mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-22 15:42:02 +00:00
Merge branch 'ClickHouse:master' into master
This commit is contained in:
iceFireser
GitHub
commit
79776dbbad
@ -30,7 +30,6 @@
|
||||
* Support more variants of JOIN strictness (`LEFT/RIGHT SEMI/ANTI/ANY JOIN`) with inequality conditions which involve columns from both left and right table. e.g. `t1.y < t2.y` (see the setting `allow_experimental_join_condition`). [#64281](https://github.com/ClickHouse/ClickHouse/pull/64281) ([lgbo](https://github.com/lgbo-ustc)).
|
||||
* Intrpret Hive-style partitioning for different engines (`File`, `URL`, `S3`, `AzureBlobStorage`, `HDFS`). Hive-style partitioning organizes data into partitioned sub-directories, making it efficient to query and manage large datasets. Currently, it only creates virtual columns with the appropriate name and data. The follow-up PR will introduce the appropriate data filtering (performance speedup). [#65997](https://github.com/ClickHouse/ClickHouse/pull/65997) ([Yarik Briukhovetskyi](https://github.com/yariks5s)).
|
||||
* Add function `printf` for Spark compatiability (but you can use the existing `format` function). [#66257](https://github.com/ClickHouse/ClickHouse/pull/66257) ([李扬](https://github.com/taiyang-li)).
|
||||
* Added a new server setting, `disable_insertion_and_mutation`. If it is enabled, the server will deny all insertions and mutations. This includes asynchronous INSERTs. This setting can be used to create read-only replicas. [#66519](https://github.com/ClickHouse/ClickHouse/pull/66519) ([Xu Jia](https://github.com/XuJia0210)).
|
||||
* Add options `restore_replace_external_engines_to_null` and `restore_replace_external_table_functions_to_null` to replace external engines and table_engines to `Null` engine that can be useful for testing. It should work for RESTORE and explicit table creation. [#66536](https://github.com/ClickHouse/ClickHouse/pull/66536) ([Ilya Yatsishin](https://github.com/qoega)).
|
||||
* Added support for reading `MULTILINESTRING` geometry in `WKT` format using function `readWKTLineString`. [#67647](https://github.com/ClickHouse/ClickHouse/pull/67647) ([Jacob Reckhard](https://github.com/jacobrec)).
|
||||
* Add a new table function `fuzzQuery`. This function allows the modification of a given query string with random variations. Example: `SELECT query FROM fuzzQuery('SELECT 1') LIMIT 5;`. [#67655](https://github.com/ClickHouse/ClickHouse/pull/67655) ([pufit](https://github.com/pufit)).
|
||||
|
||||
@ -56,6 +56,15 @@ Other upcoming meetups
|
||||
* [Toronto Meetup (Shopify)](https://www.meetup.com/clickhouse-toronto-user-group/events/301490855/) - September 10
|
||||
* [Austin Meetup](https://www.meetup.com/clickhouse-austin-user-group/events/302558689/) - September 17
|
||||
* [London Meetup](https://www.meetup.com/clickhouse-london-user-group/events/302977267) - September 17
|
||||
* [Tel Aviv Meetup](https://www.meetup.com/clickhouse-meetup-israel/events/303095121) - September 22
|
||||
* [Madrid Meetup](https://www.meetup.com/clickhouse-spain-user-group/events/303096564/) - October 22
|
||||
* [Barcelona Meetup](https://www.meetup.com/clickhouse-spain-user-group/events/303096876/) - October 29
|
||||
* [Oslo Meetup](https://www.meetup.com/open-source-real-time-data-warehouse-real-time-analytics/events/302938622) - October 31
|
||||
* [Ghent Meetup](https://www.meetup.com/clickhouse-belgium-user-group/events/303049405/) - November 19
|
||||
* [Dubai Meetup](https://www.meetup.com/clickhouse-dubai-meetup-group/events/303096989/) - November 21
|
||||
* [Paris Meetup](https://www.meetup.com/clickhouse-france-user-group/events/303096434) - November 26
|
||||
|
||||
|
||||
|
||||
## Recent Recordings
|
||||
* **Recent Meetup Videos**: [Meetup Playlist](https://www.youtube.com/playlist?list=PL0Z2YDlm0b3iNDUzpY1S3L_iV4nARda_U) Whenever possible recordings of the ClickHouse Community Meetups are edited and presented as individual talks. Current featuring "Modern SQL in 2023", "Fast, Concurrent, and Consistent Asynchronous INSERTS in ClickHouse", and "Full-Text Indices: Design and Experiments"
|
||||
|
||||
@ -18,7 +18,9 @@
|
||||
#define Net_HTTPResponse_INCLUDED
|
||||
|
||||
|
||||
#include <map>
|
||||
#include <vector>
|
||||
|
||||
#include "Poco/Net/HTTPCookie.h"
|
||||
#include "Poco/Net/HTTPMessage.h"
|
||||
#include "Poco/Net/Net.h"
|
||||
@ -180,6 +182,8 @@ namespace Net
|
||||
/// May throw an exception in case of a malformed
|
||||
/// Set-Cookie header.
|
||||
|
||||
void getHeaders(std::map<std::string, std::string> & headers) const;
|
||||
|
||||
void write(std::ostream & ostr) const;
|
||||
/// Writes the HTTP response to the given
|
||||
/// output stream.
|
||||
|
||||
@ -209,6 +209,15 @@ void HTTPResponse::getCookies(std::vector<HTTPCookie>& cookies) const
|
||||
}
|
||||
}
|
||||
|
||||
void HTTPResponse::getHeaders(std::map<std::string, std::string> & headers) const
|
||||
{
|
||||
headers.clear();
|
||||
for (const auto & it : *this)
|
||||
{
|
||||
headers.emplace(it.first, it.second);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
void HTTPResponse::write(std::ostream& ostr) const
|
||||
{
|
||||
|
||||
2
contrib/libfiu
vendored
2
contrib/libfiu
vendored
@ -1 +1 @@
|
||||
Subproject commit b85edbde4cf974b1b40d27828a56f0505f4e2ee5
|
||||
Subproject commit a1290d8cd3d7b4541d6c976e0a54f572ac03f2a3
|
||||
2
contrib/usearch
vendored
2
contrib/usearch
vendored
@ -1 +1 @@
|
||||
Subproject commit e21a5778a0d4469ddaf38c94b7be0196bb701ee4
|
||||
Subproject commit 7a8967cb442b08ca20c3dd781414378e65957d37
|
||||
@ -13,7 +13,8 @@ entry="/usr/share/clickhouse-test/performance/scripts/entrypoint.sh"
|
||||
# https://www.kernel.org/doc/Documentation/filesystems/tmpfs.txt
|
||||
# Double-escaped backslashes are a tribute to the engineering wonder of docker --
|
||||
# it gives '/bin/sh: 1: [bash,: not found' otherwise.
|
||||
numactl --hardware
|
||||
echo > compare.log
|
||||
numactl --hardware | tee -a compare.log
|
||||
node=$(( RANDOM % $(numactl --hardware | sed -n 's/^.*available:\(.*\)nodes.*$/\1/p') ));
|
||||
echo Will bind to NUMA node $node;
|
||||
echo Will bind to NUMA node $node | tee -a compare.log
|
||||
numactl --cpunodebind=$node --membind=$node $entry
|
||||
|
||||
@ -54,7 +54,7 @@ Parameters:
|
||||
- `distance_function`: either `L2Distance` (the [Euclidean distance](https://en.wikipedia.org/wiki/Euclidean_distance) - the length of a
|
||||
line between two points in Euclidean space), or `cosineDistance` (the [cosine
|
||||
distance](https://en.wikipedia.org/wiki/Cosine_similarity#Cosine_distance)- the angle between two non-zero vectors).
|
||||
- `quantization`: either `f32`, `f16`, or `i8` for storing the vector with reduced precision (optional, default: `f32`)
|
||||
- `quantization`: either `f64`, `f32`, `f16`, `bf16`, or `i8` for storing the vector with reduced precision (optional, default: `bf16`)
|
||||
- `m`: the number of neighbors per graph node (optional, default: 16)
|
||||
- `ef_construction`: (optional, default: 128)
|
||||
- `ef_search`: (optional, default: 64)
|
||||
|
||||
@ -109,6 +109,7 @@ For partitioning by month, use the `toYYYYMM(date_column)` expression, where `da
|
||||
- `_file` — Resource name of the `URL`. Type: `LowCardinalty(String)`.
|
||||
- `_size` — Size of the resource in bytes. Type: `Nullable(UInt64)`. If the size is unknown, the value is `NULL`.
|
||||
- `_time` — Last modified time of the file. Type: `Nullable(DateTime)`. If the time is unknown, the value is `NULL`.
|
||||
- `_headers` - HTTP response headers. Type: `Map(LowCardinality(String), LowCardinality(String))`.
|
||||
|
||||
## Storage Settings {#storage-settings}
|
||||
|
||||
|
||||
@ -58,7 +58,7 @@ Connection: Close
|
||||
Content-Type: text/tab-separated-values; charset=UTF-8
|
||||
X-ClickHouse-Server-Display-Name: clickhouse.ru-central1.internal
|
||||
X-ClickHouse-Query-Id: 5abe861c-239c-467f-b955-8a201abb8b7f
|
||||
X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds": "0"}
|
||||
|
||||
1
|
||||
```
|
||||
@ -472,7 +472,7 @@ $ curl -v 'http://localhost:8123/predefined_query'
|
||||
< X-ClickHouse-Format: Template
|
||||
< X-ClickHouse-Timezone: Asia/Shanghai
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
<
|
||||
# HELP "Query" "Number of executing queries"
|
||||
# TYPE "Query" counter
|
||||
@ -668,7 +668,7 @@ $ curl -vv -H 'XXX:xxx' 'http://localhost:8123/hi'
|
||||
< Content-Type: text/html; charset=UTF-8
|
||||
< Transfer-Encoding: chunked
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
<
|
||||
* Connection #0 to host localhost left intact
|
||||
Say Hi!%
|
||||
@ -708,7 +708,7 @@ $ curl -v -H 'XXX:xxx' 'http://localhost:8123/get_config_static_handler'
|
||||
< Content-Type: text/plain; charset=UTF-8
|
||||
< Transfer-Encoding: chunked
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
<
|
||||
* Connection #0 to host localhost left intact
|
||||
<html ng-app="SMI2"><head><base href="http://ui.tabix.io/"></head><body><div ui-view="" class="content-ui"></div><script src="http://loader.tabix.io/master.js"></script></body></html>%
|
||||
@ -766,7 +766,7 @@ $ curl -vv -H 'XXX:xxx' 'http://localhost:8123/get_absolute_path_static_handler'
|
||||
< Content-Type: text/html; charset=UTF-8
|
||||
< Transfer-Encoding: chunked
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
<
|
||||
<html><body>Absolute Path File</body></html>
|
||||
* Connection #0 to host localhost left intact
|
||||
@ -785,7 +785,7 @@ $ curl -vv -H 'XXX:xxx' 'http://localhost:8123/get_relative_path_static_handler'
|
||||
< Content-Type: text/html; charset=UTF-8
|
||||
< Transfer-Encoding: chunked
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
<
|
||||
<html><body>Relative Path File</body></html>
|
||||
* Connection #0 to host localhost left intact
|
||||
|
||||
@ -5633,7 +5633,6 @@ 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`.
|
||||
|
||||
|
||||
41
docs/en/operations/system-tables/projections.md
Normal file
41
docs/en/operations/system-tables/projections.md
Normal file
@ -0,0 +1,41 @@
|
||||
---
|
||||
slug: /en/operations/system-tables/projections
|
||||
---
|
||||
# projections
|
||||
|
||||
Contains information about existing projections in all the tables.
|
||||
|
||||
Columns:
|
||||
|
||||
- `database` ([String](../../sql-reference/data-types/string.md)) — Database name.
|
||||
- `table` ([String](../../sql-reference/data-types/string.md)) — Table name.
|
||||
- `name` ([String](../../sql-reference/data-types/string.md)) — Projection name.
|
||||
- `type` ([Enum](../../sql-reference/data-types/enum.md)) — Projection type ('Normal' = 0, 'Aggregate' = 1).
|
||||
- `sorting_key` ([Array(String)](../../sql-reference/data-types/array.md)) — Projection sorting key.
|
||||
- `query` ([String](../../sql-reference/data-types/string.md)) — Projection query.
|
||||
|
||||
**Example**
|
||||
|
||||
```sql
|
||||
SELECT * FROM system.projections LIMIT 2 FORMAT Vertical;
|
||||
```
|
||||
|
||||
```text
|
||||
Row 1:
|
||||
──────
|
||||
database: default
|
||||
table: landing
|
||||
name: improved_sorting_key
|
||||
type: Normal
|
||||
sorting_key: ['user_id','date']
|
||||
query: SELECT * ORDER BY user_id, date
|
||||
|
||||
Row 2:
|
||||
──────
|
||||
database: default
|
||||
table: landing
|
||||
name: agg_no_key
|
||||
type: Aggregate
|
||||
sorting_key: []
|
||||
query: SELECT count()
|
||||
```
|
||||
@ -49,7 +49,7 @@ Result:
|
||||
|
||||
## multiIf
|
||||
|
||||
Allows to write the [CASE](../../sql-reference/operators/index.md#operator_case) operator more compactly in the query.
|
||||
Allows to write the [CASE](../../sql-reference/operators/index.md#conditional-expression) operator more compactly in the query.
|
||||
|
||||
**Syntax**
|
||||
|
||||
@ -264,4 +264,4 @@ SELECT clamp(1, 2, 3) result, toTypeName(result) type;
|
||||
┌─result─┬─type────┐
|
||||
│ 2 │ Float64 │
|
||||
└────────┴─────────┘
|
||||
```
|
||||
```
|
||||
|
||||
@ -4287,7 +4287,7 @@ Result:
|
||||
|
||||
## fromModifiedJulianDay
|
||||
|
||||
Converts a [Modified Julian Day](https://en.wikipedia.org/wiki/Julian_day#Variants) number to a [Proleptic Gregorian calendar](https://en.wikipedia.org/wiki/Proleptic_Gregorian_calendar) date in text form `YYYY-MM-DD`. This function supports day number from `-678941` to `2973119` (which represent 0000-01-01 and 9999-12-31 respectively). It raises an exception if the day number is outside of the supported range.
|
||||
Converts a [Modified Julian Day](https://en.wikipedia.org/wiki/Julian_day#Variants) number to a [Proleptic Gregorian calendar](https://en.wikipedia.org/wiki/Proleptic_Gregorian_calendar) date in text form `YYYY-MM-DD`. This function supports day number from `-678941` to `2973483` (which represent 0000-01-01 and 9999-12-31 respectively). It raises an exception if the day number is outside of the supported range.
|
||||
|
||||
**Syntax**
|
||||
|
||||
|
||||
@ -49,6 +49,55 @@ SETTINGS cast_keep_nullable = 1
|
||||
└──────────────────┴─────────────────────┴──────────────────┘
|
||||
```
|
||||
|
||||
## toBool
|
||||
|
||||
Converts an input value to a value of type [`Bool`](../data-types/boolean.md). Throws an exception in case of an error.
|
||||
|
||||
**Syntax**
|
||||
|
||||
```sql
|
||||
toBool(expr)
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `expr` — Expression returning a number or a string. [Expression](../syntax.md/#syntax-expressions).
|
||||
|
||||
Supported arguments:
|
||||
- Values of type (U)Int8/16/32/64/128/256.
|
||||
- Values of type Float32/64.
|
||||
- Strings `true` or `false` (case-insensitive).
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Returns `true` or `false` based on evaluation of the argument. [Bool](../data-types/boolean.md).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
```sql
|
||||
SELECT
|
||||
toBool(toUInt8(1)),
|
||||
toBool(toInt8(-1)),
|
||||
toBool(toFloat32(1.01)),
|
||||
toBool('true'),
|
||||
toBool('false'),
|
||||
toBool('FALSE')
|
||||
FORMAT Vertical
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
```response
|
||||
toBool(toUInt8(1)): true
|
||||
toBool(toInt8(-1)): true
|
||||
toBool(toFloat32(1.01)): true
|
||||
toBool('true'): true
|
||||
toBool('false'): false
|
||||
toBool('FALSE'): false
|
||||
```
|
||||
|
||||
## toInt8
|
||||
|
||||
Converts an input value to a value of type [`Int8`](../data-types/int-uint.md). Throws an exception in case of an error.
|
||||
|
||||
@ -8,7 +8,7 @@ title: "CREATE ROW POLICY"
|
||||
Creates a [row policy](../../../guides/sre/user-management/index.md#row-policy-management), i.e. a filter used to determine which rows a user can read from a table.
|
||||
|
||||
:::tip
|
||||
Row policies makes sense only for users with readonly access. If user can modify table or copy partitions between tables, it defeats the restrictions of row policies.
|
||||
Row policies make sense only for users with readonly access. If a user can modify a table or copy partitions between tables, it defeats the restrictions of row policies.
|
||||
:::
|
||||
|
||||
Syntax:
|
||||
@ -24,40 +24,40 @@ CREATE [ROW] POLICY [IF NOT EXISTS | OR REPLACE] policy_name1 [ON CLUSTER cluste
|
||||
|
||||
## USING Clause
|
||||
|
||||
Allows to specify a condition to filter rows. An user will see a row if the condition is calculated to non-zero for the row.
|
||||
Allows specifying a condition to filter rows. A user will see a row if the condition is calculated to non-zero for the row.
|
||||
|
||||
## TO Clause
|
||||
|
||||
In the section `TO` you can provide a list of users and roles this policy should work for. For example, `CREATE ROW POLICY ... TO accountant, john@localhost`.
|
||||
In the `TO` section you can provide a list of users and roles this policy should work for. For example, `CREATE ROW POLICY ... TO accountant, john@localhost`.
|
||||
|
||||
Keyword `ALL` means all the ClickHouse users including current user. Keyword `ALL EXCEPT` allow to exclude some users from the all users list, for example, `CREATE ROW POLICY ... TO ALL EXCEPT accountant, john@localhost`
|
||||
Keyword `ALL` means all the ClickHouse users, including current user. Keyword `ALL EXCEPT` allows excluding some users from the all users list, for example, `CREATE ROW POLICY ... TO ALL EXCEPT accountant, john@localhost`
|
||||
|
||||
:::note
|
||||
If there are no row policies defined for a table then any user can `SELECT` all the row from the table. Defining one or more row policies for the table makes the access to the table depending on the row policies no matter if those row policies are defined for the current user or not. For example, the following policy
|
||||
If there are no row policies defined for a table, then any user can `SELECT` all the rows from the table. Defining one or more row policies for the table makes access to the table dependent on the row policies, no matter if those row policies are defined for the current user or not. For example, the following policy:
|
||||
|
||||
`CREATE ROW POLICY pol1 ON mydb.table1 USING b=1 TO mira, peter`
|
||||
|
||||
forbids the users `mira` and `peter` to see the rows with `b != 1`, and any non-mentioned user (e.g., the user `paul`) will see no rows from `mydb.table1` at all.
|
||||
forbids the users `mira` and `peter` from seeing the rows with `b != 1`, and any non-mentioned user (e.g., the user `paul`) will see no rows from `mydb.table1` at all.
|
||||
|
||||
If that's not desirable it can't be fixed by adding one more row policy, like the following:
|
||||
If that's not desirable, it can be fixed by adding one more row policy, like the following:
|
||||
|
||||
`CREATE ROW POLICY pol2 ON mydb.table1 USING 1 TO ALL EXCEPT mira, peter`
|
||||
:::
|
||||
|
||||
## AS Clause
|
||||
|
||||
It's allowed to have more than one policy enabled on the same table for the same user at the one time. So we need a way to combine the conditions from multiple policies.
|
||||
It's allowed to have more than one policy enabled on the same table for the same user at one time. So we need a way to combine the conditions from multiple policies.
|
||||
|
||||
By default policies are combined using the boolean `OR` operator. For example, the following policies
|
||||
By default, policies are combined using the boolean `OR` operator. For example, the following policies:
|
||||
|
||||
``` sql
|
||||
CREATE ROW POLICY pol1 ON mydb.table1 USING b=1 TO mira, peter
|
||||
CREATE ROW POLICY pol2 ON mydb.table1 USING c=2 TO peter, antonio
|
||||
```
|
||||
|
||||
enables the user `peter` to see rows with either `b=1` or `c=2`.
|
||||
enable the user `peter` to see rows with either `b=1` or `c=2`.
|
||||
|
||||
The `AS` clause specifies how policies should be combined with other policies. Policies can be either permissive or restrictive. By default policies are permissive, which means they are combined using the boolean `OR` operator.
|
||||
The `AS` clause specifies how policies should be combined with other policies. Policies can be either permissive or restrictive. By default, policies are permissive, which means they are combined using the boolean `OR` operator.
|
||||
|
||||
A policy can be defined as restrictive as an alternative. Restrictive policies are combined using the boolean `AND` operator.
|
||||
|
||||
@ -68,25 +68,25 @@ row_is_visible = (one or more of the permissive policies' conditions are non-zer
|
||||
(all of the restrictive policies's conditions are non-zero)
|
||||
```
|
||||
|
||||
For example, the following policies
|
||||
For example, the following policies:
|
||||
|
||||
``` sql
|
||||
CREATE ROW POLICY pol1 ON mydb.table1 USING b=1 TO mira, peter
|
||||
CREATE ROW POLICY pol2 ON mydb.table1 USING c=2 AS RESTRICTIVE TO peter, antonio
|
||||
```
|
||||
|
||||
enables the user `peter` to see rows only if both `b=1` AND `c=2`.
|
||||
enable the user `peter` to see rows only if both `b=1` AND `c=2`.
|
||||
|
||||
Database policies are combined with table policies.
|
||||
|
||||
For example, the following policies
|
||||
For example, the following policies:
|
||||
|
||||
``` sql
|
||||
CREATE ROW POLICY pol1 ON mydb.* USING b=1 TO mira, peter
|
||||
CREATE ROW POLICY pol2 ON mydb.table1 USING c=2 AS RESTRICTIVE TO peter, antonio
|
||||
```
|
||||
|
||||
enables the user `peter` to see table1 rows only if both `b=1` AND `c=2`, although
|
||||
enable the user `peter` to see table1 rows only if both `b=1` AND `c=2`, although
|
||||
any other table in mydb would have only `b=1` policy applied for the user.
|
||||
|
||||
|
||||
|
||||
@ -10,7 +10,7 @@ title: The Lightweight DELETE Statement
|
||||
The lightweight `DELETE` statement removes rows from the table `[db.]table` that match the expression `expr`. It is only available for the *MergeTree table engine family.
|
||||
|
||||
``` sql
|
||||
DELETE FROM [db.]table [ON CLUSTER cluster] WHERE expr;
|
||||
DELETE FROM [db.]table [ON CLUSTER cluster] [IN PARTITION partition_expr] WHERE expr;
|
||||
```
|
||||
|
||||
It is called "lightweight `DELETE`" to contrast it to the [ALTER table DELETE](/en/sql-reference/statements/alter/delete) command, which is a heavyweight process.
|
||||
|
||||
@ -54,6 +54,7 @@ Character `|` inside patterns is used to specify failover addresses. They are it
|
||||
- `_file` — Resource name of the `URL`. Type: `LowCardinalty(String)`.
|
||||
- `_size` — Size of the resource in bytes. Type: `Nullable(UInt64)`. If the size is unknown, the value is `NULL`.
|
||||
- `_time` — Last modified time of the file. Type: `Nullable(DateTime)`. If the time is unknown, the value is `NULL`.
|
||||
- `_headers` - HTTP response headers. Type: `Map(LowCardinality(String), LowCardinality(String))`.
|
||||
|
||||
## Hive-style partitioning {#hive-style-partitioning}
|
||||
|
||||
|
||||
@ -50,7 +50,7 @@ Connection: Close
|
||||
Content-Type: text/tab-separated-values; charset=UTF-8
|
||||
X-ClickHouse-Server-Display-Name: clickhouse.ru-central1.internal
|
||||
X-ClickHouse-Query-Id: 5abe861c-239c-467f-b955-8a201abb8b7f
|
||||
X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
|
||||
1
|
||||
```
|
||||
@ -367,7 +367,7 @@ $ curl -v 'http://localhost:8123/predefined_query'
|
||||
< X-ClickHouse-Format: Template
|
||||
< X-ClickHouse-Timezone: Asia/Shanghai
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0", "elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
<
|
||||
# HELP "Query" "Number of executing queries"
|
||||
# TYPE "Query" counter
|
||||
@ -601,7 +601,7 @@ $ curl -v -H 'XXX:xxx' 'http://localhost:8123/get_config_static_handler'
|
||||
< Content-Type: text/plain; charset=UTF-8
|
||||
< Transfer-Encoding: chunked
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
<
|
||||
* Connection #0 to host localhost left intact
|
||||
<html ng-app="SMI2"><head><base href="http://ui.tabix.io/"></head><body><div ui-view="" class="content-ui"></div><script src="http://loader.tabix.io/master.js"></script></body></html>%
|
||||
@ -659,7 +659,7 @@ $ curl -vv -H 'XXX:xxx' 'http://localhost:8123/get_absolute_path_static_handler'
|
||||
< Content-Type: text/html; charset=UTF-8
|
||||
< Transfer-Encoding: chunked
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
<
|
||||
<html><body>Absolute Path File</body></html>
|
||||
* Connection #0 to host localhost left intact
|
||||
@ -678,7 +678,7 @@ $ curl -vv -H 'XXX:xxx' 'http://localhost:8123/get_relative_path_static_handler'
|
||||
< Content-Type: text/html; charset=UTF-8
|
||||
< Transfer-Encoding: chunked
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
<
|
||||
<html><body>Relative Path File</body></html>
|
||||
* Connection #0 to host localhost left intact
|
||||
|
||||
@ -280,7 +280,7 @@ SYSTEM START REPLICATION QUEUES [ON CLUSTER cluster_name] [[db.]replicated_merge
|
||||
Ждет когда таблица семейства `ReplicatedMergeTree` будет синхронизирована с другими репликами в кластере, но не более `receive_timeout` секунд:
|
||||
|
||||
``` sql
|
||||
SYSTEM SYNC REPLICA [db.]replicated_merge_tree_family_table_name [STRICT | LIGHTWEIGHT [FROM 'srcReplica1'[, 'srcReplica2'[, ...]]] | PULL]
|
||||
SYSTEM SYNC REPLICA [ON CLUSTER cluster_name] [db.]replicated_merge_tree_family_table_name [STRICT | LIGHTWEIGHT [FROM 'srcReplica1'[, 'srcReplica2'[, ...]]] | PULL]
|
||||
```
|
||||
|
||||
После выполнения этого запроса таблица `[db.]replicated_merge_tree_family_table_name` загружает команды из общего реплицированного лога в свою собственную очередь репликации. Затем запрос ждет, пока реплика не обработает все загруженные команды. Поддерживаются следующие модификаторы:
|
||||
|
||||
@ -53,7 +53,7 @@ Connection: Close
|
||||
Content-Type: text/tab-separated-values; charset=UTF-8
|
||||
X-ClickHouse-Server-Display-Name: clickhouse.ru-central1.internal
|
||||
X-ClickHouse-Query-Id: 5abe861c-239c-467f-b955-8a201abb8b7f
|
||||
X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334","real_time_microseconds":"0"}
|
||||
|
||||
1
|
||||
```
|
||||
@ -363,7 +363,7 @@ $ curl -v 'http://localhost:8123/predefined_query'
|
||||
< X-ClickHouse-Format: Template
|
||||
< X-ClickHouse-Timezone: Asia/Shanghai
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
<
|
||||
# HELP "Query" "Number of executing queries"
|
||||
# TYPE "Query" counter
|
||||
@ -524,7 +524,7 @@ $ curl -vv -H 'XXX:xxx' 'http://localhost:8123/hi'
|
||||
< Content-Type: text/html; charset=UTF-8
|
||||
< Transfer-Encoding: chunked
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334", "real_time_microseconds":"0"}
|
||||
<
|
||||
* Connection #0 to host localhost left intact
|
||||
Say Hi!%
|
||||
@ -564,7 +564,7 @@ $ curl -v -H 'XXX:xxx' 'http://localhost:8123/get_config_static_handler'
|
||||
< Content-Type: text/plain; charset=UTF-8
|
||||
< Transfer-Encoding: chunked
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334","real_time_microseconds":"0"}
|
||||
<
|
||||
* Connection #0 to host localhost left intact
|
||||
<html ng-app="SMI2"><head><base href="http://ui.tabix.io/"></head><body><div ui-view="" class="content-ui"></div><script src="http://loader.tabix.io/master.js"></script></body></html>%
|
||||
@ -616,7 +616,7 @@ $ curl -vv -H 'XXX:xxx' 'http://localhost:8123/get_absolute_path_static_handler'
|
||||
< Content-Type: text/html; charset=UTF-8
|
||||
< Transfer-Encoding: chunked
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334","real_time_microseconds":"0"}
|
||||
<
|
||||
<html><body>Absolute Path File</body></html>
|
||||
* Connection #0 to host localhost left intact
|
||||
@ -635,7 +635,7 @@ $ curl -vv -H 'XXX:xxx' 'http://localhost:8123/get_relative_path_static_handler'
|
||||
< Content-Type: text/html; charset=UTF-8
|
||||
< Transfer-Encoding: chunked
|
||||
< Keep-Alive: timeout=10
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334"}
|
||||
< X-ClickHouse-Summary: {"read_rows":"0","read_bytes":"0","written_rows":"0","written_bytes":"0","total_rows_to_read":"0","elapsed_ns":"662334","real_time_microseconds":"0"}
|
||||
<
|
||||
<html><body>Relative Path File</body></html>
|
||||
* Connection #0 to host localhost left intact
|
||||
|
||||
@ -1157,7 +1157,7 @@ SELECT toModifiedJulianDayOrNull('2020-01-01');
|
||||
|
||||
## fromModifiedJulianDay {#frommodifiedjulianday}
|
||||
|
||||
将 [Modified Julian Day](https://en.wikipedia.org/wiki/Julian_day#Variants) 数字转换为 `YYYY-MM-DD` 文本格式的 [Proleptic Gregorian calendar](https://en.wikipedia.org/wiki/Proleptic_Gregorian_calendar) 日期。该函数支持从 `-678941` 到 `2973119` 的天数（分别代表 0000-01-01 和 9999-12-31）。如果天数超出支持范围，则会引发异常。
|
||||
将 [Modified Julian Day](https://en.wikipedia.org/wiki/Julian_day#Variants) 数字转换为 `YYYY-MM-DD` 文本格式的 [Proleptic Gregorian calendar](https://en.wikipedia.org/wiki/Proleptic_Gregorian_calendar) 日期。该函数支持从 `-678941` 到 `2973483` 的天数（分别代表 0000-01-01 和 9999-12-31）。如果天数超出支持范围，则会引发异常。
|
||||
|
||||
**语法**
|
||||
|
||||
|
||||
@ -209,7 +209,7 @@ std::map<std::pair<TypeIndex, String>, NodeToSubcolumnTransformer> node_transfor
|
||||
},
|
||||
};
|
||||
|
||||
std::tuple<FunctionNode *, ColumnNode *, TableNode *> getTypedNodesForOptimization(const QueryTreeNodePtr & node)
|
||||
std::tuple<FunctionNode *, ColumnNode *, TableNode *> getTypedNodesForOptimization(const QueryTreeNodePtr & node, const ContextPtr & context)
|
||||
{
|
||||
auto * function_node = node->as<FunctionNode>();
|
||||
if (!function_node)
|
||||
@ -232,6 +232,12 @@ std::tuple<FunctionNode *, ColumnNode *, TableNode *> getTypedNodesForOptimizati
|
||||
const auto & storage_snapshot = table_node->getStorageSnapshot();
|
||||
auto column = first_argument_column_node->getColumn();
|
||||
|
||||
/// If view source is set we cannot optimize because it doesn't support moving functions to subcolumns.
