mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-09-25 11:10:49 +00:00
Merge branch 'master' of github.com:ClickHouse/ClickHouse into pipe_reading
This commit is contained in:
BoloniniD
commit
fcbfa27f33
2
contrib/rocksdb
vendored
2
contrib/rocksdb
vendored
@ -1 +1 @@
|
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Subproject commit 07c77549a20b63ff6981b400085eba36bb5c80c4
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Subproject commit 6ff0adefdc84dac44e78804f7ca4122fe992cf8d
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@ -47,7 +47,7 @@ EXCHANGE TABLES new_table AND old_table;
|
||||
|
||||
### ReplicatedMergeTree in Atomic Database {#replicatedmergetree-in-atomic-database}
|
||||
|
||||
For [ReplicatedMergeTree](../table-engines/mergetree-family/replication.md#table_engines-replication) tables, it is recommended to not specify engine parameters - path in ZooKeeper and replica name. In this case, configuration parameters will be used [default_replica_path](../../operations/server-configuration-parameters/settings.md#default_replica_path) and [default_replica_name](../../operations/server-configuration-parameters/settings.md#default_replica_name). If you want to specify engine parameters explicitly, it is recommended to use {uuid} macros. This is useful so that unique paths are automatically generated for each table in ZooKeeper.
|
||||
For [ReplicatedMergeTree](../table-engines/mergetree-family/replication.md#table_engines-replication) tables, it is recommended to not specify engine parameters - path in ZooKeeper and replica name. In this case, configuration parameters will be used [default_replica_path](../../operations/server-configuration-parameters/settings.md#default_replica_path) and [default_replica_name](../../operations/server-configuration-parameters/settings.md#default_replica_name). If you want to specify engine parameters explicitly, it is recommended to use `{uuid}` macros. This is useful so that unique paths are automatically generated for each table in ZooKeeper.
|
||||
|
||||
## See Also
|
||||
|
||||
|
||||
@ -22,4 +22,4 @@ You can also use the following database engines:
|
||||
|
||||
- [PostgreSQL](../../engines/database-engines/postgresql.md)
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/database_engines/) <!--hide-->
|
||||
- [Replicated](../../engines/database-engines/replicated.md)
|
||||
|
||||
115
docs/en/engines/database-engines/replicated.md
Normal file
115
docs/en/engines/database-engines/replicated.md
Normal file
@ -0,0 +1,115 @@
|
||||
# [experimental] Replicated {#replicated}
|
||||
|
||||
The engine is based on the [Atomic](../../engines/database-engines/atomic.md) engine. It supports replication of metadata via DDL log being written to ZooKeeper and executed on all of the replicas for a given database.
|
||||
|
||||
One ClickHouse server can have multiple replicated databases running and updating at the same time. But there can't be multiple replicas of the same replicated database.
|
||||
|
||||
## Creating a Database {#creating-a-database}
|
||||
``` sql
|
||||
CREATE DATABASE testdb ENGINE = Replicated('zoo_path', 'shard_name', 'replica_name') [SETTINGS ...]
|
||||
```
|
||||
|
||||
**Engine Parameters**
|
||||
|
||||
- `zoo_path` — ZooKeeper path. The same ZooKeeper path corresponds to the same database.
|
||||
- `shard_name` — Shard name. Database replicas are grouped into shards by `shard_name`.
|
||||
- `replica_name` — Replica name. Replica names must be different for all replicas of the same shard.
|
||||
|
||||
!!! note "Warning"
|
||||
For [ReplicatedMergeTree](../table-engines/mergetree-family/replication.md#table_engines-replication) tables if no arguments provided, then default arguments are used: `/clickhouse/tables/{uuid}/{shard}` and `{replica}`. These can be changed in the server settings [default_replica_path](../../operations/server-configuration-parameters/settings.md#default_replica_path) and [default_replica_name](../../operations/server-configuration-parameters/settings.md#default_replica_name). Macro `{uuid}` is unfolded to table's uuid, `{shard}` and `{replica}` are unfolded to values from server config, not from database engine arguments. But in the future, it will be possible to use `shard_name` and `replica_name` of Replicated database.
|
||||
|
||||
## Specifics and Recommendations {#specifics-and-recommendations}
|
||||
|
||||
DDL queries with `Replicated` database work in a similar way to [ON CLUSTER](../../sql-reference/distributed-ddl.md) queries, but with minor differences.
|
||||
|
||||
First, the DDL request tries to execute on the initiator (the host that originally received the request from the user). If the request is not fulfilled, then the user immediately receives an error, other hosts do not try to fulfill it. If the request has been successfully completed on the initiator, then all other hosts will automatically retry until they complete it. The initiator will try to wait for the query to be completed on other hosts (no longer than [distributed_ddl_task_timeout](../../operations/settings/settings.md#distributed_ddl_task_timeout)) and will return a table with the query execution statuses on each host.
|
||||
|
||||
The behavior in case of errors is regulated by the [distributed_ddl_output_mode](../../operations/settings/settings.md#distributed_ddl_output_mode) setting, for a `Replicated` database it is better to set it to `null_status_on_timeout` — i.e. if some hosts did not have time to execute the request for [distributed_ddl_task_timeout](../../operations/settings/settings.md#distributed_ddl_task_timeout), then do not throw an exception, but show the `NULL` status for them in the table.
|
||||
|
||||
The [system.clusters](../../operations/system-tables/clusters.md) system table contains a cluster named like the replicated database, which consists of all replicas of the database. This cluster is updated automatically when creating/deleting replicas, and it can be used for [Distributed](../../engines/table-engines/special/distributed.md#distributed) tables.
|
||||
|
||||
When creating a new replica of the database, this replica creates tables by itself. If the replica has been unavailable for a long time and has lagged behind the replication log — it checks its local metadata with the current metadata in ZooKeeper, moves the extra tables with data to a separate non-replicated database (so as not to accidentally delete anything superfluous), creates the missing tables, updates the table names if they have been renamed. The data is replicated at the `ReplicatedMergeTree` level, i.e. if the table is not replicated, the data will not be replicated (the database is responsible only for metadata).
