diff --git a/docs/en/operations/settings/settings.md b/docs/en/operations/settings/settings.md index de601fe02dc..ea58959c123 100644 --- a/docs/en/operations/settings/settings.md +++ b/docs/en/operations/settings/settings.md @@ -5620,6 +5620,19 @@ Minimal size of block to compress in CROSS JOIN. Zero value means - disable this Default value: `1GiB`. +## use_json_alias_for_old_object_type + +When enabled, `JSON` data type alias will be used to create an old [Object('json')](../../sql-reference/data-types/json.md) type instead of the new [JSON](../../sql-reference/data-types/newjson.md) type. +This setting requires server restart to take effect when changed. + +Default value: `false`. + +## type_json_skip_duplicated_paths + +When enabled, ClickHouse will skip duplicated paths during parsing of [JSON](../../sql-reference/data-types/newjson.md) object. Only the value of the first occurrence of each path will be inserted. + +Default value: `false` + ## restore_replace_external_engines_to_null For testing purposes. Replaces all external engines to Null to not initiate external connections. diff --git a/docs/en/sql-reference/data-types/data-types-binary-encoding.md b/docs/en/sql-reference/data-types/data-types-binary-encoding.md index 812e946e43e..08fb664126a 100644 --- a/docs/en/sql-reference/data-types/data-types-binary-encoding.md +++ b/docs/en/sql-reference/data-types/data-types-binary-encoding.md @@ -12,57 +12,59 @@ This specification describes the binary format that can be used for binary encod The table below describes how each data type is represented in binary format. Each data type encoding consist of 1 byte that indicates the type and some optional additional information. `var_uint` in the binary encoding means that the size is encoded using Variable-Length Quantity compression. -| ClickHouse data type | Binary encoding | -|--------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| `Nothing` | `0x00` | -| `UInt8` | `0x01` | -| `UInt16` | `0x02` | -| `UInt32` | `0x03` | -| `UInt64` | `0x04` | -| `UInt128` | `0x05` | -| `UInt256` | `0x06` | -| `Int8` | `0x07` | -| `Int16` | `0x08` | -| `Int32` | `0x09` | -| `Int64` | `0x0A` | -| `Int128` | `0x0B` | -| `Int256` | `0x0C` | -| `Float32` | `0x0D` | -| `Float64` | `0x0E` | -| `Date` | `0x0F` | -| `Date32` | `0x10` | -| `DateTime` | `0x11` | -| `DateTime(time_zone)` | `0x12` | -| `DateTime64(P)` | `0x13` | -| `DateTime64(P, time_zone)` | `0x14` | -| `String` | `0x15` | -| `FixedString(N)` | `0x16` | -| `Enum8` | `0x17...` | -| `Enum16` | `0x18...>` | -| `Decimal32(P, S)` | `0x19` | -| `Decimal64(P, S)` | `0x1A` | -| `Decimal128(P, S)` | `0x1B` | -| `Decimal256(P, S)` | `0x1C` | -| `UUID` | `0x1D` | -| `Array(T)` | `0x1E` | -| `Tuple(T1, ..., TN)` | `0x1F...` | -| `Tuple(name1 T1, ..., nameN TN)` | `0x20...` | -| `Set` | `0x21` | -| `Interval` | `0x22` (see [interval kind binary encoding](#interval-kind-binary-encoding)) | -| `Nullable(T)` | `0x23` | -| `Function` | `0x24...` | -| `AggregateFunction(function_name(param_1, ..., param_N), arg_T1, ..., arg_TN)` | `0x25......` (see [aggregate function parameter binary encoding](#aggregate-function-parameter-binary-encoding)) | -| `LowCardinality(T)` | `0x26` | -| `Map(K, V)` | `0x27` | -| `IPv4` | `0x28` | -| `IPv6` | `0x29` | -| `Variant(T1, ..., TN)` | `0x2A...` | -| `Dynamic(max_types=N)` | `0x2B` | -| `Custom type` (`Ring`, `Polygon`, etc) | `0x2C` | -| `Bool` | `0x2D` | -| `SimpleAggregateFunction(function_name(param_1, ..., param_N), arg_T1, ..., arg_TN)` | `0x2E......` (see [aggregate function parameter binary encoding](#aggregate-function-parameter-binary-encoding)) | -| `Nested(name1 T1, ..., nameN TN)` | `0x2F...` | +| ClickHouse data type | Binary encoding | +|-----------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| `Nothing` | `0x00` | +| `UInt8` | `0x01` | +| `UInt16` | `0x02` | +| `UInt32` | `0x03` | +| `UInt64` | `0x04` | +| `UInt128` | `0x05` | +| `UInt256` | `0x06` | +| `Int8` | `0x07` | +| `Int16` | `0x08` | +| `Int32` | `0x09` | +| `Int64` | `0x0A` | +| `Int128` | `0x0B` | +| `Int256` | `0x0C` | +| `Float32` | `0x0D` | +| `Float64` | `0x0E` | +| `Date` | `0x0F` | +| `Date32` | `0x10` | +| `DateTime` | `0x11` | +| `DateTime(time_zone)` | `0x12` | +| `DateTime64(P)` | `0x13` | +| `DateTime64(P, time_zone)` | `0x14` | +| `String` | `0x15` | +| `FixedString(N)` | `0x16` | +| `Enum8` | `0x17...` | +| `Enum16` | `0x18...>` | +| `Decimal32(P, S)` | `0x19` | +| `Decimal64(P, S)` | `0x1A` | +| `Decimal128(P, S)` | `0x1B` | +| `Decimal256(P, S)` | `0x1C` | +| `UUID` | `0x1D` | +| `Array(T)` | `0x1E` | +| `Tuple(T1, ..., TN)` | `0x1F...` | +| `Tuple(name1 T1, ..., nameN TN)` | `0x20...` | +| `Set` | `0x21` | +| `Interval` | `0x22` (see [interval kind binary encoding](#interval-kind-binary-encoding)) | +| `Nullable(T)` | `0x23` | +| `Function` | `0x24...` | +| `AggregateFunction(function_name(param_1, ..., param_N), arg_T1, ..., arg_TN)` | `0x25......` (see [aggregate function parameter binary encoding](#aggregate-function-parameter-binary-encoding)) | +| `LowCardinality(T)` | `0x26` | +| `Map(K, V)` | `0x27` | +| `IPv4` | `0x28` | +| `IPv6` | `0x29` | +| `Variant(T1, ..., TN)` | `0x2A...` | +| `Dynamic(max_types=N)` | `0x2B` | +| `Custom type` (`Ring`, `Polygon`, etc) | `0x2C` | +| `Bool` | `0x2D` | +| `SimpleAggregateFunction(function_name(param_1, ..., param_N), arg_T1, ..., arg_TN)` | `0x2E......` (see [aggregate function parameter binary encoding](#aggregate-function-parameter-binary-encoding)) | +| `Nested(name1 T1, ..., nameN TN)` | `0x2F...` | +| `JSON(max_dynamic_paths=N, max_dynamic_types=M, path Type, SKIP skip_path, SKIP REGEXP skip_path_regexp)` | `0x30.........` | +For type `JSON` byte `uint8_serialization_version` indicates the version of the serialization. Right now the version is always 0 but can change in future if new arguments will be introduced for `JSON` type. ### Interval kind binary encoding diff --git a/docs/en/sql-reference/data-types/index.md b/docs/en/sql-reference/data-types/index.md index fcb0b60d022..2b89dd145e6 100644 --- a/docs/en/sql-reference/data-types/index.md +++ b/docs/en/sql-reference/data-types/index.md @@ -19,7 +19,8 @@ ClickHouse data types include: - **Boolean**: ClickHouse has a [`Boolean` type](./boolean.md) - **Strings**: [`String`](./string.md) and [`FixedString`](./fixedstring.md) - **Dates**: use [`Date`](./date.md) and [`Date32`](./date32.md) for days, and [`DateTime`](./datetime.md) and [`DateTime64`](./datetime64.md) for instances in time -- **JSON**: the [`JSON` object](./json.md) stores a JSON document in a single column +- **Object**: the [`Object`](./json.md) stores a JSON document in a single column (deprecated) +- **JSON**: the [`JSON` object](./newjson.md) stores a JSON document in a single column - **UUID**: a performant option for storing [`UUID` values](./uuid.md) - **Low cardinality types**: use an [`Enum`](./enum.md) when you have a handful of unique values, or use [`LowCardinality`](./lowcardinality.md) when you have up to 10,000 unique values of a column - **Arrays**: any column can be defined as an [`Array` of values](./array.md) diff --git a/docs/en/sql-reference/data-types/json.md b/docs/en/sql-reference/data-types/json.md index f218c8d0339..12ab9f1dddc 100644 --- a/docs/en/sql-reference/data-types/json.md +++ b/docs/en/sql-reference/data-types/json.md @@ -13,7 +13,7 @@ keywords: [object, data type] Stores JavaScript Object Notation (JSON) documents in a single column. -`JSON` is an alias for `Object('json')`. +`JSON` can be used as an alias to `Object('json')` when setting [use_json_alias_for_old_object_type](../../operations/settings/settings.md#usejsonaliasforoldobjecttype) is enabled. ## Example @@ -81,3 +81,4 @@ SELECT * FROM json FORMAT JSONEachRow - [Using JSON in ClickHouse](/docs/en/integrations/data-formats/json) - [Getting Data Into ClickHouse - Part 2 - A JSON detour](https://clickhouse.com/blog/getting-data-into-clickhouse-part-2-json) +- \ No newline at end of file diff --git a/docs/en/sql-reference/data-types/newjson.md b/docs/en/sql-reference/data-types/newjson.md new file mode 100644 index 00000000000..9e43216df6c --- /dev/null +++ b/docs/en/sql-reference/data-types/newjson.md @@ -0,0 +1,516 @@ +--- +slug: /en/sql-reference/data-types/newjson +sidebar_position: 63 +sidebar_label: JSON +keywords: [json, data type] +--- + +# JSON + +Stores JavaScript Object Notation (JSON) documents in a single column. + +:::note +This feature is experimental and is not production-ready. If you need to work with JSON documents, consider using [this guide](/docs/en/integrations/data-formats/json/overview) instead. +If you want to use JSON type, set `allow_experimental_json_type = 1`. +::: + +To declare a column of `JSON` type, use the following syntax: + +``` sql + JSON(max_dynamic_paths=N, max_dynamic_types=M, some.path TypeName, SKIP path.to.skip, SKIP REGEXP 'paths_regexp') +``` +Where: +- `max_dynamic_paths` is an optional parameter indicating how many paths can be stored separately as subcolumns across single block of data that is stored separately (for example across single data part for MergeTree table). If this limit is exceeded, all other paths will be stored together in a single structure. Default value of `max_dynamic_paths` is `1024`. +- `max_dynamic_types` is an optional parameter between `1` and `255` indicating how many different data types can be stored inside a single path column with type `Dynamic` across single block of data that is stored separately (for example across single data part for MergeTree table). If this limit is exceeded, all new types will be converted to type `String`. Default value of `max_dynamic_types` is `32`. +- `some.path TypeName` is an optional type hint for particular path in the JSON. Such paths will be always stored as subcolumns with specified type. +- `SKIP path.to.skip` is an optional hint for particular path that should be skipped during JSON parsing. Such paths will never be stored in the JSON column. If specified path is a nested JSON object, the whole nested object will be skipped. +- `SKIP REGEXP 'path_regexp'` is an optional hint with a regular expression that is used to skip paths during JSON parsing. All paths that match this regular expression will never be stored in the JSON column. + +## Creating JSON + +Using `JSON` type in table column definition: + +```sql +CREATE TABLE test (json JSON) ENGINE = Memory; +INSERT INTO test VALUES ('{"a" : {"b" : 42}, "c" : [1, 2, 3]}'), ('{"f" : "Hello, World!"}'), ('{"a" : {"b" : 43, "e" : 10}, "c" : [4, 5, 6]}'); +SELECT json FROM test; +``` + +```text +┌─json────────────────────────────────────────┐ +│ {"a":{"b":"42"},"c":["1","2","3"]} │ +│ {"f":"Hello, World!"} │ +│ {"a":{"b":"43","e":"10"},"c":["4","5","6"]} │ +└─────────────────────────────────────────────┘ +``` + +```sql +CREATE TABLE test (json JSON(a.b UInt32, SKIP a.e)) ENGINE = Memory; +INSERT INTO test VALUES ('{"a" : {"b" : 42}, "c" : [1, 2, 3]}'), ('{"f" : "Hello, World!"}'), ('{"a" : {"b" : 43, "e" : 10}, "c" : [4, 5, 6]}'); +SELECT json FROM test; +``` + +```text +┌─json──────────────────────────────┐ +│ {"a":{"b":42},"c":[1,2,3]} │ +│ {"a":{"b":0},"f":"Hello, World!"} │ +│ {"a":{"b":43},"c":[4,5,6]} │ +└───────────────────────────────────┘ +``` + +Using CAST from 'String': + +```sql +SELECT '{"a" : {"b" : 42},"c" : [1, 2, 3], "d" : "Hello, World!"}'::JSON as json; +``` + +```text +┌─json───────────────────────────────────────────┐ +│ {"a":{"b":42},"c":[1,2,3],"d":"Hello, World!"} │ +└────────────────────────────────────────────────┘ +``` + +CAST from named `Tuple`, `Map` and `Object('json')` to `JSON` type will be supported later. + +## Reading JSON paths as subcolumns + +JSON type supports reading every path as a separate subcolumn. If type of the requested path was not specified in the JSON type declaration, the subcolumn of the path will always have type [Dynamic](/docs/en/sql-reference/data-types/dynamic.md). + +For example: + +```sql +CREATE TABLE test (json JSON(a.b UInt32, SKIP a.e)) ENGINE = Memory; +INSERT INTO test VALUES ('{"a" : {"b" : 42, "g" : 42.42}, "c" : [1, 2, 3], "d" : "2020-01-01"}'), ('{"f" : "Hello, World!", "d" : "2020-01-02"}'), ('{"a" : {"b" : 43, "e" : 10, "g" : 43.43}, "c" : [4, 5, 6]}'); +SELECT json FROM test; +``` + +```text +┌─json──────────────────────────────────────────────────┐ +│ {"a":{"b":42,"g":42.42},"c":[1,2,3],"d":"2020-01-01"} │ +│ {"a":{"b":0},"d":"2020-01-02","f":"Hello, World!"} │ +│ {"a":{"b":43,"g":43.43},"c":[4,5,6]} │ +└───────────────────────────────────────────────────────┘ +``` + +```sql +SELECT json.a.b, json.a.g, json.c, json.d FROM test; +``` + +```text +┌─json.a.b─┬─json.a.g─┬─json.c──┬─json.d─────┐ +│ 42 │ 42.42 │ [1,2,3] │ 2020-01-01 │ +│ 0 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ 2020-01-02 │ +│ 43 │ 43.43 │ [4,5,6] │ ᴺᵁᴸᴸ │ +└──────────┴──────────┴─────────┴────────────┘ +``` + +If the requested path wasn't found in the data, it will be filled with `NULL` values: + +```sql +SELECT json.non.existing.path FROM test; +``` + +```text +┌─json.non.existing.path─┐ +│ ᴺᵁᴸᴸ │ +│ ᴺᵁᴸᴸ │ +│ ᴺᵁᴸᴸ │ +└────────────────────────┘ +``` + +Let's check the data types of returned subcolumns: +```sql +SELECT toTypeName(json.a.b), toTypeName(json.a.g), toTypeName(json.c), toTypeName(json.d) FROM test; +``` + +```text +┌─toTypeName(json.a.b)─┬─toTypeName(json.a.g)─┬─toTypeName(json.c)─┬─toTypeName(json.d)─┐ +│ UInt32 │ Dynamic │ Dynamic │ Dynamic │ +│ UInt32 │ Dynamic │ Dynamic │ Dynamic │ +│ UInt32 │ Dynamic │ Dynamic │ Dynamic │ +└──────────────────────┴──────────────────────┴────────────────────┴────────────────────┘ +``` + +As we can see, for `a.b` the type is `UInt32` as we specified in the JSON type declaration, and for all other subcolumns the type is `Dynamic`. + +It is also possible to read subcolumns of a `Dynamic` type using special syntax `json.some.path.:TypeName`: + +```sql +select json.a.g.:Float64, dynamicType(json.a.g), json.d.:Date, dynamicType(json.d) FROM test; +``` + +```text +┌─json.a.g.:`Float64`─┬─dynamicType(json.a.g)─┬─json.d.:`Date`─┬─dynamicType(json.d)─┐ +│ 42.42 │ Float64 │ 2020-01-01 │ Date │ +│ ᴺᵁᴸᴸ │ None │ 2020-01-02 │ Date │ +│ 43.43 │ Float64 │ ᴺᵁᴸᴸ │ None │ +└─────────────────────┴───────────────────────┴────────────────┴─────────────────────┘ +``` + +`Dynamic` subcolumns can be casted to any data type. In this case the exception will be thrown if internal type inside `Dynamic` cannot be casted to the requested type: + +```sql +select json.a.g::UInt64 as uint FROM test; +``` + +```text +┌─uint─┐ +│ 42 │ +│ 0 │ +│ 43 │ +└──────┘ +``` + +```sql +select json.a.g::UUID as float FROM test; +``` + +```text +Received exception: +Code: 48. DB::Exception: Conversion between numeric types and UUID is not supported. Probably the passed UUID is unquoted: while executing 'FUNCTION CAST(__table1.json.a.g :: 2, 'UUID'_String :: 1) -> CAST(__table1.json.a.g, 'UUID'_String) UUID : 0'. (NOT_IMPLEMENTED) +``` + +## Reading JSON sub-objects as subcolumns + +JSON type supports reading nested objects as subcolumns with type `JSON` using special syntax `json.^some.path`: + +```sql +CREATE TABLE test (json JSON) ENGINE = Memory; +INSERT INTO test VALUES ('{"a" : {"b" : {"c" : 42, "g" : 42.42}}, "c" : [1, 2, 3], "d" : {"e" : {"f" : {"g" : "Hello, World", "h" : [1, 2, 3]}}}}'), ('{"f" : "Hello, World!", "d" : {"e" : {"f" : {"h" : [4, 5, 6]}}}}'), ('{"a" : {"b" : {"c" : 43, "e" : 10, "g" : 43.43}}, "c" : [4, 5, 6]}'); +SELECT json FROM test; +``` + +```text +┌─json────────────────────────────────────────────────────────────────────────────────────────┐ +│ {"a":{"b":{"c":42,"g":42.42}},"c":[1,2,3],"d":{"e":{"f":{"g":"Hello, World","h":[1,2,3]}}}} │ +│ {"d":{"e":{"f":{"h":[4,5,6]}}},"f":"Hello, World!"} │ +│ {"a":{"b":{"c":43,"e":10,"g":43.43}},"c":[4,5,6]} │ +└─────────────────────────────────────────────────────────────────────────────────────────────┘ +``` + +```sql +SELECT json.^a.b, json.^d.e.f FROM test; +``` + +```text +┌─json.^`a`.b───────────────┬─json.^`d`.e.f────────────────────┐ +│ {"c":42,"g":42.42} │ {"g":"Hello, World","h":[1,2,3]} │ +│ {} │ {"h":[4,5,6]} │ +│ {"c":43,"e":10,"g":43.43} │ {} │ +└───────────────────────────┴──────────────────────────────────┘ +``` + +:::note +Reading sub-objects as subcolumns may be inefficient, as this may require almost full scan of the JSON data. +::: + +## Types inference for paths + +During JSON parsing ClickHouse tries to detect the most appropriate data type for each JSON path. It works similar to [automatic schema inference from input data](/docs/en/interfaces/schema-inference.md) and controlled by the same settings: + +- [input_format_try_infer_integers](/docs/en/interfaces/schema-inference.md#inputformattryinferintegers) +- [input_format_try_infer_dates](/docs/en/interfaces/schema-inference.md#inputformattryinferdates) +- [input_format_try_infer_datetimes](/docs/en/interfaces/schema-inference.md#inputformattryinferdatetimes) +- [schema_inference_make_columns_nullable](/docs/en/interfaces/schema-inference.md#schemainferencemakecolumnsnullable) +- [input_format_json_try_infer_numbers_from_strings](/docs/en/interfaces/schema-inference.md#inputformatjsontryinfernumbersfromstrings) +- [input_format_json_infer_incomplete_types_as_strings](/docs/en/interfaces/schema-inference.md#inputformatjsoninferincompletetypesasstrings) +- [input_format_json_read_numbers_as_strings](/docs/en/interfaces/schema-inference.md#inputformatjsonreadnumbersasstrings) +- [input_format_json_read_bools_as_strings](/docs/en/interfaces/schema-inference.md#inputformatjsonreadboolsasstrings) +- [input_format_json_read_bools_as_numbers](/docs/en/interfaces/schema-inference.md#inputformatjsonreadboolsasnumbers) +- [input_format_json_read_arrays_as_strings](/docs/en/interfaces/schema-inference.md#inputformatjsonreadarraysasstrings) + +Let's see some examples: + +```sql +SELECT JSONAllPathsWithTypes('{"a" : "2020-01-01", "b" : "2020-01-01 10:00:00"}'::JSON) AS paths_with_types settings input_format_try_infer_dates=1, input_format_try_infer_datetimes=1; +``` + +```text +┌─paths_with_types─────────────────┐ +│ {'a':'Date','b':'DateTime64(9)'} │ +└──────────────────────────────────┘ +``` + +```sql +SELECT JSONAllPathsWithTypes('{"a" : "2020-01-01", "b" : "2020-01-01 10:00:00"}'::JSON) AS paths_with_types settings input_format_try_infer_dates=0, input_format_try_infer_datetimes=0; +``` + +```text +┌─paths_with_types────────────┐ +│ {'a':'String','b':'String'} │ +└─────────────────────────────┘ +``` + +```sql +SELECT JSONAllPathsWithTypes('{"a" : [1, 2, 3]}'::JSON) AS paths_with_types settings schema_inference_make_columns_nullable=1; +``` + +```text +┌─paths_with_types───────────────┐ +│ {'a':'Array(Nullable(Int64))'} │ +└────────────────────────────────┘ +``` + +```sql +SELECT JSONAllPathsWithTypes('{"a" : [1, 2, 3]}'::JSON) AS paths_with_types settings schema_inference_make_columns_nullable=0; +``` + +```text +┌─paths_with_types─────┐ +│ {'a':'Array(Int64)'} │ +└──────────────────────┘ +``` + +## Handling arrays of JSON objects + +JSON paths that contains an array of objects are parsed as type `Array(JSON)` and inserted into `Dynamic` column for this path. To read an array of objects you can extract it from `Dynamic` column as a subcolumn: + +```sql +CREATE TABLE test (json JSON) ENGINE = Memory; +INSERT INTO test VALUES +('{"a" : {"b" : [{"c" : 42, "d" : "Hello", "f" : [[{"g" : 42.42}]], "k" : {"j" : 1000}}, {"c" : 43}, {"e" : [1, 2, 3], "d" : "My", "f" : [[{"g" : 43.43, "h" : "2020-01-01"}]], "k" : {"j" : 2000}}]}}'), +('{"a" : {"b" : [1, 2, 3]}}'), +('{"a" : {"b" : [{"c" : 44, "f" : [[{"h" : "2020-01-02"}]]}, {"e" : [4, 5, 6], "d" : "World", "f" : [[{"g" : 44.44}]], "k" : {"j" : 3000}}]}}'); +SELECT json FROM test; +``` + +```text3 +┌─json────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐ +│ {"a":{"b":[{"c":"42","d":"Hello","f":[[{"g":42.42}]],"k":{"j":"1000"}},{"c":"43"},{"d":"My","e":["1","2","3"],"f":[[{"g":43.43,"h":"2020-01-01"}]],"k":{"j":"2000"}}]}} │ +│ {"a":{"b":["1","2","3"]}} │ +│ {"a":{"b":[{"c":"44","f":[[{"h":"2020-01-02"}]]},{"d":"World","e":["4","5","6"],"f":[[{"g":44.44}]],"k":{"j":"3000"}}]}} │ +└─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘ +``` + +```sql +SELECT json.a.b, dynamicType(json.a.b) FROM test; +``` + +```text +┌─json.a.b──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┬─dynamicType(json.a.b)────────────────────────────────────┐ +│ ['{"c":"42","d":"Hello","f":[[{"g":42.42}]],"k":{"j":"1000"}}','{"c":"43"}','{"d":"My","e":["1","2","3"],"f":[[{"g":43.43,"h":"2020-01-01"}]],"k":{"j":"2000"}}'] │ Array(JSON(max_dynamic_types=16, max_dynamic_paths=256)) │ +│ [1,2,3] │ Array(Nullable(Int64)) │ +│ ['{"c":"44","f":[[{"h":"2020-01-02"}]]}','{"d":"World","e":["4","5","6"],"f":[[{"g":44.44}]],"k":{"j":"3000"}}'] │ Array(JSON(max_dynamic_types=16, max_dynamic_paths=256)) │ +└───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┴──────────────────────────────────────────────────────────┘ +``` + +As you can notice, the `max_dynamic_types/max_dynamic_paths` parameters of the nested `JSON` type were reduced compared to the default values. It's needed to avoid number of subcolumns to grow uncontrolled on nested arrays of JSON objects. + +Let's try to read subcolumns from this nested `JSON` column: + +```sql +SELECT json.a.b.:`Array(JSON)`.c, json.a.b.:`Array(JSON)`.f, json.a.b.:`Array(JSON)`.d FROM test; +``` + +```text +┌─json.a.b.:`Array(JSON)`.c─┬─json.a.b.:`Array(JSON)`.f───────────────────────────────────┬─json.a.b.:`Array(JSON)`.d─┐ +│ [42,43,NULL] │ [[['{"g":42.42}']],NULL,[['{"g":43.43,"h":"2020-01-01"}']]] │ ['Hello',NULL,'My'] │ +│ [] │ [] │ [] │ +│ [44,NULL] │ [[['{"h":"2020-01-02"}']],[['{"g":44.44}']]] │ [NULL,'World'] │ +└───────────────────────────┴─────────────────────────────────────────────────────────────┴───────────────────────────┘ +``` + +We can avoid writing `Array(JSON)` subcolumn name using special syntax: + +```sql +SELECT json.a.b[].c, json.a.b[].f, json.a.b[].d FROM test; +``` + +```text +┌─json.a.b.:`Array(JSON)`.c─┬─json.a.b.:`Array(JSON)`.f───────────────────────────────────┬─json.a.b.:`Array(JSON)`.d─┐ +│ [42,43,NULL] │ [[['{"g":42.42}']],NULL,[['{"g":43.43,"h":"2020-01-01"}']]] │ ['Hello',NULL,'My'] │ +│ [] │ [] │ [] │ +│ [44,NULL] │ [[['{"h":"2020-01-02"}']],[['{"g":44.44}']]] │ [NULL,'World'] │ +└───────────────────────────┴─────────────────────────────────────────────────────────────┴───────────────────────────┘ +``` + +The number of `[]` after path indicates the array level. `json.path[][]` will be transformed to `json.path.:Array(Array(JSON))` + +Let's check the paths and types inside our `Array(JSON)`: + +```sql +SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(arrayJoin(json.a.b[]))) FROM test; +``` + +```text +┌─arrayJoin(JSONAllPathsWithTypes(arrayJoin(json.a.b.:`Array(JSON)`)))──┐ +│ ('c','Int64') │ +│ ('d','String') │ +│ ('f','Array(Array(JSON(max_dynamic_types=8, max_dynamic_paths=64)))') │ +│ ('k.j','Int64') │ +│ ('e','Array(Nullable(Int64))') │ +└───────────────────────────────────────────────────────────────────────┘ +``` + +Let's read subcolumns from `Array(JSON)` column: + +```sql +SELECT json.a.b[].c.:Int64, json.a.b[].f[][].g.:Float64, json.a.b[].f[][].h.:Date FROM test; +``` + +```text +┌─json.a.b.:`Array(JSON)`.c.:`Int64`─┬─json.a.b.:`Array(JSON)`.f.:`Array(Array(JSON))`.g.:`Float64`─┬─json.a.b.:`Array(JSON)`.f.:`Array(Array(JSON))`.h.:`Date`─┐ +│ [42,43,NULL] │ [[[42.42]],[],[[43.43]]] │ [[[NULL]],[],[['2020-01-01']]] │ +│ [] │ [] │ [] │ +│ [44,NULL] │ [[[NULL]],[[44.44]]] │ [[['2020-01-02']],[[NULL]]] │ +└────────────────────────────────────┴──────────────────────────────────────────────────────────────┴───────────────────────────────────────────────────────────┘ +``` + +We can also read sub-object subcolumns from nested `JSON` column: + +```sql +SELECT json.a.b[].^k FROM test +``` + +```text +┌─json.a.b.:`Array(JSON)`.^`k`─────────┐ +│ ['{"j":"1000"}','{}','{"j":"2000"}'] │ +│ [] │ +│ ['{}','{"j":"3000"}'] │ +└──────────────────────────────────────┘ +``` + +## Reading JSON type from the data + +All text formats (JSONEachRow, TSV, CSV, CustomSeparated, Values, etc) supports reading `JSON` type. + +Examples: + +```sql +SELECT json FROM format(JSONEachRow, 'json JSON(a.b.c UInt32, SKIP a.b.d, SKIP d.e, SKIP REGEXP \'b.*\')', ' +{"json" : {"a" : {"b" : {"c" : 1, "d" : [0, 1]}}, "b" : "2020-01-01", "c" : 42, "d" : {"e" : {"f" : ["s1", "s2"]}, "i" : [1, 2, 3]}}} +{"json" : {"a" : {"b" : {"c" : 2, "d" : [2, 3]}}, "b" : [1, 2, 3], "c" : null, "d" : {"e" : {"g" : 43}, "i" : [4, 5, 6]}}} +{"json" : {"a" : {"b" : {"c" : 3, "d" : [4, 5]}}, "b" : {"c" : 10}, "e" : "Hello, World!"}} +{"json" : {"a" : {"b" : {"c" : 4, "d" : [6, 7]}}, "c" : 43}} +{"json" : {"a" : {"b" : {"c" : 5, "d" : [8, 9]}}, "b" : {"c" : 11, "j" : [1, 2, 3]}, "d" : {"e" : {"f" : ["s3", "s4"], "g" : 44}, "h" : "2020-02-02 10:00:00"}}} +') +``` + +```text +┌─json──────────────────────────────────────────────────────────┐ +│ {"a":{"b":{"c":1}},"c":"42","d":{"i":["1","2","3"]}} │ +│ {"a":{"b":{"c":2}},"d":{"i":["4","5","6"]}} │ +│ {"a":{"b":{"c":3}},"e":"Hello, World!"} │ +│ {"a":{"b":{"c":4}},"c":"43"} │ +│ {"a":{"b":{"c":5}},"d":{"h":"2020-02-02 10:00:00.000000000"}} │ +└───────────────────────────────────────────────────────────────┘ +``` + +For text formats like CSV/TSV/etc `JSON` is parsed from a string containing JSON object + +```sql +SELECT json FROM format(TSV, 'json JSON(a.b.c UInt32, SKIP a.b.d, SKIP REGEXP \'b.*\')', +'{"a" : {"b" : {"c" : 1, "d" : [0, 1]}}, "b" : "2020-01-01", "c" : 42, "d" : {"e" : {"f" : ["s1", "s2"]}, "i" : [1, 2, 3]}} +{"a" : {"b" : {"c" : 2, "d" : [2, 3]}}, "b" : [1, 2, 3], "c" : null, "d" : {"e" : {"g" : 43}, "i" : [4, 5, 6]}} +{"a" : {"b" : {"c" : 3, "d" : [4, 5]}}, "b" : {"c" : 10}, "e" : "Hello, World!"} +{"a" : {"b" : {"c" : 4, "d" : [6, 7]}}, "c" : 43} +{"a" : {"b" : {"c" : 5, "d" : [8, 9]}}, "b" : {"c" : 11, "j" : [1, 2, 3]}, "d" : {"e" : {"f" : ["s3", "s4"], "g" : 44}, "h" : "2020-02-02 10:00:00"}}') +``` + +```text +┌─json──────────────────────────────────────────────────────────┐ +│ {"a":{"b":{"c":1}},"c":"42","d":{"i":["1","2","3"]}} │ +│ {"a":{"b":{"c":2}},"d":{"i":["4","5","6"]}} │ +│ {"a":{"b":{"c":3}},"e":"Hello, World!"} │ +│ {"a":{"b":{"c":4}},"c":"43"} │ +│ {"a":{"b":{"c":5}},"d":{"h":"2020-02-02 10:00:00.000000000"}} │ +└───────────────────────────────────────────────────────────────┘ +``` + +## Reaching the limit of dynamic paths inside JSON + +`JSON` data type can store only limited number of paths as separate subcolumns inside. By default, this limit is 1024, but you can change it in type declaration using parameter `max_dynamic_paths`. +When the limit is reached, all new paths inserted to `JSON` column will be stored in a single shared data structure. It's still possible to read such paths as subcolumns, but it will require reading the whole +shared data structure to extract the values of this path. This limit is needed to avoid the enormous number of different subcolumns that can make the table unusable. + +Let's see what happens when the limit is reached in different scenarios. + +### Reaching the limit during data parsing + +During parsing of `JSON` object from the data, when the limit is reached for current block of data, all new paths will be stored in a shared data structure. We can check it using introspection functions `JSONDynamicPaths, JSONSharedDataPaths`: + +```sql +SELECT json, JSONDynamicPaths(json), JSONSharedDataPaths(json) FROM format(JSONEachRow, 'json JSON(max_dynamic_paths=3)', ' +{"json" : {"a" : {"b" : 42}, "c" : [1, 2, 3]}} +{"json" : {"a" : {"b" : 43}, "d" : "2020-01-01"}} +{"json" : {"a" : {"b" : 44}, "c" : [4, 5, 6]}} +{"json" : {"a" : {"b" : 43}, "d" : "2020-01-02", "e" : "Hello", "f" : {"g" : 42.42}}} +{"json" : {"a" : {"b" : 43}, "c" : [7, 8, 9], "f" : {"g" : 43.43}, "h" : "World"}} +') +``` + +```text +┌─json───────────────────────────────────────────────────────────┬─JSONDynamicPaths(json)─┬─JSONSharedDataPaths(json)─┐ +│ {"a":{"b":"42"},"c":["1","2","3"]} │ ['a.b','c','d'] │ [] │ +│ {"a":{"b":"43"},"d":"2020-01-01"} │ ['a.b','c','d'] │ [] │ +│ {"a":{"b":"44"},"c":["4","5","6"]} │ ['a.b','c','d'] │ [] │ +│ {"a":{"b":"43"},"d":"2020-01-02","e":"Hello","f":{"g":42.42}} │ ['a.b','c','d'] │ ['e','f.g'] │ +│ {"a":{"b":"43"},"c":["7","8","9"],"f":{"g":43.43},"h":"World"} │ ['a.b','c','d'] │ ['f.g','h'] │ +└────────────────────────────────────────────────────────────────┴────────────────────────┴───────────────────────────┘ +``` + +As we can see, after inserting paths `e` and `f.g` the limit was reached and we inserted them into shared data structure. + +### During merges of data parts in MergeTree table engines + +During merge of several data parts in MergeTree table the `JSON` column in the resulting data part can reach the limit of dynamic paths won't be able to store all paths from source parts as subcolumns. +In this case ClickHouse chooses what paths will remain as subcolumns after merge and what types will be stored in the shared data structure. In most cases ClickHouse tries to keep paths that contains +the largest number of non-null values and move the rarest paths to the shared data structure, but it depends on the implementation. + +Let's see an example of such merge. First, let's create a table with `JSON` column, set the limit of dynamic paths to `3` and insert values with `5` different paths: + +```sql +CREATE TABLE test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree ORDER BY id; +SYSTEM STOP MERGES test; +INSERT INTO test SELECT number, formatRow('JSONEachRow', number as a) FROM numbers(5); +INSERT INTO test SELECT number, formatRow('JSONEachRow', number as b) FROM numbers(4); +INSERT INTO test SELECT number, formatRow('JSONEachRow', number as c) FROM numbers(3); +INSERT INTO test SELECT number, formatRow('JSONEachRow', number as d) FROM numbers(2); +INSERT INTO test SELECT number, formatRow('JSONEachRow', number as e) FROM numbers(1); +``` + +Each insert will create a separate data pert with `JSON` column containing single path: +```sql +SELECT count(), JSONDynamicPaths(json) AS dynamic_paths, JSONSharedDataPaths(json) AS shared_data_paths, _part FROM test GROUP BY _part, dynamic_paths, shared_data_paths ORDER BY _part ASC +``` + +```text +┌─count()─┬─dynamic_paths─┬─shared_data_paths─┬─_part─────┐ +│ 5 │ ['a'] │ [] │ all_1_1_0 │ +│ 4 │ ['b'] │ [] │ all_2_2_0 │ +│ 3 │ ['c'] │ [] │ all_3_3_0 │ +│ 2 │ ['d'] │ [] │ all_4_4_0 │ +│ 1 │ ['e'] │ [] │ all_5_5_0 │ +└─────────┴───────────────┴───────────────────┴───────────┘ + +``` + +Now, let's merge all parts into one and see what will happen: + +```sql +SYSTEM START MERGES test; +OPTIMIZE TABLE test FINAL; +SELECT count(), dynamicType(d), _part FROM test GROUP BY _part, dynamicType(d) ORDER BY _part; +``` + +```text +┌─count()─┬─dynamic_paths─┬─shared_data_paths─┬─_part─────┐ +│ 1 │ ['a','b','c'] │ ['e'] │ all_1_5_2 │ +│ 2 │ ['a','b','c'] │ ['d'] │ all_1_5_2 │ +│ 12 │ ['a','b','c'] │ [] │ all_1_5_2 │ +└─────────┴───────────────┴───────────────────┴───────────┘ +``` + +As we can see, ClickHouse kept the most frequent paths `a`, `b` and `c` and moved paths `e` and `d` to shared data structure. + +## Introspection functions + +There are several functions that can help to inspect the content of the JSON column: [JSONAllPaths](../functions/json-functions.md#jsonallpaths), [JSONAllPathsWithTypes](../functions/json-functions.md#jsonallpathswithtypes), [JSONDynamicPaths](../functions/json-functions.md#jsondynamicpaths), [JSONDynamicPathsWithTypes](../functions/json-functions.md#jsondynamicpathswithtypes), [JSONSharedDataPaths](../functions/json-functions.md#jsonshareddatapaths), [JSONSharedDataPathsWithTypes](../functions/json-functions.md#jsonshareddatapathswithtypes). + +## Tips for better usage of the JSON type + +Before creating `JSON` column and loading data into it, consider the following tips: + +- Investigate your data and specify as many path hints with types as you can. It will make the storage and the reading much more efficient. +- Think about what paths you will need and what paths you will never need. Specify paths that you won't need in the SKIP section and SKIP REGEXP if needed. It will improve the storage. +- Don't set `max_dynamic_paths` parameter to very high values, it can make the storage and reading less efficient. diff --git a/docs/en/sql-reference/functions/json-functions.md b/docs/en/sql-reference/functions/json-functions.md index 7bff6a6cba5..26fe888ab49 100644 --- a/docs/en/sql-reference/functions/json-functions.md +++ b/docs/en/sql-reference/functions/json-functions.md @@ -1155,3 +1155,207 @@ SELECT jsonMergePatch('{"a":1}', '{"name": "joey"}', '{"name": "tom"}', '{"name" │ {"a":1,"name":"zoey"} │ └───────────────────────┘ ``` + +### JSONAllPaths + +Returns the list of all paths stored in each row in [JSON](../data-types/newjson.md) column. + +**Syntax** + +``` sql +JSONAllPaths(json) +``` + +**Arguments** + +- `json` — [JSON](../data-types/newjson.md). + +**Returned value** + +- An array of paths. [Array(String)](../data-types/array.md). + +**Example** + +``` sql +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONAllPaths(json) FROM test; +``` + +```text +┌─json─────────────────────────────────┬─JSONAllPaths(json)─┐ +│ {"a":"42"} │ ['a'] │ +│ {"b":"Hello"} │ ['b'] │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ ['a','c'] │ +└──────────────────────────────────────┴────────────────────┘ +``` + +### JSONAllPathsWithTypes + +Returns the map of all paths and their data types stored in each row in [JSON](../data-types/newjson.md) column. + +**Syntax** + +``` sql +JSONAllPathsWithTypes(json) +``` + +**Arguments** + +- `json` — [JSON](../data-types/newjson.md). + +**Returned value** + +- An array of paths. [Map(String, String)](../data-types/array.md). + +**Example** + +``` sql +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONAllPathsWithTypes(json) FROM test; +``` + +```text +┌─json─────────────────────────────────┬─JSONAllPathsWithTypes(json)───────────────┐ +│ {"a":"42"} │ {'a':'Int64'} │ +│ {"b":"Hello"} │ {'b':'String'} │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ {'a':'Array(Nullable(Int64))','c':'Date'} │ +└──────────────────────────────────────┴───────────────────────────────────────────┘ +``` + +### JSONDynamicPaths + +Returns the list of dynamic paths that are stored as separate subcolumns in [JSON](../data-types/newjson.md) column. + +**Syntax** + +``` sql +JSONDynamicPaths(json) +``` + +**Arguments** + +- `json` — [JSON](../data-types/newjson.md). + +**Returned value** + +- An array of paths. [Array(String)](../data-types/array.md). + +**Example** + +``` sql +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONDynamicPaths(json) FROM test; +``` + +```text +┌─json─────────────────────────────────┬─JSONDynamicPaths(json)─┐ +| {"a":"42"} │ ['a'] │ +│ {"b":"Hello"} │ [] │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ ['a'] │ +└──────────────────────────────────────┴────────────────────────┘ +``` + +### JSONDynamicPathsWithTypes + +Returns the map of dynamic paths that are stored as separate subcolumns and their types in each row in [JSON](../data-types/newjson.md) column. + +**Syntax** + +``` sql +JSONAllPathsWithTypes(json) +``` + +**Arguments** + +- `json` — [JSON](../data-types/newjson.md). + +**Returned value** + +- An array of paths. [Map(String, String)](../data-types/array.md). + +**Example** + +``` sql +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONDynamicPathsWithTypes(json) FROM test; +``` + +```text +┌─json─────────────────────────────────┬─JSONDynamicPathsWithTypes(json)─┐ +│ {"a":"42"} │ {'a':'Int64'} │ +│ {"b":"Hello"} │ {} │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ {'a':'Array(Nullable(Int64))'} │ +└──────────────────────────────────────┴─────────────────────────────────┘ +``` + +### JSONSharedDataPaths + +Returns the list of paths that are stored in shared data structure in [JSON](../data-types/newjson.md) column. + +**Syntax** + +``` sql +JSONSharedDataPaths(json) +``` + +**Arguments** + +- `json` — [JSON](../data-types/newjson.md). + +**Returned value** + +- An array of paths. [Array(String)](../data-types/array.md). + +**Example** + +``` sql +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONSharedDataPaths(json) FROM test; +``` + +```text +┌─json─────────────────────────────────┬─JSONSharedDataPaths(json)─┐ +│ {"a":"42"} │ [] │ +│ {"b":"Hello"} │ ['b'] │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ ['c'] │ +└──────────────────────────────────────┴───────────────────────────┘ +``` + +### JSONSharedDataPathsWithTypes + +Returns the map of paths that are stored in shared data structure and their types in each row in [JSON](../data-types/newjson.md) column. + +**Syntax** + +``` sql +JSONSharedDataPathsWithTypes(json) +``` + +**Arguments** + +- `json` — [JSON](../data-types/newjson.md). + +**Returned value** + +- An array of paths. [Map(String, String)](../data-types/array.md). + +**Example** + +``` sql +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONSharedDataPathsWithTypes(json) FROM test; +``` + +```text +┌─json─────────────────────────────────┬─JSONSharedDataPathsWithTypes(json)─┐ +│ {"a":"42"} │ {} │ +│ {"b":"Hello"} │ {'b':'String'} │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ {'c':'Date'} │ +└──────────────────────────────────────┴────────────────────────────────────┘ +``` diff --git a/programs/format/Format.cpp b/programs/format/Format.cpp index 1b91e7ceaf3..a434c9171e9 100644 --- a/programs/format/Format.cpp +++ b/programs/format/Format.cpp @@ -175,6 +175,11 @@ int mainEntryClickHouseFormat(int argc, char ** argv) hash_func.update(options["seed"].as()); } + SharedContextHolder shared_context = Context::createShared(); + auto context = Context::createGlobal(shared_context.get()); + auto context_const = WithContext(context).getContext(); + context->makeGlobalContext(); + registerInterpreters(); registerFunctions(); registerAggregateFunctions(); diff --git a/src/Analyzer/Resolve/IdentifierResolver.cpp b/src/Analyzer/Resolve/IdentifierResolver.cpp index a79433ac130..14d4acc7c9b 100644 --- a/src/Analyzer/Resolve/IdentifierResolver.cpp +++ b/src/Analyzer/Resolve/IdentifierResolver.cpp @@ -1,5 +1,5 @@ #include -#include +#include #include #include @@ -452,10 +452,10 @@ QueryTreeNodePtr IdentifierResolver::tryResolveIdentifierFromCompoundExpression( if (auto * column = compound_expression->as()) { const DataTypePtr & column_type = column->getColumn().getTypeInStorage(); - if (column_type->getTypeId() == TypeIndex::Object) + if (column_type->getTypeId() == TypeIndex::ObjectDeprecated) { - const auto * object_type = checkAndGetDataType(column_type.get()); - if (object_type->getSchemaFormat() == "json" && object_type->hasNullableSubcolumns()) + const auto & object_type = checkAndGetDataType(*column_type); + if (object_type.getSchemaFormat() == "json" && object_type.hasNullableSubcolumns()) { QueryTreeNodePtr constant_node_null = std::make_shared(Field()); return constant_node_null; @@ -1000,7 +1000,6 @@ QueryTreeNodePtr IdentifierResolver::tryResolveIdentifierFromJoin(const Identifi if (!join_node_in_resolve_process && from_join_node.isUsingJoinExpression()) { auto & join_using_list = from_join_node.getJoinExpression()->as(); - for (auto & join_using_node : join_using_list.getNodes()) { auto & column_node = join_using_node->as(); diff --git a/src/Analyzer/Resolve/QueryAnalyzer.cpp b/src/Analyzer/Resolve/QueryAnalyzer.cpp index 2e8acf2f201..004da5ed341 100644 --- a/src/Analyzer/Resolve/QueryAnalyzer.cpp +++ b/src/Analyzer/Resolve/QueryAnalyzer.cpp @@ -3,7 +3,7 @@ #include #include #include -#include +#include #include #include #include diff --git a/src/Columns/ColumnArray.cpp b/src/Columns/ColumnArray.cpp index 26841879474..83d4c24c769 100644 --- a/src/Columns/ColumnArray.cpp +++ b/src/Columns/ColumnArray.cpp @@ -452,6 +452,11 @@ void ColumnArray::reserve(size_t n) getData().reserve(n); /// The average size of arrays is not taken into account here. Or it is considered to be no more than 1. } +size_t ColumnArray::capacity() const +{ + return getOffsets().capacity(); +} + void ColumnArray::prepareForSquashing(const Columns & source_columns) { size_t new_size = size(); diff --git a/src/Columns/ColumnArray.h b/src/Columns/ColumnArray.h index d6f71b72940..f77268a8be6 100644 --- a/src/Columns/ColumnArray.h +++ b/src/Columns/ColumnArray.h @@ -118,6 +118,7 @@ public: void updatePermutationWithCollation(const Collator & collator, PermutationSortDirection direction, PermutationSortStability stability, size_t limit, int nan_direction_hint, Permutation & res, EqualRanges& equal_ranges) const override; void reserve(size_t n) override; + size_t capacity() const override; void prepareForSquashing(const Columns & source_columns) override; void shrinkToFit() override; void ensureOwnership() override; diff --git a/src/Columns/ColumnDecimal.h b/src/Columns/ColumnDecimal.h index 07120f5f035..6f8360a54dd 100644 --- a/src/Columns/ColumnDecimal.h +++ b/src/Columns/ColumnDecimal.h @@ -53,6 +53,7 @@ public: size_t allocatedBytes() const override { return data.allocated_bytes(); } void protect() override { data.protect(); } void reserve(size_t n) override { data.reserve_exact(n); } + size_t capacity() const override { return data.capacity(); } void shrinkToFit() override { data.shrink_to_fit(); } #if !defined(DEBUG_OR_SANITIZER_BUILD) diff --git a/src/Columns/ColumnDynamic.cpp b/src/Columns/ColumnDynamic.cpp index 69b4c5dfc4e..1f37add9d2d 100644 --- a/src/Columns/ColumnDynamic.cpp +++ b/src/Columns/ColumnDynamic.cpp @@ -16,7 +16,6 @@ #include #include #include -#include namespace DB { @@ -56,6 +55,7 @@ ColumnDynamic::ColumnDynamic(size_t max_dynamic_types_) : max_dynamic_types(max_ ColumnDynamic::ColumnDynamic( MutableColumnPtr variant_column_, const DataTypePtr & variant_type_, size_t max_dynamic_types_, size_t global_max_dynamic_types_, const StatisticsPtr & statistics_) : variant_column(std::move(variant_column_)) + , variant_column_ptr(assert_cast(variant_column.get())) , max_dynamic_types(max_dynamic_types_) , global_max_dynamic_types(global_max_dynamic_types_) , statistics(statistics_) @@ -66,6 +66,7 @@ ColumnDynamic::ColumnDynamic( ColumnDynamic::ColumnDynamic( MutableColumnPtr variant_column_, const VariantInfo & variant_info_, size_t max_dynamic_types_, size_t global_max_dynamic_types_, const StatisticsPtr & statistics_) : variant_column(std::move(variant_column_)) + , variant_column_ptr(assert_cast(variant_column.get())) , variant_info(variant_info_) , max_dynamic_types(max_dynamic_types_) , global_max_dynamic_types(global_max_dynamic_types_) @@ -79,6 +80,7 @@ void ColumnDynamic::setVariantType(const DataTypePtr & variant_type) throw Exception(ErrorCodes::LOGICAL_ERROR, "Setting specific variant type is allowed only for empty dynamic column"); variant_column = variant_type->createColumn(); + variant_column_ptr = assert_cast(variant_column.get()); createVariantInfo(variant_type); } @@ -313,12 +315,12 @@ void ColumnDynamic::doInsertFrom(const IColumn & src_, size_t n) /// Check if we have the same variants in both columns. if (variant_info.variant_name == dynamic_src.variant_info.variant_name) { - variant_column->insertFrom(*dynamic_src.variant_column, n); + variant_column_ptr->insertFrom(*dynamic_src.variant_column, n); return; } - auto & variant_col = assert_cast(*variant_column); - const auto & src_variant_col = assert_cast(*dynamic_src.variant_column); + auto & variant_col = getVariantColumn(); + const auto & src_variant_col = dynamic_src.getVariantColumn(); auto src_global_discr = src_variant_col.globalDiscriminatorAt(n); auto src_offset = src_variant_col.offsetAt(n); @@ -386,16 +388,15 @@ void ColumnDynamic::doInsertRangeFrom(const IColumn & src_, size_t start, size_t "[start({}) + length({}) > src.size()({})]", start, length, src_.size()); const auto & dynamic_src = assert_cast(src_); + auto & variant_col = getVariantColumn(); /// Check if we have the same variants in both columns. if (variant_info.variant_names == dynamic_src.variant_info.variant_names) { - variant_column->insertRangeFrom(*dynamic_src.variant_column, start, length); + variant_col.insertRangeFrom(*dynamic_src.variant_column, start, length); return; } - auto & variant_col = assert_cast(*variant_column); - /// If variants are different, we need to extend our variant with new variants. if (auto * global_discriminators_mapping = combineVariants(dynamic_src.variant_info)) { @@ -602,15 +603,15 @@ void ColumnDynamic::doInsertManyFrom(const IColumn & src_, size_t position, size #endif { const auto & dynamic_src = assert_cast(src_); + auto & variant_col = getVariantColumn(); /// Check if we have the same variants in both columns. if (variant_info.variant_names == dynamic_src.variant_info.variant_names) { - variant_column->insertManyFrom(*dynamic_src.variant_column, position, length); + variant_col.insertManyFrom(*dynamic_src.variant_column, position, length); return; } - auto & variant_col = assert_cast(*variant_column); const auto & src_variant_col = assert_cast(*dynamic_src.variant_column); auto src_global_discr = src_variant_col.globalDiscriminatorAt(position); auto src_offset = src_variant_col.offsetAt(position); @@ -751,7 +752,7 @@ StringRef ColumnDynamic::serializeValueIntoArena(size_t n, Arena & arena, const const char * ColumnDynamic::deserializeAndInsertFromArena(const char * pos) { - auto & variant_col = assert_cast(*variant_column); + auto & variant_col = getVariantColumn(); UInt8 null_bit = unalignedLoad(pos); pos += sizeof(UInt8); if (null_bit) @@ -808,7 +809,7 @@ const char * ColumnDynamic::skipSerializedInArena(const char * pos) const void ColumnDynamic::updateHashWithValue(size_t n, SipHash & hash) const { - const auto & variant_col = assert_cast(*variant_column); + const auto & variant_col = getVariantColumn(); auto discr = variant_col.globalDiscriminatorAt(n); if (discr == ColumnVariant::NULL_DISCRIMINATOR) { @@ -826,9 +827,9 @@ int ColumnDynamic::compareAt(size_t n, size_t m, const IColumn & rhs, int nan_di int ColumnDynamic::doCompareAt(size_t n, size_t m, const IColumn & rhs, int nan_direction_hint) const #endif { - const auto & left_variant = assert_cast(*variant_column); + const auto & left_variant = getVariantColumn(); const auto & right_dynamic = assert_cast(rhs); - const auto & right_variant = assert_cast(*right_dynamic.variant_column); + const auto & right_variant = right_dynamic.getVariantColumn(); auto left_discr = left_variant.globalDiscriminatorAt(n); auto left_shared_variant_discr = getSharedVariantDiscriminator(); @@ -970,7 +971,7 @@ void ColumnDynamic::updatePermutation(IColumn::PermutationSortDirection directio ColumnPtr ColumnDynamic::compress() const { - ColumnPtr variant_compressed = variant_column->compress(); + ColumnPtr variant_compressed = variant_column_ptr->compress(); size_t byte_size = variant_compressed->byteSize(); return ColumnCompressed::create(size(), byte_size, [my_variant_compressed = std::move(variant_compressed), my_variant_info = variant_info, my_max_dynamic_types = max_dynamic_types, my_global_max_dynamic_types = global_max_dynamic_types, my_statistics = statistics]() mutable @@ -998,7 +999,18 @@ void ColumnDynamic::prepareForSquashing(const Columns & source_columns) variant_col.getLocalDiscriminators().reserve_exact(new_size); variant_col.getOffsets().reserve_exact(new_size); - /// Second, collect all variants and their total sizes. + /// Second, preallocate memory for variants. + prepareVariantsForSquashing(source_columns); +} + +void ColumnDynamic::prepareVariantsForSquashing(const Columns & source_columns) +{ + /// Internal variants of source dynamic columns may differ. + /// We want to preallocate memory for all variants we will have after squashing. + /// It may happen that the total number of variants in source columns will + /// exceed the limit, in this case we will choose the most frequent variants. + + /// Collect all variants and their total sizes. std::unordered_map total_variant_sizes; DataTypes all_variants; @@ -1072,6 +1084,7 @@ void ColumnDynamic::prepareForSquashing(const Columns & source_columns) /// Now current dynamic column has all resulting variants and we can call /// prepareForSquashing on them to preallocate the memory. + auto & variant_col = getVariantColumn(); for (size_t i = 0; i != variant_info.variant_names.size(); ++i) { Columns source_variant_columns; @@ -1240,12 +1253,12 @@ void ColumnDynamic::takeDynamicStructureFromSourceColumns(const Columns & source void ColumnDynamic::applyNullMap(const ColumnVector::Container & null_map) { - assert_cast(*variant_column).applyNullMap(null_map); + variant_column_ptr->applyNullMap(null_map); } void ColumnDynamic::applyNegatedNullMap(const ColumnVector::Container & null_map) { - assert_cast(*variant_column).applyNegatedNullMap(null_map); + variant_column_ptr->applyNegatedNullMap(null_map); } } diff --git a/src/Columns/ColumnDynamic.h b/src/Columns/ColumnDynamic.h index e6e720765f6..2ae862de3af 100644 --- a/src/Columns/ColumnDynamic.h +++ b/src/Columns/ColumnDynamic.h @@ -106,7 +106,7 @@ public: return create(variant_column_->assumeMutable(), variant_type, max_dynamic_types_, global_max_dynamic_types_, statistics_); } - static MutablePtr create(size_t max_dynamic_types_) + static MutablePtr create(size_t max_dynamic_types_ = MAX_DYNAMIC_TYPES_LIMIT) { return Base::create(max_dynamic_types_); } @@ -136,7 +136,7 @@ public: size_t size() const override { - return variant_column->size(); + return variant_column_ptr->size(); } Field operator[](size_t n) const override; @@ -145,22 +145,22 @@ public: bool isDefaultAt(size_t n) const override { - return variant_column->isDefaultAt(n); + return variant_column_ptr->isDefaultAt(n); } bool isNullAt(size_t n) const override { - return variant_column->isNullAt(n); + return variant_column_ptr->isNullAt(n); } StringRef getDataAt(size_t n) const override { - return variant_column->getDataAt(n); + return variant_column_ptr->getDataAt(n); } void insertData(const char * pos, size_t length) override { - variant_column->insertData(pos, length); + variant_column_ptr->insertData(pos, length); } void insert(const Field & x) override; @@ -178,17 +178,17 @@ public: void insertDefault() override { - variant_column->insertDefault(); + variant_column_ptr->insertDefault(); } void insertManyDefaults(size_t length) override { - variant_column->insertManyDefaults(length); + variant_column_ptr->insertManyDefaults(length); } void popBack(size_t n) override { - variant_column->popBack(n); + variant_column_ptr->popBack(n); } StringRef serializeValueIntoArena(size_t n, Arena & arena, char const *& begin) const override; @@ -199,42 +199,42 @@ public: WeakHash32 getWeakHash32() const override { - return variant_column->getWeakHash32(); + return variant_column_ptr->getWeakHash32(); } void updateHashFast(SipHash & hash) const override { - variant_column->updateHashFast(hash); + variant_column_ptr->updateHashFast(hash); } ColumnPtr filter(const Filter & filt, ssize_t result_size_hint) const override { - return create(variant_column->filter(filt, result_size_hint), variant_info, max_dynamic_types, global_max_dynamic_types); + return create(variant_column_ptr->filter(filt, result_size_hint), variant_info, max_dynamic_types, global_max_dynamic_types); } void expand(const Filter & mask, bool inverted) override { - variant_column->expand(mask, inverted); + variant_column_ptr->expand(mask, inverted); } ColumnPtr permute(const Permutation & perm, size_t limit) const override { - return create(variant_column->permute(perm, limit), variant_info, max_dynamic_types, global_max_dynamic_types); + return create(variant_column_ptr->permute(perm, limit), variant_info, max_dynamic_types, global_max_dynamic_types); } ColumnPtr index(const IColumn & indexes, size_t limit) const override { - return create(variant_column->index(indexes, limit), variant_info, max_dynamic_types, global_max_dynamic_types); + return create(variant_column_ptr->index(indexes, limit), variant_info, max_dynamic_types, global_max_dynamic_types); } ColumnPtr replicate(const Offsets & replicate_offsets) const override { - return create(variant_column->replicate(replicate_offsets), variant_info, max_dynamic_types, global_max_dynamic_types); + return create(variant_column_ptr->replicate(replicate_offsets), variant_info, max_dynamic_types, global_max_dynamic_types); } MutableColumns scatter(ColumnIndex num_columns, const Selector & selector) const override { - MutableColumns scattered_variant_columns = variant_column->scatter(num_columns, selector); + MutableColumns scattered_variant_columns = variant_column_ptr->scatter(num_columns, selector); MutableColumns scattered_columns; scattered_columns.reserve(num_columns); for (auto & scattered_variant_column : scattered_variant_columns) @@ -251,12 +251,12 @@ public: bool hasEqualValues() const override { - return variant_column->hasEqualValues(); + return variant_column_ptr->hasEqualValues(); } void getExtremes(Field & min, Field & max) const override { - variant_column->getExtremes(min, max); + variant_column_ptr->getExtremes(min, max); } void getPermutation(IColumn::PermutationSortDirection direction, IColumn::PermutationSortStability stability, @@ -267,44 +267,53 @@ public: void reserve(size_t n) override { - variant_column->reserve(n); + variant_column_ptr->reserve(n); + } + + size_t capacity() const override + { + return variant_column_ptr->capacity(); } void prepareForSquashing(const Columns & source_columns) override; + /// Prepare only variants but not discriminators and offsets. + void prepareVariantsForSquashing(const Columns & source_columns); void ensureOwnership() override { - variant_column->ensureOwnership(); + variant_column_ptr->ensureOwnership(); } size_t byteSize() const override { - return variant_column->byteSize(); + return variant_column_ptr->byteSize(); } size_t byteSizeAt(size_t n) const override { - return variant_column->byteSizeAt(n); + return variant_column_ptr->byteSizeAt(n); } size_t allocatedBytes() const override { - return variant_column->allocatedBytes(); + return variant_column_ptr->allocatedBytes(); } void protect() override { - variant_column->protect(); + variant_column_ptr->protect(); } void forEachSubcolumn(MutableColumnCallback callback) override { callback(variant_column); + variant_column_ptr = assert_cast(variant_column.get()); } void forEachSubcolumnRecursively(RecursiveMutableColumnCallback callback) override { callback(*variant_column); + variant_column_ptr = assert_cast(variant_column.get()); variant_column->forEachSubcolumnRecursively(callback); } @@ -319,27 +328,27 @@ public: double getRatioOfDefaultRows(double sample_ratio) const override { - return variant_column->getRatioOfDefaultRows(sample_ratio); + return variant_column_ptr->getRatioOfDefaultRows(sample_ratio); } UInt64 getNumberOfDefaultRows() const override { - return variant_column->getNumberOfDefaultRows(); + return variant_column_ptr->getNumberOfDefaultRows(); } void getIndicesOfNonDefaultRows(Offsets & indices, size_t from, size_t limit) const override { - variant_column->getIndicesOfNonDefaultRows(indices, from, limit); + variant_column_ptr->getIndicesOfNonDefaultRows(indices, from, limit); } void finalize() override { - variant_column->finalize(); + variant_column_ptr->finalize(); } bool isFinalized() const override { - return variant_column->isFinalized(); + return variant_column_ptr->isFinalized(); } /// Apply null map to a nested Variant column. @@ -351,8 +360,8 @@ public: const ColumnPtr & getVariantColumnPtr() const { return variant_column; } ColumnPtr & getVariantColumnPtr() { return variant_column; } - const ColumnVariant & getVariantColumn() const { return assert_cast(*variant_column); } - ColumnVariant & getVariantColumn() { return assert_cast(*variant_column); } + const ColumnVariant & getVariantColumn() const { return *variant_column_ptr; } + ColumnVariant & getVariantColumn() { return *variant_column_ptr; } bool addNewVariant(const DataTypePtr & new_variant, const String & new_variant_name); bool addNewVariant(const DataTypePtr & new_variant) { return addNewVariant(new_variant, new_variant->getName()); } @@ -420,6 +429,7 @@ public: } const SerializationPtr & getVariantSerialization(const DataTypePtr & variant_type) const { return getVariantSerialization(variant_type, variant_type->getName()); } + private: void createVariantInfo(const DataTypePtr & variant_type); @@ -432,6 +442,10 @@ private: void updateVariantInfoAndExpandVariantColumn(const DataTypePtr & new_variant_type); WrappedPtr variant_column; + /// Store and use pointer to ColumnVariant to avoid virtual calls. + /// ColumnDynamic is widely used inside ColumnObject for each path and + /// with hundreds of paths these virtual calls are noticeable. + ColumnVariant * variant_column_ptr; /// Store the type of current variant with some additional information. VariantInfo variant_info; /// The maximum number of different types that can be stored in this Dynamic column. diff --git a/src/Columns/ColumnFixedString.h b/src/Columns/ColumnFixedString.h index 676ac7712ba..8cf0a6a57da 100644 --- a/src/Columns/ColumnFixedString.h +++ b/src/Columns/ColumnFixedString.h @@ -182,6 +182,11 @@ public: chars.reserve_exact(n * size); } + size_t capacity() const override + { + return chars.capacity() / n; + } + void shrinkToFit() override { chars.shrink_to_fit(); diff --git a/src/Columns/ColumnLowCardinality.h b/src/Columns/ColumnLowCardinality.h index d9c90e7dc21..3cc1c8919c0 100644 --- a/src/Columns/ColumnLowCardinality.h +++ b/src/Columns/ColumnLowCardinality.h @@ -172,6 +172,7 @@ public: } void reserve(size_t n) override { idx.reserve(n); } + size_t capacity() const override { return idx.capacity(); } void shrinkToFit() override { idx.shrinkToFit(); } /// Don't count the dictionary size as it can be shared between different blocks. @@ -309,6 +310,7 @@ public: void popBack(size_t n) { positions->popBack(n); } void reserve(size_t n) { positions->reserve(n); } + size_t capacity() const { return positions->capacity(); } void shrinkToFit() { positions->shrinkToFit(); } UInt64 getMaxPositionForCurrentType() const; diff --git a/src/Columns/ColumnMap.cpp b/src/Columns/ColumnMap.cpp index 651b073fef7..536da4d06d0 100644 --- a/src/Columns/ColumnMap.cpp +++ b/src/Columns/ColumnMap.cpp @@ -249,6 +249,11 @@ void ColumnMap::reserve(size_t n) nested->reserve(n); } +size_t ColumnMap::capacity() const +{ + return nested->capacity(); +} + void ColumnMap::prepareForSquashing(const Columns & source_columns) { Columns nested_source_columns; diff --git a/src/Columns/ColumnMap.h b/src/Columns/ColumnMap.h index 191476839f1..39d15a586b9 100644 --- a/src/Columns/ColumnMap.h +++ b/src/Columns/ColumnMap.h @@ -94,6 +94,7 @@ public: void updatePermutation(IColumn::PermutationSortDirection direction, IColumn::PermutationSortStability stability, size_t limit, int nan_direction_hint, IColumn::Permutation & res, EqualRanges & equal_ranges) const override; void reserve(size_t n) override; + size_t capacity() const override; void prepareForSquashing(const Columns & source_columns) override; void shrinkToFit() override; void ensureOwnership() override; diff --git a/src/Columns/ColumnNullable.cpp b/src/Columns/ColumnNullable.cpp index 2a25cac6461..ec375ea5a8d 100644 --- a/src/Columns/ColumnNullable.cpp +++ b/src/Columns/ColumnNullable.cpp @@ -706,6 +706,11 @@ void ColumnNullable::reserve(size_t n) getNullMapData().reserve(n); } +size_t ColumnNullable::capacity() const +{ + return getNullMapData().capacity(); +} + void ColumnNullable::prepareForSquashing(const Columns & source_columns) { size_t new_size = size(); diff --git a/src/Columns/ColumnNullable.h b/src/Columns/ColumnNullable.h index 2c32e0fe5a0..78274baca51 100644 --- a/src/Columns/ColumnNullable.h +++ b/src/Columns/ColumnNullable.h @@ -125,6 +125,7 @@ public: size_t limit, int null_direction_hint, Permutation & res, EqualRanges& equal_ranges) const override; size_t estimateCardinalityInPermutedRange(const Permutation & permutation, const EqualRange & equal_range) const override; void reserve(size_t n) override; + size_t capacity() const override; void prepareForSquashing(const Columns & source_columns) override; void shrinkToFit() override; void ensureOwnership() override; diff --git a/src/Columns/ColumnObject.cpp b/src/Columns/ColumnObject.cpp index eb99bb4081b..b7194ef50e7 100644 --- a/src/Columns/ColumnObject.cpp +++ b/src/Columns/ColumnObject.cpp @@ -1,766 +1,444 @@ -#include #include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - +#include +#include +#include +#include +#include +#include namespace DB { namespace ErrorCodes { - extern const int ARGUMENT_OUT_OF_BOUND; - extern const int DUPLICATE_COLUMN; - extern const int EXPERIMENTAL_FEATURE_ERROR; - extern const int ILLEGAL_COLUMN; - extern const int NUMBER_OF_DIMENSIONS_MISMATCHED; - extern const int SIZES_OF_COLUMNS_DOESNT_MATCH; + extern const int NOT_IMPLEMENTED; + extern const int LOGICAL_ERROR; } namespace { -/// Recreates column with default scalar values and keeps sizes of arrays. -ColumnPtr recreateColumnWithDefaultValues( - const ColumnPtr & column, const DataTypePtr & scalar_type, size_t num_dimensions) +const FormatSettings & getFormatSettings() { - const auto * column_array = checkAndGetColumn(column.get()); - if (column_array && num_dimensions) - { - return ColumnArray::create( - recreateColumnWithDefaultValues( - column_array->getDataPtr(), scalar_type, num_dimensions - 1), - IColumn::mutate(column_array->getOffsetsPtr())); - } - - return createArrayOfType(scalar_type, num_dimensions)->createColumn()->cloneResized(column->size()); + static const FormatSettings settings; + return settings; } -/// Replaces NULL fields to given field or empty array. -class FieldVisitorReplaceNull : public StaticVisitor +const std::shared_ptr & getDynamicSerialization() { -public: - explicit FieldVisitorReplaceNull( - const Field & replacement_, size_t num_dimensions_) - : replacement(replacement_) - , num_dimensions(num_dimensions_) - { - } - - Field operator()(const Null &) const - { - return num_dimensions ? Array() : replacement; - } - - Field operator()(const Array & x) const - { - assert(num_dimensions > 0); - const size_t size = x.size(); - Array res(size); - for (size_t i = 0; i < size; ++i) - res[i] = applyVisitor(FieldVisitorReplaceNull(replacement, num_dimensions - 1), x[i]); - return res; - } - - template - Field operator()(const T & x) const { return x; } - -private: - const Field & replacement; - size_t num_dimensions; -}; - -/// Visitor that allows to get type of scalar field -/// or least common type of scalars in array. -/// More optimized version of FieldToDataType. -class FieldVisitorToScalarType : public StaticVisitor<> -{ -public: - using FieldType = Field::Types::Which; - - void operator()(const Array & x) - { - size_t size = x.size(); - for (size_t i = 0; i < size; ++i) - applyVisitor(*this, x[i]); - } - - void operator()(const UInt64 & x) - { - field_types.insert(FieldType::UInt64); - if (x <= std::numeric_limits::max()) - type_indexes.insert(TypeIndex::UInt8); - else if (x <= std::numeric_limits::max()) - type_indexes.insert(TypeIndex::UInt16); - else if (x <= std::numeric_limits::max()) - type_indexes.insert(TypeIndex::UInt32); - else - type_indexes.insert(TypeIndex::UInt64); - } - - void operator()(const Int64 & x) - { - field_types.insert(FieldType::Int64); - if (x <= std::numeric_limits::max() && x >= std::numeric_limits::min()) - type_indexes.insert(TypeIndex::Int8); - else if (x <= std::numeric_limits::max() && x >= std::numeric_limits::min()) - type_indexes.insert(TypeIndex::Int16); - else if (x <= std::numeric_limits::max() && x >= std::numeric_limits::min()) - type_indexes.insert(TypeIndex::Int32); - else - type_indexes.insert(TypeIndex::Int64); - } - - void operator()(const bool &) - { - field_types.insert(FieldType::UInt64); - type_indexes.insert(TypeIndex::UInt8); - } - - void operator()(const Null &) - { - have_nulls = true; - } - - template - void operator()(const T &) - { - field_types.insert(Field::TypeToEnum>::value); - type_indexes.insert(TypeToTypeIndex>); - } - - DataTypePtr getScalarType() const { return getLeastSupertypeOrString(type_indexes); } - bool haveNulls() const { return have_nulls; } - bool needConvertField() const { return field_types.size() > 1; } - -private: - TypeIndexSet type_indexes; - std::unordered_set field_types; - bool have_nulls = false; -}; + static const std::shared_ptr dynamic_serialization = std::make_shared(); + return dynamic_serialization; +} } -FieldInfo getFieldInfo(const Field & field) +ColumnObject::ColumnObject( + std::unordered_map typed_paths_, + std::unordered_map dynamic_paths_, + MutableColumnPtr shared_data_, + size_t max_dynamic_paths_, + size_t global_max_dynamic_paths_, + size_t max_dynamic_types_, + const StatisticsPtr & statistics_) + : shared_data(std::move(shared_data_)) + , max_dynamic_paths(max_dynamic_paths_) + , global_max_dynamic_paths(global_max_dynamic_paths_) + , max_dynamic_types(max_dynamic_types_) + , statistics(statistics_) { - FieldVisitorToScalarType to_scalar_type_visitor; - applyVisitor(to_scalar_type_visitor, field); - FieldVisitorToNumberOfDimensions to_number_dimension_visitor; + typed_paths.reserve(typed_paths_.size()); + for (auto & [path, column] : typed_paths_) + typed_paths[path] = std::move(column); - return + dynamic_paths.reserve(dynamic_paths_.size()); + dynamic_paths_ptrs.reserve(dynamic_paths_.size()); + for (auto & [path, column] : dynamic_paths_) { - to_scalar_type_visitor.getScalarType(), - to_scalar_type_visitor.haveNulls(), - to_scalar_type_visitor.needConvertField(), - applyVisitor(to_number_dimension_visitor, field), - to_number_dimension_visitor.need_fold_dimension - }; -} - -ColumnObject::Subcolumn::Subcolumn(MutableColumnPtr && data_, bool is_nullable_) - : least_common_type(getDataTypeByColumn(*data_)) - , is_nullable(is_nullable_) - , num_rows(data_->size()) -{ - data.push_back(std::move(data_)); -} - -ColumnObject::Subcolumn::Subcolumn( - size_t size_, bool is_nullable_) - : least_common_type(std::make_shared()) - , is_nullable(is_nullable_) - , num_of_defaults_in_prefix(size_) - , num_rows(size_) -{ -} - -size_t ColumnObject::Subcolumn::size() const -{ - return num_rows; -} - -size_t ColumnObject::Subcolumn::byteSize() const -{ - size_t res = 0; - for (const auto & part : data) - res += part->byteSize(); - return res; -} - -size_t ColumnObject::Subcolumn::allocatedBytes() const -{ - size_t res = 0; - for (const auto & part : data) - res += part->allocatedBytes(); - return res; -} - -void ColumnObject::Subcolumn::get(size_t n, Field & res) const -{ - if (isFinalized()) - { - getFinalizedColumn().get(n, res); - return; - } - - size_t ind = n; - if (ind < num_of_defaults_in_prefix) - { - res = least_common_type.get()->getDefault(); - return; - } - - ind -= num_of_defaults_in_prefix; - for (const auto & part : data) - { - if (ind < part->size()) - { - part->get(ind, res); - res = convertFieldToTypeOrThrow(res, *least_common_type.get()); - return; - } - - ind -= part->size(); - } - - throw Exception(ErrorCodes::ARGUMENT_OUT_OF_BOUND, "Index ({}) for getting field is out of range", n); -} - -void ColumnObject::Subcolumn::checkTypes() const -{ - DataTypes prefix_types; - prefix_types.reserve(data.size()); - for (size_t i = 0; i < data.size(); ++i) - { - auto current_type = getDataTypeByColumn(*data[i]); - prefix_types.push_back(current_type); - auto prefix_common_type = getLeastSupertype(prefix_types); - if (!prefix_common_type->equals(*current_type)) - throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, - "Data type {} of column at position {} cannot represent all columns from i-th prefix", - current_type->getName(), i); + dynamic_paths[path] = std::move(column); + dynamic_paths_ptrs[path] = assert_cast(dynamic_paths[path].get()); } } -void ColumnObject::Subcolumn::insert(Field field) +ColumnObject::ColumnObject( + std::unordered_map typed_paths_, size_t max_dynamic_paths_, size_t max_dynamic_types_) + : max_dynamic_paths(max_dynamic_paths_), global_max_dynamic_paths(max_dynamic_paths_), max_dynamic_types(max_dynamic_types_) { - auto info = DB::getFieldInfo(field); - insert(std::move(field), std::move(info)); -} - -void ColumnObject::Subcolumn::addNewColumnPart(DataTypePtr type) -{ - auto serialization = type->getSerialization(ISerialization::Kind::SPARSE); - data.push_back(type->createColumn(*serialization)); - least_common_type = LeastCommonType{std::move(type)}; -} - -static bool isConversionRequiredBetweenIntegers(const IDataType & lhs, const IDataType & rhs) -{ - /// If both of types are signed/unsigned integers and size of left field type - /// is less than right type, we don't need to convert field, - /// because all integer fields are stored in Int64/UInt64. - - WhichDataType which_lhs(lhs); - WhichDataType which_rhs(rhs); - - bool is_native_int = which_lhs.isNativeInt() && which_rhs.isNativeInt(); - bool is_native_uint = which_lhs.isNativeUInt() && which_rhs.isNativeUInt(); - - return (!is_native_int && !is_native_uint) - || lhs.getSizeOfValueInMemory() > rhs.getSizeOfValueInMemory(); -} - -void ColumnObject::Subcolumn::insert(Field field, FieldInfo info) -{ - auto base_type = std::move(info.scalar_type); - - if (isNothing(base_type) && info.num_dimensions == 0) + typed_paths.reserve(typed_paths_.size()); + for (auto & [path, column] : typed_paths_) { - insertDefault(); - return; + if (!column->empty()) + throw Exception(ErrorCodes::LOGICAL_ERROR, "Unexpected non-empty typed path column in ColumnObject constructor"); + typed_paths[path] = std::move(column); } - auto column_dim = least_common_type.getNumberOfDimensions(); - auto value_dim = info.num_dimensions; - - if (isNothing(least_common_type.get())) - column_dim = value_dim; - - if (isNothing(base_type)) - value_dim = column_dim; - - if (value_dim != column_dim) - throw Exception(ErrorCodes::NUMBER_OF_DIMENSIONS_MISMATCHED, - "Dimension of types mismatched between inserted value and column. " - "Dimension of value: {}. Dimension of column: {}", - value_dim, column_dim); - - if (is_nullable) - base_type = makeNullable(base_type); - - if (!is_nullable && info.have_nulls) - field = applyVisitor(FieldVisitorReplaceNull(base_type->getDefault(), value_dim), std::move(field)); - - bool type_changed = false; - const auto & least_common_base_type = least_common_type.getBase(); - - if (data.empty()) - { - addNewColumnPart(createArrayOfType(std::move(base_type), value_dim)); - } - else if (!least_common_base_type->equals(*base_type) && !isNothing(base_type)) - { - if (isConversionRequiredBetweenIntegers(*base_type, *least_common_base_type)) - { - base_type = getLeastSupertypeOrString(DataTypes{std::move(base_type), least_common_base_type}); - type_changed = true; - if (!least_common_base_type->equals(*base_type)) - addNewColumnPart(createArrayOfType(std::move(base_type), value_dim)); - } - } - - if (type_changed || info.need_convert) - field = convertFieldToTypeOrThrow(field, *least_common_type.get()); - - if (!data.back()->tryInsert(field)) - { - /** Normalization of the field above is pretty complicated (it uses several FieldVisitors), - * so in the case of a bug, we may get mismatched types. - * The `IColumn::insert` method does not check the type of the inserted field, and it can lead to a segmentation fault. - * Therefore, we use the safer `tryInsert` method to get an exception instead of a segmentation fault. - */ - throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, - "Cannot insert field {} to column {}", - field.dump(), data.back()->dumpStructure()); - } - - ++num_rows; + MutableColumns paths_and_values; + paths_and_values.emplace_back(ColumnString::create()); + paths_and_values.emplace_back(ColumnString::create()); + shared_data = ColumnArray::create(ColumnTuple::create(std::move(paths_and_values))); } -void ColumnObject::Subcolumn::insertRangeFrom(const Subcolumn & src, size_t start, size_t length) +ColumnObject::Ptr ColumnObject::create( + const std::unordered_map & typed_paths_, + const std::unordered_map & dynamic_paths_, + const ColumnPtr & shared_data_, + size_t max_dynamic_paths_, + size_t global_max_dynamic_paths_, + size_t max_dynamic_types_, + const ColumnObject::StatisticsPtr & statistics_) { - assert(start + length <= src.size()); - size_t end = start + length; - num_rows += length; + std::unordered_map mutable_typed_paths; + mutable_typed_paths.reserve(typed_paths_.size()); + for (const auto & [path, column] : typed_paths_) + mutable_typed_paths[path] = typed_paths_.at(path)->assumeMutable(); - if (data.empty()) - { - addNewColumnPart(src.getLeastCommonType()); - } - else if (!least_common_type.get()->equals(*src.getLeastCommonType())) - { - auto new_least_common_type = getLeastSupertypeOrString(DataTypes{least_common_type.get(), src.getLeastCommonType()}); - if (!new_least_common_type->equals(*least_common_type.get())) - addNewColumnPart(std::move(new_least_common_type)); - } + std::unordered_map mutable_dynamic_paths; + mutable_dynamic_paths.reserve(dynamic_paths_.size()); + for (const auto & [path, column] : dynamic_paths_) + mutable_dynamic_paths[path] = dynamic_paths_.at(path)->assumeMutable(); - if (end <= src.num_of_defaults_in_prefix) - { - data.back()->insertManyDefaults(length); - return; - } - - if (start < src.num_of_defaults_in_prefix) - data.back()->insertManyDefaults(src.num_of_defaults_in_prefix - start); - - auto insert_from_part = [&](const auto & column, size_t from, size_t n) - { - assert(from + n <= column->size()); - auto column_type = getDataTypeByColumn(*column); - - if (column_type->equals(*least_common_type.get())) - { - data.back()->insertRangeFrom(*column, from, n); - return; - } - - /// If we need to insert large range, there is no sense to cut part of column and cast it. - /// Casting of all column and inserting from it can be faster. - /// Threshold is just a guess. - - if (n * 3 >= column->size()) - { - auto casted_column = castColumn({column, column_type, ""}, least_common_type.get()); - data.back()->insertRangeFrom(*casted_column, from, n); - return; - } - - auto casted_column = column->cut(from, n); - casted_column = castColumn({casted_column, column_type, ""}, least_common_type.get()); - data.back()->insertRangeFrom(*casted_column, 0, n); - }; - - size_t pos = 0; - size_t processed_rows = src.num_of_defaults_in_prefix; - - /// Find the first part of the column that intersects the range. - while (pos < src.data.size() && processed_rows + src.data[pos]->size() < start) - { - processed_rows += src.data[pos]->size(); - ++pos; - } - - /// Insert from the first part of column. - if (pos < src.data.size() && processed_rows < start) - { - size_t part_start = start - processed_rows; - size_t part_length = std::min(src.data[pos]->size() - part_start, end - start); - insert_from_part(src.data[pos], part_start, part_length); - processed_rows += src.data[pos]->size(); - ++pos; - } - - /// Insert from the parts of column in the middle of range. - while (pos < src.data.size() && processed_rows + src.data[pos]->size() < end) - { - insert_from_part(src.data[pos], 0, src.data[pos]->size()); - processed_rows += src.data[pos]->size(); - ++pos; - } - - /// Insert from the last part of column if needed. - if (pos < src.data.size() && processed_rows < end) - { - size_t part_end = end - processed_rows; - insert_from_part(src.data[pos], 0, part_end); - } + return ColumnObject::create( + std::move(mutable_typed_paths), + std::move(mutable_dynamic_paths), + shared_data_->assumeMutable(), + max_dynamic_paths_, + global_max_dynamic_paths_, + max_dynamic_types_, + statistics_); } -bool ColumnObject::Subcolumn::isFinalized() const +ColumnObject::MutablePtr ColumnObject::create( + std::unordered_map typed_paths_, + std::unordered_map dynamic_paths_, + MutableColumnPtr shared_data_, + size_t max_dynamic_paths_, + size_t global_max_dynamic_paths_, + size_t max_dynamic_types_, + const ColumnObject::StatisticsPtr & statistics_) { - return num_of_defaults_in_prefix == 0 && - (data.empty() || (data.size() == 1 && !data[0]->isSparse())); + return Base::create(std::move(typed_paths_), std::move(dynamic_paths_), std::move(shared_data_), max_dynamic_paths_, global_max_dynamic_paths_, max_dynamic_types_, statistics_); } -void ColumnObject::Subcolumn::finalize() +ColumnObject::MutablePtr ColumnObject::create(std::unordered_map typed_paths_, size_t max_dynamic_paths_, size_t max_dynamic_types_) { - if (isFinalized()) - return; - - if (data.size() == 1 && num_of_defaults_in_prefix == 0) - { - data[0] = data[0]->convertToFullColumnIfSparse(); - return; - } - - const auto & to_type = least_common_type.get(); - auto result_column = to_type->createColumn(); - - if (num_of_defaults_in_prefix) - result_column->insertManyDefaults(num_of_defaults_in_prefix); - - for (auto & part : data) - { - part = part->convertToFullColumnIfSparse(); - auto from_type = getDataTypeByColumn(*part); - size_t part_size = part->size(); - - if (!from_type->equals(*to_type)) - { - auto offsets = ColumnUInt64::create(); - auto & offsets_data = offsets->getData(); - - /// We need to convert only non-default values and then recreate column - /// with default value of new type, because default values (which represents misses in data) - /// may be inconsistent between types (e.g "0" in UInt64 and empty string in String). - - part->getIndicesOfNonDefaultRows(offsets_data, 0, part_size); - - if (offsets->size() == part_size) - { - part = castColumn({part, from_type, ""}, to_type); - } - else - { - auto values = part->index(*offsets, offsets->size()); - values = castColumn({values, from_type, ""}, to_type); - part = values->createWithOffsets(offsets_data, *createColumnConstWithDefaultValue(result_column->getPtr()), part_size, /*shift=*/ 0); - } - } - - result_column->insertRangeFrom(*part, 0, part_size); - } - - data = { std::move(result_column) }; - num_of_defaults_in_prefix = 0; + return Base::create(std::move(typed_paths_), max_dynamic_paths_, max_dynamic_types_); } -void ColumnObject::Subcolumn::insertDefault() +std::string ColumnObject::getName() const { - if (data.empty()) - ++num_of_defaults_in_prefix; - else - data.back()->insertDefault(); - - ++num_rows; + WriteBufferFromOwnString ss; + ss << "Object("; + ss << "max_dynamic_paths=" << max_dynamic_paths; + ss << ", max_dynamic_types=" << max_dynamic_types; + std::vector sorted_typed_paths; + sorted_typed_paths.reserve(typed_paths.size()); + for (const auto & [path, column] : typed_paths) + sorted_typed_paths.push_back(path); + std::sort(sorted_typed_paths.begin(), sorted_typed_paths.end()); + for (const auto & path : sorted_typed_paths) + ss << ", " << path << " " << typed_paths.at(path)->getName(); + ss << ")"; + return ss.str(); } -void ColumnObject::Subcolumn::insertManyDefaults(size_t length) +MutableColumnPtr ColumnObject::cloneEmpty() const { - if (data.empty()) - num_of_defaults_in_prefix += length; - else - data.back()->insertManyDefaults(length); + std::unordered_map empty_typed_paths; + empty_typed_paths.reserve(typed_paths.size()); + for (const auto & [path, column] : typed_paths) + empty_typed_paths[path] = column->cloneEmpty(); - num_rows += length; + std::unordered_map empty_dynamic_paths; + empty_dynamic_paths.reserve(dynamic_paths.size()); + for (const auto & [path, column] : dynamic_paths) + empty_dynamic_paths[path] = column->cloneEmpty(); + + return ColumnObject::create( + std::move(empty_typed_paths), + std::move(empty_dynamic_paths), + shared_data->cloneEmpty(), + max_dynamic_paths, + global_max_dynamic_paths, + max_dynamic_types, + statistics); } -void ColumnObject::Subcolumn::popBack(size_t n) +MutableColumnPtr ColumnObject::cloneResized(size_t size) const { - assert(n <= size()); + std::unordered_map resized_typed_paths; + resized_typed_paths.reserve(typed_paths.size()); + for (const auto & [path, column] : typed_paths) + resized_typed_paths[path] = column->cloneResized(size); - num_rows -= n; - size_t num_removed = 0; - for (auto it = data.rbegin(); it != data.rend(); ++it) - { - if (n == 0) - break; + std::unordered_map resized_dynamic_paths; + resized_dynamic_paths.reserve(dynamic_paths.size()); + for (const auto & [path, column] : dynamic_paths) + resized_dynamic_paths[path] = column->cloneResized(size); - auto & column = *it; - if (n < column->size()) - { - column->popBack(n); - n = 0; - } - else - { - ++num_removed; - n -= column->size(); - } - } - - data.resize(data.size() - num_removed); - num_of_defaults_in_prefix -= n; -} - -ColumnObject::Subcolumn ColumnObject::Subcolumn::cut(size_t start, size_t length) const -{ - Subcolumn new_subcolumn(0, is_nullable); - new_subcolumn.insertRangeFrom(*this, start, length); - return new_subcolumn; -} - -Field ColumnObject::Subcolumn::getLastField() const -{ - if (data.empty()) - return Field(); - - const auto & last_part = data.back(); - assert(!last_part->empty()); - return (*last_part)[last_part->size() - 1]; -} - -FieldInfo ColumnObject::Subcolumn::getFieldInfo() const -{ - const auto & base_type = least_common_type.getBase(); - return FieldInfo - { - .scalar_type = base_type, - .have_nulls = base_type->isNullable(), - .need_convert = false, - .num_dimensions = least_common_type.getNumberOfDimensions(), - .need_fold_dimension = false, - }; -} - -ColumnObject::Subcolumn ColumnObject::Subcolumn::recreateWithDefaultValues(const FieldInfo & field_info) const -{ - auto scalar_type = field_info.scalar_type; - if (is_nullable) - scalar_type = makeNullable(scalar_type); - - Subcolumn new_subcolumn(*this); - new_subcolumn.least_common_type = LeastCommonType{createArrayOfType(scalar_type, field_info.num_dimensions)}; - - for (auto & part : new_subcolumn.data) - part = recreateColumnWithDefaultValues(part, scalar_type, field_info.num_dimensions); - - return new_subcolumn; -} - -IColumn & ColumnObject::Subcolumn::getFinalizedColumn() -{ - assert(isFinalized()); - return *data[0]; -} - -const IColumn & ColumnObject::Subcolumn::getFinalizedColumn() const -{ - assert(isFinalized()); - return *data[0]; -} - -const ColumnPtr & ColumnObject::Subcolumn::getFinalizedColumnPtr() const -{ - assert(isFinalized()); - return data[0]; -} - -ColumnObject::Subcolumn::LeastCommonType::LeastCommonType() - : type(std::make_shared()) - , base_type(type) - , num_dimensions(0) -{ -} - -ColumnObject::Subcolumn::LeastCommonType::LeastCommonType(DataTypePtr type_) - : type(std::move(type_)) - , base_type(getBaseTypeOfArray(type)) - , num_dimensions(DB::getNumberOfDimensions(*type)) -{ -} - -ColumnObject::ColumnObject(bool is_nullable_) - : is_nullable(is_nullable_) - , num_rows(0) -{ -} - -ColumnObject::ColumnObject(Subcolumns && subcolumns_, bool is_nullable_) - : is_nullable(is_nullable_) - , subcolumns(std::move(subcolumns_)) - , num_rows(subcolumns.empty() ? 