|
||||
/// The storage is replaced to the view source but it happens only after building a query tree and applying passes.
|
||||
auto view_source = context->getViewSource();
|
||||
if (view_source && view_source->getStorageID().getFullNameNotQuoted() == storage->getStorageID().getFullNameNotQuoted())
|
||||
return {};
|
||||
|
||||
if (!storage->supportsOptimizationToSubcolumns() || storage->isVirtualColumn(column.name, storage_snapshot->metadata))
|
||||
return {};
|
||||
|
||||
@ -266,7 +272,7 @@ public:
|
||||
return;
|
||||
}
|
||||
|
||||
auto [function_node, first_argument_node, table_node] = getTypedNodesForOptimization(node);
|
||||
auto [function_node, first_argument_node, table_node] = getTypedNodesForOptimization(node, getContext());
|
||||
if (function_node && first_argument_node && table_node)
|
||||
{
|
||||
enterImpl(*function_node, *first_argument_node, *table_node);
|
||||
@ -416,7 +422,7 @@ public:
|
||||
if (!getSettings().optimize_functions_to_subcolumns)
|
||||
return;
|
||||
|
||||
auto [function_node, first_argument_column_node, table_node] = getTypedNodesForOptimization(node);
|
||||
auto [function_node, first_argument_column_node, table_node] = getTypedNodesForOptimization(node, getContext());
|
||||
if (!function_node || !first_argument_column_node || !table_node)
|
||||
return;
|
||||
|
||||
|
||||
@ -34,6 +34,7 @@
|
||||
#include <Parsers/Access/ASTCreateUserQuery.h>
|
||||
#include <Parsers/Access/ASTAuthenticationData.h>
|
||||
#include <Parsers/ASTDropQuery.h>
|
||||
#include <Parsers/ASTExplainQuery.h>
|
||||
#include <Parsers/ASTSelectQuery.h>
|
||||
#include <Parsers/ASTSetQuery.h>
|
||||
#include <Parsers/ASTUseQuery.h>
|
||||
@ -2111,6 +2112,15 @@ MultiQueryProcessingStage ClientBase::analyzeMultiQueryText(
|
||||
// - Other formats (e.g. FORMAT CSV) are arbitrarily more complex and tricky to parse. For example, we may be unable to distinguish if the semicolon
|
||||
// is part of the data or ends the statement. In this case, we simply assume that the end of the INSERT statement is determined by \n\n (two newlines).
|
||||
auto * insert_ast = parsed_query->as<ASTInsertQuery>();
|
||||
// We also consider the INSERT query in EXPLAIN queries (same as normal INSERT queries)
|
||||
if (!insert_ast)
|
||||
{
|
||||
auto * explain_ast = parsed_query->as<ASTExplainQuery>();
|
||||
if (explain_ast && explain_ast->getExplainedQuery())
|
||||
{
|
||||
insert_ast = explain_ast->getExplainedQuery()->as<ASTInsertQuery>();
|
||||
}
|
||||
}
|
||||
const char * query_to_execute_end = this_query_end;
|
||||
if (insert_ast && insert_ast->data)
|
||||
{
|
||||
|
||||
@ -300,7 +300,7 @@ void ColumnDynamic::get(size_t n, Field & res) const
|
||||
auto value_data = shared_variant.getDataAt(variant_col.offsetAt(n));
|
||||
ReadBufferFromMemory buf(value_data.data, value_data.size);
|
||||
auto type = decodeDataType(buf);
|
||||
getVariantSerialization(type)->deserializeBinary(res, buf, getFormatSettings());
|
||||
type->getDefaultSerialization()->deserializeBinary(res, buf, getFormatSettings());
|
||||
}
|
||||
|
||||
|
||||
@ -736,8 +736,7 @@ StringRef ColumnDynamic::serializeValueIntoArena(size_t n, Arena & arena, const
|
||||
{
|
||||
const auto & variant_type = assert_cast<const DataTypeVariant &>(*variant_info.variant_type).getVariant(discr);
|
||||
encodeDataType(variant_type, buf);
|
||||
getVariantSerialization(variant_type, variant_info.variant_names[discr])
|
||||
->serializeBinary(variant_col.getVariantByGlobalDiscriminator(discr), variant_col.offsetAt(n), buf, getFormatSettings());
|
||||
variant_type->getDefaultSerialization()->serializeBinary(variant_col.getVariantByGlobalDiscriminator(discr), variant_col.offsetAt(n), buf, getFormatSettings());
|
||||
type_and_value = buf.str();
|
||||
}
|
||||
|
||||
@ -870,7 +869,7 @@ int ColumnDynamic::doCompareAt(size_t n, size_t m, const IColumn & rhs, int nan_
|
||||
/// We have both values serialized in binary format, so we need to
|
||||
/// create temporary column, insert both values into it and compare.
|
||||
auto tmp_column = left_data_type->createColumn();
|
||||
const auto & serialization = getVariantSerialization(left_data_type, left_data_type_name);
|
||||
const auto & serialization = left_data_type->getDefaultSerialization();
|
||||
serialization->deserializeBinary(*tmp_column, buf_left, getFormatSettings());
|
||||
serialization->deserializeBinary(*tmp_column, buf_right, getFormatSettings());
|
||||
return tmp_column->compareAt(0, 1, *tmp_column, nan_direction_hint);
|
||||
@ -892,7 +891,7 @@ int ColumnDynamic::doCompareAt(size_t n, size_t m, const IColumn & rhs, int nan_
|
||||
/// We have left value serialized in binary format, we need to
|
||||
/// create temporary column, insert the value into it and compare.
|
||||
auto tmp_column = left_data_type->createColumn();
|
||||
getVariantSerialization(left_data_type, left_data_type_name)->deserializeBinary(*tmp_column, buf_left, getFormatSettings());
|
||||
left_data_type->getDefaultSerialization()->deserializeBinary(*tmp_column, buf_left, getFormatSettings());
|
||||
return tmp_column->compareAt(0, right_variant.offsetAt(m), right_variant.getVariantByGlobalDiscriminator(right_discr), nan_direction_hint);
|
||||
}
|
||||
/// Check if only right value is in shared data.
|
||||
@ -912,7 +911,7 @@ int ColumnDynamic::doCompareAt(size_t n, size_t m, const IColumn & rhs, int nan_
|
||||
/// We have right value serialized in binary format, we need to
|
||||
/// create temporary column, insert the value into it and compare.
|
||||
auto tmp_column = right_data_type->createColumn();
|
||||
getVariantSerialization(right_data_type, right_data_type_name)->deserializeBinary(*tmp_column, buf_right, getFormatSettings());
|
||||
right_data_type->getDefaultSerialization()->deserializeBinary(*tmp_column, buf_right, getFormatSettings());
|
||||
return left_variant.getVariantByGlobalDiscriminator(left_discr).compareAt(left_variant.offsetAt(n), 0, *tmp_column, nan_direction_hint);
|
||||
}
|
||||
/// Otherwise both values are regular variants.
|
||||
|
||||
@ -414,7 +414,7 @@ public:
|
||||
/// Insert value into shared variant. Also updates Variant discriminators and offsets.
|
||||
void insertValueIntoSharedVariant(const IColumn & src, const DataTypePtr & type, const String & type_name, size_t n);
|
||||
|
||||
const SerializationPtr & getVariantSerialization(const DataTypePtr & variant_type, const String & variant_name) const
|
||||
const SerializationPtr & getVariantSerialization(const DataTypePtr & variant_type, const String & variant_name)
|
||||
{
|
||||
/// Get serialization for provided data type.
|
||||
/// To avoid calling type->getDefaultSerialization() every time we use simple cache with max size.
|
||||
@ -428,7 +428,7 @@ public:
|
||||
return serialization_cache.emplace(variant_name, variant_type->getDefaultSerialization()).first->second;
|
||||
}
|
||||
|
||||
const SerializationPtr & getVariantSerialization(const DataTypePtr & variant_type) const { return getVariantSerialization(variant_type, variant_type->getName()); }
|
||||
const SerializationPtr & getVariantSerialization(const DataTypePtr & variant_type) { return getVariantSerialization(variant_type, variant_type->getName()); }
|
||||
|
||||
private:
|
||||
void createVariantInfo(const DataTypePtr & variant_type);
|
||||
@ -473,7 +473,7 @@ private:
|
||||
/// We can use serializations of different data types to serialize values into shared variant.
|
||||
/// To avoid creating the same serialization multiple times, use simple cache.
|
||||
static const size_t SERIALIZATION_CACHE_MAX_SIZE = 256;
|
||||
mutable std::unordered_map<String, SerializationPtr> serialization_cache;
|
||||
std::unordered_map<String, SerializationPtr> serialization_cache;
|
||||
};
|
||||
|
||||
void extendVariantColumn(
|
||||
|
||||
@ -13,6 +13,7 @@
|
||||
#include <IO/ReadHelpers.h>
|
||||
#include <Interpreters/Context.h>
|
||||
#include <Core/Settings.h>
|
||||
#include <Poco/Environment.h>
|
||||
|
||||
#pragma clang diagnostic ignored "-Wreserved-identifier"
|
||||
|
||||
@ -371,8 +372,8 @@ try
|
||||
/// in case of double fault.
|
||||
|
||||
LOG_FATAL(log, "########## Short fault info ############");
|
||||
LOG_FATAL(log, "(version {}{}, build id: {}, git hash: {}) (from thread {}) Received signal {}",
|
||||
VERSION_STRING, VERSION_OFFICIAL, daemon ? daemon->build_id : "", GIT_HASH,
|
||||
LOG_FATAL(log, "(version {}{}, build id: {}, git hash: {}, architecture: {}) (from thread {}) Received signal {}",
|
||||
VERSION_STRING, VERSION_OFFICIAL, daemon ? daemon->build_id : "", GIT_HASH, Poco::Environment::osArchitecture(),
|
||||
thread_num, sig);
|
||||
|
||||
std::string signal_description = "Unknown signal";
|
||||
|
||||
@ -185,7 +185,7 @@ std::unique_ptr<IDataType::SubstreamData> DataTypeDynamic::getDynamicSubcolumnDa
|
||||
auto type = decodeDataType(buf);
|
||||
if (type->getName() == subcolumn_type_name)
|
||||
{
|
||||
dynamic_column.getVariantSerialization(subcolumn_type, subcolumn_type_name)->deserializeBinary(*subcolumn, buf, format_settings);
|
||||
subcolumn_type->getDefaultSerialization()->deserializeBinary(*subcolumn, buf, format_settings);
|
||||
null_map.push_back(0);
|
||||
}
|
||||
else
|
||||
|
||||
@ -1,10 +1,12 @@
|
||||
#include <DataTypes/DataTypeFactory.h>
|
||||
#include <DataTypes/DataTypeObject.h>
|
||||
#include <DataTypes/DataTypeObjectDeprecated.h>
|
||||
#include <DataTypes/Serializations/SerializationJSON.h>
|
||||
#include <DataTypes/Serializations/SerializationObjectTypedPath.h>
|
||||
#include <DataTypes/Serializations/SerializationObjectDynamicPath.h>
|
||||
#include <DataTypes/Serializations/SerializationSubObject.h>
|
||||
#include <Columns/ColumnObject.h>
|
||||
#include <Common/CurrentThread.h>
|
||||
|
||||
#include <Parsers/IAST.h>
|
||||
#include <Parsers/ASTLiteral.h>
|
||||
@ -513,13 +515,24 @@ static DataTypePtr createObject(const ASTPtr & arguments, const DataTypeObject::
|
||||
|
||||
static DataTypePtr createJSON(const ASTPtr & arguments)
|
||||
{
|
||||
auto context = CurrentThread::getQueryContext();
|
||||
if (!context)
|
||||
context = Context::getGlobalContextInstance();
|
||||
|
||||
if (context->getSettingsRef().use_json_alias_for_old_object_type)
|
||||
{
|
||||
if (arguments && !arguments->children.empty())
|
||||
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Experimental Object type doesn't support any arguments. If you want to use new JSON type, set setting allow_experimental_json_type = 1");
|
||||
|
||||
return std::make_shared<DataTypeObjectDeprecated>("JSON", false);
|
||||
}
|
||||
|
||||
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);
|
||||
factory.registerDataType("JSON", createJSON, DataTypeFactory::Case::Insensitive);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@ -78,10 +78,6 @@ static DataTypePtr create(const ASTPtr & arguments)
|
||||
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<DataTypeObjectDeprecated>("JSON", false); },
|
||||
DataTypeFactory::Case::Insensitive);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@ -489,9 +489,8 @@ void SerializationDynamic::serializeBinary(const IColumn & column, size_t row_nu
|
||||
}
|
||||
|
||||
const auto & variant_type = assert_cast<const DataTypeVariant &>(*variant_info.variant_type).getVariant(global_discr);
|
||||
const auto & variant_type_name = variant_info.variant_names[global_discr];
|
||||
encodeDataType(variant_type, ostr);
|
||||
dynamic_column.getVariantSerialization(variant_type, variant_type_name)->serializeBinary(variant_column.getVariantByGlobalDiscriminator(global_discr), variant_column.offsetAt(row_num), ostr, settings);
|
||||
variant_type->getDefaultSerialization()->serializeBinary(variant_column.getVariantByGlobalDiscriminator(global_discr), variant_column.offsetAt(row_num), ostr, settings);
|
||||
}
|
||||
|
||||
template <typename ReturnType = void, typename DeserializeFunc>
|
||||
@ -629,7 +628,7 @@ static void serializeTextImpl(
|
||||
ReadBufferFromMemory buf(value.data, value.size);
|
||||
auto variant_type = decodeDataType(buf);
|
||||
auto tmp_variant_column = variant_type->createColumn();
|
||||
auto variant_serialization = dynamic_column.getVariantSerialization(variant_type);
|
||||
auto variant_serialization = variant_type->getDefaultSerialization();
|
||||
variant_serialization->deserializeBinary(*tmp_variant_column, buf, settings);
|
||||
nested_serialize(*variant_serialization, *tmp_variant_column, 0, ostr);
|
||||
}
|
||||
|
||||
@ -35,9 +35,10 @@ class RegionsNames
|
||||
M(et, ru, 11) \
|
||||
M(pt, en, 12) \
|
||||
M(he, en, 13) \
|
||||
M(vi, en, 14)
|
||||
M(vi, en, 14) \
|
||||
M(es, en, 15)
|
||||
|
||||
static constexpr size_t total_languages = 15;
|
||||
static constexpr size_t total_languages = 16;
|
||||
|
||||
public:
|
||||
enum class Language : size_t
|
||||
|
||||
@ -1179,6 +1179,12 @@ public:
|
||||
const FormatSettings & format_settings,
|
||||
String & error) const override
|
||||
{
|
||||
if (element.isNull() && format_settings.null_as_default)
|
||||
{
|
||||
column.insertDefault();
|
||||
return true;
|
||||
}
|
||||
|
||||
auto & tuple = assert_cast<ColumnTuple &>(column);
|
||||
size_t old_size = column.size();
|
||||
bool were_valid_elements = false;
|
||||
@ -1298,6 +1304,12 @@ public:
|
||||
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 Map value from JSON element: {}", jsonElementToString<JSONParser>(element, format_settings));
|
||||
@ -1362,6 +1374,14 @@ public:
|
||||
String & error) const override
|
||||
{
|
||||
auto & column_variant = assert_cast<ColumnVariant &>(column);
|
||||
|
||||
/// Check if element is NULL.
|
||||
if (element.isNull())
|
||||
{
|
||||
column_variant.insertDefault();
|
||||
return true;
|
||||
}
|
||||
|
||||
for (size_t i : order)
|
||||
{
|
||||
auto & variant = column_variant.getVariantByGlobalDiscriminator(i);
|
||||
|
||||
@ -284,12 +284,12 @@ void OrdinalDate::init(int64_t modified_julian_day)
|
||||
|
||||
bool OrdinalDate::tryInit(int64_t modified_julian_day)
|
||||
{
|
||||
/// This function supports day number from -678941 to 2973119 (which represent 0000-01-01 and 9999-12-31 respectively).
|
||||
/// This function supports day number from -678941 to 2973483 (which represent 0000-01-01 and 9999-12-31 respectively).
|
||||
|
||||
if (modified_julian_day < -678941)
|
||||
return false;
|
||||
|
||||
if (modified_julian_day > 2973119)
|
||||
if (modified_julian_day > 2973483)
|
||||
return false;
|
||||
|
||||
const auto a = modified_julian_day + 678575;
|
||||
|
||||
@ -4,17 +4,21 @@
|
||||
|
||||
#if USE_ICU
|
||||
|
||||
#include <Columns/ColumnString.h>
|
||||
#include <Functions/LowerUpperImpl.h>
|
||||
#include <unicode/unistr.h>
|
||||
#include <Common/StringUtils.h>
|
||||
# include <Columns/ColumnString.h>
|
||||
# include <Functions/LowerUpperImpl.h>
|
||||
# include <unicode/ucasemap.h>
|
||||
# include <unicode/unistr.h>
|
||||
# include <unicode/urename.h>
|
||||
# include <unicode/utypes.h>
|
||||
# include <Common/StringUtils.h>
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int BAD_ARGUMENTS;
|
||||
extern const int BAD_ARGUMENTS;
|
||||
extern const int LOGICAL_ERROR;
|
||||
}
|
||||
|
||||
template <char not_case_lower_bound, char not_case_upper_bound, bool upper>
|
||||
@ -27,7 +31,7 @@ struct LowerUpperUTF8Impl
|
||||
ColumnString::Offsets & res_offsets,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
if (data.empty())
|
||||
if (input_rows_count == 0)
|
||||
return;
|
||||
|
||||
bool all_ascii = isAllASCII(data.data(), data.size());
|
||||
@ -38,39 +42,56 @@ struct LowerUpperUTF8Impl
|
||||
}
|
||||
|
||||
res_data.resize(data.size());
|
||||
res_offsets.resize_exact(offsets.size());
|
||||
res_offsets.resize_exact(input_rows_count);
|
||||
|
||||
UErrorCode error_code = U_ZERO_ERROR;
|
||||
UCaseMap * case_map = ucasemap_open("", U_FOLD_CASE_DEFAULT, &error_code);
|
||||
if (U_FAILURE(error_code))
|
||||
throw DB::Exception(ErrorCodes::LOGICAL_ERROR, "Error calling ucasemap_open: {}", u_errorName(error_code));
|
||||
|
||||
String output;
|
||||
size_t curr_offset = 0;
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
for (size_t row_i = 0; row_i < input_rows_count; ++row_i)
|
||||
{
|
||||
const auto * data_start = reinterpret_cast<const char *>(&data[offsets[i - 1]]);
|
||||
size_t size = offsets[i] - offsets[i - 1];
|
||||
const auto * src = reinterpret_cast<const char *>(&data[offsets[row_i - 1]]);
|
||||
size_t src_size = offsets[row_i] - offsets[row_i - 1] - 1;
|
||||
|
||||
icu::UnicodeString input(data_start, static_cast<int32_t>(size), "UTF-8");
|
||||
int32_t dst_size;
|
||||
if constexpr (upper)
|
||||
input.toUpper();
|
||||
dst_size = ucasemap_utf8ToUpper(
|
||||
case_map, reinterpret_cast<char *>(&res_data[curr_offset]), res_data.size() - curr_offset, src, src_size, &error_code);
|
||||
else
|
||||
input.toLower();
|
||||
dst_size = ucasemap_utf8ToLower(
|
||||
case_map, reinterpret_cast<char *>(&res_data[curr_offset]), res_data.size() - curr_offset, src, src_size, &error_code);
|
||||
|
||||
output.clear();
|
||||
input.toUTF8String(output);
|
||||
if (error_code == U_BUFFER_OVERFLOW_ERROR || error_code == U_STRING_NOT_TERMINATED_WARNING)
|
||||
{
|
||||
size_t new_size = curr_offset + dst_size + 1;
|
||||
res_data.resize(new_size);
|
||||
|
||||
/// For valid UTF-8 input strings, ICU sometimes produces output with an extra '\0 at the end. Only the data before that
|
||||
/// '\0' is valid. If the input is not valid UTF-8, then the behavior of lower/upperUTF8 is undefined by definition. In this
|
||||
/// case, the behavior is also reasonable.
|
||||
size_t valid_size = output.size();
|
||||
if (!output.empty() && output.back() == '\0')
|
||||
--valid_size;
|
||||
error_code = U_ZERO_ERROR;
|
||||
if constexpr (upper)
|
||||
dst_size = ucasemap_utf8ToUpper(
|
||||
case_map, reinterpret_cast<char *>(&res_data[curr_offset]), res_data.size() - curr_offset, src, src_size, &error_code);
|
||||
else
|
||||
dst_size = ucasemap_utf8ToLower(
|
||||
case_map, reinterpret_cast<char *>(&res_data[curr_offset]), res_data.size() - curr_offset, src, src_size, &error_code);
|
||||
}
|
||||
|
||||
res_data.resize(curr_offset + valid_size + 1);
|
||||
if (error_code != U_ZERO_ERROR)
|
||||
throw DB::Exception(
|
||||
ErrorCodes::LOGICAL_ERROR,
|
||||
"Error calling {}: {} input: {} input_size: {}",
|
||||
upper ? "ucasemap_utf8ToUpper" : "ucasemap_utf8ToLower",
|
||||
u_errorName(error_code),
|
||||
std::string_view(src, src_size),
|
||||
src_size);
|
||||
|
||||
memcpy(&res_data[curr_offset], output.data(), valid_size);
|
||||
res_data[curr_offset + valid_size] = 0;
|
||||
|
||||
curr_offset += valid_size + 1;
|
||||
res_offsets[i] = curr_offset;
|
||||
res_data[curr_offset + dst_size] = 0;
|
||||
curr_offset += dst_size + 1;
|
||||
res_offsets[row_i] = curr_offset;
|
||||
}
|
||||
|
||||
res_data.resize(curr_offset);
|
||||
}
|
||||
|
||||
static void vectorFixed(const ColumnString::Chars &, size_t, ColumnString::Chars &, size_t)
|
||||
|
||||
@ -91,6 +91,8 @@ void ProgressValues::writeJSON(WriteBuffer & out) const
|
||||
writeText(result_bytes, out);
|
||||
writeCString("\",\"elapsed_ns\":\"", out);
|
||||
writeText(elapsed_ns, out);
|
||||
writeCString("\",\"real_time_microseconds\":\"", out);
|
||||
writeText(real_time_microseconds, out);
|
||||
writeCString("\"", out);
|
||||
writeCString("}", out);
|
||||
}
|
||||
@ -110,6 +112,7 @@ bool Progress::incrementPiecewiseAtomically(const Progress & rhs)
|
||||
result_bytes += rhs.result_bytes;
|
||||
|
||||
elapsed_ns += rhs.elapsed_ns;
|
||||
real_time_microseconds += rhs.real_time_microseconds;
|
||||
|
||||
return rhs.read_rows || rhs.written_rows;
|
||||
}
|
||||
@ -129,6 +132,7 @@ void Progress::reset()
|
||||
result_bytes = 0;
|
||||
|
||||
elapsed_ns = 0;
|
||||
real_time_microseconds = 0;
|
||||
}
|
||||
|
||||
ProgressValues Progress::getValues() const
|
||||
@ -148,6 +152,7 @@ ProgressValues Progress::getValues() const
|
||||
res.result_bytes = result_bytes.load(std::memory_order_relaxed);
|
||||
|
||||
res.elapsed_ns = elapsed_ns.load(std::memory_order_relaxed);
|
||||
res.real_time_microseconds = real_time_microseconds.load(std::memory_order_relaxed);
|
||||
|
||||
return res;
|
||||
}
|
||||
@ -169,6 +174,7 @@ ProgressValues Progress::fetchValuesAndResetPiecewiseAtomically()
|
||||
res.result_bytes = result_bytes.fetch_and(0);
|
||||
|
||||
res.elapsed_ns = elapsed_ns.fetch_and(0);
|
||||
res.real_time_microseconds = real_time_microseconds.fetch_and(0);
|
||||
|
||||
return res;
|
||||
}
|
||||
@ -190,6 +196,7 @@ Progress Progress::fetchAndResetPiecewiseAtomically()
|
||||
res.result_bytes = result_bytes.fetch_and(0);
|
||||
|
||||
res.elapsed_ns = elapsed_ns.fetch_and(0);
|
||||
res.real_time_microseconds = real_time_microseconds.fetch_and(0);
|
||||
|
||||
return res;
|
||||
}
|
||||
@ -209,6 +216,7 @@ Progress & Progress::operator=(Progress && other) noexcept
|
||||
result_bytes = other.result_bytes.load(std::memory_order_relaxed);
|
||||
|
||||
elapsed_ns = other.elapsed_ns.load(std::memory_order_relaxed);
|
||||
real_time_microseconds = other.real_time_microseconds.load(std::memory_order_relaxed);
|
||||
|
||||
return *this;
|
||||
}
|
||||
@ -244,4 +252,9 @@ void Progress::incrementElapsedNs(UInt64 elapsed_ns_)
|
||||
elapsed_ns.fetch_add(elapsed_ns_, std::memory_order_relaxed);
|
||||
}
|
||||
|
||||
void Progress::incrementRealTimeMicroseconds(UInt64 microseconds)
|
||||
{
|
||||
real_time_microseconds.fetch_add(microseconds, std::memory_order_relaxed);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@ -28,6 +28,7 @@ struct ProgressValues
|
||||
UInt64 result_bytes = 0;
|
||||
|
||||
UInt64 elapsed_ns = 0;
|
||||
UInt64 real_time_microseconds = 0;
|
||||
|
||||
void read(ReadBuffer & in, UInt64 server_revision);
|
||||
void write(WriteBuffer & out, UInt64 client_revision) const;
|
||||
@ -40,6 +41,7 @@ struct ReadProgress
|
||||
UInt64 read_bytes = 0;
|
||||
UInt64 total_rows_to_read = 0;
|
||||
UInt64 total_bytes_to_read = 0;
|
||||
UInt64 real_time_microseconds = 0;
|
||||
|
||||
ReadProgress(UInt64 read_rows_, UInt64 read_bytes_, UInt64 total_rows_to_read_ = 0, UInt64 total_bytes_to_read_ = 0)
|
||||
: read_rows(read_rows_), read_bytes(read_bytes_), total_rows_to_read(total_rows_to_read_), total_bytes_to_read(total_bytes_to_read_) {}
|
||||
@ -96,6 +98,8 @@ struct Progress
|
||||
|
||||
std::atomic<UInt64> elapsed_ns {0};
|
||||
|
||||
std::atomic<UInt64> real_time_microseconds {0};
|
||||
|
||||
Progress() = default;
|
||||
|
||||
Progress(UInt64 read_rows_, UInt64 read_bytes_, UInt64 total_rows_to_read_ = 0, UInt64 total_bytes_to_read_ = 0)
|
||||
@ -125,6 +129,8 @@ struct Progress
|
||||
|
||||
void incrementElapsedNs(UInt64 elapsed_ns_);
|
||||
|
||||
void incrementRealTimeMicroseconds(UInt64 microseconds);
|
||||
|
||||
void reset();
|
||||
|
||||
ProgressValues getValues() const;
|
||||
|
||||
@ -443,6 +443,7 @@ std::unique_ptr<ReadBuffer> ReadWriteBufferFromHTTP::initialize()
|
||||
}
|
||||
|
||||
response.getCookies(cookies);
|
||||
response.getHeaders(response_headers);
|
||||
content_encoding = response.get("Content-Encoding", "");
|
||||
|
||||
// Remember file size. It'll be used to report eof in next nextImpl() call.