|
||||
|
||||
## Usage Example {#usage-example}
|
||||
|
||||
Creating a cluster with three hosts:
|
||||
|
||||
``` sql
|
||||
node1 :) CREATE DATABASE r ENGINE=Replicated('some/path/r','shard1','replica1');
|
||||
node2 :) CREATE DATABASE r ENGINE=Replicated('some/path/r','shard1','other_replica');
|
||||
node3 :) CREATE DATABASE r ENGINE=Replicated('some/path/r','other_shard','{replica}');
|
||||
```
|
||||
|
||||
Running the DDL-query:
|
||||
|
||||
``` sql
|
||||
CREATE TABLE r.rmt (n UInt64) ENGINE=ReplicatedMergeTree ORDER BY n;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─────hosts────────────┬──status─┬─error─┬─num_hosts_remaining─┬─num_hosts_active─┐
|
||||
│ shard1|replica1 │ 0 │ │ 2 │ 0 │
|
||||
│ shard1|other_replica │ 0 │ │ 1 │ 0 │
|
||||
│ other_shard|r1 │ 0 │ │ 0 │ 0 │
|
||||
└──────────────────────┴─────────┴───────┴─────────────────────┴──────────────────┘
|
||||
```
|
||||
|
||||
Showing the system table:
|
||||
|
||||
``` sql
|
||||
SELECT cluster, shard_num, replica_num, host_name, host_address, port, is_local
|
||||
FROM system.clusters WHERE cluster='r';
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─cluster─┬─shard_num─┬─replica_num─┬─host_name─┬─host_address─┬─port─┬─is_local─┐
|
||||
│ r │ 1 │ 1 │ node3 │ 127.0.0.1 │ 9002 │ 0 │
|
||||
│ r │ 2 │ 1 │ node2 │ 127.0.0.1 │ 9001 │ 0 │
|
||||
│ r │ 2 │ 2 │ node1 │ 127.0.0.1 │ 9000 │ 1 │
|
||||
└─────────┴───────────┴─────────────┴───────────┴──────────────┴──────┴──────────┘
|
||||
```
|
||||
|
||||
Creating a distributed table and inserting the data:
|
||||
|
||||
``` sql
|
||||
node2 :) CREATE TABLE r.d (n UInt64) ENGINE=Distributed('r','r','rmt', n % 2);
|
||||
node3 :) INSERT INTO r SELECT * FROM numbers(10);
|
||||
node1 :) SELECT materialize(hostName()) AS host, groupArray(n) FROM r.d GROUP BY host;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─hosts─┬─groupArray(n)─┐
|
||||
│ node1 │ [1,3,5,7,9] │
|
||||
│ node2 │ [0,2,4,6,8] │
|
||||
└───────┴───────────────┘
|
||||
```
|
||||
|
||||
Adding replica on the one more host:
|
||||
|
||||
``` sql
|
||||
node4 :) CREATE DATABASE r ENGINE=Replicated('some/path/r','other_shard','r2');
|
||||
```
|
||||
|
||||
The cluster configuration will look like this:
|
||||
|
||||
``` text
|
||||
┌─cluster─┬─shard_num─┬─replica_num─┬─host_name─┬─host_address─┬─port─┬─is_local─┐
|
||||
│ r │ 1 │ 1 │ node3 │ 127.0.0.1 │ 9002 │ 0 │
|
||||
│ r │ 1 │ 2 │ node4 │ 127.0.0.1 │ 9003 │ 0 │
|
||||
│ r │ 2 │ 1 │ node2 │ 127.0.0.1 │ 9001 │ 0 │
|
||||
│ r │ 2 │ 2 │ node1 │ 127.0.0.1 │ 9000 │ 1 │
|
||||
└─────────┴───────────┴─────────────┴───────────┴──────────────┴──────┴──────────┘
|
||||
```
|
||||
|
||||
The distributed table also will get data from the new host:
|
||||
|
||||
```sql
|
||||
node2 :) SELECT materialize(hostName()) AS host, groupArray(n) FROM r.d GROUP BY host;
|
||||
```
|
||||
|
||||
```text
|
||||
┌─hosts─┬─groupArray(n)─┐
|
||||
│ node2 │ [1,3,5,7,9] │
|
||||
│ node4 │ [0,2,4,6,8] │
|
||||
└───────┴───────────────┘
|
||||
```
|
||||
@ -76,7 +76,7 @@ For a description of parameters, see the [CREATE query description](../../../sql
|
||||
|
||||
- `SAMPLE BY` — An expression for sampling. Optional.
|
||||
|
||||
If a sampling expression is used, the primary key must contain it. Example: `SAMPLE BY intHash32(UserID) ORDER BY (CounterID, EventDate, intHash32(UserID))`.
|
||||
If a sampling expression is used, the primary key must contain it. The result of sampling expression must be unsigned integer. Example: `SAMPLE BY intHash32(UserID) ORDER BY (CounterID, EventDate, intHash32(UserID))`.
|
||||
|
||||
- `TTL` — A list of rules specifying storage duration of rows and defining logic of automatic parts movement [between disks and volumes](#table_engine-mergetree-multiple-volumes). Optional.
|
||||
|
||||
|
||||
@ -1130,17 +1130,18 @@ The table below shows supported data types and how they match ClickHouse [data t
|
||||
| `boolean`, `int`, `long`, `float`, `double` | [Int64](../sql-reference/data-types/int-uint.md), [UInt64](../sql-reference/data-types/int-uint.md) | `long` |
|
||||
| `boolean`, `int`, `long`, `float`, `double` | [Float32](../sql-reference/data-types/float.md) | `float` |
|
||||
| `boolean`, `int`, `long`, `float`, `double` | [Float64](../sql-reference/data-types/float.md) | `double` |
|
||||
| `bytes`, `string`, `fixed`, `enum` | [String](../sql-reference/data-types/string.md) | `bytes` |
|
||||
| `bytes`, `string`, `fixed`, `enum` | [String](../sql-reference/data-types/string.md) | `bytes` or `string` \* |
|
||||
| `bytes`, `string`, `fixed` | [FixedString(N)](../sql-reference/data-types/fixedstring.md) | `fixed(N)` |
|
||||
| `enum` | [Enum(8\|16)](../sql-reference/data-types/enum.md) | `enum` |
|
||||
| `array(T)` | [Array(T)](../sql-reference/data-types/array.md) | `array(T)` |
|
||||
| `union(null, T)`, `union(T, null)` | [Nullable(T)](../sql-reference/data-types/date.md) | `union(null, T)` |
|
||||
| `null` | [Nullable(Nothing)](../sql-reference/data-types/special-data-types/nothing.md) | `null` |
|
||||
| `int (date)` \* | [Date](../sql-reference/data-types/date.md) | `int (date)` \* |
|
||||
| `long (timestamp-millis)` \* | [DateTime64(3)](../sql-reference/data-types/datetime.md) | `long (timestamp-millis)` \* |
|
||||
| `long (timestamp-micros)` \* | [DateTime64(6)](../sql-reference/data-types/datetime.md) | `long (timestamp-micros)` \* |
|
||||
| `int (date)` \** | [Date](../sql-reference/data-types/date.md) | `int (date)` \** |
|
||||
| `long (timestamp-millis)` \** | [DateTime64(3)](../sql-reference/data-types/datetime.md) | `long (timestamp-millis)` \* |
|
||||
| `long (timestamp-micros)` \** | [DateTime64(6)](../sql-reference/data-types/datetime.md) | `long (timestamp-micros)` \* |
|
||||
|
||||
\* [Avro logical types](https://avro.apache.org/docs/current/spec.html#Logical+Types)
|
||||
\* `bytes` is default, controlled by [output_format_avro_string_column_pattern](../operations/settings/settings.md#settings-output_format_avro_string_column_pattern)
|
||||
\** [Avro logical types](https://avro.apache.org/docs/current/spec.html#Logical+Types)
|
||||
|
||||
Unsupported Avro data types: `record` (non-root), `map`
|
||||
|
||||
|
||||
@ -10,7 +10,7 @@ ClickHouse server use [ZooKeeper](https://zookeeper.apache.org/) coordination sy
|
||||
!!! warning "Warning"
|
||||
This feature currently in pre-production stage. We test it in our CI and on small internal installations.