0 : (*subcolumns.begin())->data.size()) - -{ - checkConsistency(); -} - -void ColumnObject::checkConsistency() const -{ - if (subcolumns.empty()) - return; - - for (const auto & leaf : subcolumns) - { - if (num_rows != leaf->data.size()) - { - throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, "Sizes of subcolumns are inconsistent in ColumnObject." - " Subcolumn '{}' has {} rows, but expected size is {}", - leaf->path.getPath(), leaf->data.size(), num_rows); - } - } -} - -size_t ColumnObject::size() const -{ -#ifndef NDEBUG - checkConsistency(); -#endif - return num_rows; -} - -size_t ColumnObject::byteSize() const -{ - size_t res = 0; - for (const auto & entry : subcolumns) - res += entry->data.byteSize(); - return res; -} - -size_t ColumnObject::allocatedBytes() const -{ - size_t res = 0; - for (const auto & entry : subcolumns) - res += entry->data.allocatedBytes(); - return res; -} - -void ColumnObject::forEachSubcolumn(MutableColumnCallback callback) -{ - for (auto & entry : subcolumns) - for (auto & part : entry->data.data) - callback(part); -} - -void ColumnObject::forEachSubcolumnRecursively(RecursiveMutableColumnCallback callback) -{ - for (auto & entry : subcolumns) - { - for (auto & part : entry->data.data) - { - callback(*part); - part->forEachSubcolumnRecursively(callback); - } - } -} - -void ColumnObject::insert(const Field & field) -{ - const auto & object = field.safeGet(); - - HashSet inserted_paths; - size_t old_size = size(); - for (const auto & [key_str, value] : object) - { - PathInData key(key_str); - inserted_paths.insert(key_str); - if (!hasSubcolumn(key)) - addSubcolumn(key, old_size); - - auto & subcolumn = getSubcolumn(key); - subcolumn.insert(value); - } - - for (auto & entry : subcolumns) - { - if (!inserted_paths.has(entry->path.getPath())) - { - bool inserted = tryInsertDefaultFromNested(entry); - if (!inserted) - entry->data.insertDefault(); - } - } - - ++num_rows; -} - -bool ColumnObject::tryInsert(const Field & field) -{ - if (field.getType() != Field::Types::Which::Object) - return false; - - insert(field); - return true; -} - -void ColumnObject::insertDefault() -{ - for (auto & entry : subcolumns) - entry->data.insertDefault(); - - ++num_rows; + return ColumnObject::create( + std::move(resized_typed_paths), + std::move(resized_dynamic_paths), + shared_data->cloneResized(size), + max_dynamic_paths, + global_max_dynamic_paths, + max_dynamic_types, + statistics); } Field ColumnObject::operator[](size_t n) const { - Field object; - get(n, object); + Object object; + + for (const auto & [path, column] : typed_paths) + object[path] = (*column)[n]; + for (const auto & [path, column] : dynamic_paths_ptrs) + { + /// Output only non-null values from dynamic paths. We cannot distinguish cases when + /// dynamic path has Null value and when it's absent in the row and consider them equivalent. + if (!column->isNullAt(n)) + object[path] = (*column)[n]; + } + + const auto & shared_data_offsets = getSharedDataOffsets(); + const auto [shared_paths, shared_values] = getSharedDataPathsAndValues(); + size_t start = shared_data_offsets[static_cast(n) - 1]; + size_t end = shared_data_offsets[n]; + for (size_t i = start; i != end; ++i) + { + String path = shared_paths->getDataAt(i).toString(); + auto value_data = shared_values->getDataAt(i); + ReadBufferFromMemory buf(value_data.data, value_data.size); + Field value; + getDynamicSerialization()->deserializeBinary(value, buf, getFormatSettings()); + object[path] = value; + } + return object; } void ColumnObject::get(size_t n, Field & res) const { - assert(n < size()); - res = Object(); - auto & object = res.safeGet(); + res = (*this)[n]; +} - for (const auto & entry : subcolumns) +bool ColumnObject::isDefaultAt(size_t n) const +{ + for (const auto & [path, column] : typed_paths) { - auto it = object.try_emplace(entry->path.getPath()).first; - entry->data.get(n, it->second); + if (!column->isDefaultAt(n)) + return false; } + + for (const auto & [path, column] : dynamic_paths_ptrs) + { + if (!column->isDefaultAt(n)) + return false; + } + + if (!shared_data->isDefaultAt(n)) + return false; + + return true; +} + +StringRef ColumnObject::getDataAt(size_t) const +{ + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Method getDataAt is not supported for {}", getName()); +} + +void ColumnObject::insertData(const char *, size_t) +{ + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Method insertData is not supported for {}", getName()); +} + +ColumnDynamic * ColumnObject::tryToAddNewDynamicPath(std::string_view path) +{ + if (dynamic_paths.size() == max_dynamic_paths) + return nullptr; + + auto new_dynamic_column = ColumnDynamic::create(max_dynamic_types); + new_dynamic_column->reserve(shared_data->capacity()); + new_dynamic_column->insertManyDefaults(size()); + auto it = dynamic_paths.emplace(path, std::move(new_dynamic_column)).first; + auto it_ptr = dynamic_paths_ptrs.emplace(path, assert_cast(it->second.get())).first; + return it_ptr->second; +} + +void ColumnObject::addNewDynamicPath(std::string_view path) +{ + if (!tryToAddNewDynamicPath(path)) + throw Exception(ErrorCodes::LOGICAL_ERROR, "Cannot add new dynamic path as the limit ({}) on dynamic paths is reached", max_dynamic_paths); +} + +void ColumnObject::setMaxDynamicPaths(size_t max_dynamic_paths_) +{ + if (!empty()) + throw Exception(ErrorCodes::LOGICAL_ERROR, "Setting specific max_dynamic_paths parameter is allowed only for empty object column"); + + max_dynamic_paths = max_dynamic_paths_; +} + +void ColumnObject::setDynamicPaths(const std::vector & paths) +{ + if (paths.size() > max_dynamic_paths) + throw Exception(ErrorCodes::LOGICAL_ERROR, "Cannot set dynamic paths to Object column, the number of paths ({}) exceeds the limit ({})", paths.size(), max_dynamic_paths); + + size_t size = this->size(); + for (const auto & path : paths) + { + auto new_dynamic_column = ColumnDynamic::create(max_dynamic_types); + if (size) + new_dynamic_column->insertManyDefaults(size); + dynamic_paths[path] = std::move(new_dynamic_column); + dynamic_paths_ptrs[path] = assert_cast(dynamic_paths[path].get()); + } +} + +void ColumnObject::insert(const Field & x) +{ + const auto & object = x.safeGet(); + auto & shared_data_offsets = getSharedDataOffsets(); + auto [shared_data_paths, shared_data_values] = getSharedDataPathsAndValues(); + size_t current_size = size(); + for (const auto & [path, value_field] : object) + { + if (auto typed_it = typed_paths.find(path); typed_it != typed_paths.end()) + { + typed_it->second->insert(value_field); + } + else if (auto dynamic_it = dynamic_paths_ptrs.find(path); dynamic_it != dynamic_paths_ptrs.end()) + { + dynamic_it->second->insert(value_field); + } + else if (auto * dynamic_path_column = tryToAddNewDynamicPath(path)) + { + dynamic_path_column->insert(value_field); + } + /// We reached the limit on dynamic paths. Add this path to the common data if the value is not Null. + /// (we cannot distinguish cases when path has Null value or is absent in the row and consider them equivalent). + /// Object is actually std::map, so all paths are already sorted and we can add it right now. + else if (!value_field.isNull()) + { + shared_data_paths->insertData(path.data(), path.size()); + auto & shared_data_values_chars = shared_data_values->getChars(); + WriteBufferFromVector value_buf(shared_data_values_chars, AppendModeTag()); + getDynamicSerialization()->serializeBinary(value_field, value_buf, getFormatSettings()); + value_buf.finalize(); + shared_data_values_chars.push_back(0); + shared_data_values->getOffsets().push_back(shared_data_values_chars.size()); + } + } + + shared_data_offsets.push_back(shared_data_paths->size()); + + /// Fill all remaining typed and dynamic paths with default values. + for (auto & [_, column] : typed_paths) + { + if (column->size() == current_size) + column->insertDefault(); + } + + for (auto & [_, column] : dynamic_paths_ptrs) + { + if (column->size() == current_size) + column->insertDefault(); + } +} + +bool ColumnObject::tryInsert(const Field & x) +{ + if (x.getType() != Field::Types::Which::Object) + return false; + + const auto & object = x.safeGet(); + auto & shared_data_offsets = getSharedDataOffsets(); + auto [shared_data_paths, shared_data_values] = getSharedDataPathsAndValues(); + size_t prev_size = size(); + size_t prev_paths_size = shared_data_paths->size(); + size_t prev_values_size = shared_data_values->size(); + /// Save all newly added dynamic paths. In case of failure + /// we should remove them. + std::unordered_set new_dynamic_paths; + auto restore_sizes = [&]() + { + for (auto & [_, column] : typed_paths) + { + if (column->size() != prev_size) + column->popBack(column->size() - prev_size); + } + + /// Remove all newly added dynamic paths. + for (const auto & path : new_dynamic_paths) + { + dynamic_paths_ptrs.erase(path); + dynamic_paths.erase(path); + } + + for (auto & [_, column] : dynamic_paths_ptrs) + { + if (column->size() != prev_size) + column->popBack(column->size() - prev_size); + } + + if (shared_data_paths->size() != prev_paths_size) + shared_data_paths->popBack(shared_data_paths->size() - prev_paths_size); + if (shared_data_values->size() != prev_values_size) + shared_data_values->popBack(shared_data_values->size() - prev_values_size); + }; + + for (const auto & [path, value_field] : object) + { + if (auto typed_it = typed_paths.find(path); typed_it != typed_paths.end()) + { + if (!typed_it->second->tryInsert(value_field)) + { + restore_sizes(); + return false; + } + } + else if (auto dynamic_it = dynamic_paths_ptrs.find(path); dynamic_it != dynamic_paths_ptrs.end()) + { + if (!dynamic_it->second->tryInsert(value_field)) + { + restore_sizes(); + return false; + } + } + else if (auto * dynamic_path_column = tryToAddNewDynamicPath(path)) + { + if (!dynamic_path_column->tryInsert(value_field)) + { + restore_sizes(); + return false; + } + } + /// We reached the limit on dynamic paths. Add this path to the common data if the value is not Null. + /// (we cannot distinguish cases when path has Null value or is absent in the row and consider them equivalent). + /// Object is actually std::map, so all paths are already sorted and we can add it right now. + else if (!value_field.isNull()) + { + WriteBufferFromOwnString value_buf; + getDynamicSerialization()->serializeBinary(value_field, value_buf, getFormatSettings()); + shared_data_paths->insertData(path.data(), path.size()); + shared_data_values->insertData(value_buf.str().data(), value_buf.str().size()); + } + } + + shared_data_offsets.push_back(shared_data_paths->size()); + + /// Fill all remaining typed and dynamic paths with default values. + for (auto & [_, column] : typed_paths) + { + if (column->size() == prev_size) + column->insertDefault(); + } + + for (auto & [_, column] : dynamic_paths_ptrs) + { + if (column->size() == prev_size) + column->insertDefault(); + } + + return true; } #if !defined(DEBUG_OR_SANITIZER_BUILD) @@ -769,7 +447,31 @@ void ColumnObject::insertFrom(const IColumn & src, size_t n) void ColumnObject::doInsertFrom(const IColumn & src, size_t n) #endif { - insert(src[n]); + const auto & src_object_column = assert_cast(src); + + /// First, insert typed paths, they must be the same for both columns. + for (const auto & [path, column] : src_object_column.typed_paths) + typed_paths[path]->insertFrom(*column, n); + + /// Second, insert dynamic paths and extend them if needed. + /// We can reach the limit of dynamic paths, and in this case + /// the rest of dynamic paths will be inserted into shared data. + std::vector src_dynamic_paths_for_shared_data; + for (const auto & [path, column] : src_object_column.dynamic_paths) + { + /// Check if we already have such dynamic path. + if (auto it = dynamic_paths_ptrs.find(path); it != dynamic_paths_ptrs.end()) + it->second->insertFrom(*column, n); + /// Try to add a new dynamic path. + else if (auto * dynamic_path_column = tryToAddNewDynamicPath(path)) + dynamic_path_column->insertFrom(*column, n); + /// Limit on dynamic paths is reached, add path to shared data later. + else + src_dynamic_paths_for_shared_data.push_back(path); + } + + /// Finally, insert paths from shared data. + insertFromSharedDataAndFillRemainingDynamicPaths(src_object_column, std::move(src_dynamic_paths_for_shared_data), n, 1); } #if !defined(DEBUG_OR_SANITIZER_BUILD) @@ -778,101 +480,659 @@ void ColumnObject::insertRangeFrom(const IColumn & src, size_t start, size_t len void ColumnObject::doInsertRangeFrom(const IColumn & src, size_t start, size_t length) #endif { - const auto & src_object = assert_cast(src); + /// TODO: try to parallelize doInsertRangeFrom over typed/dynamic paths if it makes sense. + const auto & src_object_column = assert_cast(src); - for (const auto & entry : src_object.subcolumns) + /// First, insert typed paths, they must be the same for both columns. + for (const auto & [path, column] : src_object_column.typed_paths) + typed_paths[path]->insertRangeFrom(*column, start, length); + + /// Second, insert dynamic paths and extend them if needed. + /// We can reach the limit of dynamic paths, and in this case + /// the rest of dynamic paths will be inserted into shared data. + std::vector src_dynamic_paths_for_shared_data; + for (const auto & [path, column] : src_object_column.dynamic_paths) { - if (!hasSubcolumn(entry->path)) + /// Check if we already have such dynamic path. + if (auto it = dynamic_paths_ptrs.find(path); it != dynamic_paths_ptrs.end()) + it->second->insertRangeFrom(*column, start, length); + /// Try to add a new dynamic path. + else if (auto * dynamic_path_column = tryToAddNewDynamicPath(path)) + dynamic_path_column->insertRangeFrom(*column, start, length); + /// Limit on dynamic paths is reached, add path to shared data later. + else + src_dynamic_paths_for_shared_data.push_back(path); + } + + /// Finally, insert paths from shared data. + insertFromSharedDataAndFillRemainingDynamicPaths(src_object_column, std::move(src_dynamic_paths_for_shared_data), start, length); +} + +void ColumnObject::insertFromSharedDataAndFillRemainingDynamicPaths(const DB::ColumnObject & src_object_column, std::vector && src_dynamic_paths_for_shared_data, size_t start, size_t length) +{ + /// Paths in shared data are sorted, so paths from src_dynamic_paths_for_shared_data should be inserted properly + /// to keep paths sorted. Let's sort them in advance. + std::sort(src_dynamic_paths_for_shared_data.begin(), src_dynamic_paths_for_shared_data.end()); + + /// Check if src object doesn't have any paths in shared data in specified range. + const auto & src_shared_data_offsets = src_object_column.getSharedDataOffsets(); + if (src_shared_data_offsets[static_cast(start) - 1] == src_shared_data_offsets[static_cast(start) + length - 1]) + { + size_t current_size = size(); + + /// If no src dynamic columns should be inserted into shared data, insert defaults. + if (src_dynamic_paths_for_shared_data.empty()) { - if (entry->path.hasNested()) - addNestedSubcolumn(entry->path, entry->data.getFieldInfo(), num_rows); + shared_data->insertManyDefaults(length); + } + /// Otherwise insert required src dynamic columns into shared data. + else + { + const auto [shared_data_paths, shared_data_values] = getSharedDataPathsAndValues(); + auto & shared_data_offsets = getSharedDataOffsets(); + for (size_t i = start; i != start + length; ++i) + { + /// Paths in src_dynamic_paths_for_shared_data are already sorted. + for (const auto path : src_dynamic_paths_for_shared_data) + serializePathAndValueIntoSharedData(shared_data_paths, shared_data_values, path, *src_object_column.dynamic_paths.find(path)->second, i); + shared_data_offsets.push_back(shared_data_paths->size()); + } + } + + /// Insert default values in all remaining dynamic paths. + for (auto & [_, column] : dynamic_paths_ptrs) + { + if (column->size() == current_size) + column->insertManyDefaults(length); + } + return; + } + + /// Src object column contains some paths in shared data in specified range. + /// Iterate over this range and insert all required paths into shared data or dynamic paths. + const auto [src_shared_data_paths, src_shared_data_values] = src_object_column.getSharedDataPathsAndValues(); + const auto [shared_data_paths, shared_data_values] = getSharedDataPathsAndValues(); + auto & shared_data_offsets = getSharedDataOffsets(); + for (size_t row = start; row != start + length; ++row) + { + size_t current_size = shared_data_offsets.size(); + /// Use separate index to iterate over sorted src_dynamic_paths_for_shared_data. + size_t src_dynamic_paths_for_shared_data_index = 0; + size_t offset = src_shared_data_offsets[static_cast(row) - 1]; + size_t end = src_shared_data_offsets[row]; + for (size_t i = offset; i != end; ++i) + { + auto path = src_shared_data_paths->getDataAt(i).toView(); + /// Check if we have this path in dynamic paths. + if (auto it = dynamic_paths_ptrs.find(path); it != dynamic_paths_ptrs.end()) + { + /// Deserialize binary value into dynamic column from shared data. + deserializeValueFromSharedData(src_shared_data_values, i, *it->second); + } else - addSubcolumn(entry->path, num_rows); + { + /// Before inserting this path into shared data check if we need to + /// insert dynamic paths from src_dynamic_paths_for_shared_data before. + while (src_dynamic_paths_for_shared_data_index < src_dynamic_paths_for_shared_data.size() + && src_dynamic_paths_for_shared_data[src_dynamic_paths_for_shared_data_index] < path) + { + const auto dynamic_path = src_dynamic_paths_for_shared_data[src_dynamic_paths_for_shared_data_index]; + serializePathAndValueIntoSharedData(shared_data_paths, shared_data_values, dynamic_path, *src_object_column.dynamic_paths.find(dynamic_path)->second, row); + ++src_dynamic_paths_for_shared_data_index; + } + + /// Insert path and value from src shared data to our shared data. + shared_data_paths->insertFrom(*src_shared_data_paths, i); + shared_data_values->insertFrom(*src_shared_data_values, i); + } } - auto & subcolumn = getSubcolumn(entry->path); - subcolumn.insertRangeFrom(entry->data, start, length); - } - - for (auto & entry : subcolumns) - { - if (!src_object.hasSubcolumn(entry->path)) + /// Insert remaining dynamic paths from src_dynamic_paths_for_shared_data. + for (; src_dynamic_paths_for_shared_data_index != src_dynamic_paths_for_shared_data.size(); ++src_dynamic_paths_for_shared_data_index) { - bool inserted = tryInsertManyDefaultsFromNested(entry); - if (!inserted) - entry->data.insertManyDefaults(length); + const auto dynamic_path = src_dynamic_paths_for_shared_data[src_dynamic_paths_for_shared_data_index]; + serializePathAndValueIntoSharedData(shared_data_paths, shared_data_values, dynamic_path, *src_object_column.dynamic_paths.find(dynamic_path)->second, row); + } + + shared_data_offsets.push_back(shared_data_paths->size()); + + /// Insert default value in all remaining dynamic paths. + for (auto & [_, column] : dynamic_paths_ptrs) + { + if (column->size() == current_size) + column->insertDefault(); } } - - num_rows += length; - finalize(); } -void ColumnObject::popBack(size_t length) +void ColumnObject::serializePathAndValueIntoSharedData(ColumnString * shared_data_paths, ColumnString * shared_data_values, std::string_view path, const IColumn & column, size_t n) { - for (auto & entry : subcolumns) - entry->data.popBack(length); + /// Don't store Null values in shared data. We consider Null value equivalent to the absence + /// of this path in the row because we cannot distinguish these 2 cases for dynamic paths. + if (column.isNullAt(n)) + return; - num_rows -= length; + shared_data_paths->insertData(path.data(), path.size()); + auto & shared_data_values_chars = shared_data_values->getChars(); + WriteBufferFromVector value_buf(shared_data_values_chars, AppendModeTag()); + getDynamicSerialization()->serializeBinary(column, n, value_buf, getFormatSettings()); + value_buf.finalize(); + shared_data_values_chars.push_back(0); + shared_data_values->getOffsets().push_back(shared_data_values_chars.size()); } -template -MutableColumnPtr ColumnObject::applyForSubcolumns(Func && func) const +void ColumnObject::deserializeValueFromSharedData(const ColumnString * shared_data_values, size_t n, IColumn & column) const { - if (!isFinalized()) + auto value_data = shared_data_values->getDataAt(n); + ReadBufferFromMemory buf(value_data.data, value_data.size); + getDynamicSerialization()->deserializeBinary(column, buf, getFormatSettings()); +} + +void ColumnObject::insertDefault() +{ + for (auto & [_, column] : typed_paths) + column->insertDefault(); + for (auto & [_, column] : dynamic_paths_ptrs) + column->insertDefault(); + shared_data->insertDefault(); +} + +void ColumnObject::insertManyDefaults(size_t length) +{ + for (auto & [_, column] : typed_paths) + column->insertManyDefaults(length); + for (auto & [_, column] : dynamic_paths_ptrs) + column->insertManyDefaults(length); + shared_data->insertManyDefaults(length); +} + +void ColumnObject::popBack(size_t n) +{ + for (auto & [_, column] : typed_paths) + column->popBack(n); + for (auto & [_, column] : dynamic_paths_ptrs) + column->popBack(n); + shared_data->popBack(n); +} + +StringRef ColumnObject::serializeValueIntoArena(size_t n, Arena & arena, const char *& begin) const +{ + StringRef res(begin, 0); + // Serialize all paths and values in binary format. + const auto & shared_data_offsets = getSharedDataOffsets(); + size_t offset = shared_data_offsets[static_cast(n) - 1]; + size_t end = shared_data_offsets[static_cast(n)]; + size_t num_paths = typed_paths.size() + dynamic_paths.size() + (end - offset); + char * pos = arena.allocContinue(sizeof(size_t), begin); + memcpy(pos, &num_paths, sizeof(size_t)); + res.data = pos - res.size; + res.size += sizeof(size_t); + /// Serialize paths and values from typed paths. + for (const auto & [path, column] : typed_paths) { - auto finalized = cloneFinalized(); - auto & finalized_object = assert_cast(*finalized); - return finalized_object.applyForSubcolumns(std::forward(func)); + size_t path_size = path.size(); + pos = arena.allocContinue(sizeof(size_t) + path_size, begin); + memcpy(pos, &path_size, sizeof(size_t)); + memcpy(pos + sizeof(size_t), path.data(), path_size); + auto data_ref = column->serializeValueIntoArena(n, arena, begin); + res.data = data_ref.data - res.size - sizeof(size_t) - path_size; + res.size += data_ref.size + sizeof(size_t) + path_size; } - auto res = ColumnObject::create(is_nullable); - for (const auto & subcolumn : subcolumns) + /// Serialize paths and values from dynamic paths. + for (const auto & [path, column] : dynamic_paths) { - auto new_subcolumn = func(subcolumn->data.getFinalizedColumn()); - res->addSubcolumn(subcolumn->path, new_subcolumn->assumeMutable()); + WriteBufferFromOwnString buf; + getDynamicSerialization()->serializeBinary(*column, n, buf, getFormatSettings()); + serializePathAndValueIntoArena(arena, begin, path, buf.str(), res); } + /// Serialize paths and values from shared data. + auto [shared_data_paths, shared_data_values] = getSharedDataPathsAndValues(); + for (size_t i = offset; i != end; ++i) + serializePathAndValueIntoArena(arena, begin, shared_data_paths->getDataAt(i), shared_data_values->getDataAt(i), res); + return res; } -ColumnPtr ColumnObject::permute(const Permutation & perm, size_t limit) const +void ColumnObject::serializePathAndValueIntoArena(DB::Arena & arena, const char *& begin, StringRef path, StringRef value, StringRef & res) const { - return applyForSubcolumns([&](const auto & subcolumn) { return subcolumn.permute(perm, limit); }); + size_t value_size = value.size; + size_t path_size = path.size; + char * pos = arena.allocContinue(sizeof(size_t) + path_size + sizeof(size_t) + value_size, begin); + memcpy(pos, &path_size, sizeof(size_t)); + memcpy(pos + sizeof(size_t), path.data, path_size); + memcpy(pos + sizeof(size_t) + path_size, &value_size, sizeof(size_t)); + memcpy(pos + sizeof(size_t) + path_size + sizeof(size_t), value.data, value_size); + res.data = pos - res.size; + res.size += sizeof(size_t) + path_size + sizeof(size_t) + value_size; } -ColumnPtr ColumnObject::filter(const Filter & filter, ssize_t result_size_hint) const +const char * ColumnObject::deserializeAndInsertFromArena(const char * pos) { - return applyForSubcolumns([&](const auto & subcolumn) { return subcolumn.filter(filter, result_size_hint); }); + size_t current_size = size(); + /// Deserialize paths and values and insert them into typed paths, dynamic paths or shared data. + /// Serialized paths could be unsorted, so we will have to sort all paths that will be inserted into shared data. + std::vector> paths_and_values_for_shared_data; + auto num_paths = unalignedLoad(pos); + pos += sizeof(size_t); + for (size_t i = 0; i != num_paths; ++i) + { + auto path_size = unalignedLoad(pos); + pos += sizeof(size_t); + std::string_view path(pos, path_size); + pos += path_size; + /// Check if it's a typed path. In this case we should use + /// deserializeAndInsertFromArena of corresponding column. + if (auto typed_it = typed_paths.find(path); typed_it != typed_paths.end()) + { + pos = typed_it->second->deserializeAndInsertFromArena(pos); + } + /// If it's not a typed path, deserialize binary value and try to insert it + /// to dynamic paths or shared data. + else + { + auto value_size = unalignedLoad(pos); + pos += sizeof(size_t); + std::string_view value(pos, value_size); + pos += value_size; + /// Check if we have this path in dynamic paths. + if (auto dynamic_it = dynamic_paths.find(path); dynamic_it != dynamic_paths.end()) + { + ReadBufferFromMemory buf(value.data(), value.size()); + getDynamicSerialization()->deserializeBinary(*dynamic_it->second, buf, getFormatSettings()); + } + /// Try to add a new dynamic path. + else if (auto * dynamic_path_column = tryToAddNewDynamicPath(path)) + { + ReadBufferFromMemory buf(value.data(), value.size()); + getDynamicSerialization()->deserializeBinary(*dynamic_path_column, buf, getFormatSettings()); + } + /// Limit on dynamic paths is reached, add this path to shared data later. + else + { + paths_and_values_for_shared_data.emplace_back(path, value); + } + } + } + + /// Sort and insert all paths from paths_and_values_for_shared_data into shared data. + std::sort(paths_and_values_for_shared_data.begin(), paths_and_values_for_shared_data.end()); + const auto [shared_data_paths, shared_data_values] = getSharedDataPathsAndValues(); + for (const auto & [path, value] : paths_and_values_for_shared_data) + { + shared_data_paths->insertData(path.data(), path.size()); + shared_data_values->insertData(value.data(), value.size()); + } + + getSharedDataOffsets().push_back(shared_data_paths->size()); + + /// Insert default value in all remaining typed and dynamic paths. + + for (auto & [_, column] : typed_paths) + { + if (column->size() == current_size) + column->insertDefault(); + } + + for (auto & [_, column] : dynamic_paths_ptrs) + { + if (column->size() == current_size) + column->insertDefault(); + } + + return pos; +} + +const char * ColumnObject::skipSerializedInArena(const char * pos) const +{ + auto num_paths = unalignedLoad(pos); + pos += sizeof(size_t); + for (size_t i = 0; i != num_paths; ++i) + { + auto path_size = unalignedLoad(pos); + pos += sizeof(size_t); + std::string_view path(pos, path_size); + pos += path_size; + if (auto typed_it = typed_paths.find(path); typed_it != typed_paths.end()) + { + pos = typed_it->second->skipSerializedInArena(pos); + } + else + { + auto value_size = unalignedLoad(pos); + pos += sizeof(size_t) + value_size; + } + } + + return pos; +} + +void ColumnObject::updateHashWithValue(size_t n, SipHash & hash) const +{ + for (const auto & [_, column] : typed_paths) + column->updateHashWithValue(n, hash); + for (const auto & [_, column] : dynamic_paths_ptrs) + column->updateHashWithValue(n, hash); + shared_data->updateHashWithValue(n, hash); +} + +WeakHash32 ColumnObject::getWeakHash32() const +{ + WeakHash32 hash(size()); + for (const auto & [_, column] : typed_paths) + hash.update(column->getWeakHash32()); + for (const auto & [_, column] : dynamic_paths_ptrs) + hash.update(column->getWeakHash32()); + hash.update(shared_data->getWeakHash32()); + return hash; +} + +void ColumnObject::updateHashFast(SipHash & hash) const +{ + for (const auto & [_, column] : typed_paths) + column->updateHashFast(hash); + for (const auto & [_, column] : dynamic_paths_ptrs) + column->updateHashFast(hash); + shared_data->updateHashFast(hash); +} + +ColumnPtr ColumnObject::filter(const Filter & filt, ssize_t result_size_hint) const +{ + std::unordered_map filtered_typed_paths; + filtered_typed_paths.reserve(typed_paths.size()); + for (const auto & [path, column] : typed_paths) + filtered_typed_paths[path] = column->filter(filt, result_size_hint); + + std::unordered_map filtered_dynamic_paths; + filtered_dynamic_paths.reserve(dynamic_paths_ptrs.size()); + for (const auto & [path, column] : dynamic_paths_ptrs) + filtered_dynamic_paths[path] = column->filter(filt, result_size_hint); + + auto filtered_shared_data = shared_data->filter(filt, result_size_hint); + return ColumnObject::create(filtered_typed_paths, filtered_dynamic_paths, filtered_shared_data, max_dynamic_paths, global_max_dynamic_paths, max_dynamic_types); +} + +void ColumnObject::expand(const Filter & mask, bool inverted) +{ + for (auto & [_, column] : typed_paths) + column->expand(mask, inverted); + for (auto & [_, column] : dynamic_paths_ptrs) + column->expand(mask, inverted); + shared_data->expand(mask, inverted); +} + +ColumnPtr ColumnObject::permute(const Permutation & perm, size_t limit) const +{ + std::unordered_map permuted_typed_paths; + permuted_typed_paths.reserve(typed_paths.size()); + for (const auto & [path, column] : typed_paths) + permuted_typed_paths[path] = column->permute(perm, limit); + + std::unordered_map permuted_dynamic_paths; + permuted_dynamic_paths.reserve(dynamic_paths_ptrs.size()); + for (const auto & [path, column] : dynamic_paths_ptrs) + permuted_dynamic_paths[path] = column->permute(perm, limit); + + auto permuted_shared_data = shared_data->permute(perm, limit); + return ColumnObject::create(permuted_typed_paths, permuted_dynamic_paths, permuted_shared_data, max_dynamic_paths, global_max_dynamic_paths, max_dynamic_types); } ColumnPtr ColumnObject::index(const IColumn & indexes, size_t limit) const { - return applyForSubcolumns([&](const auto & subcolumn) { return subcolumn.index(indexes, limit); }); + std::unordered_map indexed_typed_paths; + indexed_typed_paths.reserve(typed_paths.size()); + for (const auto & [path, column] : typed_paths) + indexed_typed_paths[path] = column->index(indexes, limit); + + std::unordered_map indexed_dynamic_paths; + indexed_dynamic_paths.reserve(dynamic_paths_ptrs.size()); + for (const auto & [path, column] : dynamic_paths_ptrs) + indexed_dynamic_paths[path] = column->index(indexes, limit); + + auto indexed_shared_data = shared_data->index(indexes, limit); + return ColumnObject::create(indexed_typed_paths, indexed_dynamic_paths, indexed_shared_data, max_dynamic_paths, global_max_dynamic_paths, max_dynamic_types); } -ColumnPtr ColumnObject::replicate(const Offsets & offsets) const +ColumnPtr ColumnObject::replicate(const Offsets & replicate_offsets) const { - return applyForSubcolumns([&](const auto & subcolumn) { return subcolumn.replicate(offsets); }); + std::unordered_map replicated_typed_paths; + replicated_typed_paths.reserve(typed_paths.size()); + for (const auto & [path, column] : typed_paths) + replicated_typed_paths[path] = column->replicate(replicate_offsets); + + std::unordered_map replicated_dynamic_paths; + replicated_dynamic_paths.reserve(dynamic_paths_ptrs.size()); + for (const auto & [path, column] : dynamic_paths_ptrs) + replicated_dynamic_paths[path] = column->replicate(replicate_offsets); + + auto replicated_shared_data = shared_data->replicate(replicate_offsets); + return ColumnObject::create(replicated_typed_paths, replicated_dynamic_paths, replicated_shared_data, max_dynamic_paths, global_max_dynamic_paths, max_dynamic_types); } -MutableColumnPtr ColumnObject::cloneResized(size_t new_size) const +MutableColumns ColumnObject::scatter(ColumnIndex num_columns, const Selector & selector) const { - if (new_size == 0) - return ColumnObject::create(is_nullable); + std::vector> scattered_typed_paths(num_columns); + for (auto & typed_paths_ : scattered_typed_paths) + typed_paths_.reserve(typed_paths.size()); - return applyForSubcolumns([&](const auto & subcolumn) { return subcolumn.cloneResized(new_size); }); + for (const auto & [path, column] : typed_paths) + { + auto scattered_columns = column->scatter(num_columns, selector); + for (size_t i = 0; i != num_columns; ++i) + scattered_typed_paths[i][path] = std::move(scattered_columns[i]); + } + + std::vector> scattered_dynamic_paths(num_columns); + for (auto & dynamic_paths_ : scattered_dynamic_paths) + dynamic_paths_.reserve(dynamic_paths_ptrs.size()); + + for (const auto & [path, column] : dynamic_paths_ptrs) + { + auto scattered_columns = column->scatter(num_columns, selector); + for (size_t i = 0; i != num_columns; ++i) + scattered_dynamic_paths[i][path] = std::move(scattered_columns[i]); + } + + auto scattered_shared_data_columns = shared_data->scatter(num_columns, selector); + MutableColumns result_columns; + result_columns.reserve(num_columns); + for (size_t i = 0; i != num_columns; ++i) + result_columns.emplace_back(ColumnObject::create(std::move(scattered_typed_paths[i]), std::move(scattered_dynamic_paths[i]), std::move(scattered_shared_data_columns[i]), max_dynamic_paths, global_max_dynamic_paths, max_dynamic_types)); + return result_columns; } void ColumnObject::getPermutation(PermutationSortDirection, PermutationSortStability, size_t, int, Permutation & res) const { - res.resize(num_rows); + /// Values in ColumnObject are not comparable. + res.resize(size()); iota(res.data(), res.size(), size_t(0)); } -void ColumnObject::getExtremes(Field & min, Field & max) const +void ColumnObject::reserve(size_t n) { - if (num_rows == 0) + for (auto & [_, column] : typed_paths) + column->reserve(n); + for (auto & [_, column] : dynamic_paths_ptrs) + column->reserve(n); + shared_data->reserve(n); +} + +size_t ColumnObject::capacity() const +{ + return shared_data->capacity(); +} + +void ColumnObject::ensureOwnership() +{ + for (auto & [_, column] : typed_paths) + column->ensureOwnership(); + for (auto & [_, column] : dynamic_paths_ptrs) + column->ensureOwnership(); + shared_data->ensureOwnership(); +} + +size_t ColumnObject::byteSize() const +{ + size_t size = 0; + for (const auto & [_, column] : typed_paths) + size += column->byteSize(); + for (const auto & [_, column] : dynamic_paths_ptrs) + size += column->byteSize(); + size += shared_data->byteSize(); + return size; +} + +size_t ColumnObject::byteSizeAt(size_t n) const +{ + size_t size = 0; + for (const auto & [_, column] : typed_paths) + size += column->byteSizeAt(n); + for (const auto & [_, column] : dynamic_paths_ptrs) + size += column->byteSizeAt(n); + size += shared_data->byteSizeAt(n); + return size; +} + +size_t ColumnObject::allocatedBytes() const +{ + size_t size = 0; + for (const auto & [_, column] : typed_paths) + size += column->allocatedBytes(); + for (const auto & [_, column] : dynamic_paths_ptrs) + size += column->allocatedBytes(); + size += shared_data->allocatedBytes(); + return size; +} + +void ColumnObject::protect() +{ + for (auto & [_, column] : typed_paths) + column->protect(); + for (auto & [_, column] : dynamic_paths_ptrs) + column->protect(); + shared_data->protect(); +} + +void ColumnObject::forEachSubcolumn(DB::IColumn::MutableColumnCallback callback) +{ + for (auto & [_, column] : typed_paths) + callback(column); + for (auto & [path, column] : dynamic_paths) + { + callback(column); + dynamic_paths_ptrs[path] = assert_cast(column.get()); + } + callback(shared_data); +} + +void ColumnObject::forEachSubcolumnRecursively(DB::IColumn::RecursiveMutableColumnCallback callback) +{ + for (auto & [_, column] : typed_paths) + { + callback(*column); + column->forEachSubcolumnRecursively(callback); + } + for (auto & [path, column] : dynamic_paths) + { + callback(*column); + column->forEachSubcolumnRecursively(callback); + dynamic_paths_ptrs[path] = assert_cast(column.get()); + } + callback(*shared_data); + shared_data->forEachSubcolumnRecursively(callback); +} + +bool ColumnObject::structureEquals(const IColumn & rhs) const +{ + /// 2 Object columns have equal structure if they have the same typed paths and max_dynamic_paths/max_dynamic_types. + const auto * rhs_object = typeid_cast(&rhs); + if (!rhs_object || typed_paths.size() != rhs_object->typed_paths.size() || max_dynamic_paths != rhs_object->max_dynamic_paths || max_dynamic_types != rhs_object->max_dynamic_types) + return false; + + for (const auto & [path, column] : typed_paths) + { + auto it = rhs_object->typed_paths.find(path); + if (it == rhs_object->typed_paths.end() || !it->second->structureEquals(*column)) + return false; + } + + return true; +} + +ColumnPtr ColumnObject::compress() const +{ + std::unordered_map compressed_typed_paths; + compressed_typed_paths.reserve(typed_paths.size()); + size_t byte_size = 0; + for (const auto & [path, column] : typed_paths) + { + auto compressed_column = column->compress(); + byte_size += compressed_column->byteSize(); + compressed_typed_paths[path] = std::move(compressed_column); + } + + std::unordered_map compressed_dynamic_paths; + compressed_dynamic_paths.reserve(dynamic_paths_ptrs.size()); + for (const auto & [path, column] : dynamic_paths_ptrs) + { + auto compressed_column = column->compress(); + byte_size += compressed_column->byteSize(); + compressed_dynamic_paths[path] = std::move(compressed_column); + } + + auto compressed_shared_data = shared_data->compress(); + byte_size += compressed_shared_data->byteSize(); + + auto decompress = + [my_compressed_typed_paths = std::move(compressed_typed_paths), + my_compressed_dynamic_paths = std::move(compressed_dynamic_paths), + my_compressed_shared_data = std::move(compressed_shared_data), + my_max_dynamic_paths = max_dynamic_paths, + my_global_max_dynamic_paths = global_max_dynamic_paths, + my_max_dynamic_types = max_dynamic_types, + my_statistics = statistics]() mutable + { + std::unordered_map decompressed_typed_paths; + decompressed_typed_paths.reserve(my_compressed_typed_paths.size()); + for (const auto & [path, column] : my_compressed_typed_paths) + decompressed_typed_paths[path] = column->decompress(); + + std::unordered_map decompressed_dynamic_paths; + decompressed_dynamic_paths.reserve(my_compressed_dynamic_paths.size()); + for (const auto & [path, column] : my_compressed_dynamic_paths) + decompressed_dynamic_paths[path] = column->decompress(); + + auto decompressed_shared_data = my_compressed_shared_data->decompress(); + return ColumnObject::create(decompressed_typed_paths, decompressed_dynamic_paths, decompressed_shared_data, my_max_dynamic_paths, my_global_max_dynamic_paths, my_max_dynamic_types, my_statistics); + }; + + return ColumnCompressed::create(size(), byte_size, decompress); +} + +void ColumnObject::finalize() +{ + for (auto & [_, column] : typed_paths) + column->finalize(); + for (auto & [_, column] : dynamic_paths_ptrs) + column->finalize(); + shared_data->finalize(); +} + +bool ColumnObject::isFinalized() const +{ + bool finalized = true; + for (const auto & [_, column] : typed_paths) + finalized &= column->isFinalized(); + for (const auto & [_, column] : dynamic_paths_ptrs) + finalized &= column->isFinalized(); + finalized &= shared_data->isFinalized(); + return finalized; +} + +void ColumnObject::getExtremes(DB::Field & min, DB::Field & max) const +{ + if (empty()) { min = Object(); max = Object(); @@ -884,227 +1144,311 @@ void ColumnObject::getExtremes(Field & min, Field & max) const } } -const ColumnObject::Subcolumn & ColumnObject::getSubcolumn(const PathInData & key) const +void ColumnObject::prepareForSquashing(const std::vector & source_columns) { - if (const auto * node = subcolumns.findLeaf(key)) - return node->data; + if (source_columns.empty()) + return; - throw Exception(ErrorCodes::ILLEGAL_COLUMN, "There is no subcolumn {} in ColumnObject", key.getPath()); -} + /// Dynamic paths of source Object columns may differ. + /// We want to preallocate memory for all dynamic paths we will have after squashing. + /// It may happen that the total number of dynamic paths in source columns will + /// exceed the limit, in this case we will choose the most frequent paths. + std::unordered_map path_to_total_number_of_non_null_values; -ColumnObject::Subcolumn & ColumnObject::getSubcolumn(const PathInData & key) -{ - if (const auto * node = subcolumns.findLeaf(key)) - return const_cast(node)->data; - - throw Exception(ErrorCodes::ILLEGAL_COLUMN, "There is no subcolumn {} in ColumnObject", key.getPath()); -} - -bool ColumnObject::hasSubcolumn(const PathInData & key) const -{ - return subcolumns.findLeaf(key) != nullptr; -} - -void ColumnObject::addSubcolumn(const PathInData & key, MutableColumnPtr && subcolumn) -{ - size_t new_size = subcolumn->size(); - bool inserted = subcolumns.add(key, Subcolumn(std::move(subcolumn), is_nullable)); - - if (!inserted) - throw Exception(ErrorCodes::DUPLICATE_COLUMN, "Subcolumn '{}' already exists", key.getPath()); - - if (num_rows == 0) - num_rows = new_size; - else if (new_size != num_rows) - throw Exception(ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH, - "Size of subcolumn {} ({}) is inconsistent with column size ({})", - key.getPath(), new_size, num_rows); -} - -void ColumnObject::addSubcolumn(const PathInData & key, size_t new_size) -{ - bool inserted = subcolumns.add(key, Subcolumn(new_size, is_nullable)); - if (!inserted) - throw Exception(ErrorCodes::DUPLICATE_COLUMN, "Subcolumn '{}' already exists", key.getPath()); - - if (num_rows == 0) - num_rows = new_size; - else if (new_size != num_rows) - throw Exception(ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH, - "Required size of subcolumn {} ({}) is inconsistent with column size ({})", - key.getPath(), new_size, num_rows); -} - -void ColumnObject::addNestedSubcolumn(const PathInData & key, const FieldInfo & field_info, size_t new_size) -{ - if (!key.hasNested()) - throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, - "Cannot add Nested subcolumn, because path doesn't contain Nested"); - - bool inserted = false; - /// We find node that represents the same Nested type as @key. - const auto * nested_node = subcolumns.findBestMatch(key); - - if (nested_node) + auto add_dynamic_paths = [&](const ColumnObject & source_object) { - /// Find any leaf of Nested subcolumn. - const auto * leaf = Subcolumns::findLeaf(nested_node, [&](const auto &) { return true; }); - assert(leaf); + for (const auto & [path, dynamic_column_ptr] : source_object.dynamic_paths_ptrs) + { + auto it = path_to_total_number_of_non_null_values.find(path); + if (it == path_to_total_number_of_non_null_values.end()) + it = path_to_total_number_of_non_null_values.emplace(path, 0).first; + it->second += (dynamic_column_ptr->size() - dynamic_column_ptr->getNumberOfDefaultRows()); + } + }; - /// Recreate subcolumn with default values and the same sizes of arrays. - auto new_subcolumn = leaf->data.recreateWithDefaultValues(field_info); + for (const auto & source_column : source_columns) + add_dynamic_paths(assert_cast(*source_column)); - /// It's possible that we have already inserted value from current row - /// to this subcolumn. So, adjust size to expected. - if (new_subcolumn.size() > new_size) - new_subcolumn.popBack(new_subcolumn.size() - new_size); + /// Add dynamic paths from this object column. + add_dynamic_paths(*this); - assert(new_subcolumn.size() == new_size); - inserted = subcolumns.add(key, new_subcolumn); + /// Check if the number of all dynamic paths exceeds the limit. + if (path_to_total_number_of_non_null_values.size() > max_dynamic_paths) + { + /// We want to keep the most frequent paths in the resulting object column. + /// Sort paths by total number of non null values. + /// Don't include paths from current column as we cannot change them. + std::vector> paths_with_sizes; + paths_with_sizes.reserve(path_to_total_number_of_non_null_values.size() - dynamic_paths.size()); + for (const auto & [path, size] : path_to_total_number_of_non_null_values) + { + if (!dynamic_paths.contains(path)) + paths_with_sizes.emplace_back(size, path); + } + std::sort(paths_with_sizes.begin(), paths_with_sizes.end(), std::greater()); + + /// Fill dynamic_paths with first paths in sorted list until we reach the limit. + size_t paths_to_add = max_dynamic_paths - dynamic_paths.size(); + for (size_t i = 0; i != paths_to_add; ++i) + addNewDynamicPath(paths_with_sizes[i].second); } + /// Otherwise keep all paths. else { - /// If node was not found just add subcolumn with empty arrays. - inserted = subcolumns.add(key, Subcolumn(new_size, is_nullable)); + /// Create columns for new dynamic paths. + for (const auto & [path, _] : path_to_total_number_of_non_null_values) + { + if (!dynamic_paths.contains(path)) + addNewDynamicPath(path); + } } - if (!inserted) - throw Exception(ErrorCodes::DUPLICATE_COLUMN, "Subcolumn '{}' already exists", key.getPath()); + /// Now current object column has all resulting dynamic paths and we can call + /// prepareForSquashing on them to preallocate the memory. + /// Also we can preallocate memory for dynamic paths and shared data. + Columns shared_data_source_columns; + shared_data_source_columns.reserve(source_columns.size()); + std::unordered_map typed_paths_source_columns; + typed_paths_source_columns.reserve(typed_paths.size()); + std::unordered_map dynamic_paths_source_columns; + dynamic_paths_source_columns.reserve(dynamic_paths.size()); - if (num_rows == 0) - num_rows = new_size; - else if (new_size != num_rows) - throw Exception(ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH, - "Required size of subcolumn {} ({}) is inconsistent with column size ({})", - key.getPath(), new_size, num_rows); + for (const auto & [path, column] : typed_paths) + typed_paths_source_columns[path].reserve(source_columns.size()); + + for (const auto & [path, column] : dynamic_paths) + dynamic_paths_source_columns[path].reserve(source_columns.size()); + + size_t total_size = 0; + for (const auto & source_column : source_columns) + { + const auto & source_object_column = assert_cast(*source_column); + total_size += source_object_column.size(); + shared_data_source_columns.push_back(source_object_column.shared_data); + + for (const auto & [path, column] : source_object_column.typed_paths) + typed_paths_source_columns.at(path).push_back(column); + + for (const auto & [path, column] : source_object_column.dynamic_paths) + { + if (dynamic_paths.contains(path)) + dynamic_paths_source_columns.at(path).push_back(column); + } + } + + shared_data->prepareForSquashing(shared_data_source_columns); + + for (const auto & [path, source_typed_columns] : typed_paths_source_columns) + typed_paths[path]->prepareForSquashing(source_typed_columns); + + for (const auto & [path, source_dynamic_columns] : dynamic_paths_source_columns) + { + /// ColumnDynamic::prepareForSquashing may not preallocate enough memory for discriminators and offsets + /// because source columns may not have this dynamic path (and so dynamic columns filled with nulls). + /// For this reason we first call ColumnDynamic::reserve with resulting size to preallocate memory for + /// discriminators and offsets and ColumnDynamic::prepareVariantsForSquashing to preallocate memory + /// for all variants inside Dynamic. + dynamic_paths_ptrs[path]->reserve(total_size); + dynamic_paths_ptrs[path]->prepareVariantsForSquashing(source_dynamic_columns); + } } -const ColumnObject::Subcolumns::Node * ColumnObject::getLeafOfTheSameNested(const Subcolumns::NodePtr & entry) const +void ColumnObject::takeDynamicStructureFromSourceColumns(const DB::Columns & source_columns) { - if (!entry->path.hasNested()) - return nullptr; + if (!empty()) + throw Exception(ErrorCodes::LOGICAL_ERROR, "takeDynamicStructureFromSourceColumns should be called only on empty Object column"); - size_t old_size = entry->data.size(); - const auto * current_node = subcolumns.findLeaf(entry->path); - const Subcolumns::Node * leaf = nullptr; + /// During serialization of Object column in MergeTree all Object columns + /// in single part must have the same structure (the same dynamic paths). During merge + /// resulting column is constructed by inserting from source columns, + /// but it may happen that resulting column doesn't have rows from all source parts + /// but only from subset of them, and as a result some dynamic paths could be missing + /// and structures of resulting column may differ. + /// To solve this problem, before merge we create empty resulting column and use this method + /// to take dynamic structure from all source columns even if we won't insert + /// rows from some of them. - while (current_node) + /// We want to construct resulting set of dynamic paths with paths that have least number of null values in source columns + /// and insert the rest paths into shared data if we exceed the limit of dynamic paths. + /// First, collect all dynamic paths from all source columns and calculate total number of non-null values. + std::unordered_map path_to_total_number_of_non_null_values; + for (const auto & source_column : source_columns) { - /// Try to find the first Nested up to the current node. - const auto * node_nested = Subcolumns::findParent(current_node, - [](const auto & candidate) { return candidate.isNested(); }); - - if (!node_nested) - break; - - /// Find the leaf with subcolumn that contains values - /// for the last rows. - /// If there are no leaves, skip current node and find - /// the next node up to the current. - leaf = Subcolumns::findLeaf(node_nested, - [&](const auto & candidate) + const auto & source_object = assert_cast(*source_column); + /// During deserialization from MergeTree we will have statistics from the whole + /// data part with number of non null values for each dynamic path. + const auto & source_statistics = source_object.getStatistics(); + for (const auto & [path, column_ptr] : source_object.dynamic_paths_ptrs) + { + auto it = path_to_total_number_of_non_null_values.find(path); + if (it == path_to_total_number_of_non_null_values.end()) + it = path_to_total_number_of_non_null_values.emplace(path, 0).first; + size_t size = column_ptr->size() - column_ptr->getNumberOfDefaultRows(); + if (source_statistics) { - return candidate.data.size() > old_size; - }); + auto statistics_it = source_statistics->dynamic_paths_statistics.find(path); + if (statistics_it != source_statistics->dynamic_paths_statistics.end()) + size = statistics_it->second; + } + it->second += size; + } - if (leaf) - break; - - current_node = node_nested->parent; + /// Add paths from shared data statistics. It can helo extracting frequent paths + /// from shared data to dynamic paths. + if (source_statistics) + { + for (const auto & [path, size] : source_statistics->shared_data_paths_statistics) + { + auto it = path_to_total_number_of_non_null_values.find(path); + if (it == path_to_total_number_of_non_null_values.end()) + it = path_to_total_number_of_non_null_values.emplace(path, 0).first; + it->second += size; + } + } } - if (leaf && isNothing(leaf->data.getLeastCommonTypeBase())) - return nullptr; + /// Reset current state. + dynamic_paths.clear(); + dynamic_paths_ptrs.clear(); + max_dynamic_paths = global_max_dynamic_paths; + Statistics new_statistics(Statistics::Source::MERGE); - return leaf; -} - -bool ColumnObject::tryInsertManyDefaultsFromNested(const Subcolumns::NodePtr & entry) const -{ - const auto * leaf = getLeafOfTheSameNested(entry); - if (!leaf) - return false; - - size_t old_size = entry->data.size(); - auto field_info = entry->data.getFieldInfo(); - - /// Cut the needed range from the found leaf - /// and replace scalar values to the correct - /// default values for given entry. - auto new_subcolumn = leaf->data - .cut(old_size, leaf->data.size() - old_size) - .recreateWithDefaultValues(field_info); - - entry->data.insertRangeFrom(new_subcolumn, 0, new_subcolumn.size()); - return true; -} - -bool ColumnObject::tryInsertDefaultFromNested(const Subcolumns::NodePtr & entry) const -{ - const auto * leaf = getLeafOfTheSameNested(entry); - if (!leaf) - return false; - - auto last_field = leaf->data.getLastField(); - if (last_field.isNull()) - return false; - - size_t leaf_num_dimensions = leaf->data.getNumberOfDimensions(); - size_t entry_num_dimensions = entry->data.getNumberOfDimensions(); - - auto default_scalar = entry_num_dimensions > leaf_num_dimensions - ? createEmptyArrayField(entry_num_dimensions - leaf_num_dimensions) - : entry->data.getLeastCommonTypeBase()->getDefault(); - - auto default_field = applyVisitor(FieldVisitorReplaceScalars(default_scalar, leaf_num_dimensions), last_field); - entry->data.insert(std::move(default_field)); - return true; -} - -PathsInData ColumnObject::getKeys() const -{ - PathsInData keys; - keys.reserve(subcolumns.size()); - for (const auto & entry : subcolumns) - keys.emplace_back(entry->path); - return keys; -} - -bool ColumnObject::isFinalized() const -{ - return std::all_of(subcolumns.begin(), subcolumns.end(), - [](const auto & entry) { return entry->data.isFinalized(); }); -} - -void ColumnObject::finalize() -{ - size_t old_size = size(); - Subcolumns new_subcolumns; - for (auto && entry : subcolumns) + /// Check if the number of all dynamic paths exceeds the limit. + if (path_to_total_number_of_non_null_values.size() > max_dynamic_paths) { - const auto & least_common_type = entry->data.getLeastCommonType(); + /// Sort paths by total number of non null values. + std::vector> paths_with_sizes; + paths_with_sizes.reserve(path_to_total_number_of_non_null_values.size()); + for (const auto & [path, size] : path_to_total_number_of_non_null_values) + paths_with_sizes.emplace_back(size, path); + std::sort(paths_with_sizes.begin(), paths_with_sizes.end(), std::greater()); - /// Do not add subcolumns, which consist only from NULLs. - if (isNothing(getBaseTypeOfArray(least_common_type))) - continue; - - entry->data.finalize(); - new_subcolumns.add(entry->path, entry->data); + /// Fill dynamic_paths with first max_dynamic_paths paths in sorted list. + for (const auto & [size, path] : paths_with_sizes) + { + if (dynamic_paths.size() < max_dynamic_paths) + { + dynamic_paths.emplace(path, ColumnDynamic::create(max_dynamic_types)); + dynamic_paths_ptrs.emplace(path, assert_cast(dynamic_paths.find(path)->second.get())); + } + /// Add all remaining paths into shared data statistics until we reach its max size; + else if (new_statistics.shared_data_paths_statistics.size() < Statistics::MAX_SHARED_DATA_STATISTICS_SIZE) + { + new_statistics.shared_data_paths_statistics.emplace(path, size); + } + } + } + /// Use all dynamic paths from all source columns. + else + { + for (const auto & [path, _] : path_to_total_number_of_non_null_values) + { + dynamic_paths[path] = ColumnDynamic::create(max_dynamic_types); + dynamic_paths_ptrs[path] = assert_cast(dynamic_paths[path].get()); + } } - /// If all subcolumns were skipped add a dummy subcolumn, - /// because Tuple type must have at least one element. - if (new_subcolumns.empty()) - new_subcolumns.add(PathInData{COLUMN_NAME_DUMMY}, Subcolumn{ColumnUInt8::create(old_size, 0), is_nullable}); + /// Fill statistics for the merged part. + for (const auto & [path, _] : dynamic_paths) + new_statistics.dynamic_paths_statistics[path] = path_to_total_number_of_non_null_values[path]; + statistics = std::make_shared(std::move(new_statistics)); - std::swap(subcolumns, new_subcolumns); - checkObjectHasNoAmbiguosPaths(getKeys()); + /// Set max_dynamic_paths to the number of selected dynamic paths. + /// It's needed to avoid adding new unexpected dynamic paths during inserts into this column during merge. + max_dynamic_paths = dynamic_paths.size(); + + /// Now we have the resulting set of dynamic paths that will be used in all merged columns. + /// As we use Dynamic column for dynamic paths, we should call takeDynamicStructureFromSourceColumns + /// on all resulting dynamic columns. + for (auto & [path, column] : dynamic_paths) + { + Columns dynamic_path_source_columns; + for (const auto & source_column : source_columns) + { + const auto & source_object = assert_cast(*source_column); + auto it = source_object.dynamic_paths.find(path); + if (it != source_object.dynamic_paths.end()) + dynamic_path_source_columns.push_back(it->second); + } + column->takeDynamicStructureFromSourceColumns(dynamic_path_source_columns); + } + + /// Typed paths also can contain types with dynamic structure. + for (auto & [path, column] : typed_paths) + { + Columns typed_path_source_columns; + typed_path_source_columns.reserve(source_columns.size()); + for (const auto & source_column : source_columns) + typed_path_source_columns.push_back(assert_cast(*source_column).typed_paths.at(path)); + column->takeDynamicStructureFromSourceColumns(typed_path_source_columns); + } } -void ColumnObject::updateHashFast(SipHash & hash) const +size_t ColumnObject::findPathLowerBoundInSharedData(StringRef path, const ColumnString & shared_data_paths, size_t start, size_t end) { - for (const auto & entry : subcolumns) - for (auto & part : entry->data.data) - part->updateHashFast(hash); + /// Simple random access iterator over values in ColumnString in specified range. + class Iterator + { + public: + using difference_type = size_t; + using value_type = StringRef; + using iterator_category = std::random_access_iterator_tag; + using pointer = StringRef*; + using reference = StringRef&; + + Iterator() = delete; + Iterator(const ColumnString * data_, size_t index_) : data(data_), index(index_) {} + Iterator(const Iterator & rhs) = default; + Iterator & operator=(const Iterator & rhs) = default; + inline Iterator& operator+=(difference_type rhs) { index += rhs; return *this;} + inline StringRef operator*() const {return data->getDataAt(index);} + + inline Iterator& operator++() { ++index; return *this; } + inline difference_type operator-(const Iterator & rhs) const {return index - rhs.index; } + + const ColumnString * data; + size_t index; + }; + + Iterator start_it(&shared_data_paths, start); + Iterator end_it(&shared_data_paths, end); + auto it = std::lower_bound(start_it, end_it, path); + return it.index; } + +void ColumnObject::fillPathColumnFromSharedData(IColumn & path_column, StringRef path, const ColumnPtr & shared_data_column, size_t start, size_t end) +{ + const auto & shared_data_array = assert_cast(*shared_data_column); + const auto & shared_data_offsets = shared_data_array.getOffsets(); + size_t first_offset = shared_data_offsets[static_cast(start) - 1]; + size_t last_offset = shared_data_offsets[static_cast(end) - 1]; + /// Check if we have at least one row with data. + if (first_offset == last_offset) + { + path_column.insertManyDefaults(end - start); + return; + } + + const auto & shared_data_tuple = assert_cast(shared_data_array.getData()); + const auto & shared_data_paths = assert_cast(shared_data_tuple.getColumn(0)); + const auto & shared_data_values = assert_cast(shared_data_tuple.getColumn(1)); + const auto & dynamic_serialization = getDynamicSerialization(); + for (size_t i = start; i != end; ++i) + { + size_t paths_start = shared_data_offsets[static_cast(i) - 1]; + size_t paths_end = shared_data_offsets[static_cast(i)]; + auto lower_bound_path_index = ColumnObject::findPathLowerBoundInSharedData(path, shared_data_paths, paths_start, paths_end); + if (lower_bound_path_index != paths_end && shared_data_paths.getDataAt(lower_bound_path_index) == path) + { + auto value_data = shared_data_values.getDataAt(lower_bound_path_index); + ReadBufferFromMemory buf(value_data.data, value_data.size); + dynamic_serialization->deserializeBinary(path_column, buf, getFormatSettings()); + } + else + { + path_column.insertDefault(); + } + } +} + } diff --git a/src/Columns/ColumnObject.h b/src/Columns/ColumnObject.h index 25cfaa550f6..f530ed29ef3 100644 --- a/src/Columns/ColumnObject.h +++ b/src/Columns/ColumnObject.h @@ -1,216 +1,117 @@ #pragma once #include -#include -#include -#include -#include -#include +#include +#include +#include +#include #include +#include +#include +#include +#include namespace DB { -namespace ErrorCodes -{ - extern const int NOT_IMPLEMENTED; -} - -/// Info that represents a scalar or array field in a decomposed view. -/// It allows to recreate field with different number -/// of dimensions or nullability. -struct FieldInfo -{ - /// The common type of of all scalars in field. - DataTypePtr scalar_type; - - /// Do we have NULL scalar in field. - bool have_nulls; - - /// If true then we have scalars with different types in array and - /// we need to convert scalars to the common type. - bool need_convert; - - /// Number of dimension in array. 0 if field is scalar. - size_t num_dimensions; - - /// If true then this field is an array of variadic dimension field - /// and we need to normalize the dimension - bool need_fold_dimension; -}; - -FieldInfo getFieldInfo(const Field & field); - -/** A column that represents object with dynamic set of subcolumns. - * Subcolumns are identified by paths in document and are stored in - * a trie-like structure. ColumnObject is not suitable for writing into tables - * and it should be converted to Tuple with fixed set of subcolumns before that. - */ class ColumnObject final : public COWHelper, ColumnObject> { public: - /** Class that represents one subcolumn. - * It stores values in several parts of column - * and keeps current common type of all parts. - * We add a new column part with a new type, when we insert a field, - * which can't be converted to the current common type. - * After insertion of all values subcolumn should be finalized - * for writing and other operations. - */ - class Subcolumn + struct Statistics { - public: - Subcolumn() = default; - Subcolumn(size_t size_, bool is_nullable_); - Subcolumn(MutableColumnPtr && data_, bool is_nullable_); - - size_t size() const; - size_t byteSize() const; - size_t allocatedBytes() const; - void get(size_t n, Field & res) const; - - bool isFinalized() const; - const DataTypePtr & getLeastCommonType() const { return least_common_type.get(); } - const DataTypePtr & getLeastCommonTypeBase() const { return least_common_type.getBase(); } - size_t getNumberOfDimensions() const { return least_common_type.getNumberOfDimensions(); } - - /// Checks the consistency of column's parts stored in @data. - void checkTypes() const; - - /// Inserts a field, which scalars can be arbitrary, but number of - /// dimensions should be consistent with current common type. - void insert(Field field); - void insert(Field field, FieldInfo info); - - void insertDefault(); - void insertManyDefaults(size_t length); - void insertRangeFrom(const Subcolumn & src, size_t start, size_t length); - void popBack(size_t n); - - Subcolumn cut(size_t start, size_t length) const; - - /// Converts all column's parts to the common type and - /// creates a single column that stores all values. - void finalize(); - - /// Returns last inserted field. - Field getLastField() const; - - FieldInfo getFieldInfo() const; - - /// Recreates subcolumn with default scalar values and keeps sizes of arrays. - /// Used to create columns of type Nested with consistent array sizes. - Subcolumn recreateWithDefaultValues(const FieldInfo & field_info) const; - - /// Returns single column if subcolumn in finalizes. - /// Otherwise -- undefined behaviour. - IColumn & getFinalizedColumn(); - const IColumn & getFinalizedColumn() const; - const ColumnPtr & getFinalizedColumnPtr() const; - - const std::vector & getData() const { return data; } - size_t getNumberOfDefaultsInPrefix() const { return num_of_defaults_in_prefix; } - - friend class ColumnObject; - - private: - class LeastCommonType + enum class Source { - public: - LeastCommonType(); - explicit LeastCommonType(DataTypePtr type_); - - const DataTypePtr & get() const { return type; } - const DataTypePtr & getBase() const { return base_type; } - size_t getNumberOfDimensions() const { return num_dimensions; } - - private: - DataTypePtr type; - DataTypePtr base_type; - size_t num_dimensions = 0; + READ, /// Statistics were loaded into column during reading from MergeTree. + MERGE, /// Statistics were calculated during merge of several MergeTree parts. }; - void addNewColumnPart(DataTypePtr type); + explicit Statistics(Source source_) : source(source_) {} - /// Current least common type of all values inserted to this subcolumn. - LeastCommonType least_common_type; - - /// If true then common type type of subcolumn is Nullable - /// and default values are NULLs. - bool is_nullable = false; - - /// Parts of column. Parts should be in increasing order in terms of subtypes/supertypes. - /// That means that the least common type for i-th prefix is the type of i-th part - /// and it's the supertype for all type of column from 0 to i-1. - std::vector data; - - /// Until we insert any non-default field we don't know further - /// least common type and we count number of defaults in prefix, - /// which will be converted to the default type of final common type. - size_t num_of_defaults_in_prefix = 0; - - size_t num_rows = 0; + /// Source of the statistics. + Source source; + /// Statistics for dynamic paths: (path) -> (total number of not-null values). + std::unordered_map dynamic_paths_statistics; + /// Statistics for paths in shared data: path) -> (total number of not-null values). + /// We don't store statistics for all paths in shared data but only for some subset of them + /// (is 10000 a good limit? It should not be expensive to store 10000 paths per part) + static const size_t MAX_SHARED_DATA_STATISTICS_SIZE = 10000; + std::unordered_map shared_data_paths_statistics; }; - using Subcolumns = SubcolumnsTree; + using StatisticsPtr = std::shared_ptr; private: - /// If true then all subcolumns are nullable. - const bool is_nullable; + friend class COWHelper, ColumnObject>; - Subcolumns subcolumns; - size_t num_rows; + ColumnObject(std::unordered_map typed_paths_, size_t max_dynamic_paths_, size_t max_dynamic_types_); + ColumnObject( + std::unordered_map typed_paths_, + std::unordered_map dynamic_paths_, + MutableColumnPtr shared_data_, + size_t max_dynamic_paths_, + size_t global_max_dynamic_paths_, + size_t max_dynamic_types_, + const StatisticsPtr & statistics_ = {}); + /// Use StringHashForHeterogeneousLookup hash for hash maps to be able to use std::string_view in find() method. + using PathToColumnMap = std::unordered_map; + using PathToDynamicColumnPtrMap = std::unordered_map; public: - static constexpr auto COLUMN_NAME_DUMMY = "_dummy"; + /** Create immutable column using immutable arguments. This arguments may be shared with other columns. + * Use mutate in order to make mutable column and mutate shared nested columns. + */ + using Base = COWHelper, ColumnObject>; - explicit ColumnObject(bool is_nullable_); - ColumnObject(Subcolumns && subcolumns_, bool is_nullable_); + static Ptr create( + const std::unordered_map & typed_paths_, + const std::unordered_map & dynamic_paths_, + const ColumnPtr & shared_data_, + size_t max_dynamic_paths_, + size_t global_max_dynamic_paths_, + size_t max_dynamic_types_, + const StatisticsPtr & statistics_ = {}); - /// Checks that all subcolumns have consistent sizes. - void checkConsistency() const; + static MutablePtr create( + std::unordered_map typed_paths_, + std::unordered_map dynamic_paths_, + MutableColumnPtr shared_data_, + size_t max_dynamic_paths_, + size_t global_max_dynamic_paths_, + size_t max_dynamic_types_, + const StatisticsPtr & statistics_ = {}); - bool hasSubcolumn(const PathInData & key) const; + static MutablePtr create(std::unordered_map typed_paths_, size_t max_dynamic_paths_, size_t max_dynamic_types_); - const Subcolumn & getSubcolumn(const PathInData & key) const; - Subcolumn & getSubcolumn(const PathInData & key); + std::string getName() const override; - void incrementNumRows() { ++num_rows; } + const char * getFamilyName() const override + { + return "Object"; + } - /// Adds a subcolumn from existing IColumn. - void addSubcolumn(const PathInData & key, MutableColumnPtr && subcolumn); + TypeIndex getDataType() const override + { + return TypeIndex::Object; + } - /// Adds a subcolumn of specific size with default values. - void addSubcolumn(const PathInData & key, size_t new_size); + MutableColumnPtr cloneEmpty() const override; + MutableColumnPtr cloneResized(size_t size) const override; - /// Adds a subcolumn of type Nested of specific size with default values. - /// It cares about consistency of sizes of Nested arrays. - void addNestedSubcolumn(const PathInData & key, const FieldInfo & field_info, size_t new_size); + size_t size() const override + { + return shared_data->size(); + } - /// Finds a subcolumn from the same Nested type as @entry and inserts - /// an array with default values with consistent sizes as in Nested type. - bool tryInsertDefaultFromNested(const Subcolumns::NodePtr & entry) const; - bool tryInsertManyDefaultsFromNested(const Subcolumns::NodePtr & entry) const; + Field operator[](size_t n) const override; + void get(size_t n, Field & res) const override; - const Subcolumns & getSubcolumns() const { return subcolumns; } - Subcolumns & getSubcolumns() { return subcolumns; } - PathsInData getKeys() const; - - /// Part of interface - - const char * getFamilyName() const override { return "Object"; } - TypeIndex getDataType() const override { return TypeIndex::Object; } - - size_t size() const override; - size_t byteSize() const override; - size_t allocatedBytes() const override; - void forEachSubcolumn(MutableColumnCallback callback) override; - void forEachSubcolumnRecursively(RecursiveMutableColumnCallback callback) override; - void insert(const Field & field) override; - bool tryInsert(const Field & field) override; - void insertDefault() override; + bool isDefaultAt(size_t n) const override; + StringRef getDataAt(size_t n) const override; + void insertData(const char * pos, size_t length) override; + void insert(const Field & x) override; + bool tryInsert(const Field & x) override; #if !defined(DEBUG_OR_SANITIZER_BUILD) void insertFrom(const IColumn & src, size_t n) override; void insertRangeFrom(const IColumn & src, size_t start, size_t length) override; @@ -218,24 +119,31 @@ public: void doInsertFrom(const IColumn & src, size_t n) override; void doInsertRangeFrom(const IColumn & src, size_t start, size_t length) override; #endif + /// TODO: implement more optimal insertManyFrom + void insertDefault() override; + void insertManyDefaults(size_t length) override; - void popBack(size_t length) override; - Field operator[](size_t n) const override; - void get(size_t n, Field & res) const override; + void popBack(size_t n) override; + StringRef serializeValueIntoArena(size_t n, Arena & arena, char const *& begin) const override; + const char * deserializeAndInsertFromArena(const char * pos) override; + const char * skipSerializedInArena(const char * pos) const override; + + void updateHashWithValue(size_t n, SipHash & hash) const override; + WeakHash32 getWeakHash32() const override; + void updateHashFast(SipHash & hash) const override; + + ColumnPtr filter(const Filter & filt, ssize_t result_size_hint) const override; + void expand(const Filter & mask, bool inverted) override; ColumnPtr permute(const Permutation & perm, size_t limit) const override; - ColumnPtr filter(const Filter & filter, ssize_t result_size_hint) const override; ColumnPtr index(const IColumn & indexes, size_t limit) const override; - ColumnPtr replicate(const Offsets & offsets) const override; - MutableColumnPtr cloneResized(size_t new_size) const override; + ColumnPtr replicate(const Offsets & replicate_offsets) const override; + MutableColumns scatter(ColumnIndex num_columns, const Selector & selector) const override; - /// Finalizes all subcolumns. - void finalize() override; - bool isFinalized() const override; - - /// Order of rows in ColumnObject is undefined. - void getPermutation(PermutationSortDirection, PermutationSortStability, size_t, int, Permutation & res) const override; + void getPermutation(PermutationSortDirection, PermutationSortStability, size_t, int, Permutation &) const override; void updatePermutation(PermutationSortDirection, PermutationSortStability, size_t, int, Permutation &, EqualRanges &) const override {} + + /// Values of ColumnObject are not comparable. #if !defined(DEBUG_OR_SANITIZER_BUILD) int compareAt(size_t, size_t, const IColumn &, int) const override { return 0; } #else @@ -243,35 +151,118 @@ public: #endif void getExtremes(Field & min, Field & max) const override; - /// All other methods throw exception. + void reserve(size_t n) override; + size_t capacity() const override; + void prepareForSquashing(const std::vector & source_columns) override; + void ensureOwnership() override; + size_t byteSize() const override; + size_t byteSizeAt(size_t n) const override; + size_t allocatedBytes() const override; + void protect() override; - StringRef getDataAt(size_t) const override { throwMustBeConcrete(); } - bool isDefaultAt(size_t) const override { throwMustBeConcrete(); } - void insertData(const char *, size_t) override { throwMustBeConcrete(); } - StringRef serializeValueIntoArena(size_t, Arena &, char const *&) const override { throwMustBeConcrete(); } - char * serializeValueIntoMemory(size_t, char *) const override { throwMustBeConcrete(); } - const char * deserializeAndInsertFromArena(const char *) override { throwMustBeConcrete(); } - const char * skipSerializedInArena(const char *) const override { throwMustBeConcrete(); } - void updateHashWithValue(size_t, SipHash &) const override { throwMustBeConcrete(); } - WeakHash32 getWeakHash32() const override { throwMustBeConcrete(); } - void updateHashFast(SipHash & hash) const override; - void expand(const Filter &, bool) override { throwMustBeConcrete(); } - bool hasEqualValues() const override { throwMustBeConcrete(); } - size_t byteSizeAt(size_t) const override { throwMustBeConcrete(); } - double getRatioOfDefaultRows(double) const override { throwMustBeConcrete(); } - UInt64 getNumberOfDefaultRows() const override { throwMustBeConcrete(); } - void getIndicesOfNonDefaultRows(Offsets &, size_t, size_t) const override { throwMustBeConcrete(); } + void forEachSubcolumn(MutableColumnCallback callback) override; -private: - [[noreturn]] static void throwMustBeConcrete() + void forEachSubcolumnRecursively(RecursiveMutableColumnCallback callback) override; + + bool structureEquals(const IColumn & rhs) const override; + + ColumnPtr compress() const override; + + void finalize() override; + bool isFinalized() const override; + + bool hasDynamicStructure() const override { return true; } + void takeDynamicStructureFromSourceColumns(const Columns & source_columns) override; + + const PathToColumnMap & getTypedPaths() const { return typed_paths; } + PathToColumnMap & getTypedPaths() { return typed_paths; } + + const PathToColumnMap & getDynamicPaths() const { return dynamic_paths; } + PathToColumnMap & getDynamicPaths() { return dynamic_paths; } + + const PathToDynamicColumnPtrMap & getDynamicPathsPtrs() const { return dynamic_paths_ptrs; } + PathToDynamicColumnPtrMap & getDynamicPathsPtrs() { return dynamic_paths_ptrs; } + + const StatisticsPtr & getStatistics() const { return statistics; } + + const ColumnPtr & getSharedDataPtr() const { return shared_data; } + ColumnPtr & getSharedDataPtr() { return shared_data; } + IColumn & getSharedDataColumn() { return *shared_data; } + + const ColumnArray & getSharedDataNestedColumn() const { return assert_cast(*shared_data); } + ColumnArray & getSharedDataNestedColumn() { return assert_cast(*shared_data); } + + ColumnArray::Offsets & getSharedDataOffsets() { return assert_cast(*shared_data).getOffsets(); } + const ColumnArray::Offsets & getSharedDataOffsets() const { return assert_cast(*shared_data).getOffsets(); } + + std::pair getSharedDataPathsAndValues() { - throw Exception(ErrorCodes::NOT_IMPLEMENTED, "ColumnObject must be converted to ColumnTuple before use"); + auto & column_array = assert_cast(*shared_data); + auto & column_tuple = assert_cast(column_array.getData()); + return {assert_cast(&column_tuple.getColumn(0)), assert_cast(&column_tuple.getColumn(1))}; } - template - MutableColumnPtr applyForSubcolumns(Func && func) const; + std::pair getSharedDataPathsAndValues() const + { + const auto & column_array = assert_cast(*shared_data); + const auto & column_tuple = assert_cast(column_array.getData()); + return {assert_cast(&column_tuple.getColumn(0)), assert_cast(&column_tuple.getColumn(1))}; + } - /// It's used to get shared sized of Nested to insert correct default values. - const Subcolumns::Node * getLeafOfTheSameNested(const Subcolumns::NodePtr & entry) const; + size_t getMaxDynamicTypes() const { return max_dynamic_types; } + size_t getMaxDynamicPaths() const { return max_dynamic_paths; } + size_t getGlobalMaxDynamicPaths() const { return global_max_dynamic_paths; } + + /// Try to add new dynamic path. Returns pointer to the new dynamic + /// path column or nullptr if limit on dynamic paths is reached. + ColumnDynamic * tryToAddNewDynamicPath(std::string_view path); + /// Throws an exception if cannot add. + void addNewDynamicPath(std::string_view path); + + void setDynamicPaths(const std::vector & paths); + void setMaxDynamicPaths(size_t max_dynamic_paths_); + void setStatistics(const StatisticsPtr & statistics_) { statistics = statistics_; } + + void serializePathAndValueIntoSharedData(ColumnString * shared_data_paths, ColumnString * shared_data_values, std::string_view path, const IColumn & column, size_t n); + void deserializeValueFromSharedData(const ColumnString * shared_data_values, size_t n, IColumn & column) const; + + /// Paths in shared data are sorted in each row. Use this method to find the lower bound for specific path in the row. + static size_t findPathLowerBoundInSharedData(StringRef path, const ColumnString & shared_data_paths, size_t start, size_t end); + /// Insert all the data from shared data with specified path to dynamic column. + static void fillPathColumnFromSharedData(IColumn & path_column, StringRef path, const ColumnPtr & shared_data_column, size_t start, size_t end); + +private: + void insertFromSharedDataAndFillRemainingDynamicPaths(const ColumnObject & src_object_column, std::vector && src_dynamic_paths_for_shared_data, size_t start, size_t length); + void serializePathAndValueIntoArena(Arena & arena, const char *& begin, StringRef path, StringRef value, StringRef & res) const; + + /// Map path -> column for paths with explicitly specified types. + /// This set of paths is constant and cannot be changed. + PathToColumnMap typed_paths; + /// Map path -> column for dynamically added paths. All columns + /// here are Dynamic columns. This set of paths can be extended + /// during inerts into the column. + PathToColumnMap dynamic_paths; + /// Store and use pointers to ColumnDynamic to avoid virtual calls. + /// With hundreds of dynamic paths these virtual calls are noticeable. + PathToDynamicColumnPtrMap dynamic_paths_ptrs; + /// Shared storage for all other paths and values. It's filled + /// when the number of dynamic paths reaches the limit. + /// It has type Array(Tuple(String, String)) and stores + /// an array of pairs (path, binary serialized dynamic value) for each row. + WrappedPtr shared_data; + + /// Maximum number of dynamic paths. If this limit is reached, all new paths will be inserted into shared data. + /// This limit can be different for different instances of Object column. For example, we can decrease it + /// in takeDynamicStructureFromSourceColumns before merge. + size_t max_dynamic_paths; + /// Global limit on number of dynamic paths for all column instances of this Object type. It's the limit specified + /// in the type definition (for example 'JSON(max_dynamic_paths=N)'). max_dynamic_paths is always not greater than this limit. + size_t global_max_dynamic_paths; + /// Maximum number of dynamic types for each dynamic path. Used while creating Dynamic columns for new dynamic paths. + size_t max_dynamic_types; + /// Statistics on the number of non-null values for each dynamic path and for some shared data paths in the MergeTree data part. + /// Calculated during serializing of data part in MergeTree. Used to determine the set of dynamic paths for the merged part. + StatisticsPtr statistics; }; + } diff --git a/src/Columns/ColumnObjectDeprecated.cpp b/src/Columns/ColumnObjectDeprecated.cpp new file mode 100644 index 00000000000..d03b1d0df82 --- /dev/null +++ b/src/Columns/ColumnObjectDeprecated.cpp @@ -0,0 +1,1111 @@ +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace DB +{ + +namespace ErrorCodes +{ + extern const int ARGUMENT_OUT_OF_BOUND; + extern const int DUPLICATE_COLUMN; + extern const int EXPERIMENTAL_FEATURE_ERROR; + extern const int ILLEGAL_COLUMN; + extern const int NUMBER_OF_DIMENSIONS_MISMATCHED; + extern const int SIZES_OF_COLUMNS_DOESNT_MATCH; +} + +namespace +{ + +/// Recreates column with default scalar values and keeps sizes of arrays. +ColumnPtr recreateColumnWithDefaultValues( + const ColumnPtr & column, const DataTypePtr & scalar_type, size_t num_dimensions) +{ + const auto * column_array = checkAndGetColumn(column.get()); + if (column_array && num_dimensions) + { + return ColumnArray::create( + recreateColumnWithDefaultValues( + column_array->getDataPtr(), scalar_type, num_dimensions - 1), + IColumn::mutate(column_array->getOffsetsPtr())); + } + + return createArrayOfType(scalar_type, num_dimensions)->createColumn()->cloneResized(column->size()); +} + +/// Replaces NULL fields to given field or empty array. +class FieldVisitorReplaceNull : public StaticVisitor +{ +public: + explicit FieldVisitorReplaceNull( + const Field & replacement_, size_t num_dimensions_) + : replacement(replacement_) + , num_dimensions(num_dimensions_) + { + } + + Field operator()(const Null &) const + { + return num_dimensions ? Array() : replacement; + } + + Field operator()(const Array & x) const + { + assert(num_dimensions > 0); + const size_t size = x.size(); + Array res(size); + for (size_t i = 0; i < size; ++i) + res[i] = applyVisitor(FieldVisitorReplaceNull(replacement, num_dimensions - 1), x[i]); + return res; + } + + template + Field operator()(const T & x) const { return x; } + +private: + const Field & replacement; + size_t num_dimensions; +}; + +/// Visitor that allows to get type of scalar field +/// or least common type of scalars in array. +/// More optimized version of FieldToDataType. +class FieldVisitorToScalarType : public StaticVisitor<> +{ +public: + using FieldType = Field::Types::Which; + + void operator()(const Array & x) + { + size_t size = x.size(); + for (size_t i = 0; i < size; ++i) + applyVisitor(*this, x[i]); + } + + void operator()(const UInt64 & x) + { + field_types.insert(FieldType::UInt64); + if (x <= std::numeric_limits::max()) + type_indexes.insert(TypeIndex::UInt8); + else if (x <= std::numeric_limits::max()) + type_indexes.insert(TypeIndex::UInt16); + else if (x <= std::numeric_limits::max()) + type_indexes.insert(TypeIndex::UInt32); + else + type_indexes.insert(TypeIndex::UInt64); + } + + void operator()(const Int64 & x) + { + field_types.insert(FieldType::Int64); + if (x <= std::numeric_limits::max() && x >= std::numeric_limits::min()) + type_indexes.insert(TypeIndex::Int8); + else if (x <= std::numeric_limits::max() && x >= std::numeric_limits::min()) + type_indexes.insert(TypeIndex::Int16); + else if (x <= std::numeric_limits::max() && x >= std::numeric_limits::min()) + type_indexes.insert(TypeIndex::Int32); + else + type_indexes.insert(TypeIndex::Int64); + } + + void operator()(const bool &) + { + field_types.insert(FieldType::UInt64); + type_indexes.insert(TypeIndex::UInt8); + } + + void operator()(const Null &) + { + have_nulls = true; + } + + template + void operator()(const T &) + { + field_types.insert(Field::TypeToEnum>::value); + type_indexes.insert(TypeToTypeIndex>); + } + + DataTypePtr getScalarType() const { return getLeastSupertypeOrString(type_indexes); } + bool haveNulls() const { return have_nulls; } + bool needConvertField() const { return field_types.size() > 1; } + +private: + TypeIndexSet type_indexes; + std::unordered_set field_types; + bool have_nulls = false; +}; + +} + +FieldInfo getFieldInfo(const Field & field) +{ + FieldVisitorToScalarType to_scalar_type_visitor; + applyVisitor(to_scalar_type_visitor, field); + FieldVisitorToNumberOfDimensions to_number_dimension_visitor; + + return + { + to_scalar_type_visitor.getScalarType(), + to_scalar_type_visitor.haveNulls(), + to_scalar_type_visitor.needConvertField(), + applyVisitor(to_number_dimension_visitor, field), + to_number_dimension_visitor.need_fold_dimension + }; +} + +ColumnObjectDeprecated::Subcolumn::Subcolumn(MutableColumnPtr && data_, bool is_nullable_) + : least_common_type(getDataTypeByColumn(*data_)) + , is_nullable(is_nullable_) + , num_rows(data_->size()) +{ + data.push_back(std::move(data_)); +} + +ColumnObjectDeprecated::Subcolumn::Subcolumn( + size_t size_, bool is_nullable_) + : least_common_type(std::make_shared()) + , is_nullable(is_nullable_) + , num_of_defaults_in_prefix(size_) + , num_rows(size_) +{ +} + +size_t ColumnObjectDeprecated::Subcolumn::size() const +{ + return num_rows; +} + +size_t ColumnObjectDeprecated::Subcolumn::byteSize() const +{ + size_t res = 0; + for (const auto & part : data) + res += part->byteSize(); + return res; +} + +size_t ColumnObjectDeprecated::Subcolumn::allocatedBytes() const +{ + size_t res = 0; + for (const auto & part : data) + res += part->allocatedBytes(); + return res; +} + +void ColumnObjectDeprecated::Subcolumn::get(size_t n, Field & res) const +{ + if (isFinalized()) + { + getFinalizedColumn().get(n, res); + return; + } + + size_t ind = n; + if (ind < num_of_defaults_in_prefix) + { + res = least_common_type.get()->getDefault(); + return; + } + + ind -= num_of_defaults_in_prefix; + for (const auto & part : data) + { + if (ind < part->size()) + { + part->get(ind, res); + res = convertFieldToTypeOrThrow(res, *least_common_type.get()); + return; + } + + ind -= part->size(); + } + + throw Exception(ErrorCodes::ARGUMENT_OUT_OF_BOUND, "Index ({}) for getting field is out of range", n); +} + +void ColumnObjectDeprecated::Subcolumn::checkTypes() const +{ + DataTypes prefix_types; + prefix_types.reserve(data.size()); + for (size_t i = 0; i < data.size(); ++i) + { + auto current_type = getDataTypeByColumn(*data[i]); + prefix_types.push_back(current_type); + auto prefix_common_type = getLeastSupertype(prefix_types); + if (!prefix_common_type->equals(*current_type)) + throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, + "Data type {} of column at position {} cannot represent all columns from i-th prefix", + current_type->getName(), i); + } +} + +void ColumnObjectDeprecated::Subcolumn::insert(Field field) +{ + auto info = DB::getFieldInfo(field); + insert(std::move(field), std::move(info)); +} + +void ColumnObjectDeprecated::Subcolumn::addNewColumnPart(DataTypePtr type) +{ + auto serialization = type->getSerialization(ISerialization::Kind::SPARSE); + data.push_back(type->createColumn(*serialization)); + least_common_type = LeastCommonType{std::move(type)}; +} + +static bool isConversionRequiredBetweenIntegers(const IDataType & lhs, const IDataType & rhs) +{ + /// If both of types are signed/unsigned integers and size of left field type + /// is less than right type, we don't need to convert field, + /// because all integer fields are stored in Int64/UInt64. + + WhichDataType which_lhs(lhs); + WhichDataType which_rhs(rhs); + + bool is_native_int = which_lhs.isNativeInt() && which_rhs.isNativeInt(); + bool is_native_uint = which_lhs.isNativeUInt() && which_rhs.isNativeUInt(); + + return (!is_native_int && !is_native_uint) + || lhs.getSizeOfValueInMemory() > rhs.getSizeOfValueInMemory(); +} + +void ColumnObjectDeprecated::Subcolumn::insert(Field field, FieldInfo info) +{ + auto base_type = std::move(info.scalar_type); + + if (isNothing(base_type) && info.num_dimensions == 0) + { + insertDefault(); + return; + } + + auto column_dim = least_common_type.getNumberOfDimensions(); + auto value_dim = info.num_dimensions; + + if (isNothing(least_common_type.get())) + column_dim = value_dim; + + if (isNothing(base_type)) + value_dim = column_dim; + + if (value_dim != column_dim) + throw Exception(ErrorCodes::NUMBER_OF_DIMENSIONS_MISMATCHED, + "Dimension of types mismatched between inserted value and column. " + "Dimension of value: {}. Dimension of column: {}", + value_dim, column_dim); + + if (is_nullable) + base_type = makeNullable(base_type); + + if (!is_nullable && info.have_nulls) + field = applyVisitor(FieldVisitorReplaceNull(base_type->getDefault(), value_dim), std::move(field)); + + bool type_changed = false; + const auto & least_common_base_type = least_common_type.getBase(); + + if (data.empty()) + { + addNewColumnPart(createArrayOfType(std::move(base_type), value_dim)); + } + else if (!least_common_base_type->equals(*base_type) && !isNothing(base_type)) + { + if (isConversionRequiredBetweenIntegers(*base_type, *least_common_base_type)) + { + base_type = getLeastSupertypeOrString(DataTypes{std::move(base_type), least_common_base_type}); + type_changed = true; + if (!least_common_base_type->equals(*base_type)) + addNewColumnPart(createArrayOfType(std::move(base_type), value_dim)); + } + } + + if (type_changed || info.need_convert) + field = convertFieldToTypeOrThrow(field, *least_common_type.get()); + + if (!data.back()->tryInsert(field)) + { + /** Normalization of the field above is pretty complicated (it uses several FieldVisitors), + * so in the case of a bug, we may get mismatched types. + * The `IColumn::insert` method does not check the type of the inserted field, and it can lead to a segmentation fault. + * Therefore, we use the safer `tryInsert` method to get an exception instead of a segmentation fault. + */ + throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, + "Cannot insert field {} to column {}", + field.dump(), data.back()->dumpStructure()); + } + + ++num_rows; +} + +void ColumnObjectDeprecated::Subcolumn::insertRangeFrom(const Subcolumn & src, size_t start, size_t length) +{ + assert(start + length <= src.size()); + size_t end = start + length; + num_rows += length; + + if (data.empty()) + { + addNewColumnPart(src.getLeastCommonType()); + } + else if (!least_common_type.get()->equals(*src.getLeastCommonType())) + { + auto new_least_common_type = getLeastSupertypeOrString(DataTypes{least_common_type.get(), src.getLeastCommonType()}); + if (!new_least_common_type->equals(*least_common_type.get())) + addNewColumnPart(std::move(new_least_common_type)); + } + + if (end <= src.num_of_defaults_in_prefix) + { + data.back()->insertManyDefaults(length); + return; + } + + if (start < src.num_of_defaults_in_prefix) + data.back()->insertManyDefaults(src.num_of_defaults_in_prefix - start); + + auto insert_from_part = [&](const auto & column, size_t from, size_t n) + { + assert(from + n <= column->size()); + auto column_type = getDataTypeByColumn(*column); + + if (column_type->equals(*least_common_type.get())) + { + data.back()->insertRangeFrom(*column, from, n); + return; + } + + /// If we need to insert large range, there is no sense to cut part of column and cast it. + /// Casting of all column and inserting from it can be faster. + /// Threshold is just a guess. + + if (n * 3 >= column->size()) + { + auto casted_column = castColumn({column, column_type, ""}, least_common_type.get()); + data.back()->insertRangeFrom(*casted_column, from, n); + return; + } + + auto casted_column = column->cut(from, n); + casted_column = castColumn({casted_column, column_type, ""}, least_common_type.get()); + data.back()->insertRangeFrom(*casted_column, 0, n); + }; + + size_t pos = 0; + size_t processed_rows = src.num_of_defaults_in_prefix; + + /// Find the first part of the column that intersects the range. + while (pos < src.data.size() && processed_rows + src.data[pos]->size() < start) + { + processed_rows += src.data[pos]->size(); + ++pos; + } + + /// Insert from the first part of column. + if (pos < src.data.size() && processed_rows < start) + { + size_t part_start = start - processed_rows; + size_t part_length = std::min(src.data[pos]->size() - part_start, end - start); + insert_from_part(src.data[pos], part_start, part_length); + processed_rows += src.data[pos]->size(); + ++pos; + } + + /// Insert from the parts of column in the middle of range. + while (pos < src.data.size() && processed_rows + src.data[pos]->size() < end) + { + insert_from_part(src.data[pos], 0, src.data[pos]->size()); + processed_rows += src.data[pos]->size(); + ++pos; + } + + /// Insert from the last part of column if needed. + if (pos < src.data.size() && processed_rows < end) + { + size_t part_end = end - processed_rows; + insert_from_part(src.data[pos], 0, part_end); + } +} + +bool ColumnObjectDeprecated::Subcolumn::isFinalized() const +{ + return num_of_defaults_in_prefix == 0 && + (data.empty() || (data.size() == 1 && !data[0]->isSparse())); +} + +void ColumnObjectDeprecated::Subcolumn::finalize() +{ + if (isFinalized()) + return; + + if (data.size() == 1 && num_of_defaults_in_prefix == 0) + { + data[0] = data[0]->convertToFullColumnIfSparse(); + return; + } + + const auto & to_type = least_common_type.get(); + auto result_column = to_type->createColumn(); + + if (num_of_defaults_in_prefix) + result_column->insertManyDefaults(num_of_defaults_in_prefix); + + for (auto & part : data) + { + part = part->convertToFullColumnIfSparse(); + auto from_type = getDataTypeByColumn(*part); + size_t part_size = part->size(); + + if (!from_type->equals(*to_type)) + { + auto offsets = ColumnUInt64::create(); + auto & offsets_data = offsets->getData(); + + /// We need to convert only non-default values and then recreate column + /// with default value of new type, because default values (which represents misses in data) + /// may be inconsistent between types (e.g "0" in UInt64 and empty string in String). + + part->getIndicesOfNonDefaultRows(offsets_data, 0, part_size); + + if (offsets->size() == part_size) + { + part = castColumn({part, from_type, ""}, to_type); + } + else + { + auto values = part->index(*offsets, offsets->size()); + values = castColumn({values, from_type, ""}, to_type); + part = values->createWithOffsets(offsets_data, *createColumnConstWithDefaultValue(result_column->getPtr()), part_size, /*shift=*/ 0); + } + } + + result_column->insertRangeFrom(*part, 0, part_size); + } + + data = { std::move(result_column) }; + num_of_defaults_in_prefix = 0; +} + +void ColumnObjectDeprecated::Subcolumn::insertDefault() +{ + if (data.empty()) + ++num_of_defaults_in_prefix; + else + data.back()->insertDefault(); + + ++num_rows; +} + +void ColumnObjectDeprecated::Subcolumn::insertManyDefaults(size_t length) +{ + if (data.empty()) + num_of_defaults_in_prefix += length; + else + data.back()->insertManyDefaults(length); + + num_rows += length; +} + +void ColumnObjectDeprecated::Subcolumn::popBack(size_t n) +{ + assert(n <= size()); + + num_rows -= n; + size_t num_removed = 0; + for (auto it = data.rbegin(); it != data.rend(); ++it) + { + if (n == 0) + break; + + auto & column = *it; + if (n < column->size()) + { + column->popBack(n); + n = 0; + } + else + { + ++num_removed; + n -= column->size(); + } + } + + data.resize(data.size() - num_removed); + num_of_defaults_in_prefix -= n; +} + +ColumnObjectDeprecated::Subcolumn ColumnObjectDeprecated::Subcolumn::cut(size_t start, size_t length) const +{ + Subcolumn new_subcolumn(0, is_nullable); + new_subcolumn.insertRangeFrom(*this, start, length); + return new_subcolumn; +} + +Field ColumnObjectDeprecated::Subcolumn::getLastField() const +{ + if (data.empty()) + return Field(); + + const auto & last_part = data.back(); + assert(!last_part->empty()); + return (*last_part)[last_part->size() - 1]; +} + +FieldInfo ColumnObjectDeprecated::Subcolumn::getFieldInfo() const +{ + const auto & base_type = least_common_type.getBase(); + return FieldInfo + { + .scalar_type = base_type, + .have_nulls = base_type->isNullable(), + .need_convert = false, + .num_dimensions = least_common_type.getNumberOfDimensions(), + .need_fold_dimension = false, + }; +} + +ColumnObjectDeprecated::Subcolumn ColumnObjectDeprecated::Subcolumn::recreateWithDefaultValues(const FieldInfo & field_info) const +{ + auto scalar_type = field_info.scalar_type; + if (is_nullable) + scalar_type = makeNullable(scalar_type); + + Subcolumn new_subcolumn(*this); + new_subcolumn.least_common_type = LeastCommonType{createArrayOfType(scalar_type, field_info.num_dimensions)}; + + for (auto & part : new_subcolumn.data) + part = recreateColumnWithDefaultValues(part, scalar_type, field_info.num_dimensions); + + return new_subcolumn; +} + +IColumn & ColumnObjectDeprecated::Subcolumn::getFinalizedColumn() +{ + assert(isFinalized()); + return *data[0]; +} + +const IColumn & ColumnObjectDeprecated::Subcolumn::getFinalizedColumn() const +{ + assert(isFinalized()); + return *data[0]; +} + +const ColumnPtr & ColumnObjectDeprecated::Subcolumn::getFinalizedColumnPtr() const +{ + assert(isFinalized()); + return data[0]; +} + +ColumnObjectDeprecated::Subcolumn::LeastCommonType::LeastCommonType() + : type(std::make_shared()) + , base_type(type) + , num_dimensions(0) +{ +} + +ColumnObjectDeprecated::Subcolumn::LeastCommonType::LeastCommonType(DataTypePtr type_) + : type(std::move(type_)) + , base_type(getBaseTypeOfArray(type)) + , num_dimensions(DB::getNumberOfDimensions(*type)) +{ +} + +ColumnObjectDeprecated::ColumnObjectDeprecated(bool is_nullable_) + : is_nullable(is_nullable_) + , num_rows(0) +{ +} + +ColumnObjectDeprecated::ColumnObjectDeprecated(Subcolumns && subcolumns_, bool is_nullable_) + : is_nullable(is_nullable_) + , subcolumns(std::move(subcolumns_)) + , num_rows(subcolumns.empty() ? 