|
||||
@ -680,6 +681,19 @@ std::string ReadWriteBufferFromHTTP::getResponseCookie(const std::string & name,
|
||||
return def;
|
||||
}
|
||||
|
||||
Map ReadWriteBufferFromHTTP::getResponseHeaders() const
|
||||
{
|
||||
Map map;
|
||||
for (const auto & header : response_headers)
|
||||
{
|
||||
Tuple elem;
|
||||
elem.emplace_back(header.first);
|
||||
elem.emplace_back(header.second);
|
||||
map.emplace_back(elem);
|
||||
}
|
||||
return map;
|
||||
}
|
||||
|
||||
void ReadWriteBufferFromHTTP::setNextCallback(NextCallback next_callback_)
|
||||
{
|
||||
next_callback = next_callback_;
|
||||
|
||||
@ -90,6 +90,9 @@ private:
|
||||
std::unique_ptr<ReadBuffer> impl;
|
||||
|
||||
std::vector<Poco::Net::HTTPCookie> cookies;
|
||||
|
||||
std::map<String, String> response_headers;
|
||||
|
||||
HTTPHeaderEntries http_header_entries;
|
||||
std::function<void(size_t)> next_callback;
|
||||
|
||||
@ -187,6 +190,8 @@ public:
|
||||
|
||||
HTTPFileInfo getFileInfo();
|
||||
static HTTPFileInfo parseFileInfo(const Poco::Net::HTTPResponse & response, size_t requested_range_begin);
|
||||
|
||||
Map getResponseHeaders() const;
|
||||
};
|
||||
|
||||
using ReadWriteBufferFromHTTPPtr = std::unique_ptr<ReadWriteBufferFromHTTP>;
|
||||
|
||||
@ -59,6 +59,18 @@ class CompiledAggregateFunctionsHolder;
|
||||
class NativeWriter;
|
||||
struct OutputBlockColumns;
|
||||
|
||||
struct GroupingSetsParams
|
||||
{
|
||||
GroupingSetsParams() = default;
|
||||
|
||||
GroupingSetsParams(Names used_keys_, Names missing_keys_) : used_keys(std::move(used_keys_)), missing_keys(std::move(missing_keys_)) { }
|
||||
|
||||
Names used_keys;
|
||||
Names missing_keys;
|
||||
};
|
||||
|
||||
using GroupingSetsParamsList = std::vector<GroupingSetsParams>;
|
||||
|
||||
/** How are "total" values calculated with WITH TOTALS?
|
||||
* (For more details, see TotalsHavingTransform.)
|
||||
*
|
||||
|
||||
@ -389,6 +389,10 @@ AsynchronousInsertQueue::pushDataChunk(ASTPtr query, DataChunk chunk, ContextPtr
|
||||
if (data_kind == DataKind::Preprocessed)
|
||||
insert_query.format = "Native";
|
||||
|
||||
/// Query parameters make sense only for format Values.
|
||||
if (insert_query.format == "Values")
|
||||
entry->query_parameters = query_context->getQueryParameters();
|
||||
|
||||
InsertQuery key{query, query_context->getUserID(), query_context->getCurrentRoles(), settings, data_kind};
|
||||
InsertDataPtr data_to_process;
|
||||
std::future<void> insert_future;
|
||||
@ -999,13 +1003,20 @@ Chunk AsynchronousInsertQueue::processEntriesWithParsing(
|
||||
"Expected entry with data kind Parsed. Got: {}", entry->chunk.getDataKind());
|
||||
|
||||
auto buffer = std::make_unique<ReadBufferFromString>(*bytes);
|
||||
executor.setQueryParameters(entry->query_parameters);
|
||||
|
||||
size_t num_bytes = bytes->size();
|
||||
size_t num_rows = executor.execute(*buffer);
|
||||
|
||||
total_rows += num_rows;
|
||||
chunk_info->offsets.push_back(total_rows);
|
||||
chunk_info->tokens.push_back(entry->async_dedup_token);
|
||||
/// for some reason, client can pass zero rows and bytes to server.
|
||||
/// We don't update offsets in this case, because we assume every insert has some rows during dedup
|
||||
/// but we have nothing to deduplicate for this insert.
|
||||
if (num_rows > 0)
|
||||
{
|
||||
chunk_info->offsets.push_back(total_rows);
|
||||
chunk_info->tokens.push_back(entry->async_dedup_token);
|
||||
}
|
||||
|
||||
add_to_async_insert_log(entry, query_for_logging, current_exception, num_rows, num_bytes, data->timeout_ms);
|
||||
|
||||
@ -1056,8 +1067,14 @@ Chunk AsynchronousInsertQueue::processPreprocessedEntries(
|
||||
result_columns[i]->insertRangeFrom(*columns[i], 0, columns[i]->size());
|
||||
|
||||
total_rows += block->rows();
|
||||
chunk_info->offsets.push_back(total_rows);
|
||||
chunk_info->tokens.push_back(entry->async_dedup_token);
|
||||
/// for some reason, client can pass zero rows and bytes to server.
|
||||
/// We don't update offsets in this case, because we assume every insert has some rows during dedup,
|
||||
/// but we have nothing to deduplicate for this insert.
|
||||
if (block->rows())
|
||||
{
|
||||
chunk_info->offsets.push_back(total_rows);
|
||||
chunk_info->tokens.push_back(entry->async_dedup_token);
|
||||
}
|
||||
|
||||
const auto & query_for_logging = get_query_by_format(entry->format);
|
||||
add_to_async_insert_log(entry, query_for_logging, "", block->rows(), block->bytes(), data->timeout_ms);
|
||||
|
||||
@ -147,6 +147,7 @@ private:
|
||||
const String format;
|
||||
MemoryTracker * const user_memory_tracker;
|
||||
const std::chrono::time_point<std::chrono::system_clock> create_time;
|
||||
NameToNameMap query_parameters;
|
||||
|
||||
Entry(
|
||||
DataChunk && chunk_,
|
||||
|
||||
@ -107,7 +107,9 @@ BlockIO InterpreterDeleteQuery::execute()
|
||||
String alter_query =
|
||||
"ALTER TABLE " + table->getStorageID().getFullTableName()
|
||||
+ (delete_query.cluster.empty() ? "" : " ON CLUSTER " + backQuoteIfNeed(delete_query.cluster))
|
||||
+ " UPDATE `_row_exists` = 0 WHERE " + serializeAST(*delete_query.predicate);
|
||||
+ " UPDATE `_row_exists` = 0"
|
||||
+ (delete_query.partition ? " IN PARTITION " + serializeAST(*delete_query.partition) : "")
|
||||
+ " WHERE " + serializeAST(*delete_query.predicate);
|
||||
|
||||
ParserAlterQuery parser;
|
||||
ASTPtr alter_ast = parseQuery(
|
||||
|
||||
@ -347,6 +347,27 @@ bool shouldIgnoreQuotaAndLimits(const StorageID & table_id)
|
||||
return false;
|
||||
}
|
||||
|
||||
GroupingSetsParamsList getAggregatorGroupingSetsParams(const NamesAndTypesLists & aggregation_keys_list, const Names & all_keys)
|
||||
{
|
||||
GroupingSetsParamsList result;
|
||||
|
||||
for (const auto & aggregation_keys : aggregation_keys_list)
|
||||
{
|
||||
NameSet keys;
|
||||
for (const auto & key : aggregation_keys)
|
||||
keys.insert(key.name);
|
||||
|
||||
Names missing_keys;
|
||||
for (const auto & key : all_keys)
|
||||
if (!keys.contains(key))
|
||||
missing_keys.push_back(key);
|
||||
|
||||
result.emplace_back(aggregation_keys.getNames(), std::move(missing_keys));
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
InterpreterSelectQuery::InterpreterSelectQuery(
|
||||
@ -2005,13 +2026,12 @@ static void executeMergeAggregatedImpl(
|
||||
bool has_grouping_sets,
|
||||
const Settings & settings,
|
||||
const NamesAndTypesList & aggregation_keys,
|
||||
const NamesAndTypesLists & aggregation_keys_list,
|
||||
const AggregateDescriptions & aggregates,
|
||||
bool should_produce_results_in_order_of_bucket_number,
|
||||
SortDescription group_by_sort_description)
|
||||
{
|
||||
auto keys = aggregation_keys.getNames();
|
||||
if (has_grouping_sets)
|
||||
keys.insert(keys.begin(), "__grouping_set");
|
||||
|
||||
/** There are two modes of distributed aggregation.
|
||||
*
|
||||
@ -2029,10 +2049,12 @@ static void executeMergeAggregatedImpl(
|
||||
*/
|
||||
|
||||
Aggregator::Params params(keys, aggregates, overflow_row, settings.max_threads, settings.max_block_size, settings.min_hit_rate_to_use_consecutive_keys_optimization);
|
||||
auto grouping_sets_params = getAggregatorGroupingSetsParams(aggregation_keys_list, keys);
|
||||
|
||||
auto merging_aggregated = std::make_unique<MergingAggregatedStep>(
|
||||
query_plan.getCurrentDataStream(),
|
||||
params,
|
||||
grouping_sets_params,
|
||||
final,
|
||||
/// Grouping sets don't work with distributed_aggregation_memory_efficient enabled (#43989)
|
||||
settings.distributed_aggregation_memory_efficient && is_remote_storage && !has_grouping_sets,
|
||||
@ -2653,30 +2675,6 @@ static Aggregator::Params getAggregatorParams(
|
||||
};
|
||||
}
|
||||
|
||||
static GroupingSetsParamsList getAggregatorGroupingSetsParams(const SelectQueryExpressionAnalyzer & query_analyzer, const Names & all_keys)
|
||||
{
|
||||
GroupingSetsParamsList result;
|
||||
if (query_analyzer.useGroupingSetKey())
|
||||
{
|
||||
auto const & aggregation_keys_list = query_analyzer.aggregationKeysList();
|
||||
|
||||
for (const auto & aggregation_keys : aggregation_keys_list)
|
||||
{
|
||||
NameSet keys;
|
||||
for (const auto & key : aggregation_keys)
|
||||
keys.insert(key.name);
|
||||
|
||||
Names missing_keys;
|
||||
for (const auto & key : all_keys)
|
||||
if (!keys.contains(key))
|
||||
missing_keys.push_back(key);
|
||||
|
||||
result.emplace_back(aggregation_keys.getNames(), std::move(missing_keys));
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
void InterpreterSelectQuery::executeAggregation(QueryPlan & query_plan, const ActionsAndProjectInputsFlagPtr & expression, bool overflow_row, bool final, InputOrderInfoPtr group_by_info)
|
||||
{
|
||||
executeExpression(query_plan, expression, "Before GROUP BY");
|
||||
@ -2696,7 +2694,7 @@ void InterpreterSelectQuery::executeAggregation(QueryPlan & query_plan, const Ac
|
||||
settings.group_by_two_level_threshold,
|
||||
settings.group_by_two_level_threshold_bytes);
|
||||
|
||||
auto grouping_sets_params = getAggregatorGroupingSetsParams(*query_analyzer, keys);
|
||||
auto grouping_sets_params = getAggregatorGroupingSetsParams(query_analyzer->aggregationKeysList(), keys);
|
||||
|
||||
SortDescription group_by_sort_description;
|
||||
SortDescription sort_description_for_merging;
|
||||
@ -2764,6 +2762,7 @@ void InterpreterSelectQuery::executeMergeAggregated(QueryPlan & query_plan, bool
|
||||
has_grouping_sets,
|
||||
context->getSettingsRef(),
|
||||
query_analyzer->aggregationKeys(),
|
||||
query_analyzer->aggregationKeysList(),
|
||||
query_analyzer->aggregates(),
|
||||
should_produce_results_in_order_of_bucket_number,
|
||||
std::move(group_by_sort_description));
|
||||
|
||||
@ -90,6 +90,7 @@ namespace ProfileEvents
|
||||
extern const Event SelectQueryTimeMicroseconds;
|
||||
extern const Event InsertQueryTimeMicroseconds;
|
||||
extern const Event OtherQueryTimeMicroseconds;
|
||||
extern const Event RealTimeMicroseconds;
|
||||
}
|
||||
|
||||
namespace DB
|
||||
@ -398,9 +399,14 @@ void logQueryFinish(
|
||||
/// Update performance counters before logging to query_log
|
||||
CurrentThread::finalizePerformanceCounters();
|
||||
|
||||
QueryStatusInfo info = process_list_elem->getInfo(true, context->getSettingsRef().log_profile_events);
|
||||
elem.type = QueryLogElementType::QUERY_FINISH;
|
||||
std::shared_ptr<ProfileEvents::Counters::Snapshot> profile_counters;
|
||||
QueryStatusInfo info = process_list_elem->getInfo(true, true);
|
||||
if (context->getSettingsRef().log_profile_events)
|
||||
profile_counters = info.profile_counters;
|
||||
else
|
||||
profile_counters.swap(info.profile_counters);
|
||||
|
||||
elem.type = QueryLogElementType::QUERY_FINISH;
|
||||
addStatusInfoToQueryLogElement(elem, info, query_ast, context);
|
||||
|
||||
if (pulling_pipeline)
|
||||
@ -419,6 +425,7 @@ void logQueryFinish(
|
||||
{
|
||||
Progress p;
|
||||
p.incrementPiecewiseAtomically(Progress{ResultProgress{elem.result_rows, elem.result_bytes}});
|
||||
p.incrementRealTimeMicroseconds((*profile_counters)[ProfileEvents::RealTimeMicroseconds]);
|
||||
progress_callback(p);
|
||||
}
|
||||
|
||||
|
||||
@ -45,6 +45,12 @@ void ASTDeleteQuery::formatQueryImpl(const FormatSettings & settings, FormatStat
|
||||
|
||||
formatOnCluster(settings);
|
||||
|
||||
if (partition)
|
||||
{
|
||||
settings.ostr << (settings.hilite ? hilite_keyword : "") << " IN PARTITION " << (settings.hilite ? hilite_none : "");
|
||||
partition->formatImpl(settings, state, frame);
|
||||
}
|
||||
|
||||
settings.ostr << (settings.hilite ? hilite_keyword : "") << " WHERE " << (settings.hilite ? hilite_none : "");
|
||||
predicate->formatImpl(settings, state, frame);
|
||||
}
|
||||
|
||||
@ -19,6 +19,11 @@ public:
|
||||
return removeOnCluster<ASTDeleteQuery>(clone(), params.default_database);
|
||||
}
|
||||
|
||||
/** Used in DELETE FROM queries.
|
||||
* The value or ID of the partition is stored here.
|
||||
*/
|
||||
ASTPtr partition;
|
||||
|
||||
ASTPtr predicate;
|
||||
|
||||
protected:
|
||||
|
||||
@ -3,6 +3,7 @@
|
||||
#include <Parsers/parseDatabaseAndTableName.h>
|
||||
#include <Parsers/ExpressionListParsers.h>
|
||||
#include <Parsers/ParserSetQuery.h>
|
||||
#include <Parsers/ParserPartition.h>
|
||||
|
||||
|
||||
namespace DB
|
||||
@ -15,11 +16,14 @@ bool ParserDeleteQuery::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
|
||||
|
||||
ParserKeyword s_delete(Keyword::DELETE);
|
||||
ParserKeyword s_from(Keyword::FROM);
|
||||
ParserKeyword s_in_partition(Keyword::IN_PARTITION);
|
||||
ParserKeyword s_where(Keyword::WHERE);
|
||||
ParserExpression parser_exp_elem;
|
||||
ParserKeyword s_settings(Keyword::SETTINGS);
|
||||
ParserKeyword s_on{Keyword::ON};
|
||||
|
||||
ParserPartition parser_partition;
|
||||
|
||||
if (s_delete.ignore(pos, expected))
|
||||
{
|
||||
if (!s_from.ignore(pos, expected))
|
||||
@ -36,6 +40,12 @@ bool ParserDeleteQuery::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
|
||||
query->cluster = cluster_str;
|
||||
}
|
||||
|
||||
if (s_in_partition.ignore(pos, expected))
|
||||
{
|
||||
if (!parser_partition.parse(pos, query->partition, expected))
|
||||
return false;
|
||||
}
|
||||
|
||||
if (!s_where.ignore(pos, expected))
|
||||
return false;
|
||||
|
||||
@ -53,6 +63,9 @@ bool ParserDeleteQuery::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
|
||||
else
|
||||
return false;
|
||||
|
||||
if (query->partition)
|
||||
query->children.push_back(query->partition);
|
||||
|
||||
if (query->predicate)
|
||||
query->children.push_back(query->predicate);
|
||||
|
||||
|
||||
@ -504,8 +504,6 @@ void addMergingAggregatedStep(QueryPlan & query_plan,
|
||||
*/
|
||||
|
||||
auto keys = aggregation_analysis_result.aggregation_keys;
|
||||
if (!aggregation_analysis_result.grouping_sets_parameters_list.empty())
|
||||
keys.insert(keys.begin(), "__grouping_set");
|
||||
|
||||
Aggregator::Params params(keys,
|
||||
aggregation_analysis_result.aggregate_descriptions,
|
||||
@ -530,6 +528,7 @@ void addMergingAggregatedStep(QueryPlan & query_plan,
|
||||
auto merging_aggregated = std::make_unique<MergingAggregatedStep>(
|
||||
query_plan.getCurrentDataStream(),
|
||||
params,
|
||||
aggregation_analysis_result.grouping_sets_parameters_list,
|
||||
query_analysis_result.aggregate_final,
|
||||
/// Grouping sets don't work with distributed_aggregation_memory_efficient enabled (#43989)
|
||||
settings.distributed_aggregation_memory_efficient && (is_remote_storage || parallel_replicas_from_merge_tree) && !query_analysis_result.aggregation_with_rollup_or_cube_or_grouping_sets,
|
||||
|
||||
@ -1,5 +1,6 @@
|
||||
#include <Processors/Executors/StreamingFormatExecutor.h>
|
||||
#include <Processors/Transforms/AddingDefaultsTransform.h>
|
||||
#include <Processors/Formats/Impl/ValuesBlockInputFormat.h>
|
||||
|
||||
namespace DB
|
||||
{
|
||||
@ -32,6 +33,13 @@ MutableColumns StreamingFormatExecutor::getResultColumns()
|
||||
return ret_columns;
|
||||
}
|
||||
|
||||
void StreamingFormatExecutor::setQueryParameters(const NameToNameMap & parameters)
|
||||
{
|
||||
/// Query parameters make sense only for format Values.
|
||||
if (auto * values_format = typeid_cast<ValuesBlockInputFormat *>(format.get()))
|
||||
values_format->setQueryParameters(parameters);
|
||||
}
|
||||
|
||||
size_t StreamingFormatExecutor::execute(ReadBuffer & buffer)
|
||||
{
|
||||
format->setReadBuffer(buffer);
|
||||
|
||||
@ -39,6 +39,9 @@ public:
|
||||
/// Releases currently accumulated columns.
|
||||
MutableColumns getResultColumns();
|
||||
|
||||
/// Sets query parameters for input format if applicable.
|
||||
void setQueryParameters(const NameToNameMap & parameters);
|
||||
|
||||
private:
|
||||
const Block header;
|
||||
const InputFormatPtr format;
|
||||
|
||||
@ -663,6 +663,16 @@ void ValuesBlockInputFormat::resetReadBuffer()
|
||||
IInputFormat::resetReadBuffer();
|
||||
}
|
||||
|
||||
void ValuesBlockInputFormat::setQueryParameters(const NameToNameMap & parameters)
|
||||
{
|
||||
if (parameters == context->getQueryParameters())
|
||||
return;
|
||||
|
||||
auto context_copy = Context::createCopy(context);
|
||||
context_copy->setQueryParameters(parameters);
|
||||
context = std::move(context_copy);
|
||||
}
|
||||
|
||||
ValuesSchemaReader::ValuesSchemaReader(ReadBuffer & in_, const FormatSettings & format_settings_)
|
||||
: IRowSchemaReader(buf, format_settings_), buf(in_)
|
||||
{
|
||||
|
||||
@ -38,6 +38,7 @@ public:
|
||||
|
||||
/// TODO: remove context somehow.
|
||||
void setContext(const ContextPtr & context_) { context = Context::createCopy(context_); }
|
||||
void setQueryParameters(const NameToNameMap & parameters);
|
||||
|
||||
const BlockMissingValues & getMissingValues() const override { return block_missing_values; }
|
||||
|
||||
|
||||
@ -151,6 +151,61 @@ void AggregatingStep::applyOrder(SortDescription sort_description_for_merging_,
|
||||
explicit_sorting_required_for_aggregation_in_order = false;
|
||||
}
|
||||
|
||||
ActionsDAG AggregatingStep::makeCreatingMissingKeysForGroupingSetDAG(
|
||||
const Block & in_header,
|
||||
const Block & out_header,
|
||||
const GroupingSetsParamsList & grouping_sets_params,
|
||||
UInt64 group,
|
||||
bool group_by_use_nulls)
|
||||
{
|
||||
/// Here we create a DAG which fills missing keys and adds `__grouping_set` column
|
||||
ActionsDAG dag(in_header.getColumnsWithTypeAndName());
|
||||
ActionsDAG::NodeRawConstPtrs outputs;
|
||||
outputs.reserve(out_header.columns() + 1);
|
||||
|
||||
auto grouping_col = ColumnConst::create(ColumnUInt64::create(1, group), 0);
|
||||
const auto * grouping_node = &dag.addColumn(
|
||||
{ColumnPtr(std::move(grouping_col)), std::make_shared<DataTypeUInt64>(), "__grouping_set"});
|
||||
|
||||
grouping_node = &dag.materializeNode(*grouping_node);
|
||||
outputs.push_back(grouping_node);
|
||||
|
||||
const auto & missing_columns = grouping_sets_params[group].missing_keys;
|
||||
const auto & used_keys = grouping_sets_params[group].used_keys;
|
||||
|
||||
auto to_nullable_function = FunctionFactory::instance().get("toNullable", nullptr);
|
||||
for (size_t i = 0; i < out_header.columns(); ++i)
|
||||
{
|
||||
const auto & col = out_header.getByPosition(i);
|
||||
const auto missing_it = std::find_if(
|
||||
missing_columns.begin(), missing_columns.end(), [&](const auto & missing_col) { return missing_col == col.name; });
|
||||
const auto used_it = std::find_if(
|
||||
used_keys.begin(), used_keys.end(), [&](const auto & used_col) { return used_col == col.name; });
|
||||
if (missing_it != missing_columns.end())
|
||||
{
|
||||
auto column_with_default = col.column->cloneEmpty();
|
||||
col.type->insertDefaultInto(*column_with_default);
|
||||
column_with_default->finalize();
|
||||
|
||||
auto column = ColumnConst::create(std::move(column_with_default), 0);
|
||||
const auto * node = &dag.addColumn({ColumnPtr(std::move(column)), col.type, col.name});
|
||||
node = &dag.materializeNode(*node);
|
||||
outputs.push_back(node);
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto * column_node = dag.getOutputs()[in_header.getPositionByName(col.name)];
|
||||
if (used_it != used_keys.end() && group_by_use_nulls && column_node->result_type->canBeInsideNullable())
|
||||
outputs.push_back(&dag.addFunction(to_nullable_function, { column_node }, col.name));
|
||||
else
|
||||
outputs.push_back(column_node);
|
||||
}
|
||||
}
|
||||
|
||||
dag.getOutputs().swap(outputs);
|
||||
return dag;
|
||||
}
|
||||
|
||||
void AggregatingStep::transformPipeline(QueryPipelineBuilder & pipeline, const BuildQueryPipelineSettings & settings)
|
||||
{
|
||||
QueryPipelineProcessorsCollector collector(pipeline, this);
|
||||
@ -300,51 +355,7 @@ void AggregatingStep::transformPipeline(QueryPipelineBuilder & pipeline, const B
|
||||
{
|
||||
const auto & header = ports[set_counter]->getHeader();
|
||||
|
||||
/// Here we create a DAG which fills missing keys and adds `__grouping_set` column
|
||||
ActionsDAG dag(header.getColumnsWithTypeAndName());
|
||||
ActionsDAG::NodeRawConstPtrs outputs;
|
||||
outputs.reserve(output_header.columns() + 1);
|
||||
|
||||
auto grouping_col = ColumnConst::create(ColumnUInt64::create(1, set_counter), 0);
|
||||
const auto * grouping_node = &dag.addColumn(
|
||||
{ColumnPtr(std::move(grouping_col)), std::make_shared<DataTypeUInt64>(), "__grouping_set"});
|
||||
|
||||
grouping_node = &dag.materializeNode(*grouping_node);
|
||||
outputs.push_back(grouping_node);
|
||||
|
||||
const auto & missing_columns = grouping_sets_params[set_counter].missing_keys;
|
||||
const auto & used_keys = grouping_sets_params[set_counter].used_keys;
|
||||
|
||||
auto to_nullable_function = FunctionFactory::instance().get("toNullable", nullptr);
|
||||
for (size_t i = 0; i < output_header.columns(); ++i)
|
||||
{
|
||||
auto & col = output_header.getByPosition(i);
|
||||
const auto missing_it = std::find_if(
|
||||
missing_columns.begin(), missing_columns.end(), [&](const auto & missing_col) { return missing_col == col.name; });
|
||||
const auto used_it = std::find_if(
|
||||
used_keys.begin(), used_keys.end(), [&](const auto & used_col) { return used_col == col.name; });
|
||||
if (missing_it != missing_columns.end())
|
||||
{
|
||||
auto column_with_default = col.column->cloneEmpty();
|
||||
col.type->insertDefaultInto(*column_with_default);
|
||||
column_with_default->finalize();
|
||||
|
||||
auto column = ColumnConst::create(std::move(column_with_default), 0);
|
||||
const auto * node = &dag.addColumn({ColumnPtr(std::move(column)), col.type, col.name});
|
||||
node = &dag.materializeNode(*node);
|
||||
outputs.push_back(node);
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto * column_node = dag.getOutputs()[header.getPositionByName(col.name)];
|
||||
if (used_it != used_keys.end() && group_by_use_nulls && column_node->result_type->canBeInsideNullable())
|
||||
outputs.push_back(&dag.addFunction(to_nullable_function, { column_node }, col.name));
|
||||
else
|
||||
outputs.push_back(column_node);
|
||||
}
|
||||
}
|
||||
|
||||
dag.getOutputs().swap(outputs);
|
||||
auto dag = makeCreatingMissingKeysForGroupingSetDAG(header, output_header, grouping_sets_params, set_counter, group_by_use_nulls);
|
||||
auto expression = std::make_shared<ExpressionActions>(std::move(dag), settings.getActionsSettings());
|
||||
auto transform = std::make_shared<ExpressionTransform>(header, expression);
|
||||
|
||||
|
||||
@ -7,18 +7,6 @@
|
||||
namespace DB
|
||||
{
|
||||
|
||||
struct GroupingSetsParams
|
||||
{
|
||||
GroupingSetsParams() = default;
|
||||
|
||||
GroupingSetsParams(Names used_keys_, Names missing_keys_) : used_keys(std::move(used_keys_)), missing_keys(std::move(missing_keys_)) { }
|
||||
|
||||
Names used_keys;
|
||||
Names missing_keys;
|
||||
};
|
||||
|
||||
using GroupingSetsParamsList = std::vector<GroupingSetsParams>;
|
||||
|
||||
Block appendGroupingSetColumn(Block header);
|
||||
Block generateOutputHeader(const Block & input_header, const Names & keys, bool use_nulls);
|
||||
|
||||
@ -77,6 +65,13 @@ public:
|
||||
/// Argument input_stream would be the second input (from projection).