|
||||
|
||||
## Implemetation details
|
||||
## Implementation details
|
||||
|
||||
ZooKeeper is one of the first well-known open-source coordination systems. It's implemented in Java, has quite a simple and powerful data model. ZooKeeper's coordination algorithm called ZAB (ZooKeeper Atomic Broadcast) doesn't provide linearizability guarantees for reads, because each ZooKeeper node serves reads locally. Unlike ZooKeeper `clickhouse-keeper` written in C++ and use [RAFT algorithm](https://raft.github.io/) [implementation](https://github.com/eBay/NuRaft). This algorithm allows to have linearizability for reads and writes, has several open-source implementations in different languages.
|
||||
|
||||
|
||||
@ -278,4 +278,16 @@ Possible values:
|
||||
|
||||
Default value: `0`.
|
||||
|
||||
## check_sample_column_is_correct {#check_sample_column_is_correct}
|
||||
|
||||
Enables to check column for sampling or sampling expression is correct at table creation.
|
||||
|
||||
Possible values:
|
||||
|
||||
- true — Check column or sampling expression is correct at table creation.
|
||||
- false — Do not check column or sampling expression is correct at table creation.
|
||||
|
||||
Default value: `true`.
|
||||
|
||||
By default, the ClickHouse server check column for sampling or sampling expression at table creation. If you already had tables with incorrect sampling expression, set value `false` to make ClickHouse server do not raise exception when ClickHouse server is starting.
|
||||
[Original article](https://clickhouse.tech/docs/en/operations/settings/merge_tree_settings/) <!--hide-->
|
||||
|
||||
@ -1969,6 +1969,13 @@ Possible values: 32 (32 bytes) - 1073741824 (1 GiB)
|
||||
|
||||
Default value: 32768 (32 KiB)
|
||||
|
||||
## output_format_avro_string_column_pattern {#output_format_avro_string_column_pattern}
|
||||
|
||||
Regexp of column names of type String to output as Avro `string` (default is `bytes`).
|
||||
RE2 syntax is supported.
|
||||
|
||||
Type: string
|
||||
|
||||
## format_avro_schema_registry_url {#format_avro_schema_registry_url}
|
||||
|
||||
Sets [Confluent Schema Registry](https://docs.confluent.io/current/schema-registry/index.html) URL to use with [AvroConfluent](../../interfaces/formats.md#data-format-avro-confluent) format.
|
||||
@ -3141,6 +3148,53 @@ SELECT
|
||||
FROM fuse_tbl
|
||||
```
|
||||
|
||||
## allow_experimental_database_replicated {#allow_experimental_database_replicated}
|
||||
|
||||
Enables to create databases with [Replicated](../../engines/database-engines/replicated.md) engine.
|
||||
|
||||
Possible values:
|
||||
|
||||
- 0 — Disabled.
|
||||
- 1 — Enabled.
|
||||
|
||||
Default value: `0`.
|
||||
|
||||
## database_replicated_initial_query_timeout_sec {#database_replicated_initial_query_timeout_sec}
|
||||
|
||||
Sets how long initial DDL query should wait for Replicated database to precess previous DDL queue entries in seconds.
|
||||
|
||||
Possible values:
|
||||
|
||||
- Positive integer.
|
||||
- 0 — Unlimited.
|
||||
|
||||
Default value: `300`.
|
||||
|
||||
## distributed_ddl_task_timeout {#distributed_ddl_task_timeout}
|
||||
|
||||
Sets timeout for DDL query responses from all hosts in cluster. If a DDL request has not been performed on all hosts, a response will contain a timeout error and a request will be executed in an async mode. Negative value means infinite.
|
||||
|
||||
Possible values:
|
||||
|
||||
- Positive integer.
|
||||
- 0 — Async mode.
|
||||
- Negative integer — infinite timeout.
|
||||
|
||||
Default value: `180`.
|
||||
|
||||
## distributed_ddl_output_mode {#distributed_ddl_output_mode}
|
||||
|
||||
Sets format of distributed DDL query result.
|
||||
|
||||
Possible values:
|
||||
|
||||
- `throw` — Returns result set with query execution status for all hosts where query is finished. If query has failed on some hosts, then it will rethrow the first exception. If query is not finished yet on some hosts and [distributed_ddl_task_timeout](#distributed_ddl_task_timeout) exceeded, then it throws `TIMEOUT_EXCEEDED` exception.
|
||||
- `none` — Is similar to throw, but distributed DDL query returns no result set.
|
||||
- `null_status_on_timeout` — Returns `NULL` as execution status in some rows of result set instead of throwing `TIMEOUT_EXCEEDED` if query is not finished on the corresponding hosts.
|
||||
- `never_throw` — Do not throw `TIMEOUT_EXCEEDED` and do not rethrow exceptions if query has failed on some hosts.
|
||||
|
||||
Default value: `throw`.
|
||||
|
||||
## flatten_nested {#flatten-nested}
|
||||
|
||||
Sets the data format of a [nested](../../sql-reference/data-types/nested-data-structures/nested.md) columns.
|
||||
|
||||
@ -465,27 +465,29 @@ Result:
|
||||
|
||||
## CAST(x, T) {#type_conversion_function-cast}
|
||||
|
||||
Converts input value `x` to the `T` data type. Unlike to `reinterpret` function, type conversion is performed in a natural way.
|
||||
|
||||
The syntax `CAST(x AS t)` is also supported.
|
||||
|
||||
!!! note "Note"
|
||||
If value `x` does not fit the bounds of type `T`, the function overflows. For example, `CAST(-1, 'UInt8')` returns `255`.
|
||||
Converts an input value to the specified data type. Unlike the [reinterpret](#type_conversion_function-reinterpret) function, `CAST` tries to present the same value using the new data type. If the conversion can not be done then an exception is raised.
|
||||
Several syntax variants are supported.