0 : (*subcolumns.begin())->data.size()) + +{ + checkConsistency(); +} + +void ColumnObjectDeprecated::checkConsistency() const +{ + if (subcolumns.empty()) + return; + + for (const auto & leaf : subcolumns) + { + if (num_rows != leaf->data.size()) + { + throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, "Sizes of subcolumns are inconsistent in ColumnObjectDeprecated." + " Subcolumn '{}' has {} rows, but expected size is {}", + leaf->path.getPath(), leaf->data.size(), num_rows); + } + } +} + +size_t ColumnObjectDeprecated::size() const +{ +#ifndef NDEBUG + checkConsistency(); +#endif + return num_rows; +} + +size_t ColumnObjectDeprecated::byteSize() const +{ + size_t res = 0; + for (const auto & entry : subcolumns) + res += entry->data.byteSize(); + return res; +} + +size_t ColumnObjectDeprecated::allocatedBytes() const +{ + size_t res = 0; + for (const auto & entry : subcolumns) + res += entry->data.allocatedBytes(); + return res; +} + +void ColumnObjectDeprecated::forEachSubcolumn(MutableColumnCallback callback) +{ + for (auto & entry : subcolumns) + for (auto & part : entry->data.data) + callback(part); +} + +void ColumnObjectDeprecated::forEachSubcolumnRecursively(RecursiveMutableColumnCallback callback) +{ + for (auto & entry : subcolumns) + { + for (auto & part : entry->data.data) + { + callback(*part); + part->forEachSubcolumnRecursively(callback); + } + } +} + +void ColumnObjectDeprecated::insert(const Field & field) +{ + const auto & object = field.safeGet(); + + HashSet inserted_paths; + size_t old_size = size(); + for (const auto & [key_str, value] : object) + { + PathInData key(key_str); + inserted_paths.insert(key_str); + if (!hasSubcolumn(key)) + addSubcolumn(key, old_size); + + auto & subcolumn = getSubcolumn(key); + subcolumn.insert(value); + } + + for (auto & entry : subcolumns) + { + if (!inserted_paths.has(entry->path.getPath())) + { + bool inserted = tryInsertDefaultFromNested(entry); + if (!inserted) + entry->data.insertDefault(); + } + } + + ++num_rows; +} + +bool ColumnObjectDeprecated::tryInsert(const Field & field) +{ + if (field.getType() != Field::Types::Which::Object) + return false; + + insert(field); + return true; +} + +void ColumnObjectDeprecated::insertDefault() +{ + for (auto & entry : subcolumns) + entry->data.insertDefault(); + + ++num_rows; +} + +Field ColumnObjectDeprecated::operator[](size_t n) const +{ + Field object; + get(n, object); + return object; +} + +void ColumnObjectDeprecated::get(size_t n, Field & res) const +{ + assert(n < size()); + res = Object(); + auto & object = res.safeGet(); + + for (const auto & entry : subcolumns) + { + auto it = object.try_emplace(entry->path.getPath()).first; + entry->data.get(n, it->second); + } +} + +#if !defined(DEBUG_OR_SANITIZER_BUILD) +void ColumnObjectDeprecated::insertFrom(const IColumn & src, size_t n) +#else +void ColumnObjectDeprecated::doInsertFrom(const IColumn & src, size_t n) +#endif +{ + insert(src[n]); +} + +#if !defined(DEBUG_OR_SANITIZER_BUILD) +void ColumnObjectDeprecated::insertRangeFrom(const IColumn & src, size_t start, size_t length) +#else +void ColumnObjectDeprecated::doInsertRangeFrom(const IColumn & src, size_t start, size_t length) +#endif +{ + const auto & src_object = assert_cast(src); + + for (const auto & entry : src_object.subcolumns) + { + if (!hasSubcolumn(entry->path)) + { + if (entry->path.hasNested()) + addNestedSubcolumn(entry->path, entry->data.getFieldInfo(), num_rows); + else + addSubcolumn(entry->path, num_rows); + } + + auto & subcolumn = getSubcolumn(entry->path); + subcolumn.insertRangeFrom(entry->data, start, length); + } + + for (auto & entry : subcolumns) + { + if (!src_object.hasSubcolumn(entry->path)) + { + bool inserted = tryInsertManyDefaultsFromNested(entry); + if (!inserted) + entry->data.insertManyDefaults(length); + } + } + + num_rows += length; + finalize(); +} + +void ColumnObjectDeprecated::popBack(size_t length) +{ + for (auto & entry : subcolumns) + entry->data.popBack(length); + + num_rows -= length; +} + +template +MutableColumnPtr ColumnObjectDeprecated::applyForSubcolumns(Func && func) const +{ + if (!isFinalized()) + { + auto finalized = cloneFinalized(); + auto & finalized_object = assert_cast(*finalized); + return finalized_object.applyForSubcolumns(std::forward(func)); + } + + auto res = ColumnObjectDeprecated::create(is_nullable); + for (const auto & subcolumn : subcolumns) + { + auto new_subcolumn = func(subcolumn->data.getFinalizedColumn()); + res->addSubcolumn(subcolumn->path, new_subcolumn->assumeMutable()); + } + + return res; +} + +ColumnPtr ColumnObjectDeprecated::permute(const Permutation & perm, size_t limit) const +{ + return applyForSubcolumns([&](const auto & subcolumn) { return subcolumn.permute(perm, limit); }); +} + +ColumnPtr ColumnObjectDeprecated::filter(const Filter & filter, ssize_t result_size_hint) const +{ + return applyForSubcolumns([&](const auto & subcolumn) { return subcolumn.filter(filter, result_size_hint); }); +} + +ColumnPtr ColumnObjectDeprecated::index(const IColumn & indexes, size_t limit) const +{ + return applyForSubcolumns([&](const auto & subcolumn) { return subcolumn.index(indexes, limit); }); +} + +ColumnPtr ColumnObjectDeprecated::replicate(const Offsets & offsets) const +{ + return applyForSubcolumns([&](const auto & subcolumn) { return subcolumn.replicate(offsets); }); +} + +MutableColumnPtr ColumnObjectDeprecated::cloneResized(size_t new_size) const +{ + if (new_size == 0) + return ColumnObjectDeprecated::create(is_nullable); + + return applyForSubcolumns([&](const auto & subcolumn) { return subcolumn.cloneResized(new_size); }); +} + +void ColumnObjectDeprecated::getPermutation(PermutationSortDirection, PermutationSortStability, size_t, int, Permutation & res) const +{ + res.resize(num_rows); + iota(res.data(), res.size(), size_t(0)); +} + +void ColumnObjectDeprecated::getExtremes(Field & min, Field & max) const +{ + if (num_rows == 0) + { + min = Object(); + max = Object(); + } + else + { + get(0, min); + get(0, max); + } +} + +const ColumnObjectDeprecated::Subcolumn & ColumnObjectDeprecated::getSubcolumn(const PathInData & key) const +{ + if (const auto * node = subcolumns.findLeaf(key)) + return node->data; + + throw Exception(ErrorCodes::ILLEGAL_COLUMN, "There is no subcolumn {} in ColumnObjectDeprecated", key.getPath()); +} + +ColumnObjectDeprecated::Subcolumn & ColumnObjectDeprecated::getSubcolumn(const PathInData & key) +{ + if (const auto * node = subcolumns.findLeaf(key)) + return const_cast(node)->data; + + throw Exception(ErrorCodes::ILLEGAL_COLUMN, "There is no subcolumn {} in ColumnObjectDeprecated", key.getPath()); +} + +bool ColumnObjectDeprecated::hasSubcolumn(const PathInData & key) const +{ + return subcolumns.findLeaf(key) != nullptr; +} + +void ColumnObjectDeprecated::addSubcolumn(const PathInData & key, MutableColumnPtr && subcolumn) +{ + size_t new_size = subcolumn->size(); + bool inserted = subcolumns.add(key, Subcolumn(std::move(subcolumn), is_nullable)); + + if (!inserted) + throw Exception(ErrorCodes::DUPLICATE_COLUMN, "Subcolumn '{}' already exists", key.getPath()); + + if (num_rows == 0) + num_rows = new_size; + else if (new_size != num_rows) + throw Exception(ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH, + "Size of subcolumn {} ({}) is inconsistent with column size ({})", + key.getPath(), new_size, num_rows); +} + +void ColumnObjectDeprecated::addSubcolumn(const PathInData & key, size_t new_size) +{ + bool inserted = subcolumns.add(key, Subcolumn(new_size, is_nullable)); + if (!inserted) + throw Exception(ErrorCodes::DUPLICATE_COLUMN, "Subcolumn '{}' already exists", key.getPath()); + + if (num_rows == 0) + num_rows = new_size; + else if (new_size != num_rows) + throw Exception(ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH, + "Required size of subcolumn {} ({}) is inconsistent with column size ({})", + key.getPath(), new_size, num_rows); +} + +void ColumnObjectDeprecated::addNestedSubcolumn(const PathInData & key, const FieldInfo & field_info, size_t new_size) +{ + if (!key.hasNested()) + throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, + "Cannot add Nested subcolumn, because path doesn't contain Nested"); + + bool inserted = false; + /// We find node that represents the same Nested type as @key. + const auto * nested_node = subcolumns.findBestMatch(key); + + if (nested_node) + { + /// Find any leaf of Nested subcolumn. + const auto * leaf = Subcolumns::findLeaf(nested_node, [&](const auto &) { return true; }); + assert(leaf); + + /// Recreate subcolumn with default values and the same sizes of arrays. + auto new_subcolumn = leaf->data.recreateWithDefaultValues(field_info); + + /// It's possible that we have already inserted value from current row + /// to this subcolumn. So, adjust size to expected. + if (new_subcolumn.size() > new_size) + new_subcolumn.popBack(new_subcolumn.size() - new_size); + + assert(new_subcolumn.size() == new_size); + inserted = subcolumns.add(key, new_subcolumn); + } + else + { + /// If node was not found just add subcolumn with empty arrays. + inserted = subcolumns.add(key, Subcolumn(new_size, is_nullable)); + } + + if (!inserted) + throw Exception(ErrorCodes::DUPLICATE_COLUMN, "Subcolumn '{}' already exists", key.getPath()); + + if (num_rows == 0) + num_rows = new_size; + else if (new_size != num_rows) + throw Exception(ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH, + "Required size of subcolumn {} ({}) is inconsistent with column size ({})", + key.getPath(), new_size, num_rows); +} + +const ColumnObjectDeprecated::Subcolumns::Node * ColumnObjectDeprecated::getLeafOfTheSameNested(const Subcolumns::NodePtr & entry) const +{ + if (!entry->path.hasNested()) + return nullptr; + + size_t old_size = entry->data.size(); + const auto * current_node = subcolumns.findLeaf(entry->path); + const Subcolumns::Node * leaf = nullptr; + + while (current_node) + { + /// Try to find the first Nested up to the current node. + const auto * node_nested = Subcolumns::findParent(current_node, + [](const auto & candidate) { return candidate.isNested(); }); + + if (!node_nested) + break; + + /// Find the leaf with subcolumn that contains values + /// for the last rows. + /// If there are no leaves, skip current node and find + /// the next node up to the current. + leaf = Subcolumns::findLeaf(node_nested, + [&](const auto & candidate) + { + return candidate.data.size() > old_size; + }); + + if (leaf) + break; + + current_node = node_nested->parent; + } + + if (leaf && isNothing(leaf->data.getLeastCommonTypeBase())) + return nullptr; + + return leaf; +} + +bool ColumnObjectDeprecated::tryInsertManyDefaultsFromNested(const Subcolumns::NodePtr & entry) const +{ + const auto * leaf = getLeafOfTheSameNested(entry); + if (!leaf) + return false; + + size_t old_size = entry->data.size(); + auto field_info = entry->data.getFieldInfo(); + + /// Cut the needed range from the found leaf + /// and replace scalar values to the correct + /// default values for given entry. + auto new_subcolumn = leaf->data + .cut(old_size, leaf->data.size() - old_size) + .recreateWithDefaultValues(field_info); + + entry->data.insertRangeFrom(new_subcolumn, 0, new_subcolumn.size()); + return true; +} + +bool ColumnObjectDeprecated::tryInsertDefaultFromNested(const Subcolumns::NodePtr & entry) const +{ + const auto * leaf = getLeafOfTheSameNested(entry); + if (!leaf) + return false; + + auto last_field = leaf->data.getLastField(); + if (last_field.isNull()) + return false; + + size_t leaf_num_dimensions = leaf->data.getNumberOfDimensions(); + size_t entry_num_dimensions = entry->data.getNumberOfDimensions(); + + auto default_scalar = entry_num_dimensions > leaf_num_dimensions + ? createEmptyArrayField(entry_num_dimensions - leaf_num_dimensions) + : entry->data.getLeastCommonTypeBase()->getDefault(); + + auto default_field = applyVisitor(FieldVisitorReplaceScalars(default_scalar, leaf_num_dimensions), last_field); + entry->data.insert(std::move(default_field)); + return true; +} + +PathsInData ColumnObjectDeprecated::getKeys() const +{ + PathsInData keys; + keys.reserve(subcolumns.size()); + for (const auto & entry : subcolumns) + keys.emplace_back(entry->path); + return keys; +} + +bool ColumnObjectDeprecated::isFinalized() const +{ + return std::all_of(subcolumns.begin(), subcolumns.end(), + [](const auto & entry) { return entry->data.isFinalized(); }); +} + +void ColumnObjectDeprecated::finalize() +{ + size_t old_size = size(); + Subcolumns new_subcolumns; + for (auto && entry : subcolumns) + { + const auto & least_common_type = entry->data.getLeastCommonType(); + + /// Do not add subcolumns, which consist only from NULLs. + if (isNothing(getBaseTypeOfArray(least_common_type))) + continue; + + entry->data.finalize(); + new_subcolumns.add(entry->path, entry->data); + } + + /// If all subcolumns were skipped add a dummy subcolumn, + /// because Tuple type must have at least one element. + if (new_subcolumns.empty()) + new_subcolumns.add(PathInData{COLUMN_NAME_DUMMY}, Subcolumn{ColumnUInt8::create(old_size, 0), is_nullable}); + + std::swap(subcolumns, new_subcolumns); + checkObjectHasNoAmbiguosPaths(getKeys()); +} + +void ColumnObjectDeprecated::updateHashFast(SipHash & hash) const +{ + for (const auto & entry : subcolumns) + for (auto & part : entry->data.data) + part->updateHashFast(hash); +} + +} diff --git a/src/Columns/ColumnObjectDeprecated.h b/src/Columns/ColumnObjectDeprecated.h new file mode 100644 index 00000000000..29e2d8f0709 --- /dev/null +++ b/src/Columns/ColumnObjectDeprecated.h @@ -0,0 +1,275 @@ +#pragma once + +#include +#include +#include +#include +#include +#include + +#include + +namespace DB +{ + +namespace ErrorCodes +{ + extern const int NOT_IMPLEMENTED; +} + +/// Info that represents a scalar or array field in a decomposed view. +/// It allows to recreate field with different number +/// of dimensions or nullability. +struct FieldInfo +{ + /// The common type of of all scalars in field. + DataTypePtr scalar_type; + + /// Do we have NULL scalar in field. + bool have_nulls; + + /// If true then we have scalars with different types in array and + /// we need to convert scalars to the common type. + bool need_convert; + + /// Number of dimension in array. 0 if field is scalar. + size_t num_dimensions; + + /// If true then this field is an array of variadic dimension field + /// and we need to normalize the dimension + bool need_fold_dimension; +}; + +FieldInfo getFieldInfo(const Field & field); + +/** A column that represents object with dynamic set of subcolumns. + * Subcolumns are identified by paths in document and are stored in + * a trie-like structure. ColumnObjectDeprecated is not suitable for writing into tables + * and it should be converted to Tuple with fixed set of subcolumns before that. + */ +class ColumnObjectDeprecated final : public COWHelper, ColumnObjectDeprecated> +{ +public: + /** Class that represents one subcolumn. + * It stores values in several parts of column + * and keeps current common type of all parts. + * We add a new column part with a new type, when we insert a field, + * which can't be converted to the current common type. + * After insertion of all values subcolumn should be finalized + * for writing and other operations. + */ + class Subcolumn + { + public: + Subcolumn() = default; + Subcolumn(size_t size_, bool is_nullable_); + Subcolumn(MutableColumnPtr && data_, bool is_nullable_); + + size_t size() const; + size_t byteSize() const; + size_t allocatedBytes() const; + void get(size_t n, Field & res) const; + + bool isFinalized() const; + const DataTypePtr & getLeastCommonType() const { return least_common_type.get(); } + const DataTypePtr & getLeastCommonTypeBase() const { return least_common_type.getBase(); } + size_t getNumberOfDimensions() const { return least_common_type.getNumberOfDimensions(); } + + /// Checks the consistency of column's parts stored in @data. + void checkTypes() const; + + /// Inserts a field, which scalars can be arbitrary, but number of + /// dimensions should be consistent with current common type. + void insert(Field field); + void insert(Field field, FieldInfo info); + + void insertDefault(); + void insertManyDefaults(size_t length); + void insertRangeFrom(const Subcolumn & src, size_t start, size_t length); + void popBack(size_t n); + + Subcolumn cut(size_t start, size_t length) const; + + /// Converts all column's parts to the common type and + /// creates a single column that stores all values. + void finalize(); + + /// Returns last inserted field. + Field getLastField() const; + + FieldInfo getFieldInfo() const; + + /// Recreates subcolumn with default scalar values and keeps sizes of arrays. + /// Used to create columns of type Nested with consistent array sizes. + Subcolumn recreateWithDefaultValues(const FieldInfo & field_info) const; + + /// Returns single column if subcolumn in finalizes. + /// Otherwise -- undefined behaviour. + IColumn & getFinalizedColumn(); + const IColumn & getFinalizedColumn() const; + const ColumnPtr & getFinalizedColumnPtr() const; + + const std::vector & getData() const { return data; } + size_t getNumberOfDefaultsInPrefix() const { return num_of_defaults_in_prefix; } + + friend class ColumnObjectDeprecated; + + private: + class LeastCommonType + { + public: + LeastCommonType(); + explicit LeastCommonType(DataTypePtr type_); + + const DataTypePtr & get() const { return type; } + const DataTypePtr & getBase() const { return base_type; } + size_t getNumberOfDimensions() const { return num_dimensions; } + + private: + DataTypePtr type; + DataTypePtr base_type; + size_t num_dimensions = 0; + }; + + void addNewColumnPart(DataTypePtr type); + + /// Current least common type of all values inserted to this subcolumn. + LeastCommonType least_common_type; + + /// If true then common type type of subcolumn is Nullable + /// and default values are NULLs. + bool is_nullable = false; + + /// Parts of column. Parts should be in increasing order in terms of subtypes/supertypes. + /// That means that the least common type for i-th prefix is the type of i-th part + /// and it's the supertype for all type of column from 0 to i-1. + std::vector data; + + /// Until we insert any non-default field we don't know further + /// least common type and we count number of defaults in prefix, + /// which will be converted to the default type of final common type. + size_t num_of_defaults_in_prefix = 0; + + size_t num_rows = 0; + }; + + using Subcolumns = SubcolumnsTree; + +private: + /// If true then all subcolumns are nullable. + const bool is_nullable; + + Subcolumns subcolumns; + size_t num_rows; + +public: + static constexpr auto COLUMN_NAME_DUMMY = "_dummy"; + + explicit ColumnObjectDeprecated(bool is_nullable_); + ColumnObjectDeprecated(Subcolumns && subcolumns_, bool is_nullable_); + + /// Checks that all subcolumns have consistent sizes. + void checkConsistency() const; + + bool hasSubcolumn(const PathInData & key) const; + + const Subcolumn & getSubcolumn(const PathInData & key) const; + Subcolumn & getSubcolumn(const PathInData & key); + + void incrementNumRows() { ++num_rows; } + + /// Adds a subcolumn from existing IColumn. + void addSubcolumn(const PathInData & key, MutableColumnPtr && subcolumn); + + /// Adds a subcolumn of specific size with default values. + void addSubcolumn(const PathInData & key, size_t new_size); + + /// Adds a subcolumn of type Nested of specific size with default values. + /// It cares about consistency of sizes of Nested arrays. + void addNestedSubcolumn(const PathInData & key, const FieldInfo & field_info, size_t new_size); + + /// Finds a subcolumn from the same Nested type as @entry and inserts + /// an array with default values with consistent sizes as in Nested type. + bool tryInsertDefaultFromNested(const Subcolumns::NodePtr & entry) const; + bool tryInsertManyDefaultsFromNested(const Subcolumns::NodePtr & entry) const; + + const Subcolumns & getSubcolumns() const { return subcolumns; } + Subcolumns & getSubcolumns() { return subcolumns; } + PathsInData getKeys() const; + + /// Part of interface + + const char * getFamilyName() const override { return "Object"; } + TypeIndex getDataType() const override { return TypeIndex::ObjectDeprecated; } + + size_t size() const override; + size_t byteSize() const override; + size_t allocatedBytes() const override; + void forEachSubcolumn(MutableColumnCallback callback) override; + void forEachSubcolumnRecursively(RecursiveMutableColumnCallback callback) override; + void insert(const Field & field) override; + bool tryInsert(const Field & field) override; + void insertDefault() override; +#if !defined(DEBUG_OR_SANITIZER_BUILD) + void insertFrom(const IColumn & src, size_t n) override; + void insertRangeFrom(const IColumn & src, size_t start, size_t length) override; +#else + void doInsertFrom(const IColumn & src, size_t n) override; + void doInsertRangeFrom(const IColumn & src, size_t start, size_t length) override; +#endif + void popBack(size_t length) override; + Field operator[](size_t n) const override; + void get(size_t n, Field & res) const override; + + ColumnPtr permute(const Permutation & perm, size_t limit) const override; + ColumnPtr filter(const Filter & filter, ssize_t result_size_hint) const override; + ColumnPtr index(const IColumn & indexes, size_t limit) const override; + ColumnPtr replicate(const Offsets & offsets) const override; + MutableColumnPtr cloneResized(size_t new_size) const override; + + /// Finalizes all subcolumns. + void finalize() override; + bool isFinalized() const override; + + /// Order of rows in ColumnObjectDeprecated is undefined. + void getPermutation(PermutationSortDirection, PermutationSortStability, size_t, int, Permutation & res) const override; + void updatePermutation(PermutationSortDirection, PermutationSortStability, size_t, int, Permutation &, EqualRanges &) const override {} +#if !defined(DEBUG_OR_SANITIZER_BUILD) + int compareAt(size_t, size_t, const IColumn &, int) const override { return 0; } +#else + int doCompareAt(size_t, size_t, const IColumn &, int) const override { return 0; } +#endif + void getExtremes(Field & min, Field & max) const override; + + /// All other methods throw exception. + + StringRef getDataAt(size_t) const override { throwMustBeConcrete(); } + bool isDefaultAt(size_t) const override { throwMustBeConcrete(); } + void insertData(const char *, size_t) override { throwMustBeConcrete(); } + StringRef serializeValueIntoArena(size_t, Arena &, char const *&) const override { throwMustBeConcrete(); } + char * serializeValueIntoMemory(size_t, char *) const override { throwMustBeConcrete(); } + const char * deserializeAndInsertFromArena(const char *) override { throwMustBeConcrete(); } + const char * skipSerializedInArena(const char *) const override { throwMustBeConcrete(); } + void updateHashWithValue(size_t, SipHash &) const override { throwMustBeConcrete(); } + WeakHash32 getWeakHash32() const override { throwMustBeConcrete(); } + void updateHashFast(SipHash &) const override; + void expand(const Filter &, bool) override { throwMustBeConcrete(); } + bool hasEqualValues() const override { throwMustBeConcrete(); } + size_t byteSizeAt(size_t) const override { throwMustBeConcrete(); } + double getRatioOfDefaultRows(double) const override { throwMustBeConcrete(); } + UInt64 getNumberOfDefaultRows() const override { throwMustBeConcrete(); } + void getIndicesOfNonDefaultRows(Offsets &, size_t, size_t) const override { throwMustBeConcrete(); } + +private: + [[noreturn]] static void throwMustBeConcrete() + { + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "ColumnObjectDeprecated must be converted to ColumnTuple before use"); + } + + template + MutableColumnPtr applyForSubcolumns(Func && func) const; + + /// It's used to get shared sized of Nested to insert correct default values. + const Subcolumns::Node * getLeafOfTheSameNested(const Subcolumns::NodePtr & entry) const; +}; +} diff --git a/src/Columns/ColumnString.cpp b/src/Columns/ColumnString.cpp index 9ed2c7e3d4d..00cf3bd9c30 100644 --- a/src/Columns/ColumnString.cpp +++ b/src/Columns/ColumnString.cpp @@ -557,6 +557,11 @@ void ColumnString::reserve(size_t n) offsets.reserve_exact(n); } +size_t ColumnString::capacity() const +{ + return offsets.capacity(); +} + void ColumnString::prepareForSquashing(const Columns & source_columns) { size_t new_size = size(); diff --git a/src/Columns/ColumnString.h b/src/Columns/ColumnString.h index 5bbb3ad5151..ec0563b3f00 100644 --- a/src/Columns/ColumnString.h +++ b/src/Columns/ColumnString.h @@ -283,6 +283,7 @@ public: ColumnPtr compress() const override; void reserve(size_t n) override; + size_t capacity() const override; void prepareForSquashing(const Columns & source_columns) override; void shrinkToFit() override; diff --git a/src/Columns/ColumnTuple.cpp b/src/Columns/ColumnTuple.cpp index 1539d7c8c2e..e741eb51c68 100644 --- a/src/Columns/ColumnTuple.cpp +++ b/src/Columns/ColumnTuple.cpp @@ -595,6 +595,14 @@ void ColumnTuple::reserve(size_t n) getColumn(i).reserve(n); } +size_t ColumnTuple::capacity() const +{ + if (columns.empty()) + return size(); + + return getColumn(0).capacity(); +} + void ColumnTuple::prepareForSquashing(const Columns & source_columns) { const size_t tuple_size = columns.size(); diff --git a/src/Columns/ColumnTuple.h b/src/Columns/ColumnTuple.h index ef396d6a130..6968294aef9 100644 --- a/src/Columns/ColumnTuple.h +++ b/src/Columns/ColumnTuple.h @@ -110,6 +110,7 @@ public: void updatePermutationWithCollation(const Collator & collator, IColumn::PermutationSortDirection direction, IColumn::PermutationSortStability stability, size_t limit, int nan_direction_hint, IColumn::Permutation & res, EqualRanges& equal_ranges) const override; void reserve(size_t n) override; + size_t capacity() const override; void prepareForSquashing(const Columns & source_columns) override; void shrinkToFit() override; void ensureOwnership() override; diff --git a/src/Columns/ColumnVariant.cpp b/src/Columns/ColumnVariant.cpp index d4294478633..28a4860b546 100644 --- a/src/Columns/ColumnVariant.cpp +++ b/src/Columns/ColumnVariant.cpp @@ -1277,6 +1277,11 @@ void ColumnVariant::prepareForSquashing(const Columns & source_columns) } } +size_t ColumnVariant::capacity() const +{ + return local_discriminators->capacity(); +} + void ColumnVariant::ensureOwnership() { const size_t num_variants = variants.size(); diff --git a/src/Columns/ColumnVariant.h b/src/Columns/ColumnVariant.h index 787b2f75247..925eab74af8 100644 --- a/src/Columns/ColumnVariant.h +++ b/src/Columns/ColumnVariant.h @@ -241,6 +241,7 @@ public: size_t limit, int nan_direction_hint, IColumn::Permutation & res, EqualRanges & equal_ranges) const override; void reserve(size_t n) override; + size_t capacity() const override; void prepareForSquashing(const Columns & source_columns) override; void ensureOwnership() override; size_t byteSize() const override; diff --git a/src/Columns/ColumnVector.h b/src/Columns/ColumnVector.h index a5e1ee4b462..8f81da86375 100644 --- a/src/Columns/ColumnVector.h +++ b/src/Columns/ColumnVector.h @@ -180,6 +180,11 @@ public: data.reserve_exact(n); } + size_t capacity() const override + { + return data.capacity(); + } + void shrinkToFit() override { data.shrink_to_fit(); diff --git a/src/Columns/IColumn.cpp b/src/Columns/IColumn.cpp index a189903b617..15e29d1422a 100644 --- a/src/Columns/IColumn.cpp +++ b/src/Columns/IColumn.cpp @@ -11,12 +11,13 @@ #include #include #include -#include +#include #include #include #include #include #include +#include #include #include #include @@ -466,12 +467,13 @@ template class IColumnHelper; template class IColumnHelper; template class IColumnHelper; template class IColumnHelper; -template class IColumnHelper; +template class IColumnHelper; template class IColumnHelper; template class IColumnHelper; template class IColumnHelper; template class IColumnHelper; template class IColumnHelper; +template class IColumnHelper; template class IColumnHelper; diff --git a/src/Columns/IColumn.h b/src/Columns/IColumn.h index edcb9f0bc30..e4fe233ffdf 100644 --- a/src/Columns/IColumn.h +++ b/src/Columns/IColumn.h @@ -475,6 +475,9 @@ public: /// It affects performance only (not correctness). virtual void reserve(size_t /*n*/) {} + /// Returns the number of elements allocated in reserve. + virtual size_t capacity() const { return size(); } + /// Reserve memory before squashing all specified source columns into this column. virtual void prepareForSquashing(const std::vector & source_columns) { diff --git a/src/Columns/tests/gtest_column_object.cpp b/src/Columns/tests/gtest_column_object.cpp new file mode 100644 index 00000000000..f6a1da64ba3 --- /dev/null +++ b/src/Columns/tests/gtest_column_object.cpp @@ -0,0 +1,351 @@ +#include +#include +#include +#include +#include + +#include +#include + +using namespace DB; + +TEST(ColumnObject, CreateEmpty) +{ + auto type = DataTypeFactory::instance().get("JSON(max_dynamic_types=10, max_dynamic_paths=20, a.b UInt32, a.c Array(String))"); + auto col = type->createColumn(); + const auto & col_object = assert_cast(*col); + const auto & typed_paths = col_object.getTypedPaths(); + ASSERT_TRUE(typed_paths.contains("a.b")); + ASSERT_EQ(typed_paths.at("a.b")->getName(), "UInt32"); + ASSERT_TRUE(typed_paths.contains("a.c")); + ASSERT_EQ(typed_paths.at("a.c")->getName(), "Array(String)"); + ASSERT_TRUE(col_object.getDynamicPaths().empty()); + ASSERT_TRUE(col_object.getSharedDataOffsets().empty()); + ASSERT_TRUE(col_object.getSharedDataPathsAndValues().first->empty()); + ASSERT_TRUE(col_object.getSharedDataPathsAndValues().second->empty()); + ASSERT_EQ(col_object.getMaxDynamicTypes(), 10); + ASSERT_EQ(col_object.getMaxDynamicPaths(), 20); +} + +TEST(ColumnObject, GetName) +{ + auto type = DataTypeFactory::instance().get("JSON(max_dynamic_types=10, max_dynamic_paths=20, b.d UInt32, a.b Array(String))"); + auto col = type->createColumn(); + ASSERT_EQ(col->getName(), "Object(max_dynamic_paths=20, max_dynamic_types=10, a.b Array(String), b.d UInt32)"); +} + +Field deserializeFieldFromSharedData(ColumnString * values, size_t n) +{ + auto data = values->getDataAt(n); + ReadBufferFromMemory buf(data.data, data.size); + Field res; + std::make_shared()->deserializeBinary(res, buf, FormatSettings()); + return res; +} + +TEST(ColumnObject, InsertField) +{ + auto type = DataTypeFactory::instance().get("JSON(max_dynamic_types=10, max_dynamic_paths=2, b.d UInt32, a.b Array(String))"); + auto col = type->createColumn(); + auto & col_object = assert_cast(*col); + const auto & typed_paths = col_object.getTypedPaths(); + const auto & dynamic_paths = col_object.getDynamicPaths(); + const auto & shared_data_nested_column = col_object.getSharedDataNestedColumn(); + const auto & shared_data_offsets = col_object.getSharedDataOffsets(); + const auto [shared_data_paths, shared_data_values] = col_object.getSharedDataPathsAndValues(); + Object empty_object; + col_object.insert(empty_object); + ASSERT_EQ(col_object[0], (Object{{"a.b", Array{}}, {"b.d", Field(0u)}})); + ASSERT_EQ(typed_paths.at("a.b")->size(), 1); + ASSERT_TRUE(typed_paths.at("a.b")->isDefaultAt(0)); + ASSERT_EQ(typed_paths.at("b.d")->size(), 1); + ASSERT_TRUE(typed_paths.at("b.d")->isDefaultAt(0)); + ASSERT_TRUE(dynamic_paths.empty()); + ASSERT_EQ(shared_data_nested_column.size(), 1); + ASSERT_TRUE(shared_data_nested_column.isDefaultAt(0)); + + Object object1 = {{"a.b", Array{String("Hello"), String("World")}}, {"a.c", Field(42)}}; + col_object.insert(object1); + ASSERT_EQ(col_object[1], (Object{{"a.b", Array{String("Hello"), String("World")}}, {"b.d", Field(0u)}, {"a.c", Field(42)}})); + ASSERT_EQ(typed_paths.at("a.b")->size(), 2); + ASSERT_EQ((*typed_paths.at("a.b"))[1], (Array{String("Hello"), String("World")})); + ASSERT_EQ(typed_paths.at("b.d")->size(), 2); + ASSERT_TRUE(typed_paths.at("b.d")->isDefaultAt(1)); + ASSERT_EQ(dynamic_paths.size(), 1); + ASSERT_TRUE(dynamic_paths.contains("a.c")); + ASSERT_EQ(dynamic_paths.at("a.c")->size(), 2); + ASSERT_TRUE(dynamic_paths.at("a.c")->isDefaultAt(0)); + ASSERT_EQ((*dynamic_paths.at("a.c"))[1], Field(42)); + ASSERT_EQ(shared_data_nested_column.size(), 2); + ASSERT_TRUE(shared_data_nested_column.isDefaultAt(1)); + + Object object2 = {{"b.d", Field(142u)}, {"a.c", Field(43)}, {"a.d", Field("str")}, {"a.e", Field(242)}, {"a.f", Array{Field(42), Field(43)}}}; + col_object.insert(object2); + ASSERT_EQ(col_object[2], (Object{{"a.b", Array{}}, {"b.d", Field(142u)}, {"a.c", Field(43)}, {"a.d", Field("str")}, {"a.e", Field(242)}, {"a.f", Array{Field(42), Field(43)}}})); + ASSERT_EQ(typed_paths.at("a.b")->size(), 3); + ASSERT_TRUE(typed_paths.at("a.b")->isDefaultAt(2)); + ASSERT_EQ(typed_paths.at("b.d")->size(), 3); + ASSERT_EQ((*typed_paths.at("b.d"))[2], Field(142u)); + ASSERT_EQ(dynamic_paths.size(), 2); + ASSERT_TRUE(dynamic_paths.contains("a.c")); + ASSERT_EQ(dynamic_paths.at("a.c")->size(), 3); + ASSERT_EQ((*dynamic_paths.at("a.c"))[2], Field(43)); + ASSERT_TRUE(dynamic_paths.contains("a.d")); + ASSERT_EQ(dynamic_paths.at("a.d")->size(), 3); + ASSERT_EQ((*dynamic_paths.at("a.d"))[2], Field("str")); + + ASSERT_EQ(shared_data_nested_column.size(), 3); + ASSERT_EQ(shared_data_offsets[2] - shared_data_offsets[1], 2); + ASSERT_EQ((*shared_data_paths)[0], "a.e"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 0), Field(242)); + ASSERT_EQ((*shared_data_paths)[1], "a.f"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 1), (Array({Field(42), Field(43)}))); + + Object object3 = {{"b.a", Field("Str")}, {"b.b", Field(2)}, {"b.c", Field(Tuple{Field(42), Field("Str")})}}; + col_object.insert(object3); + ASSERT_EQ(col_object[3], (Object{{"a.b", Array{}}, {"b.d", Field(0u)}, {"b.a", Field("Str")}, {"b.b", Field(2)}, {"b.c", Field(Tuple{Field(42), Field("Str")})}})); + ASSERT_EQ(typed_paths.at("a.b")->size(), 4); + ASSERT_TRUE(typed_paths.at("a.b")->isDefaultAt(3)); + ASSERT_EQ(typed_paths.at("b.d")->size(), 4); + ASSERT_TRUE(typed_paths.at("b.d")->isDefaultAt(3)); + ASSERT_EQ(dynamic_paths.size(), 2); + ASSERT_EQ(dynamic_paths.at("a.c")->size(), 4); + ASSERT_TRUE(dynamic_paths.at("a.c")->isDefaultAt(3)); + ASSERT_EQ(dynamic_paths.at("a.d")->size(), 4); + ASSERT_TRUE(dynamic_paths.at("a.d")->isDefaultAt(3)); + + ASSERT_EQ(shared_data_nested_column.size(), 4); + ASSERT_EQ(shared_data_offsets[3] - shared_data_offsets[2], 3); + ASSERT_EQ((*shared_data_paths)[2], "b.a"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 2), Field("Str")); + ASSERT_EQ((*shared_data_paths)[3], "b.b"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 3), Field(2)); + ASSERT_EQ((*shared_data_paths)[4], "b.c"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 4), Field(Tuple{Field(42), Field("Str")})); + + Object object4 = {{"c.c", Field(Null())}, {"c.d", Field(Null())}}; + col_object.insert(object4); + ASSERT_TRUE(shared_data_nested_column.isDefaultAt(4)); +} + +TEST(ColumnObject, InsertFrom) +{ + auto type = DataTypeFactory::instance().get("JSON(max_dynamic_types=10, max_dynamic_paths=2, b.d UInt32, a.b Array(String))"); + auto col = type->createColumn(); + auto & col_object = assert_cast(*col); + col_object.insert(Object{{"a.a", Field(42)}}); + + const auto & typed_paths = col_object.getTypedPaths(); + const auto & dynamic_paths = col_object.getDynamicPaths(); + const auto & shared_data_nested_column = col_object.getSharedDataNestedColumn(); + const auto & shared_data_offsets = col_object.getSharedDataOffsets(); + const auto [shared_data_paths, shared_data_values] = col_object.getSharedDataPathsAndValues(); + + auto src_col1 = type->createColumn(); + auto & src_col_object1 = assert_cast(*src_col1); + src_col_object1.insert(Object{{"b.d", Field(43u)}, {"a.c", Field("Str1")}}); + col_object.insertFrom(src_col_object1, 0); + ASSERT_EQ((*typed_paths.at("a.b"))[1], Field(Array{})); + ASSERT_EQ((*typed_paths.at("b.d"))[1], Field(43u)); + ASSERT_EQ(dynamic_paths.size(), 2); + ASSERT_EQ((*dynamic_paths.at("a.a"))[1], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.c"))[1], Field("Str1")); + ASSERT_TRUE(shared_data_nested_column.isDefaultAt(1)); + + auto src_col2 = type->createColumn(); + auto & src_col_object2 = assert_cast(*src_col2); + src_col_object2.insert(Object{{"a.b", Array{"Str4", "Str5"}}, {"b.d", Field(44u)}, {"a.d", Field("Str2")}, {"a.e", Field("Str3")}}); + col_object.insertFrom(src_col_object2, 0); + ASSERT_EQ((*typed_paths.at("a.b"))[2], Field(Array{"Str4", "Str5"})); + ASSERT_EQ((*typed_paths.at("b.d"))[2], Field(44u)); + ASSERT_EQ(dynamic_paths.size(), 2); + ASSERT_EQ((*dynamic_paths.at("a.a"))[2], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.c"))[2], Field(Null())); + ASSERT_EQ(shared_data_offsets[2] - shared_data_offsets[1], 2); + ASSERT_EQ((*shared_data_paths)[0], "a.d"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 0), Field("Str2")); + ASSERT_EQ((*shared_data_paths)[1], "a.e"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 1), Field("Str3")); + + auto src_col3 = type->createColumn(); + auto & src_col_object3 = assert_cast(*src_col3); + src_col_object3.insert(Object{{"a.h", Field("Str6")}, {"h.h", Field("Str7")}}); + src_col_object3.insert(Object{{"a.a", Field("Str10")}, {"a.c", Field(45u)}, {"a.h", Field("Str6")}, {"h.h", Field("Str7")}, {"a.f", Field("Str8")}, {"a.g", Field("Str9")}, {"a.i", Field("Str11")}, {"a.u", Field(Null())}}); + col_object.insertFrom(src_col_object3, 1); + ASSERT_EQ((*typed_paths.at("a.b"))[3], Field(Array{})); + ASSERT_EQ((*typed_paths.at("b.d"))[3], Field(0u)); + ASSERT_EQ(dynamic_paths.size(), 2); + ASSERT_EQ((*dynamic_paths.at("a.a"))[3], Field("Str10")); + ASSERT_EQ((*dynamic_paths.at("a.c"))[3], Field(45u)); + ASSERT_EQ(shared_data_offsets[3] - shared_data_offsets[2], 5); + ASSERT_EQ((*shared_data_paths)[2], "a.f"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 2), Field("Str8")); + ASSERT_EQ((*shared_data_paths)[3], "a.g"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 3), Field("Str9")); + ASSERT_EQ((*shared_data_paths)[4], "a.h"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 4), Field("Str6")); + ASSERT_EQ((*shared_data_paths)[5], "a.i"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 5), Field("Str11")); + ASSERT_EQ((*shared_data_paths)[6], "h.h"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 6), Field("Str7")); +} + + +TEST(ColumnObject, InsertRangeFrom) +{ + auto type = DataTypeFactory::instance().get("JSON(max_dynamic_types=10, max_dynamic_paths=2, b.d UInt32, a.b Array(String))"); + auto col = type->createColumn(); + auto & col_object = assert_cast(*col); + col_object.insert(Object{{"a.a", Field(42)}}); + + const auto & typed_paths = col_object.getTypedPaths(); + const auto & dynamic_paths = col_object.getDynamicPaths(); + const auto & shared_data_nested_column = col_object.getSharedDataNestedColumn(); + const auto & shared_data_offsets = col_object.getSharedDataOffsets(); + const auto [shared_data_paths, shared_data_values] = col_object.getSharedDataPathsAndValues(); + + auto src_col1 = type->createColumn(); + auto & src_col_object1 = assert_cast(*src_col1); + src_col_object1.insert(Object{{"b.d", Field(43u)}, {"a.c", Field("Str1")}}); + src_col_object1.insert(Object{{"a.b", Field(Array{"Str1", "Str2"})}, {"a.a", Field("Str1")}}); + src_col_object1.insert(Object{{"b.d", Field(45u)}, {"a.c", Field("Str2")}}); + col_object.insertRangeFrom(src_col_object1, 0, 3); + ASSERT_EQ((*typed_paths.at("a.b"))[1], Field(Array{})); + ASSERT_EQ((*typed_paths.at("a.b"))[2], Field(Array{"Str1", "Str2"})); + ASSERT_EQ((*typed_paths.at("a.b"))[3], Field(Array{})); + ASSERT_EQ((*typed_paths.at("b.d"))[1], Field(43u)); + ASSERT_EQ((*typed_paths.at("b.d"))[2], Field(0u)); + ASSERT_EQ((*typed_paths.at("b.d"))[3], Field(45u)); + ASSERT_EQ(dynamic_paths.size(), 2); + ASSERT_EQ((*dynamic_paths.at("a.a"))[1], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.a"))[2], Field("Str1")); + ASSERT_EQ((*dynamic_paths.at("a.a"))[3], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.c"))[1], Field("Str1")); + ASSERT_EQ((*dynamic_paths.at("a.c"))[2], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.c"))[3], Field("Str2")); + ASSERT_TRUE(shared_data_nested_column.isDefaultAt(1)); + ASSERT_TRUE(shared_data_nested_column.isDefaultAt(2)); + ASSERT_TRUE(shared_data_nested_column.isDefaultAt(3)); + + auto src_col2 = type->createColumn(); + auto & src_col_object2 = assert_cast(*src_col2); + src_col_object2.insert(Object{{"a.b", Array{"Str4", "Str5"}}, {"a.d", Field("Str2")}, {"a.e", Field("Str3")}}); + src_col_object2.insert(Object{{"b.d", Field(44u)}, {"a.d", Field("Str22")}, {"a.e", Field("Str33")}}); + src_col_object2.insert(Object{{"a.b", Array{"Str44", "Str55"}}, {"a.d", Field("Str222")}, {"a.e", Field("Str333")}}); + col_object.insertRangeFrom(src_col_object2, 0, 3); + ASSERT_EQ((*typed_paths.at("a.b"))[4], Field(Array{"Str4", "Str5"})); + ASSERT_EQ((*typed_paths.at("a.b"))[5], Field(Array{})); + ASSERT_EQ((*typed_paths.at("a.b"))[6], Field(Array{"Str44", "Str55"})); + ASSERT_EQ((*typed_paths.at("b.d"))[4], Field(0u)); + ASSERT_EQ((*typed_paths.at("b.d"))[5], Field(44u)); + ASSERT_EQ((*typed_paths.at("b.d"))[6], Field(0u)); + ASSERT_EQ(dynamic_paths.size(), 2); + ASSERT_EQ((*dynamic_paths.at("a.a"))[4], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.a"))[5], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.a"))[6], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.c"))[4], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.c"))[5], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.c"))[6], Field(Null())); + ASSERT_EQ(shared_data_offsets[4] - shared_data_offsets[3], 2); + ASSERT_EQ((*shared_data_paths)[0], "a.d"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 0), Field("Str2")); + ASSERT_EQ((*shared_data_paths)[1], "a.e"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 1), Field("Str3")); + ASSERT_EQ(shared_data_offsets[5] - shared_data_offsets[4], 2); + ASSERT_EQ((*shared_data_paths)[2], "a.d"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 2), Field("Str22")); + ASSERT_EQ((*shared_data_paths)[3], "a.e"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 3), Field("Str33")); + ASSERT_EQ(shared_data_offsets[6] - shared_data_offsets[5], 2); + ASSERT_EQ((*shared_data_paths)[4], "a.d"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 4), Field("Str222")); + ASSERT_EQ((*shared_data_paths)[5], "a.e"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 5), Field("Str333")); + + auto src_col3 = type->createColumn(); + auto & src_col_object3 = assert_cast(*src_col3); + src_col_object3.insert(Object{{"a.h", Field("Str6")}, {"h.h", Field("Str7")}}); + src_col_object3.insert(Object{{"a.h", Field("Str6")}, {"h.h", Field("Str7")}, {"a.f", Field("Str8")}, {"a.g", Field("Str9")}, {"a.i", Field("Str11")}}); + src_col_object3.insert(Object{{"a.a", Field("Str10")}}); + src_col_object3.insert(Object{{"a.h", Field("Str6")}, {"a.c", Field(45u)}, {"h.h", Field("Str7")}, {"a.i", Field("Str11")}}); + col_object.insertRangeFrom(src_col_object3, 1, 3); + ASSERT_EQ((*typed_paths.at("a.b"))[7], Field(Array{})); + ASSERT_EQ((*typed_paths.at("a.b"))[8], Field(Array{})); + ASSERT_EQ((*typed_paths.at("a.b"))[9], Field(Array{})); + ASSERT_EQ((*typed_paths.at("b.d"))[7], Field(0u)); + ASSERT_EQ((*typed_paths.at("b.d"))[8], Field(0u)); + ASSERT_EQ((*typed_paths.at("b.d"))[9], Field(0u)); + ASSERT_EQ(dynamic_paths.size(), 2); + ASSERT_EQ((*dynamic_paths.at("a.a"))[7], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.a"))[8], Field("Str10")); + ASSERT_EQ((*dynamic_paths.at("a.a"))[9], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.c"))[7], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.c"))[8], Field(Null())); + ASSERT_EQ((*dynamic_paths.at("a.c"))[9], Field(45u)); + ASSERT_EQ(shared_data_offsets[7] - shared_data_offsets[6], 5); + ASSERT_EQ((*shared_data_paths)[6], "a.f"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 6), Field("Str8")); + ASSERT_EQ((*shared_data_paths)[7], "a.g"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 7), Field("Str9")); + ASSERT_EQ((*shared_data_paths)[8], "a.h"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 8), Field("Str6")); + ASSERT_EQ((*shared_data_paths)[9], "a.i"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 9), Field("Str11")); + ASSERT_EQ((*shared_data_paths)[10], "h.h"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 10), Field("Str7")); + ASSERT_EQ(shared_data_offsets[8] - shared_data_offsets[7], 0); + ASSERT_EQ(shared_data_offsets[9] - shared_data_offsets[8], 3); + ASSERT_EQ((*shared_data_paths)[11], "a.h"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 11), Field("Str6")); + ASSERT_EQ((*shared_data_paths)[12], "a.i"); + ASSERT_EQ(deserializeFieldFromSharedData(shared_data_values, 12), Field("Str11")); +} + +TEST(ColumnObject, SerializeDeserializerFromArena) +{ + auto type = DataTypeFactory::instance().get("JSON(max_dynamic_types=10, max_dynamic_paths=2, b.d UInt32, a.b Array(String))"); + auto col = type->createColumn(); + auto & col_object = assert_cast(*col); + col_object.insert(Object{{"b.d", Field(42u)}, {"a.b", Array{"Str1", "Str2"}}, {"a.a", Tuple{"Str3", 441u}}, {"a.c", Field("Str4")}, {"a.d", Array{Field(45), Field(46)}}, {"a.e", Field(47)}}); + col_object.insert(Object{{"b.a", Field(48)}, {"b.b", Array{Field(49), Field(50)}}}); + col_object.insert(Object{{"b.d", Field(442u)}, {"a.b", Array{"Str11", "Str22"}}, {"a.a", Tuple{"Str33", 444u}}, {"a.c", Field("Str44")}, {"a.d", Array{Field(445), Field(446)}}, {"a.e", Field(447)}}); + + Arena arena; + const char * pos = nullptr; + auto ref1 = col_object.serializeValueIntoArena(0, arena, pos); + col_object.serializeValueIntoArena(1, arena, pos); + col_object.serializeValueIntoArena(2, arena, pos); + + auto col2 = type->createColumn(); + auto & col_object2 = assert_cast(*col); + pos = col_object2.deserializeAndInsertFromArena(ref1.data); + pos = col_object2.deserializeAndInsertFromArena(pos); + col_object2.deserializeAndInsertFromArena(pos); + + ASSERT_EQ(col_object2[0], (Object{{"b.d", Field(42u)}, {"a.b", Array{"Str1", "Str2"}}, {"a.a", Tuple{"Str3", 441u}}, {"a.c", Field("Str4")}, {"a.d", Array{Field(45), Field(46)}}, {"a.e", Field(47)}})); + ASSERT_EQ(col_object2[1], (Object{{"b.d", Field{0u}}, {"a.b", Array{}}, {"b.a", Field(48)}, {"b.b", Array{Field(49), Field(50)}}})); + ASSERT_EQ(col_object2[2], (Object{{"b.d", Field(442u)}, {"a.b", Array{"Str11", "Str22"}}, {"a.a", Tuple{"Str33", 444u}}, {"a.c", Field("Str44")}, {"a.d", Array{Field(445), Field(446)}}, {"a.e", Field(447)}})); +} + +TEST(ColumnObject, SkipSerializedInArena) +{ + auto type = DataTypeFactory::instance().get("JSON(max_dynamic_types=10, max_dynamic_paths=2, b.d UInt32, a.b Array(String))"); + auto col = type->createColumn(); + auto & col_object = assert_cast(*col); + col_object.insert(Object{{"b.d", Field(42u)}, {"a.b", Array{"Str1", "Str2"}}, {"a.a", Tuple{"Str3", 441u}}, {"a.c", Field("Str4")}, {"a.d", Array{Field(45), Field(46)}}, {"a.e", Field(47)}}); + col_object.insert(Object{{"b.a", Field(48)}, {"b.b", Array{Field(49), Field(50)}}}); + col_object.insert(Object{{"b.d", Field(442u)}, {"a.b", Array{"Str11", "Str22"}}, {"a.a", Tuple{"Str33", 444u}}, {"a.c", Field("Str44")}, {"a.d", Array{Field(445), Field(446)}}, {"a.e", Field(447)}}); + + Arena arena; + const char * pos = nullptr; + auto ref1 = col_object.serializeValueIntoArena(0, arena, pos); + col_object.serializeValueIntoArena(1, arena, pos); + auto ref3 = col_object.serializeValueIntoArena(2, arena, pos); + + const char * end = ref3.data + ref3.size; + auto col2 = type->createColumn(); + pos = col2->skipSerializedInArena(ref1.data); + pos = col2->skipSerializedInArena(pos); + pos = col2->skipSerializedInArena(pos); + ASSERT_EQ(pos, end); +} diff --git a/src/Common/StringHashForHeterogeneousLookup.h b/src/Common/StringHashForHeterogeneousLookup.h new file mode 100644 index 00000000000..56d8ccf0009 --- /dev/null +++ b/src/Common/StringHashForHeterogeneousLookup.h @@ -0,0 +1,30 @@ +#pragma once +#include + +namespace DB +{ + +/// See https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2018/p0919r3.html +struct StringHashForHeterogeneousLookup +{ + using hash_type = std::hash; + using transparent_key_equal = std::equal_to<>; + using is_transparent = void; // required to make find() work with different type than key_type + + auto operator()(const std::string_view view) const + { + return hash_type()(view); + } + + auto operator()(const std::string & str) const + { + return hash_type()(str); + } + + auto operator()(const char * data) const + { + return hash_type()(data); + } +}; + +} diff --git a/src/Core/Settings.h b/src/Core/Settings.h index 33e7b3ae6dd..dfcff052740 100644 --- a/src/Core/Settings.h +++ b/src/Core/Settings.h @@ -878,6 +878,7 @@ class IColumn; M(Bool, allow_get_client_http_header, false, "Allow to use the function `getClientHTTPHeader` which lets to obtain a value of an the current HTTP request's header. It is not enabled by default for security reasons, because some headers, such as `Cookie`, could contain sensitive info. Note that the `X-ClickHouse-*` and `Authentication` headers are always restricted and cannot be obtained with this function.", 0) \ M(Bool, cast_string_to_dynamic_use_inference, false, "Use types inference during String to Dynamic conversion", 0) \ M(Bool, enable_blob_storage_log, true, "Write information about blob storage operations to system.blob_storage_log table", 0) \ + M(Bool, use_json_alias_for_old_object_type, false, "When enabled, JSON type alias will create old experimental Object type instead of a new JSON type", 0) \ M(Bool, allow_create_index_without_type, false, "Allow CREATE INDEX query without TYPE. Query will be ignored. Made for SQL compatibility tests.", 0) \ M(Bool, create_index_ignore_unique, false, "Ignore UNIQUE keyword in CREATE UNIQUE INDEX. Made for SQL compatibility tests.", 0) \ M(Bool, print_pretty_type_names, true, "Print pretty type names in DESCRIBE query and toTypeName() function", 0) \ @@ -912,6 +913,7 @@ class IColumn; M(Bool, allow_experimental_vector_similarity_index, false, "Allow experimental vector similarity index", 0) \ M(Bool, allow_experimental_variant_type, false, "Allow Variant data type", 0) \ M(Bool, allow_experimental_dynamic_type, false, "Allow Dynamic data type", 0) \ + M(Bool, allow_experimental_json_type, false, "Allow JSON data type", 0) \ M(Bool, allow_experimental_codecs, false, "If it is set to true, allow to specify experimental compression codecs (but we don't have those yet and this option does nothing).", 0) \ M(UInt64, max_limit_for_ann_queries, 1'000'000, "SELECT queries with LIMIT bigger than this setting cannot use ANN indexes. Helps to prevent memory overflows in ANN search indexes.", 0) \ M(Bool, throw_on_unsupported_query_inside_transaction, true, "Throw exception if unsupported query is used inside transaction", 0) \ @@ -1133,6 +1135,7 @@ class IColumn; M(Bool, input_format_json_defaults_for_missing_elements_in_named_tuple, true, "Insert default value in named tuple element if it's missing in json object", 0) \ M(Bool, input_format_json_throw_on_bad_escape_sequence, true, "Throw an exception if JSON string contains bad escape sequence in JSON input formats. If disabled, bad escape sequences will remain as is in the data", 0) \ M(Bool, input_format_json_ignore_unnecessary_fields, true, "Ignore unnecessary fields and not parse them. Enabling this may not throw exceptions on json strings of invalid format or with duplicated fields", 0) \ + M(Bool, type_json_skip_duplicated_paths, false, "When enabled, during parsing JSON object into JSON type duplicated paths will be ignored and only the first one will be inserted instead of an exception", 0) \ M(UInt64, input_format_json_max_depth, 1000, "Maximum depth of a field in JSON. This is not a strict limit, it does not have to be applied precisely.", 0) \ M(Bool, input_format_try_infer_integers, true, "Try to infer integers instead of floats while schema inference in text formats", 0) \ M(Bool, input_format_try_infer_dates, true, "Try to infer dates from string fields while schema inference in text formats", 0) \ diff --git a/src/Core/SettingsChangesHistory.cpp b/src/Core/SettingsChangesHistory.cpp index b8639512b76..806b09d8b9d 100644 --- a/src/Core/SettingsChangesHistory.cpp +++ b/src/Core/SettingsChangesHistory.cpp @@ -88,6 +88,9 @@ static std::initializer_list #include #include +#include #include namespace DB @@ -67,7 +68,11 @@ static DataTypePtr create(const ASTPtr & arguments) if (!argument || argument->name != "equals") throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, "Dynamic data type argument should be in a form 'max_types=N'"); - auto identifier_name = argument->arguments->children[0]->as()->name(); + const auto * identifier = argument->arguments->children[0]->as(); + if (!identifier) + throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, "Unexpected Dynamic type argument: {}. Expected expression 'max_types=N'", identifier->formatForErrorMessage()); + + auto identifier_name = identifier->name(); if (identifier_name != "max_types") throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, "Unexpected identifier: {}. Dynamic data type argument should be in a form 'max_types=N'", identifier_name); @@ -84,9 +89,53 @@ void registerDataTypeDynamic(DataTypeFactory & factory) factory.registerDataType("Dynamic", create); } +namespace +{ + +/// Split Dynamic subcolumn name into 2 parts: type name and subcolumn of this type. +/// We cannot simply split by '.' because type name can also contain dots. For example: Tuple(`a.b` UInt32). +/// But in all such cases this '.' will be inside back quotes. To split subcolumn name correctly +/// we search for the first '.' that is not inside back quotes. +std::pair splitSubcolumnName(std::string_view subcolumn_name) +{ + bool inside_quotes = false; + const char * pos = subcolumn_name.data(); + const char * end = subcolumn_name.data() + subcolumn_name.size(); + while (true) + { + pos = find_first_symbols<'`', '.', '\\'>(pos, end); + if (pos == end) + break; + + if (*pos == '`') + { + inside_quotes = !inside_quotes; + ++pos; + } + else if (*pos == '\\') + { + ++pos; + } + else if (*pos == '.') + { + if (inside_quotes) + ++pos; + else + break; + } + } + + if (pos == end) + return {subcolumn_name, {}}; + + return {std::string_view(subcolumn_name.data(), pos), std::string_view(pos + 1, end)}; +} + +} + std::unique_ptr DataTypeDynamic::getDynamicSubcolumnData(std::string_view subcolumn_name, const DB::IDataType::SubstreamData & data, bool throw_if_null) const { - auto [type_subcolumn_name, subcolumn_nested_name] = Nested::splitName(subcolumn_name); + auto [type_subcolumn_name, subcolumn_nested_name] = splitSubcolumnName(subcolumn_name); /// Check if requested subcolumn is a valid data type. auto subcolumn_type = DataTypeFactory::instance().tryGet(String(type_subcolumn_name)); if (!subcolumn_type) diff --git a/src/DataTypes/DataTypeDynamic.h b/src/DataTypes/DataTypeDynamic.h index d5e4c5261ce..2e7a23d314d 100644 --- a/src/DataTypes/DataTypeDynamic.h +++ b/src/DataTypes/DataTypeDynamic.h @@ -12,6 +12,9 @@ class DataTypeDynamic final : public IDataType public: static constexpr bool is_parametric = true; + /// Don't change this constant, it can break backward compatibility. + static constexpr size_t DEFAULT_MAX_DYNAMIC_TYPES = 32; + explicit DataTypeDynamic(size_t max_dynamic_types_ = DEFAULT_MAX_DYNAMIC_TYPES); TypeIndex getTypeId() const override { return TypeIndex::Dynamic; } @@ -43,8 +46,6 @@ public: size_t getMaxDynamicTypes() const { return max_dynamic_types; } private: - static constexpr size_t DEFAULT_MAX_DYNAMIC_TYPES = 32; - SerializationPtr doGetDefaultSerialization() const override; String doGetName() const override; diff --git a/src/DataTypes/DataTypeFactory.cpp b/src/DataTypes/DataTypeFactory.cpp index ca2ebdfbdbb..107d2d48135 100644 --- a/src/DataTypes/DataTypeFactory.cpp +++ b/src/DataTypes/DataTypeFactory.cpp @@ -273,9 +273,10 @@ DataTypeFactory::DataTypeFactory() registerDataTypeDomainSimpleAggregateFunction(*this); registerDataTypeDomainGeo(*this); registerDataTypeMap(*this); - registerDataTypeObject(*this); + registerDataTypeObjectDeprecated(*this); registerDataTypeVariant(*this); registerDataTypeDynamic(*this); + registerDataTypeJSON(*this); } DataTypeFactory & DataTypeFactory::instance() diff --git a/src/DataTypes/DataTypeFactory.h b/src/DataTypes/DataTypeFactory.h index a8324341691..7234c53551c 100644 --- a/src/DataTypes/DataTypeFactory.h +++ b/src/DataTypes/DataTypeFactory.h @@ -99,8 +99,9 @@ void registerDataTypeLowCardinality(DataTypeFactory & factory); void registerDataTypeDomainBool(DataTypeFactory & factory); void registerDataTypeDomainSimpleAggregateFunction(DataTypeFactory & factory); void registerDataTypeDomainGeo(DataTypeFactory & factory); -void registerDataTypeObject(DataTypeFactory & factory); +void registerDataTypeObjectDeprecated(DataTypeFactory & factory); void registerDataTypeVariant(DataTypeFactory & factory); void registerDataTypeDynamic(DataTypeFactory & factory); +void registerDataTypeJSON(DataTypeFactory & factory); } diff --git a/src/DataTypes/DataTypeObject.cpp b/src/DataTypes/DataTypeObject.cpp index 5fd69688194..d6395155397 100644 --- a/src/DataTypes/DataTypeObject.cpp +++ b/src/DataTypes/DataTypeObject.cpp @@ -1,83 +1,511 @@ -#include #include -#include +#include +#include +#include +#include +#include +#include #include #include #include +#include +#include +#include +#include +#include +#include +#include #include +#if USE_SIMDJSON +#include +#endif +#if USE_RAPIDJSON +#include +#endif +#include namespace DB { namespace ErrorCodes { - extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH; extern const int UNEXPECTED_AST_STRUCTURE; + extern const int BAD_ARGUMENTS; } -DataTypeObject::DataTypeObject(const String & schema_format_, bool is_nullable_) - : schema_format(Poco::toLower(schema_format_)) - , is_nullable(is_nullable_) +DataTypeObject::DataTypeObject( + const SchemaFormat & schema_format_, + std::unordered_map typed_paths_, + std::unordered_set paths_to_skip_, + std::vector path_regexps_to_skip_, + size_t max_dynamic_paths_, + size_t max_dynamic_types_) + : schema_format(schema_format_) + , typed_paths(std::move(typed_paths_)) + , paths_to_skip(std::move(paths_to_skip_)) + , path_regexps_to_skip(std::move(path_regexps_to_skip_)) + , max_dynamic_paths(max_dynamic_paths_) + , max_dynamic_types(max_dynamic_types_) +{ + for (const auto & [typed_path, type] : typed_paths) + { + for (const auto & path_to_skip : paths_to_skip) + { + if (typed_path.starts_with(path_to_skip)) + throw Exception(ErrorCodes::BAD_ARGUMENTS, "Path '{}' is specified with the data type ('{}') and matches the SKIP path prefix '{}'", typed_path, type->getName(), path_to_skip); + } + + for (const auto & path_regex_to_skip : path_regexps_to_skip) + { + if (re2::RE2::FullMatch(typed_path, re2::RE2(path_regex_to_skip))) + throw Exception(ErrorCodes::BAD_ARGUMENTS, "Path '{}' is specified with the data type ('{}') and matches the SKIP REGEXP '{}'", typed_path, type->getName(), path_regex_to_skip); + } + } +} + +DataTypeObject::DataTypeObject(const DB::DataTypeObject::SchemaFormat & schema_format_, size_t max_dynamic_paths_, size_t max_dynamic_types_) + : schema_format(schema_format_) + , max_dynamic_paths(max_dynamic_paths_) + , max_dynamic_types(max_dynamic_types_) { } bool DataTypeObject::equals(const IDataType & rhs) const { if (const auto * object = typeid_cast(&rhs)) - return schema_format == object->schema_format && is_nullable == object->is_nullable; + { + if (typed_paths.size() != object->typed_paths.size()) + return false; + + for (const auto & [path, type] : typed_paths) + { + auto it = object->typed_paths.find(path); + if (it == object->typed_paths.end()) + return false; + if (!type->equals(*it->second)) + return false; + } + + return schema_format == object->schema_format && paths_to_skip == object->paths_to_skip && path_regexps_to_skip == object->path_regexps_to_skip + && max_dynamic_types == object->max_dynamic_types && max_dynamic_paths == object->max_dynamic_paths; + } + return false; } SerializationPtr DataTypeObject::doGetDefaultSerialization() const { - return getObjectSerialization(schema_format); + std::unordered_map typed_path_serializations; + typed_path_serializations.reserve(typed_paths.size()); + for (const auto & [path, type] : typed_paths) + typed_path_serializations[path] = type->getDefaultSerialization(); + + switch (schema_format) + { + case SchemaFormat::JSON: +#ifdef USE_SIMDJSON + return std::make_shared>( + std::move(typed_path_serializations), + paths_to_skip, + path_regexps_to_skip, + buildJSONExtractTree(getPtr(), "JSON serialization")); +#elif USE_RAPIDJSON + return std::make_shared>( + std::move(typed_path_serializations), + paths_to_skip, + path_regexps_to_skip, + buildJSONExtractTree(getPtr(), "JSON serialization")); +#else + return std::make_shared>( + std::move(typed_path_serializations), + paths_to_skip, + path_regexps_to_skip, + buildJSONExtractTree(getPtr(), "JSON serialization")); +#endif + } } String DataTypeObject::doGetName() const { WriteBufferFromOwnString out; - if (is_nullable) - out << "Object(Nullable(" << quote << schema_format << "))"; - else - out << "Object(" << quote << schema_format << ")"; + out << magic_enum::enum_name(schema_format); + bool first = true; + auto write_separator = [&]() + { + if (!first) + { + out << ", "; + } + else + { + out << "("; + first = false; + } + }; + + if (max_dynamic_types != DataTypeDynamic::DEFAULT_MAX_DYNAMIC_TYPES) + { + write_separator(); + out << "max_dynamic_types=" << max_dynamic_types; + } + + if (max_dynamic_paths != DEFAULT_MAX_SEPARATELY_STORED_PATHS) + { + write_separator(); + out << "max_dynamic_paths=" << max_dynamic_paths; + } + + std::vector sorted_typed_paths; + sorted_typed_paths.reserve(typed_paths.size()); + for (const auto & [path, _] : typed_paths) + sorted_typed_paths.push_back(path); + std::sort(sorted_typed_paths.begin(), sorted_typed_paths.end()); + for (const auto & path : sorted_typed_paths) + { + write_separator(); + out << backQuoteIfNeed(path) << " " << typed_paths.at(path)->getName(); + } + + std::vector sorted_skip_paths; + sorted_skip_paths.reserve(paths_to_skip.size()); + for (const auto & skip_path : paths_to_skip) + sorted_skip_paths.push_back(skip_path); + std::sort(sorted_skip_paths.begin(), sorted_skip_paths.end()); + for (const auto & skip_path : sorted_skip_paths) + { + write_separator(); + out << "SKIP " << backQuoteIfNeed(skip_path); + } + + for (const auto & skip_regexp : path_regexps_to_skip) + { + write_separator(); + out << "SKIP REGEXP " << quoteString(skip_regexp); + } + + if (!first) + out << ")"; + return out.str(); } -static DataTypePtr create(const ASTPtr & arguments) +MutableColumnPtr DataTypeObject::createColumn() const { - if (!arguments || arguments->children.size() != 1) - throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH, - "Object data type family must have one argument - name of schema format"); + std::unordered_map typed_path_columns; + typed_path_columns.reserve(typed_paths.size()); + for (const auto & [path, type] : typed_paths) + typed_path_columns[path] = type->createColumn(); - ASTPtr schema_argument = arguments->children[0]; - bool is_nullable = false; + return ColumnObject::create(std::move(typed_path_columns), max_dynamic_paths, max_dynamic_types); +} - if (const auto * type = schema_argument->as()) +namespace +{ + +/// It is possible to have nested JSON object inside Dynamic. For example when we have an array of JSON objects. +/// During type inference in parsing in case of creating nested JSON objects, we reduce max_dynamic_paths/max_dynamic_types by factors +/// NESTED_OBJECT_MAX_DYNAMIC_PATHS_REDUCE_FACTOR/NESTED_OBJECT_MAX_DYNAMIC_TYPES_REDUCE_FACTOR. +/// So the type name will actually be JSON(max_dynamic_paths=N, max_dynamic_types=M). But we want the user to be able to query it +/// using json.array.:`Array(JSON)`.some.path without specifying max_dynamic_paths/max_dynamic_types. +/// To support it, we do a trick - we replace JSON name in subcolumn to JSON(max_dynamic_paths=N, max_dynamic_types=M), because we know +/// the exact values of max_dynamic_paths/max_dynamic_types for it. +void replaceJSONTypeNameIfNeeded(String & type_name, size_t max_dynamic_paths, size_t max_dynamic_types) +{ + auto pos = type_name.find("JSON"); + while (pos != String::npos) { - if (type->name != "Nullable" || type->arguments->children.size() != 1) - throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, - "Expected 'Nullable()' as parameter for type Object (function: {})", type->name); + /// Replace only if we don't already have parameters in JSON type declaration. + if (pos + 4 == type_name.size() || type_name[pos + 4] != '(') + type_name.replace( + pos, + 4, + fmt::format( + "JSON(max_dynamic_paths={}, max_dynamic_types={})", + max_dynamic_paths / DataTypeObject::NESTED_OBJECT_MAX_DYNAMIC_PATHS_REDUCE_FACTOR, + max_dynamic_types / DataTypeObject::NESTED_OBJECT_MAX_DYNAMIC_TYPES_REDUCE_FACTOR)); + pos = type_name.find("JSON", pos + 4); + } +} - schema_argument = type->arguments->children[0]; - is_nullable = true; +/// JSON subcolumn name with Dynamic type subcolumn looks like this: +/// "json.some.path.:`Type_name`.some.subcolumn". +/// We back quoted type name during identifier parsing so we can distinguish type subcolumn and path element ":TypeName". +std::pair splitPathAndDynamicTypeSubcolumn(std::string_view subcolumn_name, size_t max_dynamic_paths, size_t max_dynamic_types) +{ + /// Try to find dynamic type subcolumn in a form .:`Type`. + auto pos = subcolumn_name.find(".:`"); + if (pos == std::string_view::npos) + return {String(subcolumn_name), ""}; + + ReadBufferFromMemory buf(subcolumn_name.substr(pos + 2)); + String dynamic_subcolumn; + /// Try to read back quoted type name. + if (!tryReadBackQuotedString(dynamic_subcolumn, buf)) + return {String(subcolumn_name), ""}; + + replaceJSONTypeNameIfNeeded(dynamic_subcolumn, max_dynamic_paths, max_dynamic_types); + + /// If there is more data in the buffer - it's subcolumn of a type, append it to the type name. + if (!buf.eof()) + dynamic_subcolumn += String(buf.position(), buf.available()); + + return {String(subcolumn_name.substr(0, pos)), dynamic_subcolumn}; +} + +/// Sub-object subcolumn in JSON path always looks like "^`some`.path.path". +/// We back quote first path element after `^` so we can distinguish sub-object subcolumn and path element "^path". +std::optional tryGetSubObjectSubcolumn(std::string_view subcolumn_name) +{ + if (!subcolumn_name.starts_with("^`")) + return std::nullopt; + + ReadBufferFromMemory buf(subcolumn_name.data() + 1); + String path; + /// Try to read back-quoted first path element. + if (!tryReadBackQuotedString(path, buf)) + return std::nullopt; + + /// Add remaining path elements if any. + return path + String(buf.position(), buf.available()); +} + +/// Return sub-path by specified prefix. +/// For example, for prefix a.b: +/// a.b.c.d -> c.d, a.b.c -> c +String getSubPath(const String & path, const String & prefix) +{ + return path.substr(prefix.size() + 1); +} + +std::string_view getSubPath(std::string_view path, const String & prefix) +{ + return path.substr(prefix.size() + 1); +} + +} + +std::unique_ptr DataTypeObject::getDynamicSubcolumnData(std::string_view subcolumn_name, const SubstreamData & data, bool throw_if_null) const +{ + /// Check if it's sub-object subcolumn. + /// In this case we should return JSON column with all paths that are inside specified object prefix. + /// For example, if we have {"a" : {"b" : {"c" : {"d" : 10, "e" : "Hello"}, "f" : [1, 2, 3]}}} and subcolumn ^a.b + /// we should return JSON column with data {"c" : {"d" : 10, "e" : Hello}, "f" : [1, 2, 3]} + if (auto sub_object_subcolumn = tryGetSubObjectSubcolumn(subcolumn_name)) + { + const String & prefix = *sub_object_subcolumn; + /// Collect new typed paths. + std::unordered_map typed_sub_paths; + /// Collect serializations for typed paths. They will be needed for sub-object subcolumn deserialization. + std::unordered_map typed_paths_serializations; + for (const auto & [path, type] : typed_paths) + { + if (path.starts_with(prefix) && path.size() != prefix.size()) + { + typed_sub_paths[getSubPath(path, prefix)] = type; + typed_paths_serializations[path] = type->getDefaultSerialization(); + } + } + + std::unique_ptr res = std::make_unique(std::make_shared(prefix, typed_paths_serializations)); + /// Keep all current constraints like limits and skip paths/prefixes/regexps. + res->type = std::make_shared(schema_format, typed_sub_paths, paths_to_skip, path_regexps_to_skip, max_dynamic_paths, max_dynamic_types); + /// If column was provided, we should create a column for the requested subcolumn. + if (data.column) + { + const auto & object_column = assert_cast(*data.column); + + auto result_column = res->type->createColumn(); + auto & result_object_column = assert_cast(*result_column); + + /// Iterate over all typed/dynamic/shared data paths and collect all paths with specified prefix. + auto & result_typed_columns = result_object_column.getTypedPaths(); + for (const auto & [path, column] : object_column.getTypedPaths()) + { + if (path.starts_with(prefix) && path.size() != prefix.size()) + result_typed_columns[getSubPath(path, prefix)] = column; + } + + auto & result_dynamic_columns = result_object_column.getDynamicPaths(); + auto & result_dynamic_columns_ptrs = result_object_column.getDynamicPathsPtrs(); + for (const auto & [path, column] : object_column.getDynamicPaths()) + { + if (path.starts_with(prefix) && path.size() != prefix.size()) + { + auto sub_path = getSubPath(path, prefix); + result_dynamic_columns[sub_path] = column; + result_dynamic_columns_ptrs[sub_path] = assert_cast(result_dynamic_columns[sub_path].get()); + } + } + + const auto & shared_data_offsets = object_column.getSharedDataOffsets(); + const auto [shared_data_paths, shared_data_values] = object_column.getSharedDataPathsAndValues(); + auto & result_shared_data_offsets = result_object_column.getSharedDataOffsets(); + result_shared_data_offsets.reserve(shared_data_offsets.size()); + auto [result_shared_data_paths, result_shared_data_values] = result_object_column.getSharedDataPathsAndValues(); + for (size_t i = 0; i != shared_data_offsets.size(); ++i) + { + size_t start = shared_data_offsets[ssize_t(i) - 1]; + size_t end = shared_data_offsets[ssize_t(i)]; + size_t lower_bound_index = ColumnObject::findPathLowerBoundInSharedData(prefix, *shared_data_paths, start, end); + for (; lower_bound_index != end; ++lower_bound_index) + { + auto path = shared_data_paths->getDataAt(lower_bound_index).toView(); + if (!path.starts_with(prefix)) + break; + + /// Don't include path that is equal to the prefix. + if (path.size() != prefix.size()) + { + auto sub_path = getSubPath(path, prefix); + result_shared_data_paths->insertData(sub_path.data(), sub_path.size()); + result_shared_data_values->insertFrom(*shared_data_values, lower_bound_index); + } + } + result_shared_data_offsets.push_back(result_shared_data_paths->size()); + } + + res->column = std::move(result_column); + } + + return res; } - const auto * literal = schema_argument->as(); - if (!literal || literal->value.getType() != Field::Types::String) - throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, - "Object data type family must have a const string as its schema name parameter"); + /// Split requested subcolumn to the JSON path and Dynamic type subcolumn. + auto [path, path_subcolumn] = splitPathAndDynamicTypeSubcolumn(subcolumn_name, max_dynamic_paths, max_dynamic_types); + std::unique_ptr res; + if (auto it = typed_paths.find(path); it != typed_paths.end()) + { + res = std::make_unique(it->second->getDefaultSerialization()); + res->type = it->second; + } + else + { + res = std::make_unique(std::make_shared()); + res->type = std::make_shared(); + } - return std::make_shared(literal->value.safeGet(), is_nullable); + /// If column was provided, we should create a column for requested subcolumn. + if (data.column) + { + const auto & object_column = assert_cast(*data.column); + /// Try to find requested path in typed paths. + if (auto typed_it = object_column.getTypedPaths().find(path); typed_it != object_column.getTypedPaths().end()) + { + res->column = typed_it->second; + } + /// Try to find requested path in dynamic paths. + else if (auto dynamic_it = object_column.getDynamicPaths().find(path); dynamic_it != object_column.getDynamicPaths().end()) + { + res->column = dynamic_it->second; + } + /// Extract values of requested path from shared data. + else + { + auto dynamic_column = ColumnDynamic::create(max_dynamic_types); + dynamic_column->reserve(object_column.size()); + ColumnObject::fillPathColumnFromSharedData(*dynamic_column, path, object_column.getSharedDataPtr(), 0, object_column.size()); + res->column = std::move(dynamic_column); + } + } + + /// Get subcolumn for Dynamic type if needed. + if (!path_subcolumn.empty()) + { + res = res->type->getSubcolumnData(path_subcolumn, *res, throw_if_null); + if (!res) + return nullptr; + } + + if (typed_paths.contains(path)) + res->serialization = std::make_shared(res->serialization, path); + else + res->serialization = std::make_shared(res->serialization, path, path_subcolumn, max_dynamic_types); + + return res; } -void registerDataTypeObject(DataTypeFactory & factory) +static DataTypePtr createObject(const ASTPtr & arguments, const DataTypeObject::SchemaFormat & schema_format) { - factory.registerDataType("Object", create); - factory.registerSimpleDataType("JSON", - [] { return std::make_shared("JSON", false); }, - DataTypeFactory::Case::Insensitive); + if (!arguments || arguments->children.empty()) + return std::make_shared(schema_format); + + std::unordered_map typed_paths; + std::unordered_set paths_to_skip; + std::vector path_regexps_to_skip; + + size_t max_dynamic_types = DataTypeDynamic::DEFAULT_MAX_DYNAMIC_TYPES; + size_t max_dynamic_paths = DataTypeObject::DEFAULT_MAX_SEPARATELY_STORED_PATHS; + + for (const auto & argument : arguments->children) + { + const auto * object_type_argument = argument->as(); + if (object_type_argument->parameter) + { + const auto * function = object_type_argument->parameter->as(); + + if (!function || function->name != "equals") + throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, "Unexpected parameter in {} type arguments: {}", magic_enum::enum_name(schema_format), function->formatForErrorMessage()); + + const auto * identifier = function->arguments->children[0]->as(); + if (!identifier) + throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, "Unexpected {} type argument: {}. Expected expression 'max_dynamic_types=N' or 'max_dynamic_paths=N'", magic_enum::enum_name(schema_format), function->formatForErrorMessage()); + + auto identifier_name = identifier->name(); + if (identifier_name != "max_dynamic_types" && identifier_name != "max_dynamic_paths") + throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, "Unexpected parameter in {} type arguments: {}. Expected 'max_dynamic_types' or `max_dynamic_paths`", magic_enum::enum_name(schema_format), identifier_name); + + auto * literal = function->arguments->children[1]->as(); + /// Is 1000000 a good maximum for max paths? + size_t max_value = identifier_name == "max_dynamic_types" ? ColumnDynamic::MAX_DYNAMIC_TYPES_LIMIT : 1000000; + if (!literal || literal->value.getType() != Field::Types::UInt64 || literal->value.safeGet() > max_value) + throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, "'{}' parameter for {} type should be a positive integer between 0 and {}. Got {}", identifier_name, magic_enum::enum_name(schema_format), max_value, function->arguments->children[1]->formatForErrorMessage()); + + if (identifier_name == "max_dynamic_types") + max_dynamic_types = literal->value.safeGet(); + else + max_dynamic_paths = literal->value.safeGet(); + } + else if (object_type_argument->path_with_type) + { + const auto * path_with_type = object_type_argument->path_with_type->as(); + auto data_type = DataTypeFactory::instance().get(path_with_type->type); + if (typed_paths.contains(path_with_type->name)) + throw Exception(ErrorCodes::BAD_ARGUMENTS, "Found duplicated path with type: {}", path_with_type->name); + typed_paths.emplace(path_with_type->name, data_type); + } + else if (object_type_argument->skip_path) + { + const auto * identifier = object_type_argument->skip_path->as(); + if (!identifier) + throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, "Unexpected AST in SKIP section of {} type arguments: {}. Expected identifier with path name", magic_enum::enum_name(schema_format), object_type_argument->skip_path->formatForErrorMessage()); + + paths_to_skip.insert(identifier->name()); + } + else if (object_type_argument->skip_path_regexp) + { + const auto * literal = object_type_argument->skip_path_regexp->as(); + if (!literal || literal->value.getType() != Field::Types::String) + throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, "Unexpected AST in SKIP section of {} type arguments: {}. Expected identifier with path name", magic_enum::enum_name(schema_format), object_type_argument->skip_path->formatForErrorMessage()); + + path_regexps_to_skip.push_back(literal->value.safeGet()); + } + } + + std::sort(path_regexps_to_skip.begin(), path_regexps_to_skip.end()); + return std::make_shared(schema_format, std::move(typed_paths), std::move(paths_to_skip), std::move(path_regexps_to_skip), max_dynamic_paths, max_dynamic_types); +} + +static DataTypePtr createJSON(const ASTPtr & arguments) +{ + return createObject(arguments, DataTypeObject::SchemaFormat::JSON); +} + +void registerDataTypeJSON(DataTypeFactory & factory) +{ + if (!Context::getGlobalContextInstance()->getSettingsRef().use_json_alias_for_old_object_type) + factory.registerDataType("JSON", createJSON, DataTypeFactory::Case::Insensitive); } } diff --git a/src/DataTypes/DataTypeObject.h b/src/DataTypes/DataTypeObject.h index c610a1a8ba4..7eb2e7729de 100644 --- a/src/DataTypes/DataTypeObject.h +++ b/src/DataTypes/DataTypeObject.h @@ -1,48 +1,80 @@ #pragma once #include +#include #include -#include +#include +#include namespace DB { -namespace ErrorCodes -{ - extern const int NOT_IMPLEMENTED; -} - class DataTypeObject : public IDataType { -private: - String schema_format; - bool is_nullable; - public: - DataTypeObject(const String & schema_format_, bool is_nullable_); + enum class SchemaFormat + { + JSON = 0, + }; + + /// Don't change these constants, it can break backward compatibility. + static constexpr size_t DEFAULT_MAX_SEPARATELY_STORED_PATHS = 1024; + static constexpr size_t NESTED_OBJECT_MAX_DYNAMIC_PATHS_REDUCE_FACTOR = 4; + static constexpr size_t NESTED_OBJECT_MAX_DYNAMIC_TYPES_REDUCE_FACTOR = 2; + + explicit DataTypeObject( + const SchemaFormat & schema_format_, + std::unordered_map typed_paths_ = {}, + std::unordered_set paths_to_skip_ = {}, + std::vector path_regexps_to_skip_ = {}, + size_t max_dynamic_paths_ = DEFAULT_MAX_SEPARATELY_STORED_PATHS, + size_t max_dynamic_types_ = DataTypeDynamic::DEFAULT_MAX_DYNAMIC_TYPES); + + DataTypeObject(const SchemaFormat & schema_format_, size_t max_dynamic_paths_, size_t max_dynamic_types_); const char * getFamilyName() const override { return "Object"; } String doGetName() const override; TypeIndex getTypeId() const override { return TypeIndex::Object; } - MutableColumnPtr createColumn() const override { return ColumnObject::create(is_nullable); } + MutableColumnPtr createColumn() const override; - Field getDefault() const override - { - throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Method getDefault() is not implemented for data type {}", getName()); - } + Field getDefault() const override { return Object(); } - bool haveSubtypes() const override { return false; } - bool equals(const IDataType & rhs) const override; bool isParametric() const override { return true; } - bool hasDynamicSubcolumnsDeprecated() const override { return true; } + bool canBeInsideNullable() const override { return false; } + bool supportsSparseSerialization() const override { return false; } + bool canBeInsideSparseColumns() const override { return false; } + bool isComparable() const override { return false; } + bool haveSubtypes() const override { return false; } + + bool equals(const IDataType & rhs) const override; + + bool hasDynamicSubcolumnsData() const override { return true; } + std::unique_ptr getDynamicSubcolumnData(std::string_view subcolumn_name, const SubstreamData & data, bool throw_if_null) const override; SerializationPtr doGetDefaultSerialization() const override; - bool hasNullableSubcolumns() const { return is_nullable; } + const SchemaFormat & getSchemaFormat() const { return schema_format; } + const std::unordered_map & getTypedPaths() const { return typed_paths; } + const std::unordered_set & getPathsToSkip() const { return paths_to_skip; } + const std::vector & getPathRegexpsToSkip() const { return path_regexps_to_skip; } - const String & getSchemaFormat() const { return schema_format; } + size_t getMaxDynamicTypes() const { return max_dynamic_types; } + size_t getMaxDynamicPaths() const { return max_dynamic_paths; } + +private: + SchemaFormat schema_format; + /// Set of paths with types that were specified in type declaration. + std::unordered_map typed_paths; + /// Set of paths that should be skipped during data parsing. + std::unordered_set paths_to_skip; + /// List of regular expressions that should be used to skip paths during data parsing. + std::vector path_regexps_to_skip; + /// Limit on the number of paths that can be stored as subcolumn. + size_t max_dynamic_paths; + /// Limit of dynamic types that should be used for Dynamic columns. + size_t max_dynamic_types; }; } diff --git a/src/DataTypes/DataTypeObjectDeprecated.cpp b/src/DataTypes/DataTypeObjectDeprecated.cpp new file mode 100644 index 00000000000..07f9c116e58 --- /dev/null +++ b/src/DataTypes/DataTypeObjectDeprecated.cpp @@ -0,0 +1,87 @@ +#include +#include +#include + +#include +#include +#include +#include +#include + +#include +#include + +namespace DB +{ + +namespace ErrorCodes +{ + extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH; + extern const int UNEXPECTED_AST_STRUCTURE; +} + +DataTypeObjectDeprecated::DataTypeObjectDeprecated(const String & schema_format_, bool is_nullable_) + : schema_format(Poco::toLower(schema_format_)) + , is_nullable(is_nullable_) +{ +} + +bool DataTypeObjectDeprecated::equals(const IDataType & rhs) const +{ + if (const auto * object = typeid_cast(&rhs)) + return schema_format == object->schema_format && is_nullable == object->is_nullable; + return false; +} + +SerializationPtr DataTypeObjectDeprecated::doGetDefaultSerialization() const +{ + return getObjectSerialization(schema_format); +} + +String DataTypeObjectDeprecated::doGetName() const +{ + WriteBufferFromOwnString out; + if (is_nullable) + out << "Object(Nullable(" << quote << schema_format << "))"; + else + out << "Object(" << quote << schema_format << ")"; + return out.str(); +} + +static DataTypePtr create(const ASTPtr & arguments) +{ + if (!arguments || arguments->children.size() != 1) + throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH, + "Object data type family must have one argument - name of schema format"); + + ASTPtr schema_argument = arguments->children[0]; + bool is_nullable = false; + + if (const auto * type = schema_argument->as()) + { + if (type->name != "Nullable" || type->arguments->children.size() != 1) + throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, + "Expected 'Nullable()' as parameter for type Object (function: {})", type->name); + + schema_argument = type->arguments->children[0]; + is_nullable = true; + } + + const auto * literal = schema_argument->as(); + if (!literal || literal->value.getType() != Field::Types::String) + throw Exception(ErrorCodes::UNEXPECTED_AST_STRUCTURE, + "Object data type family must have a const string as its schema name parameter"); + + return std::make_shared(literal->value.safeGet(), is_nullable); +} + +void registerDataTypeObjectDeprecated(DataTypeFactory & factory) +{ + factory.registerDataType("Object", create); + if (Context::getGlobalContextInstance()->getSettingsRef().use_json_alias_for_old_object_type) + factory.registerSimpleDataType("JSON", + [] { return std::make_shared("JSON", false); }, + DataTypeFactory::Case::Insensitive); +} + +} diff --git a/src/DataTypes/DataTypeObjectDeprecated.h b/src/DataTypes/DataTypeObjectDeprecated.h new file mode 100644 index 00000000000..e1f81caaa4f --- /dev/null +++ b/src/DataTypes/DataTypeObjectDeprecated.h @@ -0,0 +1,48 @@ +#pragma once + +#include +#include +#include + + +namespace DB +{ + +namespace ErrorCodes +{ + extern const int NOT_IMPLEMENTED; +} + +class DataTypeObjectDeprecated : public IDataType +{ +private: + String schema_format; + bool is_nullable; + +public: + DataTypeObjectDeprecated(const String & schema_format_, bool is_nullable_); + + const char * getFamilyName() const override { return "Object"; } + String doGetName() const override; + TypeIndex getTypeId() const override { return TypeIndex::ObjectDeprecated; } + + MutableColumnPtr createColumn() const override { return ColumnObjectDeprecated::create(is_nullable); } + + Field getDefault() const override + { + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Method getDefault() is not implemented for data type {}", getName()); + } + + bool haveSubtypes() const override { return false; } + bool equals(const IDataType & rhs) const override; + bool isParametric() const override { return true; } + bool hasDynamicSubcolumnsDeprecated() const override { return true; } + + SerializationPtr doGetDefaultSerialization() const override; + + bool hasNullableSubcolumns() const { return is_nullable; } + + const String & getSchemaFormat() const { return schema_format; } +}; + +} diff --git a/src/DataTypes/DataTypeTuple.cpp b/src/DataTypes/DataTypeTuple.cpp index 67b4a0a5e31..75556ed4090 100644 --- a/src/DataTypes/DataTypeTuple.cpp +++ b/src/DataTypes/DataTypeTuple.cpp @@ -11,7 +11,7 @@ #include #include #include -#include +#include #include #include #include diff --git a/src/DataTypes/DataTypesBinaryEncoding.cpp b/src/DataTypes/DataTypesBinaryEncoding.cpp index 610f246265e..dc0f2f3f5aa 100644 --- a/src/DataTypes/DataTypesBinaryEncoding.cpp +++ b/src/DataTypes/DataTypesBinaryEncoding.cpp @@ -9,6 +9,7 @@ #include #include #include +#include #include #include #include @@ -94,8 +95,13 @@ enum class BinaryTypeIndex : uint8_t Bool = 0x2D, SimpleAggregateFunction = 0x2E, Nested = 0x2F, + JSON = 0x30, }; +/// In future we can introduce more arguments in the JSON data type definition. +/// To support such changes, use versioning in the serialization of JSON type. +const UInt8 TYPE_JSON_SERIALIZATION_VERSION = 0; + BinaryTypeIndex getBinaryTypeIndex(const DataTypePtr & type) { /// By default custom types don't have their own BinaryTypeIndex. @@ -202,7 +208,7 @@ BinaryTypeIndex getBinaryTypeIndex(const DataTypePtr & type) return BinaryTypeIndex::LowCardinality; case TypeIndex::Map: return BinaryTypeIndex::Map; - case TypeIndex::Object: + case TypeIndex::ObjectDeprecated: /// Object type will be deprecated and replaced by new implementation. No need to support it here. throw Exception(ErrorCodes::UNSUPPORTED_METHOD, "Binary encoding of type Object is not supported"); case TypeIndex::IPv4: @@ -216,6 +222,15 @@ BinaryTypeIndex getBinaryTypeIndex(const DataTypePtr & type) /// JSONPaths is used only during schema inference and cannot be used anywhere else. case TypeIndex::JSONPaths: throw Exception(ErrorCodes::UNSUPPORTED_METHOD, "Binary encoding of type JSONPaths is not supported"); + case TypeIndex::Object: + { + const auto & object_type = assert_cast(*type); + switch (object_type.getSchemaFormat()) + { + case DataTypeObject::SchemaFormat::JSON: + return BinaryTypeIndex::JSON; + } + } } } @@ -480,6 +495,30 @@ void encodeDataType(const DataTypePtr & type, WriteBuffer & buf) writeStringBinary(type_name, buf); break; } + case BinaryTypeIndex::JSON: + { + const auto & object_type = assert_cast(*type); + /// Write version of the serialization because we can add new arguments in the JSON type. + writeBinary(TYPE_JSON_SERIALIZATION_VERSION, buf); + writeVarUInt(object_type.getMaxDynamicPaths(), buf); + writeBinary(UInt8(object_type.getMaxDynamicTypes()), buf); + const auto & typed_paths = object_type.getTypedPaths(); + writeVarUInt(typed_paths.size(), buf); + for (const auto & [path, path_type] : typed_paths) + { + writeStringBinary(path, buf); + encodeDataType(path_type, buf); + } + const auto & paths_to_skip = object_type.getPathsToSkip(); + writeVarUInt(paths_to_skip.size(), buf); + for (const auto & path : paths_to_skip) + writeStringBinary(path, buf); + const auto & path_regexps_to_skip = object_type.getPathRegexpsToSkip(); + writeVarUInt(path_regexps_to_skip.size(), buf); + for (const auto & regexp : path_regexps_to_skip) + writeStringBinary(regexp, buf); + break; + } default: break; } @@ -691,6 +730,54 @@ DataTypePtr decodeDataType(ReadBuffer & buf) readStringBinary(type_name, buf); return DataTypeFactory::instance().get(type_name); } + case BinaryTypeIndex::JSON: + { + UInt8 serialization_version; + readBinary(serialization_version, buf); + if (serialization_version > TYPE_JSON_SERIALIZATION_VERSION) + throw Exception(ErrorCodes::INCORRECT_DATA, "Unexpected version of JSON type binary encoding"); + size_t max_dynamic_paths; + readVarUInt(max_dynamic_paths, buf); + UInt8 max_dynamic_types; + readBinary(max_dynamic_types, buf); + size_t typed_paths_size; + readVarUInt(typed_paths_size, buf); + std::unordered_map typed_paths; + for (size_t i = 0; i != typed_paths_size; ++i) + { + String path; + readStringBinary(path, buf); + typed_paths[path] = decodeDataType(buf); + } + size_t paths_to_skip_size; + readVarUInt(paths_to_skip_size, buf); + std::unordered_set paths_to_skip; + paths_to_skip.reserve(paths_to_skip_size); + for (size_t i = 0; i != paths_to_skip_size; ++i) + { + String path; + readStringBinary(path, buf); + paths_to_skip.insert(path); + } + + size_t path_regexps_to_skip_size; + readVarUInt(path_regexps_to_skip_size, buf); + std::vector path_regexps_to_skip; + path_regexps_to_skip.reserve(path_regexps_to_skip_size); + for (size_t i = 0; i != path_regexps_to_skip_size; ++i) + { + String regexp; + readStringBinary(regexp, buf); + path_regexps_to_skip.push_back(regexp); + } + return std::make_shared( + DataTypeObject::SchemaFormat::JSON, + typed_paths, + paths_to_skip, + path_regexps_to_skip, + max_dynamic_paths, + max_dynamic_types); + } } throw Exception(ErrorCodes::INCORRECT_DATA, "Unknown type code: {0:#04x}", UInt64(type)); diff --git a/src/DataTypes/DataTypesBinaryEncoding.h b/src/DataTypes/DataTypesBinaryEncoding.h index d02e7f85942..cdfbfee1ccf 100644 --- a/src/DataTypes/DataTypesBinaryEncoding.h +++ b/src/DataTypes/DataTypesBinaryEncoding.h @@ -8,58 +8,59 @@ namespace DB /** Binary encoding for ClickHouse data types: -|------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| ClickHouse data type | Binary encoding | -|------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| Nothing | 0x00 | -| UInt8 | 0x01 | -| UInt16 | 0x02 | -| UInt32 | 0x03 | -| UInt64 | 0x04 | -| UInt128 | 0x05 | -| UInt256 | 0x06 | -| Int8 | 0x07 | -| Int16 | 0x08 | -| Int32 | 0x09 | -| Int64 | 0x0A | -| Int128 | 0x0B | -| Int256 | 0x0C | -| Float32 | 0x0D | -| Float64 | 0x0E | -| Date | 0x0F | -| Date32 | 0x10 | -| DateTime | 0x11 | -| DateTime(time_zone) | 0x12 | -| DateTime64(P) | 0x13 | -| DateTime64(P, time_zone) | 0x14 | -| String | 0x15 | -| FixedString(N) | 0x16 | -| Enum8 | 0x17... | -| Enum16 | 0x18...> | -| Decimal32(P, S) | 0x19 | -| Decimal64(P, S) | 0x1A | -| Decimal128(P, S) | 0x1B | -| Decimal256(P, S) | 0x1C | -| UUID | 0x1D | -| Array(T) | 0x1E | -| Tuple(T1, ..., TN) | 0x1F... | -| Tuple(name1 T1, ..., nameN TN) | 0x20... | -| Set | 0x21 | -| Interval | 0x22 | -| Nullable(T) | 0x23 | -| Function | 0x24... | -| AggregateFunction(function_name(param_1, ..., param_N), arg_T1, ..., arg_TN) | 0x25...... | -| LowCardinality(T) | 0x26 | -| Map(K, V) | 0x27 | -| IPv4 | 0x28 | -| IPv6 | 0x29 | -| Variant(T1, ..., TN) | 0x2A... | -| Dynamic(max_types=N) | 0x2B | -| Custom type (Ring, Polygon, etc) | 0x2C | -| Bool | 0x2D | -| SimpleAggregateFunction(function_name(param_1, ..., param_N), arg_T1, ..., arg_TN) | 0x2E...... | -| Nested(name1 T1, ..., nameN TN) | 0x2F... | -|------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +|---------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| ClickHouse data type | Binary encoding | +|---------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| Nothing | 0x00 | +| UInt8 | 0x01 | +| UInt16 | 0x02 | +| UInt32 | 0x03 | +| UInt64 | 0x04 | +| UInt128 | 0x05 | +| UInt256 | 0x06 | +| Int8 | 0x07 | +| Int16 | 0x08 | +| Int32 | 0x09 | +| Int64 | 0x0A | +| Int128 | 0x0B | +| Int256 | 0x0C | +| Float32 | 0x0D | +| Float64 | 0x0E | +| Date | 0x0F | +| Date32 | 0x10 | +| DateTime | 0x11 | +| DateTime(time_zone) | 0x12 | +| DateTime64(P) | 0x13 | +| DateTime64(P, time_zone) | 0x14 | +| String | 0x15 | +| FixedString(N) | 0x16 | +| Enum8 | 0x17... | +| Enum16 | 0x18...