|
||||
std::unique_ptr<AggregatingProjectionStep> convertToAggregatingProjection(const DataStream & input_stream) const;
|
||||
|
||||
static ActionsDAG makeCreatingMissingKeysForGroupingSetDAG(
|
||||
const Block & in_header,
|
||||
const Block & out_header,
|
||||
const GroupingSetsParamsList & grouping_sets_params,
|
||||
UInt64 group,
|
||||
bool group_by_use_nulls);
|
||||
|
||||
private:
|
||||
void updateOutputStream() override;
|
||||
|
||||
|
||||
@ -10,6 +10,11 @@
|
||||
namespace DB
|
||||
{
|
||||
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int LOGICAL_ERROR;
|
||||
}
|
||||
|
||||
static bool memoryBoundMergingWillBeUsed(
|
||||
const DataStream & input_stream,
|
||||
bool memory_bound_merging_of_aggregation_results_enabled,
|
||||
@ -37,6 +42,7 @@ static ITransformingStep::Traits getTraits(bool should_produce_results_in_order_
|
||||
MergingAggregatedStep::MergingAggregatedStep(
|
||||
const DataStream & input_stream_,
|
||||
Aggregator::Params params_,
|
||||
GroupingSetsParamsList grouping_sets_params_,
|
||||
bool final_,
|
||||
bool memory_efficient_aggregation_,
|
||||
size_t max_threads_,
|
||||
@ -48,9 +54,10 @@ MergingAggregatedStep::MergingAggregatedStep(
|
||||
bool memory_bound_merging_of_aggregation_results_enabled_)
|
||||
: ITransformingStep(
|
||||
input_stream_,
|
||||
params_.getHeader(input_stream_.header, final_),
|
||||
MergingAggregatedTransform::appendGroupingIfNeeded(input_stream_.header, params_.getHeader(input_stream_.header, final_)),
|
||||
getTraits(should_produce_results_in_order_of_bucket_number_))
|
||||
, params(std::move(params_))
|
||||
, grouping_sets_params(std::move(grouping_sets_params_))
|
||||
, final(final_)
|
||||
, memory_efficient_aggregation(memory_efficient_aggregation_)
|
||||
, max_threads(max_threads_)
|
||||
@ -89,10 +96,13 @@ void MergingAggregatedStep::applyOrder(SortDescription sort_description, DataStr
|
||||
|
||||
void MergingAggregatedStep::transformPipeline(QueryPipelineBuilder & pipeline, const BuildQueryPipelineSettings &)
|
||||
{
|
||||
auto transform_params = std::make_shared<AggregatingTransformParams>(pipeline.getHeader(), std::move(params), final);
|
||||
|
||||
if (memoryBoundMergingWillBeUsed())
|
||||
{
|
||||
if (input_streams.front().header.has("__grouping_set") || !grouping_sets_params.empty())
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
||||
"Memory bound merging of aggregated results is not supported for grouping sets.");
|
||||
|
||||
auto transform_params = std::make_shared<AggregatingTransformParams>(pipeline.getHeader(), std::move(params), final);
|
||||
auto transform = std::make_shared<FinishAggregatingInOrderTransform>(
|
||||
pipeline.getHeader(),
|
||||
pipeline.getNumStreams(),
|
||||
@ -127,15 +137,19 @@ void MergingAggregatedStep::transformPipeline(QueryPipelineBuilder & pipeline, c
|
||||
pipeline.resize(1);
|
||||
|
||||
/// Now merge the aggregated blocks
|
||||
pipeline.addSimpleTransform([&](const Block & header)
|
||||
{ return std::make_shared<MergingAggregatedTransform>(header, transform_params, max_threads); });
|
||||
auto transform = std::make_shared<MergingAggregatedTransform>(pipeline.getHeader(), params, final, grouping_sets_params, max_threads);
|
||||
pipeline.addTransform(std::move(transform));
|
||||
}
|
||||
else
|
||||
{
|
||||
if (input_streams.front().header.has("__grouping_set") || !grouping_sets_params.empty())
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
||||
"Memory efficient merging of aggregated results is not supported for grouping sets.");
|
||||
auto num_merge_threads = memory_efficient_merge_threads
|
||||
? memory_efficient_merge_threads
|
||||
: max_threads;
|
||||
|
||||
auto transform_params = std::make_shared<AggregatingTransformParams>(pipeline.getHeader(), std::move(params), final);
|
||||
pipeline.addMergingAggregatedMemoryEfficientTransform(transform_params, num_merge_threads);
|
||||
}
|
||||
|
||||
@ -154,7 +168,9 @@ void MergingAggregatedStep::describeActions(JSONBuilder::JSONMap & map) const
|
||||
|
||||
void MergingAggregatedStep::updateOutputStream()
|
||||
{
|
||||
output_stream = createOutputStream(input_streams.front(), params.getHeader(input_streams.front().header, final), getDataStreamTraits());
|
||||
const auto & in_header = input_streams.front().header;
|
||||
output_stream = createOutputStream(input_streams.front(),
|
||||
MergingAggregatedTransform::appendGroupingIfNeeded(in_header, params.getHeader(in_header, final)), getDataStreamTraits());
|
||||
if (is_order_overwritten) /// overwrite order again
|
||||
applyOrder(group_by_sort_description, overwritten_sort_scope);
|
||||
}
|
||||
|
||||
@ -16,6 +16,7 @@ public:
|
||||
MergingAggregatedStep(
|
||||
const DataStream & input_stream_,
|
||||
Aggregator::Params params_,
|
||||
GroupingSetsParamsList grouping_sets_params_,
|
||||
bool final_,
|
||||
bool memory_efficient_aggregation_,
|
||||
size_t max_threads_,
|
||||
@ -43,6 +44,7 @@ private:
|
||||
|
||||
|
||||
Aggregator::Params params;
|
||||
GroupingSetsParamsList grouping_sets_params;
|
||||
bool final;
|
||||
bool memory_efficient_aggregation;
|
||||
size_t max_threads;
|
||||
|
||||
@ -1,7 +1,10 @@
|
||||
#include <Processors/Transforms/MergingAggregatedTransform.h>
|
||||
#include <Processors/Transforms/AggregatingTransform.h>
|
||||
#include <Processors/Transforms/AggregatingInOrderTransform.h>
|
||||
#include <Processors/QueryPlan/AggregatingStep.h>
|
||||
#include <Common/logger_useful.h>
|
||||
#include <Interpreters/ExpressionActions.h>
|
||||
#include <DataTypes/DataTypesNumber.h>
|
||||
|
||||
namespace DB
|
||||
{
|
||||
@ -10,11 +13,192 @@ namespace ErrorCodes
|
||||
extern const int LOGICAL_ERROR;
|
||||
}
|
||||
|
||||
MergingAggregatedTransform::MergingAggregatedTransform(
|
||||
Block header_, AggregatingTransformParamsPtr params_, size_t max_threads_)
|
||||
: IAccumulatingTransform(std::move(header_), params_->getHeader())
|
||||
, params(std::move(params_)), max_threads(max_threads_)
|
||||
Block MergingAggregatedTransform::appendGroupingIfNeeded(const Block & in_header, Block out_header)
|
||||
{
|
||||
/// __grouping_set is neither GROUP BY key nor an aggregate function.
|
||||
/// It behaves like a GROUP BY key, but we cannot append it to keys
|
||||
/// because it changes hashing method and buckets for two level aggregation.
|
||||
/// Now, this column is processed "manually" by merging each group separately.
|
||||
if (in_header.has("__grouping_set"))
|
||||
out_header.insert(0, in_header.getByName("__grouping_set"));
|
||||
|
||||
return out_header;
|
||||
}
|
||||
|
||||
/// We should keep the order for GROUPING SET keys.
|
||||
/// Initiator creates a separate Aggregator for every group, so should we do here.
|
||||
/// Otherwise, two-level aggregation will split the data into different buckets,
|
||||
/// and the result may have duplicating rows.
|
||||
static ActionsDAG makeReorderingActions(const Block & in_header, const GroupingSetsParams & params)
|
||||
{
|
||||
ActionsDAG reordering(in_header.getColumnsWithTypeAndName());
|
||||
auto & outputs = reordering.getOutputs();
|
||||
ActionsDAG::NodeRawConstPtrs new_outputs;
|
||||
new_outputs.reserve(in_header.columns() + params.used_keys.size() - params.used_keys.size());
|
||||
|
||||
std::unordered_map<std::string_view, size_t> index;
|
||||
for (size_t pos = 0; pos < outputs.size(); ++pos)
|
||||
index.emplace(outputs[pos]->result_name, pos);
|
||||
|
||||
for (const auto & used_name : params.used_keys)
|
||||
{
|
||||
auto & idx = index[used_name];
|
||||
new_outputs.push_back(outputs[idx]);
|
||||
}
|
||||
|
||||
for (const auto & used_name : params.used_keys)
|
||||
index[used_name] = outputs.size();
|
||||
for (const auto & missing_name : params.missing_keys)
|
||||
index[missing_name] = outputs.size();
|
||||
|
||||
for (const auto * output : outputs)
|
||||
{
|
||||
if (index[output->result_name] != outputs.size())
|
||||
new_outputs.push_back(output);
|
||||
}
|
||||
|
||||
outputs.swap(new_outputs);
|
||||
return reordering;
|
||||
}
|
||||
|
||||
MergingAggregatedTransform::~MergingAggregatedTransform() = default;
|
||||
|
||||
MergingAggregatedTransform::MergingAggregatedTransform(
|
||||
Block header_,
|
||||
Aggregator::Params params,
|
||||
bool final,
|
||||
GroupingSetsParamsList grouping_sets_params,
|
||||
size_t max_threads_)
|
||||
: IAccumulatingTransform(header_, appendGroupingIfNeeded(header_, params.getHeader(header_, final)))
|
||||
, max_threads(max_threads_)
|
||||
{
|
||||
if (!grouping_sets_params.empty())
|
||||
{
|
||||
if (!header_.has("__grouping_set"))
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
||||
"Cannot find __grouping_set column in header of MergingAggregatedTransform with grouping sets."
|
||||
"Header {}", header_.dumpStructure());
|
||||
|
||||
auto in_header = header_;
|
||||
in_header.erase(header_.getPositionByName("__grouping_set"));
|
||||
auto out_header = params.getHeader(header_, final);
|
||||
|
||||
grouping_sets.reserve(grouping_sets_params.size());
|
||||
for (const auto & grouping_set_params : grouping_sets_params)
|
||||
{
|
||||
size_t group = grouping_sets.size();
|
||||
|
||||
auto reordering = makeReorderingActions(in_header, grouping_set_params);
|
||||
|
||||
Aggregator::Params set_params(grouping_set_params.used_keys,
|
||||
params.aggregates,
|
||||
params.overflow_row,
|
||||
params.max_threads,
|
||||
params.max_block_size,
|
||||
params.min_hit_rate_to_use_consecutive_keys_optimization);
|
||||
|
||||
auto transform_params = std::make_shared<AggregatingTransformParams>(reordering.updateHeader(in_header), std::move(set_params), final);
|
||||
|
||||
auto creating = AggregatingStep::makeCreatingMissingKeysForGroupingSetDAG(
|
||||
transform_params->getHeader(),
|
||||
out_header,
|
||||
grouping_sets_params, group, false);
|
||||
|
||||
auto & groupiung_set = grouping_sets.emplace_back();
|
||||
groupiung_set.reordering_key_columns_actions = std::make_shared<ExpressionActions>(std::move(reordering));
|
||||
groupiung_set.creating_missing_keys_actions = std::make_shared<ExpressionActions>(std::move(creating));
|
||||
groupiung_set.params = std::move(transform_params);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
auto & groupiung_set = grouping_sets.emplace_back();
|
||||
groupiung_set.params = std::make_shared<AggregatingTransformParams>(header_, std::move(params), final);
|
||||
}
|
||||
}
|
||||
|
||||
void MergingAggregatedTransform::addBlock(Block block)
|
||||
{
|
||||
if (grouping_sets.size() == 1)
|
||||
{
|
||||
auto bucket = block.info.bucket_num;
|
||||
if (grouping_sets[0].reordering_key_columns_actions)
|
||||
grouping_sets[0].reordering_key_columns_actions->execute(block);
|
||||
grouping_sets[0].bucket_to_blocks[bucket].emplace_back(std::move(block));
|
||||
return;
|
||||
}
|
||||
|
||||
auto grouping_position = block.getPositionByName("__grouping_set");
|
||||
auto grouping_column = block.getByPosition(grouping_position).column;
|
||||
block.erase(grouping_position);
|
||||
|
||||
/// Split a block by __grouping_set values.
|
||||
|
||||
const auto * grouping_column_typed = typeid_cast<const ColumnUInt64 *>(grouping_column.get());
|
||||
if (!grouping_column_typed)
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Expected UInt64 column for __grouping_set, got {}", grouping_column->getName());
|
||||
|
||||
IColumn::Selector selector;
|
||||
|
||||
const auto & grouping_data = grouping_column_typed->getData();
|
||||
size_t num_rows = grouping_data.size();
|
||||
UInt64 last_group = grouping_data[0];
|
||||
UInt64 max_group = last_group;
|
||||
for (size_t row = 1; row < num_rows; ++row)
|
||||
{
|
||||
auto group = grouping_data[row];
|
||||
|
||||
/// Optimization for equal ranges.
|
||||
if (last_group == group)
|
||||
continue;
|
||||
|
||||
/// Optimization for single group.
|
||||
if (selector.empty())
|
||||
selector.reserve(num_rows);
|
||||
|
||||
/// Fill the last equal range.
|
||||
selector.resize_fill(row, last_group);
|
||||
last_group = group;
|
||||
max_group = std::max(last_group, max_group);
|
||||
}
|
||||
|
||||
if (max_group >= grouping_sets.size())
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
||||
"Invalid group number {}. Number of groups {}.", last_group, grouping_sets.size());
|
||||
|
||||
/// Optimization for single group.
|
||||
if (selector.empty())
|
||||
{
|
||||
auto bucket = block.info.bucket_num;
|
||||
grouping_sets[last_group].reordering_key_columns_actions->execute(block);
|
||||
grouping_sets[last_group].bucket_to_blocks[bucket].emplace_back(std::move(block));
|
||||
return;
|
||||
}
|
||||
|
||||
/// Fill the last equal range.
|
||||
selector.resize_fill(num_rows, last_group);
|
||||
|
||||
const size_t num_groups = max_group + 1;
|
||||
Blocks splitted_blocks(num_groups);
|
||||
|
||||
for (size_t group_id = 0; group_id < num_groups; ++group_id)
|
||||
splitted_blocks[group_id] = block.cloneEmpty();
|
||||
|
||||
size_t columns_in_block = block.columns();
|
||||
for (size_t col_idx_in_block = 0; col_idx_in_block < columns_in_block; ++col_idx_in_block)
|
||||
{
|
||||
MutableColumns splitted_columns = block.getByPosition(col_idx_in_block).column->scatter(num_groups, selector);
|
||||
for (size_t group_id = 0; group_id < num_groups; ++group_id)
|
||||
splitted_blocks[group_id].getByPosition(col_idx_in_block).column = std::move(splitted_columns[group_id]);
|
||||
}
|
||||
|
||||
for (size_t group = 0; group < num_groups; ++group)
|
||||
{
|
||||
auto & splitted_block = splitted_blocks[group];
|
||||
splitted_block.info = block.info;
|
||||
grouping_sets[group].reordering_key_columns_actions->execute(splitted_block);
|
||||
grouping_sets[group].bucket_to_blocks[block.info.bucket_num].emplace_back(std::move(splitted_block));
|
||||
}
|
||||
}
|
||||
|
||||
void MergingAggregatedTransform::consume(Chunk chunk)
|
||||
@ -46,7 +230,7 @@ void MergingAggregatedTransform::consume(Chunk chunk)
|
||||
block.info.is_overflows = agg_info->is_overflows;
|
||||
block.info.bucket_num = agg_info->bucket_num;
|
||||
|
||||
bucket_to_blocks[agg_info->bucket_num].emplace_back(std::move(block));
|
||||
addBlock(std::move(block));
|
||||
}
|
||||
else if (chunk.getChunkInfos().get<ChunkInfoWithAllocatedBytes>())
|
||||
{
|
||||
@ -54,7 +238,7 @@ void MergingAggregatedTransform::consume(Chunk chunk)
|
||||
block.info.is_overflows = false;
|
||||
block.info.bucket_num = -1;
|
||||
|
||||
bucket_to_blocks[block.info.bucket_num].emplace_back(std::move(block));
|
||||
addBlock(std::move(block));
|
||||
}
|
||||
else
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Chunk should have AggregatedChunkInfo in MergingAggregatedTransform.");
|
||||
@ -70,9 +254,23 @@ Chunk MergingAggregatedTransform::generate()
|
||||
/// Exception safety. Make iterator valid in case any method below throws.
|
||||
next_block = blocks.begin();
|
||||
|
||||
/// TODO: this operation can be made async. Add async for IAccumulatingTransform.
|
||||
params->aggregator.mergeBlocks(std::move(bucket_to_blocks), data_variants, max_threads, is_cancelled);
|
||||
blocks = params->aggregator.convertToBlocks(data_variants, params->final, max_threads);
|
||||
for (auto & grouping_set : grouping_sets)
|
||||
{
|
||||
auto & params = grouping_set.params;
|
||||
auto & bucket_to_blocks = grouping_set.bucket_to_blocks;
|
||||
AggregatedDataVariants data_variants;
|
||||
|
||||
/// TODO: this operation can be made async. Add async for IAccumulatingTransform.
|
||||
params->aggregator.mergeBlocks(std::move(bucket_to_blocks), data_variants, max_threads, is_cancelled);
|
||||
auto merged_blocks = params->aggregator.convertToBlocks(data_variants, params->final, max_threads);
|
||||
|
||||
if (grouping_set.creating_missing_keys_actions)
|
||||
for (auto & block : merged_blocks)
|
||||
grouping_set.creating_missing_keys_actions->execute(block);
|
||||
|
||||
blocks.splice(blocks.end(), std::move(merged_blocks));
|
||||
}
|
||||
|
||||
next_block = blocks.begin();
|
||||
}
|
||||
|
||||
|
||||
@ -6,26 +6,46 @@
|
||||
namespace DB
|
||||
{
|
||||
|
||||
class ExpressionActions;
|
||||
using ExpressionActionsPtr = std::shared_ptr<ExpressionActions>;
|
||||
|
||||
/** A pre-aggregate stream of blocks in which each block is already aggregated.
|
||||
* Aggregate functions in blocks should not be finalized so that their states can be merged.
|
||||
*/
|
||||
class MergingAggregatedTransform : public IAccumulatingTransform
|
||||
{
|
||||
public:
|
||||
MergingAggregatedTransform(Block header_, AggregatingTransformParamsPtr params_, size_t max_threads_);
|
||||
MergingAggregatedTransform(
|
||||
Block header_,
|
||||
Aggregator::Params params_,
|
||||
bool final_,
|
||||
GroupingSetsParamsList grouping_sets_params,
|
||||
size_t max_threads_);
|
||||
|
||||
~MergingAggregatedTransform() override;
|
||||
|
||||
String getName() const override { return "MergingAggregatedTransform"; }
|
||||
|
||||
static Block appendGroupingIfNeeded(const Block & in_header, Block out_header);
|
||||
|
||||
protected:
|
||||
void consume(Chunk chunk) override;
|
||||
Chunk generate() override;
|
||||
|
||||
private:
|
||||
AggregatingTransformParamsPtr params;
|
||||
LoggerPtr log = getLogger("MergingAggregatedTransform");
|
||||
size_t max_threads;
|
||||
|
||||
AggregatedDataVariants data_variants;
|
||||
Aggregator::BucketToBlocks bucket_to_blocks;
|
||||
struct GroupingSet
|
||||
{
|
||||
Aggregator::BucketToBlocks bucket_to_blocks;
|
||||
ExpressionActionsPtr reordering_key_columns_actions;
|
||||
ExpressionActionsPtr creating_missing_keys_actions;
|
||||
AggregatingTransformParamsPtr params;
|
||||
};
|
||||
|
||||
using GroupingSets = std::vector<GroupingSet>;
|
||||
GroupingSets grouping_sets;
|
||||
|
||||
UInt64 total_input_rows = 0;
|
||||
UInt64 total_input_blocks = 0;
|
||||
@ -35,6 +55,8 @@ private:
|
||||
|
||||
bool consume_started = false;
|
||||
bool generate_started = false;
|
||||
|
||||
void addBlock(Block block);
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
@ -92,13 +92,14 @@ size_t MergeTreeDataSelectExecutor::getApproximateTotalRowsToRead(
|
||||
/// We will find out how many rows we would have read without sampling.
|
||||
LOG_DEBUG(log, "Preliminary index scan with condition: {}", key_condition.toString());
|
||||
|
||||
MarkRanges exact_ranges;
|
||||
for (const auto & part : parts)
|
||||
{
|
||||
MarkRanges exact_ranges;
|
||||
markRangesFromPKRange(part, metadata_snapshot, key_condition, {}, &exact_ranges, settings, log);
|
||||
for (const auto & range : exact_ranges)
|
||||
MarkRanges part_ranges = markRangesFromPKRange(part, metadata_snapshot, key_condition, {}, &exact_ranges, settings, log);
|
||||
for (const auto & range : part_ranges)
|
||||
rows_count += part->index_granularity.getRowsCountInRange(range);
|
||||
}
|
||||
UNUSED(exact_ranges);
|
||||
|
||||
return rows_count;
|
||||
}
|
||||
|
||||
@ -128,14 +128,14 @@ void MergeTreeIndexAggregatorFullText::update(const Block & block, size_t * pos,
|
||||
"Position: {}, Block rows: {}.", *pos, block.rows());
|
||||
|
||||
size_t rows_read = std::min(limit, block.rows() - *pos);
|
||||
auto row_id = store->getNextRowIDRange(rows_read);
|
||||
auto start_row_id = row_id;
|
||||
auto start_row_id = store->getNextRowIDRange(rows_read);
|
||||
|
||||
for (size_t col = 0; col < index_columns.size(); ++col)
|
||||
{
|
||||
const auto & column_with_type = block.getByName(index_columns[col]);
|
||||
const auto & column = column_with_type.column;
|
||||
size_t current_position = *pos;
|
||||
auto row_id = start_row_id;
|
||||
|
||||
bool need_to_write = false;
|
||||
if (isArray(column_with_type.type))
|
||||
|
||||
@ -52,8 +52,10 @@ const std::unordered_map<String, unum::usearch::metric_kind_t> distanceFunctionT
|
||||
|
||||
/// Maps from user-facing name to internal name
|
||||
const std::unordered_map<String, unum::usearch::scalar_kind_t> quantizationToScalarKind = {
|
||||
{"f64", unum::usearch::scalar_kind_t::f64_k},
|
||||
{"f32", unum::usearch::scalar_kind_t::f32_k},
|
||||
{"f16", unum::usearch::scalar_kind_t::f16_k},
|
||||
{"bf16", unum::usearch::scalar_kind_t::bf16_k},
|
||||
{"i8", unum::usearch::scalar_kind_t::i8_k}};
|
||||
/// Usearch provides more quantizations but ^^ above ones seem the only ones comprehensively supported across all distance functions.