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
CAST(x, T)
|
||||
CAST(x AS t)
|
||||
x::t
|
||||
```
|
||||
|
||||
**Arguments**
|
||||
|
||||
- `x` — Any type.
|
||||
- `T` — Destination type. [String](../../sql-reference/data-types/string.md).
|
||||
- `x` — A value to convert. May be of any type.
|
||||
- `T` — The name of the target data type. [String](../../sql-reference/data-types/string.md).
|
||||
- `t` — The target data type.
|
||||
|
||||
**Returned value**
|
||||
|
||||
- Destination type value.
|
||||
- Converted value.
|
||||
|
||||
!!! note "Note"
|
||||
If the input value does not fit the bounds of the target type, the result overflows. For example, `CAST(-1, 'UInt8')` returns `255`.
|
||||
|
||||
**Examples**
|
||||
|
||||
@ -494,16 +496,16 @@ Query:
|
||||
```sql
|
||||
SELECT
|
||||
CAST(toInt8(-1), 'UInt8') AS cast_int_to_uint,
|
||||
CAST(toInt8(1), 'Float32') AS cast_int_to_float,
|
||||
CAST('1', 'UInt32') AS cast_string_to_int;
|
||||
CAST(1.5 AS Decimal(3,2)) AS cast_float_to_decimal,
|
||||
'1'::Int32 AS cast_string_to_int;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
```
|
||||
┌─cast_int_to_uint─┬─cast_int_to_float─┬─cast_string_to_int─┐
|
||||
│ 255 │ 1 │ 1 │
|
||||
└──────────────────┴───────────────────┴────────────────────┘
|
||||
┌─cast_int_to_uint─┬─cast_float_to_decimal─┬─cast_string_to_int─┐
|
||||
│ 255 │ 1.50 │ 1 │
|
||||
└──────────────────┴───────────────────────┴────────────────────┘
|
||||
```
|
||||
|
||||
Query:
|
||||
|
||||
@ -20,3 +20,5 @@ toc_title: "Введение"
|
||||
|
||||
- [PostgreSQL](../../engines/database-engines/postgresql.md)
|
||||
|
||||
- [Replicated](../../engines/database-engines/replicated.md)
|
||||
|
||||
|
||||
119
docs/ru/engines/database-engines/replicated.md
Normal file
119
docs/ru/engines/database-engines/replicated.md
Normal file
@ -0,0 +1,119 @@
|
||||
|
||||
# [экспериментальный] Replicated {#replicated}
|
||||
|
||||
Движок основан на движке [Atomic](../../engines/database-engines/atomic.md). Он поддерживает репликацию метаданных через журнал DDL, записываемый в ZooKeeper и выполняемый на всех репликах для данной базы данных.
|
||||
|
||||
На одном сервере ClickHouse может одновременно работать и обновляться несколько реплицированных баз данных. Но не может существовать нескольких реплик одной и той же реплицированной базы данных.
|
||||
|
||||
## Создание базы данных {#creating-a-database}
|
||||
``` sql
|
||||
CREATE DATABASE testdb ENGINE = Replicated('zoo_path', 'shard_name', 'replica_name') [SETTINGS ...]
|
||||
```
|
||||
|
||||
**Параметры движка**
|
||||
|
||||
- `zoo_path` — путь в ZooKeeper. Один и тот же путь ZooKeeper соответствует одной и той же базе данных.
|
||||
- `shard_name` — Имя шарда. Реплики базы данных группируются в шарды по имени.
|
||||
- `replica_name` — Имя реплики. Имена реплик должны быть разными для всех реплик одного и того же шарда.
|
||||
|
||||
!!! note "Предупреждение"
|
||||
Для таблиц [ReplicatedMergeTree](../table-engines/mergetree-family/replication.md#table_engines-replication) если аргументы не заданы, то используются аргументы по умолчанию: `/clickhouse/tables/{uuid}/{shard}` и `{replica}`. Они могут быть изменены в серверных настройках: [default_replica_path](../../operations/server-configuration-parameters/settings.md#default_replica_path) и [default_replica_name](../../operations/server-configuration-parameters/settings.md#default_replica_name). Макрос `{uuid}` раскрывается в `UUID` таблицы, `{shard}` и `{replica}` — в значения из конфига сервера. В будущем появится возможность использовать значения `shard_name` и `replica_name` аргументов движка базы данных `Replicated`.
|
||||
|
||||
## Особенности и рекомендации {#specifics-and-recommendations}
|
||||
|
||||
DDL-запросы с базой данных `Replicated` работают похожим образом на [ON CLUSTER](../../sql-reference/distributed-ddl.md) запросы, но с небольшими отличиями.
|
||||
|
||||
Сначала DDL-запрос пытается выполниться на инициаторе (том хосте, который изначально получил запрос от пользователя). Если запрос не выполнился, то пользователь сразу получает ошибку, другие хосты не пытаются его выполнить. Если запрос успешно выполнился на инициаторе, то все остальные хосты будут автоматически делать попытки выполнить его.
|
||||
Инициатор попытается дождаться выполнения запроса на других хостах (не дольше [distributed_ddl_task_timeout](../../operations/settings/settings.md#distributed_ddl_task_timeout)) и вернёт таблицу со статусами выполнения запроса на каждом хосте.
|
||||
|
||||
Поведение в случае ошибок регулируется настройкой [distributed_ddl_output_mode](../../operations/settings/settings.md#distributed_ddl_output_mode), для `Replicated` лучше выставлять её в `null_status_on_timeout` — т.е. если какие-то хосты не успели выполнить запрос за [distributed_ddl_task_timeout](../../operations/settings/settings.md#distributed_ddl_task_timeout), то вместо исключения для них будет показан статус `NULL` в таблице.
|
||||
|
||||
В системной таблице [system.clusters](../../operations/system-tables/clusters.md) есть кластер с именем, как у реплицируемой базы, который состоит из всех реплик базы. Этот кластер обновляется автоматически при создании/удалении реплик, и его можно использовать для [Distributed](../../engines/table-engines/special/distributed.md#distributed) таблиц.
|
||||
|
||||
При создании новой реплики базы, эта реплика сама создаёт таблицы. Если реплика долго была недоступна и отстала от лога репликации — она сверяет свои локальные метаданные с актуальными метаданными в ZooKeeper, перекладывает лишние таблицы с данными в отдельную нереплицируемую базу (чтобы случайно не удалить что-нибудь лишнее), создаёт недостающие таблицы, обновляет имена таблиц, если были переименования. Данные реплицируются на уровне `ReplicatedMergeTree`, т.е. если таблица не реплицируемая, то данные реплицироваться не будут (база отвечает только за метаданные).