> | +| Decimal32(P, S) | 0x19 | +| Decimal64(P, S) | 0x1A | +| Decimal128(P, S) | 0x1B | +| Decimal256(P, S) | 0x1C | +| UUID | 0x1D | +| Array(T) | 0x1E | +| Tuple(T1, ..., TN) | 0x1F... | +| Tuple(name1 T1, ..., nameN TN) | 0x20... | +| Set| 0x21 | +| Interval | 0x22 | +| Nullable(T) | 0x23 | +| Function | 0x24... | +| AggregateFunction(function_name(param_1, ..., param_N), arg_T1, ..., arg_TN) | 0x25...... | +| LowCardinality(T) | 0x26 | +| Map(K, V) | 0x27 | +| IPv4 | 0x28 | +| IPv6 | 0x29 | +| Variant(T1, ..., TN) | 0x2A... | +| Dynamic(max_types=N) | 0x2B | +| Custom type (Ring, Polygon, etc) | 0x2C | +| Bool | 0x2D | +| SimpleAggregateFunction(function_name(param_1, ..., param_N), arg_T1, ..., arg_TN) | 0x2E...... | +| Nested(name1 T1, ..., nameN TN) | 0x2F... | +| JSON(max_dynamic_paths=N, max_dynamic_types=M, path Type, SKIP skip_path, SKIP REGEXP skip_path_regexp) | 0x30......... | +|---------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| Interval kind binary encoding: |---------------|-----------------| diff --git a/src/DataTypes/FieldToDataType.cpp b/src/DataTypes/FieldToDataType.cpp index 03874279a0b..536d2656021 100644 --- a/src/DataTypes/FieldToDataType.cpp +++ b/src/DataTypes/FieldToDataType.cpp @@ -178,8 +178,7 @@ DataTypePtr FieldToDataType::operator() (const Map & map) const template DataTypePtr FieldToDataType::operator() (const Object &) const { - /// TODO: Do we need different parameters for type Object? - return std::make_shared("json", false); + return std::make_shared(DataTypeObject::SchemaFormat::JSON); } template diff --git a/src/DataTypes/IDataType.cpp b/src/DataTypes/IDataType.cpp index 824bc6e33b0..7fd8a85aeca 100644 --- a/src/DataTypes/IDataType.cpp +++ b/src/DataTypes/IDataType.cpp @@ -363,9 +363,10 @@ bool isArray(TYPE data_type) { return WhichDataType(data_type).isArray(); } \ bool isTuple(TYPE data_type) { return WhichDataType(data_type).isTuple(); } \ bool isMap(TYPE data_type) {return WhichDataType(data_type).isMap(); } \ bool isInterval(TYPE data_type) {return WhichDataType(data_type).isInterval(); } \ -bool isObject(TYPE data_type) { return WhichDataType(data_type).isObject(); } \ +bool isObjectDeprecated(TYPE data_type) { return WhichDataType(data_type).isObjectDeprecated(); } \ bool isVariant(TYPE data_type) { return WhichDataType(data_type).isVariant(); } \ bool isDynamic(TYPE data_type) { return WhichDataType(data_type).isDynamic(); } \ +bool isObject(TYPE data_type) { return WhichDataType(data_type).isObject(); } \ bool isNothing(TYPE data_type) { return WhichDataType(data_type).isNothing(); } \ \ bool isColumnedAsNumber(TYPE data_type) \ diff --git a/src/DataTypes/IDataType.h b/src/DataTypes/IDataType.h index 397ae3d8be9..a7665e610ab 100644 --- a/src/DataTypes/IDataType.h +++ b/src/DataTypes/IDataType.h @@ -432,7 +432,7 @@ struct WhichDataType constexpr bool isMap() const {return idx == TypeIndex::Map; } constexpr bool isSet() const { return idx == TypeIndex::Set; } constexpr bool isInterval() const { return idx == TypeIndex::Interval; } - constexpr bool isObject() const { return idx == TypeIndex::Object; } + constexpr bool isObjectDeprecated() const { return idx == TypeIndex::ObjectDeprecated; } constexpr bool isNothing() const { return idx == TypeIndex::Nothing; } constexpr bool isNullable() const { return idx == TypeIndex::Nullable; } @@ -444,6 +444,7 @@ struct WhichDataType constexpr bool isVariant() const { return idx == TypeIndex::Variant; } constexpr bool isDynamic() const { return idx == TypeIndex::Dynamic; } + constexpr bool isObject() const { return idx == TypeIndex::Object; } }; /// IDataType helpers (alternative for IDataType virtual methods with single point of truth) @@ -502,9 +503,10 @@ bool isArray(TYPE data_type); \ bool isTuple(TYPE data_type); \ bool isMap(TYPE data_type); \ bool isInterval(TYPE data_type); \ -bool isObject(TYPE data_type); \ +bool isObjectDeprecated(TYPE data_type); \ bool isVariant(TYPE data_type); \ bool isDynamic(TYPE data_type); \ +bool isObject(TYPE data_type); \ bool isNothing(TYPE data_type); \ \ bool isColumnedAsNumber(TYPE data_type); \ diff --git a/src/DataTypes/ObjectUtils.cpp b/src/DataTypes/ObjectUtils.cpp index fe8a5ede102..fb64199a1b0 100644 --- a/src/DataTypes/ObjectUtils.cpp +++ b/src/DataTypes/ObjectUtils.cpp @@ -4,7 +4,7 @@ #include #include #include -#include +#include #include #include #include @@ -16,7 +16,7 @@ #include #include #include -#include +#include #include #include #include @@ -180,12 +180,12 @@ static DataTypePtr recreateTupleWithElements(const DataTypeTuple & type_tuple, c } static std::pair convertObjectColumnToTuple( - const ColumnObject & column_object, const DataTypeObject & type_object) + const ColumnObjectDeprecated & column_object, const DataTypeObjectDeprecated & type_object) { if (!column_object.isFinalized()) { auto finalized = column_object.cloneFinalized(); - const auto & finalized_object = assert_cast(*finalized); + const auto & finalized_object = assert_cast(*finalized); return convertObjectColumnToTuple(finalized_object, type_object); } @@ -211,9 +211,9 @@ static std::pair recursivlyConvertDynamicColumnToTuple( if (!type->hasDynamicSubcolumnsDeprecated()) return {column, type}; - if (const auto * type_object = typeid_cast(type.get())) + if (const auto * type_object = typeid_cast(type.get())) { - const auto & column_object = assert_cast(*column); + const auto & column_object = assert_cast(*column); return convertObjectColumnToTuple(column_object, *type_object); } @@ -369,7 +369,7 @@ static DataTypePtr getLeastCommonTypeForObject(const DataTypes & types, bool che for (const auto & [key, subtypes] : subcolumns_types) { assert(!subtypes.empty()); - if (key.getPath() == ColumnObject::COLUMN_NAME_DUMMY) + if (key.getPath() == ColumnObjectDeprecated::COLUMN_NAME_DUMMY) continue; size_t first_dim = getNumberOfDimensions(*subtypes[0]); @@ -385,7 +385,7 @@ static DataTypePtr getLeastCommonTypeForObject(const DataTypes & types, bool che if (tuple_paths.empty()) { - tuple_paths.emplace_back(ColumnObject::COLUMN_NAME_DUMMY); + tuple_paths.emplace_back(ColumnObjectDeprecated::COLUMN_NAME_DUMMY); tuple_types.emplace_back(std::make_shared()); } @@ -452,7 +452,7 @@ static DataTypePtr getLeastCommonTypeForDynamicColumnsImpl( if (!type_in_storage->hasDynamicSubcolumnsDeprecated()) return type_in_storage; - if (isObject(type_in_storage)) + if (isObjectDeprecated(type_in_storage)) return getLeastCommonTypeForObject(concrete_types, check_ambiguos_paths); if (const auto * type_array = typeid_cast(type_in_storage.get())) @@ -494,9 +494,9 @@ DataTypePtr createConcreteEmptyDynamicColumn(const DataTypePtr & type_in_storage if (!type_in_storage->hasDynamicSubcolumnsDeprecated()) return type_in_storage; - if (isObject(type_in_storage)) + if (isObjectDeprecated(type_in_storage)) return std::make_shared( - DataTypes{std::make_shared()}, Names{ColumnObject::COLUMN_NAME_DUMMY}); + DataTypes{std::make_shared()}, Names{ColumnObjectDeprecated::COLUMN_NAME_DUMMY}); if (const auto * type_array = typeid_cast(type_in_storage.get())) return std::make_shared( @@ -838,7 +838,7 @@ DataTypePtr unflattenTuple(const PathsInData & paths, const DataTypes & tuple_ty return unflattenTuple(paths, tuple_types, tuple_columns).second; } -std::pair unflattenObjectToTuple(const ColumnObject & column) +std::pair unflattenObjectToTuple(const ColumnObjectDeprecated & column) { const auto & subcolumns = column.getSubcolumns(); @@ -846,7 +846,7 @@ std::pair unflattenObjectToTuple(const ColumnObject & co { auto type = std::make_shared( DataTypes{std::make_shared()}, - Names{ColumnObject::COLUMN_NAME_DUMMY}); + Names{ColumnObjectDeprecated::COLUMN_NAME_DUMMY}); return {type->createColumn()->cloneResized(column.size()), type}; } diff --git a/src/DataTypes/ObjectUtils.h b/src/DataTypes/ObjectUtils.h index 21e5c3b2f59..d4109b971a4 100644 --- a/src/DataTypes/ObjectUtils.h +++ b/src/DataTypes/ObjectUtils.h @@ -6,7 +6,7 @@ #include #include #include -#include +#include namespace DB { @@ -88,7 +88,7 @@ DataTypePtr unflattenTuple( const PathsInData & paths, const DataTypes & tuple_types); -std::pair unflattenObjectToTuple(const ColumnObject & column); +std::pair unflattenObjectToTuple(const ColumnObjectDeprecated & column); std::pair unflattenTuple( const PathsInData & paths, diff --git a/src/DataTypes/Serializations/ISerialization.cpp b/src/DataTypes/Serializations/ISerialization.cpp index 7642a6619b3..338edc3a144 100644 --- a/src/DataTypes/Serializations/ISerialization.cpp +++ b/src/DataTypes/Serializations/ISerialization.cpp @@ -202,6 +202,12 @@ String getNameForSubstreamPath( stream_name += "." + it->variant_element_name + ".null"; else if (it->type == SubstreamType::DynamicStructure) stream_name += ".dynamic_structure"; + else if (it->type == SubstreamType::ObjectStructure) + stream_name += ".object_structure"; + else if (it->type == SubstreamType::ObjectSharedData) + stream_name += ".object_shared_data"; + else if (it->type == SubstreamType::ObjectTypedPath || it->type == SubstreamType::ObjectDynamicPath) + stream_name += "." + it->object_path_name; } return stream_name; @@ -401,7 +407,17 @@ bool ISerialization::hasSubcolumnForPath(const SubstreamPath & path, size_t pref || path[last_elem].type == Substream::TupleElement || path[last_elem].type == Substream::ArraySizes || path[last_elem].type == Substream::VariantElement - || path[last_elem].type == Substream::VariantElementNullMap; + || path[last_elem].type == Substream::VariantElementNullMap + || path[last_elem].type == Substream::ObjectTypedPath; +} + +bool ISerialization::isEphemeralSubcolumn(const DB::ISerialization::SubstreamPath & path, size_t prefix_len) +{ + if (prefix_len == 0 || prefix_len > path.size()) + return false; + + size_t last_elem = prefix_len - 1; + return path[last_elem].type == Substream::VariantElementNullMap; } ISerialization::SubstreamData ISerialization::createFromPath(const SubstreamPath & path, size_t prefix_len) diff --git a/src/DataTypes/Serializations/ISerialization.h b/src/DataTypes/Serializations/ISerialization.h index 5d0bf60c59f..480d5a4f7c4 100644 --- a/src/DataTypes/Serializations/ISerialization.h +++ b/src/DataTypes/Serializations/ISerialization.h @@ -176,8 +176,8 @@ public: SparseElements, SparseOffsets, - ObjectStructure, - ObjectData, + DeprecatedObjectStructure, + DeprecatedObjectData, VariantDiscriminators, NamedVariantDiscriminators, @@ -189,6 +189,12 @@ public: DynamicData, DynamicStructure, + ObjectData, + ObjectTypedPath, + ObjectDynamicPath, + ObjectSharedData, + ObjectStructure, + Regular, }; @@ -203,6 +209,9 @@ public: /// Name of substream for type from 'named_types'. String name_of_substream; + /// Path name for Object type elements. + String object_path_name; + /// Data for current substream. SubstreamData data; @@ -263,13 +272,13 @@ public: bool use_compact_variant_discriminators_serialization = false; - enum class DynamicStatisticsMode + enum class ObjectAndDynamicStatisticsMode { NONE, /// Don't write statistics. PREFIX, /// Write statistics in prefix. SUFFIX, /// Write statistics in suffix. }; - DynamicStatisticsMode dynamic_write_statistics = DynamicStatisticsMode::NONE; + ObjectAndDynamicStatisticsMode object_and_dynamic_write_statistics = ObjectAndDynamicStatisticsMode::NONE; }; struct DeserializeBinaryBulkSettings @@ -290,7 +299,7 @@ public: /// If not zero, may be used to avoid reallocations while reading column of String type. double avg_value_size_hint = 0; - bool dynamic_read_statistics = false; + bool object_and_dynamic_read_statistics = false; }; /// Call before serializeBinaryBulkWithMultipleStreams chain to write something before first mark. @@ -440,6 +449,10 @@ public: static bool hasSubcolumnForPath(const SubstreamPath & path, size_t prefix_len); static SubstreamData createFromPath(const SubstreamPath & path, size_t prefix_len); + /// Returns true if subcolumn doesn't actually stores any data in column and doesn't require a separate stream + /// for writing/reading data. For example, it's a null-map subcolumn of Variant type (it's always constructed from discriminators);. + static bool isEphemeralSubcolumn(const SubstreamPath & path, size_t prefix_len); + protected: template State * checkAndGetState(const StatePtr & state) const; diff --git a/src/DataTypes/Serializations/SerializationDynamic.cpp b/src/DataTypes/Serializations/SerializationDynamic.cpp index 9cd0adcc2ed..6bba87c40fa 100644 --- a/src/DataTypes/Serializations/SerializationDynamic.cpp +++ b/src/DataTypes/Serializations/SerializationDynamic.cpp @@ -143,7 +143,7 @@ void SerializationDynamic::serializeBinaryBulkStatePrefix( } /// Write statistics in prefix if needed. - if (settings.dynamic_write_statistics == SerializeBinaryBulkSettings::DynamicStatisticsMode::PREFIX) + if (settings.object_and_dynamic_write_statistics == SerializeBinaryBulkSettings::ObjectAndDynamicStatisticsMode::PREFIX) { const auto & statistics = column_dynamic.getStatistics(); /// First, write statistics for usual variants. @@ -225,8 +225,8 @@ void SerializationDynamic::deserializeBinaryBulkStatePrefix( return; auto dynamic_state = std::make_shared(); - dynamic_state->structure_state = structure_state; - dynamic_state->variant_serialization = checkAndGetState(structure_state)->variant_type->getDefaultSerialization(); + dynamic_state->structure_state = std::move(structure_state); + dynamic_state->variant_serialization = checkAndGetState(dynamic_state->structure_state)->variant_type->getDefaultSerialization(); settings.path.push_back(Substream::DynamicData); dynamic_state->variant_serialization->deserializeBinaryBulkStatePrefix(settings, dynamic_state->variant_state, cache); @@ -243,7 +243,7 @@ ISerialization::DeserializeBinaryBulkStatePtr SerializationDynamic::deserializeD DeserializeBinaryBulkStatePtr state = nullptr; if (auto cached_state = getFromSubstreamsDeserializeStatesCache(cache, settings.path)) { - state = cached_state; + state = std::move(cached_state); } else if (auto * structure_stream = settings.getter(settings.path)) { @@ -277,16 +277,12 @@ ISerialization::DeserializeBinaryBulkStatePtr SerializationDynamic::deserializeD auto variant_type = std::make_shared(variants); /// Read statistics. - if (settings.dynamic_read_statistics) + if (settings.object_and_dynamic_read_statistics) { ColumnDynamic::Statistics statistics(ColumnDynamic::Statistics::Source::READ); /// First, read statistics for usual variants. - size_t variant_size; for (const auto & variant : variant_type->getVariants()) - { - readVarUInt(variant_size, *structure_stream); - statistics.variants_statistics[variant->getName()] = variant_size; - } + readVarUInt(statistics.variants_statistics[variant->getName()], *structure_stream); /// Second, read statistics for shared variants. size_t statistics_size; @@ -295,8 +291,7 @@ ISerialization::DeserializeBinaryBulkStatePtr SerializationDynamic::deserializeD for (size_t i = 0; i != statistics_size; ++i) { readStringBinary(variant_name, *structure_stream); - readVarUInt(variant_size, *structure_stream); - statistics.shared_variants_statistics[variant_name] = variant_size; + readVarUInt(statistics.shared_variants_statistics[variant_name], *structure_stream); } structure_state->statistics = std::make_shared(std::move(statistics)); @@ -320,10 +315,10 @@ void SerializationDynamic::serializeBinaryBulkStateSuffix( settings.path.pop_back(); if (!stream) - throw Exception(ErrorCodes::LOGICAL_ERROR, "Missing stream for Dynamic column structure during serialization of binary bulk state prefix"); + throw Exception(ErrorCodes::LOGICAL_ERROR, "Missing stream for Dynamic column structure during serialization of binary bulk state suffix"); /// Write statistics in suffix if needed. - if (settings.dynamic_write_statistics == SerializeBinaryBulkSettings::DynamicStatisticsMode::SUFFIX) + if (settings.object_and_dynamic_write_statistics == SerializeBinaryBulkSettings::ObjectAndDynamicStatisticsMode::SUFFIX) { /// First, write statistics for usual variants. for (const auto & variant_name : dynamic_state->variant_names) @@ -348,6 +343,18 @@ void SerializationDynamic::serializeBinaryBulkWithMultipleStreams( size_t limit, SerializeBinaryBulkSettings & settings, SerializeBinaryBulkStatePtr & state) const +{ + size_t tmp_size; + serializeBinaryBulkWithMultipleStreamsAndCountTotalSizeOfVariants(column, offset, limit, settings, state, tmp_size); +} + +void SerializationDynamic::serializeBinaryBulkWithMultipleStreamsAndCountTotalSizeOfVariants( + const IColumn & column, + size_t offset, + size_t limit, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state, + size_t & total_size_of_variants) const { const auto & column_dynamic = assert_cast(column); auto * dynamic_state = checkAndGetState(state); @@ -361,10 +368,18 @@ void SerializationDynamic::serializeBinaryBulkWithMultipleStreams( throw Exception(ErrorCodes::LOGICAL_ERROR, "Mismatch of max_dynamic_types parameter of Dynamic. Expected: {}, Got: {}", dynamic_state->max_dynamic_types, column_dynamic.getMaxDynamicTypes()); settings.path.push_back(Substream::DynamicData); + assert_cast(*dynamic_state->variant_serialization) + .serializeBinaryBulkWithMultipleStreamsAndUpdateVariantStatistics( + *variant_column, + offset, + limit, + settings, + dynamic_state->variant_state, + dynamic_state->statistics.variants_statistics, + total_size_of_variants); + if (dynamic_state->recalculate_statistics) { - assert_cast(*dynamic_state->variant_serialization) - .serializeBinaryBulkWithMultipleStreamsAndUpdateVariantStatistics(*variant_column, offset, limit, settings, dynamic_state->variant_state, dynamic_state->statistics.variants_statistics); /// Calculate statistics for shared variants. const auto & shared_variant = column_dynamic.getSharedVariant(); if (!shared_variant.empty()) @@ -389,10 +404,6 @@ void SerializationDynamic::serializeBinaryBulkWithMultipleStreams( } } } - else - { - assert_cast(*dynamic_state->variant_serialization).serializeBinaryBulkWithMultipleStreams(*variant_column, offset, limit, settings, dynamic_state->variant_state); - } settings.path.pop_back(); } @@ -753,6 +764,12 @@ void SerializationDynamic::serializeTextJSON(const IColumn & column, size_t row_ serializeTextImpl(column, row_num, ostr, settings, nested_serialize); } +void SerializationDynamic::serializeTextJSONPretty(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const +{ + const auto & dynamic_column = assert_cast(column); + dynamic_column.getVariantInfo().variant_type->getDefaultSerialization()->serializeTextJSONPretty(dynamic_column.getVariantColumn(), row_num, ostr, settings, indent); +} + void SerializationDynamic::deserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const { auto read_field = [&settings](ReadBuffer & buf) diff --git a/src/DataTypes/Serializations/SerializationDynamic.h b/src/DataTypes/Serializations/SerializationDynamic.h index 3dbf311fb6c..f34b5d0e770 100644 --- a/src/DataTypes/Serializations/SerializationDynamic.h +++ b/src/DataTypes/Serializations/SerializationDynamic.h @@ -1,6 +1,7 @@ #pragma once #include +#include #include namespace DB @@ -11,7 +12,7 @@ class SerializationDynamicElement; class SerializationDynamic : public ISerialization { public: - explicit SerializationDynamic(size_t max_dynamic_types_) : max_dynamic_types(max_dynamic_types_) + explicit SerializationDynamic(size_t max_dynamic_types_ = DataTypeDynamic::DEFAULT_MAX_DYNAMIC_TYPES) : max_dynamic_types(max_dynamic_types_) { } @@ -59,6 +60,14 @@ public: SerializeBinaryBulkSettings & settings, SerializeBinaryBulkStatePtr & state) const override; + void serializeBinaryBulkWithMultipleStreamsAndCountTotalSizeOfVariants( + const IColumn & column, + size_t offset, + size_t limit, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state, + size_t & total_size_of_variants) const; + void deserializeBinaryBulkWithMultipleStreams( ColumnPtr & column, size_t limit, @@ -89,6 +98,7 @@ public: bool tryDeserializeTextCSV(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; void serializeTextJSON(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void serializeTextJSONPretty(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const override; void deserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; bool tryDeserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; diff --git a/src/DataTypes/Serializations/SerializationDynamicElement.cpp b/src/DataTypes/Serializations/SerializationDynamicElement.cpp index cffca14bca5..a16186abf2e 100644 --- a/src/DataTypes/Serializations/SerializationDynamicElement.cpp +++ b/src/DataTypes/Serializations/SerializationDynamicElement.cpp @@ -53,6 +53,7 @@ void SerializationDynamicElement::enumerateStreams( .withColumn(data.column) .withSerializationInfo(data.serialization_info) .withDeserializeState(deserialize_state->variant_element_state); + settings.path.back().data = variant_data; deserialize_state->variant_serialization->enumerateStreams(settings, callback, variant_data); settings.path.pop_back(); } diff --git a/src/DataTypes/Serializations/SerializationJSON.cpp b/src/DataTypes/Serializations/SerializationJSON.cpp new file mode 100644 index 00000000000..092ccd1c5a5 --- /dev/null +++ b/src/DataTypes/Serializations/SerializationJSON.cpp @@ -0,0 +1,405 @@ +#include +#include +#include + +#if USE_SIMDJSON +#include +#endif +#if USE_RAPIDJSON +#include +#endif +#include + +namespace DB +{ + +namespace ErrorCodes +{ + extern const int INCORRECT_DATA; +} + +template +SerializationJSON::SerializationJSON( + std::unordered_map typed_paths_serializations_, + const std::unordered_set & paths_to_skip_, + const std::vector & path_regexps_to_skip_, + std::unique_ptr> json_extract_tree_) + : SerializationObject(std::move(typed_paths_serializations_), paths_to_skip_, path_regexps_to_skip_) + , json_extract_tree(std::move(json_extract_tree_)) +{ +} + +namespace +{ + +/// Struct that represents elements of the JSON path. +/// "a.b.c" -> ["a", "b", "c"] +struct PathElements +{ + explicit PathElements(const String & path) + { + const char * start = path.data(); + const char * end = start + path.size(); + const char * pos = start; + const char * last_dot_pos = pos - 1; + for (pos = start; pos != end; ++pos) + { + if (*pos == '.') + { + elements.emplace_back(last_dot_pos + 1, size_t(pos - last_dot_pos - 1)); + last_dot_pos = pos; + } + } + + elements.emplace_back(last_dot_pos + 1, size_t(pos - last_dot_pos - 1)); + } + + size_t size() const { return elements.size(); } + + std::vector elements; +}; + +/// Struct that represents a prefix of a JSON path. Used during output of the JSON object. +struct Prefix +{ + /// Shrink current prefix to the common prefix of current prefix and specified path. + /// For example, if current prefix is a.b.c.d and path is a.b.e, then shrink the prefix to a.b. + void shrinkToCommonPrefix(const PathElements & path_elements) + { + /// Don't include last element in path_elements in the prefix. + size_t i = 0; + while (i != elements.size() && i != (path_elements.elements.size() - 1) && elements[i].first == path_elements.elements[i]) + ++i; + elements.resize(i); + } + + /// Check is_first flag in current object. + bool isFirstInCurrentObject() const + { + if (elements.empty()) + return root_is_first_flag; + return elements.back().second; + } + + /// Set flag is_first = false in current object. + void setNotFirstInCurrentObject() + { + if (elements.empty()) + root_is_first_flag = false; + else + elements.back().second = false; + } + + size_t size() const { return elements.size(); } + + /// Elements of the prefix: (path element, is_first flag in this prefix). + /// is_first flag indicates if we already serialized some key in the object with such prefix. + std::vector> elements; + bool root_is_first_flag = true; +}; + +} + +template +void SerializationJSON::serializeTextImpl(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, bool pretty, size_t indent) const +{ + const auto & column_object = assert_cast(column); + const auto & typed_paths = column_object.getTypedPaths(); + const auto & dynamic_paths = column_object.getDynamicPaths(); + const auto & shared_data_offsets = column_object.getSharedDataOffsets(); + const auto [shared_data_paths, shared_data_values] = column_object.getSharedDataPathsAndValues(); + size_t shared_data_offset = shared_data_offsets[static_cast(row_num) - 1]; + size_t shared_data_end = shared_data_offsets[static_cast(row_num)]; + + /// We need to convert the set of paths in this row to a JSON object. + /// To do it, we first collect all the paths from current row, then we sort them + /// and construct the resulting JSON object by iterating over sorted list of paths. + /// For example: + /// b.c, a.b, a.a, b.e, g, h.u.t -> a.a, a.b, b.c, b.e, g, h.u.t -> {"a" : {"a" : ..., "b" : ...}, "b" : {"c" : ..., "e" : ...}, "g" : ..., "h" : {"u" : {"t" : ...}}}. + std::vector sorted_paths; + sorted_paths.reserve(typed_paths.size() + dynamic_paths.size() + (shared_data_end - shared_data_offset)); + for (const auto & [path, _] : typed_paths) + sorted_paths.emplace_back(path); + for (const auto & [path, dynamic_column] : dynamic_paths) + { + /// We consider null value and absence of the path in a row as equivalent cases, because we cannot actually distinguish them. + /// So, we don't output null values at all. + if (!dynamic_column->isNullAt(row_num)) + sorted_paths.emplace_back(path); + } + for (size_t i = shared_data_offset; i != shared_data_end; ++i) + { + auto path = shared_data_paths->getDataAt(i).toString(); + sorted_paths.emplace_back(path); + } + + std::sort(sorted_paths.begin(), sorted_paths.end()); + + if (pretty) + writeCString("{\n", ostr); + else + writeChar('{', ostr); + size_t index_in_shared_data_values = shared_data_offset; + /// current_prefix represents the path of the object we are currently serializing keys in. + Prefix current_prefix; + for (const auto & path : sorted_paths) + { + PathElements path_elements(path); + /// Change prefix to common prefix between current prefix and current path. + /// If prefix changed (it can only decrease), close all finished objects. + /// For example: + /// Current prefix: a.b.c.d + /// Current path: a.b.e.f + /// It means now we have : {..., "a" : {"b" : {"c" : {"d" : ... + /// Common prefix will be a.b, so it means we should close objects a.b.c.d and a.b.c: {..., "a" : {"b" : {"c" : {"d" : ...}} + /// and continue serializing keys in object a.b + size_t prev_prefix_size = current_prefix.size(); + current_prefix.shrinkToCommonPrefix(path_elements); + size_t prefix_size = current_prefix.size(); + if (prefix_size != prev_prefix_size) + { + size_t objects_to_close = prev_prefix_size - prefix_size; + if (pretty) + { + writeChar('\n', ostr); + for (size_t i = 0; i != objects_to_close; ++i) + { + writeChar(' ', (indent + prefix_size + objects_to_close - i) * 4, ostr); + if (i != objects_to_close - 1) + writeCString("}\n", ostr); + else + writeChar('}', ostr); + } + } + else + { + for (size_t i = 0; i != objects_to_close; ++i) + writeChar('}', ostr); + } + } + + /// Now we are inside object that has common prefix with current path. + /// We should go inside all objects in current path. + /// From the example above we should open object a.b.e: + /// {..., "a" : {"b" : {"c" : {"d" : ...}}, "e" : { + if (prefix_size + 1 < path_elements.size()) + { + for (size_t i = prefix_size; i != path_elements.size() - 1; ++i) + { + /// Write comma before the key if it's not the first key in this prefix. + if (!current_prefix.isFirstInCurrentObject()) + { + if (pretty) + writeCString(",\n", ostr); + else + writeChar(',', ostr); + } + else + { + current_prefix.setNotFirstInCurrentObject(); + } + + if (pretty) + { + writeChar(' ', (indent + i + 1) * 4, ostr); + writeJSONString(path_elements.elements[i], ostr, settings); + writeCString(" : {\n", ostr); + } + else + { + writeJSONString(path_elements.elements[i], ostr, settings); + writeCString(":{", ostr); + } + + /// Update current prefix. + current_prefix.elements.emplace_back(path_elements.elements[i], true); + } + } + + /// Write comma before the key if it's not the first key in this prefix. + if (!current_prefix.isFirstInCurrentObject()) + { + if (pretty) + writeCString(",\n", ostr); + else + writeChar(',', ostr); + } + else + { + current_prefix.setNotFirstInCurrentObject(); + } + + if (pretty) + { + writeChar(' ', (indent + current_prefix.size() + 1) * 4, ostr); + writeJSONString(path_elements.elements.back(), ostr, settings); + writeCString(" : ", ostr); + } + else + { + writeJSONString(path_elements.elements.back(), ostr, settings); + writeCString(":", ostr); + } + + /// Serialize value of current path. + if (auto typed_it = typed_paths.find(path); typed_it != typed_paths.end()) + { + if (pretty) + typed_path_serializations.at(path)->serializeTextJSONPretty(*typed_it->second, row_num, ostr, settings, indent + current_prefix.size() + 1); + else + typed_path_serializations.at(path)->serializeTextJSON(*typed_it->second, row_num, ostr, settings); + } + else if (auto dynamic_it = dynamic_paths.find(path); dynamic_it != dynamic_paths.end()) + { + if (pretty) + dynamic_serialization->serializeTextJSONPretty(*dynamic_it->second, row_num, ostr, settings, indent + current_prefix.size() + 1); + else + dynamic_serialization->serializeTextJSON(*dynamic_it->second, row_num, ostr, settings); + } + else + { + /// To serialize value stored in shared data we should first deserialize it from binary format. + auto tmp_dynamic_column = ColumnDynamic::create(); + tmp_dynamic_column->reserve(1); + column_object.deserializeValueFromSharedData(shared_data_values, index_in_shared_data_values++, *tmp_dynamic_column); + + if (pretty) + dynamic_serialization->serializeTextJSONPretty(*tmp_dynamic_column, 0, ostr, settings, indent + current_prefix.size() + 1); + else + dynamic_serialization->serializeTextJSON(*tmp_dynamic_column, 0, ostr, settings); + } + } + + /// Close all remaining open objects. + if (pretty) + { + writeChar('\n', ostr); + for (size_t i = 0; i != current_prefix.elements.size(); ++i) + { + writeChar(' ', (indent + current_prefix.size() - i) * 4, ostr); + writeCString("}\n", ostr); + } + writeChar(' ', indent * 4, ostr); + writeChar('}', ostr); + } + else + { + for (size_t i = 0; i != current_prefix.elements.size(); ++i) + writeChar('}', ostr); + writeChar('}', ostr); + } +} + +template +void SerializationJSON::deserializeTextImpl(IColumn & column, std::string_view object, const FormatSettings & settings) const +{ + typename Parser::Element document; + auto parser = parsers_pool.get([] { return new Parser; }); + if (!parser->parse(object, document)) + throw Exception(ErrorCodes::INCORRECT_DATA, "Cannot parse JSON object here: {}", object); + + String error; + if (!json_extract_tree->insertResultToColumn(column, document, insert_settings, settings, error)) + throw Exception(ErrorCodes::INCORRECT_DATA, "Cannot insert data into JSON column: {}", error); +} + +template +void SerializationJSON::serializeText(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + serializeTextImpl(column, row_num, ostr, settings); +} + +template +void SerializationJSON::deserializeWholeText(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const +{ + String object; + readStringUntilEOF(object, istr); + deserializeTextImpl(column, object, settings); +} + +template +void SerializationJSON::serializeTextEscaped(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + WriteBufferFromOwnString buf; + serializeTextImpl(column, row_num, buf, settings); + writeEscapedString(buf.str(), ostr); +} + +template +void SerializationJSON::deserializeTextEscaped(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const +{ + String object; + readEscapedString(object, istr); + deserializeTextImpl(column, object, settings); +} + +template +void SerializationJSON::serializeTextQuoted(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + WriteBufferFromOwnString buf; + serializeTextImpl(column, row_num, buf, settings); + writeQuotedString(buf.str(), ostr); +} + +template +void SerializationJSON::deserializeTextQuoted(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const +{ + String object; + readQuotedString(object, istr); + deserializeTextImpl(column, object, settings); +} + +template +void SerializationJSON::serializeTextCSV(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + WriteBufferFromOwnString buf; + serializeTextImpl(column, row_num, buf, settings); + writeCSVString(buf.str(), ostr); +} + +template +void SerializationJSON::deserializeTextCSV(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const +{ + String object; + readCSVString(object, istr, settings.csv); + deserializeTextImpl(column, object, settings); +} + +template +void SerializationJSON::serializeTextXML(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + WriteBufferFromOwnString buf; + serializeTextImpl(column, row_num, buf, settings); + writeXMLStringForTextElement(buf.str(), ostr); +} + +template +void SerializationJSON::serializeTextJSON(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + serializeTextImpl(column, row_num, ostr, settings); +} + +template +void SerializationJSON::serializeTextJSONPretty(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const +{ + serializeTextImpl(column, row_num, ostr, settings, true, indent); +} + +template +void SerializationJSON::deserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const +{ + String object_buffer; + auto object_view = readJSONObjectAsViewPossiblyInvalid(istr, object_buffer); + deserializeTextImpl(column, object_view, settings); +} + +#if USE_SIMDJSON +template class SerializationJSON; +#endif +#if USE_RAPIDJSON +template class SerializationJSON; +#else +template class SerializationJSON; +#endif + +} diff --git a/src/DataTypes/Serializations/SerializationJSON.h b/src/DataTypes/Serializations/SerializationJSON.h new file mode 100644 index 00000000000..934c94527f3 --- /dev/null +++ b/src/DataTypes/Serializations/SerializationJSON.h @@ -0,0 +1,49 @@ +#pragma once + +#include +#include +#include + +namespace DB +{ + +/// Class for text serialization/deserialization of the JSON data type. +template +class SerializationJSON : public SerializationObject +{ +public: + SerializationJSON( + std::unordered_map typed_paths_serializations_, + const std::unordered_set & paths_to_skip_, + const std::vector & path_regexps_to_skip_, + std::unique_ptr> json_extract_tree_); + + void serializeTextEscaped(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void deserializeTextEscaped(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; + + void serializeTextQuoted(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void deserializeTextQuoted(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; + + void serializeText(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void deserializeWholeText(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; + + void serializeTextCSV(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void deserializeTextCSV(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; + + void serializeTextJSON(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void serializeTextJSONPretty(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const override; + void deserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; + + void serializeTextXML(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + +private: + void serializeTextImpl(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, bool pretty = false, size_t indent = 0) const; + void deserializeTextImpl(IColumn & column, std::string_view object, const FormatSettings & settings) const; + + std::unique_ptr> json_extract_tree; + JSONExtractInsertSettings insert_settings; + /// Pool of parser objects to make SerializationJSON thread safe. + mutable SimpleObjectPool parsers_pool; +}; + +} diff --git a/src/DataTypes/Serializations/SerializationLowCardinality.cpp b/src/DataTypes/Serializations/SerializationLowCardinality.cpp index 40071c4607a..3195a04d348 100644 --- a/src/DataTypes/Serializations/SerializationLowCardinality.cpp +++ b/src/DataTypes/Serializations/SerializationLowCardinality.cpp @@ -268,9 +268,16 @@ void SerializationLowCardinality::serializeBinaryBulkStateSuffix( void SerializationLowCardinality::deserializeBinaryBulkStatePrefix( DeserializeBinaryBulkSettings & settings, DeserializeBinaryBulkStatePtr & state, - SubstreamsDeserializeStatesCache * /*cache*/) const + SubstreamsDeserializeStatesCache * cache) const { settings.path.push_back(Substream::DictionaryKeys); + + if (auto cached_state = getFromSubstreamsDeserializeStatesCache(cache, settings.path)) + { + state = std::move(cached_state); + return; + } + auto * stream = settings.getter(settings.path); settings.path.pop_back(); diff --git a/src/DataTypes/Serializations/SerializationObject.cpp b/src/DataTypes/Serializations/SerializationObject.cpp index c6c87b5aa7b..2dd25e540cc 100644 --- a/src/DataTypes/Serializations/SerializationObject.cpp +++ b/src/DataTypes/Serializations/SerializationObject.cpp @@ -1,586 +1,793 @@ #include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include +#include -#include -#include -#include -#include -#include -#include +#include +#include +#include +#include +#include namespace DB { namespace ErrorCodes { - extern const int NOT_IMPLEMENTED; extern const int INCORRECT_DATA; - extern const int CANNOT_READ_ALL_DATA; - extern const int ARGUMENT_OUT_OF_BOUND; - extern const int CANNOT_PARSE_TEXT; - extern const int EXPERIMENTAL_FEATURE_ERROR; + extern const int LOGICAL_ERROR; } -template -template -void SerializationObject::deserializeTextImpl(IColumn & column, Reader && reader) const +SerializationObject::SerializationObject( + std::unordered_map typed_path_serializations_, + const std::unordered_set & paths_to_skip_, + const std::vector & path_regexps_to_skip_) + : typed_path_serializations(std::move(typed_path_serializations_)) + , paths_to_skip(paths_to_skip_) + , dynamic_serialization(std::make_shared()) + , shared_data_serialization(getTypeOfSharedData()->getDefaultSerialization()) { - auto & column_object = assert_cast(column); + /// We will need sorted order of typed paths to serialize them in order for consistency. + sorted_typed_paths.reserve(typed_path_serializations.size()); + for (const auto & [path, _] : typed_path_serializations) + sorted_typed_paths.emplace_back(path); + std::sort(sorted_typed_paths.begin(), sorted_typed_paths.end()); + sorted_paths_to_skip.assign(paths_to_skip.begin(), paths_to_skip.end()); + std::sort(sorted_paths_to_skip.begin(), sorted_paths_to_skip.end()); + for (const auto & regexp_str : path_regexps_to_skip_) + path_regexps_to_skip.emplace_back(regexp_str); +} - String buf; - reader(buf); - std::optional result; +const DataTypePtr & SerializationObject::getTypeOfSharedData() +{ + /// Array(Tuple(String, String)) + static const DataTypePtr type = std::make_shared(std::make_shared(DataTypes{std::make_shared(), std::make_shared()}, Names{"paths", "values"})); + return type; +} - /// Treat empty string as an empty object - /// for better CAST from String to Object. - if (!buf.empty()) +bool SerializationObject::shouldSkipPath(const String & path) const +{ + if (paths_to_skip.contains(path)) + return true; + + auto it = std::lower_bound(sorted_paths_to_skip.begin(), sorted_paths_to_skip.end(), path); + if (it != sorted_paths_to_skip.end() && it != sorted_paths_to_skip.begin() && path.starts_with(*std::prev(it))) + return true; + + for (const auto & regexp : path_regexps_to_skip) { - auto parser = parsers_pool.get([] { return new Parser; }); - result = parser->parse(buf.data(), buf.size()); - } - else - { - result = ParseResult{}; + if (re2::RE2::FullMatch(path, regexp)) + return true; } - if (!result) - throw Exception(ErrorCodes::INCORRECT_DATA, "Cannot parse object"); + return false; +} - auto & [paths, values] = *result; - assert(paths.size() == values.size()); +SerializationObject::ObjectSerializationVersion::ObjectSerializationVersion(UInt64 version) : value(static_cast(version)) +{ + checkVersion(version); +} - size_t old_column_size = column_object.size(); - for (size_t i = 0; i < paths.size(); ++i) +void SerializationObject::ObjectSerializationVersion::checkVersion(UInt64 version) +{ + if (version != BASIC) + throw Exception(ErrorCodes::INCORRECT_DATA, "Invalid version for Object structure serialization."); +} + +struct SerializeBinaryBulkStateObject: public ISerialization::SerializeBinaryBulkState +{ + SerializationObject::ObjectSerializationVersion serialization_version; + size_t max_dynamic_paths; + std::vector sorted_dynamic_paths; + std::unordered_map typed_path_states; + std::unordered_map dynamic_path_states; + ISerialization::SerializeBinaryBulkStatePtr shared_data_state; + /// Paths statistics. + ColumnObject::Statistics statistics; + /// If true, statistics will be recalculated during serialization. + bool recalculate_statistics = false; + + explicit SerializeBinaryBulkStateObject(UInt64 serialization_version_) + : serialization_version(serialization_version_), statistics(ColumnObject::Statistics::Source::READ) { - auto field_info = getFieldInfo(values[i]); - if (field_info.need_fold_dimension) - values[i] = applyVisitor(FieldVisitorFoldDimension(field_info.num_dimensions), std::move(values[i])); - if (isNothing(field_info.scalar_type)) - continue; + } +}; - if (!column_object.hasSubcolumn(paths[i])) +struct DeserializeBinaryBulkStateObject : public ISerialization::DeserializeBinaryBulkState +{ + std::unordered_map typed_path_states; + std::unordered_map dynamic_path_states; + ISerialization::DeserializeBinaryBulkStatePtr shared_data_state; + ISerialization::DeserializeBinaryBulkStatePtr structure_state; +}; + +void SerializationObject::enumerateStreams(EnumerateStreamsSettings & settings, const StreamCallback & callback, const SubstreamData & data) const +{ + settings.path.push_back(Substream::ObjectStructure); + callback(settings.path); + settings.path.pop_back(); + + const auto * column_object = data.column ? &assert_cast(*data.column) : nullptr; + const auto * type_object = data.type ? &assert_cast(*data.type) : nullptr; + const auto * deserialize_state = data.deserialize_state ? checkAndGetState(data.deserialize_state) : nullptr; + const auto * structure_state = deserialize_state ? checkAndGetState(deserialize_state->structure_state) : nullptr; + settings.path.push_back(Substream::ObjectData); + + /// First, iterate over typed paths in sorted order, we will always serialize them. + for (const auto & path : sorted_typed_paths) + { + settings.path.back().creator = std::make_shared(path); + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + const auto & serialization = typed_path_serializations.at(path); + auto path_data = SubstreamData(serialization) + .withType(type_object ? type_object->getTypedPaths().at(path) : nullptr) + .withColumn(column_object ? column_object->getTypedPaths().at(path) : nullptr) + .withSerializationInfo(data.serialization_info) + .withDeserializeState(deserialize_state ? deserialize_state->typed_path_states.at(path) : nullptr); + settings.path.back().data = path_data; + serialization->enumerateStreams(settings, callback, path_data); + settings.path.pop_back(); + settings.path.back().creator.reset(); + } + + /// If column or deserialization state was provided, iterate over dynamic paths, + if (column_object || structure_state) + { + /// Enumerate dynamic paths in sorted order for consistency. + const auto * dynamic_paths = column_object ? &column_object->getDynamicPaths() : nullptr; + std::vector sorted_dynamic_paths; + /// If we have deserialize_state we can take sorted dynamic paths list from it. + if (structure_state) { - if (paths[i].hasNested()) - column_object.addNestedSubcolumn(paths[i], field_info, old_column_size); - else - column_object.addSubcolumn(paths[i], old_column_size); + sorted_dynamic_paths = structure_state->sorted_dynamic_paths; + } + else + { + sorted_dynamic_paths.reserve(dynamic_paths->size()); + for (const auto & [path, _] : *dynamic_paths) + sorted_dynamic_paths.push_back(path); + std::sort(sorted_dynamic_paths.begin(), sorted_dynamic_paths.end()); } - auto & subcolumn = column_object.getSubcolumn(paths[i]); - assert(subcolumn.size() == old_column_size); - - subcolumn.insert(std::move(values[i]), std::move(field_info)); - } - - /// Insert default values to missed subcolumns. - const auto & subcolumns = column_object.getSubcolumns(); - for (const auto & entry : subcolumns) - { - if (entry->data.size() == old_column_size) + DataTypePtr dynamic_type = std::make_shared(); + for (const auto & path : sorted_dynamic_paths) { - bool inserted = column_object.tryInsertDefaultFromNested(entry); - if (!inserted) - entry->data.insertDefault(); + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = path; + auto path_data = SubstreamData(dynamic_serialization) + .withType(dynamic_type) + .withColumn(dynamic_paths ? dynamic_paths->at(path) : nullptr) + .withSerializationInfo(data.serialization_info) + .withDeserializeState(deserialize_state ? deserialize_state->dynamic_path_states.at(path) : nullptr); + settings.path.back().data = path_data; + dynamic_serialization->enumerateStreams(settings, callback, path_data); + settings.path.pop_back(); } } - column_object.incrementNumRows(); + settings.path.push_back(Substream::ObjectSharedData); + auto shared_data_substream_data = SubstreamData(shared_data_serialization) + .withType(getTypeOfSharedData()) + .withColumn(column_object ? column_object->getSharedDataPtr() : nullptr) + .withSerializationInfo(data.serialization_info) + .withDeserializeState(deserialize_state ? deserialize_state->shared_data_state : nullptr); + shared_data_serialization->enumerateStreams(settings, callback, shared_data_substream_data); + settings.path.pop_back(); + settings.path.pop_back(); } -template -void SerializationObject::deserializeWholeText(IColumn & column, ReadBuffer & istr, const FormatSettings &) const -{ - deserializeTextImpl(column, [&](String & s) { readStringInto(s, istr); }); -} - -template -void SerializationObject::deserializeTextEscaped(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const -{ - deserializeTextImpl(column, [&](String & s) { settings.tsv.crlf_end_of_line_input ? readEscapedStringCRLF(s, istr) : readEscapedString(s, istr); }); -} - -template -void SerializationObject::deserializeTextQuoted(IColumn & column, ReadBuffer & istr, const FormatSettings &) const -{ - deserializeTextImpl(column, [&](String & s) { readQuotedStringInto(s, istr); }); -} - -template -void SerializationObject::deserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings &) const -{ - deserializeTextImpl(column, [&](String & s) { Parser::readJSON(s, istr); }); -} - -template -void SerializationObject::deserializeTextCSV(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const -{ - deserializeTextImpl(column, [&](String & s) { readCSVStringInto(s, istr, settings.csv); }); -} - -template -template -void SerializationObject::checkSerializationIsSupported(const TSettings & settings) const -{ - if (settings.position_independent_encoding) - throw Exception(ErrorCodes::NOT_IMPLEMENTED, - "DataTypeObject doesn't support serialization with position independent encoding"); -} - -template -struct SerializationObject::SerializeStateObject : public ISerialization::SerializeBinaryBulkState -{ - DataTypePtr nested_type; - SerializationPtr nested_serialization; - SerializeBinaryBulkStatePtr nested_state; -}; - -template -struct SerializationObject::DeserializeStateObject : public ISerialization::DeserializeBinaryBulkState -{ - BinarySerializationKind kind; - DataTypePtr nested_type; - SerializationPtr nested_serialization; - DeserializeBinaryBulkStatePtr nested_state; -}; - -template -void SerializationObject::serializeBinaryBulkStatePrefix( +void SerializationObject::serializeBinaryBulkStatePrefix( const IColumn & column, SerializeBinaryBulkSettings & settings, SerializeBinaryBulkStatePtr & state) const { - checkSerializationIsSupported(settings); - if (state) - throw Exception(ErrorCodes::NOT_IMPLEMENTED, - "DataTypeObject doesn't support serialization with non-trivial state"); - const auto & column_object = assert_cast(column); - if (!column_object.isFinalized()) - { - auto finalized = column_object.cloneFinalized(); - serializeBinaryBulkStatePrefix(*finalized, settings, state); - return; - } + const auto & typed_paths = column_object.getTypedPaths(); + const auto & dynamic_paths = column_object.getDynamicPaths(); + const auto & shared_data = column_object.getSharedDataPtr(); settings.path.push_back(Substream::ObjectStructure); auto * stream = settings.getter(settings.path); + settings.path.pop_back(); if (!stream) - throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, "Missing stream for kind of binary serialization"); + throw Exception(ErrorCodes::LOGICAL_ERROR, "Missing stream for Object column structure during serialization of binary bulk state prefix"); - auto [tuple_column, tuple_type] = unflattenObjectToTuple(column_object); + /// Write serialization version. + UInt64 serialization_version = ObjectSerializationVersion::Value::BASIC; + writeBinaryLittleEndian(serialization_version, *stream); - writeIntBinary(static_cast(BinarySerializationKind::TUPLE), *stream); - writeStringBinary(tuple_type->getName(), *stream); + auto object_state = std::make_shared(serialization_version); + object_state->max_dynamic_paths = column_object.getMaxDynamicPaths(); + /// Write max_dynamic_paths parameter. + writeBinaryLittleEndian(object_state->max_dynamic_paths, *stream); + /// Write all dynamic paths in sorted order. + object_state->sorted_dynamic_paths.reserve(dynamic_paths.size()); + for (const auto & [path, _] : dynamic_paths) + object_state->sorted_dynamic_paths.push_back(path); + std::sort(object_state->sorted_dynamic_paths.begin(), object_state->sorted_dynamic_paths.end()); + writeVarUInt(object_state->sorted_dynamic_paths.size(), *stream); + for (const auto & path : object_state->sorted_dynamic_paths) + writeStringBinary(path, *stream); - auto state_object = std::make_shared(); - state_object->nested_type = tuple_type; - state_object->nested_serialization = tuple_type->getDefaultSerialization(); + /// Write statistics in prefix if needed. + if (settings.object_and_dynamic_write_statistics == SerializeBinaryBulkSettings::ObjectAndDynamicStatisticsMode::PREFIX) + { + const auto & statistics = column_object.getStatistics(); + /// First, write statistics for dynamic paths. + for (const auto & path : object_state->sorted_dynamic_paths) + { + size_t number_of_non_null_values = 0; + /// Check if we can use statistics stored in the column. There are 2 possible sources + /// of this statistics: + /// - statistics calculated during merge of some data parts (Statistics::Source::MERGE) + /// - statistics read from the data part during deserialization of Object column (Statistics::Source::READ). + /// We can rely only on statistics calculated during the merge, because column with statistics that was read + /// during deserialization from some data part could be filtered/limited/transformed/etc and so the statistics can be outdated. + if (statistics && statistics->source == ColumnObject::Statistics::Source::MERGE) + number_of_non_null_values = statistics->dynamic_paths_statistics.at(path); + /// Otherwise we can use only path column from current object column. + else + number_of_non_null_values = (dynamic_paths.at(path)->size() - dynamic_paths.at(path)->getNumberOfDefaultRows()); + writeVarUInt(number_of_non_null_values, *stream); + } - settings.path.back() = Substream::ObjectData; - state_object->nested_serialization->serializeBinaryBulkStatePrefix(*tuple_column, settings, state_object->nested_state); + /// Second, write statistics for paths in shared data. + /// Check if we have statistics calculated during merge of some data parts (Statistics::Source::MERGE). + if (statistics && statistics->source == ColumnObject::Statistics::Source::MERGE) + { + writeVarUInt(statistics->shared_data_paths_statistics.size(), *stream); + for (const auto & [path, size] : statistics->shared_data_paths_statistics) + { + writeStringBinary(path, *stream); + writeVarUInt(size, *stream); + } + } + /// If we don't have statistics for shared data from merge, calculate it from the column. + else + { + std::unordered_map shared_data_paths_statistics; + const auto [shared_data_paths, _] = column_object.getSharedDataPathsAndValues(); + for (size_t i = 0; i != shared_data_paths->size(); ++i) + { + auto path = shared_data_paths->getDataAt(i).toView(); + if (auto it = shared_data_paths_statistics.find(path); it != shared_data_paths_statistics.end()) + ++it->second; + else if (shared_data_paths_statistics.size() < ColumnObject::Statistics::MAX_SHARED_DATA_STATISTICS_SIZE) + shared_data_paths_statistics.emplace(path, 1); + } - state = std::move(state_object); - settings.path.pop_back(); -} - -template -void SerializationObject::serializeBinaryBulkStateSuffix( - SerializeBinaryBulkSettings & settings, - SerializeBinaryBulkStatePtr & state) const -{ - checkSerializationIsSupported(settings); - auto * state_object = checkAndGetState(state); + writeVarUInt(shared_data_paths_statistics.size(), *stream); + for (const auto & [path, size] : shared_data_paths_statistics) + { + writeStringBinary(path, *stream); + writeVarUInt(size, *stream); + } + } + } + /// Otherwise statistics will be written in the suffix, in this case we will recalculate + /// statistics during serialization to make it more precise. + else + { + object_state->recalculate_statistics = true; + } settings.path.push_back(Substream::ObjectData); - state_object->nested_serialization->serializeBinaryBulkStateSuffix(settings, state_object->nested_state); + + for (const auto & path : sorted_typed_paths) + { + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + typed_path_serializations.at(path)->serializeBinaryBulkStatePrefix(*typed_paths.at(path), settings, object_state->typed_path_states[path]); + settings.path.pop_back(); + } + + for (const auto & path : object_state->sorted_dynamic_paths) + { + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = path; + dynamic_serialization->serializeBinaryBulkStatePrefix(*dynamic_paths.at(path), settings, object_state->dynamic_path_states[path]); + settings.path.pop_back(); + } + + settings.path.push_back(Substream::ObjectSharedData); + shared_data_serialization->serializeBinaryBulkStatePrefix(*shared_data, settings, object_state->shared_data_state); settings.path.pop_back(); + settings.path.pop_back(); + + state = std::move(object_state); } -template -void SerializationObject::deserializeBinaryBulkStatePrefix( +void SerializationObject::deserializeBinaryBulkStatePrefix( DeserializeBinaryBulkSettings & settings, DeserializeBinaryBulkStatePtr & state, SubstreamsDeserializeStatesCache * cache) const { - checkSerializationIsSupported(settings); - if (state) - throw Exception(ErrorCodes::NOT_IMPLEMENTED, - "DataTypeObject doesn't support serialization with non-trivial state"); + auto structure_state = deserializeObjectStructureStatePrefix(settings, cache); + if (!structure_state) + return; - settings.path.push_back(Substream::ObjectStructure); - auto * stream = settings.getter(settings.path); - settings.path.pop_back(); - - if (!stream) - throw Exception(ErrorCodes::CANNOT_READ_ALL_DATA, - "Cannot read kind of binary serialization of DataTypeObject, because its stream is missing"); - - UInt8 kind_raw; - readIntBinary(kind_raw, *stream); - auto kind = magic_enum::enum_cast(kind_raw); - if (!kind) - throw Exception(ErrorCodes::INCORRECT_DATA, - "Unknown binary serialization kind of Object: {}", std::to_string(kind_raw)); - - auto state_object = std::make_shared(); - state_object->kind = *kind; - - if (state_object->kind == BinarySerializationKind::TUPLE) - { - String data_type_name; - readStringBinary(data_type_name, *stream); - state_object->nested_type = DataTypeFactory::instance().get(data_type_name); - state_object->nested_serialization = state_object->nested_type->getDefaultSerialization(); - - if (!isTuple(state_object->nested_type)) - throw Exception(ErrorCodes::INCORRECT_DATA, - "Data of type Object should be written as Tuple, got: {}", data_type_name); - } - else if (state_object->kind == BinarySerializationKind::STRING) - { - state_object->nested_type = std::make_shared(); - state_object->nested_serialization = std::make_shared(); - } - else - { - throw Exception(ErrorCodes::INCORRECT_DATA, - "Unknown binary serialization kind of Object: {}", std::to_string(kind_raw)); - } + auto object_state = std::make_shared(); + object_state->structure_state = std::move(structure_state); settings.path.push_back(Substream::ObjectData); - state_object->nested_serialization->deserializeBinaryBulkStatePrefix(settings, state_object->nested_state, cache); + + for (const auto & path : sorted_typed_paths) + { + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + typed_path_serializations.at(path)->deserializeBinaryBulkStatePrefix(settings, object_state->typed_path_states[path], cache); + settings.path.pop_back(); + } + + const auto & sorted_dynamic_paths = checkAndGetState(object_state->structure_state)->sorted_dynamic_paths; + for (const auto & path : sorted_dynamic_paths) + { + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = path; + dynamic_serialization->deserializeBinaryBulkStatePrefix(settings, object_state->dynamic_path_states[path], cache); + settings.path.pop_back(); + } + + settings.path.push_back(Substream::ObjectSharedData); + shared_data_serialization->deserializeBinaryBulkStatePrefix(settings, object_state->shared_data_state, cache); + settings.path.pop_back(); settings.path.pop_back(); - state = std::move(state_object); + state = std::move(object_state); } -template -void SerializationObject::serializeBinaryBulkWithMultipleStreams( +ISerialization::DeserializeBinaryBulkStatePtr SerializationObject::deserializeObjectStructureStatePrefix( + DeserializeBinaryBulkSettings & settings, SubstreamsDeserializeStatesCache * cache) +{ + settings.path.push_back(Substream::ObjectStructure); + + DeserializeBinaryBulkStatePtr state = nullptr; + /// Check if we already deserialized this state. It can happen when we read both object column and its subcolumns. + if (auto cached_state = getFromSubstreamsDeserializeStatesCache(cache, settings.path)) + { + state = cached_state; + } + else if (auto * structure_stream = settings.getter(settings.path)) + { + /// Read structure serialization version. + UInt64 serialization_version; + readBinaryLittleEndian(serialization_version, *structure_stream); + auto structure_state = std::make_shared(serialization_version); + /// Read max_dynamic_paths parameter. + readBinaryLittleEndian(structure_state->max_dynamic_paths, *structure_stream); + /// Read the sorted list of dynamic paths. + size_t dynamic_paths_size; + readVarUInt(dynamic_paths_size, *structure_stream); + structure_state->sorted_dynamic_paths.reserve(dynamic_paths_size); + structure_state->dynamic_paths.reserve(dynamic_paths_size); + for (size_t i = 0; i != dynamic_paths_size; ++i) + { + structure_state->sorted_dynamic_paths.emplace_back(); + readStringBinary(structure_state->sorted_dynamic_paths.back(), *structure_stream); + structure_state->dynamic_paths.insert(structure_state->sorted_dynamic_paths.back()); + } + + /// Read statistics if needed. + if (settings.object_and_dynamic_read_statistics) + { + ColumnObject::Statistics statistics(ColumnObject::Statistics::Source::READ); + statistics.dynamic_paths_statistics.reserve(structure_state->sorted_dynamic_paths.size()); + /// First, read dynamic paths statistics. + for (const auto & path : structure_state->sorted_dynamic_paths) + readVarUInt(statistics.dynamic_paths_statistics[path], *structure_stream); + + /// Second, read shared data paths statistics. + size_t size; + readVarUInt(size, *structure_stream); + statistics.shared_data_paths_statistics.reserve(size); + String path; + for (size_t i = 0; i != size; ++i) + { + readStringBinary(path, *structure_stream); + readVarUInt(statistics.shared_data_paths_statistics[path], *structure_stream); + } + + structure_state->statistics = std::make_shared(std::move(statistics)); + } + + state = std::move(structure_state); + addToSubstreamsDeserializeStatesCache(cache, settings.path, state); + } + + settings.path.pop_back(); + return state; +} + +void SerializationObject::serializeBinaryBulkWithMultipleStreams( const IColumn & column, size_t offset, size_t limit, SerializeBinaryBulkSettings & settings, SerializeBinaryBulkStatePtr & state) const { - checkSerializationIsSupported(settings); const auto & column_object = assert_cast(column); - auto * state_object = checkAndGetState(state); + const auto & typed_paths = column_object.getTypedPaths(); + const auto & dynamic_paths = column_object.getDynamicPaths(); + const auto & shared_data = column_object.getSharedDataPtr(); + auto * object_state = checkAndGetState(state); - if (!column_object.isFinalized()) - { - auto finalized = column_object.cloneFinalized(); - serializeBinaryBulkWithMultipleStreams(*finalized, offset, limit, settings, state); - return; - } + if (column_object.getMaxDynamicPaths() != object_state->max_dynamic_paths) + throw Exception(ErrorCodes::LOGICAL_ERROR, "Mismatch of max_dynamic_paths parameter of Object. Expected: {}, Got: {}", object_state->max_dynamic_paths, column_object.getMaxDynamicPaths()); - auto [tuple_column, tuple_type] = unflattenObjectToTuple(column_object); - - if (!state_object->nested_type->equals(*tuple_type)) - { - throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, - "Types of internal column of Object mismatched. Expected: {}, Got: {}", - state_object->nested_type->getName(), tuple_type->getName()); - } + if (column_object.getDynamicPaths().size() != object_state->sorted_dynamic_paths.size()) + throw Exception(ErrorCodes::LOGICAL_ERROR, "Mismatch of number of dynamic paths in Object. Expected: {}, Got: {}", object_state->sorted_dynamic_paths.size(), column_object.getDynamicPaths().size()); settings.path.push_back(Substream::ObjectData); - if (auto * stream = settings.getter(settings.path)) + + for (const auto & path : sorted_typed_paths) { - state_object->nested_serialization->serializeBinaryBulkWithMultipleStreams( - *tuple_column, offset, limit, settings, state_object->nested_state); + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + typed_path_serializations.at(path)->serializeBinaryBulkWithMultipleStreams(*typed_paths.at(path), offset, limit, settings, object_state->typed_path_states[path]); + settings.path.pop_back(); } + const auto * dynamic_serialization_typed = assert_cast(dynamic_serialization.get()); + for (const auto & path : object_state->sorted_dynamic_paths) + { + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = path; + auto it = dynamic_paths.find(path); + if (it == dynamic_paths.end()) + throw Exception(ErrorCodes::LOGICAL_ERROR, "Dynamic structure mismatch for Object column: dynamic path '{}' is not found in the column", path); + if (object_state->recalculate_statistics) + { + size_t number_of_non_null_values = 0; + dynamic_serialization_typed->serializeBinaryBulkWithMultipleStreamsAndCountTotalSizeOfVariants(*it->second, offset, limit, settings, object_state->dynamic_path_states[path], number_of_non_null_values); + object_state->statistics.dynamic_paths_statistics[path] += number_of_non_null_values; + } + else + { + dynamic_serialization_typed->serializeBinaryBulkWithMultipleStreams(*it->second, offset, limit, settings, object_state->dynamic_path_states[path]); + } + settings.path.pop_back(); + } + + settings.path.push_back(Substream::ObjectSharedData); + shared_data_serialization->serializeBinaryBulkWithMultipleStreams(*shared_data, offset, limit, settings, object_state->shared_data_state); + if (object_state->recalculate_statistics) + { + /// Calculate statistics for paths in shared data. + const auto [shared_data_paths, _] = column_object.getSharedDataPathsAndValues(); + const auto & shared_data_offsets = column_object.getSharedDataOffsets(); + size_t start = shared_data_offsets[offset - 1]; + size_t end = limit == 0 || offset + limit > shared_data_offsets.size() ? shared_data_paths->size() : shared_data_offsets[offset + limit - 1]; + for (size_t i = start; i != end; ++i) + { + auto path = shared_data_paths->getDataAt(i).toView(); + if (auto it = object_state->statistics.shared_data_paths_statistics.find(path); it != object_state->statistics.shared_data_paths_statistics.end()) + ++it->second; + else if (object_state->statistics.shared_data_paths_statistics.size() < ColumnObject::Statistics::MAX_SHARED_DATA_STATISTICS_SIZE) + object_state->statistics.shared_data_paths_statistics.emplace(path, 1); + } + } + settings.path.pop_back(); settings.path.pop_back(); } -template -void SerializationObject::deserializeBinaryBulkWithMultipleStreams( +void SerializationObject::serializeBinaryBulkStateSuffix( + SerializeBinaryBulkSettings & settings, SerializeBinaryBulkStatePtr & state) const +{ + auto * object_state = checkAndGetState(state); + settings.path.push_back(Substream::ObjectStructure); + auto * stream = settings.getter(settings.path); + settings.path.pop_back(); + + if (!stream) + throw Exception(ErrorCodes::LOGICAL_ERROR, "Missing stream for Object column structure during serialization of binary bulk state suffix"); + + /// Write statistics in suffix if needed. + if (settings.object_and_dynamic_write_statistics == SerializeBinaryBulkSettings::ObjectAndDynamicStatisticsMode::SUFFIX) + { + /// First, write dynamic paths statistics. + for (const auto & path : object_state->sorted_dynamic_paths) + writeVarUInt(object_state->statistics.dynamic_paths_statistics[path], *stream); + + /// Second, write shared data paths statistics. + writeVarUInt(object_state->statistics.shared_data_paths_statistics.size(), *stream); + for (const auto & [path, size] : object_state->statistics.shared_data_paths_statistics) + { + writeStringBinary(path, *stream); + writeVarUInt(size, *stream); + } + } + + settings.path.push_back(Substream::ObjectData); + + for (const auto & path : sorted_typed_paths) + { + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + typed_path_serializations.at(path)->serializeBinaryBulkStateSuffix(settings, object_state->typed_path_states[path]); + settings.path.pop_back(); + } + + for (const auto & path : object_state->sorted_dynamic_paths) + { + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = path; + dynamic_serialization->serializeBinaryBulkStateSuffix(settings, object_state->dynamic_path_states[path]); + settings.path.pop_back(); + } + + settings.path.push_back(Substream::ObjectSharedData); + shared_data_serialization->serializeBinaryBulkStateSuffix(settings, object_state->shared_data_state); + settings.path.pop_back(); + settings.path.pop_back(); +} + +void SerializationObject::deserializeBinaryBulkWithMultipleStreams( ColumnPtr & column, size_t limit, DeserializeBinaryBulkSettings & settings, DeserializeBinaryBulkStatePtr & state, SubstreamsCache * cache) const { - checkSerializationIsSupported(settings); - if (!column->empty()) - throw Exception(ErrorCodes::NOT_IMPLEMENTED, - "DataTypeObject cannot be deserialized to non-empty column"); + if (!state) + return; + auto * object_state = checkAndGetState(state); + auto * structure_state = checkAndGetState(object_state->structure_state); auto mutable_column = column->assumeMutable(); auto & column_object = assert_cast(*mutable_column); - auto * state_object = checkAndGetState(state); + /// If it's a new object column, set dynamic paths and statistics. + if (column_object.empty()) + { + column_object.setMaxDynamicPaths(structure_state->max_dynamic_paths); + column_object.setDynamicPaths(structure_state->sorted_dynamic_paths); + column_object.setStatistics(structure_state->statistics); + } + + auto & typed_paths = column_object.getTypedPaths(); + auto & dynamic_paths = column_object.getDynamicPaths(); + auto & shared_data = column_object.getSharedDataPtr(); settings.path.push_back(Substream::ObjectData); - if (state_object->kind == BinarySerializationKind::STRING) - deserializeBinaryBulkFromString(column_object, limit, settings, *state_object, cache); - else - deserializeBinaryBulkFromTuple(column_object, limit, settings, *state_object, cache); + for (const auto & path : sorted_typed_paths) + { + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + typed_path_serializations.at(path)->deserializeBinaryBulkWithMultipleStreams(typed_paths[path], limit, settings, object_state->typed_path_states[path], cache); + settings.path.pop_back(); + } + for (const auto & path : structure_state->sorted_dynamic_paths) + { + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = path; + dynamic_serialization->deserializeBinaryBulkWithMultipleStreams(dynamic_paths[path], limit, settings, object_state->dynamic_path_states[path], cache); + settings.path.pop_back(); + } + + settings.path.push_back(Substream::ObjectSharedData); + shared_data_serialization->deserializeBinaryBulkWithMultipleStreams(shared_data, limit, settings, object_state->shared_data_state, cache); + settings.path.pop_back(); settings.path.pop_back(); - column_object.checkConsistency(); - column_object.finalize(); - column = std::move(mutable_column); } -template -void SerializationObject::deserializeBinaryBulkFromString( - ColumnObject & column_object, - size_t limit, - DeserializeBinaryBulkSettings & settings, - DeserializeStateObject & state, - SubstreamsCache * cache) const +void SerializationObject::serializeBinary(const Field & field, WriteBuffer & ostr, const DB::FormatSettings & settings) const { - ColumnPtr column_string = state.nested_type->createColumn(); - state.nested_serialization->deserializeBinaryBulkWithMultipleStreams( - column_string, limit, settings, state.nested_state, cache); - - size_t input_rows_count = column_string->size(); - column_object.reserve(input_rows_count); - - FormatSettings format_settings; - for (size_t i = 0; i < input_rows_count; ++i) + const auto & object = field.safeGet(); + /// Serialize number of paths and then pairs (path, value). + writeVarUInt(object.size(), ostr); + for (const auto & [path, value] : object) { - const auto & val = column_string->getDataAt(i); - ReadBufferFromMemory read_buffer(val.data, val.size); - deserializeWholeText(column_object, read_buffer, format_settings); - - if (!read_buffer.eof()) - throw Exception(ErrorCodes::CANNOT_PARSE_TEXT, - "Cannot parse string to column Object. Expected eof"); - } -} - -template -void SerializationObject::deserializeBinaryBulkFromTuple( - ColumnObject & column_object, - size_t limit, - DeserializeBinaryBulkSettings & settings, - DeserializeStateObject & state, - SubstreamsCache * cache) const -{ - ColumnPtr column_tuple = state.nested_type->createColumn(); - state.nested_serialization->deserializeBinaryBulkWithMultipleStreams( - column_tuple, limit, settings, state.nested_state, cache); - - auto [tuple_paths, tuple_types] = flattenTuple(state.nested_type); - auto flattened_tuple = flattenTuple(column_tuple); - const auto & tuple_columns = assert_cast(*flattened_tuple).getColumns(); - - assert(tuple_paths.size() == tuple_types.size()); - size_t num_subcolumns = tuple_paths.size(); - - if (tuple_columns.size() != num_subcolumns) - throw Exception(ErrorCodes::INCORRECT_DATA, - "Inconsistent type ({}) and column ({}) while reading column of type Object", - state.nested_type->getName(), column_tuple->getName()); - - for (size_t i = 0; i < num_subcolumns; ++i) - column_object.addSubcolumn(tuple_paths[i], tuple_columns[i]->assumeMutable()); -} - -template -void SerializationObject::serializeBinary(const Field &, WriteBuffer &, const FormatSettings &) const -{ - throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Not implemented for SerializationObject"); -} - -template -void SerializationObject::deserializeBinary(Field &, ReadBuffer &, const FormatSettings &) const -{ - throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Not implemented for SerializationObject"); -} - -template -void SerializationObject::serializeBinary(const IColumn &, size_t, WriteBuffer &, const FormatSettings &) const -{ - throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Not implemented for SerializationObject"); -} - -template -void SerializationObject::deserializeBinary(IColumn &, ReadBuffer &, const FormatSettings &) const -{ - throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Not implemented for SerializationObject"); -} - -/// TODO: use format different of JSON in serializations. - -template -void SerializationObject::serializeTextImpl(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const -{ - const auto & column_object = assert_cast(column); - const auto & subcolumns = column_object.getSubcolumns(); - - writeChar('{', ostr); - for (auto it = subcolumns.begin(); it != subcolumns.end(); ++it) - { - const auto & entry = *it; - if (it != subcolumns.begin()) - writeCString(",", ostr); - - writeDoubleQuoted(entry->path.getPath(), ostr); - writeChar(':', ostr); - serializeTextFromSubcolumn(entry->data, row_num, ostr, settings); - } - writeChar('}', ostr); -} - -template -template -void SerializationObject::serializeTextFromSubcolumn( - const ColumnObject::Subcolumn & subcolumn, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const -{ - const auto & least_common_type = subcolumn.getLeastCommonType(); - - if (subcolumn.isFinalized()) - { - const auto & finalized_column = subcolumn.getFinalizedColumn(); - auto info = least_common_type->getSerializationInfo(finalized_column); - auto serialization = least_common_type->getSerialization(*info); - if constexpr (pretty_json) - serialization->serializeTextJSONPretty(finalized_column, row_num, ostr, settings, indent); + writeStringBinary(path, ostr); + if (auto it = typed_path_serializations.find(path); it != typed_path_serializations.end()) + it->second->serializeBinary(value, ostr, settings); else - serialization->serializeTextJSON(finalized_column, row_num, ostr, settings); - return; + dynamic_serialization->serializeBinary(value, ostr, settings); + } +} + +void SerializationObject::serializeBinary(const IColumn & col, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + const auto & column_object = assert_cast(col); + const auto & typed_paths = column_object.getTypedPaths(); + const auto & dynamic_paths = column_object.getDynamicPaths(); + const auto & shared_data_offsets = column_object.getSharedDataOffsets(); + size_t offset = shared_data_offsets[ssize_t(row_num) - 1]; + size_t end = shared_data_offsets[ssize_t(row_num)]; + + /// Serialize number of paths and then pairs (path, value). + writeVarUInt(typed_paths.size() + dynamic_paths.size() + (end - offset), ostr); + + for (const auto & [path, column] : typed_paths) + { + writeStringBinary(path, ostr); + typed_path_serializations.at(path)->serializeBinary(*column, row_num, ostr, settings); } - size_t ind = row_num; - if (ind < subcolumn.getNumberOfDefaultsInPrefix()) + for (const auto & [path, column] : dynamic_paths) { - /// Suboptimal, but it should happen rarely. - auto tmp_column = subcolumn.getLeastCommonType()->createColumn(); - tmp_column->insertDefault(); - - auto info = least_common_type->getSerializationInfo(*tmp_column); - auto serialization = least_common_type->getSerialization(*info); - if constexpr (pretty_json) - serialization->serializeTextJSONPretty(*tmp_column, 0, ostr, settings, indent); - else - serialization->serializeTextJSON(*tmp_column, 0, ostr, settings); - return; + writeStringBinary(path, ostr); + dynamic_serialization->serializeBinary(*column, row_num, ostr, settings); } - ind -= subcolumn.getNumberOfDefaultsInPrefix(); - for (const auto & part : subcolumn.getData()) + const auto [shared_data_paths, shared_data_values] = column_object.getSharedDataPathsAndValues(); + for (size_t i = offset; i != end; ++i) { - if (ind < part->size()) + writeStringBinary(shared_data_paths->getDataAt(i), ostr); + auto value = shared_data_values->getDataAt(i); + ostr.write(value.data, value.size); + } +} + +void SerializationObject::deserializeBinary(Field & field, ReadBuffer & istr, const FormatSettings & settings) const +{ + Object object; + size_t number_of_paths; + readVarUInt(number_of_paths, istr); + /// Read pairs (path, value). + for (size_t i = 0; i != number_of_paths; ++i) + { + String path; + readStringBinary(path, istr); + if (!shouldSkipPath(path)) { - auto part_type = getDataTypeByColumn(*part); - auto info = part_type->getSerializationInfo(*part); - auto serialization = part_type->getSerialization(*info); - if constexpr (pretty_json) - serialization->serializeTextJSONPretty(*part, ind, ostr, settings, indent); + if (auto it = typed_path_serializations.find(path); it != typed_path_serializations.end()) + it->second->deserializeBinary(object[path], istr, settings); else - serialization->serializeTextJSON(*part, ind, ostr, settings); - return; + dynamic_serialization->deserializeBinary(object[path], istr, settings); + } + else + { + /// Skip value of this path. + Field tmp; + dynamic_serialization->deserializeBinary(tmp, istr, settings); + } + } + + field = std::move(object); +} + +/// Restore column object to the state with previous size. +/// We can use it in case of an exception during deserialization. +void SerializationObject::restoreColumnObject(ColumnObject & column_object, size_t prev_size) +{ + auto & typed_paths = column_object.getTypedPaths(); + auto & dynamic_paths = column_object.getDynamicPaths(); + auto [shared_data_paths, shared_data_values] = column_object.getSharedDataPathsAndValues(); + auto & shared_data_offsets = column_object.getSharedDataOffsets(); + + for (auto & [_, column] : typed_paths) + { + if (column->size() > prev_size) + column->popBack(column->size() - prev_size); + } + + for (auto & [_, column] : dynamic_paths) + { + if (column->size() > prev_size) + column->popBack(column->size() - prev_size); + } + + if (shared_data_offsets.size() > prev_size) + shared_data_offsets.resize(prev_size); + size_t prev_shared_data_offset = shared_data_offsets.back(); + if (shared_data_paths->size() > prev_shared_data_offset) + shared_data_paths->popBack(shared_data_paths->size() - prev_shared_data_offset); + if (shared_data_values->size() > prev_shared_data_offset) + shared_data_values->popBack(shared_data_values->size() - prev_shared_data_offset); +} + +void SerializationObject::deserializeBinary(IColumn & col, ReadBuffer & istr, const FormatSettings & settings) const +{ + auto & column_object = assert_cast(col); + auto & typed_paths = column_object.getTypedPaths(); + auto & dynamic_paths = column_object.getDynamicPaths(); + auto [shared_data_paths, shared_data_values] = column_object.getSharedDataPathsAndValues(); + auto & shared_data_offsets = column_object.getSharedDataOffsets(); + + size_t number_of_paths; + readVarUInt(number_of_paths, istr); + std::vector> paths_and_values_for_shared_data; + size_t prev_size = column_object.size(); + try + { + /// Read pairs (path, value). + for (size_t i = 0; i != number_of_paths; ++i) + { + String path; + readStringBinary(path, istr); + if (!shouldSkipPath(path)) + { + /// Check if we have this path in typed paths. + if (auto typed_it = typed_path_serializations.find(path); typed_it != typed_path_serializations.end()) + { + auto & typed_column = typed_paths[path]; + /// Check if we already had this path. + if (typed_column->size() > prev_size) + { + if (!settings.json.type_json_skip_duplicated_paths) + throw Exception(ErrorCodes::INCORRECT_DATA, "Found duplicated path during binary deserialization of JSON type: {}. You can enable setting type_json_skip_duplicated_paths to skip duplicated paths during insert", path); + } + else + { + typed_it->second->deserializeBinary(*typed_column, istr, settings); + } + } + /// Check if we have this path in dynamic paths. + else if (auto dynamic_it = dynamic_paths.find(path); dynamic_it != dynamic_paths.end()) + { + /// Check if we already had this path. + if (dynamic_it->second->size() > prev_size) + { + if (!settings.json.type_json_skip_duplicated_paths) + throw Exception(ErrorCodes::INCORRECT_DATA, "Found duplicated path during binary deserialization of JSON type: {}. You can enable setting type_json_skip_duplicated_paths to skip duplicated paths during insert", path); + } + + dynamic_serialization->deserializeBinary(*dynamic_it->second, istr, settings); + } + /// Try to add a new dynamic paths. + else if (auto * dynamic_column = column_object.tryToAddNewDynamicPath(path)) + { + dynamic_serialization->deserializeBinary(*dynamic_column, istr, settings); + } + /// Otherwise this path should go to shared data. + else + { + auto tmp_dynamic_column = ColumnDynamic::create(); + tmp_dynamic_column->reserve(1); + String value; + readParsedValueIntoString(value, istr, [&](ReadBuffer & buf){ dynamic_serialization->deserializeBinary(*tmp_dynamic_column, buf, settings); }); + paths_and_values_for_shared_data.emplace_back(std::move(path), std::move(value)); + } + } + else + { + /// Skip value of this path. + Field tmp; + dynamic_serialization->deserializeBinary(tmp, istr, settings); + } } - ind -= part->size(); + std::sort(paths_and_values_for_shared_data.begin(), paths_and_values_for_shared_data.end()); + for (size_t i = 0; i != paths_and_values_for_shared_data.size(); ++i) + { + const auto & [path, value] = paths_and_values_for_shared_data[i]; + if (i != 0 && path == paths_and_values_for_shared_data[i - 1].first) + { + if (!settings.json.type_json_skip_duplicated_paths) + throw Exception(ErrorCodes::INCORRECT_DATA, "Found duplicated path during binary deserialization of JSON type: {}. You can enable setting type_json_skip_duplicated_paths to skip duplicated paths during insert", path); + } + else + { + shared_data_paths->insertData(path.data(), path.size()); + shared_data_values->insertData(value.data(), value.size()); + } + } + shared_data_offsets.push_back(shared_data_paths->size()); } - - throw Exception(ErrorCodes::ARGUMENT_OUT_OF_BOUND, "Index ({}) for text serialization is out of range", row_num); -} - -template -void SerializationObject::serializeText(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const -{ - serializeTextImpl(column, row_num, ostr, settings); -} - -template -void SerializationObject::serializeTextEscaped(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const -{ - WriteBufferFromOwnString ostr_str; - serializeTextImpl(column, row_num, ostr_str, settings); - writeEscapedString(ostr_str.str(), ostr); -} - -template -void SerializationObject::serializeTextQuoted(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const -{ - WriteBufferFromOwnString ostr_str; - serializeTextImpl(column, row_num, ostr_str, settings); - writeQuotedString(ostr_str.str(), ostr); -} - -template -void SerializationObject::serializeTextJSON(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const -{ - serializeTextImpl(column, row_num, ostr, settings); -} - -template -void SerializationObject::serializeTextCSV(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const -{ - WriteBufferFromOwnString ostr_str; - serializeTextImpl(column, row_num, ostr_str, settings); - writeCSVString(ostr_str.str(), ostr); -} - -template -void SerializationObject::serializeTextMarkdown( - const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const -{ - if (settings.markdown.escape_special_characters) + catch (...) { - WriteBufferFromOwnString ostr_str; - serializeTextImpl(column, row_num, ostr_str, settings); - writeMarkdownEscapedString(ostr_str.str(), ostr); + restoreColumnObject(column_object, prev_size); + throw; } - else + + /// Insert default to all remaining typed and dynamic paths. + for (auto & [_, column] : typed_paths) { - serializeTextEscaped(column, row_num, ostr, settings); + if (column->size() == prev_size) + column->insertDefault(); + } + + for (auto & [_, column] : column_object.getDynamicPathsPtrs()) + { + if (column->size() == prev_size) + column->insertDefault(); } } -template -void SerializationObject::serializeTextJSONPretty(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const +SerializationPtr SerializationObject::TypedPathSubcolumnCreator::create(const DB::SerializationPtr & prev) const { - const auto & column_object = assert_cast(column); - const auto & subcolumns = column_object.getSubcolumns(); - - writeCString("{\n", ostr); - for (auto it = subcolumns.begin(); it != subcolumns.end(); ++it) - { - const auto & entry = *it; - if (it != subcolumns.begin()) - writeCString(",\n", ostr); - - writeChar(' ', (indent + 1) * 4, ostr); - writeDoubleQuoted(entry->path.getPath(), ostr); - writeCString(": ", ostr); - serializeTextFromSubcolumn(entry->data, row_num, ostr, settings, indent + 1); - } - writeChar('\n', ostr); - writeChar(' ', indent * 4, ostr); - writeChar('}', ostr); -} - - -SerializationPtr getObjectSerialization(const String & schema_format) -{ - if (schema_format == "json") - { -#if USE_SIMDJSON - return std::make_shared>>(); -#elif USE_RAPIDJSON - return std::make_shared>>(); -#else - throw Exception(ErrorCodes::NOT_IMPLEMENTED, - "To use data type Object with JSON format ClickHouse should be built with Simdjson or Rapidjson"); -#endif - } - - throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Unknown schema format '{}'", schema_format); + return std::make_shared(prev, path); } } + diff --git a/src/DataTypes/Serializations/SerializationObject.h b/src/DataTypes/Serializations/SerializationObject.h index 4cb7d0ab6a8..62ff9849f45 100644 --- a/src/DataTypes/Serializations/SerializationObject.h +++ b/src/DataTypes/Serializations/SerializationObject.h @@ -1,34 +1,43 @@ #pragma once #include -#include -#include +#include +#include namespace DB { -/** Serialization for data type Object. - * Supported only text serialization/deserialization. - * and binary bulk serialization/deserialization without position independent - * encoding, i.e. serialization/deserialization into Native format. - */ -template +class SerializationObjectDynamicPath; +class SerializationSubObject; + +/// Class for binary serialization/deserialization of an Object type (currently only JSON). class SerializationObject : public ISerialization { public: - /** In Native format ColumnObject can be serialized - * in two formats: as Tuple or as String. - * The format is the following: - * - * 1 byte -- 0 if Tuple, 1 if String. - * [type_name] -- Only for tuple serialization. - * ... data of internal column ... - * - * ClickHouse client serializazes objects as tuples. - * String serialization exists for clients, which cannot - * do parsing by themselves and they can send raw data as - * string. It will be parsed on the server side. - */ + /// Serialization can change in future. Let's introduce serialization version. + struct ObjectSerializationVersion + { + enum Value + { + BASIC = 0, + }; + + Value value; + + static void checkVersion(UInt64 version); + + explicit ObjectSerializationVersion(UInt64 version); + }; + + SerializationObject( + std::unordered_map typed_path_serializations_, + const std::unordered_set & paths_to_skip_, + const std::vector & path_regexps_to_skip_); + + void enumerateStreams( + EnumerateStreamsSettings & settings, + const StreamCallback & callback, + const SubstreamData & data) const override; void serializeBinaryBulkStatePrefix( const IColumn & column, @@ -63,59 +72,55 @@ public: void serializeBinary(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings &) const override; void deserializeBinary(IColumn & column, ReadBuffer & istr, const FormatSettings &) const override; - void serializeText(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; - void serializeTextEscaped(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; - void serializeTextQuoted(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; - void serializeTextJSON(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; - void serializeTextJSONPretty(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const override; - void serializeTextCSV(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; - void serializeTextMarkdown(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; - - void deserializeWholeText(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; - void deserializeTextEscaped(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; - void deserializeTextQuoted(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; - void deserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; - void deserializeTextCSV(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; + static void restoreColumnObject(ColumnObject & column_object, size_t prev_size); private: - enum class BinarySerializationKind : UInt8 + friend SerializationObjectDynamicPath; + friend SerializationSubObject; + + /// State of an Object structure. Can be also used during deserializing of Object subcolumns. + struct DeserializeBinaryBulkStateObjectStructure : public ISerialization::DeserializeBinaryBulkState { - TUPLE = 0, - STRING = 1, + ObjectSerializationVersion structure_version; + size_t max_dynamic_paths; + std::vector sorted_dynamic_paths; + std::unordered_set dynamic_paths; + /// Paths statistics. Map (dynamic path) -> (number of non-null values in this path). + ColumnObject::StatisticsPtr statistics; + + explicit DeserializeBinaryBulkStateObjectStructure(UInt64 structure_version_) : structure_version(structure_version_) {} }; - struct SerializeStateObject; - struct DeserializeStateObject; - - void deserializeBinaryBulkFromString( - ColumnObject & column_object, - size_t limit, + static DeserializeBinaryBulkStatePtr deserializeObjectStructureStatePrefix( DeserializeBinaryBulkSettings & settings, - DeserializeStateObject & state, - SubstreamsCache * cache) const; + SubstreamsDeserializeStatesCache * cache); - void deserializeBinaryBulkFromTuple( - ColumnObject & column_object, - size_t limit, - DeserializeBinaryBulkSettings & settings, - DeserializeStateObject & state, - SubstreamsCache * cache) const; + /// Shared data has type Array(Tuple(String, String)). + static const DataTypePtr & getTypeOfSharedData(); - template - void checkSerializationIsSupported(const TSettings & settings) const; + struct TypedPathSubcolumnCreator : public ISubcolumnCreator + { + String path; - template - void deserializeTextImpl(IColumn & column, Reader && reader) const; + explicit TypedPathSubcolumnCreator(const String & path_) : path(path_) {} - void serializeTextImpl(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const; + DataTypePtr create(const DataTypePtr & prev) const override { return prev; } + ColumnPtr create(const ColumnPtr & prev) const override { return prev; } + SerializationPtr create(const SerializationPtr & prev) const override; + }; - template - void serializeTextFromSubcolumn(const ColumnObject::Subcolumn & subcolumn, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent = 0) const; +protected: + bool shouldSkipPath(const String & path) const; - /// Pool of parser objects to make SerializationObject thread safe. - mutable SimpleObjectPool parsers_pool; + std::unordered_map typed_path_serializations; + std::unordered_set paths_to_skip; + std::vector sorted_paths_to_skip; + std::list path_regexps_to_skip; + SerializationPtr dynamic_serialization; + +private: + std::vector sorted_typed_paths; + SerializationPtr shared_data_serialization; }; -SerializationPtr getObjectSerialization(const String & schema_format); - } diff --git a/src/DataTypes/Serializations/SerializationObjectDeprecated.cpp b/src/DataTypes/Serializations/SerializationObjectDeprecated.cpp new file mode 100644 index 00000000000..4e9ebf6c03d --- /dev/null +++ b/src/DataTypes/Serializations/SerializationObjectDeprecated.cpp @@ -0,0 +1,586 @@ +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include +#include +#include +#include +#include +#include + +namespace DB +{ + +namespace ErrorCodes +{ + extern const int NOT_IMPLEMENTED; + extern const int INCORRECT_DATA; + extern const int CANNOT_READ_ALL_DATA; + extern const int ARGUMENT_OUT_OF_BOUND; + extern const int CANNOT_PARSE_TEXT; + extern const int EXPERIMENTAL_FEATURE_ERROR; +} + +template +template +void SerializationObjectDeprecated::deserializeTextImpl(IColumn & column, Reader && reader) const +{ + auto & column_object = assert_cast(column); + + String buf; + reader(buf); + std::optional result; + + /// Treat empty string as an empty object + /// for better CAST from String to Object. + if (!buf.empty()) + { + auto parser = parsers_pool.get([] { return new Parser; }); + result = parser->parse(buf.data(), buf.size()); + } + else + { + result = ParseResult{}; + } + + if (!result) + throw Exception(ErrorCodes::INCORRECT_DATA, "Cannot parse object"); + + auto & [paths, values] = *result; + assert(paths.size() == values.size()); + + size_t old_column_size = column_object.size(); + for (size_t i = 0; i < paths.size(); ++i) + { + auto field_info = getFieldInfo(values[i]); + if (field_info.need_fold_dimension) + values[i] = applyVisitor(FieldVisitorFoldDimension(field_info.num_dimensions), std::move(values[i])); + if (isNothing(field_info.scalar_type)) + continue; + + if (!column_object.hasSubcolumn(paths[i])) + { + if (paths[i].hasNested()) + column_object.addNestedSubcolumn(paths[i], field_info, old_column_size); + else + column_object.addSubcolumn(paths[i], old_column_size); + } + + auto & subcolumn = column_object.getSubcolumn(paths[i]); + assert(subcolumn.size() == old_column_size); + + subcolumn.insert(std::move(values[i]), std::move(field_info)); + } + + /// Insert default values to missed subcolumns. + const auto & subcolumns = column_object.getSubcolumns(); + for (const auto & entry : subcolumns) + { + if (entry->data.size() == old_column_size) + { + bool inserted = column_object.tryInsertDefaultFromNested(entry); + if (!inserted) + entry->data.insertDefault(); + } + } + + column_object.incrementNumRows(); +} + +template +void SerializationObjectDeprecated::deserializeWholeText(IColumn & column, ReadBuffer & istr, const FormatSettings &) const +{ + deserializeTextImpl(column, [&](String & s) { readStringInto(s, istr); }); +} + +template +void SerializationObjectDeprecated::deserializeTextEscaped(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const +{ + deserializeTextImpl(column, [&](String & s) { settings.tsv.crlf_end_of_line_input ? readEscapedStringCRLF(s, istr) : readEscapedString(s, istr); }); +} + +template +void SerializationObjectDeprecated::deserializeTextQuoted(IColumn & column, ReadBuffer & istr, const FormatSettings &) const +{ + deserializeTextImpl(column, [&](String & s) { readQuotedStringInto(s, istr); }); +} + +template +void SerializationObjectDeprecated::deserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings &) const +{ + deserializeTextImpl(column, [&](String & s) { Parser::readJSON(s, istr); }); +} + +template +void SerializationObjectDeprecated::deserializeTextCSV(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const +{ + deserializeTextImpl(column, [&](String & s) { readCSVStringInto(s, istr, settings.csv); }); +} + +template +template +void SerializationObjectDeprecated::checkSerializationIsSupported(const TSettings & settings) const +{ + if (settings.position_independent_encoding) + throw Exception(ErrorCodes::NOT_IMPLEMENTED, + "DataTypeObject doesn't support serialization with position independent encoding"); +} + +template +struct SerializationObjectDeprecated::SerializeStateObject : public ISerialization::SerializeBinaryBulkState +{ + DataTypePtr nested_type; + SerializationPtr nested_serialization; + SerializeBinaryBulkStatePtr nested_state; +}; + +template +struct SerializationObjectDeprecated::DeserializeStateObject : public ISerialization::DeserializeBinaryBulkState +{ + BinarySerializationKind kind; + DataTypePtr nested_type; + SerializationPtr nested_serialization; + DeserializeBinaryBulkStatePtr nested_state; +}; + +template +void SerializationObjectDeprecated::serializeBinaryBulkStatePrefix( + const IColumn & column, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const +{ + checkSerializationIsSupported(settings); + if (state) + throw Exception(ErrorCodes::NOT_IMPLEMENTED, + "DataTypeObject doesn't support serialization with non-trivial state"); + + const auto & column_object = assert_cast(column); + if (!column_object.isFinalized()) + { + auto finalized = column_object.cloneFinalized(); + serializeBinaryBulkStatePrefix(*finalized, settings, state); + return; + } + + settings.path.push_back(Substream::DeprecatedObjectStructure); + auto * stream = settings.getter(settings.path); + + if (!stream) + throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, "Missing stream for kind of binary serialization"); + + auto [tuple_column, tuple_type] = unflattenObjectToTuple(column_object); + + writeIntBinary(static_cast(BinarySerializationKind::TUPLE), *stream); + writeStringBinary(tuple_type->getName(), *stream); + + auto state_object = std::make_shared(); + state_object->nested_type = tuple_type; + state_object->nested_serialization = tuple_type->getDefaultSerialization(); + + settings.path.back() = Substream::DeprecatedObjectData; + state_object->nested_serialization->serializeBinaryBulkStatePrefix(*tuple_column, settings, state_object->nested_state); + + state = std::move(state_object); + settings.path.pop_back(); +} + +template +void SerializationObjectDeprecated::serializeBinaryBulkStateSuffix( + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const +{ + checkSerializationIsSupported(settings); + auto * state_object = checkAndGetState(state); + + settings.path.push_back(Substream::DeprecatedObjectData); + state_object->nested_serialization->serializeBinaryBulkStateSuffix(settings, state_object->nested_state); + settings.path.pop_back(); +} + +template +void SerializationObjectDeprecated::deserializeBinaryBulkStatePrefix( + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsDeserializeStatesCache * cache) const +{ + checkSerializationIsSupported(settings); + if (state) + throw Exception(ErrorCodes::NOT_IMPLEMENTED, + "DataTypeObject doesn't support serialization with non-trivial state"); + + settings.path.push_back(Substream::DeprecatedObjectStructure); + auto * stream = settings.getter(settings.path); + settings.path.pop_back(); + + if (!stream) + throw Exception(ErrorCodes::CANNOT_READ_ALL_DATA, + "Cannot read kind of binary serialization of DataTypeObject, because its stream is missing"); + + UInt8 kind_raw; + readIntBinary(kind_raw, *stream); + auto kind = magic_enum::enum_cast(kind_raw); + if (!kind) + throw Exception(ErrorCodes::INCORRECT_DATA, + "Unknown binary serialization kind of Object: {}", std::to_string(kind_raw)); + + auto state_object = std::make_shared(); + state_object->kind = *kind; + + if (state_object->kind == BinarySerializationKind::TUPLE) + { + String data_type_name; + readStringBinary(data_type_name, *stream); + state_object->nested_type = DataTypeFactory::instance().get(data_type_name); + state_object->nested_serialization = state_object->nested_type->getDefaultSerialization(); + + if (!isTuple(state_object->nested_type)) + throw Exception(ErrorCodes::INCORRECT_DATA, + "Data of type Object should be written as Tuple, got: {}", data_type_name); + } + else if (state_object->kind == BinarySerializationKind::STRING) + { + state_object->nested_type = std::make_shared(); + state_object->nested_serialization = std::make_shared(); + } + else + { + throw Exception(ErrorCodes::INCORRECT_DATA, + "Unknown binary serialization kind of Object: {}", std::to_string(kind_raw)); + } + + settings.path.push_back(Substream::DeprecatedObjectData); + state_object->nested_serialization->deserializeBinaryBulkStatePrefix(settings, state_object->nested_state, cache); + settings.path.pop_back(); + + state = std::move(state_object); +} + +template +void SerializationObjectDeprecated::serializeBinaryBulkWithMultipleStreams( + const IColumn & column, + size_t offset, + size_t limit, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const +{ + checkSerializationIsSupported(settings); + const auto & column_object = assert_cast(column); + auto * state_object = checkAndGetState(state); + + if (!column_object.isFinalized()) + { + auto finalized = column_object.cloneFinalized(); + serializeBinaryBulkWithMultipleStreams(*finalized, offset, limit, settings, state); + return; + } + + auto [tuple_column, tuple_type] = unflattenObjectToTuple(column_object); + + if (!state_object->nested_type->equals(*tuple_type)) + { + throw Exception(ErrorCodes::EXPERIMENTAL_FEATURE_ERROR, + "Types of internal column of Object mismatched. Expected: {}, Got: {}", + state_object->nested_type->getName(), tuple_type->getName()); + } + + settings.path.push_back(Substream::DeprecatedObjectData); + if (auto * stream = settings.getter(settings.path)) + { + state_object->nested_serialization->serializeBinaryBulkWithMultipleStreams( + *tuple_column, offset, limit, settings, state_object->nested_state); + } + + settings.path.pop_back(); +} + +template +void SerializationObjectDeprecated::deserializeBinaryBulkWithMultipleStreams( + ColumnPtr & column, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsCache * cache) const +{ + checkSerializationIsSupported(settings); + if (!column->empty()) + throw Exception(ErrorCodes::NOT_IMPLEMENTED, + "DataTypeObject cannot be deserialized to non-empty column"); + + auto mutable_column = column->assumeMutable(); + auto & column_object = assert_cast(*mutable_column); + auto * state_object = checkAndGetState(state); + + settings.path.push_back(Substream::DeprecatedObjectData); + if (state_object->kind == BinarySerializationKind::STRING) + deserializeBinaryBulkFromString(column_object, limit, settings, *state_object, cache); + else + deserializeBinaryBulkFromTuple(column_object, limit, settings, *state_object, cache); + + settings.path.pop_back(); + column_object.checkConsistency(); + column_object.finalize(); + column = std::move(mutable_column); +} + +template +void SerializationObjectDeprecated::deserializeBinaryBulkFromString( + ColumnObjectDeprecated & column_object, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeStateObject & state, + SubstreamsCache * cache) const +{ + ColumnPtr column_string = state.nested_type->createColumn(); + state.nested_serialization->deserializeBinaryBulkWithMultipleStreams( + column_string, limit, settings, state.nested_state, cache); + + size_t input_rows_count = column_string->size(); + column_object.reserve(input_rows_count); + + FormatSettings format_settings; + for (size_t i = 0; i < input_rows_count; ++i) + { + const auto & val = column_string->getDataAt(i); + ReadBufferFromMemory read_buffer(val.data, val.size); + deserializeWholeText(column_object, read_buffer, format_settings); + + if (!read_buffer.eof()) + throw Exception(ErrorCodes::CANNOT_PARSE_TEXT, + "Cannot parse string to column Object. Expected eof"); + } +} + +template +void SerializationObjectDeprecated::deserializeBinaryBulkFromTuple( + ColumnObjectDeprecated & column_object, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeStateObject & state, + SubstreamsCache * cache) const +{ + ColumnPtr column_tuple = state.nested_type->createColumn(); + state.nested_serialization->deserializeBinaryBulkWithMultipleStreams( + column_tuple, limit, settings, state.nested_state, cache); + + auto [tuple_paths, tuple_types] = flattenTuple(state.nested_type); + auto flattened_tuple = flattenTuple(column_tuple); + const auto & tuple_columns = assert_cast(*flattened_tuple).getColumns(); + + assert(tuple_paths.size() == tuple_types.size()); + size_t num_subcolumns = tuple_paths.size(); + + if (tuple_columns.size() != num_subcolumns) + throw Exception(ErrorCodes::INCORRECT_DATA, + "Inconsistent type ({}) and column ({}) while reading column of type Object", + state.nested_type->getName(), column_tuple->getName()); + + for (size_t i = 0; i < num_subcolumns; ++i) + column_object.addSubcolumn(tuple_paths[i], tuple_columns[i]->assumeMutable()); +} + +template +void SerializationObjectDeprecated::serializeBinary(const Field &, WriteBuffer &, const FormatSettings &) const +{ + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Not implemented for SerializationObjectDeprecated"); +} + +template +void SerializationObjectDeprecated::deserializeBinary(Field &, ReadBuffer &, const FormatSettings &) const +{ + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Not implemented for SerializationObjectDeprecated"); +} + +template +void SerializationObjectDeprecated::serializeBinary(const IColumn &, size_t, WriteBuffer &, const FormatSettings &) const +{ + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Not implemented for SerializationObjectDeprecated"); +} + +template +void SerializationObjectDeprecated::deserializeBinary(IColumn &, ReadBuffer &, const FormatSettings &) const +{ + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Not implemented for SerializationObjectDeprecated"); +} + +/// TODO: use format different of JSON in serializations. + +template +void SerializationObjectDeprecated::serializeTextImpl(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + const auto & column_object = assert_cast(column); + const auto & subcolumns = column_object.getSubcolumns(); + + writeChar('{', ostr); + for (auto it = subcolumns.begin(); it != subcolumns.end(); ++it) + { + const auto & entry = *it; + if (it != subcolumns.begin()) + writeCString(",", ostr); + + writeDoubleQuoted(entry->path.getPath(), ostr); + writeChar(':', ostr); + serializeTextFromSubcolumn(entry->data, row_num, ostr, settings); + } + writeChar('}', ostr); +} + +template +template +void SerializationObjectDeprecated::serializeTextFromSubcolumn( + const ColumnObjectDeprecated::Subcolumn & subcolumn, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const +{ + const auto & least_common_type = subcolumn.getLeastCommonType(); + + if (subcolumn.isFinalized()) + { + const auto & finalized_column = subcolumn.getFinalizedColumn(); + auto info = least_common_type->getSerializationInfo(finalized_column); + auto serialization = least_common_type->getSerialization(*info); + if constexpr (pretty_json) + serialization->serializeTextJSONPretty(finalized_column, row_num, ostr, settings, indent); + else + serialization->serializeTextJSON(finalized_column, row_num, ostr, settings); + return; + } + + size_t ind = row_num; + if (ind < subcolumn.getNumberOfDefaultsInPrefix()) + { + /// Suboptimal, but it should happen rarely. + auto tmp_column = subcolumn.getLeastCommonType()->createColumn(); + tmp_column->insertDefault(); + + auto info = least_common_type->getSerializationInfo(*tmp_column); + auto serialization = least_common_type->getSerialization(*info); + if constexpr (pretty_json) + serialization->serializeTextJSONPretty(*tmp_column, 0, ostr, settings, indent); + else + serialization->serializeTextJSON(*tmp_column, 0, ostr, settings); + return; + } + + ind -= subcolumn.getNumberOfDefaultsInPrefix(); + for (const auto & part : subcolumn.getData()) + { + if (ind < part->size()) + { + auto part_type = getDataTypeByColumn(*part); + auto info = part_type->getSerializationInfo(*part); + auto serialization = part_type->getSerialization(*info); + if constexpr (pretty_json) + serialization->serializeTextJSONPretty(*part, ind, ostr, settings, indent); + else + serialization->serializeTextJSON(*part, ind, ostr, settings); + return; + } + + ind -= part->size(); + } + + throw Exception(ErrorCodes::ARGUMENT_OUT_OF_BOUND, "Index ({}) for text serialization is out of range", row_num); +} + +template +void SerializationObjectDeprecated::serializeText(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + serializeTextImpl(column, row_num, ostr, settings); +} + +template +void SerializationObjectDeprecated::serializeTextEscaped(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + WriteBufferFromOwnString ostr_str; + serializeTextImpl(column, row_num, ostr_str, settings); + writeEscapedString(ostr_str.str(), ostr); +} + +template +void SerializationObjectDeprecated::serializeTextQuoted(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + WriteBufferFromOwnString ostr_str; + serializeTextImpl(column, row_num, ostr_str, settings); + writeQuotedString(ostr_str.str(), ostr); +} + +template +void SerializationObjectDeprecated::serializeTextJSON(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + serializeTextImpl(column, row_num, ostr, settings); +} + +template +void SerializationObjectDeprecated::serializeTextCSV(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + WriteBufferFromOwnString ostr_str; + serializeTextImpl(column, row_num, ostr_str, settings); + writeCSVString(ostr_str.str(), ostr); +} + +template +void SerializationObjectDeprecated::serializeTextMarkdown( + const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const +{ + if (settings.markdown.escape_special_characters) + { + WriteBufferFromOwnString ostr_str; + serializeTextImpl(column, row_num, ostr_str, settings); + writeMarkdownEscapedString(ostr_str.str(), ostr); + } + else + { + serializeTextEscaped(column, row_num, ostr, settings); + } +} + +template +void SerializationObjectDeprecated::serializeTextJSONPretty(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const +{ + const auto & column_object = assert_cast(column); + const auto & subcolumns = column_object.getSubcolumns(); + + writeCString("{\n", ostr); + for (auto it = subcolumns.begin(); it != subcolumns.end(); ++it) + { + const auto & entry = *it; + if (it != subcolumns.begin()) + writeCString(",\n", ostr); + + writeChar(' ', (indent + 1) * 4, ostr); + writeDoubleQuoted(entry->path.getPath(), ostr); + writeCString(": ", ostr); + serializeTextFromSubcolumn(entry->data, row_num, ostr, settings, indent + 1); + } + writeChar('\n', ostr); + writeChar(' ', indent * 4, ostr); + writeChar('}', ostr); +} + + +SerializationPtr getObjectSerialization(const String & schema_format) +{ + if (schema_format == "json") + { +#if USE_SIMDJSON + return std::make_shared>>(); +#elif USE_RAPIDJSON + return std::make_shared>>(); +#else + throw Exception(ErrorCodes::NOT_IMPLEMENTED, + "To use data type Object with JSON format ClickHouse should be built with Simdjson or Rapidjson"); +#endif + } + + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Unknown schema format '{}'", schema_format); +} + +} diff --git a/src/DataTypes/Serializations/SerializationObjectDeprecated.h b/src/DataTypes/Serializations/SerializationObjectDeprecated.h new file mode 100644 index 00000000000..c209f946850 --- /dev/null +++ b/src/DataTypes/Serializations/SerializationObjectDeprecated.h @@ -0,0 +1,121 @@ +#pragma once + +#include +#include +#include + +namespace DB +{ + +/** Serialization for data type Object (deprecated). + * Supported only text serialization/deserialization. + * and binary bulk serialization/deserialization without position independent + * encoding, i.e. serialization/deserialization into Native format. + */ +template +class SerializationObjectDeprecated : public ISerialization +{ +public: + /** In Native format ColumnObjectDeprecated can be serialized + * in two formats: as Tuple or as String. + * The format is the following: + * + * 1 byte -- 0 if Tuple, 1 if String. + * [type_name] -- Only for tuple serialization. + * ... data of internal column ... + * + * ClickHouse client serializazes objects as tuples. + * String serialization exists for clients, which cannot + * do parsing by themselves and they can send raw data as + * string. It will be parsed on the server side. + */ + + void serializeBinaryBulkStatePrefix( + const IColumn & column, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void serializeBinaryBulkStateSuffix( + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void deserializeBinaryBulkStatePrefix( + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsDeserializeStatesCache * cache) const override; + + void serializeBinaryBulkWithMultipleStreams( + const IColumn & column, + size_t offset, + size_t limit, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void deserializeBinaryBulkWithMultipleStreams( + ColumnPtr & column, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsCache * cache) const override; + + void serializeBinary(const Field & field, WriteBuffer & ostr, const FormatSettings &) const override; + void deserializeBinary(Field & field, ReadBuffer & istr, const FormatSettings &) const override; + void serializeBinary(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings &) const override; + void deserializeBinary(IColumn & column, ReadBuffer & istr, const FormatSettings &) const override; + + void serializeText(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void serializeTextEscaped(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void serializeTextQuoted(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void serializeTextJSON(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void serializeTextJSONPretty(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const override; + void serializeTextCSV(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void serializeTextMarkdown(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + + void deserializeWholeText(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; + void deserializeTextEscaped(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; + void deserializeTextQuoted(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; + void deserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; + void deserializeTextCSV(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; + +private: + enum class BinarySerializationKind : UInt8 + { + TUPLE = 0, + STRING = 1, + }; + + struct SerializeStateObject; + struct DeserializeStateObject; + + void deserializeBinaryBulkFromString( + ColumnObjectDeprecated & column_object, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeStateObject & state, + SubstreamsCache * cache) const; + + void deserializeBinaryBulkFromTuple( + ColumnObjectDeprecated & column_object, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeStateObject & state, + SubstreamsCache * cache) const; + + template + void checkSerializationIsSupported(const TSettings & settings) const; + + template + void deserializeTextImpl(IColumn & column, Reader && reader) const; + + void serializeTextImpl(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const; + + template + void serializeTextFromSubcolumn(const ColumnObjectDeprecated::Subcolumn & subcolumn, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent = 0) const; + + /// Pool of parser objects to make SerializationObjectDeprecated thread safe. + mutable SimpleObjectPool parsers_pool; +}; + +SerializationPtr getObjectSerialization(const String & schema_format); + +} diff --git a/src/DataTypes/Serializations/SerializationObjectDynamicPath.cpp b/src/DataTypes/Serializations/SerializationObjectDynamicPath.cpp new file mode 100644 index 00000000000..5323079c54b --- /dev/null +++ b/src/DataTypes/Serializations/SerializationObjectDynamicPath.cpp @@ -0,0 +1,192 @@ +#include +#include +#include +#include +#include + +namespace DB +{ + +namespace ErrorCodes +{ + extern const int NOT_IMPLEMENTED; +} + +SerializationObjectDynamicPath::SerializationObjectDynamicPath( + const DB::SerializationPtr & nested_, const String & path_, const String & path_subcolumn_, size_t max_dynamic_types_) + : SerializationWrapper(nested_) + , path(path_) + , path_subcolumn(path_subcolumn_) + , dynamic_serialization(std::make_shared()) + , shared_data_serialization(SerializationObject::getTypeOfSharedData()->getDefaultSerialization()) + , max_dynamic_types(max_dynamic_types_) +{ +} + +struct DeserializeBinaryBulkStateObjectDynamicPath : public ISerialization::DeserializeBinaryBulkState +{ + ISerialization::DeserializeBinaryBulkStatePtr structure_state; + ISerialization::DeserializeBinaryBulkStatePtr nested_state; + bool read_from_shared_data; + ColumnPtr shared_data; +}; + +void SerializationObjectDynamicPath::enumerateStreams( + DB::ISerialization::EnumerateStreamsSettings & settings, + const DB::ISerialization::StreamCallback & callback, + const DB::ISerialization::SubstreamData & data) const +{ + settings.path.push_back(Substream::ObjectStructure); + callback(settings.path); + settings.path.pop_back(); + + const auto * deserialize_state = data.deserialize_state ? checkAndGetState(data.deserialize_state) : nullptr; + + /// We cannot enumerate anything if we don't have deserialization state, as we don't know the dynamic structure. + if (!deserialize_state) + return; + + settings.path.push_back(Substream::ObjectData); + const auto * structure_state = checkAndGetState(deserialize_state->structure_state); + /// Check if we have our path in dynamic paths. + if (structure_state->dynamic_paths.contains(path)) + { + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = path; + auto path_data = SubstreamData(nested_serialization) + .withType(data.type) + .withColumn(data.column) + .withSerializationInfo(data.serialization_info) + .withDeserializeState(deserialize_state->nested_state); + settings.path.back().data = path_data; + nested_serialization->enumerateStreams(settings, callback, path_data); + settings.path.pop_back(); + } + /// Otherwise we will have to read all shared data and try to find our path there. + else + { + settings.path.push_back(Substream::ObjectSharedData); + auto shared_data_substream_data = SubstreamData(shared_data_serialization) + .withType(data.type ? SerializationObject::getTypeOfSharedData() : nullptr) + .withColumn(data.column ? SerializationObject::getTypeOfSharedData()->createColumn() : nullptr) + .withSerializationInfo(data.serialization_info) + .withDeserializeState(deserialize_state->nested_state); + settings.path.back().data = shared_data_substream_data; + shared_data_serialization->enumerateStreams(settings, callback, shared_data_substream_data); + settings.path.pop_back(); + } + + settings.path.pop_back(); +} + +void SerializationObjectDynamicPath::serializeBinaryBulkStatePrefix(const IColumn &, SerializeBinaryBulkSettings &, SerializeBinaryBulkStatePtr &) const +{ + throw Exception( + ErrorCodes::NOT_IMPLEMENTED, "Method serializeBinaryBulkStatePrefix is not implemented for SerializationObjectDynamicPath"); +} + +void SerializationObjectDynamicPath::serializeBinaryBulkStateSuffix(SerializeBinaryBulkSettings &, SerializeBinaryBulkStatePtr &) const +{ + throw Exception( + ErrorCodes::NOT_IMPLEMENTED, "Method serializeBinaryBulkStateSuffix is not implemented for SerializationObjectDynamicPath"); +} + +void SerializationObjectDynamicPath::deserializeBinaryBulkStatePrefix( + DeserializeBinaryBulkSettings & settings, DeserializeBinaryBulkStatePtr & state, SubstreamsDeserializeStatesCache * cache) const +{ + auto structure_state = SerializationObject::deserializeObjectStructureStatePrefix(settings, cache); + if (!structure_state) + return; + + auto dynamic_path_state = std::make_shared(); + dynamic_path_state->structure_state = std::move(structure_state); + /// Remember if we need to read from shared data or we have this path in dynamic paths. + dynamic_path_state->read_from_shared_data = !checkAndGetState(dynamic_path_state->structure_state)->dynamic_paths.contains(path); + settings.path.push_back(Substream::ObjectData); + if (dynamic_path_state->read_from_shared_data) + { + settings.path.push_back(Substream::ObjectSharedData); + shared_data_serialization->deserializeBinaryBulkStatePrefix(settings, dynamic_path_state->nested_state, cache); + settings.path.pop_back(); + } + else + { + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = path; + nested_serialization->deserializeBinaryBulkStatePrefix(settings, dynamic_path_state->nested_state, cache); + settings.path.pop_back(); + } + + settings.path.pop_back(); + state = std::move(dynamic_path_state); +} + +void SerializationObjectDynamicPath::serializeBinaryBulkWithMultipleStreams(const IColumn &, size_t, size_t, SerializeBinaryBulkSettings &, SerializeBinaryBulkStatePtr &) const +{ + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Method serializeBinaryBulkWithMultipleStreams is not implemented for SerializationObjectDynamicPath"); +} + +void SerializationObjectDynamicPath::deserializeBinaryBulkWithMultipleStreams( + ColumnPtr & result_column, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsCache * cache) const +{ + if (!state) + return; + + auto * dynamic_path_state = checkAndGetState(state); + settings.path.push_back(Substream::ObjectData); + /// Check if we don't need to read shared data. In this case just read data from dynamic path. + if (!dynamic_path_state->read_from_shared_data) + { + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = path; + nested_serialization->deserializeBinaryBulkWithMultipleStreams(result_column, limit, settings, dynamic_path_state->nested_state, cache); + settings.path.pop_back(); + } + /// Otherwise, read the whole shared data column and extract requested path from it. + /// TODO: We can read several subcolumns of the same path located in the shared data + /// and right now we extract the whole path column from shared data every time + /// and then extract the requested subcolumns. We can optimize it and use substreams + /// cache here to avoid extracting the same path from shared data several times. + /// + /// TODO: We can change the serialization of shared data to optimize reading paths from it. + /// Right now we cannot know if shared data contains our path in current range or not, + /// but we can change the serialization and write the list of all paths stored in shared + /// data before each granule, and then replace the column that stores paths with column + /// with indexes in this list. It can also reduce the storage, because we will store + /// each path only once and can replace UInt64 string offset column with indexes column + /// that can have smaller type depending on the number of paths in the list. + else + { + settings.path.push_back(Substream::ObjectSharedData); + /// Initialize shared_data column if needed. + if (result_column->empty()) + dynamic_path_state->shared_data = SerializationObject::getTypeOfSharedData()->createColumn(); + size_t prev_size = result_column->size(); + shared_data_serialization->deserializeBinaryBulkWithMultipleStreams(dynamic_path_state->shared_data, limit, settings, dynamic_path_state->nested_state, cache); + /// If we need to read a subcolumn from Dynamic column, create an empty Dynamic column, fill it and extract subcolumn. + MutableColumnPtr dynamic_column = path_subcolumn.empty() ? result_column->assumeMutable() : ColumnDynamic::create(max_dynamic_types)->getPtr(); + /// Check if we don't have any paths in shared data in current range. + const auto & offsets = assert_cast(*dynamic_path_state->shared_data).getOffsets(); + if (offsets.back() == offsets[ssize_t(prev_size) - 1]) + dynamic_column->insertManyDefaults(limit); + else + ColumnObject::fillPathColumnFromSharedData(*dynamic_column, path, dynamic_path_state->shared_data, prev_size, dynamic_path_state->shared_data->size()); + + /// Extract subcolumn from Dynamic column if needed. + if (!path_subcolumn.empty()) + { + auto subcolumn = std::make_shared(max_dynamic_types)->getSubcolumn(path_subcolumn, dynamic_column->getPtr()); + result_column->assumeMutable()->insertRangeFrom(*subcolumn, 0, subcolumn->size()); + } + + settings.path.pop_back(); + } + + settings.path.pop_back(); +} + +} diff --git a/src/DataTypes/Serializations/SerializationObjectDynamicPath.h b/src/DataTypes/Serializations/SerializationObjectDynamicPath.h new file mode 100644 index 00000000000..e11d0cded73 --- /dev/null +++ b/src/DataTypes/Serializations/SerializationObjectDynamicPath.h @@ -0,0 +1,58 @@ +#pragma once + +#include + +namespace DB +{ + +/// Serialization of dynamic Object paths. +/// For example, if we have type JSON(a.b UInt32, b.c String) and data {"a" : {"b" : 42}, "b" : {"c" : "Hello}, "c" : {"d" : [1, 2, 3]}, "d" : 42} +/// this class will be responsible for reading dynamic paths 'c.d' and 'd' as subcolumns. +/// Typed paths 'a.b' and 'b.c' are serialized in SerializationObjectTypedPath. +class SerializationObjectDynamicPath final : public SerializationWrapper +{ +public: + SerializationObjectDynamicPath(const SerializationPtr & nested_, const String & path_, const String & path_subcolumn_, size_t max_dynamic_types_); + + void enumerateStreams( + EnumerateStreamsSettings & settings, + const StreamCallback & callback, + const SubstreamData & data) const override; + + void serializeBinaryBulkStatePrefix( + const IColumn & column, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void serializeBinaryBulkStateSuffix( + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void deserializeBinaryBulkStatePrefix( + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsDeserializeStatesCache * cache) const override; + + void serializeBinaryBulkWithMultipleStreams( + const IColumn & column, + size_t offset, + size_t limit, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void deserializeBinaryBulkWithMultipleStreams( + ColumnPtr & column, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsCache * cache) const override; + +private: + String path; + String path_subcolumn; + SerializationPtr dynamic_serialization; + SerializationPtr shared_data_serialization; + size_t max_dynamic_types; +}; + +} diff --git a/src/DataTypes/Serializations/SerializationObjectTypedPath.cpp b/src/DataTypes/Serializations/SerializationObjectTypedPath.cpp new file mode 100644 index 00000000000..ef086d486f7 --- /dev/null +++ b/src/DataTypes/Serializations/SerializationObjectTypedPath.cpp @@ -0,0 +1,78 @@ +#include +#include +#include +#include +#include +#include + +namespace DB +{ + +namespace ErrorCodes +{ + extern const int NOT_IMPLEMENTED; +} + + +void SerializationObjectTypedPath::enumerateStreams( + DB::ISerialization::EnumerateStreamsSettings & settings, + const DB::ISerialization::StreamCallback & callback, + const DB::ISerialization::SubstreamData & data) const +{ + settings.path.push_back(Substream::ObjectData); + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + auto path_data = SubstreamData(nested_serialization) + .withType(data.type) + .withColumn(data.column) + .withSerializationInfo(data.serialization_info) + .withDeserializeState(data.deserialize_state); + nested_serialization->enumerateStreams(settings, callback, path_data); + settings.path.pop_back(); + settings.path.pop_back(); +} + +void SerializationObjectTypedPath::serializeBinaryBulkStatePrefix(const IColumn &, SerializeBinaryBulkSettings &, SerializeBinaryBulkStatePtr &) const +{ + throw Exception( + ErrorCodes::NOT_IMPLEMENTED, "Method serializeBinaryBulkStatePrefix is not implemented for SerializationObjectTypedPath"); +} + +void SerializationObjectTypedPath::serializeBinaryBulkStateSuffix(SerializeBinaryBulkSettings &, SerializeBinaryBulkStatePtr &) const +{ + throw Exception( + ErrorCodes::NOT_IMPLEMENTED, "Method serializeBinaryBulkStateSuffix is not implemented for SerializationObjectTypedPath"); +} + +void SerializationObjectTypedPath::deserializeBinaryBulkStatePrefix( + DeserializeBinaryBulkSettings & settings, DeserializeBinaryBulkStatePtr & state, SubstreamsDeserializeStatesCache * cache) const +{ + settings.path.push_back(Substream::ObjectData); + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + nested_serialization->deserializeBinaryBulkStatePrefix(settings, state, cache); + settings.path.pop_back(); + settings.path.pop_back(); +} + +void SerializationObjectTypedPath::serializeBinaryBulkWithMultipleStreams(const IColumn &, size_t, size_t, SerializeBinaryBulkSettings &, SerializeBinaryBulkStatePtr &) const +{ + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Method serializeBinaryBulkWithMultipleStreams is not implemented for SerializationObjectTypedPath"); +} + +void SerializationObjectTypedPath::deserializeBinaryBulkWithMultipleStreams( + ColumnPtr & result_column, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsCache * cache) const +{ + settings.path.push_back(Substream::ObjectData); + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + nested_serialization->deserializeBinaryBulkWithMultipleStreams(result_column, limit, settings, state, cache); + settings.path.pop_back(); + settings.path.pop_back(); +} + +} diff --git a/src/DataTypes/Serializations/SerializationObjectTypedPath.h b/src/DataTypes/Serializations/SerializationObjectTypedPath.h new file mode 100644 index 00000000000..997e14bd145 --- /dev/null +++ b/src/DataTypes/Serializations/SerializationObjectTypedPath.h @@ -0,0 +1,57 @@ +#pragma once + +#include + +namespace DB +{ + +/// Serialization of typed Object paths. +/// For example, for type JSON(a.b UInt32, b.c String) this serialization +/// will be used to read paths 'a.b' and 'b.c' as subcolumns. +class SerializationObjectTypedPath final : public SerializationWrapper +{ +public: + SerializationObjectTypedPath(const SerializationPtr & nested_, const String & path_) + : SerializationWrapper(nested_) + , path(path_) + { + } + + void enumerateStreams( + EnumerateStreamsSettings & settings, + const StreamCallback & callback, + const SubstreamData & data) const override; + + void serializeBinaryBulkStatePrefix( + const IColumn & column, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void serializeBinaryBulkStateSuffix( + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void deserializeBinaryBulkStatePrefix( + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsDeserializeStatesCache * cache) const override; + + void serializeBinaryBulkWithMultipleStreams( + const IColumn & column, + size_t offset, + size_t limit, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void deserializeBinaryBulkWithMultipleStreams( + ColumnPtr & column, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsCache * cache) const override; + +private: + String path; +}; + +} diff --git a/src/DataTypes/Serializations/SerializationSubObject.cpp b/src/DataTypes/Serializations/SerializationSubObject.cpp new file mode 100644 index 00000000000..9084d46f9b2 --- /dev/null +++ b/src/DataTypes/Serializations/SerializationSubObject.cpp @@ -0,0 +1,259 @@ +#include +#include +#include +#include +#include + +namespace DB +{ + +namespace ErrorCodes +{ + extern const int NOT_IMPLEMENTED; +} + +SerializationSubObject::SerializationSubObject( + const String & path_prefix_, const std::unordered_map & typed_paths_serializations_) + : path_prefix(path_prefix_) + , typed_paths_serializations(typed_paths_serializations_) + , dynamic_serialization(std::make_shared()) + , shared_data_serialization(SerializationObject::getTypeOfSharedData()->getDefaultSerialization()) +{ +} + +struct DeserializeBinaryBulkStateSubObject : public ISerialization::DeserializeBinaryBulkState +{ + std::unordered_map typed_path_states; + std::unordered_map dynamic_path_states; + std::vector dynamic_paths; + std::vector dynamic_sub_paths; + ISerialization::DeserializeBinaryBulkStatePtr shared_data_state; + ColumnPtr shared_data; +}; + +void SerializationSubObject::enumerateStreams( + DB::ISerialization::EnumerateStreamsSettings & settings, + const DB::ISerialization::StreamCallback & callback, + const DB::ISerialization::SubstreamData & data) const +{ + settings.path.push_back(Substream::ObjectStructure); + callback(settings.path); + settings.path.pop_back(); + + const auto * column_object = data.column ? &assert_cast(*data.column) : nullptr; + const auto * type_object = data.type ? &assert_cast(*data.type) : nullptr; + const auto * deserialize_state = data.deserialize_state ? checkAndGetState(data.deserialize_state) : nullptr; + + settings.path.push_back(Substream::ObjectData); + + /// typed_paths_serializations contains only typed paths with requested prefix from original Object column. + for (const auto & [path, serialization] : typed_paths_serializations) + { + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + auto path_data = SubstreamData(serialization) + .withType(type_object ? type_object->getTypedPaths().at(path.substr(path_prefix.size() + 1)) : nullptr) + .withColumn(column_object ? column_object->getTypedPaths().at(path.substr(path_prefix.size() + 1)) : nullptr) + .withSerializationInfo(data.serialization_info) + .withDeserializeState(deserialize_state ? deserialize_state->typed_path_states.at(path) : nullptr); + settings.path.back().data = path_data; + serialization->enumerateStreams(settings, callback, path_data); + settings.path.pop_back(); + } + + /// We will need to read shared data to find all paths with requested prefix. + settings.path.push_back(Substream::ObjectSharedData); + auto shared_data_substream_data = SubstreamData(shared_data_serialization) + .withType(data.type ? SerializationObject::getTypeOfSharedData() : nullptr) + .withColumn(data.column ? SerializationObject::getTypeOfSharedData()->createColumn() : nullptr) + .withSerializationInfo(data.serialization_info) + .withDeserializeState(deserialize_state ? deserialize_state->shared_data_state : nullptr); + settings.path.back().data = shared_data_substream_data; + shared_data_serialization->enumerateStreams(settings, callback, shared_data_substream_data); + settings.path.pop_back(); + + /// If deserialize state is provided, enumerate streams for dynamic paths. + if (deserialize_state) + { + DataTypePtr type = std::make_shared(); + for (const auto & [path, state] : deserialize_state->dynamic_path_states) + { + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = path; + auto path_data = SubstreamData(dynamic_serialization) + .withType(type_object ? type : nullptr) + .withColumn(nullptr) + .withSerializationInfo(data.serialization_info) + .withDeserializeState(state); + settings.path.back().data = path_data; + dynamic_serialization->enumerateStreams(settings, callback, path_data); + settings.path.pop_back(); + } + } + + settings.path.pop_back(); +} + +void SerializationSubObject::serializeBinaryBulkStatePrefix(const IColumn &, SerializeBinaryBulkSettings &, SerializeBinaryBulkStatePtr &) const +{ + throw Exception( + ErrorCodes::NOT_IMPLEMENTED, "Method serializeBinaryBulkStatePrefix is not implemented for SerializationSubObject"); +} + +void SerializationSubObject::serializeBinaryBulkStateSuffix(SerializeBinaryBulkSettings &, SerializeBinaryBulkStatePtr &) const +{ + throw Exception( + ErrorCodes::NOT_IMPLEMENTED, "Method serializeBinaryBulkStateSuffix is not implemented for SerializationSubObject"); +} + +namespace +{ + +/// Return sub-path by specified prefix. +/// For example, for prefix a.b: +/// a.b.c.d -> c.d, a.b.c -> c +String getSubPath(const String & path, const String & prefix) +{ + return path.substr(prefix.size() + 1); +} + +std::string_view getSubPath(const std::string_view & path, const String & prefix) +{ + return path.substr(prefix.size() + 1); +} + +} + +void SerializationSubObject::deserializeBinaryBulkStatePrefix( + DeserializeBinaryBulkSettings & settings, DeserializeBinaryBulkStatePtr & state, SubstreamsDeserializeStatesCache * cache) const +{ + auto structure_state = SerializationObject::deserializeObjectStructureStatePrefix(settings, cache); + if (!structure_state) + return; + + auto sub_object_state = std::make_shared(); + settings.path.push_back(Substream::ObjectData); + for (const auto & [path, serialization] : typed_paths_serializations) + { + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + serialization->deserializeBinaryBulkStatePrefix(settings, sub_object_state->typed_path_states[path], cache); + settings.path.pop_back(); + } + + for (const auto & dynamic_path : checkAndGetState(structure_state)->sorted_dynamic_paths) + { + /// Save only dynamic paths with requested prefix. + if (dynamic_path.starts_with(path_prefix) && dynamic_path.size() != path_prefix.size()) + { + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = dynamic_path; + dynamic_serialization->deserializeBinaryBulkStatePrefix(settings, sub_object_state->dynamic_path_states[dynamic_path], cache); + settings.path.pop_back(); + sub_object_state->dynamic_paths.push_back(dynamic_path); + sub_object_state->dynamic_sub_paths.push_back(getSubPath(dynamic_path, path_prefix)); + } + } + + settings.path.push_back(Substream::ObjectSharedData); + shared_data_serialization->deserializeBinaryBulkStatePrefix(settings, sub_object_state->shared_data_state, cache); + settings.path.pop_back(); + + settings.path.pop_back(); + state = std::move(sub_object_state); +} + +void SerializationSubObject::serializeBinaryBulkWithMultipleStreams(const IColumn &, size_t, size_t, SerializeBinaryBulkSettings &, SerializeBinaryBulkStatePtr &) const +{ + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Method serializeBinaryBulkWithMultipleStreams is not implemented for SerializationSubObject"); +} + +void SerializationSubObject::deserializeBinaryBulkWithMultipleStreams( + ColumnPtr & result_column, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsCache * cache) const +{ + if (!state) + return; + + auto * sub_object_state = checkAndGetState(state); + auto mutable_column = result_column->assumeMutable(); + auto & column_object = assert_cast(*mutable_column); + /// If it's a new object column, set dynamic paths and statistics. + if (column_object.empty()) + column_object.setDynamicPaths(sub_object_state->dynamic_sub_paths); + + auto & typed_paths = column_object.getTypedPaths(); + auto & dynamic_paths = column_object.getDynamicPaths(); + + settings.path.push_back(Substream::ObjectData); + for (const auto & [path, serialization] : typed_paths_serializations) + { + settings.path.push_back(Substream::ObjectTypedPath); + settings.path.back().object_path_name = path; + serialization->deserializeBinaryBulkWithMultipleStreams(typed_paths[getSubPath(path, path_prefix)], limit, settings, sub_object_state->typed_path_states[path], cache); + settings.path.pop_back(); + } + + for (const auto & path : sub_object_state->dynamic_paths) + { + settings.path.push_back(Substream::ObjectDynamicPath); + settings.path.back().object_path_name = path; + dynamic_serialization->deserializeBinaryBulkWithMultipleStreams(dynamic_paths[getSubPath(path, path_prefix)], limit, settings, sub_object_state->dynamic_path_states[path], cache); + settings.path.pop_back(); + } + + settings.path.push_back(Substream::ObjectSharedData); + /// If it's a new object column, reinitialize column for shared data. + if (result_column->empty()) + sub_object_state->shared_data = SerializationObject::getTypeOfSharedData()->createColumn(); + size_t prev_size = column_object.size(); + shared_data_serialization->deserializeBinaryBulkWithMultipleStreams(sub_object_state->shared_data, limit, settings, sub_object_state->shared_data_state, cache); + settings.path.pop_back(); + + auto & sub_object_shared_data = column_object.getSharedDataColumn(); + const auto & offsets = assert_cast(*sub_object_state->shared_data).getOffsets(); + /// Check if there is no data in shared data in current range. + if (offsets.back() == offsets[ssize_t(prev_size) - 1]) + { + sub_object_shared_data.insertManyDefaults(limit); + } + else + { + const auto & shared_data_array = assert_cast(*sub_object_state->shared_data); + const auto & shared_data_offsets = shared_data_array.getOffsets(); + const auto & shared_data_tuple = assert_cast(shared_data_array.getData()); + const auto & shared_data_paths = assert_cast(shared_data_tuple.getColumn(0)); + const auto & shared_data_values = assert_cast(shared_data_tuple.getColumn(1)); + + auto & sub_object_data_offsets = column_object.getSharedDataOffsets(); + auto [sub_object_shared_data_paths, sub_object_shared_data_values] = column_object.getSharedDataPathsAndValues(); + StringRef prefix_ref(path_prefix); + for (size_t i = prev_size; i != shared_data_offsets.size(); ++i) + { + size_t start = shared_data_offsets[ssize_t(i) - 1]; + size_t end = shared_data_offsets[ssize_t(i)]; + size_t lower_bound_index = ColumnObject::findPathLowerBoundInSharedData(prefix_ref, shared_data_paths, start, end); + for (; lower_bound_index != end; ++lower_bound_index) + { + auto path = shared_data_paths.getDataAt(lower_bound_index).toView(); + if (!path.starts_with(path_prefix)) + break; + + /// Don't include path that is equal to the prefix. + if (path.size() != path_prefix.size()) + { + auto sub_path = getSubPath(path, path_prefix); + sub_object_shared_data_paths->insertData(sub_path.data(), sub_path.size()); + sub_object_shared_data_values->insertFrom(shared_data_values, lower_bound_index); + } + } + sub_object_data_offsets.push_back(sub_object_shared_data_paths->size()); + } + } + settings.path.pop_back(); +} + +} diff --git a/src/DataTypes/Serializations/SerializationSubObject.h b/src/DataTypes/Serializations/SerializationSubObject.h new file mode 100644 index 00000000000..10973b48957 --- /dev/null +++ b/src/DataTypes/Serializations/SerializationSubObject.h @@ -0,0 +1,76 @@ +#pragma once + +#include +#include + + +namespace DB +{ + +namespace ErrorCodes +{ + extern const int NOT_IMPLEMENTED; +} + +/// Serialization of a sub-object Object subcolumns. +/// For example, if we have type JSON and data {"a" : {"b" : {"c" : 42, "d" : "Hello"}}, "c" : [1, 2, 3], "d" : 42} +/// this class will be responsible for reading sub-object a.b and will read JSON column with data {"c" : 43, "d" : "Hello"}. +class SerializationSubObject final : public SimpleTextSerialization +{ +public: + SerializationSubObject(const String & path_prefix_, const std::unordered_map & typed_paths_serializations_); + + void enumerateStreams( + EnumerateStreamsSettings & settings, + const StreamCallback & callback, + const SubstreamData & data) const override; + + void serializeBinaryBulkStatePrefix( + const IColumn & column, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void serializeBinaryBulkStateSuffix( + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void deserializeBinaryBulkStatePrefix( + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsDeserializeStatesCache * cache) const override; + + void serializeBinaryBulkWithMultipleStreams( + const IColumn & column, + size_t offset, + size_t limit, + SerializeBinaryBulkSettings & settings, + SerializeBinaryBulkStatePtr & state) const override; + + void deserializeBinaryBulkWithMultipleStreams( + ColumnPtr & column, + size_t limit, + DeserializeBinaryBulkSettings & settings, + DeserializeBinaryBulkStatePtr & state, + SubstreamsCache * cache) const override; + + void serializeBinary(const Field &, WriteBuffer &, const FormatSettings &) const override { throwNoSerialization(); } + void deserializeBinary(Field &, ReadBuffer &, const FormatSettings &) const override { throwNoSerialization(); } + void serializeBinary(const IColumn &, size_t, WriteBuffer &, const FormatSettings &) const override { throwNoSerialization(); } + void deserializeBinary(IColumn &, ReadBuffer &, const FormatSettings &) const override { throwNoSerialization(); } + void serializeText(const IColumn &, size_t, WriteBuffer &, const FormatSettings &) const override { throwNoSerialization(); } + void deserializeText(IColumn &, ReadBuffer &, const FormatSettings &, bool) const override { throwNoSerialization(); } + bool tryDeserializeText(IColumn &, ReadBuffer &, const FormatSettings &, bool) const override { throwNoSerialization(); } + +private: + [[noreturn]] static void throwNoSerialization() + { + throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Text/binary serialization is not implemented for object sub-object subcolumn"); + } + + String path_prefix; + std::unordered_map typed_paths_serializations; + SerializationPtr dynamic_serialization; + SerializationPtr shared_data_serialization; +}; + +} diff --git a/src/DataTypes/Serializations/SerializationVariant.cpp b/src/DataTypes/Serializations/SerializationVariant.cpp index e4d71e84cc7..0f6a17ef167 100644 --- a/src/DataTypes/Serializations/SerializationVariant.cpp +++ b/src/DataTypes/Serializations/SerializationVariant.cpp @@ -218,7 +218,8 @@ void SerializationVariant::serializeBinaryBulkWithMultipleStreamsAndUpdateVarian size_t limit, SerializeBinaryBulkSettings & settings, SerializeBinaryBulkStatePtr & state, - std::unordered_map & variants_statistics) const + std::unordered_map & variants_statistics, + size_t & total_size_of_variants) const { const ColumnVariant & col = assert_cast(column); if (const size_t size = col.size(); limit == 0 || offset + limit > size) @@ -265,6 +266,7 @@ void SerializationVariant::serializeBinaryBulkWithMultipleStreamsAndUpdateVarian /// We can use the same offset/limit as for whole Variant column variants[non_empty_global_discr]->serializeBinaryBulkWithMultipleStreams(col.getVariantByGlobalDiscriminator(non_empty_global_discr), offset, limit, settings, variant_state->variant_states[non_empty_global_discr]); variants_statistics[variant_names[non_empty_global_discr]] += limit; + total_size_of_variants += limit; settings.path.pop_back(); settings.path.pop_back(); return; @@ -315,7 +317,9 @@ void SerializationVariant::serializeBinaryBulkWithMultipleStreamsAndUpdateVarian { addVariantElementToPath(settings.path, i); variants[i]->serializeBinaryBulkWithMultipleStreams(col.getVariantByGlobalDiscriminator(i), 0, 0, settings, variant_state->variant_states[i]); - variants_statistics[variant_names[i]] += col.getVariantByGlobalDiscriminator(i).size(); + size_t variant_size = col.getVariantByGlobalDiscriminator(i).size(); + variants_statistics[variant_names[i]] += variant_size; + total_size_of_variants += variant_size; settings.path.pop_back(); } settings.path.pop_back(); @@ -386,6 +390,7 @@ void SerializationVariant::serializeBinaryBulkWithMultipleStreamsAndUpdateVarian settings, variant_state->variant_states[i]); variants_statistics[variant_names[i]] += variant_offsets_and_limits[i].second; + total_size_of_variants += variant_offsets_and_limits[i].second; settings.path.pop_back(); } } @@ -400,7 +405,8 @@ void SerializationVariant::serializeBinaryBulkWithMultipleStreams( DB::ISerialization::SerializeBinaryBulkStatePtr & state) const { std::unordered_map tmp_statistics; - serializeBinaryBulkWithMultipleStreamsAndUpdateVariantStatistics(column, offset, limit, settings, state, tmp_statistics); + size_t tmp_size; + serializeBinaryBulkWithMultipleStreamsAndUpdateVariantStatistics(column, offset, limit, settings, state, tmp_statistics, tmp_size); } void SerializationVariant::deserializeBinaryBulkWithMultipleStreams( @@ -1068,6 +1074,16 @@ void SerializationVariant::serializeTextJSON(const IColumn & column, size_t row_ variants[global_discr]->serializeTextJSON(col.getVariantByGlobalDiscriminator(global_discr), col.offsetAt(row_num), ostr, settings); } +void SerializationVariant::serializeTextJSONPretty(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const +{ + const ColumnVariant & col = assert_cast(column); + auto global_discr = col.globalDiscriminatorAt(row_num); + if (global_discr == ColumnVariant::NULL_DISCRIMINATOR) + SerializationNullable::serializeNullJSON(ostr); + else + variants[global_discr]->serializeTextJSONPretty(col.getVariantByGlobalDiscriminator(global_discr), col.offsetAt(row_num), ostr, settings, indent); +} + bool SerializationVariant::tryDeserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const { String field; diff --git a/src/DataTypes/Serializations/SerializationVariant.h b/src/DataTypes/Serializations/SerializationVariant.h index af89632cf81..a76a211e897 100644 --- a/src/DataTypes/Serializations/SerializationVariant.h +++ b/src/DataTypes/Serializations/SerializationVariant.h @@ -113,7 +113,8 @@ public: size_t limit, SerializeBinaryBulkSettings & settings, SerializeBinaryBulkStatePtr & state, - std::unordered_map & variants_statistics) const; + std::unordered_map & variants_statistics, + size_t & total_size_of_variants) const; void deserializeBinaryBulkWithMultipleStreams( ColumnPtr & column, @@ -145,6 +146,7 @@ public: bool tryDeserializeTextCSV(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; void serializeTextJSON(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const override; + void serializeTextJSONPretty(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings, size_t indent) const override; void deserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; bool tryDeserializeTextJSON(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const override; diff --git a/src/DataTypes/Serializations/SerializationVariantElement.cpp b/src/DataTypes/Serializations/SerializationVariantElement.cpp index 36dc85f60ee..9ad183a159e 100644 --- a/src/DataTypes/Serializations/SerializationVariantElement.cpp +++ b/src/DataTypes/Serializations/SerializationVariantElement.cpp @@ -193,16 +193,6 @@ void SerializationVariantElement::deserializeBinaryBulkWithMultipleStreams( nested_serialization->deserializeBinaryBulkWithMultipleStreams(variant_element_state->variant, *variant_limit, settings, variant_element_state->variant_element_state, cache); removeVariantFromPath(settings.path); - /// If nothing was deserialized when variant_limit > 0 - /// it means that we don't have a stream for such sub-column. - /// It may happen during ALTER MODIFY column with Variant extension. - /// In this case we should just insert default values. - if (variant_element_state->variant->empty()) - { - mutable_column->insertManyDefaults(num_new_discriminators); - return; - } - /// If there was nothing to deserialize or nothing was actually deserialized when variant_limit > 0, just insert defaults. /// The second case means that we don't have a stream for such sub-column. It may happen during ALTER MODIFY column with Variant extension. if (variant_limit == 0 || variant_element_state->variant->empty()) diff --git a/src/DataTypes/Serializations/tests/gtest_deprecated_object_serialization.cpp b/src/DataTypes/Serializations/tests/gtest_deprecated_object_serialization.cpp new file mode 100644 index 00000000000..ec53df18297 --- /dev/null +++ b/src/DataTypes/Serializations/tests/gtest_deprecated_object_serialization.cpp @@ -0,0 +1,80 @@ +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include + +#if USE_SIMDJSON + +using namespace DB; + +TEST(SerializationObjectDeprecated, FromString) +{ + WriteBufferFromOwnString out; + + auto column_string = ColumnString::create(); + column_string->insert(R"({"k1" : 1, "k2" : [{"k3" : "aa", "k4" : 2}, {"k3": "bb", "k4": 3}]})"); + column_string->insert(R"({"k1" : 2, "k2" : [{"k3" : "cc", "k5" : 4}, {"k4": 5}, {"k4": 6}]})"); + + { + auto serialization = std::make_shared(); + + ISerialization::SerializeBinaryBulkSettings settings; + ISerialization::SerializeBinaryBulkStatePtr state; + settings.position_independent_encoding = false; + settings.getter = [&out](const auto &) { return &out; }; + + writeIntBinary(static_cast(1), out); + serialization->serializeBinaryBulkStatePrefix(*column_string, settings, state); + serialization->serializeBinaryBulkWithMultipleStreams(*column_string, 0, column_string->size(), settings, state); + serialization->serializeBinaryBulkStateSuffix(settings, state); + } + + auto type_object = std::make_shared("json", false); + ColumnPtr result_column = type_object->createColumn(); + + ReadBufferFromOwnString in(out.str()); + + { + auto serialization = type_object->getDefaultSerialization(); + + ISerialization::DeserializeBinaryBulkSettings settings; + ISerialization::DeserializeBinaryBulkStatePtr state; + settings.position_independent_encoding = false; + settings.getter = [&in](const auto &) { return ∈ }; + + serialization->deserializeBinaryBulkStatePrefix(settings, state, nullptr); + serialization->deserializeBinaryBulkWithMultipleStreams(result_column, column_string->size(), settings, state, nullptr); + } + + auto & column_object = assert_cast(*result_column->assumeMutable()); + column_object.finalize(); + + ASSERT_TRUE(column_object.size() == 2); + ASSERT_TRUE(column_object.getSubcolumns().size() == 4); + + auto check_subcolumn = [&](const auto & name, const auto & type_name, const std::vector & expected) + { + const auto & subcolumn = column_object.getSubcolumn(PathInData{name}); + ASSERT_EQ(subcolumn.getLeastCommonType()->getName(), type_name); + + const auto & data = subcolumn.getFinalizedColumn(); + for (size_t i = 0; i < expected.size(); ++i) + ASSERT_EQ( + applyVisitor(FieldVisitorToString(), data[i]), + applyVisitor(FieldVisitorToString(), expected[i])); + }; + + check_subcolumn("k1", "Int8", {1, 2}); + check_subcolumn("k2.k3", "Array(String)", {Array{"aa", "bb"}, Array{"cc", "", ""}}); + check_subcolumn("k2.k4", "Array(Int8)", {Array{2, 3}, Array{0, 5, 6}}); + check_subcolumn("k2.k5", "Array(Int8)", {Array{0, 0}, Array{4, 0, 0}}); +} + +#endif diff --git a/src/DataTypes/Serializations/tests/gtest_object_serialization.cpp b/src/DataTypes/Serializations/tests/gtest_object_serialization.cpp index c6337a31fce..f104b75af9b 100644 --- a/src/DataTypes/Serializations/tests/gtest_object_serialization.cpp +++ b/src/DataTypes/Serializations/tests/gtest_object_serialization.cpp @@ -1,80 +1,98 @@ -#include -#include -#include -#include -#include -#include #include -#include -#include +#include +#include +#include #include -#if USE_SIMDJSON - using namespace DB; -TEST(SerializationObject, FromString) +TEST(ObjectSerialization, FieldBinarySerialization) { - WriteBufferFromOwnString out; - - auto column_string = ColumnString::create(); - column_string->insert(R"({"k1" : 1, "k2" : [{"k3" : "aa", "k4" : 2}, {"k3": "bb", "k4": 3}]})"); - column_string->insert(R"({"k1" : 2, "k2" : [{"k3" : "cc", "k5" : 4}, {"k4": 5}, {"k4": 6}]})"); - - { - auto serialization = std::make_shared(); - - ISerialization::SerializeBinaryBulkSettings settings; - ISerialization::SerializeBinaryBulkStatePtr state; - settings.position_independent_encoding = false; - settings.getter = [&out](const auto &) { return &out; }; - - writeIntBinary(static_cast(1), out); - serialization->serializeBinaryBulkStatePrefix(*column_string, settings, state); - serialization->serializeBinaryBulkWithMultipleStreams(*column_string, 0, column_string->size(), settings, state); - serialization->serializeBinaryBulkStateSuffix(settings, state); - } - - auto type_object = std::make_shared("json", false); - ColumnPtr result_column = type_object->createColumn(); - - ReadBufferFromOwnString in(out.str()); - - { - auto serialization = type_object->getDefaultSerialization(); - - ISerialization::DeserializeBinaryBulkSettings settings; - ISerialization::DeserializeBinaryBulkStatePtr state; - settings.position_independent_encoding = false; - settings.getter = [&in](const auto &) { return ∈ }; - - serialization->deserializeBinaryBulkStatePrefix(settings, state, nullptr); - serialization->deserializeBinaryBulkWithMultipleStreams(result_column, column_string->size(), settings, state, nullptr); - } - - auto & column_object = assert_cast(*result_column->assumeMutable()); - column_object.finalize(); - - ASSERT_TRUE(column_object.size() == 2); - ASSERT_TRUE(column_object.getSubcolumns().size() == 4); - - auto check_subcolumn = [&](const auto & name, const auto & type_name, const std::vector & expected) - { - const auto & subcolumn = column_object.getSubcolumn(PathInData{name}); - ASSERT_EQ(subcolumn.getLeastCommonType()->getName(), type_name); - - const auto & data = subcolumn.getFinalizedColumn(); - for (size_t i = 0; i < expected.size(); ++i) - ASSERT_EQ( - applyVisitor(FieldVisitorToString(), data[i]), - applyVisitor(FieldVisitorToString(), expected[i])); - }; - - check_subcolumn("k1", "Int8", {1, 2}); - check_subcolumn("k2.k3", "Array(String)", {Array{"aa", "bb"}, Array{"cc", "", ""}}); - check_subcolumn("k2.k4", "Array(Int8)", {Array{2, 3}, Array{0, 5, 6}}); - check_subcolumn("k2.k5", "Array(Int8)", {Array{0, 0}, Array{4, 0, 0}}); + auto type = DataTypeFactory::instance().get("JSON(max_dynamic_types=10, max_dynamic_paths=2, a.b UInt32, a.c Array(String))"); + auto serialization = type->getDefaultSerialization(); + Object object1 = Object{{"a.c", Array{"Str1", "Str2"}}, {"a.d", Field(42)}, {"a.e", Tuple{Field(43), "Str3"}}}; + WriteBufferFromOwnString ostr; + serialization->serializeBinary(object1, ostr, FormatSettings()); + ReadBufferFromString istr(ostr.str()); + Field object2; + serialization->deserializeBinary(object2, istr, FormatSettings()); + ASSERT_EQ(object1, object2.safeGet()); } -#endif + +TEST(ObjectSerialization, ColumnBinarySerialization) +{ + auto type = DataTypeFactory::instance().get("JSON(max_dynamic_types=10, max_dynamic_paths=2, a.b UInt32, a.c Array(String))"); + auto serialization = type->getDefaultSerialization(); + auto col = type->createColumn(); + auto & col_object = assert_cast(*col); + col_object.insert(Object{{"a.c", Array{"Str1", "Str2"}}, {"a.d", Field(42)}, {"a.e", Tuple{Field(43), "Str3"}}}); + WriteBufferFromOwnString ostr1; + serialization->serializeBinary(col_object, 0, ostr1, FormatSettings()); + ReadBufferFromString istr1(ostr1.str()); + serialization->deserializeBinary(col_object, istr1, FormatSettings()); + ASSERT_EQ(col_object[0], col_object[1]); + col_object.insert(Object{{"a.c", Array{"Str1", "Str2"}}, {"a.e", Field(42)}, {"b.d", Field(42)}, {"b.e", Tuple{Field(43), "Str3"}}, {"b.g", Field("Str4")}}); + WriteBufferFromOwnString ostr2; + serialization->serializeBinary(col_object, 2, ostr2, FormatSettings()); + ReadBufferFromString istr2(ostr2.str()); + serialization->deserializeBinary(col_object, istr2, FormatSettings()); + ASSERT_EQ(col_object[2], col_object[3]); +} + +TEST(ObjectSerialization, JSONSerialization) +{ + auto type = DataTypeFactory::instance().get("JSON(max_dynamic_types=10, max_dynamic_paths=2, a.b UInt32, a.c Array(String))"); + auto serialization = type->getDefaultSerialization(); + auto col = type->createColumn(); + auto & col_object = assert_cast(*col); + col_object.insert(Object{{"a.c", Array{"Str1", "Str2"}}, {"a.d", Field(42)}, {"a.e", Tuple{Field(43), "Str3"}}}); + col_object.insert(Object{{"a.c", Array{"Str1", "Str2"}}, {"a", Tuple{Field(43), "Str3"}}, {"a.b.c", Field(42)}, {"a.b.e", Field(43)}, {"b.c.d.e", Field(42)}, {"b.c.d.g", Field(43)}, {"b.c.h.r", Field(44)}, {"c.g.h.t", Array{Field("Str"), Field("Str2")}}, {"h", Field("Str")}, {"j", Field("Str")}}); + WriteBufferFromOwnString buf1; + serialization->serializeTextJSON(col_object, 1, buf1, FormatSettings()); + ASSERT_EQ(buf1.str(), R"({"a":[43,"Str3"],"a":{"b":0,"b":{"c":42,"e":43},"c":["Str1","Str2"]},"b":{"c":{"d":{"e":42,"g":43},"h":{"r":44}}},"c":{"g":{"h":{"t":["Str","Str2"]}}},"h":"Str","j":"Str"})"); + WriteBufferFromOwnString buf2; + serialization->serializeTextJSONPretty(col_object, 1, buf2, FormatSettings(), 0); + ASSERT_EQ(buf2.str(), R"({ + "a" : [ + 43, + "Str3" + ], + "a" : { + "b" : 0, + "b" : { + "c" : 42, + "e" : 43 + }, + "c" : [ + "Str1", + "Str2" + ] + }, + "b" : { + "c" : { + "d" : { + "e" : 42, + "g" : 43 + }, + "h" : { + "r" : 44 + } + } + }, + "c" : { + "g" : { + "h" : { + "t" : [ + "Str", + "Str2" + ] + } + } + }, + "h" : "Str", + "j" : "Str" +})"); + +} diff --git a/src/DataTypes/Utils.cpp b/src/DataTypes/Utils.cpp index e7e69e379af..a6e9452d7ef 100644 --- a/src/DataTypes/Utils.cpp +++ b/src/DataTypes/Utils.cpp @@ -216,6 +216,7 @@ bool canBeSafelyCasted(const DataTypePtr & from_type, const DataTypePtr & to_typ return false; } case TypeIndex::String: + case TypeIndex::ObjectDeprecated: case TypeIndex::Object: case TypeIndex::Set: case TypeIndex::Interval: diff --git a/src/DataTypes/tests/gtest_data_types_binary_encoding.cpp b/src/DataTypes/tests/gtest_data_types_binary_encoding.cpp index 4d0bfc67183..789aeac566f 100644 --- a/src/DataTypes/tests/gtest_data_types_binary_encoding.cpp +++ b/src/DataTypes/tests/gtest_data_types_binary_encoding.cpp @@ -126,4 +126,7 @@ GTEST_TEST(DataTypesBinaryEncoding, EncodeAndDecode) check(DataTypeFactory::instance().get("Polygon")); check(DataTypeFactory::instance().get("MultiPolygon")); check(DataTypeFactory::instance().get("Tuple(Map(LowCardinality(String), Array(AggregateFunction(2, quantiles(0.1, 0.2), Float32))), Array(Array(Tuple(UInt32, Tuple(a Map(String, String), b Nullable(Date), c Variant(Tuple(g String, d Array(UInt32)), Date, Map(String, String)))))))")); + check(DataTypeFactory::instance().get("JSON")); + check(DataTypeFactory::instance().get("JSON(max_dynamic_paths=10)")); + check(DataTypeFactory::instance().get("JSON(max_dynamic_paths=10, max_dynamic_types=10, a.b.c UInt32, SKIP a.c, b.g String, SKIP l.d.f)")); } diff --git a/src/Databases/DatabaseReplicated.cpp b/src/Databases/DatabaseReplicated.cpp index 85217ba5c04..b936a400c42 100644 --- a/src/Databases/DatabaseReplicated.cpp +++ b/src/Databases/DatabaseReplicated.cpp @@ -1153,6 +1153,7 @@ void DatabaseReplicated::recoverLostReplica(const ZooKeeperPtr & current_zookeep query_context->setSetting("allow_experimental_object_type", 1); query_context->setSetting("allow_experimental_variant_type", 1); query_context->setSetting("allow_experimental_dynamic_type", 1); + query_context->setSetting("allow_experimental_json_type", 1); query_context->setSetting("allow_experimental_vector_similarity_index", 1); query_context->setSetting("allow_experimental_bigint_types", 1); query_context->setSetting("allow_experimental_window_functions", 1); diff --git a/src/Formats/EscapingRuleUtils.cpp b/src/Formats/EscapingRuleUtils.cpp index e7d9be39ec9..5429d8b7e0d 100644 --- a/src/Formats/EscapingRuleUtils.cpp +++ b/src/Formats/EscapingRuleUtils.cpp @@ -464,7 +464,7 @@ String getAdditionalFormatInfoByEscapingRule(const FormatSettings & settings, Fo settings.json.read_arrays_as_strings, settings.json.try_infer_objects_as_tuples, settings.json.infer_incomplete_types_as_strings, - settings.json.allow_object_type, + settings.json.allow_deprecated_object_type, settings.json.use_string_type_for_ambiguous_paths_in_named_tuples_inference_from_objects); break; default: diff --git a/src/Formats/FormatFactory.cpp b/src/Formats/FormatFactory.cpp index da57c59bdfc..865b6e6f3f1 100644 --- a/src/Formats/FormatFactory.cpp +++ b/src/Formats/FormatFactory.cpp @@ -146,11 +146,13 @@ FormatSettings getFormatSettings(const ContextPtr & context, const Settings & se format_settings.json.validate_types_from_metadata = settings.input_format_json_validate_types_from_metadata; format_settings.json.validate_utf8 = settings.output_format_json_validate_utf8; format_settings.json_object_each_row.column_for_object_name = settings.format_json_object_each_row_column_for_object_name; - format_settings.json.allow_object_type = context->getSettingsRef().allow_experimental_object_type; + format_settings.json.allow_deprecated_object_type = context->getSettingsRef().allow_experimental_object_type; + format_settings.json.allow_json_type = context->getSettingsRef().allow_experimental_json_type; format_settings.json.compact_allow_variable_number_of_columns = settings.input_format_json_compact_allow_variable_number_of_columns; format_settings.json.try_infer_objects_as_tuples = settings.input_format_json_try_infer_named_tuples_from_objects; format_settings.json.throw_on_bad_escape_sequence = settings.input_format_json_throw_on_bad_escape_sequence; format_settings.json.ignore_unnecessary_fields = settings.input_format_json_ignore_unnecessary_fields; + format_settings.json.type_json_skip_duplicated_paths = settings.type_json_skip_duplicated_paths; format_settings.null_as_default = settings.input_format_null_as_default; format_settings.force_null_for_omitted_fields = settings.input_format_force_null_for_omitted_fields; format_settings.decimal_trailing_zeros = settings.output_format_decimal_trailing_zeros; diff --git a/src/Formats/FormatSettings.h b/src/Formats/FormatSettings.h index 3970c776ad2..da25da74134 100644 --- a/src/Formats/FormatSettings.h +++ b/src/Formats/FormatSettings.h @@ -228,13 +228,15 @@ struct FormatSettings bool try_infer_numbers_from_strings = false; bool validate_types_from_metadata = true; bool validate_utf8 = false; - bool allow_object_type = false; + bool allow_deprecated_object_type = false; + bool allow_json_type = false; bool valid_output_on_exception = false; bool compact_allow_variable_number_of_columns = false; bool try_infer_objects_as_tuples = false; bool infer_incomplete_types_as_strings = true; bool throw_on_bad_escape_sequence = true; bool ignore_unnecessary_fields = true; + bool type_json_skip_duplicated_paths = false; } json{}; struct diff --git a/src/Formats/JSONExtractTree.cpp b/src/Formats/JSONExtractTree.cpp index 86fde3852b8..122224535a7 100644 --- a/src/Formats/JSONExtractTree.cpp +++ b/src/Formats/JSONExtractTree.cpp @@ -8,7 +8,6 @@ #if USE_RAPIDJSON #include #endif - #include #include @@ -22,6 +21,7 @@ #include #include #include +#include #include #include @@ -38,8 +38,10 @@ #include #include #include +#include #include #include +#include #include @@ -53,6 +55,7 @@ namespace DB namespace ErrorCodes { extern const int ILLEGAL_TYPE_OF_ARGUMENT; + extern const int INCORRECT_DATA; } template @@ -123,7 +126,7 @@ void jsonElementToString(const typename JSONParser::Element & element, WriteBuff template bool tryGetNumericValueFromJSONElement( - NumberType & value, const typename JSONParser::Element & element, bool convert_bool_to_integer, String & error) + NumberType & value, const typename JSONParser::Element & element, bool convert_bool_to_integer, bool allow_type_conversion, String & error) { switch (element.type()) { @@ -135,7 +138,7 @@ bool tryGetNumericValueFromJSONElement( /// But it will be more convenient for user to perform conversion. value = static_cast(element.getDouble()); } - else if (!accurate::convertNumeric(element.getDouble(), value)) + else if (!allow_type_conversion || !accurate::convertNumeric(element.getDouble(), value)) { error = fmt::format("cannot convert double value {} to {}", element.getDouble(), TypeName); return false; @@ -158,7 +161,7 @@ bool tryGetNumericValueFromJSONElement( case ElementType::BOOL: if constexpr (is_integer) { - if (convert_bool_to_integer) + if (convert_bool_to_integer && allow_type_conversion) { value = static_cast(element.getBool()); break; @@ -166,13 +169,17 @@ bool tryGetNumericValueFromJSONElement( } error = fmt::format("cannot convert bool value to {}", TypeName); return false; - case ElementType::STRING: { + case ElementType::STRING: + { + if (!allow_type_conversion) + return false; + auto rb = ReadBufferFromMemory{element.getString()}; if constexpr (std::is_floating_point_v) { if (!tryReadFloatText(value, rb) || !rb.eof()) { - error = fmt::format("cannot parse {} value here: {}", TypeName, element.getString()); + error = fmt::format("cannot parse {} value here: \"{}\"", TypeName, element.getString()); return false; } } @@ -186,13 +193,13 @@ bool tryGetNumericValueFromJSONElement( rb.position() = rb.buffer().begin(); if (!tryReadFloatText(tmp_float, rb) || !rb.eof()) { - error = fmt::format("cannot parse {} value here: {}", TypeName, element.getString()); + error = fmt::format("cannot parse {} value here: \"{}\"", TypeName, element.getString()); return false; } if (!accurate::convertNumeric(tmp_float, value)) { - error = fmt::format("cannot parse {} value here: {}", TypeName, element.getString()); + error = fmt::format("cannot parse {} value here: \"{}\"", TypeName, element.getString()); return false; } } @@ -241,8 +248,16 @@ public: return false; } + if (is_bool_type && !insert_settings.allow_type_conversion) + { + if (!element.isBool()) + return false; + assert_cast &>(column).insertValue(element.getBool()); + return true; + } + NumberType value; - if (!tryGetNumericValueFromJSONElement(value, element, insert_settings.convert_bool_to_integer || is_bool_type, error)) + if (!tryGetNumericValueFromJSONElement(value, element, insert_settings.convert_bool_to_integer || is_bool_type, insert_settings.allow_type_conversion, error)) { if (error.empty()) error = fmt::format("cannot read {} value from JSON element: {}", TypeName, jsonElementToString(element, format_settings)); @@ -289,8 +304,17 @@ public: return false; } + if (this->is_bool_type && !insert_settings.allow_type_conversion) + { + if (!element.isBool()) + return false; + UInt8 value = element.getBool(); + assert_cast(column).insertData(reinterpret_cast(&value), sizeof(value)); + return true; + } + NumberType value; - if (!tryGetNumericValueFromJSONElement(value, element, insert_settings.convert_bool_to_integer || this->is_bool_type, error)) + if (!tryGetNumericValueFromJSONElement(value, element, insert_settings.convert_bool_to_integer || this->is_bool_type, insert_settings.allow_type_conversion, error)) { if (error.empty()) error = fmt::format("cannot read {} value from JSON element: {}", TypeName, jsonElementToString(element, format_settings)); @@ -316,7 +340,7 @@ public: bool insertResultToColumn( IColumn & column, const typename JSONParser::Element & element, - const JSONExtractInsertSettings &, + const JSONExtractInsertSettings & insert_settings, const FormatSettings & format_settings, String & error) const override { @@ -333,6 +357,9 @@ public: if (!element.isString()) { + if (!insert_settings.allow_type_conversion) + return false; + auto & col_str = assert_cast(column); auto & chars = col_str.getChars(); WriteBufferFromVector buf(chars, AppendModeTag()); @@ -360,7 +387,7 @@ public: bool insertResultToColumn( IColumn & column, const typename JSONParser::Element & element, - const JSONExtractInsertSettings &, + const JSONExtractInsertSettings & insert_settings, const FormatSettings & format_settings, String & error) const override { @@ -378,6 +405,9 @@ public: if (!element.isString()) { + if (!insert_settings.allow_type_conversion) + return false; + auto value = jsonElementToString(element, format_settings); assert_cast(column).insertData(value.data(), value.size()); } @@ -402,7 +432,7 @@ public: bool insertResultToColumn( IColumn & column, const typename JSONParser::Element & element, - const JSONExtractInsertSettings &, + const JSONExtractInsertSettings & insert_settings, const FormatSettings & format_settings, String & error) const override { @@ -419,7 +449,11 @@ public: } if (!element.isString()) + { + if (!insert_settings.allow_type_conversion) + return false; return checkValueSizeAndInsert(column, jsonElementToString(element, format_settings), error); + } return checkValueSizeAndInsert(column, element.getString(), error); } @@ -450,7 +484,7 @@ public: bool insertResultToColumn( IColumn & column, const typename JSONParser::Element & element, - const JSONExtractInsertSettings &, + const JSONExtractInsertSettings & insert_settings, const FormatSettings & format_settings, String & error) const override { @@ -466,7 +500,11 @@ public: } if (!element.isString()) + { + if (!insert_settings.allow_type_conversion) + return false; return checkValueSizeAndInsert(column, jsonElementToString(element, format_settings), error); + } return checkValueSizeAndInsert(column, element.getString(), error); } @@ -630,7 +668,7 @@ public: bool insertResultToColumn( IColumn & column, const typename JSONParser::Element & element, - const JSONExtractInsertSettings &, + const JSONExtractInsertSettings & insert_settings, const FormatSettings & format_settings, String & error) const override { @@ -649,7 +687,7 @@ public: return false; } } - else if (element.isUInt64()) + else if (element.isUInt64() && insert_settings.allow_type_conversion) { value = element.getUInt64(); } @@ -712,7 +750,8 @@ public: case ElementType::INT64: value = convertToDecimal, DataTypeDecimal>(element.getInt64(), scale); break; - case ElementType::STRING: { + case ElementType::STRING: + { auto rb = ReadBufferFromMemory{element.getString()}; if (!SerializationDecimal::tryReadText(value, rb, DecimalUtils::max_precision, scale)) { @@ -721,7 +760,8 @@ public: } break; } - case ElementType::NULL_VALUE: { + case ElementType::NULL_VALUE: + { if (!format_settings.null_as_default) { error = "cannot convert null to Decimal value"; @@ -756,7 +796,7 @@ public: bool insertResultToColumn( IColumn & column, const typename JSONParser::Element & element, - const JSONExtractInsertSettings &, + const JSONExtractInsertSettings & insert_settings, const FormatSettings & format_settings, String & error) const override { @@ -777,6 +817,9 @@ public: } else { + if (!insert_settings.allow_type_conversion) + return false; + switch (element.type()) { case ElementType::DOUBLE: @@ -1104,7 +1147,7 @@ public: } } - if (!were_valid_elements) + if (data.size() != old_size && !were_valid_elements) { data.popBack(data.size() - old_size); return false; @@ -1174,7 +1217,7 @@ public: else { set_size(old_size); - error += fmt::format("(during reading tuple {} element)", index); + error += fmt::format(" (during reading tuple {} element)", index); return false; } } @@ -1202,7 +1245,7 @@ public: else { set_size(old_size); - error += fmt::format("(during reading tuple {} element)", index); + error += fmt::format(" (during reading tuple {} element)", index); return false; } } @@ -1221,7 +1264,7 @@ public: else if (!insert_settings.insert_default_on_invalid_elements_in_complex_types) { set_size(old_size); - error += fmt::format("(during reading tuple element \"{}\")", key); + error += fmt::format(" (during reading tuple element \"{}\")", key); return false; } } @@ -1288,7 +1331,7 @@ public: { key_col.popBack(key_col.size() - offsets.back()); value_col.popBack(value_col.size() - offsets.back()); - error += fmt::format("(during reading value of key \"{}\")", pair.first); + error += fmt::format(" (during reading value of key \"{}\")", pair.first); return false; } } @@ -1346,6 +1389,13 @@ template class DynamicNode : public JSONExtractTreeNode { public: + explicit DynamicNode( + size_t max_dynamic_paths_for_object_ = DataTypeObject::DEFAULT_MAX_SEPARATELY_STORED_PATHS, + size_t max_dynamic_types_for_object_ = DataTypeDynamic::DEFAULT_MAX_DYNAMIC_TYPES) + : max_dynamic_paths_for_object(max_dynamic_paths_for_object_), max_dynamic_types_for_object(max_dynamic_types_for_object_) + { + } + bool insertResultToColumn( IColumn & column, const typename JSONParser::Element & element, @@ -1354,7 +1404,7 @@ public: String & error) const override { auto & column_dynamic = assert_cast(column); - /// First, check if element is NULL. + /// Check if element is NULL. if (element.isNull()) { column_dynamic.insertDefault(); @@ -1363,15 +1413,52 @@ public: auto & variant_column = column_dynamic.getVariantColumn(); const auto & variant_info = column_dynamic.getVariantInfo(); - /// Second, infer ClickHouse type for this element and add it as a new variant. - auto element_type = elementToDataType(element, format_settings); + const auto & variant_types = assert_cast(*variant_info.variant_type).getVariants(); + + /// Try to insert element into current variants but with no types conversion. + /// We want to avoid inferring the type on each row, so if we can insert this element into + /// any existing variant with no types conversion (like Integer -> String, Double -> Integer, etc) + /// we will do it and won't try to infer the type. + auto shared_variant_discr = column_dynamic.getSharedVariantDiscriminator(); + auto insert_settings_with_no_type_conversion = insert_settings; + insert_settings_with_no_type_conversion.allow_type_conversion = false; + for (size_t i = 0; i != variant_info.variant_names.size(); ++i) + { + if (i != shared_variant_discr) + { + auto it = json_extract_nodes_cache.find(variant_info.variant_names[i]); + if (it == json_extract_nodes_cache.end()) + it = json_extract_nodes_cache.emplace(variant_info.variant_names[i], buildJSONExtractTree(variant_types[i], "Dynamic inference")).first; + + if (it->second->insertResultToColumn(variant_column.getVariantByGlobalDiscriminator(i), element, insert_settings_with_no_type_conversion, format_settings, error)) + { + variant_column.getLocalDiscriminators().push_back(variant_column.localDiscriminatorByGlobal(i)); + variant_column.getOffsets().push_back(variant_column.getVariantByGlobalDiscriminator(i).size() - 1); + return true; + } + } + } + + /// We couldn't insert element into current variants, infer ClickHouse type for this element and add it as a new variant. + auto element_type = removeNullable(elementToDataType(element, format_settings)); + if (!checkIfTypeIsComplete(element_type)) + { + throw Exception( + ErrorCodes::INCORRECT_DATA, + "Cannot infer the type of JSON element {}, because it contains only nulls. To use String type for elements with incomplete " + "type, enable setting input_format_json_infer_incomplete_types_as_strings", + jsonElementToString(element, format_settings)); + } + auto element_type_name = element_type->getName(); if (column_dynamic.addNewVariant(element_type, element_type_name)) { - auto node = buildJSONExtractTree(element_type, "Dynamic inference"); + auto it = json_extract_nodes_cache.find(element_type_name); + if (it == json_extract_nodes_cache.end()) + it = json_extract_nodes_cache.emplace(element_type_name, buildJSONExtractTree(element_type, "Dynamic inference")).first; auto global_discriminator = variant_info.variant_name_to_discriminator.at(element_type_name); auto & variant = variant_column.getVariantByGlobalDiscriminator(global_discriminator); - if (!node->insertResultToColumn(variant, element, insert_settings, format_settings, error)) + if (!it->second->insertResultToColumn(variant, element, insert_settings, format_settings, error)) return false; variant_column.getLocalDiscriminators().push_back(variant_column.localDiscriminatorByGlobal(global_discriminator)); variant_column.getOffsets().push_back(variant.size() - 1); @@ -1383,25 +1470,28 @@ public: auto node = buildJSONExtractTree(element_type, "Dynamic inference"); if (!node->insertResultToColumn(*tmp_variant_column, element, insert_settings, format_settings, error)) return false; + column_dynamic.insertValueIntoSharedVariant(*tmp_variant_column, element_type, element_type_name, 0); return true; } - static DataTypePtr elementToDataType(const typename JSONParser::Element & element, const FormatSettings & format_settings) + DataTypePtr elementToDataType(const typename JSONParser::Element & element, const FormatSettings & format_settings) const { JSONInferenceInfo json_inference_info; auto type = elementToDataTypeImpl(element, format_settings, json_inference_info); transformFinalInferredJSONTypeIfNeeded(type, format_settings, &json_inference_info); + if (format_settings.schema_inference_make_columns_nullable && type->haveSubtypes()) + type = makeNullableRecursively(type); return type; } private: - static DataTypePtr elementToDataTypeImpl(const typename JSONParser::Element & element, const FormatSettings & format_settings, JSONInferenceInfo & json_inference_info) + DataTypePtr elementToDataTypeImpl(const typename JSONParser::Element & element, const FormatSettings & format_settings, JSONInferenceInfo & json_inference_info) const { switch (element.type()) { case ElementType::NULL_VALUE: - return makeNullable(std::make_shared()); + return std::make_shared(std::make_shared()); case ElementType::BOOL: return DataTypeFactory::instance().get("Bool"); case ElementType::INT64: @@ -1439,10 +1529,10 @@ private: DataTypes types; types.reserve(array.size()); for (auto value : array) - types.push_back(makeNullableSafe(elementToDataTypeImpl(value, format_settings, json_inference_info))); + types.push_back(elementToDataTypeImpl(value, format_settings, json_inference_info)); if (types.empty()) - return std::make_shared(makeNullable(std::make_shared())); + return std::make_shared(std::make_shared()); if (checkIfTypesAreEqual(types)) return std::make_shared(types.back()); @@ -1469,12 +1559,238 @@ private: return std::make_shared(types); } - case ElementType::OBJECT: { - /// TODO: Use new JSON type here when it's ready. - return std::make_shared(std::make_shared(), makeNullable(std::make_shared())); + case ElementType::OBJECT: + { + return std::make_shared(DataTypeObject::SchemaFormat::JSON, max_dynamic_paths_for_object, max_dynamic_types_for_object); } } } + + size_t max_dynamic_paths_for_object; + size_t max_dynamic_types_for_object; + + /// Avoid building JSONExtractTreeNode for the same data types on each row by using cache. + mutable std::unordered_map>> json_extract_nodes_cache; +}; + +template +class ObjectJSONNode : public JSONExtractTreeNode +{ +public: + ObjectJSONNode( + std::unordered_map>> typed_path_nodes_, + const std::unordered_set & paths_to_skip_, + const std::vector & path_regexps_to_skip_, + size_t max_dynamic_paths_, + size_t max_dynamic_types_) + : typed_path_nodes(std::move(typed_path_nodes_)) + , paths_to_skip(paths_to_skip_) + , dynamic_node(std::make_unique>( + max_dynamic_paths_ / DataTypeObject::NESTED_OBJECT_MAX_DYNAMIC_PATHS_REDUCE_FACTOR, + max_dynamic_types_ / DataTypeObject::NESTED_OBJECT_MAX_DYNAMIC_TYPES_REDUCE_FACTOR)) + , dynamic_serialization(std::make_shared()) + { + sorted_paths_to_skip.assign(paths_to_skip.begin(), paths_to_skip.end()); + std::sort(sorted_paths_to_skip.begin(), sorted_paths_to_skip.end()); + for (const auto & regexp : path_regexps_to_skip_) + path_regexps_to_skip.emplace_back(regexp); + } + + bool insertResultToColumn(IColumn & column, const typename JSONParser::Element & element, const JSONExtractInsertSettings & insert_settings, const FormatSettings & format_settings, String & error) const override + { + if (element.isNull() && format_settings.null_as_default) + { + column.insertDefault(); + return true; + } + + if (!element.isObject()) + { + error = fmt::format("Cannot read JSON object from JSON element: {}", jsonElementToString(element, format_settings)); + return false; + } + + auto & column_object = assert_cast(column); + size_t prev_size = column_object.size(); + + /// Paths in shared data should be sorted, so we cannot insert paths there during traverse. + /// Instead we collect all paths and values that should go to shared data, sort them and insert later. + /// It's not optimal, but it's a price we pay for faster reading of subcolumns. + std::vector> paths_and_values_for_shared_data; + if (!traverseAndInsert(column_object, element, "", insert_settings, format_settings, paths_and_values_for_shared_data, prev_size, error)) + { + /// If there was an error, restore previous state. + SerializationObject::restoreColumnObject(column_object, prev_size); + return false; + } + + /// Fill shared data. + auto [shared_data_paths, shared_data_values] = column_object.getSharedDataPathsAndValues(); + std::sort(paths_and_values_for_shared_data.begin(), paths_and_values_for_shared_data.end()); + for (size_t i = 0; i != paths_and_values_for_shared_data.size(); ++i) + { + const auto & [path, value] = paths_and_values_for_shared_data[i]; + /// Check if we duplicated paths. + if (i != 0 && path == paths_and_values_for_shared_data[i - 1].first) + { + if (!format_settings.json.type_json_skip_duplicated_paths) + { + error = fmt::format("Duplicate path found during parsing JSON object: {}. You can enable setting type_json_skip_duplicated_paths to skip duplicated paths during insert", path); + SerializationObject::restoreColumnObject(column_object, prev_size); + return false; + } + } + else + { + shared_data_paths->insertData(path.data(), path.size()); + shared_data_values->insertData(value.data(), value.size()); + } + } + column_object.getSharedDataOffsets().push_back(shared_data_paths->size()); + + /// Fill remaining typed and dynamic paths. + for (auto & [_, typed_column] : column_object.getTypedPaths()) + { + if (typed_column->size() == prev_size) + typed_column->insertDefault(); + } + + for (auto & [_, dynamic_column] : column_object.getDynamicPathsPtrs()) + { + if (dynamic_column->size() == prev_size) + dynamic_column->insertDefault(); + } + + return true; + } + +private: + bool traverseAndInsert( + ColumnObject & column_object, + const typename JSONParser::Element & element, + const String & current_path, + const JSONExtractInsertSettings & insert_settings, + const FormatSettings & format_settings, + std::vector> & paths_and_values_for_shared_data, + size_t current_size, + String & error) const + { + if (shouldSkipPath(current_path)) + return true; + + if (element.isObject() && !typed_path_nodes.contains(current_path)) + { + for (auto [key, value] : element.getObject()) + { + String path = current_path; + if (!path.empty()) + path.append("."); + path += key; + if (!traverseAndInsert(column_object, value, path, insert_settings, format_settings, paths_and_values_for_shared_data, current_size, error)) + return false; + } + + return true; + } + + auto & typed_paths = column_object.getTypedPaths(); + auto & dynamic_paths_ptrs = column_object.getDynamicPathsPtrs(); + /// Check if we have this path in typed paths. + if (auto typed_it = typed_paths.find(current_path); typed_it != typed_paths.end()) + { + /// Check if we already had this path. + if (typed_it->second->size() > current_size) + { + if (!format_settings.json.type_json_skip_duplicated_paths) + { + error = fmt::format("Duplicate path found during parsing JSON object: {}. You can enable setting type_json_skip_duplicated_paths to skip duplicated paths during insert", current_path); + return false; + } + } + else if (!typed_path_nodes.at(current_path)->insertResultToColumn(*typed_it->second, element, insert_settings, format_settings, error)) + { + error += fmt::format(" (while reading path {})", current_path); + return false; + } + } + /// Check if we have this path in dynamic paths. + else if (auto dynamic_it = dynamic_paths_ptrs.find(current_path); dynamic_it != dynamic_paths_ptrs.end()) + { + /// Check if we already had this path. + if (dynamic_it->second->size() > current_size) + { + if (!format_settings.json.type_json_skip_duplicated_paths) + { + error = fmt::format("Duplicate path found during parsing JSON object: {}. You can enable setting type_json_skip_duplicated_paths to skip duplicated paths during insert", current_path); + return false; + } + } + else if (!dynamic_node->insertResultToColumn(*dynamic_it->second, element, insert_settings, format_settings, error)) + { + error += fmt::format(" (while reading path {})", current_path); + return false; + } + } + /// Don't create new dynamic paths for null and don't insert null values into shared data. + /// We consider null equivalent to the absence of this path. + else if (element.isNull()) + { + } + /// Try to add a new dynamic path. + else if (auto * dynamic_column = column_object.tryToAddNewDynamicPath(current_path)) + { + if (!dynamic_node->insertResultToColumn(*dynamic_column, element, insert_settings, format_settings, error)) + { + error += fmt::format(" (while reading path {})", current_path); + return false; + } + } + /// Otherwise this path should go to the shared data. + else + { + auto tmp_dynamic_column = ColumnDynamic::create(); + tmp_dynamic_column->reserve(1); + if (!dynamic_node->insertResultToColumn(*tmp_dynamic_column, element, insert_settings, format_settings, error)) + { + error += fmt::format(" (while reading path {})", current_path); + return false; + } + + paths_and_values_for_shared_data.emplace_back(current_path, ""); + WriteBufferFromString buf(paths_and_values_for_shared_data.back().second); + dynamic_serialization->serializeBinary(*tmp_dynamic_column, 0, buf, format_settings); + } + + return true; + } + + bool shouldSkipPath(const String & path) const + { + if (paths_to_skip.contains(path)) + return true; + + if (!sorted_paths_to_skip.empty()) + { + auto it = std::lower_bound(sorted_paths_to_skip.begin(), sorted_paths_to_skip.end(), path); + if (it != sorted_paths_to_skip.begin() && path.starts_with(*std::prev(it))) + return true; + } + + for (const auto & regexp : path_regexps_to_skip) + { + if (re2::RE2::FullMatch(path, regexp)) + return true; + } + + return false; + } + + std::unordered_map>> typed_path_nodes; + std::unordered_set paths_to_skip; + std::vector sorted_paths_to_skip; + std::list path_regexps_to_skip; + std::unique_ptr> dynamic_node; + std::shared_ptr dynamic_serialization; }; } @@ -1621,6 +1937,26 @@ std::unique_ptr> buildJSONExtractTree(const Data } case TypeIndex::Dynamic: return std::make_unique>(); + case TypeIndex::Object: + { + const auto & object_type = assert_cast(*type); + const auto & typed_paths = object_type.getTypedPaths(); + std::unordered_map>> typed_path_nodes; + typed_path_nodes.reserve(typed_paths.size()); + for (const auto & [path, path_type] : typed_paths) + typed_path_nodes[path] = buildJSONExtractTree(path_type, source_for_exception_message); + + switch (object_type.getSchemaFormat()) + { + case DataTypeObject::SchemaFormat::JSON: + return std::make_unique>( + std::move(typed_path_nodes), + object_type.getPathsToSkip(), + object_type.getPathRegexpsToSkip(), + object_type.getMaxDynamicPaths(), + object_type.getMaxDynamicTypes()); + } + } default: throw Exception( ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, @@ -1638,7 +1974,7 @@ template std::unique_ptr> buildJSONExtractTr #if USE_RAPIDJSON template void jsonElementToString(const RapidJSONParser::Element & element, WriteBuffer & buf, const FormatSettings & format_settings); template std::unique_ptr> buildJSONExtractTree(const DataTypePtr & type, const char * source_for_exception_message); -template bool tryGetNumericValueFromJSONElement(Float64 & value, const RapidJSONParser::Element & element, bool convert_bool_to_integer, String & error); +template bool tryGetNumericValueFromJSONElement(Float64 & value, const RapidJSONParser::Element & element, bool convert_bool_to_integer, bool allow_type_conversion, String & error); #else template void jsonElementToString(const DummyJSONParser::Element & element, WriteBuffer & buf, const FormatSettings & format_settings); template std::unique_ptr> buildJSONExtractTree(const DataTypePtr & type, const char * source_for_exception_message); diff --git a/src/Formats/JSONExtractTree.h b/src/Formats/JSONExtractTree.h index b5e82506548..89f2d191dfb 100644 --- a/src/Formats/JSONExtractTree.h +++ b/src/Formats/JSONExtractTree.h @@ -17,6 +17,9 @@ struct JSONExtractInsertSettings /// For example, if we have [1, "hello", 2] and type Array(UInt32), /// we will insert [1, 0, 2] in the column. Used in all JSONExtract functions. bool insert_default_on_invalid_elements_in_complex_types = false; + /// If false, JSON value will be inserted into column only if type of the value is + /// the same as column type (no conversions like Integer -> String, Integer -> Float, etc). + bool allow_type_conversion = true; }; template @@ -36,6 +39,6 @@ template void jsonElementToString(const typename JSONParser::Element & element, WriteBuffer & buf, const FormatSettings & format_settings); template -bool tryGetNumericValueFromJSONElement(NumberType & value, const typename JSONParser::Element & element, bool convert_bool_to_integer, String & error); +bool tryGetNumericValueFromJSONElement(NumberType & value, const typename JSONParser::Element & element, bool convert_bool_to_integer, bool allow_type_conversion, String & error); } diff --git a/src/Formats/JSONUtils.cpp b/src/Formats/JSONUtils.cpp index 017befe5b0e..9d898cd2470 100644 --- a/src/Formats/JSONUtils.cpp +++ b/src/Formats/JSONUtils.cpp @@ -6,7 +6,7 @@ #include #include #include -#include +#include #include #include diff --git a/src/Formats/SchemaInferenceUtils.cpp b/src/Formats/SchemaInferenceUtils.cpp index 5bd41e33f58..ed251fa5d55 100644 --- a/src/Formats/SchemaInferenceUtils.cpp +++ b/src/Formats/SchemaInferenceUtils.cpp @@ -11,7 +11,7 @@ #include #include #include -#include +#include #include #include #include @@ -1216,8 +1216,8 @@ namespace { if constexpr (is_json) { - if (settings.json.allow_object_type) - return std::make_shared("json", true); + if (settings.json.allow_deprecated_object_type) + return std::make_shared("json", true); } /// Empty Map is Map(Nothing, Nothing) @@ -1226,8 +1226,8 @@ namespace if constexpr (is_json) { - if (settings.json.allow_object_type) - return std::make_shared("json", true); + if (settings.json.allow_deprecated_object_type) + return std::make_shared("json", true); if (settings.json.read_objects_as_strings) return std::make_shared(); @@ -1282,7 +1282,7 @@ namespace { if constexpr (is_json) { - if (!settings.json.allow_object_type && settings.json.try_infer_objects_as_tuples) + if (!settings.json.allow_deprecated_object_type && settings.json.try_infer_objects_as_tuples) return tryInferJSONPaths(buf, settings, json_info, depth); } @@ -1302,7 +1302,7 @@ namespace if (checkCharCaseInsensitive('n', buf)) { if (checkStringCaseInsensitive("ull", buf)) - return makeNullable(std::make_shared()); + return std::make_shared(std::make_shared()); else if (checkStringCaseInsensitive("an", buf)) return std::make_shared(); } @@ -1568,15 +1568,15 @@ DataTypePtr makeNullableRecursively(DataTypePtr type) return nested_type ? std::make_shared(nested_type) : nullptr; } - if (which.isObject()) + if (which.isObjectDeprecated()) { - const auto * object_type = assert_cast(type.get()); + const auto * object_type = assert_cast(type.get()); if (object_type->hasNullableSubcolumns()) return type; - return std::make_shared(object_type->getSchemaFormat(), true); + return std::make_shared(object_type->getSchemaFormat(), true); } - return makeNullable(type); + return makeNullableSafe(type); } NamesAndTypesList getNamesAndRecursivelyNullableTypes(const Block & header) diff --git a/src/Functions/FunctionsConversion.cpp b/src/Functions/FunctionsConversion.cpp index 0f54898177b..d94f0d90e1b 100644 --- a/src/Functions/FunctionsConversion.cpp +++ b/src/Functions/FunctionsConversion.cpp @@ -9,6 +9,7 @@ #include #include #include +#include #include #include #include @@ -35,6 +36,7 @@ #include #include #include +#include #include #include #include @@ -3880,7 +3882,7 @@ private: "Expected tuple with {} subcolumn, but got {} subcolumns", tuple_size, column_tuple.getColumns().size()); - auto res = ColumnObject::create(has_nullable_subcolumns); + auto res = ColumnObjectDeprecated::create(has_nullable_subcolumns); for (size_t i = 0; i < tuple_size; ++i) { ColumnsWithTypeAndName element = {{column_tuple.getColumns()[i], from_types[i], "" }}; @@ -3957,7 +3959,7 @@ private: subcolumn->insertDefault(); } - auto column_object = ColumnObject::create(has_nullable_subcolumns); + auto column_object = ColumnObjectDeprecated::create(has_nullable_subcolumns); for (auto && [key, subcolumn] : subcolumns) { PathInData path(key.toView()); @@ -3968,7 +3970,7 @@ private: }; } - WrapperType createObjectWrapper(const DataTypePtr & from_type, const DataTypeObject * to_type) const + WrapperType createObjectDeprecatedWrapper(const DataTypePtr & from_type, const DataTypeObjectDeprecated * to_type) const { if (const auto * from_tuple = checkAndGetDataType(from_type.get())) { @@ -3987,12 +3989,12 @@ private: return res; }; } - else if (checkAndGetDataType(from_type.get())) + else if (checkAndGetDataType(from_type.get())) { return [is_nullable = to_type->hasNullableSubcolumns()] (ColumnsWithTypeAndName & arguments, const DataTypePtr & , const ColumnNullable * , size_t) -> ColumnPtr { - const auto & column_object = assert_cast(*arguments.front().column); - auto res = ColumnObject::create(is_nullable); + const auto & column_object = assert_cast(*arguments.front().column); + auto res = ColumnObjectDeprecated::create(is_nullable); for (size_t i = 0; i < column_object.size(); i++) res->insert(column_object[i]); @@ -4005,6 +4007,25 @@ private: "Cast to Object can be performed only from flatten named Tuple, Map or String. Got: {}", from_type->getName()); } + WrapperType createObjectWrapper(const DataTypePtr & from_type, const DataTypeObject * to_object) const + { + if (checkAndGetDataType(from_type.get())) + { + return [this](ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable * nullable_source, size_t input_rows_count) + { + auto res = ConvertImplGenericFromString::execute(arguments, result_type, nullable_source, input_rows_count, context)->assumeMutable(); + res->finalize(); + return res; + }; + } + + /// TODO: support CAST between JSON types with different parameters + /// support CAST from Map to JSON + /// support CAST from Tuple to JSON + /// support CAST from Object('json') to JSON + throw Exception(ErrorCodes::TYPE_MISMATCH, "Cast to {} can be performed only from String. Got: {}", magic_enum::enum_name(to_object->getSchemaFormat()), from_type->getName()); + } + WrapperType createVariantToVariantWrapper(const DataTypeVariant & from_variant, const DataTypeVariant & to_variant) const { /// We support only extension of variant type, so, only new types can be added. @@ -5079,6 +5100,8 @@ private: return createTupleWrapper(from_type, checkAndGetDataType(to_type.get())); case TypeIndex::Map: return createMapWrapper(from_type, checkAndGetDataType(to_type.get())); + case TypeIndex::ObjectDeprecated: + return createObjectDeprecatedWrapper(from_type, checkAndGetDataType(to_type.get())); case TypeIndex::Object: return createObjectWrapper(from_type, checkAndGetDataType(to_type.get())); case TypeIndex::AggregateFunction: diff --git a/src/Functions/FunctionsJSON.cpp b/src/Functions/FunctionsJSON.cpp index 1eaf0d1609a..e6892642d56 100644 --- a/src/Functions/FunctionsJSON.cpp +++ b/src/Functions/FunctionsJSON.cpp @@ -739,7 +739,7 @@ public: { NumberType value; - if (!tryGetNumericValueFromJSONElement(value, element, convert_bool_to_integer, error)) + if (!tryGetNumericValueFromJSONElement(value, element, convert_bool_to_integer, /*allow_type_conversion=*/true, error)) return false; auto & col_vec = assert_cast &>(dest); col_vec.insertValue(value); diff --git a/src/Functions/JSONPaths.cpp b/src/Functions/JSONPaths.cpp new file mode 100644 index 00000000000..dfb0386e370 --- /dev/null +++ b/src/Functions/JSONPaths.cpp @@ -0,0 +1,518 @@ +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace DB +{ + +namespace ErrorCodes +{ + extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH; + extern const int BAD_ARGUMENTS; +} + +namespace +{ + +enum class PathsMode +{ + ALL_PATHS, + DYNAMIC_PATHS, + SHARED_DATA_PATHS, +}; + +struct JSONAllPathsImpl +{ + static constexpr auto name = "JSONAllPaths"; + static constexpr auto paths_mode = PathsMode::ALL_PATHS; + static constexpr auto with_types = false; +}; + +struct JSONAllPathsWithTypesImpl +{ + static constexpr auto name = "JSONAllPathsWithTypes"; + static constexpr auto paths_mode = PathsMode::ALL_PATHS; + static constexpr auto with_types = true; +}; + +struct JSONDynamicPathsImpl +{ + static constexpr auto name = "JSONDynamicPaths"; + static constexpr auto paths_mode = PathsMode::DYNAMIC_PATHS; + static constexpr auto with_types = false; +}; + +struct JSONDynamicPathsWithTypesImpl +{ + static constexpr auto name = "JSONDynamicPathsWithTypes"; + static constexpr auto paths_mode = PathsMode::DYNAMIC_PATHS; + static constexpr auto with_types = true; +}; + +struct JSONSharedDataPathsImpl +{ + static constexpr auto name = "JSONSharedDataPaths"; + static constexpr auto paths_mode = PathsMode::SHARED_DATA_PATHS; + static constexpr auto with_types = false; +}; + +struct JSONSharedDataPathsWithTypesImpl +{ + static constexpr auto name = "JSONSharedDataPathsWithTypes"; + static constexpr auto paths_mode = PathsMode::SHARED_DATA_PATHS; + static constexpr auto with_types = true; +}; + +/// Implements functions that extracts paths and types from JSON object column. +/// Used for introspection of the content of the JSON object column. +template +class FunctionJSONPaths : public IFunction +{ +public: + static constexpr auto name = Impl::name; + + static FunctionPtr create(ContextPtr) { return std::make_shared(); } + + std::string getName() const override + { + return name; + } + + size_t getNumberOfArguments() const override { return 1; } + bool useDefaultImplementationForConstants() const override { return true; } + bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return false; } + + DataTypePtr getReturnTypeImpl(const DataTypes & data_types) const override + { + if (data_types.size() != 1) + throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH, "Function {} requires single argument with type JSON", getName()); + + if (data_types[0]->getTypeId() != TypeIndex::Object) + throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH, "Function {} requires argument with type JSON, got: {}", getName(),data_types[0]->getName()); + + if constexpr (Impl::with_types) + return std::make_shared(std::make_shared(), std::make_shared()); + return std::make_shared(std::make_shared()); + } + + ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t) const override + { + const ColumnWithTypeAndName & elem = arguments[0]; + const auto * column_object = typeid_cast(elem.column.get()); + if (!column_object) + throw Exception(ErrorCodes::BAD_ARGUMENTS, "Unexpected column type in function {}. Expected Object column, got {}", getName(), elem.column->getName()); + + const auto & type_object = assert_cast(*elem.type); + if constexpr (Impl::with_types) + return executeWithTypes(*column_object, type_object); + return executeWithoutTypes(*column_object); + } + +private: + ColumnPtr executeWithoutTypes(const ColumnObject & column_object) const + { + if constexpr (Impl::paths_mode == PathsMode::SHARED_DATA_PATHS) + { + /// No need to do anything, we already have a column with all sorted paths in shared data. + const auto & shared_data_array = column_object.getSharedDataNestedColumn(); + const auto & shared_data_paths = assert_cast(shared_data_array.getData()).getColumnPtr(0); + return ColumnArray::create(shared_data_paths, shared_data_array.getOffsetsPtr()); + } + + auto res = ColumnArray::create(ColumnString::create()); + auto & offsets = res->getOffsets(); + ColumnString & data = assert_cast(res->getData()); + + if constexpr (Impl::paths_mode == PathsMode::DYNAMIC_PATHS) + { + /// Collect all dynamic paths. + const auto & dynamic_path_columns = column_object.getDynamicPaths(); + std::vector dynamic_paths; + dynamic_paths.reserve(dynamic_path_columns.size()); + for (const auto & [path, _] : dynamic_path_columns) + dynamic_paths.push_back(path); + /// We want the resulting arrays of paths to be sorted for consistency. + std::sort(dynamic_paths.begin(), dynamic_paths.end()); + + size_t size = column_object.size(); + for (size_t i = 0; i != size; ++i) + { + for (const auto path : dynamic_paths) + { + /// Don't include path if it contains NULL, because we consider + /// it to be equivalent to the absence of this path in this row. + if (!dynamic_path_columns.find(path)->second->isNullAt(i)) + data.insertData(path.data(), path.size()); + } + offsets.push_back(data.size()); + } + return res; + } + + /// Collect all paths: typed, dynamic and paths from shared data. + std::vector sorted_dynamic_and_typed_paths; + const auto & typed_path_columns = column_object.getTypedPaths(); + const auto & dynamic_path_columns = column_object.getDynamicPaths(); + sorted_dynamic_and_typed_paths.reserve(typed_path_columns.size() + dynamic_path_columns.size()); + for (const auto & [path, _] : typed_path_columns) + sorted_dynamic_and_typed_paths.push_back(path); + for (const auto & [path, _] : dynamic_path_columns) + sorted_dynamic_and_typed_paths.push_back(path); + + /// We want the resulting arrays of paths to be sorted for consistency. + std::sort(sorted_dynamic_and_typed_paths.begin(), sorted_dynamic_and_typed_paths.end()); + + const auto & shared_data_offsets = column_object.getSharedDataOffsets(); + const auto [shared_data_paths, _] = column_object.getSharedDataPathsAndValues(); + for (size_t i = 0; i != shared_data_offsets.size(); ++i) + { + size_t start = shared_data_offsets[static_cast(i) - 1]; + size_t end = shared_data_offsets[static_cast(i)]; + /// Merge sorted list of paths from shared data and sorted_dynamic_and_typed_paths + size_t sorted_paths_index = 0; + for (size_t j = start; j != end; ++j) + { + auto shared_data_path = shared_data_paths->getDataAt(j).toView(); + while (sorted_paths_index != sorted_dynamic_and_typed_paths.size() && sorted_dynamic_and_typed_paths[sorted_paths_index] < shared_data_path) + { + const auto path = sorted_dynamic_and_typed_paths[sorted_paths_index]; + /// If it's dynamic path include it only if it's not NULL. + if (auto it = dynamic_path_columns.find(path); it == dynamic_path_columns.end() || !it->second->isNullAt(i)) + data.insertData(path.data(), path.size()); + ++sorted_paths_index; + } + + data.insertData(shared_data_path.data(), shared_data_path.size()); + } + + for (; sorted_paths_index != sorted_dynamic_and_typed_paths.size(); ++sorted_paths_index) + { + const auto path = sorted_dynamic_and_typed_paths[sorted_paths_index]; + if (auto it = dynamic_path_columns.find(path); it == dynamic_path_columns.end() || !it->second->isNullAt(i)) + data.insertData(path.data(), path.size()); + } + + offsets.push_back(data.size()); + } + + return res; + } + + ColumnPtr executeWithTypes(const ColumnObject & column_object, const DataTypeObject & type_object) const + { + auto offsets_column = ColumnArray::ColumnOffsets::create(); + auto & offsets = offsets_column->getData(); + auto paths_column = ColumnString::create(); + auto types_column = ColumnString::create(); + + if constexpr (Impl::paths_mode == PathsMode::DYNAMIC_PATHS) + { + const auto & dynamic_path_columns = column_object.getDynamicPaths(); + std::vector sorted_dynamic_paths; + sorted_dynamic_paths.reserve(dynamic_path_columns.size()); + for (const auto & [path, _] : dynamic_path_columns) + sorted_dynamic_paths.push_back(path); + /// We want the resulting arrays of paths and values to be sorted for consistency. + std::sort(sorted_dynamic_paths.begin(), sorted_dynamic_paths.end()); + + /// Iterate over all rows and extract types from dynamic columns. + for (size_t i = 0; i != column_object.size(); ++i) + { + for (const auto path : sorted_dynamic_paths) + { + const auto & column = dynamic_path_columns.find(path)->second; + if (!column->isNullAt(i)) + { + auto type = getDynamicValueType(column, i); + paths_column->insertData(path.data(), path.size()); + types_column->insertData(type.data(), type.size()); + } + } + + offsets.push_back(paths_column->size()); + } + + return ColumnMap::create(ColumnPtr(std::move(paths_column)), ColumnPtr(std::move(types_column)), ColumnPtr(std::move(offsets_column))); + } + + if constexpr (Impl::paths_mode == PathsMode::SHARED_DATA_PATHS) + { + const auto & shared_data_offsets = column_object.getSharedDataOffsets(); + const auto [shared_data_paths, shared_data_values] = column_object.getSharedDataPathsAndValues(); + /// Iterate over all rows and extract types from dynamic values in shared data. + for (size_t i = 0; i != shared_data_offsets.size(); ++i) + { + size_t start = shared_data_offsets[static_cast(i) - 1]; + size_t end = shared_data_offsets[static_cast(i)]; + for (size_t j = start; j != end; ++j) + { + if (auto type_name = getDynamicValueTypeFromSharedData(shared_data_values->getDataAt(j))) + { + paths_column->insertFrom(*shared_data_paths, j); + types_column->insertData(type_name->data(), type_name->size()); + } + } + + offsets.push_back(paths_column->size()); + } + + return ColumnMap::create(ColumnPtr(std::move(paths_column)), ColumnPtr(std::move(types_column)), ColumnPtr(std::move(offsets_column))); + } + + /// Iterate over all rows and extract types from dynamic columns from dynamic paths and from values in shared data. + std::vector> sorted_typed_and_dynamic_paths_with_types; + const auto & typed_path_types = type_object.getTypedPaths(); + const auto & dynamic_path_columns = column_object.getDynamicPaths(); + sorted_typed_and_dynamic_paths_with_types.reserve(typed_path_types.size() + dynamic_path_columns.size()); + for (const auto & [path, type] : typed_path_types) + sorted_typed_and_dynamic_paths_with_types.emplace_back(path, type->getName()); + for (const auto & [path, _] : dynamic_path_columns) + sorted_typed_and_dynamic_paths_with_types.emplace_back(path, ""); + + /// We want the resulting arrays of paths and values to be sorted for consistency. + std::sort(sorted_typed_and_dynamic_paths_with_types.begin(), sorted_typed_and_dynamic_paths_with_types.end()); + + const auto & shared_data_offsets = column_object.getSharedDataOffsets(); + const auto [shared_data_paths, shared_data_values] = column_object.getSharedDataPathsAndValues(); + for (size_t i = 0; i != shared_data_offsets.size(); ++i) + { + size_t start = shared_data_offsets[static_cast(i) - 1]; + size_t end = shared_data_offsets[static_cast(i)]; + /// Merge sorted list of paths and values from shared data and sorted_typed_and_dynamic_paths_with_types + size_t sorted_paths_index = 0; + for (size_t j = start; j != end; ++j) + { + auto shared_data_path = shared_data_paths->getDataAt(j).toView(); + auto type_name = getDynamicValueTypeFromSharedData(shared_data_values->getDataAt(j)); + /// Skip NULL values. + if (!type_name) + continue; + + while (sorted_paths_index != sorted_typed_and_dynamic_paths_with_types.size() && sorted_typed_and_dynamic_paths_with_types[sorted_paths_index].first < shared_data_path) + { + auto & [path, type] = sorted_typed_and_dynamic_paths_with_types[sorted_paths_index]; + /// Update type for path from dynamic paths. + if (auto it = dynamic_path_columns.find(path); it != dynamic_path_columns.end()) + { + /// Skip NULL values. + if (it->second->isNullAt(i)) + { + ++sorted_paths_index; + continue; + } + type = getDynamicValueType(it->second, i); + } + paths_column->insertData(path.data(), path.size()); + types_column->insertData(type.data(), type.size()); + ++sorted_paths_index; + } + + paths_column->insertData(shared_data_path.data(), shared_data_path.size()); + types_column->insertData(type_name->data(), type_name->size()); + } + + for (; sorted_paths_index != sorted_typed_and_dynamic_paths_with_types.size(); ++sorted_paths_index) + { + auto & [path, type] = sorted_typed_and_dynamic_paths_with_types[sorted_paths_index]; + if (auto it = dynamic_path_columns.find(path); it != dynamic_path_columns.end()) + { + /// Skip NULL values. + if (it->second->isNullAt(i)) + continue; + type = getDynamicValueType(it->second, i); + } + paths_column->insertData(path.data(), path.size()); + types_column->insertData(type.data(), type.size()); + } + + offsets.push_back(paths_column->size()); + } + + return ColumnMap::create(ColumnPtr(std::move(paths_column)), ColumnPtr(std::move(types_column)), ColumnPtr(std::move(offsets_column))); + } + + String getDynamicValueType(const ColumnPtr & column, size_t i) const + { + const ColumnDynamic * dynamic_column = checkAndGetColumn(column.get()); + const auto & variant_info = dynamic_column->getVariantInfo(); + const auto & variant_column = dynamic_column->getVariantColumn(); + auto global_discr = variant_column.globalDiscriminatorAt(i); + /// We don't output path with NULL values. It should be checked before calling getDynamicValueType. + chassert(global_discr != ColumnVariant::NULL_DISCRIMINATOR); + if (global_discr == dynamic_column->getSharedVariantDiscriminator()) + { + auto value = dynamic_column->getSharedVariant().getDataAt(variant_column.offsetAt(i)); + ReadBufferFromMemory buf(value.data, value.size); + auto type = decodeDataType(buf); + return type->getName(); + } + + return variant_info.variant_names[global_discr]; + } + + std::optional getDynamicValueTypeFromSharedData(StringRef value) const + { + ReadBufferFromMemory buf(value.data, value.size); + auto type = decodeDataType(buf); + if (isNothing(type)) + return std::nullopt; + return type->getName(); + } +}; + +} + +REGISTER_FUNCTION(JSONPaths) +{ + factory.registerFunction>(FunctionDocumentation{ + .description = R"( +Returns the list of all paths stored in each row in JSON column. +)", + .syntax = {"JSONAllPaths(json)"}, + .arguments = {{"json", "JSON column"}}, + .examples = {{{ + "Example", + R"( +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONAllPaths(json) FROM test; +)", + R"( +┌─json─────────────────────────────────┬─JSONAllPaths(json)─┐ +│ {"a":"42"} │ ['a'] │ +│ {"b":"Hello"} │ ['b'] │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ ['a','c'] │ +└──────────────────────────────────────┴────────────────────┘ +)"}}}, + .categories{"JSON"}, + }); + + factory.registerFunction>(FunctionDocumentation{ + .description = R"( +Returns the list of all paths and their data types stored in each row in JSON column. +)", + .syntax = {"JSONAllPathsWithTypes(json)"}, + .arguments = {{"json", "JSON column"}}, + .examples = {{{ + "Example", + R"( +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONAllPathsWithTypes(json) FROM test; +)", + R"( +┌─json─────────────────────────────────┬─JSONAllPathsWithTypes(json)───────────────┐ +│ {"a":"42"} │ {'a':'Int64'} │ +│ {"b":"Hello"} │ {'b':'String'} │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ {'a':'Array(Nullable(Int64))','c':'Date'} │ +└──────────────────────────────────────┴───────────────────────────────────────────┘ +)"}}}, + .categories{"JSON"}, + }); + + factory.registerFunction>(FunctionDocumentation{ + .description = R"( +Returns the list of dynamic paths that are stored as separate subcolumns in JSON column. +)", + .syntax = {"JSONDynamicPaths(json)"}, + .arguments = {{"json", "JSON column"}}, + .examples = {{{ + "Example", + R"( +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONDynamicPaths(json) FROM test; +)", + R"( +┌─json─────────────────────────────────┬─JSONDynamicPaths(json)─┐ +│ {"a":"42"} │ ['a'] │ +│ {"b":"Hello"} │ [] │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ ['a'] │ +└──────────────────────────────────────┴────────────────────────┘ +)"}}}, + .categories{"JSON"}, + }); + + factory.registerFunction>(FunctionDocumentation{ + .description = R"( +Returns the list of dynamic paths that are stored as separate subcolumns and their types in each row in JSON column. +)", + .syntax = {"JSONDynamicPathsWithTypes(json)"}, + .arguments = {{"json", "JSON column"}}, + .examples = {{{ + "Example", + R"( +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONDynamicPathsWithTypes(json) FROM test; +)", + R"( +┌─json─────────────────────────────────┬─JSONDynamicPathsWithTypes(json)─┐ +│ {"a":"42"} │ {'a':'Int64'} │ +│ {"b":"Hello"} │ {} │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ {'a':'Array(Nullable(Int64))'} │ +└──────────────────────────────────────┴─────────────────────────────────┘ +)"}}}, + .categories{"JSON"}, + }); + + factory.registerFunction>(FunctionDocumentation{ + .description = R"( +Returns the list of paths that are stored in shared data structure in JSON column. +)", + .syntax = {"JSONDynamicPaths(json)"}, + .arguments = {{"json", "JSON column"}}, + .examples = {{{ + "Example", + R"( +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONSharedDataPaths(json) FROM test; +)", + R"( +┌─json─────────────────────────────────┬─JSONSharedDataPaths(json)─┐ +│ {"a":"42"} │ [] │ +│ {"b":"Hello"} │ ['b'] │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ ['c'] │ +└──────────────────────────────────────┴───────────────────────────┘ +)"}}}, + .categories{"JSON"}, + }); + + factory.registerFunction>(FunctionDocumentation{ + .description = R"( +Returns the list of paths that are stored in shared data structure and their types in each row in JSON column. +)", + .syntax = {"JSONDynamicPathsWithTypes(json)"}, + .arguments = {{"json", "JSON column"}}, + .examples = {{{ + "Example", + R"( +CREATE TABLE test (json JSON(max_dynamic_paths=1)) ENGINE = Memory; +INSERT INTO test FORMAT JSONEachRow {"json" : {"a" : 42}}, {"json" : {"b" : "Hello"}}, {"json" : {"a" : [1, 2, 3], "c" : "2020-01-01"}} +SELECT json, JSONDynamicPathsWithTypes(json) FROM test; +)", + R"( +┌─json─────────────────────────────────┬─JSONDynamicPathsWithTypes(json)─┐ +│ {"a":"42"} │ {'a':'Int64'} │ +│ {"b":"Hello"} │ {} │ +│ {"a":["1","2","3"],"c":"2020-01-01"} │ {'a':'Array(Nullable(Int64))'} │ +└──────────────────────────────────────┴─────────────────────────────────┘ +)"}}}, + .categories{"JSON"}, + }); +} + +} diff --git a/src/Functions/empty.cpp b/src/Functions/empty.cpp index 51811d21a0c..ddb503668cf 100644 --- a/src/Functions/empty.cpp +++ b/src/Functions/empty.cpp @@ -2,10 +2,18 @@ #include #include #include +#include namespace DB { + +namespace ErrorCodes +{ + extern const int BAD_ARGUMENTS; + extern const int ILLEGAL_TYPE_OF_ARGUMENT; +} + namespace { @@ -13,13 +21,135 @@ struct NameEmpty { static constexpr auto name = "empty"; }; + using FunctionEmpty = FunctionStringOrArrayToT, NameEmpty, UInt8, false>; +/// Implements the empty function for JSON type. +class ExecutableFunctionJSONEmpty : public IExecutableFunction +{ +public: + std::string getName() const override { return NameEmpty::name; } + +private: + bool useDefaultImplementationForConstants() const override { return true; } + + ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t) const override + { + const ColumnWithTypeAndName & elem = arguments[0]; + const auto * object_column = typeid_cast(elem.column.get()); + if (!object_column) + throw Exception(ErrorCodes::BAD_ARGUMENTS, "Unexpected column type in function {}. Expected Object column, got {}", getName(), elem.column->getName()); + + auto res = DataTypeUInt8().createColumn(); + auto & data = typeid_cast(*res).getData(); + const auto & typed_paths = object_column->getTypedPaths(); + size_t size = object_column->size(); + /// If object column has at least 1 typed path, it will never be empty, because these paths always have values. + if (!typed_paths.empty()) + { + data.resize_fill(size, 0); + return res; + } + + const auto & dynamic_paths = object_column->getDynamicPaths(); + const auto & shared_data = object_column->getSharedDataPtr(); + data.reserve(size); + for (size_t i = 0; i != size; ++i) + { + bool empty = true; + /// Check if there is no paths in shared data. + if (!shared_data->isDefaultAt(i)) + { + empty = false; + } + /// Check that all dynamic paths have NULL value in this row. + else + { + for (const auto & [path, column] : dynamic_paths) + { + if (!column->isNullAt(i)) + { + empty = false; + break; + } + } + } + + data.push_back(empty); + } + + return res; + } +}; + +class FunctionEmptyJSON final : public IFunctionBase +{ +public: + FunctionEmptyJSON(const DataTypes & argument_types_, const DataTypePtr & return_type_) : argument_types(argument_types_), return_type(return_type_) {} + + String getName() const override { return NameEmpty::name; } + + bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return false; } + + const DataTypes & getArgumentTypes() const override { return argument_types; } + const DataTypePtr & getResultType() const override { return return_type; } + + ExecutableFunctionPtr prepare(const ColumnsWithTypeAndName &) const override + { + return std::make_unique(); + } + +private: + DataTypes argument_types; + DataTypePtr return_type; +}; + +class FunctionEmptyOverloadResolver final : public IFunctionOverloadResolver +{ +public: + static constexpr auto name = NameEmpty::name; + + static FunctionOverloadResolverPtr create(ContextPtr) + { + return std::make_unique(); + } + + String getName() const override { return NameEmpty::name; } + size_t getNumberOfArguments() const override { return 1; } + + FunctionBasePtr buildImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & return_type) const override + { + DataTypes argument_types; + argument_types.reserve(arguments.size()); + for (const auto & arg : arguments) + argument_types.push_back(arg.type); + + if (argument_types.size() == 1 && isObject(argument_types[0])) + return std::make_shared(argument_types, return_type); + + return std::make_shared(std::make_shared(), argument_types, return_type); + } + + DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override + { + if (!isStringOrFixedString(arguments[0]) + && !isArray(arguments[0]) + && !isMap(arguments[0]) + && !isUUID(arguments[0]) + && !isIPv6(arguments[0]) + && !isIPv4(arguments[0]) + && !isObject(arguments[0])) + throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal type {} of argument of function {}", arguments[0]->getName(), getName()); + + return std::make_shared(); + } +}; + } REGISTER_FUNCTION(Empty) { - factory.registerFunction(); + factory.registerFunction(); } } diff --git a/src/IO/ReadHelpers.cpp b/src/IO/ReadHelpers.cpp index 48d788512e4..85422b6dd33 100644 --- a/src/IO/ReadHelpers.cpp +++ b/src/IO/ReadHelpers.cpp @@ -12,6 +12,7 @@ #include #include #include +#include #include @@ -855,6 +856,12 @@ void readBackQuotedString(String & s, ReadBuffer & buf) readBackQuotedStringInto(s, buf); } +bool tryReadBackQuotedString(String & s, ReadBuffer & buf) +{ + s.clear(); + return readAnyQuotedStringInto<'`', false, String, bool>(s, buf); +} + void readBackQuotedStringWithSQLStyle(String & s, ReadBuffer & buf) { s.clear(); @@ -1270,6 +1277,81 @@ ReturnType readJSONArrayInto(Vector & s, ReadBuffer & buf) template void readJSONArrayInto, void>(PaddedPODArray & s, ReadBuffer & buf); template bool readJSONArrayInto, bool>(PaddedPODArray & s, ReadBuffer & buf); +std::string_view readJSONObjectAsViewPossiblyInvalid(ReadBuffer & buf, String & object_buffer) +{ + if (buf.eof() || *buf.position() != '{') + throw Exception(ErrorCodes::INCORRECT_DATA, "JSON object should start with '{{'"); + + char * start = buf.position(); + bool use_object_buffer = false; + object_buffer.clear(); + + ++buf.position(); + Int64 balance = 1; + bool quotes = false; + + while (true) + { + if (!buf.hasPendingData() && !use_object_buffer) + { + use_object_buffer = true; + object_buffer.append(start, buf.position() - start); + } + + if (buf.eof()) + throw Exception(ErrorCodes::INCORRECT_DATA, "Unexpected EOF while reading JSON object"); + + char * next_pos = find_first_symbols<'\\', '{', '}', '"'>(buf.position(), buf.buffer().end()); + if (use_object_buffer) + object_buffer.append(buf.position(), next_pos - buf.position()); + buf.position() = next_pos; + + if (!buf.hasPendingData()) + continue; + + if (use_object_buffer) + object_buffer.push_back(*buf.position()); + + if (*buf.position() == '\\') + { + ++buf.position(); + if (!buf.hasPendingData() && !use_object_buffer) + { + use_object_buffer = true; + object_buffer.append(start, buf.position() - start); + } + + if (buf.eof()) + throw Exception(ErrorCodes::INCORRECT_DATA, "Unexpected EOF while reading JSON object"); + + if (use_object_buffer) + object_buffer.push_back(*buf.position()); + ++buf.position(); + + continue; + } + + if (*buf.position() == '"') + quotes = !quotes; + else if (!quotes) // can be only opening_bracket or closing_bracket + balance += *buf.position() == '{' ? 1 : -1; + + ++buf.position(); + + if (balance == 0) + { + if (use_object_buffer) + return object_buffer; + return {start, buf.position()}; + } + + if (balance < 0) + break; + } + + throw Exception(ErrorCodes::INCORRECT_DATA, "JSON object should have equal number of opening and closing brackets"); +} + template ReturnType readDateTextFallback(LocalDate & date, ReadBuffer & buf, const char * allowed_delimiters) { @@ -1918,6 +2000,11 @@ static ReturnType readParsedValueInto(Vector & s, ReadBuffer & buf, ParseFunc pa return ReturnType(true); } +void readParsedValueIntoString(String & s, ReadBuffer & buf, std::function parse_func) +{ + readParsedValueInto(s, buf, std::move(parse_func)); +} + template static ReturnType readQuotedStringFieldInto(Vector & s, ReadBuffer & buf) { diff --git a/src/IO/ReadHelpers.h b/src/IO/ReadHelpers.h index 8e3e9a2fbe1..05198361ca2 100644 --- a/src/IO/ReadHelpers.h +++ b/src/IO/ReadHelpers.h @@ -614,6 +614,7 @@ bool tryReadDoubleQuotedStringWithSQLStyle(String & s, ReadBuffer & buf); void readJSONString(String & s, ReadBuffer & buf, const FormatSettings::JSON & settings); void readBackQuotedString(String & s, ReadBuffer & buf); +bool tryReadBackQuotedString(String & s, ReadBuffer & buf); void readBackQuotedStringWithSQLStyle(String & s, ReadBuffer & buf); void readStringUntilEOF(String & s, ReadBuffer & buf); @@ -701,6 +702,10 @@ ReturnType readJSONObjectPossiblyInvalid(Vector & s, ReadBuffer & buf); template ReturnType readJSONArrayInto(Vector & s, ReadBuffer & buf); +/// Similar to readJSONObjectPossiblyInvalid but avoids copying the data if JSON object fits into current read buffer +/// If copying is unavoidable, it copies data into provided object_buffer and returns string_view to it. +std::string_view readJSONObjectAsViewPossiblyInvalid(ReadBuffer & buf, String & object_buffer); + template void readStringUntilWhitespaceInto(Vector & s, ReadBuffer & buf); @@ -1937,6 +1942,8 @@ struct PcgDeserializer } }; +void readParsedValueIntoString(String & s, ReadBuffer & buf, std::function parse_func); + template ReturnType readQuotedFieldInto(Vector & s, ReadBuffer & buf); diff --git a/src/IO/parseDateTimeBestEffort.cpp b/src/IO/parseDateTimeBestEffort.cpp index f220577f2cb..8d798bf725c 100644 --- a/src/IO/parseDateTimeBestEffort.cpp +++ b/src/IO/parseDateTimeBestEffort.cpp @@ -593,8 +593,8 @@ ReturnType parseDateTimeBestEffortImpl( else return on_error(ErrorCodes::CANNOT_PARSE_DATETIME, "Cannot read DateTime: unexpected word"); - while (!in.eof() && isAlphaASCII(*in.position())) - ++in.position(); +// while (!in.eof() && isAlphaASCII(*in.position())) +// ++in.position(); /// For RFC 2822 if (has_day_of_week) diff --git a/src/Interpreters/InterpreterShowColumnsQuery.cpp b/src/Interpreters/InterpreterShowColumnsQuery.cpp index d8fff4e6026..472cdedf3ae 100644 --- a/src/Interpreters/InterpreterShowColumnsQuery.cpp +++ b/src/Interpreters/InterpreterShowColumnsQuery.cpp @@ -68,6 +68,7 @@ WITH map( 'Map', 'JSON', 'Tuple', 'JSON', 'Object', 'JSON', + 'JSON', 'JSON', 'String', '{}', 'FixedString', '{}') AS native_to_mysql_mapping, )", diff --git a/src/Interpreters/MutationsInterpreter.cpp b/src/Interpreters/MutationsInterpreter.cpp index 24635870e62..0b93b5989b1 100644 --- a/src/Interpreters/MutationsInterpreter.cpp +++ b/src/Interpreters/MutationsInterpreter.cpp @@ -500,6 +500,12 @@ static void validateUpdateColumns( throw Exception(ErrorCodes::NO_SUCH_COLUMN_IN_TABLE, "There is no column {} in table", backQuote(column_name)); } } + else if (storage_columns.getColumn(GetColumnsOptions::Ordinary, column_name).type->hasDynamicSubcolumns()) + { + throw Exception(ErrorCodes::CANNOT_UPDATE_COLUMN, + "Cannot update column {} with type {}: updates of columns with dynamic subcolumns are not supported", + backQuote(column_name), storage_columns.getColumn(GetColumnsOptions::Ordinary, column_name).type->getName()); + } } } diff --git a/src/Interpreters/TreeRewriter.cpp b/src/Interpreters/TreeRewriter.cpp index 14094c3cccf..f31522ae649 100644 --- a/src/Interpreters/TreeRewriter.cpp +++ b/src/Interpreters/TreeRewriter.cpp @@ -47,10 +47,10 @@ #include #include -#include -#include -#include #include +#include +#include +#include #include #include @@ -1173,9 +1173,9 @@ bool TreeRewriterResult::collectUsedColumns(const ASTPtr & query, bool is_select if (object_pos != std::string::npos) { String object_name = it->substr(0, object_pos); - if (pair.name == object_name && pair.type->getTypeId() == TypeIndex::Object) + if (pair.name == object_name && pair.type->getTypeId() == TypeIndex::ObjectDeprecated) { - const auto * object_type = typeid_cast(pair.type.get()); + const auto * object_type = typeid_cast(pair.type.get()); if (object_type->getSchemaFormat() == "json" && object_type->hasNullableSubcolumns()) { missed_subcolumns.insert(*it); diff --git a/src/Interpreters/convertFieldToType.cpp b/src/Interpreters/convertFieldToType.cpp index 738c51baa64..7e1b4e2fb0e 100644 --- a/src/Interpreters/convertFieldToType.cpp +++ b/src/Interpreters/convertFieldToType.cpp @@ -463,7 +463,7 @@ Field convertFieldToTypeImpl(const Field & src, const IDataType & type, const ID return src; } - else if (isObject(type)) + else if (isObjectDeprecated(type)) { if (src.getType() == Field::Types::Object) return src; /// Already in needed type. @@ -523,6 +523,13 @@ Field convertFieldToTypeImpl(const Field & src, const IDataType & type, const ID /// We can insert any field to Dynamic column. return src; } + else if (isObject(type)) + { + if (src.getType() == Field::Types::Object) + return src; /// Already in needed type. + + /// TODO: add conversion from Map/Tuple to Object. + } /// Conversion from string by parsing. if (src.getType() == Field::Types::String) diff --git a/src/Interpreters/parseColumnsListForTableFunction.cpp b/src/Interpreters/parseColumnsListForTableFunction.cpp index b9fdaabede1..0c6d18dca70 100644 --- a/src/Interpreters/parseColumnsListForTableFunction.cpp +++ b/src/Interpreters/parseColumnsListForTableFunction.cpp @@ -3,6 +3,7 @@ #include #include #include +#include #include #include #include @@ -30,6 +31,7 @@ DataTypeValidationSettings::DataTypeValidationSettings(const DB::Settings& setti , allow_suspicious_variant_types(settings.allow_suspicious_variant_types) , validate_nested_types(settings.validate_experimental_and_suspicious_types_inside_nested_types) , allow_experimental_dynamic_type(settings.allow_experimental_dynamic_type) + , allow_experimental_json_type(settings.allow_experimental_json_type) { } @@ -123,7 +125,7 @@ void validateDataType(const DataTypePtr & type_to_check, const DataTypeValidatio if (!settings.allow_experimental_dynamic_type) { - if (data_type.hasDynamicSubcolumns()) + if (isDynamic(data_type)) { throw Exception( ErrorCodes::ILLEGAL_COLUMN, @@ -132,6 +134,19 @@ void validateDataType(const DataTypePtr & type_to_check, const DataTypeValidatio data_type.getName()); } } + + if (!settings.allow_experimental_json_type) + { + const auto * object_type = typeid_cast(&data_type); + if (object_type && object_type->getSchemaFormat() == DataTypeObject::SchemaFormat::JSON) + { + throw Exception( + ErrorCodes::ILLEGAL_COLUMN, + "Cannot create column with type '{}' because experimental JSON type is not allowed. " + "Set setting allow_experimental_json_type = 1 in order to allow it", + data_type.getName()); + } + } }; validate_callback(*type_to_check); diff --git a/src/Interpreters/parseColumnsListForTableFunction.h b/src/Interpreters/parseColumnsListForTableFunction.h index 6f15c585e4f..6e00492c0ad 100644 --- a/src/Interpreters/parseColumnsListForTableFunction.h +++ b/src/Interpreters/parseColumnsListForTableFunction.h @@ -23,6 +23,7 @@ struct DataTypeValidationSettings bool allow_suspicious_variant_types = true; bool validate_nested_types = true; bool allow_experimental_dynamic_type = true; + bool allow_experimental_json_type = true; }; void validateDataType(const DataTypePtr & type, const DataTypeValidationSettings & settings); diff --git a/src/Parsers/ASTObjectTypeArgument.cpp b/src/Parsers/ASTObjectTypeArgument.cpp new file mode 100644 index 00000000000..975f0389505 --- /dev/null +++ b/src/Parsers/ASTObjectTypeArgument.cpp @@ -0,0 +1,64 @@ +#include +#include +#include + + +namespace DB +{ + +ASTPtr ASTObjectTypeArgument::clone() const +{ + auto res = std::make_shared(*this); + res->children.clear(); + + if (path_with_type) + { + res->path_with_type = path_with_type->clone(); + res->children.push_back(res->path_with_type); + } + else if (skip_path) + { + res->skip_path = skip_path->clone(); + res->children.push_back(res->skip_path); + } + else if (skip_path_regexp) + { + res->skip_path_regexp = skip_path_regexp->clone(); + res->children.push_back(res->skip_path_regexp); + } + else if (parameter) + { + res->parameter = parameter->clone(); + res->children.push_back(res->parameter); + } + + return res; +} + +void ASTObjectTypeArgument::formatImpl(const FormatSettings & settings, FormatState & state, FormatStateStacked frame) const +{ + if (path_with_type) + { + path_with_type->formatImpl(settings, state, frame); + } + else if (parameter) + { + parameter->formatImpl(settings, state, frame); + } + else if (skip_path) + { + std::string indent_str = settings.one_line ? "" : std::string(4 * frame.indent, ' '); + settings.ostr << indent_str << "SKIP" << ' '; + skip_path->formatImpl(settings, state, frame); + } + else if (skip_path_regexp) + { + std::string indent_str = settings.one_line ? "" : std::string(4 * frame.indent, ' '); + settings.ostr << indent_str << "SKIP REGEXP" << ' '; + skip_path_regexp->formatImpl(settings, state, frame); + } +} + +} + + diff --git a/src/Parsers/ASTObjectTypeArgument.h b/src/Parsers/ASTObjectTypeArgument.h new file mode 100644 index 00000000000..ab18d00d770 --- /dev/null +++ b/src/Parsers/ASTObjectTypeArgument.h @@ -0,0 +1,33 @@ +#pragma once + +#include + + +namespace DB +{ + +/** An argument of Object data type declaration (for example for JSON). Can contain one of: + * - pair (path, data type) + * - path that should be skipped + * - path regexp for paths that should be skipped + * - setting in a form of `setting=N` + */ +class ASTObjectTypeArgument : public IAST +{ +public: + ASTPtr path_with_type; + ASTPtr skip_path; + ASTPtr skip_path_regexp; + ASTPtr parameter; + + /** Get the text that identifies this element. */ + String getID(char) const override { return "ASTObjectTypeArgument"; } + ASTPtr clone() const override; + +protected: + void formatImpl(const FormatSettings & settings, FormatState & state, FormatStateStacked frame) const override; +}; + + +} + diff --git a/src/Parsers/CommonParsers.h b/src/Parsers/CommonParsers.h index 34df4b135bb..cc2ee79cd36 100644 --- a/src/Parsers/CommonParsers.h +++ b/src/Parsers/CommonParsers.h @@ -371,6 +371,7 @@ namespace DB MR_MACROS(POPULATE, "POPULATE") \ MR_MACROS(PRECEDING, "PRECEDING") \ MR_MACROS(PRECISION, "PRECISION") \ + MR_MACROS(PREFIX, "PREFIX") \ MR_MACROS(PREWHERE, "PREWHERE") \ MR_MACROS(PRIMARY_KEY, "PRIMARY KEY") \ MR_MACROS(PRIMARY, "PRIMARY") \ @@ -449,6 +450,7 @@ namespace DB MR_MACROS(SHOW, "SHOW") \ MR_MACROS(SIGNED, "SIGNED") \ MR_MACROS(SIMPLE, "SIMPLE") \ + MR_MACROS(SKIP, "SKIP") \ MR_MACROS(SOURCE, "SOURCE") \ MR_MACROS(SPATIAL, "SPATIAL") \ MR_MACROS(SQL_SECURITY, "SQL SECURITY") \ @@ -641,6 +643,32 @@ protected: } }; +class ParserTokenSequence : public IParserBase +{ +private: + std::vector token_types; +public: + ParserTokenSequence(const std::vector & token_types_) : token_types(token_types_) {} /// NOLINT + +protected: + const char * getName() const override { return "token sequence"; } + + bool parseImpl(Pos & pos, ASTPtr & /*node*/, Expected & expected) override + { + for (auto token_type : token_types) + { + if (pos->type != token_type) + { + expected.add(pos, getTokenName(token_type)); + return false; + } + + ++pos; + } + + return true; + } +}; // Parser always returns true and do nothing. class ParserNothing : public IParserBase diff --git a/src/Parsers/ExpressionElementParsers.cpp b/src/Parsers/ExpressionElementParsers.cpp index de395d120d7..dd22b80b1cb 100644 --- a/src/Parsers/ExpressionElementParsers.cpp +++ b/src/Parsers/ExpressionElementParsers.cpp @@ -282,22 +282,106 @@ bool ParserTableAsStringLiteralIdentifier::parseImpl(Pos & pos, ASTPtr & node, E return true; } +namespace +{ + +/// Parser of syntax sugar for reading JSON subcolumns of type Array(JSON): +/// json.a.b[][].c -> json.a.b.:Array(Array(JSON)).c +class ParserArrayOfJSONIdentifierAddition : public IParserBase +{ +public: + String getLastArrayOfJSONSubcolumnIdentifier() const + { + String subcolumn = ":`"; + for (size_t i = 0; i != last_array_level; ++i) + subcolumn += "Array("; + subcolumn += "JSON"; + for (size_t i = 0; i != last_array_level; ++i) + subcolumn += ")"; + return subcolumn + "`"; + } + +protected: + const char * getName() const override { return "ParserArrayOfJSONIdentifierDelimiter"; } + + bool parseImpl(Pos & pos, ASTPtr & /*node*/, Expected & expected) override + { + last_array_level = 0; + ParserTokenSequence brackets_parser(std::vector{TokenType::OpeningSquareBracket, TokenType::ClosingSquareBracket}); + if (!brackets_parser.check(pos, expected)) + return false; + ++last_array_level; + while (brackets_parser.check(pos, expected)) + ++last_array_level; + return true; + } + +private: + size_t last_array_level; +}; + +} bool ParserCompoundIdentifier::parseImpl(Pos & pos, ASTPtr & node, Expected & expected) { - ASTPtr id_list; - if (!ParserList(std::make_unique(allow_query_parameter, highlight_type), std::make_unique(TokenType::Dot), false) - .parse(pos, id_list, expected)) - return false; + auto element_parser = std::make_unique(allow_query_parameter, highlight_type); + std::vector> delimiter_parsers; + delimiter_parsers.emplace_back(std::make_unique(std::vector{TokenType::Dot, TokenType::Colon}), SpecialDelimiter::JSON_PATH_DYNAMIC_TYPE); + delimiter_parsers.emplace_back(std::make_unique(std::vector{TokenType::Dot, TokenType::Caret}), SpecialDelimiter::JSON_PATH_PREFIX); + delimiter_parsers.emplace_back(std::make_unique(TokenType::Dot), SpecialDelimiter::NONE); + ParserArrayOfJSONIdentifierAddition array_of_json_identifier_addition; std::vector parts; + SpecialDelimiter last_special_delimiter = SpecialDelimiter::NONE; ASTs params; - const auto & list = id_list->as(); - for (const auto & child : list.children) + + bool is_first = true; + Pos begin = pos; + while (true) { - parts.emplace_back(getIdentifierName(child)); + ASTPtr element; + if (!element_parser->parse(pos, element, expected)) + { + if (is_first) + return false; + pos = begin; + break; + } + + if (last_special_delimiter != SpecialDelimiter::NONE) + { + parts.push_back(static_cast(last_special_delimiter) + backQuote(getIdentifierName(element))); + } + else + { + parts.push_back(getIdentifierName(element)); + /// Check if we have Array of JSON subcolumn additioon after identifier + /// and replace it with corresponding type subcolumn. + if (!is_first && array_of_json_identifier_addition.check(pos, expected)) + parts.push_back(array_of_json_identifier_addition.getLastArrayOfJSONSubcolumnIdentifier()); + } + if (parts.back().empty()) - params.push_back(child->as()->getParam()); + params.push_back(element->as()->getParam()); + + is_first = false; + begin = pos; + bool parsed_delimiter = false; + for (const auto & [parser, special_delimiter] : delimiter_parsers) + { + if (parser->check(pos, expected)) + { + parsed_delimiter = true; + last_special_delimiter = special_delimiter; + break; + } + } + + if (!parsed_delimiter) + { + pos = begin; + break; + } } ParserKeyword s_uuid(Keyword::UUID); diff --git a/src/Parsers/ExpressionElementParsers.h b/src/Parsers/ExpressionElementParsers.h index 0209e785bff..903111f32db 100644 --- a/src/Parsers/ExpressionElementParsers.h +++ b/src/Parsers/ExpressionElementParsers.h @@ -52,11 +52,22 @@ protected: /** An identifier, possibly containing a dot, for example, x_yz123 or `something special` or Hits.EventTime, - * possibly with UUID clause like `db name`.`table name` UUID 'xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx' + * possibly with UUID clause like `db name`.`table name` UUID 'xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx'. + * There is also special delimiters `.:` and `.^` for JSON type subcolumns. In case of special delimiter + * the next identifier part after it will include special delimiter and be back quoted always: json.a.b.:UInt32 -> ['json', 'a', 'b', ':`UInt32`']. + * It's needed to distinguish identifiers json.a.b.:UInt32 and json.a.b.`:UInt32`. + * There is also a special syntax sugar for reading JSON subcolumns of type Array(JSON): json.a.b[][].c -> json.a.b.:Array(Array(JSON)).c */ class ParserCompoundIdentifier : public IParserBase { public: + enum class SpecialDelimiter : char + { + NONE = '\0', + JSON_PATH_DYNAMIC_TYPE = ':', + JSON_PATH_PREFIX = '^', + }; + explicit ParserCompoundIdentifier(bool table_name_with_optional_uuid_ = false, bool allow_query_parameter_ = false, Highlight highlight_type_ = Highlight::identifier) : table_name_with_optional_uuid(table_name_with_optional_uuid_), allow_query_parameter(allow_query_parameter_), highlight_type(highlight_type_) { diff --git a/src/Parsers/Lexer.cpp b/src/Parsers/Lexer.cpp index b4601389696..43c4ab867d1 100644 --- a/src/Parsers/Lexer.cpp +++ b/src/Parsers/Lexer.cpp @@ -423,6 +423,8 @@ Token Lexer::nextTokenImpl() } case '?': return Token(TokenType::QuestionMark, token_begin, ++pos); + case '^': + return Token(TokenType::Caret, token_begin, ++pos); case ':': { ++pos; diff --git a/src/Parsers/Lexer.h b/src/Parsers/Lexer.h index 6f31d56292d..9dc0850abfd 100644 --- a/src/Parsers/Lexer.h +++ b/src/Parsers/Lexer.h @@ -45,6 +45,7 @@ namespace DB M(Arrow) /** ->. Should be distinguished from minus operator. */ \ M(QuestionMark) \ M(Colon) \ + M(Caret) \ M(DoubleColon) \ M(Equals) \ M(NotEquals) \ diff --git a/src/Parsers/ParserCreateQuery.cpp b/src/Parsers/ParserCreateQuery.cpp index cc4e02f46a3..31dc2075db4 100644 --- a/src/Parsers/ParserCreateQuery.cpp +++ b/src/Parsers/ParserCreateQuery.cpp @@ -53,40 +53,6 @@ ASTPtr parseComment(IParser::Pos & pos, Expected & expected) } - -bool ParserNestedTable::parseImpl(Pos & pos, ASTPtr & node, Expected & expected) -{ - ParserToken open(TokenType::OpeningRoundBracket); - ParserToken close(TokenType::ClosingRoundBracket); - ParserIdentifier name_p; - ParserNameTypePairList columns_p; - - ASTPtr name; - ASTPtr columns; - - /// For now `name == 'Nested'`, probably alternative nested data structures will appear - if (!name_p.parse(pos, name, expected)) - return false; - - if (!open.ignore(pos, expected)) - return false; - - if (!columns_p.parse(pos, columns, expected)) - return false; - - if (!close.ignore(pos, expected)) - return false; - - auto func = std::make_shared(); - tryGetIdentifierNameInto(name, func->name); - - func->arguments = columns; - func->children.push_back(columns); - node = func; - - return true; -} - bool ParserSQLSecurity::parseImpl(Pos & pos, ASTPtr & node, Expected & expected) { ParserToken s_eq(TokenType::Equals); diff --git a/src/Parsers/ParserCreateQuery.h b/src/Parsers/ParserCreateQuery.h index 53a62deb22b..82da2e7ea0b 100644 --- a/src/Parsers/ParserCreateQuery.h +++ b/src/Parsers/ParserCreateQuery.h @@ -18,15 +18,6 @@ namespace DB { -/** A nested table. For example, Nested(UInt32 CounterID, FixedString(2) UserAgentMajor) - */ -class ParserNestedTable : public IParserBase -{ -protected: - const char * getName() const override { return "nested table"; } - bool parseImpl(Pos & pos, ASTPtr & node, Expected & expected) override; -}; - /** Parses sql security option. DEFINER = user_name SQL SECURITY DEFINER */ class ParserSQLSecurity : public IParserBase diff --git a/src/Parsers/ParserDataType.cpp b/src/Parsers/ParserDataType.cpp index 2edb0141e12..d86b659df90 100644 --- a/src/Parsers/ParserDataType.cpp +++ b/src/Parsers/ParserDataType.cpp @@ -4,6 +4,7 @@ #include #include #include +#include #include #include #include @@ -16,8 +17,8 @@ namespace DB namespace { -/// Parser of Dynamic type arguments: Dynamic(max_types=N) -class DynamicArgumentsParser : public IParserBase +/// Parser of Dynamic type argument: Dynamic(max_types=N) +class DynamicArgumentParser : public IParserBase { private: const char * getName() const override { return "Dynamic data type optional argument"; } @@ -46,14 +47,84 @@ private: } }; +/// Parser of Object type argument. For example: JSON(some_parameter=N, some.path SomeType, SKIP skip.path, ...) +class ObjectArgumentParser : public IParserBase +{ +private: + const char * getName() const override { return "JSON data type optional argument"; } + bool parseImpl(Pos & pos, ASTPtr & node, Expected & expected) override + { + auto argument = std::make_shared(); + + /// SKIP arguments + if (ParserKeyword(Keyword::SKIP).ignore(pos)) + { + /// SKIP REGEXP '' + if (ParserKeyword(Keyword::REGEXP).ignore(pos)) + { + ParserStringLiteral literal_parser; + ASTPtr literal; + if (!literal_parser.parse(pos, literal, expected)) + return false; + argument->skip_path_regexp = literal; + argument->children.push_back(argument->skip_path_regexp); + } + /// SKIP some.path + else + { + ParserCompoundIdentifier compound_identifier_parser; + ASTPtr compound_identifier; + if (!compound_identifier_parser.parse(pos, compound_identifier, expected)) + return false; + + argument->skip_path = compound_identifier; + argument->children.push_back(argument->skip_path); + } + + node = argument; + return true; + } + + ParserCompoundIdentifier compound_identifier_parser; + ASTPtr identifier; + if (!compound_identifier_parser.parse(pos, identifier, expected)) + return false; + + /// some_parameter=N + if (pos->type == TokenType::Equals) + { + ++pos; + ASTPtr number; + ParserNumber number_parser; + if (!number_parser.parse(pos, number, expected)) + return false; + + argument->parameter = makeASTFunction("equals", identifier, number); + argument->children.push_back(argument->parameter); + node = argument; + return true; + } + + ParserDataType type_parser; + ASTPtr type; + if (!type_parser.parse(pos, type, expected)) + return false; + + auto name_and_type = std::make_shared(); + name_and_type->name = getIdentifierName(identifier); + name_and_type->type = type; + name_and_type->children.push_back(name_and_type->type); + argument->path_with_type = name_and_type; + argument->children.push_back(argument->path_with_type); + node = argument; + return true; + } +}; + } bool ParserDataType::parseImpl(Pos & pos, ASTPtr & node, Expected & expected) { - ParserNestedTable nested; - if (nested.parse(pos, node, expected)) - return true; - String type_name; ParserIdentifier name_parser; @@ -171,10 +242,12 @@ bool ParserDataType::parseImpl(Pos & pos, ASTPtr & node, Expected & expected) /// Allow mixed lists of nested and normal types. /// Parameters are either: - /// - Nested table elements; + /// - Nested table element; + /// - Tuple element /// - Enum element in form of 'a' = 1; /// - literal; - /// - Dynamic type arguments; + /// - Dynamic type argument; + /// - JSON type argument; /// - another data type (or identifier); size_t arg_num = 0; @@ -192,13 +265,24 @@ bool ParserDataType::parseImpl(Pos & pos, ASTPtr & node, Expected & expected) ASTPtr arg; if (type_name == "Dynamic") { - DynamicArgumentsParser parser; + DynamicArgumentParser parser; + parser.parse(pos, arg, expected); + } + else if (type_name == "JSON") + { + ObjectArgumentParser parser; parser.parse(pos, arg, expected); } else if (type_name == "Nested") { - ParserNestedTable nested_parser; - nested_parser.parse(pos, arg, expected); + ParserNameTypePair name_and_type_parser; + name_and_type_parser.parse(pos, arg, expected); + } + else if (type_name == "Tuple") + { + ParserNameTypePair name_and_type_parser; + ParserDataType only_type_parser; + name_and_type_parser.parse(pos, arg, expected) || only_type_parser.parse(pos, arg, expected); } else if (type_name == "AggregateFunction" || type_name == "SimpleAggregateFunction") { @@ -252,9 +336,6 @@ bool ParserDataType::parseImpl(Pos & pos, ASTPtr & node, Expected & expected) ++arg_num; } - if (pos->type == TokenType::Comma) - // ignore trailing comma inside Nested structures like Tuple(Int, Tuple(Int, String),) - ++pos; if (pos->type != TokenType::ClosingRoundBracket) return false; ++pos; diff --git a/src/Processors/Formats/Impl/JSONAsStringRowInputFormat.cpp b/src/Processors/Formats/Impl/JSONAsStringRowInputFormat.cpp index 9da5e533324..a72c6037619 100644 --- a/src/Processors/Formats/Impl/JSONAsStringRowInputFormat.cpp +++ b/src/Processors/Formats/Impl/JSONAsStringRowInputFormat.cpp @@ -168,10 +168,11 @@ JSONAsObjectRowInputFormat::JSONAsObjectRowInputFormat( const Block & header_, ReadBuffer & in_, Params params_, const FormatSettings & format_settings_) : JSONAsRowInputFormat(header_, in_, params_, format_settings_) { - if (!isObject(header_.getByPosition(0).type)) + const auto & type = header_.getByPosition(0).type; + if (!isObject(type) && !isObjectDeprecated(type)) throw Exception(ErrorCodes::BAD_ARGUMENTS, - "Input format JSONAsObject is only suitable for tables with a single column of type Object but the column type is {}", - header_.getByPosition(0).type->getName()); + "Input format JSONAsObject is only suitable for tables with a single column of type Object/JSON but the column type is {}", + type->getName()); } void JSONAsObjectRowInputFormat::readJSONObject(IColumn & column) @@ -186,13 +187,13 @@ Chunk JSONAsObjectRowInputFormat::getChunkForCount(size_t rows) return Chunk({std::move(column)}, rows); } -JSONAsObjectExternalSchemaReader::JSONAsObjectExternalSchemaReader(const FormatSettings & settings) +JSONAsObjectExternalSchemaReader::JSONAsObjectExternalSchemaReader(const FormatSettings & settings_) : settings(settings_) { - if (!settings.json.allow_object_type) + if (!settings.json.allow_deprecated_object_type && !settings.json.allow_json_type) throw Exception( ErrorCodes::ILLEGAL_COLUMN, - "Cannot infer the data structure in JSONAsObject format because experimental Object type is not allowed. Set setting " - "allow_experimental_object_type = 1 in order to allow it"); + "Cannot infer the data structure in JSONAsObject format because experimental Object/JSON type is not allowed. Set setting " + "allow_experimental_object_type = 1 or allow_experimental_json_type=1 in order to allow it"); } void registerInputFormatJSONAsString(FormatFactory & factory) diff --git a/src/Processors/Formats/Impl/JSONAsStringRowInputFormat.h b/src/Processors/Formats/Impl/JSONAsStringRowInputFormat.h index 5eaa88182b7..f33108472de 100644 --- a/src/Processors/Formats/Impl/JSONAsStringRowInputFormat.h +++ b/src/Processors/Formats/Impl/JSONAsStringRowInputFormat.h @@ -5,6 +5,7 @@ #include #include #include +#include #include namespace DB @@ -70,12 +71,17 @@ public: class JSONAsObjectExternalSchemaReader : public IExternalSchemaReader { public: - explicit JSONAsObjectExternalSchemaReader(const FormatSettings & settings); + explicit JSONAsObjectExternalSchemaReader(const FormatSettings & settings_); NamesAndTypesList readSchema() override { - return {{"json", std::make_shared("json", false)}}; + if (settings.json.allow_json_type) + return {{"json", std::make_shared(DataTypeObject::SchemaFormat::JSON)}}; + return {{"json", std::make_shared("json", false)}}; } + +private: + FormatSettings settings; }; } diff --git a/src/Processors/QueryPlan/PartsSplitter.cpp b/src/Processors/QueryPlan/PartsSplitter.cpp index a12fce95b10..63c10a11913 100644 --- a/src/Processors/QueryPlan/PartsSplitter.cpp +++ b/src/Processors/QueryPlan/PartsSplitter.cpp @@ -49,7 +49,7 @@ bool isSafePrimaryDataKeyType(const IDataType & data_type) case TypeIndex::Float32: case TypeIndex::Float64: case TypeIndex::Nullable: - case TypeIndex::Object: + case TypeIndex::ObjectDeprecated: return false; case TypeIndex::Array: { diff --git a/src/Storages/AlterCommands.cpp b/src/Storages/AlterCommands.cpp index d5780e32db3..8fbd6cbd29d 100644 --- a/src/Storages/AlterCommands.cpp +++ b/src/Storages/AlterCommands.cpp @@ -7,6 +7,7 @@ #include #include #include +#include #include #include #include @@ -1403,14 +1404,22 @@ void AlterCommands::validate(const StoragePtr & table, ContextPtr context) const const GetColumnsOptions options(GetColumnsOptions::All); const auto old_data_type = all_columns.getColumn(options, column_name).type; - bool new_type_has_object = command.data_type->hasDynamicSubcolumnsDeprecated(); - bool old_type_has_object = old_data_type->hasDynamicSubcolumnsDeprecated(); + bool new_type_has_deprecated_object = command.data_type->hasDynamicSubcolumnsDeprecated(); + bool old_type_has_deprecated_object = old_data_type->hasDynamicSubcolumnsDeprecated(); - if (new_type_has_object || old_type_has_object) + if (new_type_has_deprecated_object || old_type_has_deprecated_object) throw Exception( ErrorCodes::BAD_ARGUMENTS, "The change of data type {} of column {} to {} is not allowed. It has known bugs", old_data_type->getName(), backQuote(column_name), command.data_type->getName()); + + bool has_object_type = isObject(command.data_type); + command.data_type->forEachChild([&](const IDataType & type){ has_object_type |= isObject(type); }); + if (has_object_type) + throw Exception( + ErrorCodes::BAD_ARGUMENTS, + "The change of data type {} of column {} to {} is not supported.", + old_data_type->getName(), backQuote(column_name), command.data_type->getName()); } if (command.isRemovingProperty()) diff --git a/src/Storages/MergeTree/MergeTreeDataPartWriterCompact.cpp b/src/Storages/MergeTree/MergeTreeDataPartWriterCompact.cpp index 52d12c9db7d..f4be7619fc8 100644 --- a/src/Storages/MergeTree/MergeTreeDataPartWriterCompact.cpp +++ b/src/Storages/MergeTree/MergeTreeDataPartWriterCompact.cpp @@ -164,7 +164,7 @@ void writeColumnSingleGranule( serialize_settings.position_independent_encoding = true; serialize_settings.low_cardinality_max_dictionary_size = 0; serialize_settings.use_compact_variant_discriminators_serialization = settings.use_compact_variant_discriminators_serialization; - serialize_settings.dynamic_write_statistics = ISerialization::SerializeBinaryBulkSettings::DynamicStatisticsMode::PREFIX; + serialize_settings.object_and_dynamic_write_statistics = ISerialization::SerializeBinaryBulkSettings::ObjectAndDynamicStatisticsMode::PREFIX; serialization->serializeBinaryBulkStatePrefix(*column.column, serialize_settings, state); serialization->serializeBinaryBulkWithMultipleStreams(*column.column, from_row, number_of_rows, serialize_settings, state); diff --git a/src/Storages/MergeTree/MergeTreeDataPartWriterWide.cpp b/src/Storages/MergeTree/MergeTreeDataPartWriterWide.cpp index 3fbabe1dd52..3edcce74b09 100644 --- a/src/Storages/MergeTree/MergeTreeDataPartWriterWide.cpp +++ b/src/Storages/MergeTree/MergeTreeDataPartWriterWide.cpp @@ -132,6 +132,10 @@ void MergeTreeDataPartWriterWide::addStreams( { assert(!substream_path.empty()); + /// Don't create streams for ephemeral subcolumns that don't store any real data. + if (ISerialization::isEphemeralSubcolumn(substream_path, substream_path.size())) + return; + auto full_stream_name = ISerialization::getFileNameForStream(name_and_type, substream_path); String stream_name; @@ -205,6 +209,10 @@ ISerialization::OutputStreamGetter MergeTreeDataPartWriterWide::createStreamGett { return [&, this] (const ISerialization::SubstreamPath & substream_path) -> WriteBuffer * { + /// Skip ephemeral subcolumns that don't store any real data. + if (ISerialization::isEphemeralSubcolumn(substream_path, substream_path.size())) + return nullptr; + bool is_offsets = !substream_path.empty() && substream_path.back().type == ISerialization::Substream::ArraySizes; auto stream_name = getStreamName(column, substream_path); @@ -367,6 +375,10 @@ StreamsWithMarks MergeTreeDataPartWriterWide::getCurrentMarksForColumn( min_compress_block_size = settings.min_compress_block_size; getSerialization(name_and_type.name)->enumerateStreams([&] (const ISerialization::SubstreamPath & substream_path) { + /// Skip ephemeral subcolumns that don't store any real data. + if (ISerialization::isEphemeralSubcolumn(substream_path, substream_path.size())) + return; + bool is_offsets = !substream_path.empty() && substream_path.back().type == ISerialization::Substream::ArraySizes; auto stream_name = getStreamName(name_and_type, substream_path); @@ -405,6 +417,10 @@ void MergeTreeDataPartWriterWide::writeSingleGranule( /// So that instead of the marks pointing to the end of the compressed block, there were marks pointing to the beginning of the next one. serialization->enumerateStreams([&] (const ISerialization::SubstreamPath & substream_path) { + /// Skip ephemeral subcolumns that don't store any real data. + if (ISerialization::isEphemeralSubcolumn(substream_path, substream_path.size())) + return; + bool is_offsets = !substream_path.empty() && substream_path.back().type == ISerialization::Substream::ArraySizes; auto stream_name = getStreamName(name_and_type, substream_path); @@ -656,7 +672,7 @@ void MergeTreeDataPartWriterWide::fillDataChecksums(MergeTreeDataPartChecksums & if (!serialization_states.empty()) { serialize_settings.getter = createStreamGetter(*it, written_offset_columns ? *written_offset_columns : offset_columns); - serialize_settings.dynamic_write_statistics = ISerialization::SerializeBinaryBulkSettings::DynamicStatisticsMode::SUFFIX; + serialize_settings.object_and_dynamic_write_statistics = ISerialization::SerializeBinaryBulkSettings::ObjectAndDynamicStatisticsMode::SUFFIX; getSerialization(it->name)->serializeBinaryBulkStateSuffix(serialize_settings, serialization_states[it->name]); } diff --git a/src/Storages/MergeTree/MergeTreeReaderCompact.cpp b/src/Storages/MergeTree/MergeTreeReaderCompact.cpp index 69dc2e4b2bb..7451374070c 100644 --- a/src/Storages/MergeTree/MergeTreeReaderCompact.cpp +++ b/src/Storages/MergeTree/MergeTreeReaderCompact.cpp @@ -234,7 +234,7 @@ void MergeTreeReaderCompact::readPrefix( serialization = getSerializationInPart(name_and_type); deserialize_settings.getter = buffer_getter; - deserialize_settings.dynamic_read_statistics = true; + deserialize_settings.object_and_dynamic_read_statistics = true; serialization->deserializeBinaryBulkStatePrefix(deserialize_settings, deserialize_binary_bulk_state_map[name_and_type.name], nullptr); } catch (Exception & e) diff --git a/src/Storages/MergeTree/MergeTreeReaderWide.cpp b/src/Storages/MergeTree/MergeTreeReaderWide.cpp index b6882fdced9..898bf5a2933 100644 --- a/src/Storages/MergeTree/MergeTreeReaderWide.cpp +++ b/src/Storages/MergeTree/MergeTreeReaderWide.cpp @@ -213,6 +213,10 @@ void MergeTreeReaderWide::addStreams( ISerialization::StreamCallback callback = [&] (const ISerialization::SubstreamPath & substream_path) { + /// Don't create streams for ephemeral subcolumns that don't store any real data. + if (ISerialization::isEphemeralSubcolumn(substream_path, substream_path.size())) + return; + auto stream_name = IMergeTreeDataPart::getStreamNameForColumn(name_and_type, substream_path, data_part_info_for_read->getChecksums()); /** If data file is missing then we will not try to open it. @@ -326,7 +330,7 @@ void MergeTreeReaderWide::deserializePrefix( if (!deserialize_binary_bulk_state_map.contains(name)) { ISerialization::DeserializeBinaryBulkSettings deserialize_settings; - deserialize_settings.dynamic_read_statistics = true; + deserialize_settings.object_and_dynamic_read_statistics = true; deserialize_settings.getter = [&](const ISerialization::SubstreamPath & substream_path) { return getStream(/* seek_to_start = */true, substream_path, data_part_info_for_read->getChecksums(), name_and_type, 0, /* seek_to_mark = */false, current_task_last_mark, cache); @@ -348,6 +352,10 @@ void MergeTreeReaderWide::prefetchForColumn( deserializePrefix(serialization, name_and_type, current_task_last_mark, cache, deserialize_states_cache); auto callback = [&](const ISerialization::SubstreamPath & substream_path) { + /// Skip ephemeral subcolumns that don't store any real data. + if (ISerialization::isEphemeralSubcolumn(substream_path, substream_path.size())) + return; + auto stream_name = IMergeTreeDataPart::getStreamNameForColumn(name_and_type, substream_path, data_part_info_for_read->getChecksums()); if (stream_name && !prefetched_streams.contains(*stream_name)) diff --git a/src/Storages/MergeTree/checkDataPart.cpp b/src/Storages/MergeTree/checkDataPart.cpp index fb86d9e7603..3a22daa0011 100644 --- a/src/Storages/MergeTree/checkDataPart.cpp +++ b/src/Storages/MergeTree/checkDataPart.cpp @@ -215,6 +215,10 @@ static IMergeTreeDataPart::Checksums checkDataPart( { get_serialization(column)->enumerateStreams([&](const ISerialization::SubstreamPath & substream_path) { + /// Skip ephemeral subcolumns that don't store any real data. + if (ISerialization::isEphemeralSubcolumn(substream_path, substream_path.size())) + return; + auto stream_name = IMergeTreeDataPart::getStreamNameForColumn(column, substream_path, ".bin", data_part_storage); if (!stream_name) diff --git a/tests/integration/test_distributed_type_object/test.py b/tests/integration/test_distributed_type_object/test.py index e274bd6b774..64acdda887b 100644 --- a/tests/integration/test_distributed_type_object/test.py +++ b/tests/integration/test_distributed_type_object/test.py @@ -16,7 +16,7 @@ def started_cluster(): for node in (node1, node2): node.query( - "CREATE TABLE local_table(id UInt32, data JSON) ENGINE = MergeTree ORDER BY id", + "CREATE TABLE local_table(id UInt32, data Object('json')) ENGINE = MergeTree ORDER BY id", settings={"allow_experimental_object_type": 1}, ) node.query( diff --git a/tests/performance/json_type.xml b/tests/performance/json_type.xml index b6406f52579..db3fd844f89 100644 --- a/tests/performance/json_type.xml +++ b/tests/performance/json_type.xml @@ -27,9 +27,9 @@ - CREATE TABLE t_json_1(data JSON) ENGINE = MergeTree ORDER BY tuple() - CREATE TABLE t_json_2(data JSON) ENGINE = MergeTree ORDER BY tuple() - CREATE TABLE t_json_3(data JSON) ENGINE = MergeTree ORDER BY tuple() + CREATE TABLE t_json_1(data Object('json')) ENGINE = MergeTree ORDER BY tuple() + CREATE TABLE t_json_2(data Object('json')) ENGINE = MergeTree ORDER BY tuple() + CREATE TABLE t_json_3(data Object('json')) ENGINE = MergeTree ORDER BY tuple() INSERT INTO t_json_1 SELECT materialize({json1}) FROM numbers(200000) INSERT INTO t_json_2 SELECT {json2} FROM numbers(100000) diff --git a/tests/performance/new_json_type.xml b/tests/performance/new_json_type.xml new file mode 100644 index 00000000000..1ad21850c6c --- /dev/null +++ b/tests/performance/new_json_type.xml @@ -0,0 +1,41 @@ + + + 1 + + + + + + + json1 + + '{"k1":1, "k2": "some"}' + + + + json2 + + '{"col' || toString(number % 100) || '":' || toString(number) || '}' + + + + json3 + + '{"k1":[{"k2":"aaa","k3":[{"k4":"bbb"},{"k4":"ccc"}]},{"k2":"ddd","k3":[{"k4":"eee"},{"k4":"fff"}]}]}' + + + + + CREATE TABLE t_json_1(data JSON) ENGINE = MergeTree ORDER BY tuple() + CREATE TABLE t_json_2(data JSON) ENGINE = MergeTree ORDER BY tuple() + CREATE TABLE t_json_3(data JSON) ENGINE = MergeTree ORDER BY tuple() + + INSERT INTO t_json_1 SELECT materialize({json1}) FROM numbers(200000) + INSERT INTO t_json_2 SELECT {json2} FROM numbers(100000) + INSERT INTO t_json_3 SELECT materialize({json3}) FROM numbers_mt(100000) + + DROP TABLE IF EXISTS t_json_1 + DROP TABLE IF EXISTS t_json_2 + DROP TABLE IF EXISTS t_json_3 + diff --git a/tests/queries/0_stateless/00727_concat.reference b/tests/queries/0_stateless/00727_concat.reference index 329ad36ad3c..a93bf12b77a 100644 --- a/tests/queries/0_stateless/00727_concat.reference +++ b/tests/queries/0_stateless/00727_concat.reference @@ -34,6 +34,7 @@ With 2023-11-14 05:50:12.123 With hallo With [\'foo\',\'bar\'] With {"foo":"bar"} +With {"foo":"bar"} With (42,\'foo\') With {42:\'foo\'} With 122.233.64.201 diff --git a/tests/queries/0_stateless/00727_concat.sql b/tests/queries/0_stateless/00727_concat.sql index 76dae541261..65cd019cc13 100644 --- a/tests/queries/0_stateless/00727_concat.sql +++ b/tests/queries/0_stateless/00727_concat.sql @@ -2,6 +2,7 @@ -- no-fasttest: json type needs rapidjson library, geo types need s2 geometry SET allow_experimental_object_type = 1; +SET allow_experimental_json_type = 1; SET allow_suspicious_low_cardinality_types=1; SELECT '-- Const string + non-const arbitrary type'; @@ -40,6 +41,7 @@ SELECT concat('With ', materialize('2023-11-14 05:50:12.123' :: DateTime64(3, 'E SELECT concat('With ', materialize('hallo' :: Enum('hallo' = 1))); SELECT concat('With ', materialize(['foo', 'bar'] :: Array(String))); SELECT concat('With ', materialize('{"foo": "bar"}' :: JSON)); +SELECT concat('With ', materialize('{"foo": "bar"}' :: Object('json'))); SELECT concat('With ', materialize((42, 'foo') :: Tuple(Int32, String))); SELECT concat('With ', materialize(map(42, 'foo') :: Map(Int32, String))); SELECT concat('With ', materialize('122.233.64.201' :: IPv4)); diff --git a/tests/queries/0_stateless/01548_create_table_compound_column_format.reference b/tests/queries/0_stateless/01548_create_table_compound_column_format.reference index c6c4dcdfa4a..21e31e8f034 100644 --- a/tests/queries/0_stateless/01548_create_table_compound_column_format.reference +++ b/tests/queries/0_stateless/01548_create_table_compound_column_format.reference @@ -1,12 +1,12 @@ CREATE TABLE test ( `a` Int64, - `b` NESTED(a Int64) + `b` Nested(a Int64) ) ENGINE = TinyLog CREATE TABLE test ( `a` Int64, - `b` TUPLE(a Int64) + `b` Tuple(a Int64) ) ENGINE = TinyLog diff --git a/tests/queries/0_stateless/01548_create_table_compound_column_format.sh b/tests/queries/0_stateless/01548_create_table_compound_column_format.sh index 99e3aed2825..9065af17dc1 100755 --- a/tests/queries/0_stateless/01548_create_table_compound_column_format.sh +++ b/tests/queries/0_stateless/01548_create_table_compound_column_format.sh @@ -4,6 +4,6 @@ CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) # shellcheck source=../shell_config.sh . "$CURDIR"/../shell_config.sh -echo "CREATE TABLE test(a Int64, b NESTED(a Int64)) ENGINE=TinyLog" | $CLICKHOUSE_FORMAT +echo "CREATE TABLE test(a Int64, b Nested(a Int64)) ENGINE=TinyLog" | $CLICKHOUSE_FORMAT -echo "CREATE TABLE test(a Int64, b TUPLE(a Int64)) ENGINE=TinyLog" | $CLICKHOUSE_FORMAT \ No newline at end of file +echo "CREATE TABLE test(a Int64, b Tuple(a Int64)) ENGINE=TinyLog" | $CLICKHOUSE_FORMAT \ No newline at end of file diff --git a/tests/queries/0_stateless/01825_new_type_json_10.reference b/tests/queries/0_stateless/01825_new_type_json_10.reference new file mode 100644 index 00000000000..d70c8210914 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_10.reference @@ -0,0 +1,13 @@ +('a.b','Int64') +('a.c','Array(JSON(max_dynamic_types=16, max_dynamic_paths=256))') +('d','Int64') +('e','Array(Nullable(Int64))') +('f','Int64') +{"o":{"a":{"b":"1","c":[{"d":"10","e":["31"]},{"d":"20","e":["63","127"]}]}}} +{"o":{"a":{"b":"2","c":[]}}} +{"o":{"a":{"b":"3","c":[{"e":["32"],"f":"20"},{"e":["64","128"],"f":"30"}]}}} +{"o":{"a":{"b":"4","c":[]}}} +1 [10,20] [[31],[63,127]] [NULL,NULL] +2 [] [] [] +3 [NULL,NULL] [[32],[64,128]] [20,30] +4 [] [] [] diff --git a/tests/queries/0_stateless/01825_new_type_json_10.sql b/tests/queries/0_stateless/01825_new_type_json_10.sql new file mode 100644 index 00000000000..f586cc4477b --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_10.sql @@ -0,0 +1,17 @@ +-- Tags: no-fasttest + +SET allow_experimental_json_type = 1; + +DROP TABLE IF EXISTS t_json_10; +CREATE TABLE t_json_10 (o JSON) ENGINE = Memory; + +INSERT INTO t_json_10 FORMAT JSONAsObject {"a": {"b": 1, "c": [{"d": 10, "e": [31]}, {"d": 20, "e": [63, 127]}]}} {"a": {"b": 2, "c": []}} + +INSERT INTO t_json_10 FORMAT JSONAsObject {"a": {"b": 3, "c": [{"f": 20, "e": [32]}, {"f": 30, "e": [64, 128]}]}} {"a": {"b": 4, "c": []}} + +SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(o)) as path FROM t_json_10 order by path; +SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(arrayJoin(o.a.c.:`Array(JSON)`))) as path FROM t_json_10 order by path; +SELECT o FROM t_json_10 ORDER BY o.a.b FORMAT JSONEachRow; +SELECT o.a.b, o.a.c.:`Array(JSON)`.d, o.a.c.:`Array(JSON)`.e, o.a.c.:`Array(JSON)`.f FROM t_json_10 ORDER BY o.a.b; + +DROP TABLE t_json_10; diff --git a/tests/queries/0_stateless/01825_new_type_json_11.reference b/tests/queries/0_stateless/01825_new_type_json_11.reference new file mode 100644 index 00000000000..aa3375a23cb --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_11.reference @@ -0,0 +1,13 @@ +('id','Int64') +('key_1','Array(JSON(max_dynamic_types=16, max_dynamic_paths=256))') +('key_2','Int64') +('key_3','Array(JSON(max_dynamic_types=8, max_dynamic_paths=64))') +('key_4','Array(JSON(max_dynamic_types=4, max_dynamic_paths=16))') +('key_7','Int64') +('key_5','Int64') +{"obj":{"id":"1","key_1":[{"key_2":"100","key_3":[{"key_4":[{"key_5":"-2"}],"key_7":"257"}]},{"key_2":"65536"}]}} +{"obj":{"id":"2","key_1":[{"key_2":"101","key_3":[{"key_4":[{"key_5":"-2"}]}]},{"key_2":"102","key_3":[{"key_7":"257"}]},{"key_2":"65536"}]}} +{"obj.key_1.:`Array(JSON)`.key_3":[[{"key_4":[{"key_5":"-2"}],"key_7":"257"}],null]} +{"obj.key_1.:`Array(JSON)`.key_3":[[{"key_4":[{"key_5":"-2"}]}],[{"key_7":"257"}],null]} +[[[-2]],[]] [[257],[]] +[[[-2]],[[]],[]] [[NULL],[257],[]] diff --git a/tests/queries/0_stateless/01825_new_type_json_11.sh b/tests/queries/0_stateless/01825_new_type_json_11.sh new file mode 100755 index 00000000000..f448b7433ab --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_11.sh @@ -0,0 +1,64 @@ +#!/usr/bin/env bash +# Tags: no-fasttest + +CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) +# shellcheck source=../shell_config.sh +. "$CURDIR"/../shell_config.sh + +$CLICKHOUSE_CLIENT -q "DROP TABLE IF EXISTS t_json_11" + +$CLICKHOUSE_CLIENT -q "CREATE TABLE t_json_11 (obj JSON) ENGINE = MergeTree ORDER BY tuple()" --allow_experimental_json_type 1 + +cat < notEmpty(x), outpoints)" + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS btc" + +rm ${CLICKHOUSE_USER_FILES_UNIQUE}/btc_transactions.json diff --git a/tests/queries/0_stateless/01825_new_type_json_distributed.reference b/tests/queries/0_stateless/01825_new_type_json_distributed.reference new file mode 100644 index 00000000000..b2cbe847542 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_distributed.reference @@ -0,0 +1,4 @@ +{"k1":"2","k2":{"k3":"qqq","k4":["44","55"]}} {'k1':'Int64','k2.k3':'String','k2.k4':'Array(Nullable(Int64))'} +{"k1":"2","k2":{"k3":"qqq","k4":["44","55"]}} {'k1':'Int64','k2.k3':'String','k2.k4':'Array(Nullable(Int64))'} +2 qqq [44,55] +2 qqq [44,55] diff --git a/tests/queries/0_stateless/01825_new_type_json_distributed.sql b/tests/queries/0_stateless/01825_new_type_json_distributed.sql new file mode 100644 index 00000000000..0fede046927 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_distributed.sql @@ -0,0 +1,18 @@ +-- Tags: no-fasttest + +SET allow_experimental_json_type = 1; + +DROP TABLE IF EXISTS t_json_local; +DROP TABLE IF EXISTS t_json_dist; + +CREATE TABLE t_json_local(data JSON) ENGINE = MergeTree ORDER BY tuple(); +CREATE TABLE t_json_dist AS t_json_local ENGINE = Distributed(test_cluster_two_shards, currentDatabase(), t_json_local); + +INSERT INTO t_json_local FORMAT JSONAsObject {"k1": 2, "k2": {"k3": "qqq", "k4": [44, 55]}} +; + +SELECT data, JSONAllPathsWithTypes(data) FROM t_json_dist; +SELECT data.k1, data.k2.k3, data.k2.k4 FROM t_json_dist; + +DROP TABLE IF EXISTS t_json_local; +DROP TABLE IF EXISTS t_json_dist; diff --git a/tests/queries/0_stateless/01825_new_type_json_ephemeral.reference b/tests/queries/0_stateless/01825_new_type_json_ephemeral.reference new file mode 100644 index 00000000000..7efe8cea252 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_ephemeral.reference @@ -0,0 +1 @@ +PushEvent some-repo {"actor":{"avatar_url":"https:\\/\\/avatars.githubusercontent.com\\/u\\/123213213?","display_login":"github-actions","gravatar_id":"","id":"123123123","login":"github-actions[bot]","url":"https:\\/\\/api.github.com\\/users\\/github-actions[bot]"},"created_at":"2022-01-04 07:00:00","repo":{"id":"1001001010101","name":"some-repo","url":"https:\\/\\/api.github.com\\/repos\\/some-repo"},"type":"PushEvent"} diff --git a/tests/queries/0_stateless/01825_new_type_json_ephemeral.sql b/tests/queries/0_stateless/01825_new_type_json_ephemeral.sql new file mode 100644 index 00000000000..4aaebfd326f --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_ephemeral.sql @@ -0,0 +1,18 @@ + +SET allow_experimental_json_type = 1; + +DROP TABLE IF EXISTS t_github_json; + +CREATE table t_github_json +( + event_type LowCardinality(String) DEFAULT JSONExtractString(message_raw, 'type'), + repo_name LowCardinality(String) DEFAULT JSONExtractString(message_raw, 'repo', 'name'), + message JSON DEFAULT empty(message_raw) ? '{}' : message_raw, + message_raw String EPHEMERAL +) ENGINE = MergeTree ORDER BY (event_type, repo_name); + +INSERT INTO t_github_json (message_raw) FORMAT JSONEachRow {"message_raw": "{\"type\":\"PushEvent\", \"created_at\": \"2022-01-04 07:00:00\", \"actor\":{\"avatar_url\":\"https://avatars.githubusercontent.com/u/123213213?\",\"display_login\":\"github-actions\",\"gravatar_id\":\"\",\"id\":123123123,\"login\":\"github-actions[bot]\",\"url\":\"https://api.github.com/users/github-actions[bot]\"},\"repo\":{\"id\":1001001010101,\"name\":\"some-repo\",\"url\":\"https://api.github.com/repos/some-repo\"}}"} + +SELECT * FROM t_github_json ORDER BY event_type, repo_name; + +DROP TABLE t_github_json; diff --git a/tests/queries/0_stateless/01825_new_type_json_ghdata.reference b/tests/queries/0_stateless/01825_new_type_json_ghdata.reference new file mode 100644 index 00000000000..ca2fb7e8ff9 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_ghdata.reference @@ -0,0 +1,12 @@ +5000 +leonardomso/33-js-concepts 3 +ytdl-org/youtube-dl 3 +Bogdanp/neko 2 +bminossi/AllVideoPocsFromHackerOne 2 +disclose/diodata 2 +Commit 182 +chipeo345 119 +phanwi346 114 +Nicholas Piggin 95 +direwolf-github 49 +2 diff --git a/tests/queries/0_stateless/01825_new_type_json_ghdata.sh b/tests/queries/0_stateless/01825_new_type_json_ghdata.sh new file mode 100755 index 00000000000..acb4925ce6e --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_ghdata.sh @@ -0,0 +1,26 @@ +#!/usr/bin/env bash +# Tags: no-fasttest + +CUR_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) +# shellcheck source=../shell_config.sh +. "$CUR_DIR"/../shell_config.sh + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS ghdata" +${CLICKHOUSE_CLIENT} -q "CREATE TABLE ghdata (data JSON) ENGINE = MergeTree ORDER BY tuple() SETTINGS index_granularity = 8192, index_granularity_bytes = '10Mi'" --allow_experimental_json_type 1 + +cat $CUR_DIR/data_json/ghdata_sample.json | ${CLICKHOUSE_CLIENT} -q "INSERT INTO ghdata FORMAT JSONAsObject" + +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM ghdata WHERE NOT ignore(*)" + +${CLICKHOUSE_CLIENT} -q \ +"SELECT data.repo.name, count() AS stars FROM ghdata \ + WHERE data.type = 'WatchEvent' GROUP BY data.repo.name ORDER BY stars DESC, data.repo.name LIMIT 5" + +${CLICKHOUSE_CLIENT} --allow_experimental_analyzer=1 -q \ +"SELECT data.payload.commits[].author.name AS name, count() AS c FROM ghdata \ + ARRAY JOIN data.payload.commits[].author.name \ + GROUP BY name ORDER BY c DESC, name LIMIT 5" + +${CLICKHOUSE_CLIENT} -q "SELECT max(data.payload.pull_request.assignees[].size0) FROM ghdata" + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS ghdata" diff --git a/tests/queries/0_stateless/01825_new_type_json_ghdata_insert_select.reference b/tests/queries/0_stateless/01825_new_type_json_ghdata_insert_select.reference new file mode 100644 index 00000000000..d00491fd7e5 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_ghdata_insert_select.reference @@ -0,0 +1 @@ +1 diff --git a/tests/queries/0_stateless/01825_new_type_json_ghdata_insert_select.sh b/tests/queries/0_stateless/01825_new_type_json_ghdata_insert_select.sh new file mode 100755 index 00000000000..ef87034ff89 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_ghdata_insert_select.sh @@ -0,0 +1,27 @@ +#!/usr/bin/env bash +# Tags: no-fasttest, long + +CUR_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) +# shellcheck source=../shell_config.sh +. "$CUR_DIR"/../shell_config.sh + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS ghdata_2" +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS ghdata_2_string" +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS ghdata_2_from_string" + +${CLICKHOUSE_CLIENT} -q "CREATE TABLE ghdata_2 (data JSON) ENGINE = MergeTree ORDER BY tuple() SETTINGS index_granularity = 8192, index_granularity_bytes = '10Mi'" --allow_experimental_json_type 1 +${CLICKHOUSE_CLIENT} -q "CREATE TABLE ghdata_2_string (data String) ENGINE = MergeTree ORDER BY tuple() SETTINGS index_granularity = 8192, index_granularity_bytes = '10Mi'" +${CLICKHOUSE_CLIENT} -q "CREATE TABLE ghdata_2_from_string (data JSON) ENGINE = MergeTree ORDER BY tuple() SETTINGS index_granularity = 8192, index_granularity_bytes = '10Mi'" --allow_experimental_json_type 1 + +cat $CUR_DIR/data_json/ghdata_sample.json | ${CLICKHOUSE_CLIENT} -q "INSERT INTO ghdata_2 FORMAT JSONAsObject" +cat $CUR_DIR/data_json/ghdata_sample.json | ${CLICKHOUSE_CLIENT} -q "INSERT INTO ghdata_2_string FORMAT JSONAsString" + +${CLICKHOUSE_CLIENT} -q "INSERT INTO ghdata_2_from_string SELECT data FROM ghdata_2_string" + +${CLICKHOUSE_CLIENT} -q "SELECT \ + (SELECT mapSort(groupUniqArrayMap(JSONAllPathsWithTypes(data))), sum(cityHash64(toString(data))) FROM ghdata_2_from_string) = \ + (SELECT mapSort(groupUniqArrayMap(JSONAllPathsWithTypes(data))), sum(cityHash64(toString(data))) FROM ghdata_2)" + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS ghdata_2" +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS ghdata_2_string" +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS ghdata_2_from_string" diff --git a/tests/queries/0_stateless/01825_new_type_json_in_array.reference b/tests/queries/0_stateless/01825_new_type_json_in_array.reference new file mode 100644 index 00000000000..aa33d9a7413 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_in_array.reference @@ -0,0 +1,30 @@ +{"id":1,"arr":[{"k1":"1","k2":{"k3":"2","k4":"3"}},{"k1":"2","k2":{"k5":"foo"}}]} +{"id":2,"arr":[{"k1":"3","k2":{"k3":"4","k4":"5"}}]} +1 [1,2] [2,NULL] [3,NULL] [NULL,'foo'] +2 [3] [4] [5] [NULL] +{"arr":{"k1":"1","k2":{"k3":"2","k4":"3"}}} +{"arr":{"k1":"2","k2":{"k5":"foo"}}} +{"arr":{"k1":"3","k2":{"k3":"4","k4":"5"}}} +('k1','Int64') +('k2.k3','Int64') +('k2.k4','Int64') +('k2.k5','String') +{"id":1,"arr":[{"k1":[{"k2":"aaa","k3":"bbb"},{"k2":"ccc"}]}]} +{"id":2,"arr":[{"k1":[{"k3":"ddd","k4":"10"},{"k4":"20"}],"k5":{"k6":"foo"}}]} +1 [['aaa','ccc']] [['bbb',NULL]] [[NULL,NULL]] [NULL] +2 [[NULL,NULL]] [['ddd',NULL]] [[10,20]] ['foo'] +{"k1":{"k2":"aaa","k3":"bbb"}} +{"k1":{"k2":"ccc"}} +{"k1":{"k3":"ddd","k4":"10"}} +{"k1":{"k4":"20"}} +('k2','String') +('k3','String') +('k4','Int64') +[['{"k2":"aaa","k3":"bbb"}','{"k2":"ccc"}']] +[['{"k3":"ddd","k4":"10"}','{"k4":"20"}']] +{"arr":[{"x":1}]} +{"arr":{"x":{"y":1},"t":{"y":2}}} +{"arr":[1,{"y":1}]} +{"arr":[2,{"y":2}]} +{"arr":[{"x":"aaa","y":["1","2","3"]}]} +{"arr":[{"x":1}]} diff --git a/tests/queries/0_stateless/01825_new_type_json_in_array.sql b/tests/queries/0_stateless/01825_new_type_json_in_array.sql new file mode 100644 index 00000000000..42ab1f64681 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_in_array.sql @@ -0,0 +1,39 @@ +-- Tags: no-fasttest + +SET allow_experimental_json_type = 1; +SET allow_experimental_analyzer = 1; +DROP TABLE IF EXISTS t_json_array; + +CREATE TABLE t_json_array (id UInt32, arr Array(JSON)) ENGINE = MergeTree ORDER BY id; + +INSERT INTO t_json_array FORMAT JSONEachRow {"id": 1, "arr": [{"k1": 1, "k2": {"k3": 2, "k4": 3}}, {"k1": 2, "k2": {"k5": "foo"}}]} + +INSERT INTO t_json_array FORMAT JSONEachRow {"id": 2, "arr": [{"k1": 3, "k2": {"k3": 4, "k4": 5}}]} + + +SELECT * FROM t_json_array ORDER BY id FORMAT JSONEachRow; +SELECT id, arr.k1, arr.k2.k3, arr.k2.k4, arr.k2.k5 FROM t_json_array ORDER BY id; +SELECT arr FROM t_json_array ARRAY JOIN arr ORDER BY arr.k1 FORMAT JSONEachRow; +SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(arrayJoin(arr))) as path FROM t_json_array order by path; + +TRUNCATE TABLE t_json_array; + +INSERT INTO t_json_array FORMAT JSONEachRow {"id": 1, "arr": [{"k1": [{"k2": "aaa", "k3": "bbb"}, {"k2": "ccc"}]}]} + +INSERT INTO t_json_array FORMAT JSONEachRow {"id": 2, "arr": [{"k1": [{"k3": "ddd", "k4": 10}, {"k4": 20}], "k5": {"k6": "foo"}}]} + +SELECT * FROM t_json_array ORDER BY id FORMAT JSONEachRow; +SELECT id, arr.k1[].k2, arr.k1[].k3, arr.k1[].k4, arr.k5.k6 FROM t_json_array ORDER BY id; + +SELECT arrayJoin(arrayJoin(arr.k1[])) AS k1 FROM t_json_array ORDER BY toString(k1) FORMAT JSONEachRow; +SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(arrayJoin(arrayJoin(arr.k1[])))) AS path FROM t_json_array order by path; + +SELECT arr.k1 FROM t_json_array GROUP BY arr.k1 ORDER BY toString(arr.k1); + +DROP TABLE t_json_array; + +SELECT * FROM values('arr Array(JSON)', '[\'{"x" : 1}\']') FORMAT JSONEachRow; +SELECT * FROM values('arr Map(String, JSON)', '{\'x\' : \'{"y" : 1}\', \'t\' : \'{"y" : 2}\'}') FORMAT JSONEachRow; +SELECT * FROM values('arr Tuple(Int32, JSON)', '(1, \'{"y" : 1}\')', '(2, \'{"y" : 2}\')') FORMAT JSONEachRow; +SELECT * FROM format(JSONEachRow, '{"arr" : [{"x" : "aaa", "y" : [1,2,3]}]}') FORMAT JSONEachRow; +SELECT * FROM values('arr Array(JSON)', '[\'{"x" : 1}\']') FORMAT JSONEachRow; diff --git a/tests/queries/0_stateless/01825_new_type_json_in_other_types.reference b/tests/queries/0_stateless/01825_new_type_json_in_other_types.reference new file mode 100644 index 00000000000..03913e5098e --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_in_other_types.reference @@ -0,0 +1,17 @@ +Tuple(String, Map(String, Array(JSON)), JSON) +============= +{"id":1,"data":["foo",{"aa":[{"k1":[{"k2":"1","k3":"2"},{"k3":"3"}]},{"k1":[{"k2":"4"},{"k3":"5"},{"k2":"6"}],"k4":"qqq"}],"bb":[{"k4":"www"},{"k1":[{"k2":"7","k3":"8"},{"k2":"9","k3":"10"},{"k2":"11","k3":"12"}]}]},{"k1":"aa","k2":{"k3":"bb","k4":"c"}}]} +{"id":2,"data":["bar",{"aa":[{"k1":[{"k2":"13","k3":"14"},{"k2":"15","k3":"16"}],"k4":"www"}]},{}]} +{"id":3,"data":["some",{"aa":[{"k1":[{"k3":"20","k5":"some"}]}]},{"k1":"eee"}]} +============= +{"aa":[{"k1":[{"k2":"1","k3":"2"},{"k3":"3"}]},{"k1":[{"k2":"4"},{"k3":"5"},{"k2":"6"}],"k4":"qqq"}],"bb":[{"k4":"www"},{"k1":[{"k2":"7","k3":"8"},{"k2":"9","k3":"10"},{"k2":"11","k3":"12"}]}]} +{"aa":[{"k1":[{"k2":"13","k3":"14"},{"k2":"15","k3":"16"}],"k4":"www"}],"bb":[]} +{"aa":[{"k1":[{"k3":"20","k5":"some"}]}],"bb":[]} +============= +{"k1":[[{"k2":"1","k3":"2"},{"k3":"3"}],[{"k2":"4"},{"k3":"5"},{"k2":"6"}]],"k4":[null,"qqq"]} +{"k1":[[{"k2":"13","k3":"14"},{"k2":"15","k3":"16"}]],"k4":["www"]} +{"k1":[[{"k3":"20","k5":"some"}]],"k4":[null]} +============= +{"obj":{"k1":"aa","k2":{"k3":"bb","k4":"c"}}} +{"obj":{}} +{"obj":{"k1":"eee"}} diff --git a/tests/queries/0_stateless/01825_new_type_json_in_other_types.sh b/tests/queries/0_stateless/01825_new_type_json_in_other_types.sh new file mode 100755 index 00000000000..1c7b64c73a1 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_in_other_types.sh @@ -0,0 +1,90 @@ +#!