|
||||
|
||||
@ -461,7 +463,7 @@ MergeTreeIndexPtr vectorSimilarityIndexCreator(const IndexDescription & index)
|
||||
{
|
||||
/// Default parameters:
|
||||
unum::usearch::metric_kind_t metric_kind = distanceFunctionToMetricKind.at(index.arguments[1].safeGet<String>());
|
||||
unum::usearch::scalar_kind_t scalar_kind = unum::usearch::scalar_kind_t::f32_k;
|
||||
unum::usearch::scalar_kind_t scalar_kind = unum::usearch::scalar_kind_t::bf16_k;
|
||||
UsearchHnswParams usearch_hnsw_params;
|
||||
|
||||
/// Optional parameters:
|
||||
|
||||
@ -44,10 +44,11 @@
|
||||
#include <IO/HTTPHeaderEntries.h>
|
||||
|
||||
#include <algorithm>
|
||||
#include <DataTypes/DataTypeLowCardinality.h>
|
||||
#include <DataTypes/DataTypeMap.h>
|
||||
#include <DataTypes/DataTypeString.h>
|
||||
#include <QueryPipeline/QueryPipelineBuilder.h>
|
||||
#include <Poco/Net/HTTPRequest.h>
|
||||
#include <DataTypes/DataTypeString.h>
|
||||
#include <DataTypes/DataTypeLowCardinality.h>
|
||||
|
||||
namespace ProfileEvents
|
||||
{
|
||||
@ -166,7 +167,19 @@ IStorageURLBase::IStorageURLBase(
|
||||
storage_metadata.setConstraints(constraints_);
|
||||
storage_metadata.setComment(comment);
|
||||
|
||||
setVirtuals(VirtualColumnUtils::getVirtualsForFileLikeStorage(storage_metadata.columns, context_, getSampleURI(uri, context_), format_settings));
|
||||
auto virtual_columns_desc = VirtualColumnUtils::getVirtualsForFileLikeStorage(
|
||||
storage_metadata.columns, context_, getSampleURI(uri, context_), format_settings);
|
||||
if (!storage_metadata.getColumns().has("_headers"))
|
||||
{
|
||||
virtual_columns_desc.addEphemeral(
|
||||
"_headers",
|
||||
std::make_shared<DataTypeMap>(
|
||||
std::make_shared<DataTypeLowCardinality>(std::make_shared<DataTypeString>()),
|
||||
std::make_shared<DataTypeLowCardinality>(std::make_shared<DataTypeString>())),
|
||||
"");
|
||||
}
|
||||
|
||||
setVirtuals(virtual_columns_desc);
|
||||
setInMemoryMetadata(storage_metadata);
|
||||
}
|
||||
|
||||
@ -292,11 +305,13 @@ StorageURLSource::StorageURLSource(
|
||||
const URIParams & params,
|
||||
bool glob_url,
|
||||
bool need_only_count_)
|
||||
: SourceWithKeyCondition(info.source_header, false), WithContext(context_)
|
||||
: SourceWithKeyCondition(info.source_header, false)
|
||||
, WithContext(context_)
|
||||
, name(std::move(name_))
|
||||
, columns_description(info.columns_description)
|
||||
, requested_columns(info.requested_columns)
|
||||
, requested_virtual_columns(info.requested_virtual_columns)
|
||||
, need_headers_virtual_column(info.requested_virtual_columns.contains("_headers"))
|
||||
, requested_virtual_columns(info.requested_virtual_columns.eraseNames({"_headers"}))
|
||||
, block_for_format(info.format_header)
|
||||
, uri_iterator(uri_iterator_)
|
||||
, format(format_)
|
||||
@ -431,11 +446,28 @@ Chunk StorageURLSource::generate()
|
||||
|
||||
progress(num_rows, chunk_size ? chunk_size : chunk.bytes());
|
||||
VirtualColumnUtils::addRequestedFileLikeStorageVirtualsToChunk(
|
||||
chunk, requested_virtual_columns,
|
||||
chunk,
|
||||
requested_virtual_columns,
|
||||
{
|
||||
.path = curr_uri.getPath(),
|
||||
.size = current_file_size,
|
||||
}, getContext());
|
||||
},
|
||||
getContext());
|
||||
chassert(dynamic_cast<ReadWriteBufferFromHTTP *>(read_buf.get()));
|
||||
if (need_headers_virtual_column)
|
||||
{
|
||||
if (!http_response_headers_initialized)
|
||||
{
|
||||
http_response_headers = dynamic_cast<ReadWriteBufferFromHTTP *>(read_buf.get())->getResponseHeaders();
|
||||
http_response_headers_initialized = true;
|
||||
}
|
||||
|
||||
auto type = std::make_shared<DataTypeMap>(
|
||||
std::make_shared<DataTypeLowCardinality>(std::make_shared<DataTypeString>()),
|
||||
std::make_shared<DataTypeLowCardinality>(std::make_shared<DataTypeString>()));
|
||||
|
||||
chunk.addColumn(type->createColumnConst(chunk.getNumRows(), http_response_headers)->convertToFullColumnIfConst());
|
||||
}
|
||||
return chunk;
|
||||
}
|
||||
|
||||
@ -446,6 +478,7 @@ Chunk StorageURLSource::generate()
|
||||
reader.reset();
|
||||
input_format.reset();
|
||||
read_buf.reset();
|
||||
http_response_headers_initialized = false;
|
||||
total_rows_in_file = 0;
|
||||
}
|
||||
return {};
|
||||
|
||||
@ -220,6 +220,7 @@ private:
|
||||
String name;
|
||||
ColumnsDescription columns_description;
|
||||
NamesAndTypesList requested_columns;
|
||||
bool need_headers_virtual_column;
|
||||
NamesAndTypesList requested_virtual_columns;
|
||||
Block block_for_format;
|
||||
std::shared_ptr<IteratorWrapper> uri_iterator;
|
||||
@ -233,6 +234,9 @@ private:
|
||||
|
||||
Poco::Net::HTTPBasicCredentials credentials;
|
||||
|
||||
Map http_response_headers;
|
||||
bool http_response_headers_initialized = false;
|
||||
|
||||
std::unique_ptr<ReadBuffer> read_buf;
|
||||
std::shared_ptr<IInputFormat> input_format;
|
||||
std::unique_ptr<QueryPipeline> pipeline;
|
||||
|
||||
275
src/Storages/System/StorageSystemProjections.cpp
Normal file
275
src/Storages/System/StorageSystemProjections.cpp
Normal file
@ -0,0 +1,275 @@
|
||||
#include <Storages/System/StorageSystemProjections.h>
|
||||
#include <Access/ContextAccess.h>
|
||||
#include <Columns/ColumnString.h>
|
||||
#include <DataTypes/DataTypeArray.h>
|
||||
#include <DataTypes/DataTypeEnum.h>
|
||||
#include <DataTypes/DataTypeString.h>
|
||||
#include <DataTypes/DataTypesNumber.h>
|
||||
#include <Databases/IDatabase.h>
|
||||
#include <Storages/VirtualColumnUtils.h>
|
||||
#include <Storages/System/getQueriedColumnsMaskAndHeader.h>
|
||||
#include <Interpreters/Context.h>
|
||||
#include <Interpreters/DatabaseCatalog.h>
|
||||
#include <Parsers/ASTIndexDeclaration.h>
|
||||
#include <Parsers/ASTFunction.h>
|
||||
#include <Parsers/formatAST.h>
|
||||
#include <Parsers/queryToString.h>
|
||||
#include <Processors/ISource.h>
|
||||
#include <Processors/QueryPlan/QueryPlan.h>
|
||||
#include <Processors/QueryPlan/SourceStepWithFilter.h>
|
||||
#include <QueryPipeline/Pipe.h>
|
||||
#include <QueryPipeline/QueryPipelineBuilder.h>
|
||||
|
||||
|
||||
namespace DB
|
||||
{
|
||||
StorageSystemProjections::StorageSystemProjections(const StorageID & table_id_)
|
||||
: IStorage(table_id_)
|
||||
{
|
||||
auto projection_type_datatype = std::make_shared<DataTypeEnum8>(
|
||||
DataTypeEnum8::Values
|
||||
{
|
||||
{"Normal", static_cast<UInt8>(ProjectionDescription::Type::Normal)},
|
||||
{"Aggregate", static_cast<UInt8>(ProjectionDescription::Type::Aggregate)}
|
||||
}
|
||||
);
|
||||
|
||||
StorageInMemoryMetadata storage_metadata;
|
||||
storage_metadata.setColumns(ColumnsDescription(
|
||||
{
|
||||
{ "database", std::make_shared<DataTypeString>(), "Database name."},
|
||||
{ "table", std::make_shared<DataTypeString>(), "Table name."},
|
||||
{ "name", std::make_shared<DataTypeString>(), "Projection name."},
|
||||
{ "type", std::move(projection_type_datatype), "Projection type."},
|
||||
{ "sorting_key", std::make_shared<DataTypeArray>(std::make_shared<DataTypeString>()), "Projection sorting key."},
|
||||
{ "query", std::make_shared<DataTypeString>(), "Projection query."},
|
||||
}));
|
||||
setInMemoryMetadata(storage_metadata);
|
||||
}
|
||||
|
||||
class ProjectionsSource : public ISource
|
||||
{
|
||||
public:
|
||||
ProjectionsSource(
|
||||
std::vector<UInt8> columns_mask_,
|
||||
Block header,
|
||||
UInt64 max_block_size_,
|
||||
ColumnPtr databases_,
|
||||
ContextPtr context_)
|
||||
: ISource(header)
|
||||
, column_mask(std::move(columns_mask_))
|
||||
, max_block_size(max_block_size_)
|
||||
, databases(std::move(databases_))
|
||||
, context(Context::createCopy(context_))
|
||||
, database_idx(0)
|
||||
{}
|
||||
|
||||
String getName() const override { return "Projections"; }
|
||||
|
||||
protected:
|
||||
Chunk generate() override
|
||||
{
|
||||
if (database_idx >= databases->size())
|
||||
return {};
|
||||
|
||||
MutableColumns res_columns = getPort().getHeader().cloneEmptyColumns();
|
||||
|
||||
const auto access = context->getAccess();
|
||||
const bool check_access_for_databases = !access->isGranted(AccessType::SHOW_TABLES);
|
||||
|
||||
size_t rows_count = 0;
|
||||
while (rows_count < max_block_size)
|
||||
{
|
||||
if (tables_it && !tables_it->isValid())
|
||||
++database_idx;
|
||||
|
||||
while (database_idx < databases->size() && (!tables_it || !tables_it->isValid()))
|
||||
{
|
||||
database_name = databases->getDataAt(database_idx).toString();
|
||||
database = DatabaseCatalog::instance().tryGetDatabase(database_name);
|
||||
|
||||
if (database)
|
||||
break;
|
||||
++database_idx;
|
||||
}
|
||||
|
||||
if (database_idx >= databases->size())
|
||||
break;
|
||||
|
||||
if (!tables_it || !tables_it->isValid())
|
||||
tables_it = database->getTablesIterator(context);
|
||||
|
||||
const bool check_access_for_tables = check_access_for_databases && !access->isGranted(AccessType::SHOW_TABLES, database_name);
|
||||
|
||||
for (; rows_count < max_block_size && tables_it->isValid(); tables_it->next())
|
||||
{
|
||||
auto table_name = tables_it->name();
|
||||
if (check_access_for_tables && !access->isGranted(AccessType::SHOW_TABLES, database_name, table_name))
|
||||
continue;
|
||||
|
||||
const auto table = tables_it->table();
|
||||
if (!table)
|
||||
continue;
|
||||
StorageMetadataPtr metadata_snapshot = table->getInMemoryMetadataPtr();
|
||||
if (!metadata_snapshot)
|
||||
continue;
|
||||
const auto & projections = metadata_snapshot->getProjections();
|
||||
|
||||
for (const auto & projection : projections)
|
||||
{
|
||||
++rows_count;
|
||||
|
||||
size_t src_index = 0;
|
||||
size_t res_index = 0;
|
||||
|
||||
// 'database' column
|
||||
if (column_mask[src_index++])
|
||||
res_columns[res_index++]->insert(database_name);
|
||||
// 'table' column
|
||||
if (column_mask[src_index++])
|
||||
res_columns[res_index++]->insert(table_name);
|
||||
// 'name' column
|
||||
if (column_mask[src_index++])
|
||||
res_columns[res_index++]->insert(projection.name);
|
||||
// 'type' column
|
||||
if (column_mask[src_index++])
|
||||
res_columns[res_index++]->insert(projection.type);
|
||||
// 'sorting_key' column
|
||||
if (column_mask[src_index++])
|
||||
{
|
||||
auto columns = projection.metadata->getSortingKeyColumns();
|
||||
|
||||
Array sorting_key;
|
||||
sorting_key.reserve(columns.size());
|
||||
for (const auto & column : columns)
|
||||
{
|
||||
sorting_key.push_back(column);
|
||||
}
|
||||
res_columns[res_index++]->insert(sorting_key);
|
||||
}
|
||||
// 'query' column
|
||||
if (column_mask[src_index++])
|
||||
{
|
||||
res_columns[res_index++]->insert(serializeAST(*projection.definition_ast->children.at(0)));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return Chunk(std::move(res_columns), rows_count);
|
||||
}
|
||||
|
||||
private:
|
||||
std::vector<UInt8> column_mask;
|
||||
UInt64 max_block_size;
|
||||
ColumnPtr databases;
|
||||
ContextPtr context;
|
||||
size_t database_idx;
|
||||
DatabasePtr database;
|
||||
std::string database_name;
|
||||
DatabaseTablesIteratorPtr tables_it;
|
||||
};
|
||||
|
||||
class ReadFromSystemProjections : public SourceStepWithFilter
|
||||
{
|
||||
public:
|
||||
std::string getName() const override { return "ReadFromSystemProjections"; }
|
||||
void initializePipeline(QueryPipelineBuilder & pipeline, const BuildQueryPipelineSettings &) override;
|
||||
|
||||
ReadFromSystemProjections(
|
||||
const Names & column_names_,
|
||||
const SelectQueryInfo & query_info_,
|
||||
const StorageSnapshotPtr & storage_snapshot_,
|
||||
const ContextPtr & context_,
|
||||
Block sample_block,
|
||||
std::shared_ptr<StorageSystemProjections> storage_,
|
||||
std::vector<UInt8> columns_mask_,
|
||||
size_t max_block_size_)
|
||||
: SourceStepWithFilter(
|
||||
DataStream{.header = std::move(sample_block)},
|
||||
column_names_,
|
||||
query_info_,
|
||||
storage_snapshot_,
|
||||
context_)
|
||||
, storage(std::move(storage_))
|
||||
, columns_mask(std::move(columns_mask_))
|
||||
, max_block_size(max_block_size_)
|
||||
{
|
||||
}
|
||||
|
||||
void applyFilters(ActionDAGNodes added_filter_nodes) override;
|
||||
|
||||
private:
|
||||
std::shared_ptr<StorageSystemProjections> storage;
|
||||
std::vector<UInt8> columns_mask;
|
||||
const size_t max_block_size;
|
||||
ExpressionActionsPtr virtual_columns_filter;
|
||||
};
|
||||
|
||||
void ReadFromSystemProjections::applyFilters(ActionDAGNodes added_filter_nodes)
|
||||
{
|
||||
SourceStepWithFilter::applyFilters(std::move(added_filter_nodes));
|
||||
|
||||
if (filter_actions_dag)
|
||||
{
|
||||
Block block_to_filter
|
||||
{
|
||||
{ ColumnString::create(), std::make_shared<DataTypeString>(), "database" },
|
||||
};
|
||||
|
||||
auto dag = VirtualColumnUtils::splitFilterDagForAllowedInputs(filter_actions_dag->getOutputs().at(0), &block_to_filter);
|
||||
if (dag)
|
||||
virtual_columns_filter = VirtualColumnUtils::buildFilterExpression(std::move(*dag), context);
|
||||
}
|
||||
}
|
||||
|
||||
void StorageSystemProjections::read(
|
||||
QueryPlan & query_plan,
|
||||
const Names & column_names,
|
||||
const StorageSnapshotPtr & storage_snapshot,
|
||||
SelectQueryInfo & query_info,
|
||||
ContextPtr context,
|
||||
QueryProcessingStage::Enum /* processed_stage */,
|
||||
size_t max_block_size,
|
||||
size_t /* num_streams */)
|
||||
{
|
||||
storage_snapshot->check(column_names);
|
||||
Block sample_block = storage_snapshot->metadata->getSampleBlock();
|
||||
|
||||
auto [columns_mask, header] = getQueriedColumnsMaskAndHeader(sample_block, column_names);
|
||||
|
||||
auto this_ptr = std::static_pointer_cast<StorageSystemProjections>(shared_from_this());
|
||||
|
||||
auto reading = std::make_unique<ReadFromSystemProjections>(
|
||||
column_names, query_info, storage_snapshot,
|
||||
std::move(context), std::move(header), std::move(this_ptr), std::move(columns_mask), max_block_size);
|
||||
|
||||
query_plan.addStep(std::move(reading));
|
||||
}
|
||||
|
||||
void ReadFromSystemProjections::initializePipeline(QueryPipelineBuilder & pipeline, const BuildQueryPipelineSettings &)
|
||||
{
|
||||
MutableColumnPtr column = ColumnString::create();
|
||||
|
||||
const auto databases = DatabaseCatalog::instance().getDatabases();
|
||||
for (const auto & [database_name, database] : databases)
|
||||
{
|
||||
if (database_name == DatabaseCatalog::TEMPORARY_DATABASE)
|
||||
continue;
|
||||
|
||||
/// Lazy database can contain only very primitive tables, it cannot contain tables with projections.
|
||||
/// Skip it to avoid unnecessary tables loading in the Lazy database.
|
||||
if (database->getEngineName() != "Lazy")
|
||||
column->insert(database_name);
|
||||
}
|
||||
|
||||
/// Condition on "database" in a query acts like an index.
|
||||
Block block { ColumnWithTypeAndName(std::move(column), std::make_shared<DataTypeString>(), "database") };
|
||||
if (virtual_columns_filter)
|
||||
VirtualColumnUtils::filterBlockWithExpression(virtual_columns_filter, block);
|
||||
|
||||
ColumnPtr & filtered_databases = block.getByPosition(0).column;
|
||||
pipeline.init(Pipe(std::make_shared<ProjectionsSource>(
|
||||
std::move(columns_mask), getOutputStream().header, max_block_size, std::move(filtered_databases), context)));
|
||||
}
|
||||
|
||||
}
|
||||
30
src/Storages/System/StorageSystemProjections.h
Normal file
30
src/Storages/System/StorageSystemProjections.h
Normal file
@ -0,0 +1,30 @@
|
||||
#pragma once
|
||||
|
||||
#include <Storages/IStorage.h>
|
||||
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
/// For system.projections table - describes the projections in tables, similar to system.data_skipping_indices.
|
||||
class StorageSystemProjections : public IStorage
|
||||
{
|
||||
public:
|
||||
explicit StorageSystemProjections(const StorageID & table_id_);
|
||||
|
||||
std::string getName() const override { return "StorageSystemProjections"; }
|
||||
|
||||
void read(
|
||||
QueryPlan & query_plan,
|
||||
const Names & column_names,
|
||||
const StorageSnapshotPtr & storage_snapshot,
|
||||
SelectQueryInfo & query_info,
|
||||
ContextPtr context,
|
||||
QueryProcessingStage::Enum processed_stage,
|
||||
size_t max_block_size,
|
||||
size_t num_streams) override;
|
||||
|
||||
bool isSystemStorage() const override { return true; }
|
||||
};
|
||||
|
||||
}
|
||||
@ -51,6 +51,7 @@
|
||||
#include <Storages/System/StorageSystemTableEngines.h>
|
||||
#include <Storages/System/StorageSystemTableFunctions.h>
|
||||
#include <Storages/System/StorageSystemTables.h>
|
||||
#include <Storages/System/StorageSystemProjections.h>
|
||||
#include <Storages/System/StorageSystemZooKeeper.h>
|
||||
#include <Storages/System/StorageSystemContributors.h>
|
||||
#include <Storages/System/StorageSystemErrors.h>
|
||||
@ -166,6 +167,7 @@ void attachSystemTablesServer(ContextPtr context, IDatabase & system_database, b
|
||||
attach<StorageSystemErrors>(context, system_database, "errors", "Contains a list of all errors which have ever happened including the error code, last time and message with unsymbolized stacktrace.");
|
||||
attach<StorageSystemWarnings>(context, system_database, "warnings", "Contains warnings about server configuration to be displayed by clickhouse-client right after it connects to the server.");
|
||||
attachNoDescription<StorageSystemDataSkippingIndices>(context, system_database, "data_skipping_indices", "Contains all the information about all the data skipping indices in tables, similar to system.columns.");
|
||||
attachNoDescription<StorageSystemProjections>(context, system_database, "projections", "Contains all the information about all the projections in tables, similar to system.data_skipping_indices.");
|
||||
attach<StorageSystemLicenses>(context, system_database, "licenses", "Contains licenses of third-party libraries that are located in the contrib directory of ClickHouse sources.");
|
||||
attach<StorageSystemTimeZones>(context, system_database, "time_zones", "Contains a list of time zones that are supported by the ClickHouse server. This list of timezones might vary depending on the version of ClickHouse.");
|
||||
attach<StorageSystemBackups>(context, system_database, "backups", "Contains a list of all BACKUP or RESTORE operations with their current states and other propertis. Note, that table is not persistent and it shows only operations executed after the last server restart.");
|
||||
|
||||
@ -30,6 +30,7 @@ import subprocess
|
||||
import sys
|
||||
import traceback
|
||||
import urllib.parse
|
||||
import io
|
||||
|
||||
# for crc32
|
||||
import zlib
|
||||
@ -39,8 +40,10 @@ from errno import ESRCH
|
||||
from subprocess import PIPE, Popen
|
||||
from time import sleep, time
|
||||
from typing import Dict, List, Optional, Set, Tuple, Union
|
||||
from contextlib import redirect_stdout
|
||||
from ast import literal_eval as make_tuple
|
||||
|
||||
|
||||
try:
|
||||
import termcolor # type: ignore
|
||||
except ImportError:
|
||||
@ -1342,9 +1345,13 @@ class TestCase:
|
||||
return None
|
||||
|
||||
def process_result_impl(self, proc, total_time: float):
|
||||
kill_output = ""
|
||||
if proc:
|
||||
if proc.returncode is None:
|
||||
kill_process_group(os.getpgid(proc.pid))
|
||||
f = io.StringIO()
|
||||
with redirect_stdout(f):
|
||||
kill_process_group(os.getpgid(proc.pid))
|
||||
kill_output = f.getvalue()
|
||||
|
||||
description = ""
|
||||
|
||||
@ -1360,7 +1367,7 @@ class TestCase:
|
||||
with open(self.stdout_file, "rb") as stdfd:
|
||||
stdout = str(stdfd.read(), errors="replace", encoding="utf-8")
|
||||
|
||||
stderr = ""
|
||||
stderr = kill_output
|
||||
if os.path.exists(self.stderr_file):
|
||||
with open(self.stderr_file, "rb") as stdfd:
|
||||
stderr += str(stdfd.read(), errors="replace", encoding="utf-8")
|
||||
|
||||
@ -272,8 +272,10 @@ function check_logs_for_critical_errors()
|
||||
# Remove file no_such_key_errors.txt if it's empty
|
||||
[ -s /test_output/no_such_key_errors.txt ] || rm /test_output/no_such_key_errors.txt
|
||||
|
||||
# Crash
|
||||
rg -Fa "###################""#####################" /var/log/clickhouse-server/clickhouse-server*.log > /dev/null \
|
||||
# Crash. This must have fewer '#'s than the command below, otherwise the command below will match
|
||||
# the echo of this command (if set -x is enabled, and this script's stdout is sent
|
||||
# to /test_output/run.log).
|
||||
rg -Fa "#######################################" /var/log/clickhouse-server/clickhouse-server*.log > /dev/null \
|
||||
&& echo -e "Killed by signal (in clickhouse-server.log)$FAIL" >> /test_output/test_results.tsv \
|
||||
|| echo -e "Not crashed$OK" >> /test_output/test_results.tsv
|
||||
|
||||
@ -285,7 +287,7 @@ function check_logs_for_critical_errors()
|
||||
# Remove file fatal_messages.txt if it's empty
|
||||
[ -s /test_output/fatal_messages.txt ] || rm /test_output/fatal_messages.txt
|
||||
|
||||
rg -Faz "####################""####################" /test_output/* > /dev/null \
|
||||
rg -Faz "########################################" /test_output/* > /dev/null \
|
||||
&& echo -e "Killed by signal (output files)$FAIL" >> /test_output/test_results.tsv
|
||||
|
||||
function get_gdb_log_context()
|
||||
|
||||
@ -5,7 +5,7 @@ networks:
|
||||
enable_ipv6: true
|
||||
ipam:
|
||||
config:
|
||||
- subnet: 10.5.0.0/12
|
||||
gateway: 10.5.1.1
|
||||
- subnet: 10.0.0.0/12
|
||||
gateway: 10.0.0.1
|
||||
- subnet: 2001:3984:3989::/64
|
||||
gateway: 2001:3984:3989::1
|
||||
|
||||
@ -6,6 +6,7 @@ import logging
|
||||
import os
|
||||
import random
|
||||
import shlex
|
||||
import shutil
|
||||
import signal
|
||||
import string
|
||||
import subprocess
|
||||
@ -135,6 +136,53 @@ def check_args_and_update_paths(args):
|
||||
)
|
||||
|
||||
|
||||
def check_iptables_legacy():
|
||||
iptables_path = shutil.which("iptables")
|
||||
ip6tables_path = shutil.which("ip6tables")
|
||||
|
||||
if iptables_path is None:
|
||||
print("Error: 'iptables' not found in PATH")
|
||||
sys.exit(1)
|
||||
if ip6tables_path is None:
|
||||
print("Error: 'ip6tables' not found in PATH, ignoring")
|
||||
|
||||
try:
|
||||
file_info = os.stat(iptables_path)
|
||||
file_info_str = str(file_info)
|
||||
|
||||
if "legacy" in file_info_str:
|
||||
print(
|
||||
"""
|
||||
iptables on your host machine is in 'legacy' mode. This is not supported.
|
||||
|
||||
Please switch to 'nftables' mode, usualy by installing `iptables-nft` or `nftables`, consult your distribution manual.
|
||||
Or, use --ignore-iptables-legacy-check.
|
||||
"""
|
||||
)
|
||||
sys.exit(1)
|
||||
|
||||
if not ip6tables_path:
|
||||
return
|
||||
|
||||
file_info = os.stat(ip6tables_path)
|
||||
file_info_str = str(file_info)
|
||||
|
||||
if "legacy" in file_info_str:
|
||||
print(
|
||||
"""
|
||||
ip6tables on your host machine is in 'legacy' mode. This is not supported.
|
||||
|
||||
Please switch to 'nftables' mode, usualy by installing `iptables-nft` or `nftables`, consult your distribution manual.
|
||||
Or, use --ignore-iptables-legacy-check.
|
||||
"""
|
||||
)
|
||||
sys.exit(1)
|
||||
|
||||
except FileNotFoundError:
|
||||
print(f"Error: '{iptables_path}' not found")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
def docker_kill_handler_handler(signum, frame):
|
||||
_, _ = signum, frame
|
||||
subprocess.check_call(
|
||||
@ -163,6 +211,7 @@ if __name__ == "__main__":
|
||||
level=logging.INFO,
|
||||
format="%(asctime)s [ %(process)d ] %(levelname)s : %(message)s (%(filename)s:%(lineno)s, %(funcName)s)",
|
||||
)
|
||||
|
||||
parser = argparse.ArgumentParser(description="ClickHouse integration tests runner")
|
||||
|
||||
parser.add_argument(
|
||||
@ -311,12 +360,24 @@ if __name__ == "__main__":
|
||||
help="Bind volume to this dir to use for dockerd files",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--ignore-iptables-legacy-check",
|
||||
action="store_true",
|
||||
default=False,
|
||||
help="Ignore iptables-legacy usage check",
|
||||
)
|
||||
|
||||
parser.add_argument("pytest_args", nargs="*", help="args for pytest command")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
check_args_and_update_paths(args)
|
||||
|
||||
if not args.ignore_iptables_legacy_check:
|
||||
check_iptables_legacy()
|
||||
else:
|
||||
logging.warning("Skipping iptables-legacy check")
|
||||
|
||||
parallel_args = ""
|
||||
if args.parallel:
|
||||
parallel_args += "--dist=loadfile"
|
||||
|
||||
@ -1,11 +0,0 @@
|
||||
<clickhouse>
|
||||
<remote_servers>
|
||||
<test_cluster>
|
||||
<shard>
|
||||
<replica>
|
||||
<host>node</host>
|
||||
</replica>
|
||||
</shard>
|
||||
</test_cluster>
|
||||
</remote_servers>
|
||||
</clickhouse>
|
||||
@ -1,9 +0,0 @@
|
||||
<clickhouse>
|
||||
<logger>
|
||||
<level>information</level>
|
||||
<log>/var/log/clickhouse-server/clickhouse-server.log</log>
|
||||
<errorlog>/var/log/clickhouse-server/clickhouse-server.err.log</errorlog>
|
||||
<size>1000M</size>
|
||||
<count>10</count>
|
||||
</logger>
|
||||
</clickhouse>
|
||||
@ -1,54 +0,0 @@
|
||||
import logging
|
||||
import pytest
|
||||
from helpers.cluster import ClickHouseCluster
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def cluster():
|
||||
try:
|
||||
cluster = ClickHouseCluster(__file__)
|
||||
cluster.add_instance(
|
||||
"node",
|
||||
main_configs=[
|
||||
"configs/config.d/cluster.xml",
|
||||
],
|
||||
)
|
||||
logging.info("Starting cluster...")