|
||||
|
||||
## Примеры использования {#usage-example}
|
||||
|
||||
Создадим реплицируемую базу на трех хостах:
|
||||
|
||||
``` sql
|
||||
node1 :) CREATE DATABASE r ENGINE=Replicated('some/path/r','shard1','replica1');
|
||||
node2 :) CREATE DATABASE r ENGINE=Replicated('some/path/r','shard1','other_replica');
|
||||
node3 :) CREATE DATABASE r ENGINE=Replicated('some/path/r','other_shard','{replica}');
|
||||
```
|
||||
|
||||
Выполним DDL-запрос на одном из хостов:
|
||||
|
||||
``` sql
|
||||
CREATE TABLE r.rmt (n UInt64) ENGINE=ReplicatedMergeTree ORDER BY n;
|
||||
```
|
||||
|
||||
Запрос выполнится на всех остальных хостах:
|
||||
|
||||
``` text
|
||||
┌─────hosts────────────┬──status─┬─error─┬─num_hosts_remaining─┬─num_hosts_active─┐
|
||||
│ shard1|replica1 │ 0 │ │ 2 │ 0 │
|
||||
│ shard1|other_replica │ 0 │ │ 1 │ 0 │
|
||||
│ other_shard|r1 │ 0 │ │ 0 │ 0 │
|
||||
└──────────────────────┴─────────┴───────┴─────────────────────┴──────────────────┘
|
||||
```
|
||||
|
||||
Кластер в системной таблице `system.clusters`:
|
||||
|
||||
``` sql
|
||||
SELECT cluster, shard_num, replica_num, host_name, host_address, port, is_local
|
||||
FROM system.clusters WHERE cluster='r';
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─cluster─┬─shard_num─┬─replica_num─┬─host_name─┬─host_address─┬─port─┬─is_local─┐
|
||||
│ r │ 1 │ 1 │ node3 │ 127.0.0.1 │ 9002 │ 0 │
|
||||
│ r │ 2 │ 1 │ node2 │ 127.0.0.1 │ 9001 │ 0 │
|
||||
│ r │ 2 │ 2 │ node1 │ 127.0.0.1 │ 9000 │ 1 │
|
||||
└─────────┴───────────┴─────────────┴───────────┴──────────────┴──────┴──────────┘
|
||||
```
|
||||
|
||||
Создадим распределенную таблицу и вставим в нее данные:
|
||||
|
||||
``` sql
|
||||
node2 :) CREATE TABLE r.d (n UInt64) ENGINE=Distributed('r','r','rmt', n % 2);
|
||||
node3 :) INSERT INTO r SELECT * FROM numbers(10);
|
||||
node1 :) SELECT materialize(hostName()) AS host, groupArray(n) FROM r.d GROUP BY host;
|
||||
```
|
||||
|
||||
``` text
|
||||
┌─hosts─┬─groupArray(n)─┐
|
||||
│ node1 │ [1,3,5,7,9] │
|
||||
│ node2 │ [0,2,4,6,8] │
|
||||
└───────┴───────────────┘
|
||||
```
|
||||
|
||||
Добавление реплики:
|
||||
|
||||
``` sql
|
||||
node4 :) CREATE DATABASE r ENGINE=Replicated('some/path/r','other_shard','r2');
|
||||
```
|
||||
|
||||
Новая реплика автоматически создаст все таблицы, которые есть в базе, а старые реплики перезагрузят из ZooKeeper-а конфигурацию кластера:
|
||||
|
||||
``` text
|
||||
┌─cluster─┬─shard_num─┬─replica_num─┬─host_name─┬─host_address─┬─port─┬─is_local─┐
|
||||
│ r │ 1 │ 1 │ node3 │ 127.0.0.1 │ 9002 │ 0 │
|
||||
│ r │ 1 │ 2 │ node4 │ 127.0.0.1 │ 9003 │ 0 │
|
||||
│ r │ 2 │ 1 │ node2 │ 127.0.0.1 │ 9001 │ 0 │
|
||||
│ r │ 2 │ 2 │ node1 │ 127.0.0.1 │ 9000 │ 1 │
|
||||
└─────────┴───────────┴─────────────┴───────────┴──────────────┴──────┴──────────┘
|
||||
```
|
||||
|
||||
Распределенная таблица также получит данные от нового хоста:
|
||||
|
||||
```sql
|
||||
node2 :) SELECT materialize(hostName()) AS host, groupArray(n) FROM r.d GROUP BY host;
|
||||
```
|
||||
|
||||
```text
|
||||
┌─hosts─┬─groupArray(n)─┐
|
||||
│ node2 │ [1,3,5,7,9] │
|
||||
│ node4 │ [0,2,4,6,8] │
|
||||
└───────┴───────────────┘
|
||||
```
|
||||
@ -2986,6 +2986,53 @@ SELECT
|
||||
FROM fuse_tbl
|
||||
```
|
||||
|
||||
## allow_experimental_database_replicated {#allow_experimental_database_replicated}
|
||||
|
||||
Позволяет создавать базы данных с движком [Replicated](../../engines/database-engines/replicated.md).
|
||||
|
||||
Возможные значения:
|
||||
|
||||
- 0 — Disabled.
|
||||
- 1 — Enabled.
|
||||
|
||||
Значение по умолчанию: `0`.
|
||||
|
||||
## database_replicated_initial_query_timeout_sec {#database_replicated_initial_query_timeout_sec}
|
||||
|
||||
Устанавливает, как долго начальный DDL-запрос должен ждать, пока реплицированная база данных прецессирует предыдущие записи очереди DDL в секундах.
|
||||
|
||||
Возможные значения:
|
||||
|
||||
- Положительное целое число.
|
||||
- 0 — Не ограничено.
|
||||
|
||||
Значение по умолчанию: `300`.
|
||||
|
||||
## distributed_ddl_task_timeout {#distributed_ddl_task_timeout}
|
||||
|
||||
Устанавливает тайм-аут для ответов на DDL-запросы от всех хостов в кластере. Если DDL-запрос не был выполнен на всех хостах, ответ будет содержать ошибку тайм-аута, и запрос будет выполнен в асинхронном режиме.
|
||||
|
||||
Возможные значения:
|
||||
|
||||
- Положительное целое число.
|
||||
- 0 — Асинхронный режим.
|
||||
- Отрицательное число — бесконечный тайм-аут.
|
||||
|
||||
Значение по умолчанию: `180`.
|
||||
|
||||
## distributed_ddl_output_mode {#distributed_ddl_output_mode}
|
||||
|
||||
Задает формат результата распределенного DDL-запроса.
|
||||
|
||||
Возможные значения:
|
||||
|
||||
- `throw` — возвращает набор результатов со статусом выполнения запросов для всех хостов, где завершен запрос. Если запрос не выполнился на некоторых хостах, то будет выброшено исключение. Если запрос еще не закончен на некоторых хостах и таймаут [distributed_ddl_task_timeout](#distributed_ddl_task_timeout) превышен, то выбрасывается исключение `TIMEOUT_EXCEEDED`.
|
||||
- `none` — идентично `throw`, но распределенный DDL-запрос не возвращает набор результатов.
|
||||
- `null_status_on_timeout` — возвращает `NULL` в качестве статуса выполнения в некоторых строках набора результатов вместо выбрасывания `TIMEOUT_EXCEEDED`, если запрос не закончен на соответствующих хостах.