/usr/bin/env bash +# Tags: no-fasttest + +CUR_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) +# shellcheck source=../shell_config.sh +. "$CUR_DIR"/../shell_config.sh + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS t_json_nested" + +${CLICKHOUSE_CLIENT} -q " + CREATE TABLE t_json_nested + ( + id UInt32, + data Tuple(String, Map(String, Array(JSON)), JSON) + ) + ENGINE = MergeTree ORDER BY id" --allow_experimental_json_type 1 + +cat < 1; + +SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM type_json_dst ORDER BY path; +SELECT id, data FROM type_json_dst ORDER BY id; + +INSERT INTO type_json_dst VALUES (4, '{"arr": [{"k11": 5, "k22": 6}, {"k11": 7, "k33": 8}]}'); + +INSERT INTO type_json_src VALUES (5, '{"arr": "not array"}'); + +INSERT INTO type_json_dst SELECT * FROM type_json_src WHERE id = 5; + +TRUNCATE TABLE type_json_src; +INSERT INTO type_json_src VALUES (6, '{"arr": [{"k22": "str1"}]}'); + +INSERT INTO type_json_dst SELECT * FROM type_json_src WHERE id = 5; + +SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM type_json_dst ORDER BY path; +SELECT id, data FROM type_json_dst ORDER BY id; + +DROP TABLE type_json_src; +DROP TABLE type_json_dst; + +CREATE TABLE type_json_dst (data JSON) ENGINE = MergeTree ORDER BY tuple(); +CREATE TABLE type_json_src (data String) ENGINE = MergeTree ORDER BY tuple(); + +SYSTEM STOP MERGES type_json_src; + +SET max_threads = 1; +SET max_insert_threads = 1; +SET output_format_json_named_tuples_as_objects = 1; + +INSERT INTO type_json_src FORMAT JSONAsString {"k1": 1, "k10": [{"a": "1", "b": "2"}, {"a": "2", "b": "3"}]}; + +INSERT INTO type_json_src FORMAT JSONAsString {"k1": 2, "k10": [{"a": "1", "b": "2", "c": {"k11": "haha"}}]}; + +INSERT INTO type_json_dst SELECT data FROM type_json_src; + +SELECT * FROM type_json_dst ORDER BY data.k1 FORMAT JSONEachRow; +SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM type_json_dst ORDER BY path; + +TRUNCATE TABLE type_json_src; +TRUNCATE TABLE type_json_dst; + +INSERT INTO type_json_src FORMAT JSONAsString {"k1": 2, "k10": [{"a": "1", "b": "2", "c": {"k11": "haha"}}]}; + +INSERT INTO type_json_src FORMAT JSONAsString {"k1": 1, "k10": [{"a": "1", "b": "2"}, {"a": "2", "b": "3"}]}; + +INSERT INTO type_json_dst SELECT data FROM type_json_src; + +SELECT * FROM type_json_dst ORDER BY data.k1 FORMAT JSONEachRow; +SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM type_json_dst ORDER BY path; + +DROP TABLE type_json_src; +DROP TABLE type_json_dst; diff --git a/tests/queries/0_stateless/01825_new_type_json_missed_values.reference b/tests/queries/0_stateless/01825_new_type_json_missed_values.reference new file mode 100644 index 00000000000..952b5652bc1 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_missed_values.reference @@ -0,0 +1,4 @@ +('foo','Int64') +('k1','Int64') +('k2','Int64') +1 diff --git a/tests/queries/0_stateless/01825_new_type_json_missed_values.sql b/tests/queries/0_stateless/01825_new_type_json_missed_values.sql new file mode 100644 index 00000000000..84bd8a19c18 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_missed_values.sql @@ -0,0 +1,19 @@ +-- Tags: no-fasttest + +DROP TABLE IF EXISTS t_json; + +SET allow_experimental_json_type = 1; + +CREATE TABLE t_json(id UInt64, obj JSON) +ENGINE = MergeTree ORDER BY id +SETTINGS min_bytes_for_wide_part = 0; + +SYSTEM STOP MERGES t_json; + +INSERT INTO t_json SELECT number, '{"k1": 1, "k2": 2}' FROM numbers(1000000); +INSERT INTO t_json VALUES (1000001, '{"foo": 1}'); + +SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(obj)) AS path FROM t_json ORDER BY path; +SELECT count() FROM t_json WHERE obj.foo IS NOT NULL; + +DROP TABLE IF EXISTS t_json; diff --git a/tests/queries/0_stateless/01825_new_type_json_multiple_files.reference b/tests/queries/0_stateless/01825_new_type_json_multiple_files.reference new file mode 100644 index 00000000000..63c12792c17 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_multiple_files.reference @@ -0,0 +1,22 @@ +{"data":{"k0":"100"}} +{"data":{"k1":"100"}} +{"data":{"k2":"100"}} +{"data":{"k3":"100"}} +{"data":{"k4":"100"}} +{"data":{"k5":"100"}} +('k0','Int64') +('k1','Int64') +('k2','Int64') +('k3','Int64') +('k4','Int64') +('k5','Int64') +{"data":{"k0":"100"}} +{"data":{"k1":"100"}} +{"data":{"k2":"100"}} +('k0','Int64') +('k1','Int64') +('k2','Int64') +{"data":{"k1":"100"}} +{"data":{"k3":"100"}} +('k1','Int64') +('k3','Int64') diff --git a/tests/queries/0_stateless/01825_new_type_json_multiple_files.sh b/tests/queries/0_stateless/01825_new_type_json_multiple_files.sh new file mode 100755 index 00000000000..9cb37987628 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_multiple_files.sh @@ -0,0 +1,43 @@ +#!/usr/bin/env bash +# Tags: no-fasttest + +CUR_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) +# shellcheck source=../shell_config.sh +. "$CUR_DIR"/../shell_config.sh + +for f in "${USER_FILES_PATH:?}/${CLICKHOUSE_DATABASE}"_*.json; do + [ -e $f ] && rm $f +done + +for i in {0..5}; do + echo "{\"k$i\": 100}" > "$USER_FILES_PATH/${CLICKHOUSE_DATABASE}_$i.json" +done + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS t_json_files" +${CLICKHOUSE_CLIENT} -q "CREATE TABLE t_json_files (file String, data JSON) ENGINE = MergeTree ORDER BY tuple()" --allow_experimental_json_type 1 + +${CLICKHOUSE_CLIENT} -q "INSERT INTO t_json_files SELECT _file, data FROM file('${CLICKHOUSE_DATABASE}_*.json', 'JSONAsObject', 'data JSON')" --allow_experimental_json_type 1 + +${CLICKHOUSE_CLIENT} -q "SELECT data FROM t_json_files ORDER BY file FORMAT JSONEachRow" --output_format_json_named_tuples_as_objects 1 +${CLICKHOUSE_CLIENT} -q "SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM t_json_files ORDER BY path" + +${CLICKHOUSE_CLIENT} -q "TRUNCATE TABLE IF EXISTS t_json_files" + +${CLICKHOUSE_CLIENT} -q "INSERT INTO t_json_files \ + SELECT _file, data FROM file('${CLICKHOUSE_DATABASE}_*.json', 'JSONAsObject', 'data JSON') \ + ORDER BY _file LIMIT 3" --max_threads 1 --min_insert_block_size_rows 1 --max_insert_block_size 1 --max_block_size 1 --allow_experimental_json_type 1 + +${CLICKHOUSE_CLIENT} -q "SELECT data FROM t_json_files ORDER BY file, data FORMAT JSONEachRow" --output_format_json_named_tuples_as_objects 1 +${CLICKHOUSE_CLIENT} -q "SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM t_json_files ORDER BY path" + +${CLICKHOUSE_CLIENT} -q "TRUNCATE TABLE IF EXISTS t_json_files" + +${CLICKHOUSE_CLIENT} -q "INSERT INTO t_json_files \ + SELECT _file, data FROM file('${CLICKHOUSE_DATABASE}_*.json', 'JSONAsObject', 'data JSON') \ + WHERE _file IN ('${CLICKHOUSE_DATABASE}_1.json', '${CLICKHOUSE_DATABASE}_3.json')" --allow_experimental_json_type 1 + +${CLICKHOUSE_CLIENT} -q "SELECT data FROM t_json_files ORDER BY file FORMAT JSONEachRow" --output_format_json_named_tuples_as_objects 1 +${CLICKHOUSE_CLIENT} -q "SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM t_json_files ORDER BY path" + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS t_json_files" +rm "$USER_FILES_PATH"/${CLICKHOUSE_DATABASE}_*.json diff --git a/tests/queries/0_stateless/01825_new_type_json_mutations.reference b/tests/queries/0_stateless/01825_new_type_json_mutations.reference new file mode 100644 index 00000000000..c7523661a3b --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_mutations.reference @@ -0,0 +1,7 @@ +1 q {"k1":"1","k2":"2","k3":[{"k4":"aaa"},{"k4":"bbb"}]} +2 w {"k1":"3","k2":"4","k3":[{"k4":"ccc"}]} +3 e {"k1":"5","k2":"6"} +1 q {"k1":"1","k2":"2","k3":[{"k4":"aaa"},{"k4":"bbb"}]} +3 e {"k1":"5","k2":"6"} +1 foo +3 foo diff --git a/tests/queries/0_stateless/01825_new_type_json_mutations.sql b/tests/queries/0_stateless/01825_new_type_json_mutations.sql new file mode 100644 index 00000000000..77feee692d9 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_mutations.sql @@ -0,0 +1,21 @@ +-- Tags: no-fasttest + +DROP TABLE IF EXISTS t_json_mutations; + +SET allow_experimental_json_type = 1; +SET output_format_json_named_tuples_as_objects = 1; +SET mutations_sync = 2; + +CREATE TABLE t_json_mutations(id UInt32, s String, obj JSON) ENGINE = MergeTree ORDER BY id; + +INSERT INTO t_json_mutations VALUES (1, 'q', '{"k1": 1, "k2": 2, "k3": [{"k4": "aaa"}, {"k4": "bbb"}]}'); +INSERT INTO t_json_mutations VALUES (2, 'w', '{"k1": 3, "k2": 4, "k3": [{"k4": "ccc"}]}'); +INSERT INTO t_json_mutations VALUES (3, 'e', '{"k1": 5, "k2": 6}'); + +SELECT * FROM t_json_mutations ORDER BY id; +ALTER TABLE t_json_mutations DELETE WHERE id = 2; +SELECT * FROM t_json_mutations ORDER BY id; +ALTER TABLE t_json_mutations DROP COLUMN s, DROP COLUMN obj, ADD COLUMN t String DEFAULT 'foo'; +SELECT * FROM t_json_mutations ORDER BY id; + +DROP TABLE t_json_mutations; diff --git a/tests/queries/0_stateless/01825_new_type_json_nbagames.reference b/tests/queries/0_stateless/01825_new_type_json_nbagames.reference new file mode 100644 index 00000000000..9be03136b68 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_nbagames.reference @@ -0,0 +1,61 @@ +1000 +('_id.$oid','String') +('date.$date','String') +('teams','Array(JSON(max_dynamic_types=16, max_dynamic_paths=256))') +('abbreviation','String') +('city','String') +('home','Bool') +('name','String') +('players','Array(JSON(max_dynamic_types=8, max_dynamic_paths=64))') +('results.ast','Int64') +('results.blk','Int64') +('results.drb','Int64') +('results.fg','Int64') +('results.fg3','Int64') +('results.fg3_pct','String') +('results.fg3a','Int64') +('results.fg_pct','String') +('results.fga','Int64') +('results.ft','Int64') +('results.ft_pct','String') +('results.fta','Int64') +('results.mp','Int64') +('results.orb','Int64') +('results.pf','Int64') +('results.pts','Int64') +('results.stl','Int64') +('results.tov','Int64') +('results.trb','Int64') +('score','Int64') +('won','Int64') +Boston Celtics 70 +Los Angeles Lakers 64 +Milwaukee Bucks 61 +Philadelphia 76ers 57 +Atlanta Hawks 55 +('ast','Int64') +('blk','Int64') +('drb','Int64') +('fg','Int64') +('fg3','Int64') +('fg3_pct','String') +('fg3a','Int64') +('fg_pct','String') +('fga','Int64') +('ft','Int64') +('ft_pct','String') +('fta','Int64') +('mp','String') +('orb','Int64') +('pf','Int64') +('player','String') +('pts','Int64') +('stl','Int64') +('tov','Int64') +('trb','Int64') +Larry Bird 10 +Clyde Drexler 4 +Alvin Robertson 3 +Magic Johnson 3 +Charles Barkley 2 +1 diff --git a/tests/queries/0_stateless/01825_new_type_json_nbagames.sh b/tests/queries/0_stateless/01825_new_type_json_nbagames.sh new file mode 100755 index 00000000000..20eba88eda4 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_nbagames.sh @@ -0,0 +1,54 @@ +#!/usr/bin/env bash +# Tags: no-fasttest + +CUR_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) +# shellcheck source=../shell_config.sh +. "$CUR_DIR"/../shell_config.sh + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS nbagames" +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS nbagames_string" +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS nbagames_from_string" + +${CLICKHOUSE_CLIENT} -q "CREATE TABLE nbagames (data JSON) ENGINE = MergeTree ORDER BY tuple()" --allow_experimental_json_type 1 + +cat $CUR_DIR/data_json/nbagames_sample.json | ${CLICKHOUSE_CLIENT} -q "INSERT INTO nbagames FORMAT JSONAsObject" + +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM nbagames WHERE NOT ignore(*)" +${CLICKHOUSE_CLIENT} -q "SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) as path from nbagames order by path" +${CLICKHOUSE_CLIENT} -q "SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(arrayJoin(data.teams[]))) as path from nbagames order by path" + +${CLICKHOUSE_CLIENT} --allow_experimental_analyzer=1 -q \ + "SELECT teams.name.:String AS name, sum(teams.won.:Int64) AS wins FROM nbagames \ + ARRAY JOIN data.teams[] AS teams GROUP BY name \ + ORDER BY wins DESC LIMIT 5;" + +${CLICKHOUSE_CLIENT} -q "SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(arrayJoin(arrayJoin(data.teams[].players[])))) as path from nbagames order by path" + +${CLICKHOUSE_CLIENT} --allow_experimental_analyzer=1 -q \ +"SELECT player, sum(triple_double) AS triple_doubles FROM \ +( \ + SELECT \ + arrayJoin(arrayJoin(data.teams[].players[])) as players, \ + players.player.:String as player, \ + ((players.pts.:Int64 >= 10) + \ + (players.ast.:Int64 >= 10) + \ + (players.blk.:Int64 >= 10) + \ + (players.stl.:Int64 >= 10) + \ + (players.trb.:Int64 >= 10)) >= 3 AS triple_double \ + from nbagames \ +) \ +GROUP BY player ORDER BY triple_doubles DESC, player LIMIT 5" + +${CLICKHOUSE_CLIENT} -q "CREATE TABLE nbagames_string (data String) ENGINE = MergeTree ORDER BY tuple()" +${CLICKHOUSE_CLIENT} -q "CREATE TABLE nbagames_from_string (data JSON) ENGINE = MergeTree ORDER BY tuple()" --allow_experimental_json_type 1 + +cat $CUR_DIR/data_json/nbagames_sample.json | ${CLICKHOUSE_CLIENT} -q "INSERT INTO nbagames_string FORMAT JSONAsString" +${CLICKHOUSE_CLIENT} -q "INSERT INTO nbagames_from_string SELECT data FROM nbagames_string" + +${CLICKHOUSE_CLIENT} -q "SELECT \ + (SELECT groupUniqArrayMap(JSONAllPathsWithTypes(data)), sum(cityHash64(toString(data))) FROM nbagames_from_string) = \ + (SELECT groupUniqArrayMap(JSONAllPathsWithTypes(data)), sum(cityHash64(toString(data))) FROM nbagames)" + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS nbagames" +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS nbagames_string" +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS nbagames_from_string" diff --git a/tests/queries/0_stateless/01825_new_type_json_order_by.reference b/tests/queries/0_stateless/01825_new_type_json_order_by.reference new file mode 100644 index 00000000000..611d2835127 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_order_by.reference @@ -0,0 +1,6 @@ +0 +0 +{"k":"v"} + +{"k":"v"} +{"k":"v"} diff --git a/tests/queries/0_stateless/01825_new_type_json_order_by.sql b/tests/queries/0_stateless/01825_new_type_json_order_by.sql new file mode 100644 index 00000000000..6b5fb40aed4 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_order_by.sql @@ -0,0 +1,6 @@ +-- Tags: no-fasttest + +SET allow_experimental_json_type = 1; +SELECT dummy FROM system.one ORDER BY materialize('{"k":"v"}'::JSON); +SELECT dummy FROM system.one ORDER BY materialize('{"k":"v"}'::JSON), dummy; +SELECT materialize('{"k":"v"}'::JSON) SETTINGS extremes = 1; diff --git a/tests/queries/0_stateless/01825_new_type_json_parallel_insert.reference b/tests/queries/0_stateless/01825_new_type_json_parallel_insert.reference new file mode 100644 index 00000000000..7cf3855d684 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_parallel_insert.reference @@ -0,0 +1 @@ +{'k1':['Int64'],'k2':['String']} 500000 diff --git a/tests/queries/0_stateless/01825_new_type_json_parallel_insert.sql b/tests/queries/0_stateless/01825_new_type_json_parallel_insert.sql new file mode 100644 index 00000000000..a8457ff4f15 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_parallel_insert.sql @@ -0,0 +1,10 @@ +-- Tags: long +DROP TABLE IF EXISTS t_json_parallel; + +SET allow_experimental_json_type = 1, max_insert_threads = 20, max_threads = 20, min_insert_block_size_rows = 65536; +CREATE TABLE t_json_parallel (data JSON) ENGINE = MergeTree ORDER BY tuple(); + +INSERT INTO t_json_parallel SELECT materialize('{"k1":1, "k2": "some"}') FROM numbers_mt(500000); +SELECT groupUniqArrayMap(JSONAllPathsWithTypes(data)), count() FROM t_json_parallel; + +DROP TABLE t_json_parallel; diff --git a/tests/queries/0_stateless/01825_new_type_json_partitions.reference b/tests/queries/0_stateless/01825_new_type_json_partitions.reference new file mode 100644 index 00000000000..c5839472132 --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_partitions.reference @@ -0,0 +1,2 @@ +{"id":1,"obj":{"k1":"v1"}} +{"id":2,"obj":{"k2":"v2"}} diff --git a/tests/queries/0_stateless/01825_new_type_json_partitions.sql b/tests/queries/0_stateless/01825_new_type_json_partitions.sql new file mode 100644 index 00000000000..d1f37dedded --- /dev/null +++ b/tests/queries/0_stateless/01825_new_type_json_partitions.sql @@ -0,0 +1,14 @@ +-- Tags: no-fasttest + +DROP TABLE IF EXISTS t_json_partitions; + +SET allow_experimental_json_type = 1; + +CREATE TABLE t_json_partitions (id UInt32, obj JSON) +ENGINE MergeTree ORDER BY id PARTITION BY id; + +INSERT INTO t_json_partitions FORMAT JSONEachRow {"id": 1, "obj": {"k1": "v1"}} {"id": 2, "obj": {"k2": "v2"}}; + +SELECT * FROM t_json_partitions ORDER BY id FORMAT JSONEachRow; + +DROP TABLE t_json_partitions; diff --git a/tests/queries/0_stateless/01825_type_json_10.sql b/tests/queries/0_stateless/01825_type_json_10.sql index e13026770f6..3ddbf85ba63 100644 --- a/tests/queries/0_stateless/01825_type_json_10.sql +++ b/tests/queries/0_stateless/01825_type_json_10.sql @@ -4,7 +4,7 @@ SET allow_experimental_object_type = 1; SET output_format_json_named_tuples_as_objects = 1; DROP TABLE IF EXISTS t_json_10; -CREATE TABLE t_json_10 (o JSON) ENGINE = Memory; +CREATE TABLE t_json_10 (o Object('json')) ENGINE = Memory; INSERT INTO t_json_10 FORMAT JSONAsObject {"a": {"b": 1, "c": [{"d": 10, "e": [31]}, {"d": 20, "e": [63, 127]}]}} {"a": {"b": 2, "c": []}} diff --git a/tests/queries/0_stateless/01825_type_json_11.sh b/tests/queries/0_stateless/01825_type_json_11.sh index dbed15c8bb9..6109dff53a6 100755 --- a/tests/queries/0_stateless/01825_type_json_11.sh +++ b/tests/queries/0_stateless/01825_type_json_11.sh @@ -7,7 +7,7 @@ CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) $CLICKHOUSE_CLIENT -q "DROP TABLE IF EXISTS t_json_11" -$CLICKHOUSE_CLIENT -q "CREATE TABLE t_json_11 (obj JSON) ENGINE = MergeTree ORDER BY tuple()" --allow_experimental_object_type 1 +$CLICKHOUSE_CLIENT -q "CREATE TABLE t_json_11 (obj Object('json')) ENGINE = MergeTree ORDER BY tuple()" --allow_experimental_object_type 1 cat <&1 | grep -o -m1 "INCORRECT_DATA" +$CLICKHOUSE_CLIENT -q "SELECT count() FROM t_json_async_insert" +$CLICKHOUSE_CLIENT -q "SELECT count() FROM system.parts WHERE database = '$CLICKHOUSE_DATABASE' AND table = 't_json_async_insert'" + +$CLICKHOUSE_CLIENT --async_insert=1 --wait_for_async_insert=1 -q 'INSERT INTO t_json_async_insert FORMAT JSONAsObject {"aaa"}' 2>&1 | grep -o -m1 "INCORRECT_DATA" & +$CLICKHOUSE_CLIENT --async_insert=1 --wait_for_async_insert=1 -q 'INSERT INTO t_json_async_insert FORMAT JSONAsObject {"k1": "aaa"}' & + +wait + +$CLICKHOUSE_CLIENT -q "SELECT data.k1 FROM t_json_async_insert ORDER BY data.k1" +$CLICKHOUSE_CLIENT -q "DROP TABLE IF EXISTS t_json_async_insert" diff --git a/tests/queries/0_stateless/02421_new_type_json_empty_parts.reference b/tests/queries/0_stateless/02421_new_type_json_empty_parts.reference new file mode 100644 index 00000000000..172ea2d3eed --- /dev/null +++ b/tests/queries/0_stateless/02421_new_type_json_empty_parts.reference @@ -0,0 +1,16 @@ +Collapsing +0 +0 +DELETE all +2 +1 +('k1','String') +('k2','String') +0 +0 +TTL +1 +1 +('k2','String') +0 +0 diff --git a/tests/queries/0_stateless/02421_new_type_json_empty_parts.sh b/tests/queries/0_stateless/02421_new_type_json_empty_parts.sh new file mode 100755 index 00000000000..2714b9586f8 --- /dev/null +++ b/tests/queries/0_stateless/02421_new_type_json_empty_parts.sh @@ -0,0 +1,48 @@ +#!/usr/bin/env bash +# Tags: no-fasttest + +set -euo pipefail + +CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) +# shellcheck source=../shell_config.sh +. "$CURDIR"/../shell_config.sh +# shellcheck source=./parts.lib +. "$CURDIR"/parts.lib + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS t_json_empty_parts;" +${CLICKHOUSE_CLIENT} -q "SELECT 'Collapsing';" +${CLICKHOUSE_CLIENT} -q "CREATE TABLE t_json_empty_parts (id UInt64, s Int8, data JSON) ENGINE = CollapsingMergeTree(s) ORDER BY id SETTINGS old_parts_lifetime=5;" --allow_experimental_json_type 1 +${CLICKHOUSE_CLIENT} -q "INSERT INTO t_json_empty_parts VALUES (1, 1, '{\"k1\": \"aaa\"}') (1, -1, '{\"k2\": \"bbb\"}');" +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM t_json_empty_parts;" +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM system.parts WHERE table = 't_json_empty_parts' AND database = currentDatabase() AND active;" +${CLICKHOUSE_CLIENT} -q "SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM t_json_empty_parts ORDER BY path" + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS t_json_empty_parts;" +${CLICKHOUSE_CLIENT} -q "SELECT 'DELETE all';" +${CLICKHOUSE_CLIENT} -q "CREATE TABLE t_json_empty_parts (id UInt64, data JSON) ENGINE = MergeTree ORDER BY id SETTINGS old_parts_lifetime=5;" --allow_experimental_json_type 1 +${CLICKHOUSE_CLIENT} -q "INSERT INTO t_json_empty_parts VALUES (1, '{\"k1\": \"aaa\"}') (1, '{\"k2\": \"bbb\"}');" +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM t_json_empty_parts;" +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM system.parts WHERE table = 't_json_empty_parts' AND database = currentDatabase() AND active;" +${CLICKHOUSE_CLIENT} -q "SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM t_json_empty_parts ORDER BY path" +${CLICKHOUSE_CLIENT} -q "ALTER TABLE t_json_empty_parts DELETE WHERE 1 SETTINGS mutations_sync = 1;" +timeout 60 bash -c 'wait_for_delete_empty_parts t_json_empty_parts' +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM t_json_empty_parts;" +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM system.parts WHERE table = 't_json_empty_parts' AND database = currentDatabase() AND active;" +${CLICKHOUSE_CLIENT} -q "SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM t_json_empty_parts ORDER BY path" + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS t_json_empty_parts;" +${CLICKHOUSE_CLIENT} -q "SELECT 'TTL';" +${CLICKHOUSE_CLIENT} -q "CREATE TABLE t_json_empty_parts (id UInt64, d Date, data JSON) ENGINE = MergeTree ORDER BY id TTL d WHERE id % 2 = 1 SETTINGS old_parts_lifetime=5;" --allow_experimental_json_type 1 +${CLICKHOUSE_CLIENT} -q "INSERT INTO t_json_empty_parts VALUES (1, '2000-01-01', '{\"k1\": \"aaa\"}') (2, '2000-01-01', '{\"k2\": \"bbb\"}');" +${CLICKHOUSE_CLIENT} -q "OPTIMIZE TABLE t_json_empty_parts FINAL;" +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM t_json_empty_parts;" +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM system.parts WHERE table = 't_json_empty_parts' AND database = currentDatabase() AND active;" +${CLICKHOUSE_CLIENT} -q "SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM t_json_empty_parts ORDER BY path" +${CLICKHOUSE_CLIENT} -q "ALTER TABLE t_json_empty_parts MODIFY TTL d;" +${CLICKHOUSE_CLIENT} -q "OPTIMIZE TABLE t_json_empty_parts FINAL;" +timeout 60 bash -c 'wait_for_delete_empty_parts t_json_empty_parts' +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM t_json_empty_parts;" +${CLICKHOUSE_CLIENT} -q "SELECT count() FROM system.parts WHERE table = 't_json_empty_parts' AND database = currentDatabase() AND active;" +${CLICKHOUSE_CLIENT} -q "SELECT DISTINCT arrayJoin(JSONAllPathsWithTypes(data)) AS path FROM t_json_empty_parts ORDER BY path" + +${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS t_json_empty_parts;" diff --git a/tests/queries/0_stateless/02421_type_json_async_insert.sh b/tests/queries/0_stateless/02421_type_json_async_insert.sh index 8aa0d510dbb..73d66d116ce 100755 --- a/tests/queries/0_stateless/02421_type_json_async_insert.sh +++ b/tests/queries/0_stateless/02421_type_json_async_insert.sh @@ -6,7 +6,7 @@ CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) . "$CURDIR"/../shell_config.sh $CLICKHOUSE_CLIENT -q "DROP TABLE IF EXISTS t_json_async_insert" -$CLICKHOUSE_CLIENT --allow_experimental_object_type=1 -q "CREATE TABLE t_json_async_insert (data JSON) ENGINE = MergeTree ORDER BY tuple()" +$CLICKHOUSE_CLIENT --allow_experimental_object_type=1 -q "CREATE TABLE t_json_async_insert (data Object('json')) ENGINE = MergeTree ORDER BY tuple()" $CLICKHOUSE_CLIENT --async_insert=1 --wait_for_async_insert=1 -q 'INSERT INTO t_json_async_insert FORMAT JSONAsObject {"aaa"}' 2>&1 | grep -o -m1 "Cannot parse object" $CLICKHOUSE_CLIENT -q "SELECT count() FROM t_json_async_insert" diff --git a/tests/queries/0_stateless/02421_type_json_empty_parts.sh b/tests/queries/0_stateless/02421_type_json_empty_parts.sh index b6cf5995bfa..2ecec524e25 100755 --- a/tests/queries/0_stateless/02421_type_json_empty_parts.sh +++ b/tests/queries/0_stateless/02421_type_json_empty_parts.sh @@ -11,7 +11,7 @@ CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) ${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS t_json_empty_parts;" ${CLICKHOUSE_CLIENT} -q "SELECT 'Collapsing';" -${CLICKHOUSE_CLIENT} -q "CREATE TABLE t_json_empty_parts (id UInt64, s Int8, data JSON) ENGINE = CollapsingMergeTree(s) ORDER BY id SETTINGS old_parts_lifetime=5;" --allow_experimental_object_type 1 +${CLICKHOUSE_CLIENT} -q "CREATE TABLE t_json_empty_parts (id UInt64, s Int8, data Object('json')) ENGINE = CollapsingMergeTree(s) ORDER BY id SETTINGS old_parts_lifetime=5;" --allow_experimental_object_type 1 ${CLICKHOUSE_CLIENT} -q "INSERT INTO t_json_empty_parts VALUES (1, 1, '{\"k1\": \"aaa\"}') (1, -1, '{\"k2\": \"bbb\"}');" ${CLICKHOUSE_CLIENT} -q "SELECT count() FROM t_json_empty_parts;" ${CLICKHOUSE_CLIENT} -q "SELECT count() FROM system.parts WHERE table = 't_json_empty_parts' AND database = currentDatabase() AND active;" @@ -19,7 +19,7 @@ ${CLICKHOUSE_CLIENT} -q "DESC TABLE t_json_empty_parts SETTINGS describe_extend_ ${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS t_json_empty_parts;" ${CLICKHOUSE_CLIENT} -q "SELECT 'DELETE all';" -${CLICKHOUSE_CLIENT} -q "CREATE TABLE t_json_empty_parts (id UInt64, data JSON) ENGINE = MergeTree ORDER BY id SETTINGS old_parts_lifetime=5;" --allow_experimental_object_type 1 +${CLICKHOUSE_CLIENT} -q "CREATE TABLE t_json_empty_parts (id UInt64, data Object('json')) ENGINE = MergeTree ORDER BY id SETTINGS old_parts_lifetime=5;" --allow_experimental_object_type 1 ${CLICKHOUSE_CLIENT} -q "INSERT INTO t_json_empty_parts VALUES (1, '{\"k1\": \"aaa\"}') (1, '{\"k2\": \"bbb\"}');" ${CLICKHOUSE_CLIENT} -q "SELECT count() FROM t_json_empty_parts;" ${CLICKHOUSE_CLIENT} -q "SELECT count() FROM system.parts WHERE table = 't_json_empty_parts' AND database = currentDatabase() AND active;" @@ -32,7 +32,7 @@ ${CLICKHOUSE_CLIENT} -q "DESC TABLE t_json_empty_parts SETTINGS describe_extend_ ${CLICKHOUSE_CLIENT} -q "DROP TABLE IF EXISTS t_json_empty_parts;" ${CLICKHOUSE_CLIENT} -q "SELECT 'TTL';" -${CLICKHOUSE_CLIENT} -q "CREATE TABLE t_json_empty_parts (id UInt64, d Date, data JSON) ENGINE = MergeTree ORDER BY id TTL d WHERE id % 2 = 1 SETTINGS old_parts_lifetime=5;" --allow_experimental_object_type 1 +${CLICKHOUSE_CLIENT} -q "CREATE TABLE t_json_empty_parts (id UInt64, d Date, data Object('json')) ENGINE = MergeTree ORDER BY id TTL d WHERE id % 2 = 1 SETTINGS old_parts_lifetime=5;" --allow_experimental_object_type 1 ${CLICKHOUSE_CLIENT} -q "INSERT INTO t_json_empty_parts VALUES (1, '2000-01-01', '{\"k1\": \"aaa\"}') (2, '2000-01-01', '{\"k2\": \"bbb\"}');" ${CLICKHOUSE_CLIENT} -q "OPTIMIZE TABLE t_json_empty_parts FINAL;" ${CLICKHOUSE_CLIENT} -q "SELECT count() FROM t_json_empty_parts;" diff --git a/tests/queries/0_stateless/02482_json_nested_arrays_with_same_keys.sh b/tests/queries/0_stateless/02482_json_nested_arrays_with_same_keys.sh index 0d0caa78ea3..e0648f4df6e 100755 --- a/tests/queries/0_stateless/02482_json_nested_arrays_with_same_keys.sh +++ b/tests/queries/0_stateless/02482_json_nested_arrays_with_same_keys.sh @@ -21,7 +21,7 @@ echo ' } }' > 02482_object_data.jsonl -$CLICKHOUSE_LOCAL --allow_experimental_object_type=1 -q "select * from file(02482_object_data.jsonl, auto, 'obj JSON')" +$CLICKHOUSE_LOCAL --allow_experimental_object_type=1 -q "select * from file(02482_object_data.jsonl, auto, 'obj Object(''json'')')" rm 02482_object_data.jsonl diff --git a/tests/queries/0_stateless/02482_new_json_nested_arrays_with_same_keys.reference b/tests/queries/0_stateless/02482_new_json_nested_arrays_with_same_keys.reference new file mode 100644 index 00000000000..3eb1f72bfd6 --- /dev/null +++ b/tests/queries/0_stateless/02482_new_json_nested_arrays_with_same_keys.reference @@ -0,0 +1 @@ +{"list":[{"nested":{"x":[{"r":"1"},{"r":"2"}]},"x":[{"r":"1"}]}]} diff --git a/tests/queries/0_stateless/02482_new_json_nested_arrays_with_same_keys.sh b/tests/queries/0_stateless/02482_new_json_nested_arrays_with_same_keys.sh new file mode 100755 index 00000000000..ae98946ad73 --- /dev/null +++ b/tests/queries/0_stateless/02482_new_json_nested_arrays_with_same_keys.sh @@ -0,0 +1,27 @@ +#!/usr/bin/env bash +# Tags: no-fasttest, no-parallel + +CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) +# shellcheck source=../shell_config.sh +. "$CURDIR"/../shell_config.sh + +echo ' +{ + "obj" : + { + "list" : + [ + { + "nested" : { + "x" : [{"r" : 1}, {"r" : 2}] + }, + "x" : [{"r" : 1}] + } + ] + } +}' > 02482_object_data.jsonl + +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select * from file(02482_object_data.jsonl, auto, 'obj JSON')" + +rm 02482_object_data.jsonl + diff --git a/tests/queries/0_stateless/02513_validate_data_types.sql b/tests/queries/0_stateless/02513_validate_data_types.sql index 5eb91ac7879..4996f63c5bd 100644 --- a/tests/queries/0_stateless/02513_validate_data_types.sql +++ b/tests/queries/0_stateless/02513_validate_data_types.sql @@ -1,9 +1,9 @@ -- Tags: no-fasttest set allow_experimental_object_type=0; -select CAST('{"x" : 1}', 'JSON'); -- {serverError ILLEGAL_COLUMN} +select CAST('{"x" : 1}', 'Object(''json'')'); -- {serverError ILLEGAL_COLUMN} desc file(nonexist.json, JSONAsObject); -- {serverError ILLEGAL_COLUMN} -desc file(nonexist.json, JSONEachRow, 'x JSON'); -- {serverError ILLEGAL_COLUMN} +desc file(nonexist.json, JSONEachRow, 'x Object(''json'')'); -- {serverError ILLEGAL_COLUMN} set allow_suspicious_low_cardinality_types=0; select CAST(1000000, 'LowCardinality(UInt64)'); -- {serverError SUSPICIOUS_TYPE_FOR_LOW_CARDINALITY} diff --git a/tests/queries/0_stateless/02553_new_type_json_attach_partition.reference b/tests/queries/0_stateless/02553_new_type_json_attach_partition.reference new file mode 100644 index 00000000000..1556b015503 --- /dev/null +++ b/tests/queries/0_stateless/02553_new_type_json_attach_partition.reference @@ -0,0 +1,2 @@ +{"b":"1","c":{"k1":"1"}} +{"b":"1","c":{"k1":["1","2"]}} diff --git a/tests/queries/0_stateless/02553_new_type_json_attach_partition.sql b/tests/queries/0_stateless/02553_new_type_json_attach_partition.sql new file mode 100644 index 00000000000..c7d4c0b5d55 --- /dev/null +++ b/tests/queries/0_stateless/02553_new_type_json_attach_partition.sql @@ -0,0 +1,15 @@ +SET allow_experimental_json_type = 1; + +DROP TABLE IF EXISTS t_json_attach_partition; + +CREATE TABLE t_json_attach_partition(b UInt64, c JSON) ENGINE = MergeTree ORDER BY tuple(); + +INSERT INTO t_json_attach_partition FORMAT JSONEachRow {"b": 1, "c" : {"k1": 1}}; + +ALTER TABLE t_json_attach_partition DETACH PARTITION tuple(); +INSERT INTO t_json_attach_partition FORMAT JSONEachRow {"b": 1, "c" : {"k1": [1, 2]}}; + +ALTER TABLE t_json_attach_partition ATTACH PARTITION tuple(); +SELECT * FROM t_json_attach_partition ORDER BY toString(c) FORMAT JSONEachRow; + +DROP TABLE t_json_attach_partition; diff --git a/tests/queries/0_stateless/02553_type_json_attach_partition.sql b/tests/queries/0_stateless/02553_type_json_attach_partition.sql index e77f5885ec3..428189f3a84 100644 --- a/tests/queries/0_stateless/02553_type_json_attach_partition.sql +++ b/tests/queries/0_stateless/02553_type_json_attach_partition.sql @@ -2,7 +2,7 @@ SET allow_experimental_object_type = 1; DROP TABLE IF EXISTS t_json_attach_partition; -CREATE TABLE t_json_attach_partition(b UInt64, c JSON) ENGINE = MergeTree ORDER BY tuple(); +CREATE TABLE t_json_attach_partition(b UInt64, c Object('json')) ENGINE = MergeTree ORDER BY tuple(); INSERT INTO t_json_attach_partition FORMAT JSONEachRow {"b": 1, "c" : {"k1": 1}}; diff --git a/tests/queries/0_stateless/02553_type_object_analyzer.sql b/tests/queries/0_stateless/02553_type_object_analyzer.sql index eb4e49757cf..e5dd6eaebc0 100644 --- a/tests/queries/0_stateless/02553_type_object_analyzer.sql +++ b/tests/queries/0_stateless/02553_type_object_analyzer.sql @@ -3,7 +3,7 @@ SET allow_experimental_object_type = 1; SET enable_analyzer = 1; DROP TABLE IF EXISTS t_json_analyzer; -CREATE TABLE t_json_analyzer (a JSON) ENGINE = Memory; +CREATE TABLE t_json_analyzer (a Object('json')) ENGINE = Memory; INSERT INTO t_json_analyzer VALUES ('{"id": 2, "obj": {"k2": {"k3": "str", "k4": [{"k6": 55}]}, "some": 42}, "s": "bar"}'); SELECT any(a) AS data FROM t_json_analyzer FORMAT JSONEachRow; diff --git a/tests/queries/0_stateless/02717_pretty_json.sql b/tests/queries/0_stateless/02717_pretty_json.sql index 8a49eb50adf..1a5c090bcb2 100644 --- a/tests/queries/0_stateless/02717_pretty_json.sql +++ b/tests/queries/0_stateless/02717_pretty_json.sql @@ -1,3 +1,3 @@ set allow_experimental_object_type=1; -select 42 as num, [42, 42] as arr, [[[42, 42], [42, 42]], [[42, 42]]] as nested_arr, tuple(42, 42)::Tuple(a UInt32, b UInt32) as tuple, tuple(tuple(tuple(42, 42), 42), 42)::Tuple(a Tuple(b Tuple(c UInt32, d UInt32), e UInt32), f UInt32) as nested_tuple, map(42, 42, 24, 24) as map, map(42, map(42, map(42, 42))) as nested_map, [tuple(map(42, 42), [42, 42]), tuple(map(42, 42), [42, 42])]::Array(Tuple(Map(UInt32, UInt32), Array(UInt32))) as nested_types, '{"a" : {"b" : 1, "c" : 2}}'::JSON as json_object format PrettyNDJSON; +select 42 as num, [42, 42] as arr, [[[42, 42], [42, 42]], [[42, 42]]] as nested_arr, tuple(42, 42)::Tuple(a UInt32, b UInt32) as tuple, tuple(tuple(tuple(42, 42), 42), 42)::Tuple(a Tuple(b Tuple(c UInt32, d UInt32), e UInt32), f UInt32) as nested_tuple, map(42, 42, 24, 24) as map, map(42, map(42, map(42, 42))) as nested_map, [tuple(map(42, 42), [42, 42]), tuple(map(42, 42), [42, 42])]::Array(Tuple(Map(UInt32, UInt32), Array(UInt32))) as nested_types, '{"a" : {"b" : 1, "c" : 2}}'::Object('json') as json_object format PrettyNDJSON; diff --git a/tests/queries/0_stateless/02775_show_columns_called_from_clickhouse.reference b/tests/queries/0_stateless/02775_show_columns_called_from_clickhouse.reference index de0f151db7d..cb905d63ca5 100644 --- a/tests/queries/0_stateless/02775_show_columns_called_from_clickhouse.reference +++ b/tests/queries/0_stateless/02775_show_columns_called_from_clickhouse.reference @@ -44,7 +44,7 @@ nested.col1 Array(String) NO \N nested.col2 Array(UInt32) NO \N nfs Nullable(FixedString(3)) YES \N ns Nullable(String) YES \N -o Object(\'json\') NO \N +o JSON NO \N p Point NO \N pg Polygon NO \N r Ring NO \N diff --git a/tests/queries/0_stateless/02775_show_columns_called_from_clickhouse.sql b/tests/queries/0_stateless/02775_show_columns_called_from_clickhouse.sql index 3bbcbb1a535..dadfa59bf87 100644 --- a/tests/queries/0_stateless/02775_show_columns_called_from_clickhouse.sql +++ b/tests/queries/0_stateless/02775_show_columns_called_from_clickhouse.sql @@ -11,7 +11,7 @@ DROP TABLE IF EXISTS tab; SET allow_suspicious_low_cardinality_types=1; -SET allow_experimental_object_type=1; +SET allow_experimental_json_type=1; CREATE TABLE tab ( diff --git a/tests/queries/0_stateless/02775_show_columns_called_from_mysql.expect b/tests/queries/0_stateless/02775_show_columns_called_from_mysql.expect index 4798a6958c6..2079da9d34a 100755 --- a/tests/queries/0_stateless/02775_show_columns_called_from_mysql.expect +++ b/tests/queries/0_stateless/02775_show_columns_called_from_mysql.expect @@ -33,7 +33,7 @@ send -- "DROP TABLE IF EXISTS tab;\r" expect "Query OK, 0 rows affected" send -- "SET allow_suspicious_low_cardinality_types=1;\r" -send -- "SET allow_experimental_object_type=1;\r" +send -- "SET allow_experimental_json_type=1;\r" send -- " CREATE TABLE tab diff --git a/tests/queries/0_stateless/02870_per_column_settings.sql b/tests/queries/0_stateless/02870_per_column_settings.sql index d242ebe6c61..c3050222bc8 100644 --- a/tests/queries/0_stateless/02870_per_column_settings.sql +++ b/tests/queries/0_stateless/02870_per_column_settings.sql @@ -49,7 +49,7 @@ CREATE TABLE tab ( id UInt64, tup Tuple(UInt64, UInt64) SETTINGS (min_compress_block_size = 81920, max_compress_block_size = 163840), - json JSON SETTINGS (min_compress_block_size = 81920, max_compress_block_size = 163840), + json Object('json') SETTINGS (min_compress_block_size = 81920, max_compress_block_size = 163840), ) ENGINE = MergeTree ORDER BY id diff --git a/tests/queries/0_stateless/02910_object-json-crash-add-column.sql b/tests/queries/0_stateless/02910_object-json-crash-add-column.sql index bda5e958453..97672bf89c6 100644 --- a/tests/queries/0_stateless/02910_object-json-crash-add-column.sql +++ b/tests/queries/0_stateless/02910_object-json-crash-add-column.sql @@ -11,10 +11,10 @@ ORDER BY i; INSERT INTO test02910 (i, jString) SELECT 1, '{"a":"123"}'; -ALTER TABLE test02910 ADD COLUMN j2 Tuple(JSON) DEFAULT jString; -- { serverError SUPPORT_IS_DISABLED } -ALTER TABLE test02910 ADD COLUMN j2 Tuple(Float64, JSON); -- { serverError SUPPORT_IS_DISABLED } -ALTER TABLE test02910 ADD COLUMN j2 Tuple(Array(Tuple(JSON))) DEFAULT jString; -- { serverError SUPPORT_IS_DISABLED } -ALTER TABLE test02910 ADD COLUMN j2 JSON default jString; -- { serverError SUPPORT_IS_DISABLED } +ALTER TABLE test02910 ADD COLUMN j2 Tuple(Object('json')) DEFAULT jString; -- { serverError SUPPORT_IS_DISABLED } +ALTER TABLE test02910 ADD COLUMN j2 Tuple(Float64, Object('json')); -- { serverError SUPPORT_IS_DISABLED } +ALTER TABLE test02910 ADD COLUMN j2 Tuple(Array(Tuple(Object('json')))) DEFAULT jString; -- { serverError SUPPORT_IS_DISABLED } +ALTER TABLE test02910 ADD COLUMN j2 Object('json') default jString; -- { serverError SUPPORT_IS_DISABLED } -- If we would allow adding a column with dynamic subcolumns the subsequent select would crash the server. -- SELECT * FROM test02910; @@ -39,10 +39,10 @@ INSERT INTO test02910_second SELECT number, number, '2023-10-28 11:11:11.11111', INSERT INTO test02910_second SELECT number, number, '2023-10-28 11:11:11.11111', ['c', 'd'] FROM numbers(10); INSERT INTO test02910_second SELECT number, number, '2023-10-28 11:11:11.11111', [] FROM numbers(10); -ALTER TABLE test02910_second ADD COLUMN `tags_json` Tuple(JSON) DEFAULT jString; -- { serverError SUPPORT_IS_DISABLED } -ALTER TABLE test02910_second ADD COLUMN `tags_json` Tuple(Float64, JSON); -- { serverError SUPPORT_IS_DISABLED } -ALTER TABLE test02910_second ADD COLUMN `tags_json` Tuple(Array(Tuple(JSON))) DEFAULT jString; -- { serverError SUPPORT_IS_DISABLED } -ALTER TABLE test02910_second ADD COLUMN `tags_json` JSON; -- { serverError SUPPORT_IS_DISABLED } +ALTER TABLE test02910_second ADD COLUMN `tags_json` Tuple(Object('json')) DEFAULT jString; -- { serverError SUPPORT_IS_DISABLED } +ALTER TABLE test02910_second ADD COLUMN `tags_json` Tuple(Float64, Object('json')); -- { serverError SUPPORT_IS_DISABLED } +ALTER TABLE test02910_second ADD COLUMN `tags_json` Tuple(Array(Tuple(Object('json')))) DEFAULT jString; -- { serverError SUPPORT_IS_DISABLED } +ALTER TABLE test02910_second ADD COLUMN `tags_json` Object('json'); -- { serverError SUPPORT_IS_DISABLED } -- If we would allow adding a column with dynamic subcolumns the subsequent select would crash the server. -- SELECT * FROM test02910; diff --git a/tests/queries/0_stateless/02935_format_with_arbitrary_types.reference b/tests/queries/0_stateless/02935_format_with_arbitrary_types.reference index 3455adc8723..f100e8c48d4 100644 --- a/tests/queries/0_stateless/02935_format_with_arbitrary_types.reference +++ b/tests/queries/0_stateless/02935_format_with_arbitrary_types.reference @@ -34,6 +34,7 @@ The answer to all questions is 2023-11-14 05:50:12.123. The answer to all questions is hallo. The answer to all questions is [\'foo\',\'bar\']. The answer to all questions is {"foo":"bar"}. +The answer to all questions is {"foo":"bar"}. The answer to all questions is (42,\'foo\'). The answer to all questions is {42:\'foo\'}. The answer to all questions is 122.233.64.201. diff --git a/tests/queries/0_stateless/02935_format_with_arbitrary_types.sql b/tests/queries/0_stateless/02935_format_with_arbitrary_types.sql index ad1de2bec6d..dcc3964e4b0 100644 --- a/tests/queries/0_stateless/02935_format_with_arbitrary_types.sql +++ b/tests/queries/0_stateless/02935_format_with_arbitrary_types.sql @@ -3,6 +3,7 @@ -- no-fasttest: json type needs rapidjson library, geo types need s2 geometry SET allow_experimental_object_type = 1; +SET allow_experimental_json_type = 1; SET allow_suspicious_low_cardinality_types=1; SELECT '-- Const string + non-const arbitrary type'; @@ -40,6 +41,7 @@ SELECT format('The {0} to all questions is {1}.', 'answer', materialize('2023-11 SELECT format('The {0} to all questions is {1}.', 'answer', materialize('2023-11-14 05:50:12.123' :: DateTime64(3, 'Europe/Amsterdam'))); SELECT format('The {0} to all questions is {1}.', 'answer', materialize('hallo' :: Enum('hallo' = 1))); SELECT format('The {0} to all questions is {1}.', 'answer', materialize(['foo', 'bar'] :: Array(String))); +SELECT format('The {0} to all questions is {1}.', 'answer', materialize('{"foo": "bar"}' :: Object('json'))); SELECT format('The {0} to all questions is {1}.', 'answer', materialize('{"foo": "bar"}' :: JSON)); SELECT format('The {0} to all questions is {1}.', 'answer', materialize((42, 'foo') :: Tuple(Int32, String))); SELECT format('The {0} to all questions is {1}.', 'answer', materialize(map(42, 'foo') :: Map(Int32, String))); diff --git a/tests/queries/0_stateless/02969_mysql_cast_type_aliases.reference b/tests/queries/0_stateless/02969_mysql_cast_type_aliases.reference index 5555c918500..3e63763d544 100644 --- a/tests/queries/0_stateless/02969_mysql_cast_type_aliases.reference +++ b/tests/queries/0_stateless/02969_mysql_cast_type_aliases.reference @@ -7,7 +7,7 @@ Decimal 45 Decimal(10, 0) Decimal(M) 46 Decimal(4, 0) Decimal(M, D) 47.21 Decimal(4, 2) Double 48.11 Float64 -JSON {"foo":"bar"} Object(\'json\') +JSON {"foo":"bar"} JSON Real 49.22 Float32 Signed 50 Int64 Unsigned 52 UInt64 @@ -21,7 +21,7 @@ Decimal 45 Decimal(10, 0) Decimal(M) 46 Decimal(4, 0) Decimal(M, D) 47.21 Decimal(4, 2) Double 48.11 Float64 -JSON {"foo":"bar"} Object(\'json\') +JSON {"foo":"bar"} JSON Real 49.22 Float32 Signed 50 Int64 Unsigned 52 UInt64 diff --git a/tests/queries/0_stateless/02969_mysql_cast_type_aliases.sql b/tests/queries/0_stateless/02969_mysql_cast_type_aliases.sql index 7b5735cdebc..8cccde4b0ab 100644 --- a/tests/queries/0_stateless/02969_mysql_cast_type_aliases.sql +++ b/tests/queries/0_stateless/02969_mysql_cast_type_aliases.sql @@ -1,7 +1,7 @@ -- See https://dev.mysql.com/doc/refman/8.0/en/cast-functions.html#function_cast -- Tests are in order of the type appearance in the docs -SET allow_experimental_object_type = 1; +SET allow_experimental_json_type = 1; SELECT '-- Uppercase tests'; -- Not supported as it is translated to FixedString without arguments diff --git a/tests/queries/0_stateless/03157_dynamic_type_json.reference b/tests/queries/0_stateless/03157_dynamic_type_json.reference index 38bca12bb95..14e851bdbc7 100644 --- a/tests/queries/0_stateless/03157_dynamic_type_json.reference +++ b/tests/queries/0_stateless/03157_dynamic_type_json.reference @@ -1,5 +1,5 @@ -1 (((((((((('deep_value')))))))))) -2 (((((((((('deep_array_value')))))))))) +1 {"level1":{"level2":{"level3":{"level4":{"level5":{"level6":{"level7":{"level8":{"level9":{"level10":"deep_value"}}}}}}}}}} +2 {"level1":{"level2":{"level3":{"level4":{"level5":{"level6":{"level7":{"level8":{"level9":{"level10":"deep_array_value"}}}}}}}}}} -(((((((((('deep_value')))))))))) Tuple(level1 Tuple(level2 Tuple(level3 Tuple(level4 Tuple(level5 Tuple(level6 Tuple(level7 Tuple(level8 Tuple(level9 Tuple(level10 String)))))))))) -(((((((((('deep_array_value')))))))))) Tuple(level1 Tuple(level2 Tuple(level3 Tuple(level4 Tuple(level5 Tuple(level6 Tuple(level7 Tuple(level8 Tuple(level9 Tuple(level10 String)))))))))) +{"level1":{"level2":{"level3":{"level4":{"level5":{"level6":{"level7":{"level8":{"level9":{"level10":"deep_value"}}}}}}}}}} JSON +{"level1":{"level2":{"level3":{"level4":{"level5":{"level6":{"level7":{"level8":{"level9":{"level10":"deep_array_value"}}}}}}}}}} JSON diff --git a/tests/queries/0_stateless/03157_dynamic_type_json.sql b/tests/queries/0_stateless/03157_dynamic_type_json.sql index cb1a5987104..91af7942718 100644 --- a/tests/queries/0_stateless/03157_dynamic_type_json.sql +++ b/tests/queries/0_stateless/03157_dynamic_type_json.sql @@ -1,7 +1,8 @@ SET allow_experimental_dynamic_type=1; -SET allow_experimental_object_type=1; +SET allow_experimental_json_type=1; SET allow_experimental_variant_type=1; +DROP TABLE IF EXISTS test_deep_nested_json; CREATE TABLE test_deep_nested_json (i UInt16, d JSON) ENGINE = Memory; INSERT INTO test_deep_nested_json VALUES (1, '{"level1": {"level2": {"level3": {"level4": {"level5": {"level6": {"level7": {"level8": {"level9": {"level10": "deep_value"}}}}}}}}}}'); @@ -11,3 +12,4 @@ SELECT * FROM test_deep_nested_json ORDER BY i; SELECT ''; SELECT d::Dynamic d1, dynamicType(d1) FROM test_deep_nested_json ORDER BY i; +DROP TABLE test_deep_nested_json; diff --git a/tests/queries/0_stateless/03158_dynamic_type_from_variant.sql b/tests/queries/0_stateless/03158_dynamic_type_from_variant.sql index 20a9e17a148..a18f985f217 100644 --- a/tests/queries/0_stateless/03158_dynamic_type_from_variant.sql +++ b/tests/queries/0_stateless/03158_dynamic_type_from_variant.sql @@ -1,5 +1,4 @@ SET allow_experimental_dynamic_type=1; -SET allow_experimental_object_type=1; SET allow_experimental_variant_type=1; CREATE TABLE test_variable (v Variant(String, UInt32, IPv6, Bool, DateTime64)) ENGINE = Memory; diff --git a/tests/queries/0_stateless/03159_dynamic_type_all_types.sql b/tests/queries/0_stateless/03159_dynamic_type_all_types.sql index fffea1bd0f5..28b679e2214 100644 --- a/tests/queries/0_stateless/03159_dynamic_type_all_types.sql +++ b/tests/queries/0_stateless/03159_dynamic_type_all_types.sql @@ -1,7 +1,6 @@ -- Tags: no-random-settings SET allow_experimental_dynamic_type=1; -SET allow_experimental_object_type=1; SET allow_experimental_variant_type=1; SET allow_suspicious_low_cardinality_types=1; diff --git a/tests/queries/0_stateless/03205_json_cast_from_string.reference b/tests/queries/0_stateless/03205_json_cast_from_string.reference new file mode 100644 index 00000000000..b9ac477eef4 --- /dev/null +++ b/tests/queries/0_stateless/03205_json_cast_from_string.reference @@ -0,0 +1,18 @@ +{} +{"a":"42","b":"Hello"} +{"a":{"b":{"c":{"d":"42"},"e":"43"},"f":"44"},"g":"44"} +{"a":{"b":{"c":{"d":true},"e":"43"},"f":"44"},"g":"44"} +{"a":{"b":{"e":"43"},"f":"44"},"g":"44"} +{"a":{"b":{"e":"43"},"f":"44"},"g":"44"} +{"a":{"f":"44"},"g":"44"} +{"g":"44"} +{"a":{"f":"44"},"g":"44"} +{"g":"44"} +{} +{"a":{"b":{"c":{"d":"42"},"e":"43"},"f":"44"},"g":"44"} {'a.b.c.d':'Int64','a.b.e':'Int64','a.f':'Int64','g':'Int64'} {'a.b.c.d':'Int64','a.b.e':'Int64','a.f':'Int64','g':'Int64'} {} +{"a":{"b":{"c":{"d":"42"},"e":"43"},"f":"44"},"g":"44"} {'a.b.c.d':'Int64','a.b.e':'Int64','a.f':'Int64','g':'Int64'} {'a.b.c.d':'Int64','a.b.e':'Int64'} {'a.f':'Int64','g':'Int64'} +{"a":{"b":{"c":{"d":"42"},"e":"43"},"f":"44"},"g":"44"} {'a.b.c.d':'Int64','a.b.e':'Int64','a.f':'Int64','g':'Int64'} {'a.b.c.d':'Int64'} {'a.b.e':'Int64','a.f':'Int64','g':'Int64'} +{"a":{"b":{"c":{"d":"42"},"e":"43"},"f":"44"},"g":"44"} {'a.b.c.d':'Int64','a.b.e':'Int64','a.f':'Int64','g':'Int64'} {} {'a.b.c.d':'Int64','a.b.e':'Int64','a.f':'Int64','g':'Int64'} +{"a":{"b":{"c":{"d":"42"},"e":"43"},"f":"44"},"g":"44"} {'a.b.c.d':'Int64','a.b.e':'Int64','a.f':'Int64','g':'Int64'} {'a.b.c.d':'Int64','a.b.e':'Int64'} {'a.f':'Int64','g':'Int64'} +{"a":{"b":{"c":{"d":"42"},"e":"43"},"f":"44"},"g":"44"} {'a.b.c.d':'Int64','a.b.e':'Int64','a.f':'Int64','g':'Int64'} {'a.b.c.d':'Int64'} {'a.b.e':'Int64','a.f':'Int64','g':'Int64'} +{"a":{"b":{"c":{"d":"42"},"e":"43"},"f":"44"},"g":"44"} {'a.b.c.d':'Int64','a.b.e':'Int64','a.f':'Int64','g':'Int64'} {} {'a.b.c.d':'Int64','a.b.e':'Int64','a.f':'Int64','g':'Int64'} diff --git a/tests/queries/0_stateless/03205_json_cast_from_string.sql b/tests/queries/0_stateless/03205_json_cast_from_string.sql new file mode 100644 index 00000000000..5ceee134c51 --- /dev/null +++ b/tests/queries/0_stateless/03205_json_cast_from_string.sql @@ -0,0 +1,22 @@ +-- Tags: no-fasttest +set allow_experimental_json_type=1; + +select materialize('{}')::JSON; +select materialize('{"a" : 42, "b" : "Hello"}')::JSON; +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON; +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(a.b.c.d Bool); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(SKIP a.b.c.d); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(SKIP a.b.c); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(SKIP a.b); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(SKIP a); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(SKIP REGEXP '.*a.*b'); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(SKIP REGEXP '.*a.*'); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(SKIP REGEXP '.*'); + +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON as json, JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(max_dynamic_paths = 2) as json, JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(max_dynamic_paths = 1) as json, JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(max_dynamic_paths = 0) as json, JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(max_dynamic_paths = 2, max_dynamic_types=0) as json, JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(max_dynamic_paths = 1, max_dynamic_types=0) as json, JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json); +select materialize('{"a" : {"b" : {"c" : {"d" : 42}, "e" : 43}, "f" : 44}, "g" : 44}')::JSON(max_dynamic_paths = 0, max_dynamic_types=0) as json, JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json); diff --git a/tests/queries/0_stateless/03205_json_syntax.reference b/tests/queries/0_stateless/03205_json_syntax.reference new file mode 100644 index 00000000000..e69de29bb2d diff --git a/tests/queries/0_stateless/03205_json_syntax.sql b/tests/queries/0_stateless/03205_json_syntax.sql new file mode 100644 index 00000000000..e3c88c81d0d --- /dev/null +++ b/tests/queries/0_stateless/03205_json_syntax.sql @@ -0,0 +1,40 @@ +-- Tags: no-fasttest + +set allow_experimental_json_type=1; +drop table if exists test; +create table test (json JSON) engine=Memory; +drop table test; +create table test (json JSON(max_dynamic_paths=10)) engine=Memory; +drop table test; +create table test (json JSON(max_dynamic_types=10)) engine=Memory; +drop table test; +create table test (json JSON(a UInt32)) engine=Memory; +drop table test; +create table test (json JSON(aaaaa UInt32)) engine=Memory; +drop table test; +create table test (json JSON(`a b c d` UInt32)) engine=Memory; +drop table test; +create table test (json JSON(a.b.c UInt32)) engine=Memory; +drop table test; +create table test (json JSON(aaaa.b.cccc UInt32)) engine=Memory; +drop table test; +create table test (json JSON(`some path`.`path some` UInt32)) engine=Memory; +drop table test; +create table test (json JSON(a.b.c Tuple(d UInt32, e UInt32))) engine=Memory; +drop table test; +create table test (json JSON(SKIP a)) engine=Memory; +drop table test; +create table test (json JSON(SKIP aaaa)) engine=Memory; +drop table test; +create table test (json JSON(SKIP `a b c d`)) engine=Memory; +drop table test; +create table test (json JSON(SKIP a.b.c)) engine=Memory; +drop table test; +create table test (json JSON(SKIP aaaa.b.cccc)) engine=Memory; +drop table test; +create table test (json JSON(SKIP `some path`.`path some`)) engine=Memory; +drop table test; +create table test (json JSON(SKIP REGEXP '.*a.*')) engine=Memory; +drop table test; +create table test (json JSON(max_dynamic_paths=10, max_dynamic_types=10, a.b.c UInt32, b.c.d String, SKIP g.d.a, SKIP o.g.a, SKIP REGEXP '.*u.*', SKIP REGEXP 'abc')) engine=Memory; +drop table test; diff --git a/tests/queries/0_stateless/03206_json_parsing_and_formatting.reference b/tests/queries/0_stateless/03206_json_parsing_and_formatting.reference new file mode 100644 index 00000000000..75e55e0376d --- /dev/null +++ b/tests/queries/0_stateless/03206_json_parsing_and_formatting.reference @@ -0,0 +1,195 @@ +JSON with no arguments +{"a":{"b":{"c":"1","d":["0","1"]}},"b":"2020-01-01","c":"42","d":{"e":{"f":["s1","s2"]}}} +{"a":{"b":{"c":"2","d":["2","3"]}},"b":["1","2","3"],"d":{"e":{"g":"43"}}} +{"a":{"b":{"c":"3","d":["4","5"]}},"e":"Hello, World!"} +{"a":{"b":{"c":"4","d":["6","7"]}},"c":"43"} +{"a":{"b":{"c":"5","d":["8","9"]}},"b":["b1","b2"],"d":{"e":{"f":["s3","s4"],"g":"44","h":"2020-02-02 10:00:00"}}} +{'a.b.c':'Int64','a.b.d':'Array(Nullable(Int64))','b':'Date','c':'Int64','d.e.f':'Array(Nullable(String))'} {'a.b.c':'Int64','a.b.d':'Array(Nullable(Int64))','b':'Date','c':'Int64','d.e.f':'Array(Nullable(String))'} {} +{'a.b.c':'Int64','a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(Int64))','d.e.g':'Int64'} {'a.b.c':'Int64','a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(Int64))','d.e.g':'Int64'} {} +{'a.b.c':'Int64','a.b.d':'Array(Nullable(Int64))','e':'String'} {'a.b.c':'Int64','a.b.d':'Array(Nullable(Int64))','e':'String'} {} +{'a.b.c':'Int64','a.b.d':'Array(Nullable(Int64))','c':'Int64'} {'a.b.c':'Int64','a.b.d':'Array(Nullable(Int64))','c':'Int64'} {} +{'a.b.c':'Int64','a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(String))','d.e.f':'Array(Nullable(String))','d.e.g':'Int64','d.e.h':'DateTime'} {'a.b.c':'Int64','a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(String))','d.e.f':'Array(Nullable(String))','d.e.g':'Int64','d.e.h':'DateTime'} {} +1 2020-01-01 {"e":{"f":["s1","s2"]}} +2 [1,2,3] {"e":{"g":"43"}} +3 \N {} +4 \N {} +5 ['b1','b2'] {"e":{"f":["s3","s4"],"g":"44","h":"2020-02-02 10:00:00"}} +JSON(a.b Tuple(c UInt32, d Array(Bool)), SKIP d.e, SKIP c, SKIP REGEXP '.*h.*') +{"a":{"b":{"c":1,"d":[false,true]}},"b":"2020-01-01"} +{"a":{"b":{"c":2,"d":[true,true]}},"b":["1","2","3"]} +{"a":{"b":{"c":3,"d":[true,true]}},"e":"Hello, World!"} +{"a":{"b":{"c":4,"d":[true,true]}}} +{"a":{"b":{"c":5,"d":[true,true]}},"b":["b1","b2"]} +{'a.b':'Tuple(c UInt32, d Array(Bool))','b':'Date'} {'b':'Date'} {} +{'a.b':'Tuple(c UInt32, d Array(Bool))','b':'Array(Nullable(Int64))'} {'b':'Array(Nullable(Int64))'} {} +{'a.b':'Tuple(c UInt32, d Array(Bool))','e':'String'} {'e':'String'} {} +{'a.b':'Tuple(c UInt32, d Array(Bool))'} {} {} +{'a.b':'Tuple(c UInt32, d Array(Bool))','b':'Array(Nullable(String))'} {'b':'Array(Nullable(String))'} {} +JSON(a.b.c UInt32, max_dynamic_paths=2) +{"a":{"b":{"c":1,"d":["0","1"]}},"b":"2020-01-01","c":"42","d":{"e":{"f":["s1","s2"]}}} +{"a":{"b":{"c":2,"d":["2","3"]}},"b":["1","2","3"],"d":{"e":{"g":"43"}}} +{"a":{"b":{"c":3,"d":["4","5"]}},"e":"Hello, World!"} +{"a":{"b":{"c":4,"d":["6","7"]}},"c":"43"} +{"a":{"b":{"c":5,"d":["8","9"]}},"b":["b1","b2"],"d":{"e":{"f":["s3","s4"],"g":"44","h":"2020-02-02 10:00:00"}}} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','b':'Date','c':'Int64','d.e.f':'Array(Nullable(String))'} {'a.b.d':'Array(Nullable(Int64))','b':'Date'} {'c':'Int64','d.e.f':'Array(Nullable(String))'} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(Int64))','d.e.g':'Int64'} {'a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(Int64))'} {'d.e.g':'Int64'} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','e':'String'} {'a.b.d':'Array(Nullable(Int64))'} {'e':'String'} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','c':'Int64'} {'a.b.d':'Array(Nullable(Int64))'} {'c':'Int64'} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(String))','d.e.f':'Array(Nullable(String))','d.e.g':'Int64','d.e.h':'DateTime'} {'a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(String))'} {'d.e.f':'Array(Nullable(String))','d.e.g':'Int64','d.e.h':'DateTime'} +JSON(a.b.c UInt32, max_dynamic_paths=0) +{"a":{"b":{"c":1,"d":["0","1"]}},"b":"2020-01-01","c":"42","d":{"e":{"f":["s1","s2"]}}} +{"a":{"b":{"c":2,"d":["2","3"]}},"b":["1","2","3"],"d":{"e":{"g":"43"}}} +{"a":{"b":{"c":3,"d":["4","5"]}},"e":"Hello, World!"} +{"a":{"b":{"c":4,"d":["6","7"]}},"c":"43"} +{"a":{"b":{"c":5,"d":["8","9"]}},"b":["b1","b2"],"d":{"e":{"f":["s3","s4"],"g":"44","h":"2020-02-02 10:00:00"}}} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','b':'Date','c':'Int64','d.e.f':'Array(Nullable(String))'} {} {'a.b.d':'Array(Nullable(Int64))','b':'Date','c':'Int64','d.e.f':'Array(Nullable(String))'} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(Int64))','d.e.g':'Int64'} {} {'a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(Int64))','d.e.g':'Int64'} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','e':'String'} {} {'a.b.d':'Array(Nullable(Int64))','e':'String'} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','c':'Int64'} {} {'a.b.d':'Array(Nullable(Int64))','c':'Int64'} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(String))','d.e.f':'Array(Nullable(String))','d.e.g':'Int64','d.e.h':'DateTime'} {} {'a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(String))','d.e.f':'Array(Nullable(String))','d.e.g':'Int64','d.e.h':'DateTime'} +JSON(a.b.c UInt32, max_dynamic_types=1) +{"a":{"b":{"c":1,"d":["0","1"]}},"b":"2020-01-01","c":"42","d":{"e":{"f":["s1","s2"]}}} +{"a":{"b":{"c":2,"d":["2","3"]}},"b":["1","2","3"],"d":{"e":{"g":"43"}}} +{"a":{"b":{"c":3,"d":["4","5"]}},"e":"Hello, World!"} +{"a":{"b":{"c":4,"d":["6","7"]}},"c":"43"} +{"a":{"b":{"c":5,"d":["8","9"]}},"b":["b1","b2"],"d":{"e":{"f":["s3","s4"],"g":"44","h":"2020-02-02 10:00:00"}}} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','b':'Date','c':'Int64','d.e.f':'Array(Nullable(String))'} {'a.b.d':'Array(Nullable(Int64))','b':'Date','c':'Int64','d.e.f':'Array(Nullable(String))'} {} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(Int64))','d.e.g':'Int64'} {'a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(Int64))','d.e.g':'Int64'} {} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','e':'String'} {'a.b.d':'Array(Nullable(Int64))','e':'String'} {} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','c':'Int64'} {'a.b.d':'Array(Nullable(Int64))','c':'Int64'} {} +{'a.b.c':'UInt32','a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(String))','d.e.f':'Array(Nullable(String))','d.e.g':'Int64','d.e.h':'DateTime'} {'a.b.d':'Array(Nullable(Int64))','b':'Array(Nullable(String))','d.e.f':'Array(Nullable(String))','d.e.g':'Int64','d.e.h':'DateTime'} {} +Test small max_read_buffer_size +{"a":{"b":{"c":"1","d":["0","1"]}},"b":"2020-01-01","c":"42","d":{"e":{"f":["s1","s2"]}}} +{"a":{"b":{"c":"2","d":["2","3"]}},"b":["1","2","3"],"d":{"e":{"g":"43"}}} +{"a":{"b":{"c":"3","d":["4","5"]}},"e":"Hello, World!"} +{"a":{"b":{"c":"4","d":["6","7"]}},"c":"43"} +{"a":{"b":{"c":"5","d":["8","9"]}},"b":["b1","b2"],"d":{"e":{"f":["s3","s4"],"g":"44","h":"2020-02-02 10:00:00"}}} +{"a":{"b":{"c":"1","d":["0","1"]}},"b":"2020-01-01","c":"42","d":{"e":{"f":["s1","s2"]}}} +{"a":{"b":{"c":"2","d":["2","3"]}},"b":["1","2","3"],"d":{"e":{"g":"43"}}} +{"a":{"b":{"c":"3","d":["4","5"]}},"e":"Hello, World!"} +{"a":{"b":{"c":"4","d":["6","7"]}},"c":"43"} +{"a":{"b":{"c":"5","d":["8","9"]}},"b":["b1","b2"],"d":{"e":{"f":["s3","s4"],"g":"44","h":"2020-02-02 10:00:00"}}} +{"a":{"b":{"c":"1","d":["0","1"]}},"b":"2020-01-01","c":"42","d":{"e":{"f":["s1","s2"]}}} +{"a":{"b":{"c":"2","d":["2","3"]}},"b":["1","2","3"],"d":{"e":{"g":"43"}}} +{"a":{"b":{"c":"3","d":["4","5"]}},"e":"Hello, World!"} +{"a":{"b":{"c":"4","d":["6","7"]}},"c":"43"} +{"a":{"b":{"c":"5","d":["8","9"]}},"b":["b1","b2"],"d":{"e":{"f":["s3","s4"],"g":"44","h":"2020-02-02 10:00:00"}}} +{"a":{"b":{"c":"1","d":["0","1"]}},"b":"2020-01-01","c":"42","d":{"e":{"f":["s1","s2"]}}} +{"a":{"b":{"c":"2","d":["2","3"]}},"b":["1","2","3"],"d":{"e":{"g":"43"}}} +{"a":{"b":{"c":"3","d":["4","5"]}},"e":"Hello, World!"} +{"a":{"b":{"c":"4","d":["6","7"]}},"c":"43"} +{"a":{"b":{"c":"5","d":["8","9"]}},"b":["b1","b2"],"d":{"e":{"f":["s3","s4"],"g":"44","h":"2020-02-02 10:00:00"}}} +Test PrettyJSONEachRow +{ + "json": { + "a" : { + "b" : { + "c" : "1", + "d" : [ + "0", + "1" + ] + } + }, + "b" : "2020-01-01", + "c" : "42", + "d" : { + "e" : { + "f" : [ + "s1", + "s2" + ] + } + } + } +} +{ + "json": { + "a" : { + "b" : { + "c" : "2", + "d" : [ + "2", + "3" + ] + } + }, + "b" : [ + "1", + "2", + "3" + ], + "d" : { + "e" : { + "g" : "43" + } + } + } +} +{ + "json": { + "a" : { + "b" : { + "c" : "3", + "d" : [ + "4", + "5" + ] + } + }, + "e" : "Hello, World!" + } +} +{ + "json": { + "a" : { + "b" : { + "c" : "4", + "d" : [ + "6", + "7" + ] + } + }, + "c" : "43" + } +} +{ + "json": { + "a" : { + "b" : { + "c" : "5", + "d" : [ + "8", + "9" + ] + } + }, + "b" : [ + "b1", + "b2" + ], + "d" : { + "e" : { + "f" : [ + "s3", + "s4" + ], + "g" : "44", + "h" : "2020-02-02 10:00:00" + } + } + } +} +Test TSV +{"a":{"b":{"c":"1","d":["0","1"]}},"b":"2020-01-01","c":"42","d":{"e":{"f":["s1","s2"]}}} +{"a":{"b":{"c":"2","d":["2","3"]}},"b":["1","2","3"],"d":{"e":{"g":"43"}}} +{"a":{"b":{"c":"3","d":["4","5"]}},"e":"Hello, World!"} +{"a":{"b":{"c":"4","d":["6","7"]}},"c":"43"} +{"a":{"b":{"c":"5","d":["8","9"]}},"b":["b1","b2"],"d":{"e":{"f":["s3","s4"],"g":"44","h":"2020-02-02 10:00:00"}}} +Test CSV +"{""a"":{""b"":{""c"":""1"",""d"":[""0"",""1""]}},""b"":""2020-01-01"",""c"":""42"",""d"":{""e"":{""f"":[""s1"",""s2""]}}}" +"{""a"":{""b"":{""c"":""2"",""d"":[""2"",""3""]}},""b"":[""1"",""2"",""3""],""d"":{""e"":{""g"":""43""}}}" +"{""a"":{""b"":{""c"":""3"",""d"":[""4"",""5""]}},""e"":""Hello, World!""}" +"{""a"":{""b"":{""c"":""4"",""d"":[""6"",""7""]}},""c"":""43""}" +"{""a"":{""b"":{""c"":""5"",""d"":[""8"",""9""]}},""b"":[""b1"",""b2""],""d"":{""e"":{""f"":[""s3"",""s4""],""g"":""44"",""h"":""2020-02-02 10:00:00""}}}" diff --git a/tests/queries/0_stateless/03206_json_parsing_and_formatting.sh b/tests/queries/0_stateless/03206_json_parsing_and_formatting.sh new file mode 100755 index 00000000000..7e53e4388ec --- /dev/null +++ b/tests/queries/0_stateless/03206_json_parsing_and_formatting.sh @@ -0,0 +1,56 @@ +#!/usr/bin/env bash +# Tags: no-fasttest + +CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) +# shellcheck source=../shell_config.sh +. "$CURDIR"/../shell_config.sh + +DATA_FILE=$CLICKHOUSE_TEST_UNIQUE_NAME.json + +echo '{"a" : {"b" : {"c" : 1, "d" : [0, 1]}}, "b" : "2020-01-01", "c" : 42, "d" : {"e" : {"f" : ["s1", "s2"]}}} +{"a" : {"b" : {"c" : 2, "d" : [2, 3]}}, "b" : [1, 2, 3], "c" : null, "d" : {"e" : {"g" : 43}}} +{"a" : {"b" : {"c" : 3, "d" : [4, 5]}}, "e" : "Hello, World!"} +{"a" : {"b" : {"c" : 4, "d" : [6, 7]}}, "c" : 43} +{"a" : {"b" : {"c" : 5, "d" : [8, 9]}}, "b" : ["b1", "b2"], "d" : {"e" : {"f" : ["s3", "s4"], "g" : 44, "h" : "2020-02-02 10:00:00"}}}' > $DATA_FILE + +echo "JSON with no arguments" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select json from file($DATA_FILE, JSONAsObject)" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json) from file($DATA_FILE, JSONAsObject)" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select json.a.b.c, json.b, json.^d from file($DATA_FILE, JSONAsObject)" + +echo "JSON(a.b Tuple(c UInt32, d Array(Bool)), SKIP d.e, SKIP c, SKIP REGEXP '.*h.*')" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select json from file($DATA_FILE, JSONAsObject, 'json JSON(a.b Tuple(c UInt32, d Array(Bool)), SKIP d.e, SKIP c, SKIP REGEXP \'.*h.*\')')" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json) from file($DATA_FILE, JSONAsObject, 'json JSON(a.b Tuple(c UInt32, d Array(Bool)), SKIP d.e, SKIP c, SKIP REGEXP \'.*h.*\')')" + +echo "JSON(a.b.c UInt32, max_dynamic_paths=2)" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select json from file($DATA_FILE, JSONAsObject, 'json JSON(a.b.c UInt32, max_dynamic_paths=2)')" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json) from file($DATA_FILE, JSONAsObject, 'json JSON(a.b.c UInt32, max_dynamic_paths=2)')" + +echo "JSON(a.b.c UInt32, max_dynamic_paths=0)" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select json from file($DATA_FILE, JSONAsObject, 'json JSON(a.b.c UInt32, max_dynamic_paths=0)')" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json) from file($DATA_FILE, JSONAsObject, 'json JSON(a.b.c UInt32, max_dynamic_paths=0)')" + +echo "JSON(a.b.c UInt32, max_dynamic_types=1)" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select json from file($DATA_FILE, JSONAsObject, 'json JSON(a.b.c UInt32, max_dynamic_types=0)')" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select JSONAllPathsWithTypes(json), JSONDynamicPathsWithTypes(json), JSONSharedDataPathsWithTypes(json) from file($DATA_FILE, JSONAsObject, 'json JSON(a.b.c UInt32, max_dynamic_types=0)')" + +echo "Test small max_read_buffer_size" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 --max_read_buffer_size=1 -q "select json from file($DATA_FILE, JSONAsObject)" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 --max_read_buffer_size=2 -q "select json from file($DATA_FILE, JSONAsObject)" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 --max_read_buffer_size=3 -q "select json from file($DATA_FILE, JSONAsObject)" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 --max_read_buffer_size=4 -q "select json from file($DATA_FILE, JSONAsObject)" + +echo "Test PrettyJSONEachRow" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select json from file($DATA_FILE, JSONAsObject) format PrettyJSONEachRow" + +echo "Test TSV" +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select json from file($DATA_FILE, TSV, 'json JSON') format TSV" +echo "Test CSV" +echo '"{""a"" : {""b"" : {""c"" : 1, ""d"" : [0, 1]}}, ""b"" : ""2020-01-01"", ""c"" : 42, ""d"" : {""e"" : {""f"" : [""s1"", ""s2""]}}}" +"{""a"" : {""b"" : {""c"" : 2, ""d"" : [2, 3]}}, ""b"" : [1, 2, 3], ""c"" : null, ""d"" : {""e"" : {""g"" : 43}}}" +"{""a"" : {""b"" : {""c"" : 3, ""d"" : [4, 5]}}, ""e"" : ""Hello, World!""}" +"{""a"" : {""b"" : {""c"" : 4, ""d"" : [6, 7]}}, ""c"" : 43}" +"{""a"" : {""b"" : {""c"" : 5, ""d"" : [8, 9]}}, ""b"" : [""b1"", ""b2""], ""d"" : {""e"" : {""f"" : [""s3"", ""s4""], ""g"" : 44, ""h"" : ""2020-02-02 10:00:00""}}}"' > $DATA_FILE +$CLICKHOUSE_LOCAL --allow_experimental_json_type=1 -q "select json from file($DATA_FILE, CSV, 'json JSON') format CSV" + +rm $DATA_FILE diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_1_compact_merge_tree.reference.j2 b/tests/queries/0_stateless/03207_json_read_subcolumns_1_compact_merge_tree.reference.j2 new file mode 100644 index 00000000000..a93a2259442 --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_1_compact_merge_tree.reference.j2 @@ -0,0 +1,826 @@ +('a.b.c','UInt32') +('a.b.d','Array(Nullable(String))') +('a.b.d','DateTime') +('a.b.d','Int64') +('a.b.e','String') +('b.b._25','Int64') +('b.b._26','Int64') +('b.b._27','Int64') +('b.b._28','Int64') +('b.b._29','Int64') +('b.b.d','Int64') +('b.b.e','String') +('d.a','Array(Nullable(Int64))') +('d.a','Int64') +('d.b','Int64') +('d.c','Date') +{ + "json.non.existing.path": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.a.b.c": [0, 0, 0, 0, 0, 5, 6, 7, 8, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39], + "json.a.b.d": [null, null, null, null, null, null, null, null, null, null, "10", "11", "12", "13", "14", null, null, null, null, null, "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", [], [], [], [], [], "1970-01-01 00:00:35", "1970-01-01 00:00:36", "1970-01-01 00:00:37", "1970-01-01 00:00:38", "1970-01-01 00:00:39"], + "json.a.b.d.:`Int64`": [null, null, null, null, null, null, null, null, null, null, "10", "11", "12", "13", "14", null, null, null, null, null, "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", null, null, null, null, null, null, null, null, null, null], + "json.a.b.d.:`UUID`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.a.b.e": [null, null, null, null, null, null, null, null, null, null, "str_10", "str_11", "str_12", "str_13", "str_14", null, null, null, null, null, "str_20", "str_21", "str_22", "str_23", "str_24", "str_25", "str_26", "str_27", "str_28", "str_29", "str_30", "str_31", "str_32", "str_33", "str_34", "str_35", "str_36", "str_37", "str_38", "str_39"], + "json.a.b.e.:`String`": [null, null, null, null, null, null, null, null, null, null, "str_10", "str_11", "str_12", "str_13", "str_14", null, null, null, null, null, "str_20", "str_21", "str_22", "str_23", "str_24", "str_25", "str_26", "str_27", "str_28", "str_29", "str_30", "str_31", "str_32", "str_33", "str_34", "str_35", "str_36", "str_37", "str_38", "str_39"], + "json.a.b.e.:`UUID`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._25": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "25", null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._25.:`Int64`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "25", null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._25.:`UUID`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._26": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "26", null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._26.:`Int64`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "26", null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._26.:`UUID`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._27": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "27", null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._27.:`Int64`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "27", null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._27.:`UUID`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._28": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "28", null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._28.:`Int64`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "28", null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._28.:`UUID`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b._29": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "29", null, null, null, null, null, null, null, null, null, null], + "json.b.b._29.:`Int64`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "29", null, null, null, null, null, null, null, null, null, null], + "json.b.b._29.:`UUID`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b.d": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "15", "16", "17", "18", "19", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b.d.:`Int64`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "15", "16", "17", "18", "19", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b.d.:`UUID`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b.e": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "str_15", "str_16", "str_17", "str_18", "str_19", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b.e.:`String`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "str_15", "str_16", "str_17", "str_18", "str_19", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.b.b.e.:`UUID`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.d.a": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "30", "31", "32", "33", "34", ["0"], ["0","1"], ["0","1","2"], ["0","1","2","3"], ["0","1","2","3","4"]], + "json.d.a.:`Array(Nullable(Int64))`": [[], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], ["0"], ["0","1"], ["0","1","2"], ["0","1","2","3"], ["0","1","2","3","4"]], + "json.d.a.:`UUID`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.d.b": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "35", "36", "37", "38", "39"], + "json.d.b.:`Int64`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "35", "36", "37", "38", "39"], + "json.d.b.:`UUID`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.d.c": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "1970-01-31", "1970-02-01", 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{"b":{"c":33,"d":[],"e":"str_33"}}, {"b":{"c":34,"d":[],"e":"str_34"}}, {"b":{"c":35,"d":"1970-01-01 00:00:35","e":"str_35"}}, {"b":{"c":36,"d":"1970-01-01 00:00:36","e":"str_36"}}, {"b":{"c":37,"d":"1970-01-01 00:00:37","e":"str_37"}}, {"b":{"c":38,"d":"1970-01-01 00:00:38","e":"str_38"}}, {"b":{"c":39,"d":"1970-01-01 00:00:39","e":"str_39"}}], + "json.a.b.d.:`Int64`": [null, null, null, null, null, null, null, null, null, null, "10", "11", "12", "13", "14", null, null, null, null, null, "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", null, null, null, null, null, null, null, null, null, null], + "json.a.b.d.:`Date`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] +} +{ + "json": [{"a":{"b":{"c":0}}}, {"a":{"b":{"c":0}}}, {"a":{"b":{"c":0}}}, {"a":{"b":{"c":0}}}, {"a":{"b":{"c":0}}}, {"a":{"b":{"c":5}}}, {"a":{"b":{"c":6}}}, {"a":{"b":{"c":7}}}, {"a":{"b":{"c":8}}}, {"a":{"b":{"c":9}}}, {"a":{"b":{"c":0,"d":"10","e":"str_10"}}}, {"a":{"b":{"c":0,"d":"11","e":"str_11"}}}, {"a":{"b":{"c":0,"d":"12","e":"str_12"}}}, {"a":{"b":{"c":0,"d":"13","e":"str_13"}}}, {"a":{"b":{"c":0,"d":"14","e":"str_14"}}}, {"a":{"b":{"c":0}},"b":{"b":{"d":"15","e":"str_15"}}}, {"a":{"b":{"c":0}},"b":{"b":{"d":"16","e":"str_16"}}}, {"a":{"b":{"c":0}},"b":{"b":{"d":"17","e":"str_17"}}}, {"a":{"b":{"c":0}},"b":{"b":{"d":"18","e":"str_18"}}}, {"a":{"b":{"c":0}},"b":{"b":{"d":"19","e":"str_19"}}}, {"a":{"b":{"c":20,"d":"20","e":"str_20"}}}, {"a":{"b":{"c":21,"d":"21","e":"str_21"}}}, {"a":{"b":{"c":22,"d":"22","e":"str_22"}}}, {"a":{"b":{"c":23,"d":"23","e":"str_23"}}}, {"a":{"b":{"c":24,"d":"24","e":"str_24"}}}, {"a":{"b":{"c":25,"d":"25","e":"str_25"}},"b":{"b":{"_25":"25"}}}, {"a":{"b":{"c":26,"d":"26","e":"str_26"}},"b":{"b":{"_26":"26"}}}, {"a":{"b":{"c":27,"d":"27","e":"str_27"}},"b":{"b":{"_27":"27"}}}, {"a":{"b":{"c":28,"d":"28","e":"str_28"}},"b":{"b":{"_28":"28"}}}, {"a":{"b":{"c":29,"d":"29","e":"str_29"}},"b":{"b":{"_29":"29"}}}, {"a":{"b":{"c":30,"d":[],"e":"str_30"}},"d":{"a":"30","c":"1970-01-31"}}, {"a":{"b":{"c":31,"d":[],"e":"str_31"}},"d":{"a":"31","c":"1970-02-01"}}, {"a":{"b":{"c":32,"d":[],"e":"str_32"}},"d":{"a":"32","c":"1970-02-02"}}, {"a":{"b":{"c":33,"d":[],"e":"str_33"}},"d":{"a":"33","c":"1970-02-03"}}, {"a":{"b":{"c":34,"d":[],"e":"str_34"}},"d":{"a":"34","c":"1970-02-04"}}, {"a":{"b":{"c":35,"d":"1970-01-01 00:00:35","e":"str_35"}},"d":{"a":["0"],"b":"35"}}, {"a":{"b":{"c":36,"d":"1970-01-01 00:00:36","e":"str_36"}},"d":{"a":["0","1"],"b":"36"}}, {"a":{"b":{"c":37,"d":"1970-01-01 00:00:37","e":"str_37"}},"d":{"a":["0","1","2"],"b":"37"}}, {"a":{"b":{"c":38,"d":"1970-01-01 00:00:38","e":"str_38"}},"d":{"a":["0","1","2","3"],"b":"38"}}, {"a":{"b":{"c":39,"d":"1970-01-01 00:00:39","e":"str_39"}},"d":{"a":["0","1","2","3","4"],"b":"39"}}], + "json.^`a`": [{"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":5}}, {"b":{"c":6}}, {"b":{"c":7}}, {"b":{"c":8}}, {"b":{"c":9}}, {"b":{"c":0,"d":"10","e":"str_10"}}, {"b":{"c":0,"d":"11","e":"str_11"}}, {"b":{"c":0,"d":"12","e":"str_12"}}, {"b":{"c":0,"d":"13","e":"str_13"}}, {"b":{"c":0,"d":"14","e":"str_14"}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":20,"d":"20","e":"str_20"}}, {"b":{"c":21,"d":"21","e":"str_21"}}, {"b":{"c":22,"d":"22","e":"str_22"}}, {"b":{"c":23,"d":"23","e":"str_23"}}, {"b":{"c":24,"d":"24","e":"str_24"}}, {"b":{"c":25,"d":"25","e":"str_25"}}, {"b":{"c":26,"d":"26","e":"str_26"}}, {"b":{"c":27,"d":"27","e":"str_27"}}, {"b":{"c":28,"d":"28","e":"str_28"}}, {"b":{"c":29,"d":"29","e":"str_29"}}, {"b":{"c":30,"d":[],"e":"str_30"}}, {"b":{"c":31,"d":[],"e":"str_31"}}, {"b":{"c":32,"d":[],"e":"str_32"}}, {"b":{"c":33,"d":[],"e":"str_33"}}, {"b":{"c":34,"d":[],"e":"str_34"}}, {"b":{"c":35,"d":"1970-01-01 00:00:35","e":"str_35"}}, {"b":{"c":36,"d":"1970-01-01 00:00:36","e":"str_36"}}, {"b":{"c":37,"d":"1970-01-01 00:00:37","e":"str_37"}}, {"b":{"c":38,"d":"1970-01-01 00:00:38","e":"str_38"}}, {"b":{"c":39,"d":"1970-01-01 00:00:39","e":"str_39"}}], + "json.a.b.d": [null, null, null, null, null, null, null, null, null, null, "10", "11", "12", "13", "14", null, null, null, null, null, "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", [], [], [], [], [], "1970-01-01 00:00:35", "1970-01-01 00:00:36", "1970-01-01 00:00:37", "1970-01-01 00:00:38", "1970-01-01 00:00:39"], + "json.a.b.d.:`Int64`": [null, null, null, null, null, null, null, null, null, null, "10", "11", "12", "13", "14", null, null, null, null, null, "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", null, null, null, null, null, null, null, null, null, null], + "json.a.b.d.:`Date`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] +} diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_1_compact_merge_tree.sql.j2 b/tests/queries/0_stateless/03207_json_read_subcolumns_1_compact_merge_tree.sql.j2 new file mode 100644 index 00000000000..0ec1a86372b --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_1_compact_merge_tree.sql.j2 @@ -0,0 +1,93 @@ +-- Tags: no-fasttest + +set allow_experimental_json_type = 1; +set allow_experimental_variant_type = 1; +set use_variant_as_common_type = 1; +set session_timezone = 'UTC'; + +drop table if exists test; +create table test (id UInt64, json JSON(max_dynamic_paths=2, a.b.c UInt32)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000; + +insert into test select number, '{}' from numbers(5); +insert into test select number, toJSONString(map('a.b.c', number)) from numbers(5, 5); +insert into test select number, toJSONString(map('a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(10, 5); +insert into test select number, toJSONString(map('b.b.d', number::UInt32, 'b.b.e', 'str_' || toString(number))) from numbers(15, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(20, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number), 'b.b._' || toString(number), number::UInt32)) from numbers(25, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', range(number % + 1)::Array(UInt32), 'a.b.e', 'str_' || toString(number), 'd.a', number::UInt32, 'd.c', toDate(number))) from numbers(30, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', toDateTime(number), 'a.b.e', 'str_' || toString(number), 'd.a', range(number % 5 + 1)::Array(UInt32), 'd.b', number::UInt32)) from numbers(35, 5); + +{% for merge_command in ['system stop merges test', 'system start merges test'] -%} + +{{ merge_command }}; + +select distinct arrayJoin(JSONAllPathsWithTypes(json)) as paths_with_types from test order by paths_with_types; + +select json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_25`, json.b.b.`_25`.:Int64, json.b.b.`_25`.:UUID, json.b.b.`_26`, json.b.b.`_26`.:Int64, json.b.b.`_26`.:UUID, json.b.b.`_27`, json.b.b.`_27`.:Int64, json.b.b.`_27`.:UUID, json.b.b.`_28`, json.b.b.`_28`.:Int64, json.b.b.`_28`.:UUID, json.b.b.`_29`, json.b.b.`_29`.:Int64, json.b.b.`_29`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format JSONColumns; +select json, json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_25`, json.b.b.`_25`.:Int64, json.b.b.`_25`.:UUID, json.b.b.`_26`, json.b.b.`_26`.:Int64, json.b.b.`_26`.:UUID, json.b.b.`_27`, json.b.b.`_27`.:Int64, json.b.b.`_27`.:UUID, json.b.b.`_28`, json.b.b.`_28`.:Int64, json.b.b.`_28`.:UUID, json.b.b.`_29`, json.b.b.`_29`.:Int64, json.b.b.`_29`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format JSONColumns; + +select json.non.existing.path from test order by id format JSONColumns; +select json.non.existing.path.:Int64 from test order by id format JSONColumns; +select json.non.existing.path, json.non.existing.path.:Int64 from test order by id format JSONColumns; +select json, json.non.existing.path from test order by id format JSONColumns; +select json, json.non.existing.path.:Int64 from test order by id format JSONColumns; +select json, json.non.existing.path, json.non.existing.path.:Int64 from test order by id format JSONColumns; + +select json.a.b.c from test order by id format JSONColumns; +select json, json.a.b.c from test order by id format JSONColumns; + +select json.b.b.e from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; +select json, json.b.b.e from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; + +select json.b.b.e, json.a.b.d from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.a.b.d from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; + +select json.b.b.e, json.d.a from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.d.a from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; + +select json.b.b.e, json.d.a, json.d.b from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.d.a, json.d.b from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; + +select json.d.a, json.d.b from test order by id format JSONColumns; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.d.a, json.d.b from test order by id format JSONColumns; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; + +select json.d.a, json.b.b.`_26` from test order by id format JSONColumns; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b.`_26`.:Date from test order by id format JSONColumns; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b, json.b.b.`_26`.:Date from test order by id format JSONColumns; +select json, json.d.a, json.b.b.`_26` from test order by id format JSONColumns; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b.`_26`.:Date from test order by id format JSONColumns; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b, json.b.b.`_26`.:Date from test order by id format JSONColumns; + +select json.^a, json.a.b.c from test order by id format JSONColumns; +select json, json.^a, json.a.b.c from test order by id format JSONColumns; + +select json.^a, json.a.b.d from test order by id format JSONColumns; +select json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.^a, json.a.b.d from test order by id format JSONColumns; +select json, json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; + +{% endfor -%} + +drop table test; \ No newline at end of file diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_1_memory.reference b/tests/queries/0_stateless/03207_json_read_subcolumns_1_memory.reference new file mode 100644 index 00000000000..6276be52c0d --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_1_memory.reference @@ -0,0 +1,413 @@ +('a.b.c','UInt32') +('a.b.d','Array(Nullable(String))') +('a.b.d','DateTime') +('a.b.d','Int64') +('a.b.e','String') +('b.b._25','Int64') +('b.b._26','Int64') +('b.b._27','Int64') +('b.b._28','Int64') +('b.b._29','Int64') +('b.b.d','Int64') +('b.b.e','String') +('d.a','Array(Nullable(Int64))') +('d.a','Int64') +('d.b','Int64') +('d.c','Date') +{ + "json.non.existing.path": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], + "json.a.b.c": [0, 0, 0, 0, 0, 5, 6, 7, 8, 9, 0, 0, 0, 0, 0, 0, 0, 0, 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"json.a.b.d.:`Int64`": [null, null, null, null, null, null, null, null, null, null, "10", "11", "12", "13", "14", null, null, null, null, null, "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", null, null, null, null, null, null, null, null, null, null], + "json.a.b.d.:`Date`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] +} +{ + "json": [{"a":{"b":{"c":0}}}, {"a":{"b":{"c":0}}}, {"a":{"b":{"c":0}}}, {"a":{"b":{"c":0}}}, {"a":{"b":{"c":0}}}, {"a":{"b":{"c":5}}}, {"a":{"b":{"c":6}}}, {"a":{"b":{"c":7}}}, {"a":{"b":{"c":8}}}, {"a":{"b":{"c":9}}}, {"a":{"b":{"c":0,"d":"10","e":"str_10"}}}, {"a":{"b":{"c":0,"d":"11","e":"str_11"}}}, {"a":{"b":{"c":0,"d":"12","e":"str_12"}}}, {"a":{"b":{"c":0,"d":"13","e":"str_13"}}}, {"a":{"b":{"c":0,"d":"14","e":"str_14"}}}, {"a":{"b":{"c":0}},"b":{"b":{"d":"15","e":"str_15"}}}, {"a":{"b":{"c":0}},"b":{"b":{"d":"16","e":"str_16"}}}, {"a":{"b":{"c":0}},"b":{"b":{"d":"17","e":"str_17"}}}, {"a":{"b":{"c":0}},"b":{"b":{"d":"18","e":"str_18"}}}, {"a":{"b":{"c":0}},"b":{"b":{"d":"19","e":"str_19"}}}, {"a":{"b":{"c":20,"d":"20","e":"str_20"}}}, {"a":{"b":{"c":21,"d":"21","e":"str_21"}}}, {"a":{"b":{"c":22,"d":"22","e":"str_22"}}}, {"a":{"b":{"c":23,"d":"23","e":"str_23"}}}, {"a":{"b":{"c":24,"d":"24","e":"str_24"}}}, {"a":{"b":{"c":25,"d":"25","e":"str_25"}},"b":{"b":{"_25":"25"}}}, {"a":{"b":{"c":26,"d":"26","e":"str_26"}},"b":{"b":{"_26":"26"}}}, {"a":{"b":{"c":27,"d":"27","e":"str_27"}},"b":{"b":{"_27":"27"}}}, {"a":{"b":{"c":28,"d":"28","e":"str_28"}},"b":{"b":{"_28":"28"}}}, {"a":{"b":{"c":29,"d":"29","e":"str_29"}},"b":{"b":{"_29":"29"}}}, {"a":{"b":{"c":30,"d":[],"e":"str_30"}},"d":{"a":"30","c":"1970-01-31"}}, {"a":{"b":{"c":31,"d":[],"e":"str_31"}},"d":{"a":"31","c":"1970-02-01"}}, {"a":{"b":{"c":32,"d":[],"e":"str_32"}},"d":{"a":"32","c":"1970-02-02"}}, {"a":{"b":{"c":33,"d":[],"e":"str_33"}},"d":{"a":"33","c":"1970-02-03"}}, {"a":{"b":{"c":34,"d":[],"e":"str_34"}},"d":{"a":"34","c":"1970-02-04"}}, {"a":{"b":{"c":35,"d":"1970-01-01 00:00:35","e":"str_35"}},"d":{"a":["0"],"b":"35"}}, {"a":{"b":{"c":36,"d":"1970-01-01 00:00:36","e":"str_36"}},"d":{"a":["0","1"],"b":"36"}}, {"a":{"b":{"c":37,"d":"1970-01-01 00:00:37","e":"str_37"}},"d":{"a":["0","1","2"],"b":"37"}}, {"a":{"b":{"c":38,"d":"1970-01-01 00:00:38","e":"str_38"}},"d":{"a":["0","1","2","3"],"b":"38"}}, {"a":{"b":{"c":39,"d":"1970-01-01 00:00:39","e":"str_39"}},"d":{"a":["0","1","2","3","4"],"b":"39"}}], + "json.^`a`": [{"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":5}}, {"b":{"c":6}}, {"b":{"c":7}}, {"b":{"c":8}}, {"b":{"c":9}}, {"b":{"c":0,"d":"10","e":"str_10"}}, {"b":{"c":0,"d":"11","e":"str_11"}}, {"b":{"c":0,"d":"12","e":"str_12"}}, {"b":{"c":0,"d":"13","e":"str_13"}}, {"b":{"c":0,"d":"14","e":"str_14"}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":0}}, {"b":{"c":20,"d":"20","e":"str_20"}}, {"b":{"c":21,"d":"21","e":"str_21"}}, {"b":{"c":22,"d":"22","e":"str_22"}}, {"b":{"c":23,"d":"23","e":"str_23"}}, {"b":{"c":24,"d":"24","e":"str_24"}}, {"b":{"c":25,"d":"25","e":"str_25"}}, {"b":{"c":26,"d":"26","e":"str_26"}}, {"b":{"c":27,"d":"27","e":"str_27"}}, {"b":{"c":28,"d":"28","e":"str_28"}}, {"b":{"c":29,"d":"29","e":"str_29"}}, {"b":{"c":30,"d":[],"e":"str_30"}}, {"b":{"c":31,"d":[],"e":"str_31"}}, {"b":{"c":32,"d":[],"e":"str_32"}}, {"b":{"c":33,"d":[],"e":"str_33"}}, {"b":{"c":34,"d":[],"e":"str_34"}}, {"b":{"c":35,"d":"1970-01-01 00:00:35","e":"str_35"}}, {"b":{"c":36,"d":"1970-01-01 00:00:36","e":"str_36"}}, {"b":{"c":37,"d":"1970-01-01 00:00:37","e":"str_37"}}, {"b":{"c":38,"d":"1970-01-01 00:00:38","e":"str_38"}}, {"b":{"c":39,"d":"1970-01-01 00:00:39","e":"str_39"}}], + "json.a.b.d": [null, null, null, null, null, null, null, null, null, null, "10", "11", "12", "13", "14", null, null, null, null, null, "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", [], [], [], [], [], "1970-01-01 00:00:35", "1970-01-01 00:00:36", "1970-01-01 00:00:37", "1970-01-01 00:00:38", "1970-01-01 00:00:39"], + "json.a.b.d.:`Int64`": [null, null, null, null, null, null, null, null, null, null, "10", "11", "12", "13", "14", null, null, null, null, null, "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", null, null, null, null, null, null, null, null, null, null], + "json.a.b.d.:`Date`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] +} diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_1_memory.sql b/tests/queries/0_stateless/03207_json_read_subcolumns_1_memory.sql new file mode 100644 index 00000000000..51e6970759d --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_1_memory.sql @@ -0,0 +1,87 @@ +-- Tags: no-fasttest, long +set allow_experimental_json_type = 1; +set allow_experimental_variant_type = 1; +set use_variant_as_common_type=1; +set session_timezone = 'UTC'; + +drop table if exists test; +create table test (id UInt64, json JSON(max_dynamic_paths=2, a.b.c UInt32)) engine=Memory; + +truncate table test; +insert into test select number, '{}' from numbers(5); +insert into test select number, toJSONString(map('a.b.c', number)) from numbers(5, 5); +insert into test select number, toJSONString(map('a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(10, 5); +insert into test select number, toJSONString(map('b.b.d', number::UInt32, 'b.b.e', 'str_' || toString(number))) from numbers(15, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(20, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number), 'b.b._' || toString(number), number::UInt32)) from numbers(25, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', range(number % + 1)::Array(UInt32), 'a.b.e', 'str_' || toString(number), 'd.a', number::UInt32, 'd.c', toDate(number))) from numbers(30, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', toDateTime(number), 'a.b.e', 'str_' || toString(number), 'd.a', range(number % 5 + 1)::Array(UInt32), 'd.b', number::UInt32)) from numbers(35, 5); + +select distinct arrayJoin(JSONAllPathsWithTypes(json)) as paths_with_types from test order by paths_with_types; + +select json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_25`, json.b.b.`_25`.:Int64, json.b.b.`_25`.:UUID, json.b.b.`_26`, json.b.b.`_26`.:Int64, json.b.b.`_26`.:UUID, json.b.b.`_27`, json.b.b.`_27`.:Int64, json.b.b.`_27`.:UUID, json.b.b.`_28`, json.b.b.`_28`.:Int64, json.b.b.`_28`.:UUID, json.b.b.`_29`, json.b.b.`_29`.:Int64, json.b.b.`_29`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format JSONColumns; +select json, json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_25`, json.b.b.`_25`.:Int64, json.b.b.`_25`.:UUID, json.b.b.`_26`, json.b.b.`_26`.:Int64, json.b.b.`_26`.:UUID, json.b.b.`_27`, json.b.b.`_27`.:Int64, json.b.b.`_27`.:UUID, json.b.b.`_28`, json.b.b.`_28`.:Int64, json.b.b.`_28`.:UUID, json.b.b.`_29`, json.b.b.`_29`.:Int64, json.b.b.`_29`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format JSONColumns; + +select json.non.existing.path from test order by id format JSONColumns; +select json.non.existing.path.:Int64 from test order by id format JSONColumns; +select json.non.existing.path, json.non.existing.path.:Int64 from test order by id format JSONColumns; +select json, json.non.existing.path from test order by id format JSONColumns; +select json, json.non.existing.path.:Int64 from test order by id format JSONColumns; +select json, json.non.existing.path, json.non.existing.path.:Int64 from test order by id format JSONColumns; + +select json.a.b.c from test order by id format JSONColumns; +select json, json.a.b.c from test order by id format JSONColumns; + +select json.b.b.e from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; +select json, json.b.b.e from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; + +select json.b.b.e, json.a.b.d from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.a.b.d from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; + +select json.b.b.e, json.d.a from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.d.a from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; + +select json.b.b.e, json.d.a, json.d.b from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.d.a, json.d.b from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; + +select json.d.a, json.d.b from test order by id format JSONColumns; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.d.a, json.d.b from test order by id format JSONColumns; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; + +select json.d.a, json.b.b.`_26` from test order by id format JSONColumns; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b.`_26`.:Date from test order by id format JSONColumns; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b, json.b.b.`_26`.:Date from test order by id format JSONColumns; +select json, json.d.a, json.b.b.`_26` from test order by id format JSONColumns; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b.`_26`.:Date from test order by id format JSONColumns; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b, json.b.b.`_26`.:Date from test order by id format JSONColumns; + +select json.^a, json.a.b.c from test order by id format JSONColumns; +select json, json.^a, json.a.b.c from test order by id format JSONColumns; + +select json.^a, json.a.b.d from test order by id format JSONColumns; +select json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.^a, json.a.b.d from test order by id format JSONColumns; +select json, json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; + +drop table test; diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_1_wide_merge_tree.reference.j2 b/tests/queries/0_stateless/03207_json_read_subcolumns_1_wide_merge_tree.reference.j2 new file mode 100644 index 00000000000..a93a2259442 --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_1_wide_merge_tree.reference.j2 @@ -0,0 +1,826 @@ +('a.b.c','UInt32') +('a.b.d','Array(Nullable(String))') +('a.b.d','DateTime') +('a.b.d','Int64') +('a.b.e','String') +('b.b._25','Int64') +('b.b._26','Int64') +('b.b._27','Int64') +('b.b._28','Int64') +('b.b._29','Int64') +('b.b.d','Int64') +('b.b.e','String') +('d.a','Array(Nullable(Int64))') +('d.a','Int64') +('d.b','Int64') +('d.c','Date') +{ + "json.non.existing.path": [null, null, null, null, null, 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"json.a.b.d.:`Int64`": [null, null, null, null, null, null, null, null, null, null, "10", "11", "12", "13", "14", null, null, null, null, null, "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", null, null, null, null, null, null, null, null, null, null], + "json.a.b.d.:`Date`": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] +} diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_1_wide_merge_tree.sql.j2 b/tests/queries/0_stateless/03207_json_read_subcolumns_1_wide_merge_tree.sql.j2 new file mode 100644 index 00000000000..f571d2417f4 --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_1_wide_merge_tree.sql.j2 @@ -0,0 +1,93 @@ +-- Tags: no-fasttest + +set allow_experimental_json_type = 1; +set allow_experimental_variant_type = 1; +set use_variant_as_common_type = 1; +set session_timezone = 'UTC'; + +drop table if exists test; +create table test (id UInt64, json JSON(max_dynamic_paths=2, a.b.c UInt32)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1; + +insert into test select number, '{}' from numbers(5); +insert into test select number, toJSONString(map('a.b.c', number)) from numbers(5, 5); +insert into test select number, toJSONString(map('a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(10, 5); +insert into test select number, toJSONString(map('b.b.d', number::UInt32, 'b.b.e', 'str_' || toString(number))) from numbers(15, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(20, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number), 'b.b._' || toString(number), number::UInt32)) from numbers(25, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', range(number % + 1)::Array(UInt32), 'a.b.e', 'str_' || toString(number), 'd.a', number::UInt32, 'd.c', toDate(number))) from numbers(30, 5); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', toDateTime(number), 'a.b.e', 'str_' || toString(number), 'd.a', range(number % 5 + 1)::Array(UInt32), 'd.b', number::UInt32)) from numbers(35, 5); + +{% for merge_command in ['system stop merges test', 'system start merges test'] -%} + +{{ merge_command }}; + +select distinct arrayJoin(JSONAllPathsWithTypes(json)) as paths_with_types from test order by paths_with_types; + +select json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_25`, json.b.b.