|
||||
cluster.start()
|
||||
logging.info("Cluster started")
|
||||
|
||||
node = cluster.instances["node"]
|
||||
node.query(
|
||||
"""
|
||||
CREATE TABLE tab
|
||||
(
|
||||
a DateTime,
|
||||
pk String
|
||||
) Engine = MergeTree() ORDER BY pk;
|
||||
"""
|
||||
)
|
||||
|
||||
yield cluster
|
||||
finally:
|
||||
cluster.shutdown()
|
||||
|
||||
|
||||
def test_incorrect_datetime_format(cluster):
|
||||
"""
|
||||
Test for an MSan issue which is caused by parsing incorrect datetime string
|
||||
"""
|
||||
|
||||
node = cluster.instances["node"]
|
||||
|
||||
res = node.query("SELECT count(*) FROM tab WHERE a = '2024-08-06 09:58:09'").strip()
|
||||
assert res == "0"
|
||||
|
||||
error = node.query_and_get_error(
|
||||
"SELECT count(*) FROM tab WHERE a = '2024-08-06 09:58:0'"
|
||||
).strip()
|
||||
assert "Cannot parse time component of DateTime 09:58:0" in error
|
||||
|
||||
error = node.query_and_get_error(
|
||||
"SELECT count(*) FROM tab WHERE a = '2024-08-0 09:58:09'"
|
||||
).strip()
|
||||
assert "Cannot convert string '2024-08-0 09:58:09' to type DateTime" in error
|
||||
@ -1,40 +1,36 @@
|
||||
import pytest
|
||||
|
||||
from helpers.cluster import ClickHouseCluster
|
||||
|
||||
cluster = ClickHouseCluster(__file__)
|
||||
|
||||
node1 = cluster.add_instance(
|
||||
"node1", main_configs=["configs/distributed_servers.xml"], with_zookeeper=True
|
||||
"node1", with_zookeeper=True, main_configs=["configs/distributed_servers.xml"]
|
||||
)
|
||||
node2 = cluster.add_instance(
|
||||
"node2", with_zookeeper=True, main_configs=["configs/distributed_servers.xml"]
|
||||
)
|
||||
|
||||
|
||||
def fill_nodes(nodes):
|
||||
for node in nodes:
|
||||
node.query(
|
||||
"""
|
||||
DROP DATABASE IF EXISTS test;
|
||||
CREATE DATABASE test;
|
||||
CREATE TABLE test.local_table(id UInt32, val String) ENGINE = MergeTree ORDER BY id;
|
||||
CREATE TABLE test.distributed(id UInt32, val String) ENGINE = Distributed(test_cluster, test, local_table);
|
||||
INSERT INTO test.local_table VALUES ({pos}, '{replica}');
|
||||
""".format(
|
||||
pos=node.name[4:], replica=node.name
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def started_cluster():
|
||||
try:
|
||||
cluster.start()
|
||||
|
||||
for node in (node1, node2):
|
||||
node.query(
|
||||
"""
|
||||
CREATE DATABASE test;
|
||||
CREATE TABLE test.local_table(id UInt32, val String) ENGINE = MergeTree ORDER BY id
|
||||
"""
|
||||
)
|
||||
|
||||
node1.query("INSERT INTO test.local_table VALUES (1, 'node1')")
|
||||
node2.query("INSERT INTO test.local_table VALUES (2, 'node2')")
|
||||
|
||||
node1.query(
|
||||
"CREATE TABLE test.distributed(id UInt32, val String) ENGINE = Distributed(test_cluster, test, local_table)"
|
||||
)
|
||||
node2.query(
|
||||
"CREATE TABLE test.distributed(id UInt32, val String) ENGINE = Distributed(test_cluster, test, local_table)"
|
||||
)
|
||||
|
||||
yield cluster
|
||||
|
||||
finally:
|
||||
@ -42,6 +38,8 @@ def started_cluster():
|
||||
|
||||
|
||||
def test_truncate_database_distributed(started_cluster):
|
||||
fill_nodes([node1, node2])
|
||||
|
||||
query1 = "SELECT count() FROM test.distributed WHERE (id, val) IN ((1, 'node1'), (2, 'a'), (3, 'b'))"
|
||||
query2 = "SELECT sum((id, val) IN ((1, 'node1'), (2, 'a'), (3, 'b'))) FROM test.distributed"
|
||||
assert node1.query(query1) == "1\n"
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
import time
|
||||
|
||||
import pytest
|
||||
from helpers.cluster import ClickHouseCluster
|
||||
|
||||
@ -8,8 +6,9 @@ def fill_nodes(nodes, shard):
|
||||
for node in nodes:
|
||||
node.query(
|
||||
"""
|
||||
DROP DATABASE IF EXISTS test;
|
||||
CREATE DATABASE test;
|
||||
|
||||
|
||||
CREATE TABLE test.test_table(date Date, id UInt32)
|
||||
ENGINE = ReplicatedMergeTree('/clickhouse/tables/test/{shard}/replicated/test_table', '{replica}') ORDER BY id PARTITION BY toYYYYMM(date);
|
||||
""".format(
|
||||
@ -35,8 +34,6 @@ def start_cluster():
|
||||
try:
|
||||
cluster.start()
|
||||
|
||||
fill_nodes([node1, node2, node3], 1)
|
||||
|
||||
yield cluster
|
||||
|
||||
except Exception as ex:
|
||||
@ -47,10 +44,13 @@ def start_cluster():
|
||||
|
||||
|
||||
def test_truncate_database_replicated(start_cluster):
|
||||
fill_nodes([node1, node2, node3], 1)
|
||||
|
||||
node1.query(
|
||||
"INSERT INTO test.test_table SELECT number, toString(number) FROM numbers(100)"
|
||||
)
|
||||
assert node2.query("SELECT id FROM test.test_table LIMIT 1") == "0\n"
|
||||
assert node2.query("SELECT min(id) FROM test.test_table") == "0\n"
|
||||
assert node2.query("SELECT id FROM test.test_table ORDER BY id LIMIT 1") == "0\n"
|
||||
assert node3.query("SHOW DATABASES LIKE 'test'") == "test\n"
|
||||
node3.query("TRUNCATE DATABASE test ON CLUSTER test_cluster SYNC")
|
||||
assert node2.query("SHOW TABLES FROM test") == ""
|
||||
|
||||
@ -0,0 +1,3 @@
|
||||
<clickhouse>
|
||||
<cgroups_memory_usage_observer_wait_time>0</cgroups_memory_usage_observer_wait_time>
|
||||
</clickhouse>
|
||||
@ -152,7 +152,7 @@ cat /proc/sys/kernel/core_pattern
|
||||
{
|
||||
time $SCRIPT_DIR/download.sh "$REF_PR" "$REF_SHA" "$PR_TO_TEST" "$SHA_TO_TEST" && \
|
||||
time stage=configure "$script_path"/compare.sh ; \
|
||||
} 2>&1 | ts "$(printf '%%Y-%%m-%%d %%H:%%M:%%S\t')" | tee compare.log
|
||||
} 2>&1 | ts "$(printf '%%Y-%%m-%%d %%H:%%M:%%S\t')" | tee -a compare.log
|
||||
|
||||
# Stop the servers to free memory. Normally they are restarted before getting
|
||||
# the profile info, so they shouldn't use much, but if the comparison script
|
||||
|
||||
@ -1,26 +1,26 @@
|
||||
no monotonic int case: String -> UInt64
|
||||
no monotonic int case: FixedString -> UInt64
|
||||
monotonic int case: Int32 -> Int64
|
||||
monotonic int case: Int32 -> UInt64
|
||||
monotonic int case: Int32 -> Int32
|
||||
monotonic int case: Int32 -> UInt32
|
||||
monotonic int case: Int32 -> Int16
|
||||
monotonic int case: Int32 -> UInt16
|
||||
monotonic int case: UInt32 -> Int64
|
||||
monotonic int case: UInt32 -> UInt64
|
||||
monotonic int case: UInt32 -> Int32
|
||||
monotonic int case: UInt32 -> UInt32
|
||||
monotonic int case: UInt32 -> Int16
|
||||
monotonic int case: UInt32 -> UInt16
|
||||
monotonic int case: Enum16 -> Int32
|
||||
monotonic int case: Enum16 -> UInt32
|
||||
monotonic int case: Enum16 -> Int16
|
||||
monotonic int case: Enum16 -> UInt16
|
||||
monotonic int case: Enum16 -> Int8
|
||||
monotonic int case: Enum16 -> UInt8
|
||||
monotonic int case: Date -> Int32
|
||||
monotonic int case: Date -> UInt32
|
||||
monotonic int case: Date -> Int16
|
||||
monotonic int case: Date -> UInt16
|
||||
monotonic int case: Date -> Int8
|
||||
monotonic int case: Date -> UInt8
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
OK
|
||||
|
||||
@ -47,38 +47,42 @@ ${CLICKHOUSE_CLIENT} --query="INSERT INTO date_test_table VALUES (1), (2), (2),
|
||||
CLICKHOUSE_CLIENT=$(echo ${CLICKHOUSE_CLIENT} | sed 's/'"--send_logs_level=${CLICKHOUSE_CLIENT_SERVER_LOGS_LEVEL}"'/--send_logs_level=debug/g')
|
||||
CLICKHOUSE_CLIENT="${CLICKHOUSE_CLIENT} --optimize_use_implicit_projections 0"
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM string_test_table WHERE toUInt64(val) == 0;" 2>&1 |grep -q "3 marks to read from 1 ranges" && echo "no monotonic int case: String -> UInt64"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM fixed_string_test_table WHERE toUInt64(val) == 0;" 2>&1 |grep -q "3 marks to read from 1 ranges" && echo "no monotonic int case: FixedString -> UInt64"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM string_test_table WHERE toUInt64(val) == 0;" 2>&1 |grep -q "3 marks to read from 1 ranges" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM fixed_string_test_table WHERE toUInt64(val) == 0;" 2>&1 |grep -q "3 marks to read from 1 ranges" && echo "OK" &
|
||||
wait
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toInt64(val) == 0;" 2>&1 |grep -q "2 marks to read from" && echo "monotonic int case: Int32 -> Int64"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toUInt64(val) == 0;" 2>&1 |grep -q "2 marks to read from" && echo "monotonic int case: Int32 -> UInt64"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toInt32(val) == 0;" 2>&1 |grep -q "2 marks to read from" && echo "monotonic int case: Int32 -> Int32"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toUInt32(val) == 0;" 2>&1 |grep -q "2 marks to read from" && echo "monotonic int case: Int32 -> UInt32"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toInt16(val) == 0;" 2>&1 |grep -q "5 marks to read from" && echo "monotonic int case: Int32 -> Int16"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toUInt16(val) == 0;" 2>&1 |grep -q "5 marks to read from" && echo "monotonic int case: Int32 -> UInt16"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toInt64(val) == 0;" 2>&1 |grep -q "2 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toUInt64(val) == 0;" 2>&1 |grep -q "2 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toInt32(val) == 0;" 2>&1 |grep -q "2 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toUInt32(val) == 0;" 2>&1 |grep -q "2 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toInt16(val) == 0;" 2>&1 |grep -q "5 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM signed_integer_test_table WHERE toUInt16(val) == 0;" 2>&1 |grep -q "5 marks to read from" && echo "OK" &
|
||||
wait
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toInt64(val) == 0;" 2>&1 |grep -q "1 marks to read from" && echo "monotonic int case: UInt32 -> Int64"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toUInt64(val) == 0;" 2>&1 |grep -q "1 marks to read from" && echo "monotonic int case: UInt32 -> UInt64"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toInt32(val) == 0;" 2>&1 |grep -q "2 marks to read from" && echo "monotonic int case: UInt32 -> Int32"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toUInt32(val) == 0;" 2>&1 |grep -q "1 marks to read from" && echo "monotonic int case: UInt32 -> UInt32"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toInt16(val) == 0;" 2>&1 |grep -q "4 marks to read from" && echo "monotonic int case: UInt32 -> Int16"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toUInt16(val) == 0;" 2>&1 |grep -q "4 marks to read from" && echo "monotonic int case: UInt32 -> UInt16"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toInt64(val) == 0;" 2>&1 |grep -q "1 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toUInt64(val) == 0;" 2>&1 |grep -q "1 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toInt32(val) == 0;" 2>&1 |grep -q "2 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toUInt32(val) == 0;" 2>&1 |grep -q "1 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toInt16(val) == 0;" 2>&1 |grep -q "4 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM unsigned_integer_test_table WHERE toUInt16(val) == 0;" 2>&1 |grep -q "4 marks to read from" && echo "OK" &
|
||||
wait
|
||||
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toInt32(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "monotonic int case: Enum16 -> Int32"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toUInt32(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "monotonic int case: Enum16 -> UInt32"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toInt16(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "monotonic int case: Enum16 -> Int16"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toUInt16(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "monotonic int case: Enum16 -> UInt16"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toInt8(val) == 1;" 2>&1 |grep -q "5 marks to read from" && echo "monotonic int case: Enum16 -> Int8"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toUInt8(val) == 1;" 2>&1 |grep -q "5 marks to read from" && echo "monotonic int case: Enum16 -> UInt8"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toInt32(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toUInt32(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toInt16(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toUInt16(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toInt8(val) == 1;" 2>&1 |grep -q "5 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM enum_test_table WHERE toUInt8(val) == 1;" 2>&1 |grep -q "5 marks to read from" && echo "OK" &
|
||||
wait
|
||||
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toInt32(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "monotonic int case: Date -> Int32"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toUInt32(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "monotonic int case: Date -> UInt32"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toInt16(val) == 1;" 2>&1 |grep -q "2 marks to read from" && echo "monotonic int case: Date -> Int16"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toUInt16(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "monotonic int case: Date -> UInt16"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toInt8(val) == 1;" 2>&1 |grep -q "5 marks to read from" && echo "monotonic int case: Date -> Int8"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toUInt8(val) == 1;" 2>&1 |grep -q "5 marks to read from" && echo "monotonic int case: Date -> UInt8"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toInt32(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toUInt32(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toInt16(val) == 1;" 2>&1 |grep -q "2 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toUInt16(val) == 1;" 2>&1 |grep -q "1 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toInt8(val) == 1;" 2>&1 |grep -q "5 marks to read from" && echo "OK" &
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT count() FROM date_test_table WHERE toUInt8(val) == 1;" 2>&1 |grep -q "5 marks to read from" && echo "OK" &
|
||||
wait
|
||||
|
||||
CLICKHOUSE_CLIENT=$(echo ${CLICKHOUSE_CLIENT} | sed 's/--send_logs_level=debug/'"--send_logs_level=${CLICKHOUSE_CLIENT_SERVER_LOGS_LEVEL}"'/g')
|
||||
|
||||
|
||||
@ -8,58 +8,64 @@ CUR_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
. "$CUR_DIR"/../shell_config.sh
|
||||
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS contributors"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE contributors (name String) ENGINE = Memory"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
DROP TABLE IF EXISTS contributors;
|
||||
CREATE TABLE contributors (name String) ENGINE = Memory;"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM system.contributors ORDER BY name DESC FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO contributors FORMAT Parquet"
|
||||
# random results
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM contributors LIMIT 10" > /dev/null
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE contributors"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
-- random results
|
||||
SELECT * FROM contributors LIMIT 10 FORMAT Null;
|
||||
DROP TABLE contributors;
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_numbers"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_numbers (number UInt64) ENGINE = Memory"
|
||||
DROP TABLE IF EXISTS parquet_numbers;
|
||||
CREATE TABLE parquet_numbers (number UInt64) ENGINE = Memory;"
|
||||
# less than default block size (65k)
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM system.numbers LIMIT 10000 FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_numbers FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_numbers ORDER BY number DESC LIMIT 10"
|
||||
${CLICKHOUSE_CLIENT} --query="TRUNCATE TABLE parquet_numbers"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM parquet_numbers ORDER BY number DESC LIMIT 10;
|
||||
TRUNCATE TABLE parquet_numbers;"
|
||||
|
||||
# More than default block size
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM system.numbers LIMIT 100000 FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_numbers FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_numbers ORDER BY number DESC LIMIT 10"
|
||||
${CLICKHOUSE_CLIENT} --query="TRUNCATE TABLE parquet_numbers"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM parquet_numbers ORDER BY number DESC LIMIT 10;
|
||||
TRUNCATE TABLE parquet_numbers;"
|
||||
|
||||
${CLICKHOUSE_CLIENT} --max_block_size=2 --query="SELECT * FROM system.numbers LIMIT 3 FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_numbers FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_numbers ORDER BY number DESC LIMIT 10"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM parquet_numbers ORDER BY number DESC LIMIT 10;
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="TRUNCATE TABLE parquet_numbers"
|
||||
TRUNCATE TABLE parquet_numbers;"
|
||||
${CLICKHOUSE_CLIENT} --max_block_size=1 --query="SELECT * FROM system.numbers LIMIT 1000 FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_numbers FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_numbers ORDER BY number DESC LIMIT 10"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM parquet_numbers ORDER BY number DESC LIMIT 10;
|
||||
DROP TABLE parquet_numbers;
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_numbers"
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_events"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_events (event String, value UInt64, description String) ENGINE = Memory"
|
||||
DROP TABLE IF EXISTS parquet_events;
|
||||
CREATE TABLE parquet_events (event String, value UInt64, description String) ENGINE = Memory;"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM system.events FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_events FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT event, description FROM parquet_events WHERE event IN ('ContextLock', 'Query') ORDER BY event"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_events"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT event, description FROM parquet_events WHERE event IN ('ContextLock', 'Query') ORDER BY event;
|
||||
DROP TABLE parquet_events;
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_types1"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_types2"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_types3"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_types4"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_types1 (int8 Int8, uint8 UInt8, int16 Int16, uint16 UInt16, int32 Int32, uint32 UInt32, int64 Int64, uint64 UInt64, float32 Float32, float64 Float64, string String, fixedstring FixedString(15), date Date, datetime DateTime, datetime64 DateTime64(9)) ENGINE = Memory"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_types2 (int8 Int8, uint8 UInt8, int16 Int16, uint16 UInt16, int32 Int32, uint32 UInt32, int64 Int64, uint64 UInt64, float32 Float32, float64 Float64, string String, fixedstring FixedString(15), date Date, datetime DateTime, datetime64 DateTime64(9)) ENGINE = Memory"
|
||||
# convert min type
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_types3 (int8 Int8, uint8 Int8, int16 Int8, uint16 Int8, int32 Int8, uint32 Int8, int64 Int8, uint64 Int8, float32 Int8, float64 Int8, string FixedString(15), fixedstring FixedString(15), date Date, datetime Date, datetime64 DateTime64(9)) ENGINE = Memory"
|
||||
# convert max type
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_types4 (int8 Int64, uint8 Int64, int16 Int64, uint16 Int64, int32 Int64, uint32 Int64, int64 Int64, uint64 Int64, float32 Int64, float64 Int64, string String, fixedstring String, date DateTime, datetime DateTime, datetime64 DateTime64(9)) ENGINE = Memory"
|
||||
DROP TABLE IF EXISTS parquet_types1;
|
||||
DROP TABLE IF EXISTS parquet_types2;
|
||||
DROP TABLE IF EXISTS parquet_types3;
|
||||
DROP TABLE IF EXISTS parquet_types4;
|
||||
CREATE TABLE parquet_types1 (int8 Int8, uint8 UInt8, int16 Int16, uint16 UInt16, int32 Int32, uint32 UInt32, int64 Int64, uint64 UInt64, float32 Float32, float64 Float64, string String, fixedstring FixedString(15), date Date, datetime DateTime, datetime64 DateTime64(9)) ENGINE = Memory;
|
||||
CREATE TABLE parquet_types2 (int8 Int8, uint8 UInt8, int16 Int16, uint16 UInt16, int32 Int32, uint32 UInt32, int64 Int64, uint64 UInt64, float32 Float32, float64 Float64, string String, fixedstring FixedString(15), date Date, datetime DateTime, datetime64 DateTime64(9)) ENGINE = Memory;
|
||||
-- convert min type
|
||||
CREATE TABLE parquet_types3 (int8 Int8, uint8 Int8, int16 Int8, uint16 Int8, int32 Int8, uint32 Int8, int64 Int8, uint64 Int8, float32 Int8, float64 Int8, string FixedString(15), fixedstring FixedString(15), date Date, datetime Date, datetime64 DateTime64(9)) ENGINE = Memory;
|
||||
-- convert max type
|
||||
CREATE TABLE parquet_types4 (int8 Int64, uint8 Int64, int16 Int64, uint16 Int64, int32 Int64, uint32 Int64, int64 Int64, uint64 Int64, float32 Int64, float64 Int64, string String, fixedstring String, date DateTime, datetime DateTime, datetime64 DateTime64(9)) ENGINE = Memory;
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types1 values ( -108, 108, -1016, 1116, -1032, 1132, -1064, 1164, -1.032, -1.064, 'string-0', 'fixedstring', '2001-02-03', '2002-02-03 04:05:06', toDateTime64('2002-02-03 04:05:06.789', 9))"
|
||||
INSERT INTO parquet_types1 values ( -108, 108, -1016, 1116, -1032, 1132, -1064, 1164, -1.032, -1.064, 'string-0', 'fixedstring', '2001-02-03', '2002-02-03 04:05:06', toDateTime64('2002-02-03 04:05:06.789', 9));
|
||||
|
||||
# min
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types1 values ( -128, 0, -32768, 0, -2147483648, 0, -9223372036854775808, 0, -1.032, -1.064, 'string-1', 'fixedstring-1', '2003-04-05', '2003-02-03 04:05:06', toDateTime64('2003-02-03 04:05:06.789', 9))"
|
||||
-- min
|
||||
INSERT INTO parquet_types1 values ( -128, 0, -32768, 0, -2147483648, 0, -9223372036854775808, 0, -1.032, -1.064, 'string-1', 'fixedstring-1', '2003-04-05', '2003-02-03 04:05:06', toDateTime64('2003-02-03 04:05:06.789', 9));
|
||||
|
||||
# max
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types1 values ( 127, 255, 32767, 65535, 2147483647, 4294967295, 9223372036854775807, 9223372036854775807, -1.032, -1.064, 'string-2', 'fixedstring-2', '2004-06-07', '2004-02-03 04:05:06', toDateTime64('2004-02-03 04:05:06.789', 9))"
|
||||
-- max
|
||||
INSERT INTO parquet_types1 values ( 127, 255, 32767, 65535, 2147483647, 4294967295, 9223372036854775807, 9223372036854775807, -1.032, -1.064, 'string-2', 'fixedstring-2', '2004-06-07', '2004-02-03 04:05:06', toDateTime64('2004-02-03 04:05:06.789', 9));"
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types1 FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types2 FORMAT Parquet"
|
||||
|
||||
@ -72,8 +78,9 @@ ${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types2 ORDER BY int8 FORMAT
|
||||
echo diff:
|
||||
diff "${CLICKHOUSE_TMP}"/parquet_all_types_1.dump "${CLICKHOUSE_TMP}"/parquet_all_types_2.dump
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="TRUNCATE TABLE parquet_types2"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types3 values ( 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 'str01', 'fstr1', '2003-03-04', '2004-05-06', toDateTime64('2004-05-06 07:08:09.012', 9))"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
TRUNCATE TABLE parquet_types2;
|
||||
INSERT INTO parquet_types3 values ( 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 'str01', 'fstr1', '2003-03-04', '2004-05-06', toDateTime64('2004-05-06 07:08:09.012', 9));"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types3 ORDER BY int8 FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types2 FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types1 ORDER BY int8 FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types3 FORMAT Parquet"
|
||||
|
||||
@ -81,70 +88,69 @@ ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types4 values ( 80,
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types4 ORDER BY int8 FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types2 FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types1 ORDER BY int8 FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types4 FORMAT Parquet"
|
||||
|
||||
echo dest:
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types2 ORDER BY int8"
|
||||
echo min:
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types3 ORDER BY int8"
|
||||
echo max:
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types4 ORDER BY int8"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT 'dest:';
|
||||
SELECT * FROM parquet_types2 ORDER BY int8;
|
||||
SELECT 'min:';
|
||||
SELECT * FROM parquet_types3 ORDER BY int8;
|
||||
SELECT 'max:';
|
||||
SELECT * FROM parquet_types4 ORDER BY int8;
|
||||
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_types5"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_types6"
|
||||
${CLICKHOUSE_CLIENT} --query="TRUNCATE TABLE parquet_types2"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_types5 (int8 Nullable(Int8), uint8 Nullable(UInt8), int16 Nullable(Int16), uint16 Nullable(UInt16), int32 Nullable(Int32), uint32 Nullable(UInt32), int64 Nullable(Int64), uint64 Nullable(UInt64), float32 Nullable(Float32), float64 Nullable(Float64), string Nullable(String), fixedstring Nullable(FixedString(15)), date Nullable(Date), datetime Nullable(DateTime), datetime64 Nullable(DateTime64(9))) ENGINE = Memory"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_types6 (int8 Nullable(Int8), uint8 Nullable(UInt8), int16 Nullable(Int16), uint16 Nullable(UInt16), int32 Nullable(Int32), uint32 Nullable(UInt32), int64 Nullable(Int64), uint64 Nullable(UInt64), float32 Nullable(Float32), float64 Nullable(Float64), string Nullable(String), fixedstring Nullable(FixedString(15)), date Nullable(Date), datetime Nullable(DateTime), datetime64 Nullable(DateTime64(9))) ENGINE = Memory"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types5 values ( NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL)"
|
||||
DROP TABLE IF EXISTS parquet_types5;
|
||||
DROP TABLE IF EXISTS parquet_types6;
|
||||
TRUNCATE TABLE parquet_types2;
|
||||
CREATE TABLE parquet_types5 (int8 Nullable(Int8), uint8 Nullable(UInt8), int16 Nullable(Int16), uint16 Nullable(UInt16), int32 Nullable(Int32), uint32 Nullable(UInt32), int64 Nullable(Int64), uint64 Nullable(UInt64), float32 Nullable(Float32), float64 Nullable(Float64), string Nullable(String), fixedstring Nullable(FixedString(15)), date Nullable(Date), datetime Nullable(DateTime), datetime64 Nullable(DateTime64(9))) ENGINE = Memory;
|
||||
CREATE TABLE parquet_types6 (int8 Nullable(Int8), uint8 Nullable(UInt8), int16 Nullable(Int16), uint16 Nullable(UInt16), int32 Nullable(Int32), uint32 Nullable(UInt32), int64 Nullable(Int64), uint64 Nullable(UInt64), float32 Nullable(Float32), float64 Nullable(Float64), string Nullable(String), fixedstring Nullable(FixedString(15)), date Nullable(Date), datetime Nullable(DateTime), datetime64 Nullable(DateTime64(9))) ENGINE = Memory;