|
||||
- `never_throw` — не выбрасывает исключение и `TIMEOUT_EXCEEDED`, если запрос не удался на некоторых хостах.
|
||||
|
||||
Значение по умолчанию: `throw`.
|
||||
|
||||
## flatten_nested {#flatten-nested}
|
||||
|
||||
Устанавливает формат данных у [вложенных](../../sql-reference/data-types/nested-data-structures/nested.md) столбцов.
|
||||
|
||||
@ -462,27 +462,29 @@ SELECT reinterpret(toInt8(-1), 'UInt8') as int_to_uint,
|
||||
|
||||
## CAST(x, T) {#type_conversion_function-cast}
|
||||
|
||||
Преобразует входное значение `x` в указанный тип данных `T`. В отличии от функции `reinterpret` использует внешнее представление значения `x`.
|
||||
|
||||
Поддерживается также синтаксис `CAST(x AS t)`.
|
||||
|
||||
!!! warning "Предупреждение"
|
||||
Если значение `x` не может быть преобразовано к типу `T`, возникает переполнение. Например, `CAST(-1, 'UInt8')` возвращает 255.
|
||||
Преобразует входное значение к указанному типу данных. В отличие от функции [reinterpret](#type_conversion_function-reinterpret) `CAST` пытается представить то же самое значение в новом типе данных. Если преобразование невозможно, то возникает исключение.
|
||||
Поддерживается несколько вариантов синтаксиса.
|
||||
|
||||
**Синтаксис**
|
||||
|
||||
``` sql
|
||||
CAST(x, T)
|
||||
CAST(x AS t)
|
||||
x::t
|
||||
```
|
||||
|
||||
**Аргументы**
|
||||
|
||||
- `x` — любой тип данных.
|
||||
- `T` — конечный тип данных. [String](../../sql-reference/data-types/string.md).
|
||||
- `x` — значение, которое нужно преобразовать. Может быть любого типа.
|
||||
- `T` — имя типа данных. [String](../../sql-reference/data-types/string.md).
|
||||
- `t` — тип данных.
|
||||
|
||||
**Возвращаемое значение**
|
||||
|
||||
- Значение конечного типа данных.
|
||||
- Преобразованное значение.
|
||||
|
||||
!!! note "Примечание"
|
||||
Если входное значение выходит за границы нового типа, то результат переполняется. Например, `CAST(-1, 'UInt8')` возвращает `255`.
|
||||
|
||||
**Примеры**
|
||||
|
||||
@ -491,16 +493,16 @@ CAST(x, T)
|
||||
```sql
|
||||
SELECT
|
||||
CAST(toInt8(-1), 'UInt8') AS cast_int_to_uint,
|
||||
CAST(toInt8(1), 'Float32') AS cast_int_to_float,
|
||||
CAST('1', 'UInt32') AS cast_string_to_int
|
||||
CAST(1.5 AS Decimal(3,2)) AS cast_float_to_decimal,
|
||||
'1'::Int32 AS cast_string_to_int;
|
||||
```
|
||||
|
||||
Результат:
|
||||
|
||||
```
|
||||
┌─cast_int_to_uint─┬─cast_int_to_float─┬─cast_string_to_int─┐
|
||||
│ 255 │ 1 │ 1 │
|
||||
└──────────────────┴───────────────────┴────────────────────┘
|
||||
┌─cast_int_to_uint─┬─cast_float_to_decimal─┬─cast_string_to_int─┐
|
||||
│ 255 │ 1.50 │ 1 │
|
||||
└──────────────────┴───────────────────────┴────────────────────┘
|
||||
```
|
||||
|
||||
Запрос:
|
||||
@ -524,7 +526,7 @@ SELECT
|
||||
|
||||
Преобразование в FixedString(N) работает только для аргументов типа [String](../../sql-reference/data-types/string.md) или [FixedString](../../sql-reference/data-types/fixedstring.md).
|
||||
|
||||
Поддерживается преобразование к типу [Nullable](../../sql-reference/functions/type-conversion-functions.md) и обратно.
|
||||
Поддерживается преобразование к типу [Nullable](../../sql-reference/data-types/nullable.md) и обратно.
|
||||
|
||||
**Примеры**
|
||||
|
||||
|
||||
@ -6,12 +6,12 @@ toc_title: Atomic
|
||||
|
||||
# Atomic {#atomic}
|
||||
|
||||
It is supports non-blocking `DROP` and `RENAME TABLE` queries and atomic `EXCHANGE TABLES t1 AND t2` queries. Atomic database engine is used by default.
|
||||
它支持非阻塞 DROP 和 RENAME TABLE 查询以及原子 EXCHANGE TABLES t1 AND t2 查询。默认情况下使用Atomic数据库引擎。
|
||||
|
||||
## Creating a Database {#creating-a-database}
|
||||
## 创建数据库 {#creating-a-database}
|
||||
|
||||
```sql
|
||||
CREATE DATABASE test ENGINE = Atomic;
|
||||
```
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/engines/database_engines/atomic/) <!--hide-->
|
||||
[原文](https://clickhouse.tech/docs/en/engines/database_engines/atomic/) <!--hide-->
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
# 折叠树 {#table_engine-collapsingmergetree}
|
||||
# CollapsingMergeTree {#table_engine-collapsingmergetree}
|
||||
|
||||
该引擎继承于 [MergeTree](mergetree.md)，并在数据块合并算法中添加了折叠行的逻辑。
|
||||
|
||||
@ -203,4 +203,4 @@ SELECT * FROM UAct FINAL
|
||||
|
||||
这种查询数据的方法是非常低效的。不要在大表中使用它。
|
||||
|
||||
[来源文章](https://clickhouse.tech/docs/en/operations/table_engines/collapsingmergetree/) <!--hide-->
|
||||
[原文](https://clickhouse.tech/docs/en/operations/table_engines/collapsingmergetree/) <!--hide-->
|
||||
|
||||
@ -3,7 +3,7 @@ toc_priority: 37
|
||||
toc_title: "版本折叠MergeTree"
|
||||
---
|
||||
|
||||
# 版本折叠MergeTree {#versionedcollapsingmergetree}
|
||||
# VersionedCollapsingMergeTree {#versionedcollapsingmergetree}
|
||||
|
||||
这个引擎:
|
||||
|
||||
|
||||
@ -5,6 +5,6 @@ toc_title: 原生接口(TCP)
|
||||
|
||||
# 原生接口（TCP）{#native-interface-tcp}
|
||||
|
||||
原生接口用于[命令行客户端](cli.md)，用于分布式查询处理期间的服务器间通信，以及其他C++程序。可惜的是，原生的ClickHouse协议还没有正式的规范，但它可以从ClickHouse[源代码](https://github.com/ClickHouse/ClickHouse/tree/master/src/Client)通过拦截和分析TCP流量进行反向工程。