`_25`.:Int64, json.b.b.`_25`.:UUID, json.b.b.`_26`, json.b.b.`_26`.:Int64, json.b.b.`_26`.:UUID, json.b.b.`_27`, json.b.b.`_27`.:Int64, json.b.b.`_27`.:UUID, json.b.b.`_28`, json.b.b.`_28`.:Int64, json.b.b.`_28`.:UUID, json.b.b.`_29`, json.b.b.`_29`.:Int64, json.b.b.`_29`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format JSONColumns; +select json, json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_25`, json.b.b.`_25`.:Int64, json.b.b.`_25`.:UUID, json.b.b.`_26`, json.b.b.`_26`.:Int64, json.b.b.`_26`.:UUID, json.b.b.`_27`, json.b.b.`_27`.:Int64, json.b.b.`_27`.:UUID, json.b.b.`_28`, json.b.b.`_28`.:Int64, json.b.b.`_28`.:UUID, json.b.b.`_29`, json.b.b.`_29`.:Int64, json.b.b.`_29`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format JSONColumns; + +select json.non.existing.path from test order by id format JSONColumns; +select json.non.existing.path.:Int64 from test order by id format JSONColumns; +select json.non.existing.path, json.non.existing.path.:Int64 from test order by id format JSONColumns; +select json, json.non.existing.path from test order by id format JSONColumns; +select json, json.non.existing.path.:Int64 from test order by id format JSONColumns; +select json, json.non.existing.path, json.non.existing.path.:Int64 from test order by id format JSONColumns; + +select json.a.b.c from test order by id format JSONColumns; +select json, json.a.b.c from test order by id format JSONColumns; + +select json.b.b.e from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; +select json, json.b.b.e from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format JSONColumns; + +select json.b.b.e, json.a.b.d from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.a.b.d from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; + +select json.b.b.e, json.d.a from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.d.a from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format JSONColumns; + +select json.b.b.e, json.d.a, json.d.b from test order by id format JSONColumns; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.d.a, json.d.b from test order by id format JSONColumns; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; + +select json.d.a, json.d.b from test order by id format JSONColumns; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.d.a, json.d.b from test order by id format JSONColumns; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format JSONColumns; + +select json.d.a, json.b.b.`_26` from test order by id format JSONColumns; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b.`_26`.:Date from test order by id format JSONColumns; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b, json.b.b.`_26`.:Date from test order by id format JSONColumns; +select json, json.d.a, json.b.b.`_26` from test order by id format JSONColumns; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b.`_26`.:Date from test order by id format JSONColumns; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_26`.:Int64, json.b.b, json.b.b.`_26`.:Date from test order by id format JSONColumns; + +select json.^a, json.a.b.c from test order by id format JSONColumns; +select json, json.^a, json.a.b.c from test order by id format JSONColumns; + +select json.^a, json.a.b.d from test order by id format JSONColumns; +select json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.^a, json.a.b.d from test order by id format JSONColumns; +select json, json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; +select json, json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format JSONColumns; + +{% endfor -%} + +drop table test; \ No newline at end of file diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_2_compact_merge_tree.reference.j2 b/tests/queries/0_stateless/03207_json_read_subcolumns_2_compact_merge_tree.reference.j2 new file mode 100644 index 00000000000..e1e69879cfb --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_2_compact_merge_tree.reference.j2 @@ -0,0 +1,66 @@ +('a.b.c','UInt32') +('a.b.d','Array(Nullable(String))') +('a.b.d','DateTime') +('a.b.d','Int64') +('a.b.e','String') +('b.b._0','Int64') +('b.b._1','Int64') +('b.b._2','Int64') +('b.b._3','Int64') +('b.b._4','Int64') +('b.b.d','Int64') +('b.b.e','String') +('d.a','Array(Nullable(Int64))') +('d.a','Int64') +('d.b','Int64') +('d.c','Date') +800000 +800000 +300000 +700000 +700000 +200000 +400000 +500000 +600000 +500000 +600000 +600000 +700000 +580000 +680000 +0 +0 +('a.b.c','UInt32') +('a.b.d','Array(Nullable(String))') +('a.b.d','DateTime') +('a.b.d','Int64') +('a.b.e','String') +('b.b._0','Int64') +('b.b._1','Int64') +('b.b._2','Int64') +('b.b._3','Int64') +('b.b._4','Int64') +('b.b.d','Int64') +('b.b.e','String') +('d.a','Array(Nullable(Int64))') +('d.a','Int64') +('d.b','Int64') +('d.c','Date') +800000 +800000 +300000 +700000 +700000 +200000 +400000 +500000 +600000 +500000 +600000 +600000 +700000 +580000 +680000 +0 +0 diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_2_compact_merge_tree.sql.j2 b/tests/queries/0_stateless/03207_json_read_subcolumns_2_compact_merge_tree.sql.j2 new file mode 100644 index 00000000000..6c33044b5d8 --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_2_compact_merge_tree.sql.j2 @@ -0,0 +1,128 @@ +-- Tags: no-fasttest, long, no-debug, no-tsan, no-asan, no-msan, no-ubsan + +set allow_experimental_json_type = 1; +set allow_experimental_variant_type = 1; +set use_variant_as_common_type = 1; +set session_timezone = 'UTC'; + +drop table if exists test; +create table test (id UInt64, json JSON(max_dynamic_paths=2, a.b.c UInt32)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000; + +insert into test select number, '{}' from numbers(100000); +insert into test select number, toJSONString(map('a.b.c', number)) from numbers(100000, 100000); +insert into test select number, toJSONString(map('a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(200000, 100000); +insert into test select number, toJSONString(map('b.b.d', number::UInt32, 'b.b.e', 'str_' || toString(number))) from numbers(300000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(400000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number), 'b.b._' || toString(number % 5), number::UInt32)) from numbers(500000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', range(number % + 1)::Array(UInt32), 'a.b.e', 'str_' || toString(number), 'd.a', number::UInt32, 'd.c', toDate(number))) from numbers(600000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', toDateTime(number), 'a.b.e', 'str_' || toString(number), 'd.a', range(number % 5 + 1)::Array(UInt32), 'd.b', number::UInt32)) from numbers(700000, 100000); + +{% for merge_command in ['system stop merges test', 'system start merges test'] -%} + +{{ merge_command }}; + +select distinct arrayJoin(JSONAllPathsWithTypes(json)) as paths_with_types from test order by paths_with_types; + +select json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test format Null; +select json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format Null; +select json, json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test format Null; +select json, json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format Null; + +select count() from test where json.non.existing.path is Null; +select count() from test where json.non.existing.path.:String is Null; +select json.non.existing.path from test order by id format Null; +select json.non.existing.path.:Int64 from test order by id format Null; +select json.non.existing.path, json.non.existing.path.:Int64 from test order by id format Null; +select json, json.non.existing.path from test order by id format Null; +select json, json.non.existing.path.:Int64 from test order by id format Null; +select json, json.non.existing.path, json.non.existing.path.:Int64 from test format Null; +select json, json.non.existing.path, json.non.existing.path.:Int64 from test order by id format Null; + +select count() from test where json.a.b.c == 0; +select json.a.b.c from test format Null; +select json.a.b.c from test order by id format Null; +select json, json.a.b.c from test format Null; +select json, json.a.b.c from test order by id format Null; + +select count() from test where json.b.b.e is Null; +select count() from test where json.b.b.e.:String is Null; +select json.b.b.e from test format Null; +select json.b.b.e from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; +select json, json.b.b.e from test format Null; +select json, json.b.b.e from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; + +select count() from test where json.b.b.e is Null and json.a.b.d is Null ; +select count() from test where json.b.b.e.:String is Null and json.a.b.d.:Int64 is Null; +select json.b.b.e, json.a.b.d from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.b.b.e, json.a.b.d from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; + +select count() from test where json.b.b.e is Null and json.d.a is Null; +select count() from test where json.b.b.e.:String is Null and empty(json.d.a.:`Array(Nullable(Int64))`); +select json.b.b.e, json.d.a from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; +select json, json.b.b.e, json.d.a from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; + +select count() from test where json.b.b.e is Null and json.d.a is Null and json.d.b is Null; +select count() from test where json.b.b.e.:String is Null and empty(json.d.a.:`Array(Nullable(Int64))`) and json.d.b.:Int64 is Null; +select json.b.b.e, json.d.a, json.d.b from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.b.b.e, json.d.a, json.d.b from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; + +select count() from test where json.d.a is Null and json.d.b is Null; +select count() from test where empty(json.d.a.:`Array(Nullable(Int64))`) and json.d.b.:Int64 is Null; +select json.d.a, json.d.b from test order by id format Null; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.d.a, json.d.b from test order by id format Null; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; + +select count() from test where json.d.a is Null and json.b.b.`_1` is Null; +select count() from test where empty(json.d.a.:`Array(Nullable(Int64))`) and json.b.b.`_1`.:Int64 is Null; +select json.d.a, json.b.b.`_1` from test order by id format Null; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b.`_1`.:Date from test order by id format Null; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b, json.b.b.`_1`.:Date from test order by id format Null; +select json, json.d.a, json.b.b.`_1` from test order by id format Null; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b.`_1`.:Date from test order by id format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b, json.b.b.`_1`.:Date from test format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b, json.b.b.`_1`.:Date from test order by id format Null; + +select count() from test where empty(json.^a) and json.a.b.c == 0; +select json.^a, json.a.b.c from test order by id format Null; +select json, json.^a, json.a.b.c from test format Null; +select json, json.^a, json.a.b.c from test order by id format Null; + +select count() from test where empty(json.^a) and json.a.b.d is Null; +select json.^a, json.a.b.d from test order by id format Null; +select json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.^a, json.a.b.d from test order by id format Null; +select json, json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test format Null; +select json, json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; + +{% endfor -%} + +drop table test; \ No newline at end of file diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_2_memory.reference b/tests/queries/0_stateless/03207_json_read_subcolumns_2_memory.reference new file mode 100644 index 00000000000..1ef53fb5716 --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_2_memory.reference @@ -0,0 +1,33 @@ +('a.b.c','UInt32') +('a.b.d','Array(Nullable(String))') +('a.b.d','DateTime') +('a.b.d','Int64') +('a.b.e','String') +('b.b._0','Int64') +('b.b._1','Int64') +('b.b._2','Int64') +('b.b._3','Int64') +('b.b._4','Int64') +('b.b.d','Int64') +('b.b.e','String') +('d.a','Array(Nullable(Int64))') +('d.a','Int64') +('d.b','Int64') +('d.c','Date') +800000 +800000 +300000 +700000 +700000 +200000 +400000 +500000 +600000 +500000 +600000 +600000 +700000 +580000 +680000 +0 +0 diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_2_memory.sql b/tests/queries/0_stateless/03207_json_read_subcolumns_2_memory.sql new file mode 100644 index 00000000000..cc646987c80 --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_2_memory.sql @@ -0,0 +1,123 @@ +-- Tags: no-fasttest, long, no-debug, no-tsan, no-asan, no-msan, no-ubsan + +set allow_experimental_json_type = 1; +set allow_experimental_variant_type = 1; +set use_variant_as_common_type = 1; +set session_timezone = 'UTC'; + +drop table if exists test; +create table test (id UInt64, json JSON(max_dynamic_paths=2, a.b.c UInt32)) engine=Memory; + +truncate table test; +insert into test select number, '{}' from numbers(100000); +insert into test select number, toJSONString(map('a.b.c', number)) from numbers(100000, 100000); +insert into test select number, toJSONString(map('a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(200000, 100000); +insert into test select number, toJSONString(map('b.b.d', number::UInt32, 'b.b.e', 'str_' || toString(number))) from numbers(300000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(400000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number), 'b.b._' || toString(number % 5), number::UInt32)) from numbers(500000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', range(number % + 1)::Array(UInt32), 'a.b.e', 'str_' || toString(number), 'd.a', number::UInt32, 'd.c', toDate(number))) from numbers(600000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', toDateTime(number), 'a.b.e', 'str_' || toString(number), 'd.a', range(number % 5 + 1)::Array(UInt32), 'd.b', number::UInt32)) from numbers(700000, 100000); + +select distinct arrayJoin(JSONAllPathsWithTypes(json)) as paths_with_types from test order by paths_with_types; + +select json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test format Null; +select json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format Null; +select json, json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test format Null; +select json, json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format Null; + +select count() from test where json.non.existing.path is Null; +select count() from test where json.non.existing.path.:String is Null; +select json.non.existing.path from test order by id format Null; +select json.non.existing.path.:Int64 from test order by id format Null; +select json.non.existing.path, json.non.existing.path.:Int64 from test order by id format Null; +select json, json.non.existing.path from test order by id format Null; +select json, json.non.existing.path.:Int64 from test order by id format Null; +select json, json.non.existing.path, json.non.existing.path.:Int64 from test format Null; +select json, json.non.existing.path, json.non.existing.path.:Int64 from test order by id format Null; + +select count() from test where json.a.b.c == 0; +select json.a.b.c from test format Null; +select json.a.b.c from test order by id format Null; +select json, json.a.b.c from test format Null; +select json, json.a.b.c from test order by id format Null; + +select count() from test where json.b.b.e is Null; +select count() from test where json.b.b.e.:String is Null; +select json.b.b.e from test format Null; +select json.b.b.e from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; +select json, json.b.b.e from test format Null; +select json, json.b.b.e from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; + +select count() from test where json.b.b.e is Null and json.a.b.d is Null ; +select count() from test where json.b.b.e.:String is Null and json.a.b.d.:Int64 is Null; +select json.b.b.e, json.a.b.d from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.b.b.e, json.a.b.d from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; + +select count() from test where json.b.b.e is Null and json.d.a is Null; +select count() from test where json.b.b.e.:String is Null and empty(json.d.a.:`Array(Nullable(Int64))`); +select json.b.b.e, json.d.a from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; +select json, json.b.b.e, json.d.a from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; + +select count() from test where json.b.b.e is Null and json.d.a is Null and json.d.b is Null; +select count() from test where json.b.b.e.:String is Null and empty(json.d.a.:`Array(Nullable(Int64))`) and json.d.b.:Int64 is Null; +select json.b.b.e, json.d.a, json.d.b from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.b.b.e, json.d.a, json.d.b from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; + +select count() from test where json.d.a is Null and json.d.b is Null; +select count() from test where empty(json.d.a.:`Array(Nullable(Int64))`) and json.d.b.:Int64 is Null; +select json.d.a, json.d.b from test order by id format Null; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.d.a, json.d.b from test order by id format Null; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; + +select count() from test where json.d.a is Null and json.b.b.`_1` is Null; +select count() from test where empty(json.d.a.:`Array(Nullable(Int64))`) and json.b.b.`_1`.:Int64 is Null; +select json.d.a, json.b.b.`_1` from test order by id format Null; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b.`_1`.:Date from test order by id format Null; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b, json.b.b.`_1`.:Date from test order by id format Null; +select json, json.d.a, json.b.b.`_1` from test order by id format Null; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b.`_1`.:Date from test order by id format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b, json.b.b.`_1`.:Date from test format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b, json.b.b.`_1`.:Date from test order by id format Null; + +select count() from test where empty(json.^a) and json.a.b.c == 0; +select json.^a, json.a.b.c from test order by id format Null; +select json, json.^a, json.a.b.c from test format Null; +select json, json.^a, json.a.b.c from test order by id format Null; + +select count() from test where empty(json.^a) and json.a.b.d is Null; +select json.^a, json.a.b.d from test order by id format Null; +select json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.^a, json.a.b.d from test order by id format Null; +select json, json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test format Null; +select json, json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; + +drop table test; diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_2_wide_merge_tree.reference.j2 b/tests/queries/0_stateless/03207_json_read_subcolumns_2_wide_merge_tree.reference.j2 new file mode 100644 index 00000000000..e1e69879cfb --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_2_wide_merge_tree.reference.j2 @@ -0,0 +1,66 @@ +('a.b.c','UInt32') +('a.b.d','Array(Nullable(String))') +('a.b.d','DateTime') +('a.b.d','Int64') +('a.b.e','String') +('b.b._0','Int64') +('b.b._1','Int64') +('b.b._2','Int64') +('b.b._3','Int64') +('b.b._4','Int64') +('b.b.d','Int64') +('b.b.e','String') +('d.a','Array(Nullable(Int64))') +('d.a','Int64') +('d.b','Int64') +('d.c','Date') +800000 +800000 +300000 +700000 +700000 +200000 +400000 +500000 +600000 +500000 +600000 +600000 +700000 +580000 +680000 +0 +0 +('a.b.c','UInt32') +('a.b.d','Array(Nullable(String))') +('a.b.d','DateTime') +('a.b.d','Int64') +('a.b.e','String') +('b.b._0','Int64') +('b.b._1','Int64') +('b.b._2','Int64') +('b.b._3','Int64') +('b.b._4','Int64') +('b.b.d','Int64') +('b.b.e','String') +('d.a','Array(Nullable(Int64))') +('d.a','Int64') +('d.b','Int64') +('d.c','Date') +800000 +800000 +300000 +700000 +700000 +200000 +400000 +500000 +600000 +500000 +600000 +600000 +700000 +580000 +680000 +0 +0 diff --git a/tests/queries/0_stateless/03207_json_read_subcolumns_2_wide_merge_tree.sql.j2 b/tests/queries/0_stateless/03207_json_read_subcolumns_2_wide_merge_tree.sql.j2 new file mode 100644 index 00000000000..ab4e0437c15 --- /dev/null +++ b/tests/queries/0_stateless/03207_json_read_subcolumns_2_wide_merge_tree.sql.j2 @@ -0,0 +1,128 @@ +-- Tags: no-fasttest, long, no-debug, no-tsan, no-asan, no-msan, no-ubsan + +set allow_experimental_json_type = 1; +set allow_experimental_variant_type = 1; +set use_variant_as_common_type = 1; +set session_timezone = 'UTC'; + +drop table if exists test; +create table test (id UInt64, json JSON(max_dynamic_paths=2, a.b.c UInt32)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1; + +insert into test select number, '{}' from numbers(100000); +insert into test select number, toJSONString(map('a.b.c', number)) from numbers(100000, 100000); +insert into test select number, toJSONString(map('a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(200000, 100000); +insert into test select number, toJSONString(map('b.b.d', number::UInt32, 'b.b.e', 'str_' || toString(number))) from numbers(300000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number))) from numbers(400000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', number::UInt32, 'a.b.e', 'str_' || toString(number), 'b.b._' || toString(number % 5), number::UInt32)) from numbers(500000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', range(number % + 1)::Array(UInt32), 'a.b.e', 'str_' || toString(number), 'd.a', number::UInt32, 'd.c', toDate(number))) from numbers(600000, 100000); +insert into test select number, toJSONString(map('a.b.c', number, 'a.b.d', toDateTime(number), 'a.b.e', 'str_' || toString(number), 'd.a', range(number % 5 + 1)::Array(UInt32), 'd.b', number::UInt32)) from numbers(700000, 100000); + +{% for merge_command in ['system stop merges test', 'system start merges test'] -%} + +{{ merge_command }}; + +select distinct arrayJoin(JSONAllPathsWithTypes(json)) as paths_with_types from test order by paths_with_types; + +select json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test format Null; +select json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format Null; +select json, json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test format Null; +select json, json.non.existing.path, json.a.b.c, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:UUID, json.a.b.e, json.a.b.e.:String, json.a.b.e.:UUID, json.b.b.`_0`, json.b.b.`_0`.:Int64, json.b.b.`_0`.:UUID, json.b.b.`_1`, json.b.b.`_1`.:Int64, json.b.b.`_1`.:UUID, json.b.b.`_2`, json.b.b.`_2`.:Int64, json.b.b.`_2`.:UUID, json.b.b.`_3`, json.b.b.`_3`.:Int64, json.b.b.`_3`.:UUID, json.b.b.`_4`, json.b.b.`_4`.:Int64, json.b.b.`_4`.:UUID, json.b.b.d, json.b.b.d.:Int64, json.b.b.d.:UUID, json.b.b.e, json.b.b.e.:String, json.b.b.e.:UUID, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:UUID, json.d.b, json.d.b.:Int64, json.d.b.:UUID, json.d.c, json.d.c.:Date, json.d.c.:UUID, json.^n, json.^a, json.^a.b, json.^b, json.^d from test order by id format Null; + +select count() from test where json.non.existing.path is Null; +select count() from test where json.non.existing.path.:String is Null; +select json.non.existing.path from test order by id format Null; +select json.non.existing.path.:Int64 from test order by id format Null; +select json.non.existing.path, json.non.existing.path.:Int64 from test order by id format Null; +select json, json.non.existing.path from test order by id format Null; +select json, json.non.existing.path.:Int64 from test order by id format Null; +select json, json.non.existing.path, json.non.existing.path.:Int64 from test format Null; +select json, json.non.existing.path, json.non.existing.path.:Int64 from test order by id format Null; + +select count() from test where json.a.b.c == 0; +select json.a.b.c from test format Null; +select json.a.b.c from test order by id format Null; +select json, json.a.b.c from test format Null; +select json, json.a.b.c from test order by id format Null; + +select count() from test where json.b.b.e is Null; +select count() from test where json.b.b.e.:String is Null; +select json.b.b.e from test format Null; +select json.b.b.e from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; +select json, json.b.b.e from test format Null; +select json, json.b.b.e from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date from test order by id format Null; + +select count() from test where json.b.b.e is Null and json.a.b.d is Null ; +select count() from test where json.b.b.e.:String is Null and json.a.b.d.:Int64 is Null; +select json.b.b.e, json.a.b.d from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.b.b.e, json.a.b.d from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; + +select count() from test where json.b.b.e is Null and json.d.a is Null; +select count() from test where json.b.b.e.:String is Null and empty(json.d.a.:`Array(Nullable(Int64))`); +select json.b.b.e, json.d.a from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; +select json, json.b.b.e, json.d.a from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date from test order by id format Null; + +select count() from test where json.b.b.e is Null and json.d.a is Null and json.d.b is Null; +select count() from test where json.b.b.e.:String is Null and empty(json.d.a.:`Array(Nullable(Int64))`) and json.d.b.:Int64 is Null; +select json.b.b.e, json.d.a, json.d.b from test order by id format Null; +select json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.b.b.e, json.d.a, json.d.b from test order by id format Null; +select json, json.b.b.e.:String, json.b.b.e.:Date, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test format Null; +select json, json.b.b.e, json.b.b.e.:String, json.b.b.e.:Date, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; + +select count() from test where json.d.a is Null and json.d.b is Null; +select count() from test where empty(json.d.a.:`Array(Nullable(Int64))`) and json.d.b.:Int64 is Null; +select json.d.a, json.d.b from test order by id format Null; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.d.a, json.d.b from test order by id format Null; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.d.b, json.d.b.:Int64, json.d.b.:Date from test order by id format Null; + +select count() from test where json.d.a is Null and json.b.b.`_1` is Null; +select count() from test where empty(json.d.a.:`Array(Nullable(Int64))`) and json.b.b.`_1`.:Int64 is Null; +select json.d.a, json.b.b.`_1` from test order by id format Null; +select json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b.`_1`.:Date from test order by id format Null; +select json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b, json.b.b.`_1`.:Date from test order by id format Null; +select json, json.d.a, json.b.b.`_1` from test order by id format Null; +select json, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b.`_1`.:Date from test order by id format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b, json.b.b.`_1`.:Date from test format Null; +select json, json.d.a, json.d.a.:`Array(Nullable(Int64))`, json.d.a.:Date, json.b.b.`_1`.:Int64, json.b.b, json.b.b.`_1`.:Date from test order by id format Null; + +select count() from test where empty(json.^a) and json.a.b.c == 0; +select json.^a, json.a.b.c from test order by id format Null; +select json, json.^a, json.a.b.c from test format Null; +select json, json.^a, json.a.b.c from test order by id format Null; + +select count() from test where empty(json.^a) and json.a.b.d is Null; +select json.^a, json.a.b.d from test order by id format Null; +select json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.^a, json.a.b.d from test order by id format Null; +select json, json.^a, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; +select json, json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test format Null; +select json, json.^a, json.a.b.d, json.a.b.d.:Int64, json.a.b.d.:Date from test order by id format Null; + +{% endfor -%} + +drop table test; \ No newline at end of file diff --git a/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_1.reference.j2 b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_1.reference.j2 new file mode 100644 index 00000000000..0228ae1e7df --- /dev/null +++ b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_1.reference.j2 @@ -0,0 +1,545 @@ +('a.a1','String') +('a.a2','String') +('a.a3','String') +('a.a4','String') +('a.a5','String') +('a.a6','String') 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[], [], [], [], [], [], [], [], [{"d_0":"10"}], [{"d_0":"11"},{"d_1":"11"}], [{"d_0":"12"},{"d_1":"12"},{"d_2":"12"}], [{"d_0":"13"},{"d_1":"13"},{"d_2":"13"},{"d_3":"13"}], [{"d_0":"14"},{"d_1":"14"},{"d_2":"14"},{"d_3":"14"},{"d_4":"14"}], [{"d_0":"15"}], [{"d_0":"16"},{"d_1":"16"}], [{"d_0":"17"},{"d_1":"17"},{"d_2":"17"}], [{"d_0":"18"},{"d_1":"18"},{"d_2":"18"},{"d_3":"18"}], [{"d_0":"19"},{"d_1":"19"},{"d_2":"19"},{"d_3":"19"},{"d_4":"19"}]], + "json.a.r.:`Array(JSON)`.b.c.d_0.:`Int64`": [[], [], [], [], [], [], [], [], [], [], ["10"], ["11",null], ["12",null,null], ["13",null,null,null], ["14",null,null,null,null], ["15"], ["16",null], ["17",null,null], ["18",null,null,null], ["19",null,null,null,null]] +} diff --git a/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_1.sql.j2 b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_1.sql.j2 new file mode 100644 index 00000000000..1353980cd35 --- /dev/null +++ b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_1.sql.j2 @@ -0,0 +1,41 @@ +-- Tags: no-fasttest, long + +set allow_experimental_json_type = 1; +set allow_experimental_variant_type = 1; +set use_variant_as_common_type = 1; + +drop table if exists test; + +{% for create_command in ['create table test (id UInt64, json JSON(max_dynamic_paths=8, a.b Array(JSON))) engine=Memory;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=8, a.b Array(JSON))) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000; system stop merges test;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=8, a.b Array(JSON))) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000; system start merges test;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=8, a.b Array(JSON))) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1; system stop merges test;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=8, a.b Array(JSON))) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1; system start merges test;'] -%} + +{{ create_command }} + +insert into test select number, '{}' from numbers(5); +insert into test select number, toJSONString(map('a.b', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(5, 5); +insert into test select number, toJSONString(map('a.r', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(10, 5); +insert into test select number, toJSONString(map('a.a1', number, 'a.a2', number, 'a.a3', number, 'a.a4', number, 'a.a5', number, 'a.a6', number, 'a.a7', number, 'a.a8', number, 'a.r', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(15, 5); + +select distinct arrayJoin(JSONAllPathsWithTypes(json)) as paths_with_types from test order by paths_with_types; +select distinct arrayJoin(JSONAllPathsWithTypes(arrayJoin(json.a.b))) as paths_with_types from test order by paths_with_types; +select distinct arrayJoin(JSONAllPathsWithTypes(arrayJoin(json.a.r[]))) as paths_with_types from test order by paths_with_types; + +select json, json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test order by id format JSONColumns; +select json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test order by id format JSONColumns; + +select json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test order by id format JSONColumns; +select json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test order by id format JSONColumns; +select json.a.r, json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test order by id format JSONColumns; +select json.a.r, json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test order by id format JSONColumns; + +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test order by id format JSONColumns; +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test order by id format JSONColumns; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test order by id format JSONColumns; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test order by id format JSONColumns; + +drop table test; + +{% endfor -%} diff --git a/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_compact_merge_tree.reference.j2 b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_compact_merge_tree.reference.j2 new file mode 100644 index 00000000000..2fd3437e3d2 --- /dev/null +++ b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_compact_merge_tree.reference.j2 @@ -0,0 +1,60 @@ +('a.a1','String') +('a.a2','String') +('a.a3','String') +('a.a4','String') +('a.a5','String') +('a.a6','String') +('a.a7','String') +('a.a8','String') +('a.b','Array(JSON)') +('a.r','Array(JSON(max_dynamic_types=16, max_dynamic_paths=2))') +('b.c.d_0','Int64') +('b.c.d_1','Int64') +('b.c.d_2','Int64') +('b.c.d_3','Int64') +('b.c.d_4','Int64') +('c.d.e','Array(Nullable(Int64))') +('b.c.d_0','Int64') +('b.c.d_1','Int64') +('b.c.d_2','Int64') +('b.c.d_3','Int64') +('b.c.d_4','Int64') +('c.d.e','Array(Nullable(Int64))') +20000 +20000 +0 +0 +20000 +20000 +0 +0 +('a.a1','String') +('a.a2','String') +('a.a3','String') +('a.a4','String') +('a.a5','String') +('a.a6','String') +('a.a7','String') +('a.a8','String') +('a.b','Array(JSON)') +('a.r','Array(JSON(max_dynamic_types=16, max_dynamic_paths=2))') +('b.c.d_0','Int64') +('b.c.d_1','Int64') +('b.c.d_2','Int64') +('b.c.d_3','Int64') +('b.c.d_4','Int64') +('c.d.e','Array(Nullable(Int64))') +('b.c.d_0','Int64') +('b.c.d_1','Int64') +('b.c.d_2','Int64') +('b.c.d_3','Int64') +('b.c.d_4','Int64') +('c.d.e','Array(Nullable(Int64))') +20000 +20000 +0 +0 +20000 +20000 +0 +0 diff --git a/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_compact_merge_tree.sql.j2 b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_compact_merge_tree.sql.j2 new file mode 100644 index 00000000000..e3930165602 --- /dev/null +++ b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_compact_merge_tree.sql.j2 @@ -0,0 +1,57 @@ +-- Tags: no-fasttest, long, no-debug, no-tsan, no-asan, no-msan, no-ubsan + +set allow_experimental_json_type = 1; +set allow_experimental_variant_type = 1; +set use_variant_as_common_type = 1; + +create table test (id UInt64, json JSON(max_dynamic_paths=8, a.b Array(JSON))) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000; + +insert into test select number, '{}' from numbers(10000); +insert into test select number, toJSONString(map('a.b', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(10000, 10000); +insert into test select number, toJSONString(map('a.r', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(20000, 10000); +insert into test select number, toJSONString(map('a.a1', number, 'a.a2', number, 'a.a3', number, 'a.a4', number, 'a.a5', number, 'a.a6', number, 'a.a7', number, 'a.a8', number, 'a.r', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(30000, 10000); + +{% for merge_command in ['system stop merges test', 'system start merges test'] -%} + +{{ merge_command }}; + +select distinct arrayJoin(JSONAllPathsWithTypes(json)) as paths_with_types from test order by paths_with_types; +select distinct arrayJoin(JSONAllPathsWithTypes(arrayJoin(json.a.b))) as paths_with_types from test order by paths_with_types; +select distinct arrayJoin(JSONAllPathsWithTypes(arrayJoin(json.a.r[]))) as paths_with_types from test order by paths_with_types; + +select json, json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test format Null; +select json, json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test order by id format Null; +select json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test format Null; +select json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test order by id format Null; + +select count() from test where empty(json.a.r[].c.d.e) and empty(json.a.r[].b.c.d_0) and empty(json.a.r[].b.c.d_1); +select count() from test where empty(json.a.r[].c.d.e.:`Array(Nullable(Int64))`) and empty(json.a.r[].b.c.d_0.:Int64) and empty(json.a.r[].b.c.d_1.:Int64); +select count() from test where arrayJoin(json.a.r[].c.d.e) is null and arrayJoin(json.a.r[].b.c.d_0) is null and arrayJoin(json.a.r[].b.c.d_1) is null; +select count() from test where arrayJoin(json.a.r[].c.d.e.:`Array(Nullable(Int64))`) is null and arrayJoin(json.a.r[].b.c.d_0.:Int64) is null and arrayJoin(json.a.r[].b.c.d_1.:Int64) is null; + +select json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test format Null; +select json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test order by id format Null; +select json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test format Null; +select json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test order by id format Null; +select json.a.r, json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test format Null; +select json.a.r, json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test order by id format Null; +select json.a.r, json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test format Null; +select json.a.r, json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test order by id format Null; + +select count() from test where empty(json.a.r[].^b) and empty(json.a.r[].^b.c) and empty(json.a.r[].b.c.d_0); +select count() from test where empty(json.a.r[].^b) and empty(json.a.r[].^b.c) and empty(json.a.r[].b.c.d_0.:Int64); +select count() from test where empty(arrayJoin(json.a.r[].^b)) and empty(arrayJoin(json.a.r[].^b.c)) and arrayJoin(json.a.r[].b.c.d_0) is null; +select count() from test where empty(arrayJoin(json.a.r[].^b)) and empty(arrayJoin(json.a.r[].^b.c)) and arrayJoin(json.a.r[].b.c.d_0.:Int64) is null; + +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test format Null; +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test order by id format Null; +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test format Null; +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test order by id format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test order by id format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test order by id format Null; + +{% endfor -%} + +drop table test; diff --git a/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_memory.reference b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_memory.reference new file mode 100644 index 00000000000..34557cf60bb --- /dev/null +++ b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_memory.reference @@ -0,0 +1,30 @@ +('a.a1','String') +('a.a2','String') +('a.a3','String') +('a.a4','String') +('a.a5','String') +('a.a6','String') +('a.a7','String') +('a.a8','String') +('a.b','Array(JSON)') +('a.r','Array(JSON(max_dynamic_types=16, max_dynamic_paths=2))') +('b.c.d_0','Int64') +('b.c.d_1','Int64') +('b.c.d_2','Int64') +('b.c.d_3','Int64') +('b.c.d_4','Int64') +('c.d.e','Array(Nullable(Int64))') +('b.c.d_0','Int64') +('b.c.d_1','Int64') +('b.c.d_2','Int64') +('b.c.d_3','Int64') +('b.c.d_4','Int64') +('c.d.e','Array(Nullable(Int64))') +20000 +20000 +0 +0 +20000 +20000 +0 +0 diff --git a/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_memory.sql b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_memory.sql new file mode 100644 index 00000000000..9274b9b9cf7 --- /dev/null +++ b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_memory.sql @@ -0,0 +1,52 @@ +-- Tags: no-fasttest, long, no-debug, no-tsan, no-asan, no-msan, no-ubsan + +set allow_experimental_json_type = 1; +set allow_experimental_variant_type = 1; +set use_variant_as_common_type = 1; + +drop table if exists test; +create table test (id UInt64, json JSON(max_dynamic_paths=8, a.b Array(JSON))) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000; + +insert into test select number, '{}' from numbers(10000); +insert into test select number, toJSONString(map('a.b', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(10000, 10000); +insert into test select number, toJSONString(map('a.r', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(20000, 10000); +insert into test select number, toJSONString(map('a.a1', number, 'a.a2', number, 'a.a3', number, 'a.a4', number, 'a.a5', number, 'a.a6', number, 'a.a7', number, 'a.a8', number, 'a.r', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(30000, 10000); + +select distinct arrayJoin(JSONAllPathsWithTypes(json)) as paths_with_types from test order by paths_with_types; +select distinct arrayJoin(JSONAllPathsWithTypes(arrayJoin(json.a.b))) as paths_with_types from test order by paths_with_types; +select distinct arrayJoin(JSONAllPathsWithTypes(arrayJoin(json.a.r[]))) as paths_with_types from test order by paths_with_types; + +select json, json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test format Null; +select json, json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test order by id format Null; +select json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test format Null; +select json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test order by id format Null; + +select count() from test where empty(json.a.r[].c.d.e) and empty(json.a.r[].b.c.d_0) and empty(json.a.r[].b.c.d_1); +select count() from test where empty(json.a.r[].c.d.e.:`Array(Nullable(Int64))`) and empty(json.a.r[].b.c.d_0.:Int64) and empty(json.a.r[].b.c.d_1.:Int64); +select count() from test where arrayJoin(json.a.r[].c.d.e) is null and arrayJoin(json.a.r[].b.c.d_0) is null and arrayJoin(json.a.r[].b.c.d_1) is null; +select count() from test where arrayJoin(json.a.r[].c.d.e.:`Array(Nullable(Int64))`) is null and arrayJoin(json.a.r[].b.c.d_0.:Int64) is null and arrayJoin(json.a.r[].b.c.d_1.:Int64) is null; + +select json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test format Null; +select json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test order by id format Null; +select json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test format Null; +select json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test order by id format Null; +select json.a.r, json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test format Null; +select json.a.r, json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test order by id format Null; +select json.a.r, json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test format Null; +select json.a.r, json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test order by id format Null; + +select count() from test where empty(json.a.r[].^b) and empty(json.a.r[].^b.c) and empty(json.a.r[].b.c.d_0); +select count() from test where empty(json.a.r[].^b) and empty(json.a.r[].^b.c) and empty(json.a.r[].b.c.d_0.:Int64); +select count() from test where empty(arrayJoin(json.a.r[].^b)) and empty(arrayJoin(json.a.r[].^b.c)) and arrayJoin(json.a.r[].b.c.d_0) is null; +select count() from test where empty(arrayJoin(json.a.r[].^b)) and empty(arrayJoin(json.a.r[].^b.c)) and arrayJoin(json.a.r[].b.c.d_0.:Int64) is null; + +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test format Null; +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test order by id format Null; +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test format Null; +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test order by id format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test order by id format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test order by id format Null; + +drop table test; diff --git a/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_wide_merge_tree.reference.j2 b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_wide_merge_tree.reference.j2 new file mode 100644 index 00000000000..2fd3437e3d2 --- /dev/null +++ b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_wide_merge_tree.reference.j2 @@ -0,0 +1,60 @@ +('a.a1','String') +('a.a2','String') +('a.a3','String') +('a.a4','String') +('a.a5','String') +('a.a6','String') +('a.a7','String') +('a.a8','String') +('a.b','Array(JSON)') +('a.r','Array(JSON(max_dynamic_types=16, max_dynamic_paths=2))') +('b.c.d_0','Int64') +('b.c.d_1','Int64') +('b.c.d_2','Int64') +('b.c.d_3','Int64') +('b.c.d_4','Int64') +('c.d.e','Array(Nullable(Int64))') +('b.c.d_0','Int64') +('b.c.d_1','Int64') +('b.c.d_2','Int64') +('b.c.d_3','Int64') +('b.c.d_4','Int64') +('c.d.e','Array(Nullable(Int64))') +20000 +20000 +0 +0 +20000 +20000 +0 +0 +('a.a1','String') +('a.a2','String') +('a.a3','String') +('a.a4','String') +('a.a5','String') +('a.a6','String') +('a.a7','String') +('a.a8','String') +('a.b','Array(JSON)') +('a.r','Array(JSON(max_dynamic_types=16, max_dynamic_paths=2))') +('b.c.d_0','Int64') +('b.c.d_1','Int64') +('b.c.d_2','Int64') +('b.c.d_3','Int64') +('b.c.d_4','Int64') +('c.d.e','Array(Nullable(Int64))') +('b.c.d_0','Int64') +('b.c.d_1','Int64') +('b.c.d_2','Int64') +('b.c.d_3','Int64') +('b.c.d_4','Int64') +('c.d.e','Array(Nullable(Int64))') +20000 +20000 +0 +0 +20000 +20000 +0 +0 diff --git a/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_wide_merge_tree.sql.j2 b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_wide_merge_tree.sql.j2 new file mode 100644 index 00000000000..3010fa0e2de --- /dev/null +++ b/tests/queries/0_stateless/03208_array_of_json_read_subcolumns_2_wide_merge_tree.sql.j2 @@ -0,0 +1,57 @@ +-- Tags: no-fasttest, long, no-debug, no-tsan, no-asan, no-msan, no-ubsan + +set allow_experimental_json_type = 1; +set allow_experimental_variant_type = 1; +set use_variant_as_common_type = 1; + +create table test (id UInt64, json JSON(max_dynamic_paths=8, a.b Array(JSON))) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1; + +insert into test select number, '{}' from numbers(10000); +insert into test select number, toJSONString(map('a.b', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(10000, 10000); +insert into test select number, toJSONString(map('a.r', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(20000, 10000); +insert into test select number, toJSONString(map('a.a1', number, 'a.a2', number, 'a.a3', number, 'a.a4', number, 'a.a5', number, 'a.a6', number, 'a.a7', number, 'a.a8', number, 'a.r', arrayMap(x -> map('b.c.d_' || toString(x), number::UInt32, 'c.d.e', range((number + x) % 5 + 1)), range(number % 5 + 1)))) from numbers(30000, 10000); + +{% for merge_command in ['system stop merges test', 'system start merges test'] -%} + +{{ merge_command }}; + +select distinct arrayJoin(JSONAllPathsWithTypes(json)) as paths_with_types from test order by paths_with_types; +select distinct arrayJoin(JSONAllPathsWithTypes(arrayJoin(json.a.b))) as paths_with_types from test order by paths_with_types; +select distinct arrayJoin(JSONAllPathsWithTypes(arrayJoin(json.a.r[]))) as paths_with_types from test order by paths_with_types; + +select json, json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test format Null; +select json, json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test order by id format Null; +select json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test format Null; +select json.a.b, json.a.b.c, json.a.b.c.d.e, json.a.b.b.c.d_0, json.a.b.b.c.d_1, json.a.b.b.c.d_2, json.a.b.b.c.d_3, json.a.b.b.c.d_4, json.a.r, json.a.r[], json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1, json.a.r[].b.c.d_2, json.a.r[].b.c.d_3, json.a.r[].b.c.d_4, json.^a, json.a.b.^b.c, json.a.r[].^b.c from test order by id format Null; + +select count() from test where empty(json.a.r[].c.d.e) and empty(json.a.r[].b.c.d_0) and empty(json.a.r[].b.c.d_1); +select count() from test where empty(json.a.r[].c.d.e.:`Array(Nullable(Int64))`) and empty(json.a.r[].b.c.d_0.:Int64) and empty(json.a.r[].b.c.d_1.:Int64); +select count() from test where arrayJoin(json.a.r[].c.d.e) is null and arrayJoin(json.a.r[].b.c.d_0) is null and arrayJoin(json.a.r[].b.c.d_1) is null; +select count() from test where arrayJoin(json.a.r[].c.d.e.:`Array(Nullable(Int64))`) is null and arrayJoin(json.a.r[].b.c.d_0.:Int64) is null and arrayJoin(json.a.r[].b.c.d_1.:Int64) is null; + +select json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test format Null; +select json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test order by id format Null; +select json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test format Null; +select json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test order by id format Null; +select json.a.r, json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test format Null; +select json.a.r, json.a.r[].c.d.e, json.a.r[].b.c.d_0, json.a.r[].b.c.d_1 from test order by id format Null; +select json.a.r, json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test format Null; +select json.a.r, json.a.r[].c.d.e.:`Array(Nullable(Int64))`, json.a.r[].b.c.d_0.:Int64, json.a.r[].b.c.d_1.:Int64 from test order by id format Null; + +select count() from test where empty(json.a.r[].^b) and empty(json.a.r[].^b.c) and empty(json.a.r[].b.c.d_0); +select count() from test where empty(json.a.r[].^b) and empty(json.a.r[].^b.c) and empty(json.a.r[].b.c.d_0.:Int64); +select count() from test where empty(arrayJoin(json.a.r[].^b)) and empty(arrayJoin(json.a.r[].^b.c)) and arrayJoin(json.a.r[].b.c.d_0) is null; +select count() from test where empty(arrayJoin(json.a.r[].^b)) and empty(arrayJoin(json.a.r[].^b.c)) and arrayJoin(json.a.r[].b.c.d_0.:Int64) is null; + +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test format Null; +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test order by id format Null; +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test format Null; +select json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test order by id format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0 from test order by id format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test format Null; +select json.a.r, json.a.r[].^b, json.a.r[].^b.c, json.a.r[].b.c.d_0.:Int64 from test order by id format Null; + +{% endfor -%} + +drop table test; diff --git a/tests/queries/0_stateless/03209_json_type_horizontal_merges.reference.j2 b/tests/queries/0_stateless/03209_json_type_horizontal_merges.reference.j2 new file mode 100644 index 00000000000..ea4e1da7181 --- /dev/null +++ b/tests/queries/0_stateless/03209_json_type_horizontal_merges.reference.j2 @@ -0,0 +1,136 @@ +create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_columns_to_activate=10; +Dynamic paths +100000 a +90000 b +80000 c +70000 d +60000 e +Shared data paths +Dynamic paths +100000 a +90000 b +80000 c +Shared data paths +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +80000 c +Shared data paths +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +Shared data paths +80000 c +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +10000 g +Shared data paths +80000 c +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +Shared data paths +80000 c +70000 d +60000 e +10000 g +Dynamic paths +200000 f +100000 a +90000 b +40000 c +Shared data paths +80000 c +70000 d +60000 e +10000 g +Dynamic paths +200000 f +120000 c +100000 a +Shared data paths +90000 b +70000 d +60000 e +10000 g +create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_columns_to_activate=10; +Dynamic paths +100000 a +90000 b +80000 c +70000 d +60000 e +Shared data paths +Dynamic paths +100000 a +90000 b +80000 c +Shared data paths +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +80000 c +Shared data paths +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +Shared data paths +80000 c +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +10000 g +Shared data paths +80000 c +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +Shared data paths +80000 c +70000 d +60000 e +10000 g +Dynamic paths +200000 f +100000 a +90000 b +40000 c +Shared data paths +80000 c +70000 d +60000 e +10000 g +Dynamic paths +200000 f +120000 c +100000 a +Shared data paths +90000 b +70000 d +60000 e +10000 g diff --git a/tests/queries/0_stateless/03209_json_type_horizontal_merges.sql.j2 b/tests/queries/0_stateless/03209_json_type_horizontal_merges.sql.j2 new file mode 100644 index 00000000000..cc143e4ceef --- /dev/null +++ b/tests/queries/0_stateless/03209_json_type_horizontal_merges.sql.j2 @@ -0,0 +1,74 @@ +-- Tags: no-fasttest, long, no-debug, no-tsan, no-asan, no-msan, no-ubsan + +set allow_experimental_json_type = 1; + +drop table if exists test; + +{% for create_command in ['create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_columns_to_activate=10;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_columns_to_activate=10;'] -%} + +select '{{ create_command }}'; + +{{ create_command }} + +system stop merges test; +insert into test select number, toJSONString(map('a', number)) from numbers(100000); +insert into test select number, toJSONString(map('b', number)) from numbers(90000); +insert into test select number, toJSONString(map('c', number)) from numbers(80000); +insert into test select number, toJSONString(map('d', number)) from numbers(70000); +insert into test select number, toJSONString(map('e', number)) from numbers(60000); +insert into test select number, '{}' from numbers(100000); + +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('f', number)) from numbers(200000); +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('g', number)) from numbers(10000); +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('c', number)) from numbers(40000); +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +drop table test; + +{% endfor -%} diff --git a/tests/queries/0_stateless/03209_json_type_merges_small.reference.j2 b/tests/queries/0_stateless/03209_json_type_merges_small.reference.j2 new file mode 100644 index 00000000000..f953dee10fe --- /dev/null +++ b/tests/queries/0_stateless/03209_json_type_merges_small.reference.j2 @@ -0,0 +1,272 @@ +create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_columns_to_activate=10; +Dynamic paths +10 a +9 b +8 c +7 d +6 e +Shared data paths +Dynamic paths +10 a +9 b +8 c +Shared data paths +7 d +6 e +Dynamic paths +20 f +10 a +9 b +8 c +Shared data paths +7 d +6 e +Dynamic paths +20 f +10 a +9 b +Shared data paths +8 c +7 d +6 e +Dynamic paths +20 f +10 a +9 b +1 g +Shared data paths +8 c +7 d +6 e +Dynamic paths +20 f +10 a +9 b +Shared data paths +8 c +7 d +6 e +1 g +Dynamic paths +20 f +10 a +9 b +4 c +Shared data paths +8 c +7 d +6 e +1 g +Dynamic paths +20 f +12 c +10 a +Shared data paths +9 b +7 d +6 e +1 g +create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_columns_to_activate=10; +Dynamic paths +10 a +9 b +8 c +7 d +6 e +Shared data paths +Dynamic paths +10 a +9 b +8 c +Shared data paths +7 d +6 e +Dynamic paths +20 f +10 a +9 b +8 c +Shared data paths +7 d +6 e +Dynamic paths +20 f +10 a +9 b +Shared data paths +8 c +7 d +6 e +Dynamic paths +20 f +10 a +9 b +1 g +Shared data paths +8 c +7 d +6 e +Dynamic paths +20 f +10 a +9 b +Shared data paths +8 c +7 d +6 e +1 g +Dynamic paths +20 f +10 a +9 b +4 c +Shared data paths +8 c +7 d +6 e +1 g +Dynamic paths +20 f +12 c +10 a +Shared data paths +9 b +7 d +6 e +1 g +create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_columns_to_activate=1; +Dynamic paths +10 a +9 b +8 c +7 d +6 e +Shared data paths +Dynamic paths +10 a +9 b +8 c +Shared data paths +7 d +6 e +Dynamic paths +20 f +10 a +9 b +8 c +Shared data paths +7 d +6 e +Dynamic paths +20 f +10 a +9 b +Shared data paths +8 c +7 d +6 e +Dynamic paths +20 f +10 a +9 b +1 g +Shared data paths +8 c +7 d +6 e +Dynamic paths +20 f +10 a +9 b +Shared data paths +8 c +7 d +6 e +1 g +Dynamic paths +20 f +10 a +9 b +4 c +Shared data paths +8 c +7 d +6 e +1 g +Dynamic paths +20 f +12 c +10 a +Shared data paths +9 b +7 d +6 e +1 g +create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_columns_to_activate=1; +Dynamic paths +10 a +9 b +8 c +7 d +6 e +Shared data paths +Dynamic paths +10 a +9 b +8 c +Shared data paths +7 d +6 e +Dynamic paths +20 f +10 a +9 b +8 c +Shared data paths +7 d +6 e +Dynamic paths +20 f +10 a +9 b +Shared data paths +8 c +7 d +6 e +Dynamic paths +20 f +10 a +9 b +1 g +Shared data paths +8 c +7 d +6 e +Dynamic paths +20 f +10 a +9 b +Shared data paths +8 c +7 d +6 e +1 g +Dynamic paths +20 f +10 a +9 b +4 c +Shared data paths +8 c +7 d +6 e +1 g +Dynamic paths +20 f +12 c +10 a +Shared data paths +9 b +7 d +6 e +1 g diff --git a/tests/queries/0_stateless/03209_json_type_merges_small.sql.j2 b/tests/queries/0_stateless/03209_json_type_merges_small.sql.j2 new file mode 100644 index 00000000000..e4b64ac7561 --- /dev/null +++ b/tests/queries/0_stateless/03209_json_type_merges_small.sql.j2 @@ -0,0 +1,76 @@ +-- Tags: no-fasttest, long, no-debug, no-tsan, no-asan, no-msan, no-ubsan + +set allow_experimental_json_type = 1; + +drop table if exists test; + +{% for create_command in ['create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_columns_to_activate=10;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_columns_to_activate=10;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_columns_to_activate=1;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_columns_to_activate=1;'] -%} + +select '{{ create_command }}'; + +{{ create_command }} + +system stop merges test; +insert into test select number, toJSONString(map('a', number)) from numbers(10); +insert into test select number, toJSONString(map('b', number)) from numbers(9); +insert into test select number, toJSONString(map('c', number)) from numbers(8); +insert into test select number, toJSONString(map('d', number)) from numbers(7); +insert into test select number, toJSONString(map('e', number)) from numbers(6); +insert into test select number, '{}' from numbers(100000); + +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('f', number)) from numbers(20); +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('g', number)) from numbers(1); +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('c', number)) from numbers(4); +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +drop table test; + +{% endfor -%} diff --git a/tests/queries/0_stateless/03209_json_type_vertical_merges.reference.j2 b/tests/queries/0_stateless/03209_json_type_vertical_merges.reference.j2 new file mode 100644 index 00000000000..d292b1454c6 --- /dev/null +++ b/tests/queries/0_stateless/03209_json_type_vertical_merges.reference.j2 @@ -0,0 +1,136 @@ +create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_columns_to_activate=1; +Dynamic paths +100000 a +90000 b +80000 c +70000 d +60000 e +Shared data paths +Dynamic paths +100000 a +90000 b +80000 c +Shared data paths +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +80000 c +Shared data paths +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +Shared data paths +80000 c +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +10000 g +Shared data paths +80000 c +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +Shared data paths +80000 c +70000 d +60000 e +10000 g +Dynamic paths +200000 f +100000 a +90000 b +40000 c +Shared data paths +80000 c +70000 d +60000 e +10000 g +Dynamic paths +200000 f +120000 c +100000 a +Shared data paths +90000 b +70000 d +60000 e +10000 g +create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_columns_to_activate=1; +Dynamic paths +100000 a +90000 b +80000 c +70000 d +60000 e +Shared data paths +Dynamic paths +100000 a +90000 b +80000 c +Shared data paths +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +80000 c +Shared data paths +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +Shared data paths +80000 c +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +10000 g +Shared data paths +80000 c +70000 d +60000 e +Dynamic paths +200000 f +100000 a +90000 b +Shared data paths +80000 c +70000 d +60000 e +10000 g +Dynamic paths +200000 f +100000 a +90000 b +40000 c +Shared data paths +80000 c +70000 d +60000 e +10000 g +Dynamic paths +200000 f +120000 c +100000 a +Shared data paths +90000 b +70000 d +60000 e +10000 g diff --git a/tests/queries/0_stateless/03209_json_type_vertical_merges.sql.j2 b/tests/queries/0_stateless/03209_json_type_vertical_merges.sql.j2 new file mode 100644 index 00000000000..e427db7677f --- /dev/null +++ b/tests/queries/0_stateless/03209_json_type_vertical_merges.sql.j2 @@ -0,0 +1,74 @@ +-- Tags: no-fasttest, long, no-debug, no-tsan, no-asan, no-msan, no-ubsan + +set allow_experimental_json_type = 1; + +drop table if exists test; + +{% for create_command in ['create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_columns_to_activate=1;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_columns_to_activate=1;'] -%} + +select '{{ create_command }}'; + +{{ create_command }} + +system stop merges test; +insert into test select number, toJSONString(map('a', number)) from numbers(100000); +insert into test select number, toJSONString(map('b', number)) from numbers(90000); +insert into test select number, toJSONString(map('c', number)) from numbers(80000); +insert into test select number, toJSONString(map('d', number)) from numbers(70000); +insert into test select number, toJSONString(map('e', number)) from numbers(60000); +insert into test select number, '{}' from numbers(100000); + +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('f', number)) from numbers(200000); +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('g', number)) from numbers(10000); +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('c', number)) from numbers(40000); +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(json)) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(json)) as path from test group by path order by count() desc, path; + +drop table test; + +{% endfor -%} diff --git a/tests/queries/0_stateless/03210_json_type_alter_add_column.reference.j2 b/tests/queries/0_stateless/03210_json_type_alter_add_column.reference.j2 new file mode 100644 index 00000000000..37b6854938a --- /dev/null +++ b/tests/queries/0_stateless/03210_json_type_alter_add_column.reference.j2 @@ -0,0 +1,72 @@ +initial insert +alter add column 1 +0 {} \N {} \N \N +1 {} \N {} \N \N +2 {} \N {} \N \N +insert after alter add column +3 a.b +3 b.c +3 c.d +0 {} \N {} \N \N +1 {} \N {} \N \N +2 {} \N {} \N \N +3 {"a":{"b":"3"}} 3 {"b":"3"} \N \N +4 {"a":{"b":"4"}} 4 {"b":"4"} \N \N +5 {"a":{"b":"5"}} 5 {"b":"5"} \N \N +6 {"b":{"c":"6"}} \N {} 6 \N +7 {"b":{"c":"7"}} \N {} 7 \N +8 {"b":{"c":"8"}} \N {} 8 \N +9 {"c":{"d":"9"}} \N {} \N 9 +10 {"c":{"d":"10"}} \N {} \N 10 +11 {"c":{"d":"11"}} \N {} \N 11 +12 {} \N {} \N \N +13 {} \N {} \N \N +14 {} \N {} \N \N +initial insert +alter add column 1 +0 {} \N {} \N \N +1 {} \N {} \N \N +2 {} \N {} \N \N +insert after alter add column +3 a.b +3 b.c +3 c.d +0 {} \N {} \N \N +1 {} \N {} \N \N +2 {} \N {} \N \N +3 {"a":{"b":"3"}} 3 {"b":"3"} \N \N +4 {"a":{"b":"4"}} 4 {"b":"4"} \N \N +5 {"a":{"b":"5"}} 5 {"b":"5"} \N \N +6 {"b":{"c":"6"}} \N {} 6 \N +7 {"b":{"c":"7"}} \N {} 7 \N +8 {"b":{"c":"8"}} \N {} 8 \N +9 {"c":{"d":"9"}} \N {} \N 9 +10 {"c":{"d":"10"}} \N {} \N 10 +11 {"c":{"d":"11"}} \N {} \N 11 +12 {} \N {} \N \N +13 {} \N {} \N \N +14 {} \N {} \N \N +initial insert +alter add column 1 +0 {} \N {} \N \N +1 {} \N {} \N \N +2 {} \N {} \N \N +insert after alter add column +3 a.b +3 b.c +3 c.d +0 {} \N {} \N \N +1 {} \N {} \N \N +2 {} \N {} \N \N +3 {"a":{"b":"3"}} 3 {"b":"3"} \N \N +4 {"a":{"b":"4"}} 4 {"b":"4"} \N \N +5 {"a":{"b":"5"}} 5 {"b":"5"} \N \N +6 {"b":{"c":"6"}} \N {} 6 \N +7 {"b":{"c":"7"}} \N {} 7 \N +8 {"b":{"c":"8"}} \N {} 8 \N +9 {"c":{"d":"9"}} \N {} \N 9 +10 {"c":{"d":"10"}} \N {} \N 10 +11 {"c":{"d":"11"}} \N {} \N 11 +12 {} \N {} \N \N +13 {} \N {} \N \N +14 {} \N {} \N \N diff --git a/tests/queries/0_stateless/03210_json_type_alter_add_column.sql.j2 b/tests/queries/0_stateless/03210_json_type_alter_add_column.sql.j2 new file mode 100644 index 00000000000..add57928804 --- /dev/null +++ b/tests/queries/0_stateless/03210_json_type_alter_add_column.sql.j2 @@ -0,0 +1,34 @@ +-- Tags: no-fasttest, long + +set allow_experimental_dynamic_type = 1; +set allow_experimental_variant_type = 1; +set allow_experimental_json_type = 1; +set use_variant_as_common_type = 1; + +drop table if exists test; + +{% for create_command in ['create table test (x UInt64) engine=Memory;', + 'create table test (x UInt64) engine=MergeTree order by x settings min_rows_for_wide_part=100000000, min_bytes_for_wide_part=1000000000;', + 'create table test (x UInt64) engine=MergeTree order by x settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1;'] -%} + +{{ create_command }} + +select 'initial insert'; +insert into test select number from numbers(3); + +select 'alter add column 1'; +alter table test add column json JSON settings mutations_sync=1; +select count(), arrayJoin(JSONAllPaths(json)) as path from test group by path order by count() desc, path; +select x, json, json.a.b, json.^a, json.b.c.:Int64, json.c.d from test order by x; + +select 'insert after alter add column'; +insert into test select number, toJSONString(map('a.b', number::UInt32)) from numbers(3, 3); +insert into test select number, toJSONString(map('b.c', number::UInt32)) from numbers(6, 3); +insert into test select number, toJSONString(map('c.d', number::UInt32)) from numbers(9, 3); +insert into test select number, '{}' from numbers(12, 3); +select count(), arrayJoin(JSONAllPaths(json)) as path from test group by path order by count() desc, path; +select x, json, json.a.b, json.^a, json.b.c.:Int64, json.c.d from test order by x; + +drop table test; + +{% endfor -%} diff --git a/tests/queries/0_stateless/03211_nested_json_merges.reference.j2 b/tests/queries/0_stateless/03211_nested_json_merges.reference.j2 new file mode 100644 index 00000000000..9b6ed82abed --- /dev/null +++ b/tests/queries/0_stateless/03211_nested_json_merges.reference.j2 @@ -0,0 +1,136 @@ +create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000; +Dynamic paths +300000 c +150000 d +Shared data paths +Dynamic paths +300000 c +Shared data paths +150000 d +Dynamic paths +600000 f +300000 c +150000 e +Shared data paths +150000 d +Dynamic paths +600000 f +Shared data paths +300000 c +150000 d +150000 e +Dynamic paths +600000 f +450000 c +Shared data paths +300000 c +150000 d +150000 e +Dynamic paths +750000 c +Shared data paths +600000 f +150000 d +150000 e +create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1; +Dynamic paths +300000 c +150000 d +Shared data paths +Dynamic paths +300000 c +Shared data paths +150000 d +Dynamic paths +600000 f +300000 c +150000 e +Shared data paths +150000 d +Dynamic paths +600000 f +Shared data paths +300000 c +150000 d +150000 e +Dynamic paths +600000 f +450000 c +Shared data paths +300000 c +150000 d +150000 e +Dynamic paths +750000 c +Shared data paths +600000 f +150000 d +150000 e +create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1; +Dynamic paths +300000 c +150000 d +Shared data paths +Dynamic paths +300000 c +Shared data paths +150000 d +Dynamic paths +600000 f +300000 c +150000 e +Shared data paths +150000 d +Dynamic paths +600000 f +Shared data paths +300000 c +150000 d +150000 e +Dynamic paths +600000 f +450000 c +Shared data paths +300000 c +150000 d +150000 e +Dynamic paths +750000 c +Shared data paths +600000 f +150000 d +150000 e +create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1; +Dynamic paths +300000 c +150000 d +Shared data paths +Dynamic paths +300000 c +Shared data paths +150000 d +Dynamic paths +600000 f +300000 c +150000 e +Shared data paths +150000 d +Dynamic paths +600000 f +Shared data paths +300000 c +150000 d +150000 e +Dynamic paths +600000 f +450000 c +Shared data paths +300000 c +150000 d +150000 e +Dynamic paths +750000 c +Shared data paths +600000 f +150000 d +150000 e diff --git a/tests/queries/0_stateless/03211_nested_json_merges.sql.j2 b/tests/queries/0_stateless/03211_nested_json_merges.sql.j2 new file mode 100644 index 00000000000..0af998e22bb --- /dev/null +++ b/tests/queries/0_stateless/03211_nested_json_merges.sql.j2 @@ -0,0 +1,63 @@ +-- Tags: no-fasttest, long, no-tsan, no-asan, no-msan, no-ubsan + +set allow_experimental_json_type = 1; + +drop table if exists test; + +{% for create_command in ['create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1;'] -%} + +select '{{ create_command }}'; + +{{ create_command }} + +system stop merges test; +insert into test select number, toJSONString(map('a', number)) from numbers(100000); +insert into test select number, toJSONString(map('b', arrayMap(x -> map('c', x), range(number % 5 + 1)))) from numbers(100000); +insert into test select number, toJSONString(map('b', arrayMap(x -> map('d', x), range(number % 5 + 1)))) from numbers(50000); + +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('b', arrayMap(x -> map('e', x), range(number % 5 + 1)))) from numbers(50000); +insert into test select number, toJSONString(map('b', arrayMap(x -> map('f', x), range(number % 5 + 1)))) from numbers(200000); + +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('b', arrayMap(x -> map('c', x), range(number % 5 + 1)))) from numbers(150000); + +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; + +drop table test; + +{% endfor -%} diff --git a/tests/queries/0_stateless/03211_nested_json_merges_small.reference.j2 b/tests/queries/0_stateless/03211_nested_json_merges_small.reference.j2 new file mode 100644 index 00000000000..76339dba3e3 --- /dev/null +++ b/tests/queries/0_stateless/03211_nested_json_merges_small.reference.j2 @@ -0,0 +1,136 @@ +create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000; +Dynamic paths +30 c +15 d +Shared data paths +Dynamic paths +30 c +Shared data paths +15 d +Dynamic paths +60 f +30 c +15 e +Shared data paths +15 d +Dynamic paths +60 f +Shared data paths +30 c +15 d +15 e +Dynamic paths +60 f +45 c +Shared data paths +30 c +15 d +15 e +Dynamic paths +75 c +Shared data paths +60 f +15 d +15 e +create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1; +Dynamic paths +30 c +15 d +Shared data paths +Dynamic paths +30 c +Shared data paths +15 d +Dynamic paths +60 f +30 c +15 e +Shared data paths +15 d +Dynamic paths +60 f +Shared data paths +30 c +15 d +15 e +Dynamic paths +60 f +45 c +Shared data paths +30 c +15 d +15 e +Dynamic paths +75 c +Shared data paths +60 f +15 d +15 e +create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1; +Dynamic paths +30 c +15 d +Shared data paths +Dynamic paths +30 c +Shared data paths +15 d +Dynamic paths +60 f +30 c +15 e +Shared data paths +15 d +Dynamic paths +60 f +Shared data paths +30 c +15 d +15 e +Dynamic paths +60 f +45 c +Shared data paths +30 c +15 d +15 e +Dynamic paths +75 c +Shared data paths +60 f +15 d +15 e +create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1; +Dynamic paths +30 c +15 d +Shared data paths +Dynamic paths +30 c +Shared data paths +15 d +Dynamic paths +60 f +30 c +15 e +Shared data paths +15 d +Dynamic paths +60 f +Shared data paths +30 c +15 d +15 e +Dynamic paths +60 f +45 c +Shared data paths +30 c +15 d +15 e +Dynamic paths +75 c +Shared data paths +60 f +15 d +15 e diff --git a/tests/queries/0_stateless/03211_nested_json_merges_small.sql.j2 b/tests/queries/0_stateless/03211_nested_json_merges_small.sql.j2 new file mode 100644 index 00000000000..86e5a6c71c9 --- /dev/null +++ b/tests/queries/0_stateless/03211_nested_json_merges_small.sql.j2 @@ -0,0 +1,63 @@ +-- Tags: no-fasttest, long, no-tsan, no-asan, no-msan, no-ubsan + +set allow_experimental_json_type = 1; + +drop table if exists test; + +{% for create_command in ['create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1;', + 'create table test (id UInt64, json JSON(max_dynamic_paths=4)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1;'] -%} + +select '{{ create_command }}'; + +{{ create_command }} + +system stop merges test; +insert into test select number, toJSONString(map('a', number)) from numbers(10); +insert into test select number, toJSONString(map('b', arrayMap(x -> map('c', x), range(number % 5 + 1)))) from numbers(10); +insert into test select number, toJSONString(map('b', arrayMap(x -> map('d', x), range(number % 5 + 1)))) from numbers(5); + +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('b', arrayMap(x -> map('e', x), range(number % 5 + 1)))) from numbers(5); +insert into test select number, toJSONString(map('b', arrayMap(x -> map('f', x), range(number % 5 + 1)))) from numbers(20); + +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; + +system stop merges test; +insert into test select number, toJSONString(map('b', arrayMap(x -> map('c', x), range(number % 5 + 1)))) from numbers(15); + +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +system start merges test; +optimize table test final; +select 'Dynamic paths'; +select count(), arrayJoin(JSONDynamicPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; +select 'Shared data paths'; +select count(), arrayJoin(JSONSharedDataPaths(arrayJoin(json.b[]))) as path from test group by path order by count() desc, path; + +drop table test; + +{% endfor -%} diff --git a/tests/queries/0_stateless/03214_json_typed_dynamic_path.reference b/tests/queries/0_stateless/03214_json_typed_dynamic_path.reference new file mode 100644 index 00000000000..1b3e6b7a8db --- /dev/null +++ b/tests/queries/0_stateless/03214_json_typed_dynamic_path.reference @@ -0,0 +1,4 @@ +{"a":"42"} +{"a":["1","2","3"]} +{"a":"42"} +{"a":["1","2","3"]} diff --git a/tests/queries/0_stateless/03214_json_typed_dynamic_path.sql b/tests/queries/0_stateless/03214_json_typed_dynamic_path.sql new file mode 100644 index 00000000000..1f6a025825a --- /dev/null +++ b/tests/queries/0_stateless/03214_json_typed_dynamic_path.sql @@ -0,0 +1,17 @@ +-- Tags: no-fasttest + +set allow_experimental_json_type = 1; +drop table if exists test; +create table test (json JSON(a Dynamic)) engine=MergeTree order by tuple() settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1; +insert into test select '{"a" : 42}'; +insert into test select '{"a" : [1, 2, 3]}'; +optimize table test; +select * from test order by toString(json); +drop table test; + +create table test (json JSON(a Dynamic)) engine=MergeTree order by tuple() settings min_rows_for_wide_part=10000000, min_bytes_for_wide_part=10000000; +insert into test select '{"a" : 42}'; +insert into test select '{"a" : [1, 2, 3]}'; +optimize table test; +select * from test order by toString(json); +drop table test; diff --git a/tests/queries/0_stateless/03222_json_squashing.reference b/tests/queries/0_stateless/03222_json_squashing.reference new file mode 100644 index 00000000000..d0c19d8239a --- /dev/null +++ b/tests/queries/0_stateless/03222_json_squashing.reference @@ -0,0 +1,102 @@ +All paths +a +b +c +d +Dynamic paths +a +b +c +d +Shared data paths +All paths +a +b +c +d +e +f +Dynamic paths +a +b +c +d +e +f +Shared data paths +All paths +a +b +c +d +Dynamic paths +c +d +Shared data paths +a +b +All paths +a +b +c +d +e +f +Dynamic paths +a +b +Shared data paths +c +d +e +f +All paths +a +b +c +d +e +Dynamic paths +a +e +Shared data paths +b +c +d +All paths +b +c +d +e +Dynamic paths +d +e +Shared data paths +b +c +All paths +b +c +d +e +f +g +Dynamic paths +b +c +Shared data paths +d +e +f +g +All paths +b +d +e +f +Dynamic paths +b +f +Shared data paths +d +e diff --git a/tests/queries/0_stateless/03222_json_squashing.sql b/tests/queries/0_stateless/03222_json_squashing.sql new file mode 100644 index 00000000000..53090c5cb88 --- /dev/null +++ b/tests/queries/0_stateless/03222_json_squashing.sql @@ -0,0 +1,82 @@ +-- Tags: long + +set allow_experimental_json_type = 1; +set max_block_size = 1000; + +drop table if exists test; + +create table test (json JSON) engine=MergeTree order by tuple(); +insert into test select multiIf(number < 1000, '{}'::JSON, number < 3000, '{"a" : 42, "b" : "Hello"}'::JSON, '{"c" : [1, 2, 3], "d" : "2020-01-01"}'::JSON) from numbers(20000); +select 'All paths'; +select distinct arrayJoin(JSONAllPaths(json)) as path from test order by path; +select 'Dynamic paths'; +select distinct arrayJoin(JSONDynamicPaths(json)) as path from test order by path; +select 'Shared data paths'; +select distinct arrayJoin(JSONSharedDataPaths(json)) as path from test order by path; + +truncate table test; +insert into test select multiIf(number < 1000, '{"a" : 42, "b" : "Hello"}'::JSON, number < 3000, '{"c" : [1, 2, 3], "d" : "2020-01-01"}'::JSON, '{"e" : 43, "f" : ["s1", "s2", "s3"]}'::JSON) from numbers(20000); +select 'All paths'; +select distinct arrayJoin(JSONAllPaths(json)) as path from test order by path; +select 'Dynamic paths'; +select distinct arrayJoin(JSONDynamicPaths(json)) as path from test order by path; +select 'Shared data paths'; +select distinct arrayJoin(JSONSharedDataPaths(json)) as path from test order by path; + +drop table test; +create table test (json JSON(max_dynamic_paths=2)) engine=MergeTree order by tuple(); +insert into test select multiIf(number < 1000, '{}'::JSON(max_dynamic_paths=2), number < 3000, '{"a" : 42, "b" : "Hello"}'::JSON(max_dynamic_paths=2), '{"c" : [1, 2, 3], "d" : "2020-01-01"}'::JSON(max_dynamic_paths=2)) from numbers(20000); +select 'All paths'; +select distinct arrayJoin(JSONAllPaths(json)) as path from test order by path; +select 'Dynamic paths'; +select distinct arrayJoin(JSONDynamicPaths(json)) as path from test order by path; +select 'Shared data paths'; +select distinct arrayJoin(JSONSharedDataPaths(json)) as path from test order by path; + +truncate table test; +insert into test select multiIf(number < 1000, '{"a" : 42, "b" : "Hello"}'::JSON(max_dynamic_paths=2), number < 3000, '{"c" : [1, 2, 3], "d" : "2020-01-01"}'::JSON(max_dynamic_paths=2), '{"e" : 43, "f" : ["s1", "s2", "s3"]}'::JSON(max_dynamic_paths=2)) from numbers(20000); +select 'All paths'; +select distinct arrayJoin(JSONAllPaths(json)) as path from test order by path; +select 'Dynamic paths'; +select distinct arrayJoin(JSONDynamicPaths(json)) as path from test order by path; +select 'Shared data paths'; +select distinct arrayJoin(JSONSharedDataPaths(json)) as path from test order by path; + +truncate table test; +insert into test select multiIf(number < 1000, '{"a" : 42}'::JSON(max_dynamic_paths=2), number < 3000, '{"b" : "Hello", "c" : [1, 2, 3], "d" : "2020-01-01"}'::JSON(max_dynamic_paths=2), '{"e" : 43}'::JSON(max_dynamic_paths=2)) from numbers(20000); +select 'All paths'; +select distinct arrayJoin(JSONAllPaths(json)) as path from test order by path; +select 'Dynamic paths'; +select distinct arrayJoin(JSONDynamicPaths(json)) as path from test order by path; +select 'Shared data paths'; +select distinct arrayJoin(JSONSharedDataPaths(json)) as path from test order by path; + +drop table test; +create table test (json JSON(max_dynamic_paths=8)) engine=MergeTree order by tuple(); +insert into test select multiIf(number < 1000, '{}'::JSON(max_dynamic_paths=8), number < 3000, materialize('{"a" : [{"b" : 42, "c" : [1, 2, 3]}]}')::JSON(max_dynamic_paths=8), materialize('{"a" : [{"d" : "2020-01-01", "e" : "Hello"}]}')::JSON(max_dynamic_paths=8)) from numbers(20000); +select 'All paths'; +select distinct arrayJoin(JSONAllPaths(arrayJoin(json.a[]))) as path from test order by path; +select 'Dynamic paths'; +select distinct arrayJoin(JSONDynamicPaths(arrayJoin(json.a[]))) as path from test order by path; +select 'Shared data paths'; +select distinct arrayJoin(JSONSharedDataPaths(arrayJoin(json.a[]))) as path from test order by path; + +truncate table test; +insert into test select multiIf(number < 1000, materialize('{"a" : [{"b" : 42, "c" : [1, 2, 3]}]}')::JSON(max_dynamic_paths=8), number < 3000, materialize('{"a" : [{"d" : "2020-01-01", "e" : "Hello"}]}')::JSON(max_dynamic_paths=8), materialize('{"a" : [{"f" : "2020-01-01 00:00:00", "g" : "Hello2"}]}')::JSON(max_dynamic_paths=8)) from numbers(20000); +select 'All paths'; +select distinct arrayJoin(JSONAllPaths(arrayJoin(json.a[]))) as path from test order by path; +select 'Dynamic paths'; +select distinct arrayJoin(JSONDynamicPaths(arrayJoin(json.a[]))) as path from test order by path; +select 'Shared data paths'; +select distinct arrayJoin(JSONSharedDataPaths(arrayJoin(json.a[]))) as path from test order by path; + +truncate table test; +insert into test select multiIf(number < 1000, materialize('{"a" : [{"b" : 42}]}')::JSON(max_dynamic_paths=8), number < 3000, materialize('{"a" : [{"d" : "2020-01-01", "e" : "Hello"}]}')::JSON(max_dynamic_paths=8), materialize('{"a" : [{"f" : "2020-01-01 00:00:00"}]}')::JSON(max_dynamic_paths=8)) from numbers(20000); +select 'All paths'; +select distinct arrayJoin(JSONAllPaths(arrayJoin(json.a[]))) as path from test order by path; +select 'Dynamic paths'; +select distinct arrayJoin(JSONDynamicPaths(arrayJoin(json.a[]))) as path from test order by path; +select 'Shared data paths'; +select distinct arrayJoin(JSONSharedDataPaths(arrayJoin(json.a[]))) as path from test order by path; + +drop table test; \ No newline at end of file diff --git a/tests/queries/0_stateless/03223_nested_json_in_shared_data_merges.reference b/tests/queries/0_stateless/03223_nested_json_in_shared_data_merges.reference new file mode 100644 index 00000000000..6c01506e800 --- /dev/null +++ b/tests/queries/0_stateless/03223_nested_json_in_shared_data_merges.reference @@ -0,0 +1,81 @@ +All paths +['b'] +['b'] +['b'] +['b'] +['b'] +['c'] +['c'] +['c'] +['c'] +['c'] +Dynamic paths +['b'] +['b'] +['b'] +['b'] +['b'] +[] +[] +[] +[] +[] +Shared data paths +[] +[] +[] +[] +[] +['c'] +['c'] +['c'] +['c'] +['c'] +All paths +['b'] +['b'] +['b'] +['b'] +['b'] +['c'] +['c'] +['c'] +['c'] +['c'] +['b'] +['b'] +['b'] +['b'] +['b'] +Dynamic paths +['b'] +['b'] +['b'] +['b'] +['b'] +['c'] +['c'] +['c'] +['c'] +['c'] +['b'] +['b'] +['b'] +['b'] +['b'] +Shared data paths +[] +[] +[] +[] +[] +[] +[] +[] +[] +[] +[] +[] +[] +[] +[] diff --git a/tests/queries/0_stateless/03223_nested_json_in_shared_data_merges.sql b/tests/queries/0_stateless/03223_nested_json_in_shared_data_merges.sql new file mode 100644 index 00000000000..311eba37772 --- /dev/null +++ b/tests/queries/0_stateless/03223_nested_json_in_shared_data_merges.sql @@ -0,0 +1,26 @@ +set allow_experimental_json_type = 1; + +drop table if exists test; +create table test (json JSON(max_dynamic_paths=8)) engine=MergeTree order by tuple() settings min_bytes_for_wide_part=1, min_rows_for_wide_part=1; +insert into test select materialize('{"a" : [{"b" : 42}]}')::JSON(max_dynamic_paths=8) from numbers(5); +insert into test select materialize('{"aa1" : 42, "aa2" : 42, "aa3" : 42, "aa4" : 42, "aa5" : 42, "aa6" : 42, "aa7" : 42, "aa8" : 42, "a" : [{"c" : 42}]}') from numbers(5); +optimize table test final; + +select 'All paths'; +select JSONAllPaths(arrayJoin(json.a[])) from test; +select 'Dynamic paths'; +select JSONDynamicPaths(arrayJoin(json.a[])) from test; +select 'Shared data paths'; +select JSONSharedDataPaths(arrayJoin(json.a[])) from test; + +insert into test select materialize('{"a" : [{"b" : 42}]}')::JSON(max_dynamic_paths=8) from numbers(5); +optimize table test final; + +select 'All paths'; +select JSONAllPaths(arrayJoin(json.a[])) from test; +select 'Dynamic paths'; +select JSONDynamicPaths(arrayJoin(json.a[])) from test; +select 'Shared data paths'; +select JSONSharedDataPaths(arrayJoin(json.a[])) from test; + +drop table test; diff --git a/tests/queries/0_stateless/03224_json_merges_new_type_in_shared_data.reference b/tests/queries/0_stateless/03224_json_merges_new_type_in_shared_data.reference new file mode 100644 index 00000000000..9d58b3a35db --- /dev/null +++ b/tests/queries/0_stateless/03224_json_merges_new_type_in_shared_data.reference @@ -0,0 +1,4 @@ +Array(Nullable(Int64)) true +Int64 false +Array(Nullable(Int64)) false +Int64 false diff --git a/tests/queries/0_stateless/03224_json_merges_new_type_in_shared_data.sql b/tests/queries/0_stateless/03224_json_merges_new_type_in_shared_data.sql new file mode 100644 index 00000000000..c96d67c0d47 --- /dev/null +++ b/tests/queries/0_stateless/03224_json_merges_new_type_in_shared_data.sql @@ -0,0 +1,12 @@ +set allow_experimental_json_type = 1; + +drop table if exists test; +create table test (json JSON(max_dynamic_paths=1)) engine=MergeTree order by tuple() settings min_rows_for_wide_part = 1, min_bytes_for_wide_part = 1; +insert into test select '{"b" : 42}' from numbers(5); +insert into test select '{"a" : 42, "b" : [1, 2, 3]}' from numbers(5); +optimize table test final; +select distinct dynamicType(json.b) as type, isDynamicElementInSharedData(json.b) from test order by type; +insert into test select '{"b" : 42}' from numbers(5); +optimize table test final; +select distinct dynamicType(json.b) as type, isDynamicElementInSharedData(json.b) from test order by type; +drop table test; diff --git a/tests/queries/0_stateless/03224_nested_json_merges_new_type_in_shared_data.reference b/tests/queries/0_stateless/03224_nested_json_merges_new_type_in_shared_data.reference new file mode 100644 index 00000000000..b45d9bb97da --- /dev/null +++ b/tests/queries/0_stateless/03224_nested_json_merges_new_type_in_shared_data.reference @@ -0,0 +1,22 @@ +Array(JSON(max_dynamic_types=16, max_dynamic_paths=2)) true +Int64 false +Array(JSON(max_dynamic_types=16, max_dynamic_paths=2)) false +Int64 false +['c'] +['d'] +Array(JSON(max_dynamic_types=16, max_dynamic_paths=2)) false +Int64 false +['c'] +['d'] +Int64 true +None false +Int64 true +None false +Array(JSON(max_dynamic_types=16, max_dynamic_paths=2)) false +Int64 false +['c'] +['d'] +Int64 false +None false +Int64 false +None false diff --git a/tests/queries/0_stateless/03224_nested_json_merges_new_type_in_shared_data.sql b/tests/queries/0_stateless/03224_nested_json_merges_new_type_in_shared_data.sql new file mode 100644 index 00000000000..b22b8b4fb75 --- /dev/null +++ b/tests/queries/0_stateless/03224_nested_json_merges_new_type_in_shared_data.sql @@ -0,0 +1,25 @@ +set allow_experimental_json_type = 1; + +drop table if exists test; +create table test (json JSON(max_dynamic_paths=8)) engine=MergeTree order by tuple() settings min_rows_for_wide_part = 1, min_bytes_for_wide_part = 1; +insert into test select materialize('{"a" : 42}')::JSON(max_dynamic_paths=8) from numbers(5); +insert into test select materialize('{"a1" : 42, "a2" : 42, "a3" : 42, "a4" : 42, "a5" : 42, "a6" : 42, "a7" : 42, "a8" : 42, "a" : [{"c" : 42}]}')::JSON(max_dynamic_paths=8) from numbers(5); +optimize table test final; +select distinct dynamicType(json.a) as type, isDynamicElementInSharedData(json.a) from test order by type; +insert into test select materialize('{"a1" : 42, "a2" : 42, "a3" : 42, "a4" : 42, "a5" : 42, "a6" : 42, "a7" : 42, "a8" : 42, "a" : [{"d" : 42}]}')::JSON(max_dynamic_paths=8) from numbers(5); +optimize table test final; +select distinct dynamicType(json.a) as type, isDynamicElementInSharedData(json.a) from test order by type; +select distinct JSONSharedDataPaths(arrayJoin(json.a[])) as path from test order by path; +insert into test select materialize('{"a" : 42}')::JSON(max_dynamic_paths=8) from numbers(5); +optimize table test final; +select distinct dynamicType(json.a) as type, isDynamicElementInSharedData(json.a) from test order by type; +select distinct JSONDynamicPaths(arrayJoin(json.a[])) as path from test order by path; +select distinct dynamicType(arrayJoin(json.a[].c)) as type, isDynamicElementInSharedData(arrayJoin(json.a[].c)) from test order by type; +select distinct dynamicType(arrayJoin(json.a[].d)) as type, isDynamicElementInSharedData(arrayJoin(json.a[].d)) from test order by type; +insert into test select materialize('{"a" : 42}')::JSON(max_dynamic_paths=8) from numbers(5); +optimize table test final; +select distinct dynamicType(json.a) as type, isDynamicElementInSharedData(json.a) from test order by type; +select distinct JSONDynamicPaths(arrayJoin(json.a[])) as path from test order by path; +select distinct dynamicType(arrayJoin(json.a[].c)) as type, isDynamicElementInSharedData(arrayJoin(json.a[].c)) from test order by type; +select distinct dynamicType(arrayJoin(json.a[].d)) as type, isDynamicElementInSharedData(arrayJoin(json.a[].d)) from test order by type; +drop table test; diff --git a/tests/queries/0_stateless/03225_alter_to_json_not_supported.reference b/tests/queries/0_stateless/03225_alter_to_json_not_supported.reference new file mode 100644 index 00000000000..e69de29bb2d diff --git a/tests/queries/0_stateless/03225_alter_to_json_not_supported.sql b/tests/queries/0_stateless/03225_alter_to_json_not_supported.sql new file mode 100644 index 00000000000..398494d56de --- /dev/null +++ b/tests/queries/0_stateless/03225_alter_to_json_not_supported.sql @@ -0,0 +1,15 @@ +set allow_experimental_json_type = 1; + +drop table if exists test; +create table test (s String) engine=MergeTree order by tuple(); +alter table test modify column s JSON; -- { serverError BAD_ARGUMENTS } +drop table test; + +create table test (s Array(String)) engine=MergeTree order by tuple(); +alter table test modify column s Array(JSON); -- { serverError BAD_ARGUMENTS } +drop table test; + +create table test (s Tuple(String, String)) engine=MergeTree order by tuple(); +alter table test modify column s Tuple(JSON, String); -- { serverError BAD_ARGUMENTS } +drop table test; + diff --git a/tests/queries/0_stateless/03226_alter_update_dynamic_json_not_supported.reference b/tests/queries/0_stateless/03226_alter_update_dynamic_json_not_supported.reference new file mode 100644 index 00000000000..e69de29bb2d diff --git a/tests/queries/0_stateless/03226_alter_update_dynamic_json_not_supported.sql b/tests/queries/0_stateless/03226_alter_update_dynamic_json_not_supported.sql new file mode 100644 index 00000000000..720f8670c83 --- /dev/null +++ b/tests/queries/0_stateless/03226_alter_update_dynamic_json_not_supported.sql @@ -0,0 +1,9 @@ +set allow_experimental_dynamic_type = 1; +set allow_experimental_json_type = 1; + +drop table if exists test; +create table test (d Dynamic, json JSON) engine=MergeTree order by tuple(); +alter table test update d = 42 where 1; -- {serverError CANNOT_UPDATE_COLUMN} +alter table test update json = '{}' where 1; -- {serverError CANNOT_UPDATE_COLUMN} +drop table test; + diff --git a/utils/check-style/aspell-ignore/en/aspell-dict.txt b/utils/check-style/aspell-ignore/en/aspell-dict.txt index ce7c666912e..fd836d93143 100644 --- a/utils/check-style/aspell-ignore/en/aspell-dict.txt +++ b/utils/check-style/aspell-ignore/en/aspell-dict.txt @@ -391,6 +391,8 @@ IsValid JBOD JOINed JOINs +JSONAllPaths +JSONAllPathsWithTypes JSONArrayLength JSONAsObject JSONAsString @@ -405,6 +407,8 @@ JSONCompactStrings JSONCompactStringsEachRow JSONCompactStringsEachRowWithNames JSONCompactStringsEachRowWithNamesAndTypes +JSONDynamicPaths +JSONDynamicPathsWithTypes JSONEachRow JSONEachRowWithProgress JSONExtract @@ -424,6 +428,8 @@ JSONObjectEachRow JSONStrings JSONStringsEachRow JSONStringsEachRowWithProgress +JSONSharedDataPaths +JSONSharedDataPathsWithTypes JSONType JSONs Jaeger @@ -2123,6 +2129,7 @@ natively nats nestjs netloc +newjson ngram ngramDistance ngramDistanceCaseInsensitive