|
||||
INSERT INTO parquet_types5 values ( NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types5 ORDER BY int8 FORMAT Parquet" > "${CLICKHOUSE_TMP}"/parquet_all_types_5.parquet
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types5 ORDER BY int8 FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types6 FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types1 ORDER BY int8 FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_types6 FORMAT Parquet"
|
||||
echo dest from null:
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_types6 ORDER BY int8"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM parquet_types6 ORDER BY int8;
|
||||
|
||||
DROP TABLE parquet_types5;
|
||||
DROP TABLE parquet_types6;
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_types5"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_types6"
|
||||
DROP TABLE parquet_types1;
|
||||
DROP TABLE parquet_types2;
|
||||
DROP TABLE parquet_types3;
|
||||
DROP TABLE parquet_types4;
|
||||
|
||||
DROP TABLE IF EXISTS parquet_arrays;
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_types1"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_types2"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_types3"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_types4"
|
||||
CREATE TABLE parquet_arrays (id UInt32, a1 Array(Int8), a2 Array(UInt8), a3 Array(Int16), a4 Array(UInt16), a5 Array(Int32), a6 Array(UInt32), a7 Array(Int64), a8 Array(UInt64), a9 Array(String), a10 Array(FixedString(4)), a11 Array(Float32), a12 Array(Float64), a13 Array(Date), a14 Array(DateTime), a15 Array(Decimal(4, 2)), a16 Array(Decimal(10, 2)), a17 Array(Decimal(25, 2))) engine=Memory();
|
||||
|
||||
INSERT INTO parquet_arrays VALUES (1, [1,-2,3], [1,2,3], [100, -200, 300], [100, 200, 300], [10000000, -20000000, 30000000], [10000000, 2000000, 3000000], [100000000000000, -200000000000, 3000000000000], [100000000000000, 20000000000000, 3000000000000], ['Some string', 'Some string', 'Some string'], ['0000', '1111', '2222'], [42.42, 424.2, 0.4242], [424242.424242, 4242042420.242424, 42], ['2000-01-01', '2001-01-01', '2002-01-01'], ['2000-01-01', '2001-01-01', '2002-01-01'], [0.2, 10.003, 4.002], [4.000000001, 10000.10000, 10000.100001], [1000000000.000000001123, 90.0000000010010101, 0101001.0112341001]);
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_arrays"
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_arrays (id UInt32, a1 Array(Int8), a2 Array(UInt8), a3 Array(Int16), a4 Array(UInt16), a5 Array(Int32), a6 Array(UInt32), a7 Array(Int64), a8 Array(UInt64), a9 Array(String), a10 Array(FixedString(4)), a11 Array(Float32), a12 Array(Float64), a13 Array(Date), a14 Array(DateTime), a15 Array(Decimal(4, 2)), a16 Array(Decimal(10, 2)), a17 Array(Decimal(25, 2))) engine=Memory()"
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_arrays VALUES (1, [1,-2,3], [1,2,3], [100, -200, 300], [100, 200, 300], [10000000, -20000000, 30000000], [10000000, 2000000, 3000000], [100000000000000, -200000000000, 3000000000000], [100000000000000, 20000000000000, 3000000000000], ['Some string', 'Some string', 'Some string'], ['0000', '1111', '2222'], [42.42, 424.2, 0.4242], [424242.424242, 4242042420.242424, 42], ['2000-01-01', '2001-01-01', '2002-01-01'], ['2000-01-01', '2001-01-01', '2002-01-01'], [0.2, 10.003, 4.002], [4.000000001, 10000.10000, 10000.100001], [1000000000.000000001123, 90.0000000010010101, 0101001.0112341001])"
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_arrays VALUES (2, [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [])"
|
||||
INSERT INTO parquet_arrays VALUES (2, [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], []);"
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_arrays FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_arrays FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_arrays ORDER BY id"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM parquet_arrays ORDER BY id;
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_arrays"
|
||||
DROP TABLE parquet_arrays;
|
||||
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_nullable_arrays"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_nullable_arrays (id UInt32, a1 Array(Nullable(UInt32)), a2 Array(Nullable(String)), a3 Array(Nullable(Decimal(4, 2)))) engine=Memory()"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_nullable_arrays VALUES (1, [1, Null, 2], [Null, 'Some string', Null], [0.001, Null, 42.42]), (2, [Null], [Null], [Null]), (3, [], [], [])"
|
||||
DROP TABLE IF EXISTS parquet_nullable_arrays;
|
||||
CREATE TABLE parquet_nullable_arrays (id UInt32, a1 Array(Nullable(UInt32)), a2 Array(Nullable(String)), a3 Array(Nullable(Decimal(4, 2)))) engine=Memory();
|
||||
INSERT INTO parquet_nullable_arrays VALUES (1, [1, Null, 2], [Null, 'Some string', Null], [0.001, Null, 42.42]), (2, [Null], [Null], [Null]), (3, [], [], []);"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_nullable_arrays FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_nullable_arrays FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_nullable_arrays ORDER BY id"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_nullable_arrays"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM parquet_nullable_arrays ORDER BY id;
|
||||
DROP TABLE parquet_nullable_arrays;
|
||||
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_nested_arrays"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_nested_arrays (a1 Array(Array(Array(UInt32))), a2 Array(Array(Array(String))), a3 Array(Array(Nullable(UInt32))), a4 Array(Array(Nullable(String)))) engine=Memory() "
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_nested_arrays VALUES ([[[1,2,3], [1,2,3]], [[1,2,3]], [[], [1,2,3]]], [[['Some string', 'Some string'], []], [['Some string']], [[]]], [[Null, 1, 2], [Null], [1, 2], []], [['Some string', Null, 'Some string'], [Null], []])"
|
||||
DROP TABLE IF EXISTS parquet_nested_arrays;
|
||||
CREATE TABLE parquet_nested_arrays (a1 Array(Array(Array(UInt32))), a2 Array(Array(Array(String))), a3 Array(Array(Nullable(UInt32))), a4 Array(Array(Nullable(String)))) engine=Memory();
|
||||
INSERT INTO parquet_nested_arrays VALUES ([[[1,2,3], [1,2,3]], [[1,2,3]], [[], [1,2,3]]], [[['Some string', 'Some string'], []], [['Some string']], [[]]], [[Null, 1, 2], [Null], [1, 2], []], [['Some string', Null, 'Some string'], [Null], []]);"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_nested_arrays FORMAT Parquet" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_nested_arrays FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_nested_arrays"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_nested_arrays"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM parquet_nested_arrays;
|
||||
DROP TABLE parquet_nested_arrays;
|
||||
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_decimal"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE parquet_decimal (d1 Decimal32(4), d2 Decimal64(8), d3 Decimal128(16), d4 Decimal256(32)) ENGINE = Memory"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO TABLE parquet_decimal VALUES (0.123, 0.123123123, 0.123123123123, 0.123123123123123123)"
|
||||
DROP TABLE IF EXISTS parquet_decimal;
|
||||
CREATE TABLE parquet_decimal (d1 Decimal32(4), d2 Decimal64(8), d3 Decimal128(16), d4 Decimal256(32)) ENGINE = Memory;
|
||||
INSERT INTO TABLE parquet_decimal VALUES (0.123, 0.123123123, 0.123123123123, 0.123123123123123123);"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_decimal FORMAT Arrow" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_decimal FORMAT Arrow"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_decimal"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_decimal"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM parquet_decimal;
|
||||
DROP TABLE parquet_decimal;"
|
||||
|
||||
@ -6,108 +6,115 @@
|
||||
CUR_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
# shellcheck source=../shell_config.sh
|
||||
. "$CUR_DIR"/../shell_config.sh
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS decimal;"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS decimal2;"
|
||||
|
||||
# Simple small values
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE IF NOT EXISTS decimal (a DECIMAL(9,0), b DECIMAL(18,0), c DECIMAL(38,0), d DECIMAL(9, 9), e DECIMAL(18, 18), f DECIMAL(38, 38), g Decimal(9, 5), h decimal(18, 9), i deciMAL(38, 18), j DECIMAL(1,0)) ENGINE = Memory;"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE IF NOT EXISTS decimal2 AS decimal ENGINE = Memory;"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (0, 0, 0, 0, 0, 0, 0, 0, 0, 0);"
|
||||
#${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (1, 1, 1, 0.1, 0.1, 1, 1, 1, 1, 1);"
|
||||
#${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (10, 10, 10, 0.1, 0.1, 0.1, 10, 10, 10, 10);"
|
||||
#${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (-100, -100, -100, -0.1, -0.1, -0.1, -100, -100, -100, -100);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c) VALUES (1, 1, 1);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c) VALUES (10, 10, 10);"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
DROP TABLE IF EXISTS decimal;
|
||||
DROP TABLE IF EXISTS decimal2;
|
||||
|
||||
-- Simple small values
|
||||
CREATE TABLE IF NOT EXISTS decimal (a DECIMAL(9,0), b DECIMAL(18,0), c DECIMAL(38,0), d DECIMAL(9, 9), e DECIMAL(18, 18), f DECIMAL(38, 38), g Decimal(9, 5), h decimal(18, 9), i deciMAL(38, 18), j DECIMAL(1,0)) ENGINE = Memory;
|
||||
CREATE TABLE IF NOT EXISTS decimal2 AS decimal ENGINE = Memory;
|
||||
INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (0, 0, 0, 0, 0, 0, 0, 0, 0, 0);
|
||||
-- INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (1, 1, 1, 0.1, 0.1, 1, 1, 1, 1, 1);
|
||||
-- INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (10, 10, 10, 0.1, 0.1, 0.1, 10, 10, 10, 10);
|
||||
-- INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (-100, -100, -100, -0.1, -0.1, -0.1, -100, -100, -100, -100);
|
||||
INSERT INTO decimal (a, b, c) VALUES (1, 1, 1);
|
||||
INSERT INTO decimal (a, b, c) VALUES (10, 10, 10);"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d, e, f, g, h, i, j;" > "${CLICKHOUSE_TMP}"/parquet_decimal0_1.dump
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d, e, f, g, h, i, j FORMAT Parquet;" > "${CLICKHOUSE_TMP}"/parquet_decimal0.parquet
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d, e, f, g, h, i, j FORMAT Parquet;" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal2 FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal2 ORDER BY a, b, c, d, e, f, g, h, i, j;" > "${CLICKHOUSE_TMP}"/parquet_decimal0_2.dump
|
||||
echo diff0:
|
||||
diff "${CLICKHOUSE_TMP}"/parquet_decimal0_1.dump "${CLICKHOUSE_TMP}"/parquet_decimal0_2.dump
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS decimal;"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS decimal2;"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
DROP TABLE IF EXISTS decimal;
|
||||
DROP TABLE IF EXISTS decimal2;
|
||||
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE IF NOT EXISTS decimal ( a DECIMAL(9,0), b DECIMAL(18,0), c DECIMAL(38,0), d DECIMAL(9, 9), e DECIMAL(18, 18), f DECIMAL(38, 38), g Decimal(9, 5), h decimal(18, 9), i deciMAL(38, 18), j DECIMAL(1,0)) ENGINE = Memory;"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE IF NOT EXISTS decimal2 AS decimal ENGINE = Memory;"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, d, g) VALUES (999999999, 999999999999999999, 0.999999999, 9999.99999);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, d, g) VALUES (-999999999, -999999999999999999, -0.999999999, -9999.99999);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (c) VALUES (99999999999999999999999999999999999999);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (c) VALUES (-99999999999999999999999999999999999999);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (f) VALUES (0.99999999999999999999999999999999999999);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (f) VALUES (-0.99999999999999999999999999999999999999);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (e, h) VALUES (0.999999999999999999, 999999999.999999999);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (e, h) VALUES (-0.999999999999999999, -999999999.999999999);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (i) VALUES (99999999999999999999.999999999999999999);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (i) VALUES (-99999999999999999999.999999999999999999);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, g, j, h) VALUES (1, 1, 1, 0.000000001, 0.00001, 1, 0.000000001);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, g, j, h) VALUES (-1, -1, -1, -0.000000001, -0.00001, -1, -0.000000001);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (e, f) VALUES (0.000000000000000001, 0.00000000000000000000000000000000000001);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (e, f) VALUES (-0.000000000000000001, -0.00000000000000000000000000000000000001);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (i) VALUES (0.000000000000000001);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (i) VALUES (-0.000000000000000001);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (0, 0, 0, 0, 0, 0, 0, 0, 0, 0);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (-0, -0, -0, -0, -0, -0, -0, -0, -0, -0);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, g) VALUES ('42.00000', 42.0000000000000000000000000000000, '0.999990');"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f) VALUES ('0.9e9', '0.9e18', '0.9e38', '9e-9', '9e-18', '9e-38');"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f) VALUES ('-0.9e9', '-0.9e18', '-0.9e38', '-9e-9', '-9e-18', '-9e-38');"
|
||||
CREATE TABLE IF NOT EXISTS decimal ( a DECIMAL(9,0), b DECIMAL(18,0), c DECIMAL(38,0), d DECIMAL(9, 9), e DECIMAL(18, 18), f DECIMAL(38, 38), g Decimal(9, 5), h decimal(18, 9), i deciMAL(38, 18), j DECIMAL(1,0)) ENGINE = Memory;
|
||||
CREATE TABLE IF NOT EXISTS decimal2 AS decimal ENGINE = Memory;
|
||||
INSERT INTO decimal (a, b, d, g) VALUES (999999999, 999999999999999999, 0.999999999, 9999.99999);
|
||||
INSERT INTO decimal (a, b, d, g) VALUES (-999999999, -999999999999999999, -0.999999999, -9999.99999);
|
||||
INSERT INTO decimal (c) VALUES (99999999999999999999999999999999999999);
|
||||
INSERT INTO decimal (c) VALUES (-99999999999999999999999999999999999999);
|
||||
INSERT INTO decimal (f) VALUES (0.99999999999999999999999999999999999999);
|
||||
INSERT INTO decimal (f) VALUES (-0.99999999999999999999999999999999999999);
|
||||
INSERT INTO decimal (e, h) VALUES (0.999999999999999999, 999999999.999999999);
|
||||
INSERT INTO decimal (e, h) VALUES (-0.999999999999999999, -999999999.999999999);
|
||||
INSERT INTO decimal (i) VALUES (99999999999999999999.999999999999999999);
|
||||
INSERT INTO decimal (i) VALUES (-99999999999999999999.999999999999999999);
|
||||
INSERT INTO decimal (a, b, c, d, g, j, h) VALUES (1, 1, 1, 0.000000001, 0.00001, 1, 0.000000001);
|
||||
INSERT INTO decimal (a, b, c, d, g, j, h) VALUES (-1, -1, -1, -0.000000001, -0.00001, -1, -0.000000001);
|
||||
INSERT INTO decimal (e, f) VALUES (0.000000000000000001, 0.00000000000000000000000000000000000001);
|
||||
INSERT INTO decimal (e, f) VALUES (-0.000000000000000001, -0.00000000000000000000000000000000000001);
|
||||
INSERT INTO decimal (i) VALUES (0.000000000000000001);
|
||||
INSERT INTO decimal (i) VALUES (-0.000000000000000001);
|
||||
INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (0, 0, 0, 0, 0, 0, 0, 0, 0, 0);
|
||||
INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (-0, -0, -0, -0, -0, -0, -0, -0, -0, -0);
|
||||
INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0);
|
||||
INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0);
|
||||
INSERT INTO decimal (a, b, g) VALUES ('42.00000', 42.0000000000000000000000000000000, '0.999990');
|
||||
INSERT INTO decimal (a, b, c, d, e, f) VALUES ('0.9e9', '0.9e18', '0.9e38', '9e-9', '9e-18', '9e-38');
|
||||
INSERT INTO decimal (a, b, c, d, e, f) VALUES ('-0.9e9', '-0.9e18', '-0.9e38', '-9e-9', '-9e-18', '-9e-38');"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d, e, f, g, h, i, j;" > "${CLICKHOUSE_TMP}"/parquet_decimal1_1.dump
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d, e, f, g, h, i, j FORMAT Parquet;" > "${CLICKHOUSE_TMP}"/parquet_decimal1.parquet
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d, e, f, g, h, i, j FORMAT Parquet;" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal2 FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal2 ORDER BY a, b, c, d, e, f, g, h, i, j;" > "${CLICKHOUSE_TMP}"/parquet_decimal1_2.dump
|
||||
echo diff1:
|
||||
diff "${CLICKHOUSE_TMP}"/parquet_decimal1_1.dump "${CLICKHOUSE_TMP}"/parquet_decimal1_2.dump
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS decimal;"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS decimal2;"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
DROP TABLE IF EXISTS decimal;
|
||||
DROP TABLE IF EXISTS decimal2;
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE IF NOT EXISTS decimal (a DECIMAL(9,0), b DECIMAL(18,0), c DECIMAL(38,0), d DECIMAL(9, 9), e Decimal64(18), f Decimal128(38), g Decimal32(5), h Decimal64(9), i Decimal128(18), j dec(4,2)) ENGINE = Memory;"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE IF NOT EXISTS decimal2 AS decimal ENGINE = Memory;"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (42, 42, 42, 0.42, 0.42, 0.42, 42.42, 42.42, 42.42, 42.42);"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (-42, -42, -42, -0.42, -0.42, -0.42, -42.42, -42.42, -42.42, -42.42);"
|
||||
CREATE TABLE IF NOT EXISTS decimal (a DECIMAL(9,0), b DECIMAL(18,0), c DECIMAL(38,0), d DECIMAL(9, 9), e Decimal64(18), f Decimal128(38), g Decimal32(5), h Decimal64(9), i Decimal128(18), j dec(4,2)) ENGINE = Memory;
|
||||
CREATE TABLE IF NOT EXISTS decimal2 AS decimal ENGINE = Memory;
|
||||
INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (42, 42, 42, 0.42, 0.42, 0.42, 42.42, 42.42, 42.42, 42.42);
|
||||
INSERT INTO decimal (a, b, c, d, e, f, g, h, i, j) VALUES (-42, -42, -42, -0.42, -0.42, -0.42, -42.42, -42.42, -42.42, -42.42);"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d, e, f, g, h, i, j;" > "${CLICKHOUSE_TMP}"/parquet_decimal2_1.dump
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d, e, f, g, h, i, j FORMAT Parquet;" > "${CLICKHOUSE_TMP}"/parquet_decimal2.parquet
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d, e, f, g, h, i, j FORMAT Parquet;" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal2 FORMAT Parquet"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal2 ORDER BY a, b, c, d, e, f, g, h, i, j;" > "${CLICKHOUSE_TMP}"/parquet_decimal2_2.dump
|
||||
echo diff2:
|
||||
diff "${CLICKHOUSE_TMP}"/parquet_decimal2_1.dump "${CLICKHOUSE_TMP}"/parquet_decimal2_2.dump
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS decimal;"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS decimal2;"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
DROP TABLE IF EXISTS decimal;
|
||||
DROP TABLE IF EXISTS decimal2;
|
||||
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE IF NOT EXISTS decimal (a Nullable(DECIMAL(9,0)), b Nullable(DECIMAL(18,0)), c Nullable(DECIMAL(38,0)), d Nullable(DECIMAL(9,0))) ENGINE = Memory;"
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE IF NOT EXISTS decimal2 AS decimal ENGINE = Memory;"
|
||||
CREATE TABLE IF NOT EXISTS decimal (a Nullable(DECIMAL(9,0)), b Nullable(DECIMAL(18,0)), c Nullable(DECIMAL(38,0)), d Nullable(DECIMAL(9,0))) ENGINE = Memory;
|
||||
CREATE TABLE IF NOT EXISTS decimal2 AS decimal ENGINE = Memory;"
|
||||
# Empty table test
|
||||
# throws No data to insert
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d FORMAT Parquet;" > "${CLICKHOUSE_TMP}"/parquet_decimal3_1.parquet
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d FORMAT Parquet;" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal2 FORMAT Parquet" 2> /dev/null
|
||||
echo nothing:
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal2 ORDER BY a, b, c, d;"
|
||||
${CLICKHOUSE_CLIENT} --query="TRUNCATE TABLE decimal2;"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM decimal2 ORDER BY a, b, c, d;
|
||||
TRUNCATE TABLE decimal2;
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal VALUES (Null, Null, Null, Null)"
|
||||
INSERT INTO decimal VALUES (Null, Null, Null, Null);"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d FORMAT Parquet;" > "${CLICKHOUSE_TMP}"/parquet_decimal3_2.parquet
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d FORMAT Parquet;" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal2 FORMAT Parquet"
|
||||
echo nulls:
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal2 ORDER BY a, b, c, d;"
|
||||
${CLICKHOUSE_CLIENT} --query="TRUNCATE TABLE decimal2;"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM decimal2 ORDER BY a, b, c, d;
|
||||
TRUNCATE TABLE decimal2;
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal VALUES (1, Null, Null, Null)"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal VALUES (Null, 1, Null, Null)"
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal VALUES (Null, Null, 1, Null)"
|
||||
INSERT INTO decimal VALUES (1, Null, Null, Null);
|
||||
INSERT INTO decimal VALUES (Null, 1, Null, Null);
|
||||
INSERT INTO decimal VALUES (Null, Null, 1, Null);"
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d FORMAT Parquet;" > "${CLICKHOUSE_TMP}"/parquet_decimal3_3.parquet
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d FORMAT Parquet;" | ${CLICKHOUSE_CLIENT} --query="INSERT INTO decimal2 FORMAT Parquet"
|
||||
|
||||
echo full orig:
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal ORDER BY a, b, c, d;"
|
||||
echo full inserted:
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal2 ORDER BY a, b, c, d;"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT 'full orig:';
|
||||
SELECT * FROM decimal ORDER BY a, b, c, d;
|
||||
SELECT 'full inserted:';
|
||||
SELECT * FROM decimal2 ORDER BY a, b, c, d;"
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal2 ORDER BY a, b, c, d;" > "${CLICKHOUSE_TMP}"/parquet_decimal3_1.dump
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM decimal2 ORDER BY a, b, c, d;" > "${CLICKHOUSE_TMP}"/parquet_decimal3_2.dump
|
||||
|
||||
echo diff3:
|
||||
diff "${CLICKHOUSE_TMP}"/parquet_decimal3_1.dump "${CLICKHOUSE_TMP}"/parquet_decimal3_2.dump
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS decimal;"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS decimal2;"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
DROP TABLE IF EXISTS decimal;
|
||||
DROP TABLE IF EXISTS decimal2;"
|
||||
|
||||
@ -57,14 +57,14 @@ for NAME in $(find "$DATA_DIR"/*.parquet -print0 | xargs -0 -n 1 basename | LC_A
|
||||
# COLUMNS=`$CUR_DIR/00900_parquet_create_table_columns.py $JSON` 2>&1 || continue
|
||||
COLUMNS=$(cat "$COLUMNS_FILE") || continue
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE IF EXISTS parquet_load"
|
||||
$CLICKHOUSE_CLIENT <<EOF
|
||||
CREATE TABLE parquet_load ($COLUMNS) ENGINE = Memory;
|
||||
EOF
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
DROP TABLE IF EXISTS parquet_load;
|
||||
CREATE TABLE parquet_load ($COLUMNS) ENGINE = Memory;"
|
||||
|
||||
# Some files contain unsupported data structures, exception is ok.
|
||||
${CLICKHOUSE_CLIENT} --query="INSERT INTO parquet_load FORMAT Parquet" < "$DATA_DIR"/"$NAME" 2>&1 | sed 's/Exception/Ex---tion/'
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="SELECT * FROM parquet_load ORDER BY tuple(*) LIMIT 100"
|
||||
${CLICKHOUSE_CLIENT} --query="DROP TABLE parquet_load"
|
||||
${CLICKHOUSE_CLIENT} -n --query="
|
||||
SELECT * FROM parquet_load ORDER BY tuple(*) LIMIT 100;
|
||||
DROP TABLE parquet_load;"
|
||||
done
|
||||
|
||||
@ -1,17 +1,17 @@
|
||||
1
|
||||
CREATE DATABASE test_01114_1\nENGINE = Atomic
|
||||
CREATE DATABASE test_01114_2\nENGINE = Atomic
|
||||
CREATE DATABASE test_01114_3\nENGINE = Ordinary
|
||||
test_01114_1 Atomic store 00001114-1000-4000-8000-000000000001 1
|
||||
test_01114_2 Atomic store 00001114-1000-4000-8000-000000000002 1
|
||||
test_01114_3 Ordinary test_01114_3 test_01114_3 1
|
||||
CREATE DATABASE default_1\nENGINE = Atomic
|
||||
CREATE DATABASE default_2\nENGINE = Atomic
|
||||
CREATE DATABASE default_3\nENGINE = Ordinary
|
||||
default_1 Atomic store 00001114-1000-4000-8000-000000000001 1
|
||||
default_2 Atomic store 00001114-1000-4000-8000-000000000002 1
|
||||
default_3 Ordinary default_3 default_3 1
|
||||
110
|
||||
100
|
||||
CREATE TABLE test_01114_2.mt UUID \'00001114-0000-4000-8000-000000000002\'\n(\n `n` UInt64\n)\nENGINE = MergeTree\nPARTITION BY n % 5\nORDER BY tuple()\nSETTINGS index_granularity = 8192
|
||||
mt 00001114-0000-4000-8000-000000000002 CREATE TABLE test_01114_2.mt (`n` UInt64) ENGINE = MergeTree PARTITION BY n % 5 ORDER BY tuple() SETTINGS index_granularity = 8192
|
||||
CREATE TABLE default_2.mt UUID \'00001114-0000-4000-8000-000000000002\'\n(\n `n` UInt64\n)\nENGINE = MergeTree\nPARTITION BY n % 5\nORDER BY tuple()\nSETTINGS index_granularity = 8192
|
||||
mt 00001114-0000-4000-8000-000000000002 CREATE TABLE default_2.mt (`n` UInt64) ENGINE = MergeTree PARTITION BY n % 5 ORDER BY tuple() SETTINGS index_granularity = 8192
|
||||
110
|
||||
CREATE TABLE test_01114_1.mt UUID \'00001114-0000-4000-8000-000000000001\'\n(\n `n` UInt64\n)\nENGINE = MergeTree\nPARTITION BY n % 5\nORDER BY tuple()\nSETTINGS index_granularity = 8192
|
||||
CREATE TABLE test_01114_2.mt UUID \'00001114-0000-4000-8000-000000000002\'\n(\n `n` UInt64\n)\nENGINE = MergeTree\nPARTITION BY n % 5\nORDER BY tuple()\nSETTINGS index_granularity = 8192
|
||||
CREATE TABLE default_1.mt UUID \'00001114-0000-4000-8000-000000000001\'\n(\n `n` UInt64\n)\nENGINE = MergeTree\nPARTITION BY n % 5\nORDER BY tuple()\nSETTINGS index_granularity = 8192
|
||||
CREATE TABLE default_2.mt UUID \'00001114-0000-4000-8000-000000000002\'\n(\n `n` UInt64\n)\nENGINE = MergeTree\nPARTITION BY n % 5\nORDER BY tuple()\nSETTINGS index_granularity = 8192
|
||||
5
|
||||
dropped
|
||||
110 5995
|
||||
|
||||
@ -9,81 +9,98 @@ CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
# shellcheck source=../shell_config.sh
|
||||
. "$CURDIR"/../shell_config.sh
|
||||
|
||||
DATABASE_1="${CLICKHOUSE_DATABASE}_1"
|
||||
DATABASE_2="${CLICKHOUSE_DATABASE}_2"
|
||||
DATABASE_3="${CLICKHOUSE_DATABASE}_3"
|
||||
|
||||
$CLICKHOUSE_CLIENT -nm -q "
|
||||
DROP DATABASE IF EXISTS test_01114_1;
|
||||
DROP DATABASE IF EXISTS test_01114_2;
|
||||
DROP DATABASE IF EXISTS test_01114_3;
|
||||
"
|
||||
$CLICKHOUSE_CLIENT --allow_deprecated_database_ordinary=0 -q "CREATE DATABASE ${DATABASE_1} ENGINE=Ordinary" 2>&1| grep -Fac "UNKNOWN_DATABASE_ENGINE"
|
||||
|
||||