|
||||
原生接口协议用于[命令行客户端](cli.md)，用于分布式查询处理期间的服务器间通信，以及其他C++ 程序。不幸的是，原生ClickHouse协议还没有正式的规范，但它可以从ClickHouse源代码[从这里开始](https://github.com/ClickHouse/ClickHouse/tree/master/src/Client)或通过拦截和分析TCP流量进行逆向工程。
|
||||
|
||||
[来源文章](https://clickhouse.tech/docs/zh/interfaces/tcp/) <!--hide-->
|
||||
[原文](https://clickhouse.tech/docs/en/interfaces/tcp/) <!--hide-->
|
||||
|
||||
@ -5,9 +5,21 @@ toc_title: "操作"
|
||||
|
||||
# 操作 {#operations}
|
||||
|
||||
Clickhouse运维手册主要包含下面几部分：
|
||||
ClickHouse操作手册由以下主要部分组成：
|
||||
|
||||
- 安装要求
|
||||
- [安装要求](../operations/requirements.md)
|
||||
- [监控](../operations/monitoring.md)
|
||||
- [故障排除](../operations/troubleshooting.md)
|
||||
- [使用建议](../operations/tips.md)
|
||||
- [更新程序](../operations/update.md)
|
||||
- [访问权限](../operations/access-rights.md)
|
||||
- [数据备份](../operations/backup.md)
|
||||
- [配置文件](../operations/configuration-files.md)
|
||||
- [配额](../operations/quotas.md)
|
||||
- [系统表](../operations/system-tables/index.md)
|
||||
- [服务器配置参数](../operations/server-configuration-parameters/index.md)
|
||||
- [如何用ClickHouse测试你的硬件](../operations/performance-test.md)
|
||||
- [设置](../operations/settings/index.md)
|
||||
- [实用工具](../operations/utilities/index.md)
|
||||
|
||||
|
||||
[原始文章](https://clickhouse.tech/docs/en/operations/) <!--hide-->
|
||||
[原文](https://clickhouse.tech/docs/en/operations/) <!--hide-->
|
||||
|
||||
@ -613,10 +613,16 @@
|
||||
}
|
||||
|
||||
/// Huge JS libraries should be loaded only if needed.
|
||||
function loadJS(src) {
|
||||
function loadJS(src, integrity) {
|
||||
return new Promise((resolve, reject) => {
|
||||
const script = document.createElement('script');
|
||||
script.src = src;
|
||||
if (integrity) {
|
||||
script.crossOrigin = 'anonymous';
|
||||
script.integrity = integrity;
|
||||
} else {
|
||||
console.warn('no integrity for', src)
|
||||
}
|
||||
script.addEventListener('load', function() { resolve(true); });
|
||||
document.head.appendChild(script);
|
||||
});
|
||||
@ -627,10 +633,14 @@
|
||||
if (load_dagre_promise) { return load_dagre_promise; }
|
||||
|
||||
load_dagre_promise = Promise.all([
|
||||
loadJS('https://dagrejs.github.io/project/dagre/v0.8.5/dagre.min.js'),
|
||||
loadJS('https://dagrejs.github.io/project/graphlib-dot/v0.6.4/graphlib-dot.min.js'),
|
||||
loadJS('https://dagrejs.github.io/project/dagre-d3/v0.6.4/dagre-d3.min.js'),
|
||||
loadJS('https://cdn.jsdelivr.net/npm/d3@7.0.0'),
|
||||
loadJS('https://dagrejs.github.io/project/dagre/v0.8.5/dagre.min.js',
|
||||
'sha384-2IH3T69EIKYC4c+RXZifZRvaH5SRUdacJW7j6HtE5rQbvLhKKdawxq6vpIzJ7j9M'),
|
||||
loadJS('https://dagrejs.github.io/project/graphlib-dot/v0.6.4/graphlib-dot.min.js',
|
||||
'sha384-Q7oatU+b+y0oTkSoiRH9wTLH6sROySROCILZso/AbMMm9uKeq++r8ujD4l4f+CWj'),
|
||||
loadJS('https://dagrejs.github.io/project/dagre-d3/v0.6.4/dagre-d3.min.js',
|
||||
'sha384-9N1ty7Yz7VKL3aJbOk+8ParYNW8G5W+MvxEfFL9G7CRYPmkHI9gJqyAfSI/8190W'),
|
||||
loadJS('https://cdn.jsdelivr.net/npm/d3@7.0.0',
|
||||
'sha384-S+Kf0r6YzKIhKA8d1k2/xtYv+j0xYUU3E7+5YLrcPVab6hBh/r1J6cq90OXhw80u'),
|
||||
]);
|
||||
|
||||
return load_dagre_promise;
|
||||
|
||||
@ -64,7 +64,12 @@ public:
|
||||
std::lock_guard lock{mutex};
|
||||
auto x = cache.get(params);
|
||||
if (x)
|
||||
{
|
||||
if ((*x)->getUser())
|
||||
return *x;
|
||||
/// No user, probably the user has been dropped while it was in the cache.
|
||||
cache.remove(params);
|
||||
}
|
||||
auto res = std::shared_ptr<ContextAccess>(new ContextAccess(manager, params));
|
||||
cache.add(params, res);
|
||||
return res;
|
||||
|
||||
@ -655,7 +655,7 @@ private:
|
||||
for (auto & [lhs_childname, lhs_child] : *children)
|
||||
{
|
||||
if (!rhs.tryGetChild(lhs_childname))
|
||||
lhs_child.flags |= rhs.flags & lhs_child.getAllGrantableFlags();
|
||||
lhs_child.addGrantsRec(rhs.flags);
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -673,7 +673,7 @@ private:
|
||||
for (auto & [lhs_childname, lhs_child] : *children)
|
||||
{
|
||||
if (!rhs.tryGetChild(lhs_childname))
|
||||
lhs_child.flags &= rhs.flags;
|
||||
lhs_child.removeGrantsRec(~rhs.flags);
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1041,17 +1041,15 @@ void AccessRights::makeIntersection(const AccessRights & other)
|
||||
auto helper = [](std::unique_ptr<Node> & root_node, const std::unique_ptr<Node> & other_root_node)
|
||||
{
|
||||
if (!root_node)
|
||||
return;
|
||||
if (!other_root_node)
|
||||
{
|
||||
if (other_root_node)
|
||||
root_node = std::make_unique<Node>(*other_root_node);
|
||||
root_node = nullptr;
|
||||
return;
|
||||
}
|
||||
if (other_root_node)
|
||||
{
|
||||
root_node->makeIntersection(*other_root_node);
|
||||
if (!root_node->flags && !root_node->children)
|
||||
root_node = nullptr;
|
||||
}
|
||||
};
|
||||
helper(root, other.root);
|
||||
helper(root_with_grant_option, other.root_with_grant_option);
|
||||
|
||||
@ -163,11 +163,10 @@ void ContextAccess::setUser(const UserPtr & user_) const
|
||||
if (!user)
|
||||
{
|
||||
/// User has been dropped.