$CLICKHOUSE_CLIENT --allow_deprecated_database_ordinary=0 -q "CREATE DATABASE test_01114_1 ENGINE=Ordinary" 2>&1| grep -Fac "UNKNOWN_DATABASE_ENGINE"
|
||||
$CLICKHOUSE_CLIENT -q "CREATE DATABASE ${DATABASE_1} ENGINE=Atomic"
|
||||
$CLICKHOUSE_CLIENT -q "CREATE DATABASE ${DATABASE_2}"
|
||||
$CLICKHOUSE_CLIENT --allow_deprecated_database_ordinary=1 -q "CREATE DATABASE ${DATABASE_3} ENGINE=Ordinary"
|
||||
|
||||
$CLICKHOUSE_CLIENT -q "CREATE DATABASE test_01114_1 ENGINE=Atomic"
|
||||
$CLICKHOUSE_CLIENT -q "CREATE DATABASE test_01114_2"
|
||||
$CLICKHOUSE_CLIENT --allow_deprecated_database_ordinary=1 -q "CREATE DATABASE test_01114_3 ENGINE=Ordinary"
|
||||
$CLICKHOUSE_CLIENT --show_table_uuid_in_table_create_query_if_not_nil=0 -q "SHOW CREATE DATABASE ${DATABASE_1}"
|
||||
$CLICKHOUSE_CLIENT --show_table_uuid_in_table_create_query_if_not_nil=0 -q "SHOW CREATE DATABASE ${DATABASE_2}"
|
||||
$CLICKHOUSE_CLIENT -q "SHOW CREATE DATABASE ${DATABASE_3}"
|
||||
|
||||
$CLICKHOUSE_CLIENT --show_table_uuid_in_table_create_query_if_not_nil=0 -q "SHOW CREATE DATABASE test_01114_1"
|
||||
$CLICKHOUSE_CLIENT --show_table_uuid_in_table_create_query_if_not_nil=0 -q "SHOW CREATE DATABASE test_01114_2"
|
||||
$CLICKHOUSE_CLIENT -q "SHOW CREATE DATABASE test_01114_3"
|
||||
|
||||
uuid_db_1=`$CLICKHOUSE_CLIENT -q "SELECT uuid FROM system.databases WHERE name='test_01114_1'"`
|
||||
uuid_db_2=`$CLICKHOUSE_CLIENT -q "SELECT uuid FROM system.databases WHERE name='test_01114_2'"`
|
||||
uuid_db_1=`$CLICKHOUSE_CLIENT -q "SELECT uuid FROM system.databases WHERE name='${DATABASE_1}'"`
|
||||
uuid_db_2=`$CLICKHOUSE_CLIENT -q "SELECT uuid FROM system.databases WHERE name='${DATABASE_2}'"`
|
||||
$CLICKHOUSE_CLIENT -q "SELECT name,
|
||||
engine,
|
||||
splitByChar('/', data_path)[-2],
|
||||
splitByChar('/', metadata_path)[-2] as uuid_path, ((splitByChar('/', metadata_path)[-3] as metadata) = substr(uuid_path, 1, 3)) OR metadata='metadata'
|
||||
FROM system.databases WHERE name LIKE 'test_01114_%'" | sed "s/$uuid_db_1/00001114-1000-4000-8000-000000000001/g" | sed "s/$uuid_db_2/00001114-1000-4000-8000-000000000002/g"
|
||||
FROM system.databases WHERE name LIKE '${CLICKHOUSE_DATABASE}_%'" | sed "s/$uuid_db_1/00001114-1000-4000-8000-000000000001/g" | sed "s/$uuid_db_2/00001114-1000-4000-8000-000000000002/g"
|
||||
|
||||
$CLICKHOUSE_CLIENT -nm -q "
|
||||
CREATE TABLE test_01114_1.mt_tmp (n UInt64) ENGINE=MergeTree() ORDER BY tuple();
|
||||
INSERT INTO test_01114_1.mt_tmp SELECT * FROM numbers(100);
|
||||
CREATE TABLE test_01114_3.mt (n UInt64) ENGINE=MergeTree() ORDER BY tuple() PARTITION BY (n % 5);
|
||||
INSERT INTO test_01114_3.mt SELECT * FROM numbers(110);
|
||||
CREATE TABLE ${DATABASE_1}.mt_tmp (n UInt64) ENGINE=MergeTree() ORDER BY tuple();
|
||||
INSERT INTO ${DATABASE_1}.mt_tmp SELECT * FROM numbers(100);
|
||||
CREATE TABLE ${DATABASE_3}.mt (n UInt64) ENGINE=MergeTree() ORDER BY tuple() PARTITION BY (n % 5);
|
||||
INSERT INTO ${DATABASE_3}.mt SELECT * FROM numbers(110);
|
||||
|
||||
RENAME TABLE test_01114_1.mt_tmp TO test_01114_3.mt_tmp; /* move from Atomic to Ordinary */
|
||||
RENAME TABLE test_01114_3.mt TO test_01114_1.mt; /* move from Ordinary to Atomic */
|
||||
SELECT count() FROM test_01114_1.mt;
|
||||
SELECT count() FROM test_01114_3.mt_tmp;
|
||||
RENAME TABLE ${DATABASE_1}.mt_tmp TO ${DATABASE_3}.mt_tmp; /* move from Atomic to Ordinary */
|
||||
RENAME TABLE ${DATABASE_3}.mt TO ${DATABASE_1}.mt; /* move from Ordinary to Atomic */
|
||||
SELECT count() FROM ${DATABASE_1}.mt;
|
||||
SELECT count() FROM ${DATABASE_3}.mt_tmp;
|
||||
|
||||
DROP DATABASE test_01114_3;
|
||||
DROP DATABASE ${DATABASE_3};
|
||||
"
|
||||
|
||||
explicit_uuid=$($CLICKHOUSE_CLIENT -q "SELECT generateUUIDv4()")
|
||||
$CLICKHOUSE_CLIENT -q "CREATE TABLE test_01114_2.mt UUID '$explicit_uuid' (n UInt64) ENGINE=MergeTree() ORDER BY tuple() PARTITION BY (n % 5)"
|
||||
$CLICKHOUSE_CLIENT --show_table_uuid_in_table_create_query_if_not_nil=1 -q "SHOW CREATE TABLE test_01114_2.mt" | sed "s/$explicit_uuid/00001114-0000-4000-8000-000000000002/g"
|
||||
$CLICKHOUSE_CLIENT -q "SELECT name, uuid, create_table_query FROM system.tables WHERE database='test_01114_2'" | sed "s/$explicit_uuid/00001114-0000-4000-8000-000000000002/g"
|
||||
$CLICKHOUSE_CLIENT -q "CREATE TABLE ${DATABASE_2}.mt UUID '$explicit_uuid' (n UInt64) ENGINE=MergeTree() ORDER BY tuple() PARTITION BY (n % 5)"
|
||||
$CLICKHOUSE_CLIENT --show_table_uuid_in_table_create_query_if_not_nil=1 -q "SHOW CREATE TABLE ${DATABASE_2}.mt" | sed "s/$explicit_uuid/00001114-0000-4000-8000-000000000002/g"
|
||||
$CLICKHOUSE_CLIENT -q "SELECT name, uuid, create_table_query FROM system.tables WHERE database='${DATABASE_2}'" | sed "s/$explicit_uuid/00001114-0000-4000-8000-000000000002/g"
|
||||
|
||||
RANDOM_COMMENT="$RANDOM"
|
||||
$CLICKHOUSE_CLIENT --max-threads 5 --function_sleep_max_microseconds_per_block 60000000 -q "SELECT count(col), sum(col) FROM (SELECT n + sleepEachRow(1.5) AS col FROM ${DATABASE_1}.mt) -- ${RANDOM_COMMENT}" & # 33s (1.5s * 22 rows per partition [Using 5 threads in parallel]), result: 110, 5995
|
||||
$CLICKHOUSE_CLIENT --max-threads 5 --function_sleep_max_microseconds_per_block 60000000 -q "INSERT INTO ${DATABASE_2}.mt SELECT number + sleepEachRow(1.5) FROM numbers(30) -- ${RANDOM_COMMENT}" & # 45s (1.5s * 30 rows)
|
||||
|
||||
$CLICKHOUSE_CLIENT --function_sleep_max_microseconds_per_block 60000000 -q "SELECT count(col), sum(col) FROM (SELECT n + sleepEachRow(1.5) AS col FROM test_01114_1.mt)" & # 33s (1.5s * 22 rows per partition), result: 110, 5995
|
||||
$CLICKHOUSE_CLIENT --function_sleep_max_microseconds_per_block 60000000 -q "INSERT INTO test_01114_2.mt SELECT number + sleepEachRow(1.5) FROM numbers(30)" & # 45s (1.5s * 30 rows)
|
||||
sleep 1 # SELECT and INSERT should start before the following RENAMEs
|
||||
it=0
|
||||
while [[ $($CLICKHOUSE_CLIENT -q "SELECT count() FROM system.processes WHERE query_id != queryID() AND current_database = currentDatabase() AND query LIKE '%-- ${RANDOM_COMMENT}%'") -ne 2 ]]; do
|
||||
it=$((it+1))
|
||||
if [ $it -ge 50 ];
|
||||
then
|
||||
echo "Failed to wait for first batch of queries"
|
||||
$CLICKHOUSE_CLIENT -q "SELECT count() FROM system.processes WHERE query_id != queryID() AND current_database = currentDatabase() AND query LIKE '%-- ${RANDOM_COMMENT}%'"
|
||||
fi
|
||||
sleep 0.1
|
||||
done
|
||||
|
||||
$CLICKHOUSE_CLIENT -nm -q "
|
||||
RENAME TABLE test_01114_1.mt TO test_01114_1.mt_tmp;
|
||||
RENAME TABLE test_01114_1.mt_tmp TO test_01114_2.mt_tmp;
|
||||
EXCHANGE TABLES test_01114_2.mt AND test_01114_2.mt_tmp;
|
||||
RENAME TABLE test_01114_2.mt_tmp TO test_01114_1.mt;
|
||||
EXCHANGE TABLES test_01114_1.mt AND test_01114_2.mt;
|
||||
RENAME TABLE ${DATABASE_1}.mt TO ${DATABASE_1}.mt_tmp;
|
||||
RENAME TABLE ${DATABASE_1}.mt_tmp TO ${DATABASE_2}.mt_tmp;
|
||||
EXCHANGE TABLES ${DATABASE_2}.mt AND ${DATABASE_2}.mt_tmp;
|
||||
RENAME TABLE ${DATABASE_2}.mt_tmp TO ${DATABASE_1}.mt;
|
||||
EXCHANGE TABLES ${DATABASE_1}.mt AND ${DATABASE_2}.mt;
|
||||
"
|
||||
|
||||
# Check that nothing changed
|
||||
$CLICKHOUSE_CLIENT -q "SELECT count() FROM test_01114_1.mt"
|
||||
uuid_mt1=$($CLICKHOUSE_CLIENT -q "SELECT uuid FROM system.tables WHERE database='test_01114_1' AND name='mt'")
|
||||
$CLICKHOUSE_CLIENT --show_table_uuid_in_table_create_query_if_not_nil=1 -q "SHOW CREATE TABLE test_01114_1.mt" | sed "s/$uuid_mt1/00001114-0000-4000-8000-000000000001/g"
|
||||
$CLICKHOUSE_CLIENT --show_table_uuid_in_table_create_query_if_not_nil=1 -q "SHOW CREATE TABLE test_01114_2.mt" | sed "s/$explicit_uuid/00001114-0000-4000-8000-000000000002/g"
|
||||
$CLICKHOUSE_CLIENT -q "SELECT count() FROM ${DATABASE_1}.mt"
|
||||
uuid_mt1=$($CLICKHOUSE_CLIENT -q "SELECT uuid FROM system.tables WHERE database='${DATABASE_1}' AND name='mt'")
|
||||
$CLICKHOUSE_CLIENT --show_table_uuid_in_table_create_query_if_not_nil=1 -q "SHOW CREATE TABLE ${DATABASE_1}.mt" | sed "s/$uuid_mt1/00001114-0000-4000-8000-000000000001/g"
|
||||
$CLICKHOUSE_CLIENT --show_table_uuid_in_table_create_query_if_not_nil=1 -q "SHOW CREATE TABLE ${DATABASE_2}.mt" | sed "s/$explicit_uuid/00001114-0000-4000-8000-000000000002/g"
|
||||
|
||||
$CLICKHOUSE_CLIENT -nm -q "
|
||||
DROP TABLE test_01114_1.mt SETTINGS database_atomic_wait_for_drop_and_detach_synchronously=0;
|
||||
CREATE TABLE test_01114_1.mt (s String) ENGINE=Log();
|
||||
INSERT INTO test_01114_1.mt SELECT 's' || toString(number) FROM numbers(5);
|
||||
SELECT count() FROM test_01114_1.mt
|
||||
DROP TABLE ${DATABASE_1}.mt SETTINGS database_atomic_wait_for_drop_and_detach_synchronously=0;
|
||||
CREATE TABLE ${DATABASE_1}.mt (s String) ENGINE=Log();
|
||||
INSERT INTO ${DATABASE_1}.mt SELECT 's' || toString(number) FROM numbers(5);
|
||||
SELECT count() FROM ${DATABASE_1}.mt
|
||||
" # result: 5
|
||||
|
||||
$CLICKHOUSE_CLIENT --function_sleep_max_microseconds_per_block 60000000 -q "SELECT tuple(s, sleepEachRow(3)) FROM test_01114_1.mt" > /dev/null & # 15s (3s * 5 rows)
|
||||
sleep 1
|
||||
$CLICKHOUSE_CLIENT -q "DROP DATABASE test_01114_1" --database_atomic_wait_for_drop_and_detach_synchronously=0 && echo "dropped"
|
||||
RANDOM_TUPLE="${RANDOM}_tuple"
|
||||
$CLICKHOUSE_CLIENT --max-threads 5 --function_sleep_max_microseconds_per_block 60000000 -q "SELECT tuple(s, sleepEachRow(3)) FROM ${DATABASE_1}.mt -- ${RANDOM_TUPLE}" > /dev/null & # 15s (3s * 5 rows)
|
||||
it=0
|
||||
while [[ $($CLICKHOUSE_CLIENT -q "SELECT count() FROM system.processes WHERE query_id != queryID() AND current_database = currentDatabase() AND query LIKE '%-- ${RANDOM_TUPLE}%'") -ne 1 ]]; do
|
||||
it=$((it+1))
|
||||
if [ $it -ge 50 ];
|
||||
then
|
||||
echo "Failed to wait for second batch of queries"
|
||||
$CLICKHOUSE_CLIENT -q "SELECT count() FROM system.processes WHERE query_id != queryID() AND current_database = currentDatabase() AND query LIKE '%-- ${RANDOM_TUPLE}%'"
|
||||
fi
|
||||
sleep 0.1
|
||||
done
|
||||
$CLICKHOUSE_CLIENT -q "DROP DATABASE ${DATABASE_1}" --database_atomic_wait_for_drop_and_detach_synchronously=0 && echo "dropped"
|
||||
|
||||
wait # for INSERT and SELECT
|
||||
|
||||
$CLICKHOUSE_CLIENT -q "SELECT count(n), sum(n) FROM test_01114_2.mt" # result: 30, 435
|
||||
$CLICKHOUSE_CLIENT -q "DROP DATABASE test_01114_2" --database_atomic_wait_for_drop_and_detach_synchronously=0
|
||||
$CLICKHOUSE_CLIENT -q "SELECT count(n), sum(n) FROM ${DATABASE_2}.mt" # result: 30, 435
|
||||
$CLICKHOUSE_CLIENT -q "DROP DATABASE ${DATABASE_2}" --database_atomic_wait_for_drop_and_detach_synchronously=0
|
||||
|
||||
@ -1,2 +1,2 @@
|
||||
EFBFBD
|
||||
EFBFBD
|
||||
FF
|
||||
FF
|
||||
|
||||
@ -4,6 +4,8 @@ Invocation with constant
|
||||
2020-11-01
|
||||
\N
|
||||
\N
|
||||
0000-01-01
|
||||
9999-12-31
|
||||
or null
|
||||
2020-11-01
|
||||
\N
|
||||
|
||||
@ -7,6 +7,8 @@ SELECT fromModifiedJulianDay(59154);
|
||||
SELECT fromModifiedJulianDay(NULL);
|
||||
SELECT fromModifiedJulianDay(CAST(NULL, 'Nullable(Int64)'));
|
||||
SELECT fromModifiedJulianDay(-678942); -- { serverError CANNOT_FORMAT_DATETIME }
|
||||
SELECT fromModifiedJulianDay(-678941);
|
||||
SELECT fromModifiedJulianDay(2973483);
|
||||
SELECT fromModifiedJulianDay(2973484); -- { serverError CANNOT_FORMAT_DATETIME }
|
||||
|
||||
SELECT 'or null';
|
||||
|
||||
@ -5,9 +5,9 @@ insert into utf8_overlap values ('\xe2'), ('Foo⚊BarBazBam'), ('\xe2'), ('Foo
|
||||
-- MONOGRAM FOR YANG
|
||||
with lowerUTF8(str) as l_, upperUTF8(str) as u_, '0x' || hex(str) as h_
|
||||
select length(str), if(l_ == '\xe2', h_, l_), if(u_ == '\xe2', h_, u_) from utf8_overlap format CSV;
|
||||
1,"<EFBFBD>","<22>"
|
||||
1,"0xE2","0xE2"
|
||||
15,"foo⚊barbazbam","FOO⚊BARBAZBAM"
|
||||
1,"<EFBFBD>","<22>"
|
||||
1,"0xE2","0xE2"
|
||||
15,"foo⚊barbazbam","FOO⚊BARBAZBAM"
|
||||
-- NOTE: regression test for introduced bug
|
||||
-- https://github.com/ClickHouse/ClickHouse/issues/42756
|
||||
|
||||
@ -11,13 +11,21 @@ $CLICKHOUSE_CLIENT -q "CREATE TABLE t_index_hypothesis (a UInt32, b UInt32, INDE
|
||||
|
||||
$CLICKHOUSE_CLIENT -q "INSERT INTO t_index_hypothesis SELECT number, number + 1 FROM numbers(10000000)"
|
||||
|
||||
for _ in {0..30}; do
|
||||
run_query() {
|
||||
output=`$CLICKHOUSE_CLIENT -q "SELECT count() FROM t_index_hypothesis WHERE a = b"`
|
||||
if [[ $output != "0" ]]; then
|
||||
echo "output: $output, expected: 0"
|
||||
exit 1
|
||||
fi
|
||||
done
|
||||
}
|
||||
|
||||
export -f run_query
|
||||
parallel -j 8 run_query ::: {0..30}
|
||||
|
||||
if [ $? -ne 0 ]; then
|
||||
echo FAILED
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo OK
|
||||
|
||||
|
||||
@ -11,3 +11,215 @@
|
||||
0 6 4
|
||||
1 10 4
|
||||
2 14 4
|
||||
-- { echo On }
|
||||
|
||||
SELECT count(), arrayMap(x -> '.', range(number % 10)) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
1 ['.']
|
||||
2 ['.','.']
|
||||
2 ['.','.','.']
|
||||
2 ['.','.','.','.']
|
||||
2 ['.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.','.']
|
||||
SELECT count(), arrayMap(x -> '.', range(number % 10)) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (k, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
1 ['.']
|
||||
1 ['.']
|
||||
2 ['.','.']
|
||||
2 ['.','.']
|
||||
2 ['.','.','.']
|
||||
2 ['.','.','.']
|
||||
2 ['.','.','.','.']
|
||||
2 ['.','.','.','.']
|
||||
2 ['.','.','.','.','.']
|
||||
2 ['.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.','.']
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
1 1
|
||||
2 2
|
||||
2 3
|
||||
2 4
|
||||
2 5
|
||||
2 6
|
||||
2 7
|
||||
2 8
|
||||
2 9
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (k, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
1 1
|
||||
1 1
|
||||
2 2
|
||||
2 2
|
||||
2 3
|
||||
2 3
|
||||
2 4
|
||||
2 4
|
||||
2 5
|
||||
2 5
|
||||
2 6
|
||||
2 6
|
||||
2 7
|
||||
2 7
|
||||
2 8
|
||||
2 8
|
||||
2 9
|
||||
2 9
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (number + 1, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
1 1
|
||||
1 1
|
||||
2 2
|
||||
2 2
|
||||
2 3
|
||||
2 3
|
||||
2 4
|
||||
2 4
|
||||
2 5
|
||||
2 5
|
||||
2 6
|
||||
2 6
|
||||
2 7
|
||||
2 7
|
||||
2 8
|
||||
2 8
|
||||
2 9
|
||||
2 9
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (number + 1, k), (k, number + 2)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
1 1
|
||||
1 1
|
||||
1 1
|
||||
2 2
|
||||
2 2
|
||||
2 2
|
||||
2 3
|
||||
2 3
|
||||
2 3
|
||||
2 4
|
||||
2 4
|
||||
2 4
|
||||
2 5
|
||||
2 5
|
||||
2 5
|
||||
2 6
|
||||
2 6
|
||||
2 6
|
||||
2 7
|
||||
2 7
|
||||
2 7
|
||||
2 8
|
||||
2 8
|
||||
2 8
|
||||
2 9
|
||||
2 9
|
||||
2 9
|
||||
SELECT count(), arrayMap(x -> '.', range(number % 10)) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
2 ['.']
|
||||
2 ['.','.']
|
||||
2 ['.','.','.']
|
||||
2 ['.','.','.','.']
|
||||
2 ['.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.','.']
|
||||
SELECT count(), arrayMap(x -> '.', range(number % 10)) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (k, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
2 ['.']
|
||||
2 ['.']
|
||||
2 ['.','.']
|
||||
2 ['.','.']
|
||||
2 ['.','.','.']
|
||||
2 ['.','.','.']
|
||||
2 ['.','.','.','.']
|
||||
2 ['.','.','.','.']
|
||||
2 ['.','.','.','.','.']
|
||||
2 ['.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.','.']
|
||||
2 ['.','.','.','.','.','.','.','.','.']
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
2 1
|
||||
2 2
|
||||
2 3
|
||||
2 4
|
||||
2 5
|
||||
2 6
|
||||
2 7
|
||||
2 8
|
||||
2 9
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (k, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
2 1
|
||||
2 1
|
||||
2 2
|
||||
2 2
|
||||
2 3
|
||||
2 3
|
||||
2 4
|
||||
2 4
|
||||
2 5
|
||||
2 5
|
||||
2 6
|
||||
2 6
|
||||
2 7
|
||||
2 7
|
||||
2 8
|
||||
2 8
|
||||
2 9
|
||||
2 9
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (number + 1, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
2 1
|
||||
2 1
|
||||
2 2
|
||||
2 2
|
||||
2 3
|
||||
2 3
|
||||
2 4
|
||||
2 4
|
||||
2 5
|
||||
2 5
|
||||
2 6
|
||||
2 6
|
||||
2 7
|
||||
2 7
|
||||
2 8
|
||||
2 8
|
||||
2 9
|
||||
2 9
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (number + 1, k), (k, number + 2)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
2 1
|
||||
2 1
|
||||
2 1
|
||||
2 2
|
||||
2 2
|
||||
2 2
|
||||
2 3
|
||||
2 3
|
||||
2 3
|
||||
2 4
|
||||
2 4
|
||||
2 4
|
||||
2 5
|
||||
2 5
|
||||
2 5
|
||||
2 6
|
||||
2 6
|
||||
2 6
|
||||
2 7
|
||||
2 7
|
||||
2 7
|
||||
2 8
|
||||
2 8
|
||||
2 8
|
||||
2 9
|
||||
2 9
|
||||
2 9
|
||||
|
||||
@ -43,3 +43,23 @@ GROUP BY
|
||||
ORDER BY
|
||||
sum_value ASC,
|
||||
count_value ASC;
|
||||
|
||||
set prefer_localhost_replica = 1;
|
||||
|
||||
-- { echo On }
|
||||
|
||||
SELECT count(), arrayMap(x -> '.', range(number % 10)) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
SELECT count(), arrayMap(x -> '.', range(number % 10)) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (k, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (k, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (number + 1, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{1,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (number + 1, k), (k, number + 2)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
|
||||
SELECT count(), arrayMap(x -> '.', range(number % 10)) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
SELECT count(), arrayMap(x -> '.', range(number % 10)) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (k, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (k, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (number + 1, k)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
SELECT count(), toString(number) AS k FROM remote('127.0.0.{3,2}', numbers(10)) where number > ( queryID() = initialQueryID()) GROUP BY GROUPING SETS ((k), (number + 1, k), (k, number + 2)) ORDER BY k settings group_by_two_level_threshold=9, max_bytes_before_external_group_by=10000000000;
|
||||
|
||||
@ -0,0 +1,4 @@
|
||||
200
|
||||
200
|
||||
100
|
||||
100
|
||||
@ -0,0 +1,23 @@
|
||||
DROP TABLE IF EXISTS t_merge_tree SYNC;
|
||||
DROP TABLE IF EXISTS t_replicated_merge_tree SYNC;
|
||||
|
||||
CREATE TABLE t_merge_tree(time Date, id String , name String) ENGINE = MergeTree() PARTITION BY time ORDER BY id;
|
||||
CREATE TABLE t_replicated_merge_tree(time Date, id String, name String) ENGINE = ReplicatedMergeTree('/test/02352/{database}/t_rep','1') PARTITION BY time ORDER BY id;
|
||||
|
||||
INSERT INTO t_merge_tree select '2024-08-01', '1', toString(number) FROM numbers(100);
|
||||
INSERT INTO t_merge_tree select '2024-08-02', '1', toString(number) FROM numbers(100);
|
||||
|
||||
INSERT INTO t_replicated_merge_tree select '2024-08-01', '1', toString(number) FROM numbers(100);
|
||||
INSERT INTO t_replicated_merge_tree select '2024-08-02', '1', toString(number) FROM numbers(100);
|
||||
|
||||
SELECT COUNT() FROM t_merge_tree;
|
||||
SELECT COUNT() FROM t_replicated_merge_tree;
|
||||
|
||||
DELETE FROM t_merge_tree IN PARTITION '2024-08-01' WHERE id = '1';
|
||||
DELETE FROM t_replicated_merge_tree IN PARTITION '2024-08-01' WHERE id = '1';
|
||||
|
||||
SELECT COUNT() FROM t_merge_tree;
|
||||
SELECT COUNT() FROM t_replicated_merge_tree;
|
||||
|
||||
DROP TABLE t_merge_tree SYNC;
|
||||
DROP TABLE t_replicated_merge_tree SYNC;
|
||||
@ -56,6 +56,24 @@ Expression (Projection)
|
||||
1 [2,3.2] 2.3323807824711897
|
||||
2 [4.2,3.4] 4.427188573446585
|
||||
0 [4.6,2.3] 4.609772130377966
|
||||
Expression (Projection)
|
||||
Limit (preliminary LIMIT (without OFFSET))
|
||||
Sorting (Sorting for ORDER BY)
|
||||
Expression (Before ORDER BY)
|
||||
ReadFromMergeTree (default.tab_f64)
|
||||
Indexes:
|
||||
PrimaryKey
|
||||
Condition: true
|
||||
Parts: 1/1
|
||||
Granules: 4/4
|
||||
Skip
|
||||
Name: idx
|
||||
Description: vector_similarity GRANULARITY 2
|
||||
Parts: 1/1
|
||||
Granules: 2/4
|
||||
1 [2,3.2] 2.3323807824711897
|
||||
2 [4.2,3.4] 4.427188573446585
|
||||
0 [4.6,2.3] 4.609772130377966
|
||||
Expression (Projection)
|
||||
Limit (preliminary LIMIT (without OFFSET))
|
||||
Sorting (Sorting for ORDER BY)
|
||||
@ -92,6 +110,24 @@ Expression (Projection)
|
||||
1 [2,3.2] 2.3323807824711897
|
||||
2 [4.2,3.4] 4.427188573446585
|
||||
0 [4.6,2.3] 4.609772130377966
|
||||
Expression (Projection)
|
||||
Limit (preliminary LIMIT (without OFFSET))
|
||||
Sorting (Sorting for ORDER BY)
|
||||
Expression (Before ORDER BY)
|
||||
ReadFromMergeTree (default.tab_bf16)
|
||||
Indexes:
|
||||
PrimaryKey
|
||||
Condition: true
|
||||
Parts: 1/1
|
||||
Granules: 4/4
|
||||
Skip
|
||||
Name: idx
|
||||
Description: vector_similarity GRANULARITY 2
|
||||
Parts: 1/1
|
||||
Granules: 2/4
|
||||
1 [2,3.2] 2.3323807824711897
|
||||
2 [4.2,3.4] 4.427188573446585
|
||||
0 [4.6,2.3] 4.609772130377966
|
||||
Expression (Projection)
|
||||
Limit (preliminary LIMIT (without OFFSET))
|
||||
Sorting (Sorting for ORDER BY)
|
||||
|
||||
@ -75,13 +75,30 @@ SETTINGS max_limit_for_ann_queries = 2; -- LIMIT 3 > 2 --> don't use the ann ind
|
||||
DROP TABLE tab;
|
||||
|
||||
SELECT '-- Non-default quantization';
|
||||
CREATE TABLE tab_f64(id Int32, vec Array(Float32), INDEX idx vec TYPE vector_similarity('hnsw', 'L2Distance', 'f64', 0, 0, 0) GRANULARITY 2) ENGINE = MergeTree ORDER BY id SETTINGS index_granularity = 3;
|
||||
CREATE TABLE tab_f32(id Int32, vec Array(Float32), INDEX idx vec TYPE vector_similarity('hnsw', 'L2Distance', 'f32', 0, 0, 0) GRANULARITY 2) ENGINE = MergeTree ORDER BY id SETTINGS index_granularity = 3;
|
||||
CREATE TABLE tab_f16(id Int32, vec Array(Float32), INDEX idx vec TYPE vector_similarity('hnsw', 'L2Distance', 'f16', 0, 0, 0) GRANULARITY 2) ENGINE = MergeTree ORDER BY id SETTINGS index_granularity = 3;
|
||||
CREATE TABLE tab_bf16(id Int32, vec Array(Float32), INDEX idx vec TYPE vector_similarity('hnsw', 'L2Distance', 'bf16', 0, 0, 0) GRANULARITY 2) ENGINE = MergeTree ORDER BY id SETTINGS index_granularity = 3;
|
||||
CREATE TABLE tab_i8(id Int32, vec Array(Float32), INDEX idx vec TYPE vector_similarity('hnsw', 'L2Distance', 'i8', 0, 0, 0) GRANULARITY 2) ENGINE = MergeTree ORDER BY id SETTINGS index_granularity = 3;
|
||||
INSERT INTO tab_f64 VALUES (0, [4.6, 2.3]), (1, [2.0, 3.2]), (2, [4.2, 3.4]), (3, [5.3, 2.9]), (4, [2.4, 5.2]), (5, [5.3, 2.3]), (6, [1.0, 9.3]), (7, [5.5, 4.7]), (8, [6.4, 3.5]), (9, [5.3, 2.5]), (10, [6.4, 3.4]), (11, [6.4, 3.2]);
|
||||
INSERT INTO tab_f32 VALUES (0, [4.6, 2.3]), (1, [2.0, 3.2]), (2, [4.2, 3.4]), (3, [5.3, 2.9]), (4, [2.4, 5.2]), (5, [5.3, 2.3]), (6, [1.0, 9.3]), (7, [5.5, 4.7]), (8, [6.4, 3.5]), (9, [5.3, 2.5]), (10, [6.4, 3.4]), (11, [6.4, 3.2]);
|
||||
INSERT INTO tab_f16 VALUES (0, [4.6, 2.3]), (1, [2.0, 3.2]), (2, [4.2, 3.4]), (3, [5.3, 2.9]), (4, [2.4, 5.2]), (5, [5.3, 2.3]), (6, [1.0, 9.3]), (7, [5.5, 4.7]), (8, [6.4, 3.5]), (9, [5.3, 2.5]), (10, [6.4, 3.4]), (11, [6.4, 3.2]);
|
||||
INSERT INTO tab_bf16 VALUES (0, [4.6, 2.3]), (1, [2.0, 3.2]), (2, [4.2, 3.4]), (3, [5.3, 2.9]), (4, [2.4, 5.2]), (5, [5.3, 2.3]), (6, [1.0, 9.3]), (7, [5.5, 4.7]), (8, [6.4, 3.5]), (9, [5.3, 2.5]), (10, [6.4, 3.4]), (11, [6.4, 3.2]);
|
||||
INSERT INTO tab_i8 VALUES (0, [4.6, 2.3]), (1, [2.0, 3.2]), (2, [4.2, 3.4]), (3, [5.3, 2.9]), (4, [2.4, 5.2]), (5, [5.3, 2.3]), (6, [1.0, 9.3]), (7, [5.5, 4.7]), (8, [6.4, 3.5]), (9, [5.3, 2.5]), (10, [6.4, 3.4]), (11, [6.4, 3.2]);
|
||||
|
||||
WITH [0.0, 2.0] AS reference_vec
|
||||
SELECT id, vec, L2Distance(vec, reference_vec)
|
||||
FROM tab_f64
|
||||
ORDER BY L2Distance(vec, reference_vec)
|
||||
LIMIT 3;
|
||||
|
||||
EXPLAIN indexes = 1
|
||||
WITH [0.0, 2.0] AS reference_vec
|
||||
SELECT id, vec, L2Distance(vec, reference_vec)
|
||||
FROM tab_f64
|
||||
ORDER BY L2Distance(vec, reference_vec)
|
||||
LIMIT 3;
|
||||
|
||||
WITH [0.0, 2.0] AS reference_vec
|
||||
SELECT id, vec, L2Distance(vec, reference_vec)
|
||||
FROM tab_f32
|
||||
@ -108,6 +125,19 @@ FROM tab_f16
|
||||
ORDER BY L2Distance(vec, reference_vec)
|
||||
LIMIT 3;
|
||||
|
||||
WITH [0.0, 2.0] AS reference_vec
|
||||
SELECT id, vec, L2Distance(vec, reference_vec)
|
||||
FROM tab_bf16
|
||||
ORDER BY L2Distance(vec, reference_vec)
|
||||
LIMIT 3;
|
||||
|
||||
EXPLAIN indexes = 1
|
||||
WITH [0.0, 2.0] AS reference_vec
|
||||
SELECT id, vec, L2Distance(vec, reference_vec)
|
||||
FROM tab_bf16
|
||||
ORDER BY L2Distance(vec, reference_vec)
|
||||
LIMIT 3;
|
||||
|
||||
WITH [0.0, 2.0] AS reference_vec
|
||||
SELECT id, vec, L2Distance(vec, reference_vec)
|
||||
FROM tab_i8
|
||||
@ -121,8 +151,10 @@ FROM tab_i8
|
||||
ORDER BY L2Distance(vec, reference_vec)
|
||||
LIMIT 3;
|
||||
|
||||
DROP TABLE tab_f64;
|
||||
DROP TABLE tab_f32;
|
||||
DROP TABLE tab_f16;
|
||||
DROP TABLE tab_bf16;
|
||||
DROP TABLE tab_i8;
|
||||
|
||||
SELECT '-- Index on Array(Float64) column';
|
||||
|
||||
@ -1,9 +1,11 @@
|
||||
-- Tags: long, no-parallel
|
||||
|
||||
DROP TABLE IF EXISTS t;
|
||||
|
||||
create table t (c1 Int64, c2 String, c3 DateTime, c4 Int8, c5 String, c6 String, c7 String, c8 String, c9 String, c10 String, c11 String, c12 String, c13 Int8, c14 Int64, c15 String, c16 String, c17 String, c18 Int64, c19 Int64, c20 Int64) engine ReplicatedMergeTree('/clickhouse/test/{database}/test_02477', '1') order by c18
|
||||
SETTINGS allow_remote_fs_zero_copy_replication=1, index_granularity=8092, index_granularity_bytes='10Mi';
|
||||
SETTINGS allow_remote_fs_zero_copy_replication=1, index_granularity=8192, index_granularity_bytes='10Mi';
|
||||
|
||||
insert into t (c1, c18) select number, -number from numbers(2000000);
|
||||
insert into t (c1, c18) select number, -number from numbers(500000);
|
||||
|
||||
alter table t add projection p_norm (select * order by c1);
|
||||
|
||||
|
||||
@ -48,9 +48,11 @@ def generate_data(q, total_number, use_token):
|
||||
partitions = ["2022-11-11 10:10:10", "2022-12-12 10:10:10"]
|
||||
last_number = 0
|
||||
while True:
|
||||
dup_simulate = random.randint(0, 3)
|
||||
# 0 to simulate duplication
|
||||
# 1 to simulate empty
|
||||
simulate_flag = random.randint(0, 4)
|
||||
# insert old data randomly. 25% of them are dup.
|
||||
if dup_simulate == 0:
|
||||
if simulate_flag == 0:
|
||||
last_idx = len(old_data) - 1
|
||||
if last_idx < 0:
|
||||
continue
|
||||
@ -58,6 +60,11 @@ def generate_data(q, total_number, use_token):
|
||||
if idx < 0:
|
||||
idx = 0
|
||||
q.put(old_data[idx])
|
||||
if simulate_flag == 1:
|
||||
empty_insert_stmt = (
|
||||
"insert into t_async_insert_dedup values format JSONEachRow"
|
||||
)
|
||||
q.put((empty_insert_stmt, ""))
|
||||
else:
|
||||
# insert new data.
|
||||
chunk_size = random.randint(1, max_chunk_size)
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
#!/usr/bin/env bash
|
||||
# Tags: long, zookeeper, no-parallel, no-fasttest
|
||||
# Tags: long, zookeeper, no-fasttest
|
||||
|
||||
CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
# shellcheck source=../shell_config.sh
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue
Block a user