|
||||
auto nothing_granted = std::make_shared<AccessRights>();
|
||||
access = nothing_granted;
|
||||
access_with_implicit = nothing_granted;
|
||||
subscription_for_user_change = {};
|
||||
subscription_for_roles_changes = {};
|
||||
access = nullptr;
|
||||
access_with_implicit = nullptr;
|
||||
enabled_roles = nullptr;
|
||||
roles_info = nullptr;
|
||||
enabled_row_policies = nullptr;
|
||||
@ -252,32 +251,45 @@ String ContextAccess::getUserName() const
|
||||
std::shared_ptr<const EnabledRolesInfo> ContextAccess::getRolesInfo() const
|
||||
{
|
||||
std::lock_guard lock{mutex};
|
||||
if (roles_info)
|
||||
return roles_info;
|
||||
static const auto no_roles = std::make_shared<EnabledRolesInfo>();
|
||||
return no_roles;
|
||||
}
|
||||
|
||||
std::shared_ptr<const EnabledRowPolicies> ContextAccess::getEnabledRowPolicies() const
|
||||
{
|
||||
std::lock_guard lock{mutex};
|
||||
if (enabled_row_policies)
|
||||
return enabled_row_policies;
|
||||
static const auto no_row_policies = std::make_shared<EnabledRowPolicies>();
|
||||
return no_row_policies;
|
||||
}
|
||||
|
||||
ASTPtr ContextAccess::getRowPolicyCondition(const String & database, const String & table_name, RowPolicy::ConditionType index, const ASTPtr & extra_condition) const
|
||||
{
|
||||
std::lock_guard lock{mutex};
|
||||
return enabled_row_policies ? enabled_row_policies->getCondition(database, table_name, index, extra_condition) : nullptr;
|
||||
if (enabled_row_policies)
|
||||
return enabled_row_policies->getCondition(database, table_name, index, extra_condition);
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
std::shared_ptr<const EnabledQuota> ContextAccess::getQuota() const
|
||||
{
|
||||
std::lock_guard lock{mutex};
|
||||
if (enabled_quota)
|
||||
return enabled_quota;
|
||||
static const auto unlimited_quota = EnabledQuota::getUnlimitedQuota();
|
||||
return unlimited_quota;
|
||||
}
|
||||
|
||||
|
||||
std::optional<QuotaUsage> ContextAccess::getQuotaUsage() const
|
||||
{
|
||||
std::lock_guard lock{mutex};
|
||||
return enabled_quota ? enabled_quota->getUsage() : std::optional<QuotaUsage>{};
|
||||
if (enabled_quota)
|
||||
return enabled_quota->getUsage();
|
||||
return {};
|
||||
}
|
||||
|
||||
|
||||
@ -288,7 +300,7 @@ std::shared_ptr<const ContextAccess> ContextAccess::getFullAccess()
|
||||
auto full_access = std::shared_ptr<ContextAccess>(new ContextAccess);
|
||||
full_access->is_full_access = true;
|
||||
full_access->access = std::make_shared<AccessRights>(AccessRights::getFullAccess());
|
||||
full_access->enabled_quota = EnabledQuota::getUnlimitedQuota();
|
||||
full_access->access_with_implicit = std::make_shared<AccessRights>(addImplicitAccessRights(*full_access->access));
|
||||
return full_access;
|
||||
}();
|
||||
return res;
|
||||
@ -298,28 +310,40 @@ std::shared_ptr<const ContextAccess> ContextAccess::getFullAccess()
|
||||
std::shared_ptr<const Settings> ContextAccess::getDefaultSettings() const
|
||||
{
|
||||
std::lock_guard lock{mutex};
|
||||
return enabled_settings ? enabled_settings->getSettings() : nullptr;
|
||||
if (enabled_settings)
|
||||
return enabled_settings->getSettings();
|
||||
static const auto everything_by_default = std::make_shared<Settings>();
|
||||
return everything_by_default;
|
||||
}
|
||||
|
||||
|
||||
std::shared_ptr<const SettingsConstraints> ContextAccess::getSettingsConstraints() const
|
||||
{
|
||||
std::lock_guard lock{mutex};
|
||||
return enabled_settings ? enabled_settings->getConstraints() : nullptr;
|
||||
if (enabled_settings)
|
||||
return enabled_settings->getConstraints();
|
||||
static const auto no_constraints = std::make_shared<SettingsConstraints>();
|
||||
return no_constraints;
|
||||
}
|
||||
|
||||
|
||||
std::shared_ptr<const AccessRights> ContextAccess::getAccessRights() const
|
||||
{
|
||||
std::lock_guard lock{mutex};
|
||||
if (access)
|
||||
return access;
|
||||
static const auto nothing_granted = std::make_shared<AccessRights>();
|
||||
return nothing_granted;
|
||||
}
|
||||
|
||||
|
||||
std::shared_ptr<const AccessRights> ContextAccess::getAccessRightsWithImplicit() const
|
||||
{
|
||||
std::lock_guard lock{mutex};
|
||||
if (access_with_implicit)
|
||||
return access_with_implicit;
|
||||
static const auto nothing_granted = std::make_shared<AccessRights>();
|
||||
return nothing_granted;
|
||||
}
|
||||
|
||||
|
||||
@ -551,7 +575,7 @@ bool ContextAccess::checkAdminOptionImplHelper(const Container & role_ids, const
|
||||
for (auto it = std::begin(role_ids); it != std::end(role_ids); ++it, ++i)
|
||||
{
|
||||
const UUID & role_id = *it;
|
||||
if (info && info->enabled_roles_with_admin_option.count(role_id))
|
||||
if (info->enabled_roles_with_admin_option.count(role_id))
|
||||
continue;
|
||||
|
||||
if (throw_if_denied)
|
||||
@ -560,7 +584,7 @@ bool ContextAccess::checkAdminOptionImplHelper(const Container & role_ids, const
|
||||
if (!role_name)
|
||||
role_name = "ID {" + toString(role_id) + "}";
|
||||
|
||||
if (info && info->enabled_roles.count(role_id))
|
||||
if (info->enabled_roles.count(role_id))
|
||||
show_error("Not enough privileges. "
|
||||
"Role " + backQuote(*role_name) + " is granted, but without ADMIN option. "
|
||||
"To execute this query it's necessary to have the role " + backQuoteIfNeed(*role_name) + " granted with ADMIN option.",
|
||||
|
||||
@ -71,11 +71,9 @@ public:
|
||||
String getUserName() const;
|
||||
|
||||
/// Returns information about current and enabled roles.
|
||||
/// The function can return nullptr.
|
||||
std::shared_ptr<const EnabledRolesInfo> getRolesInfo() const;
|
||||
|
||||
/// Returns information about enabled row policies.
|
||||
/// The function can return nullptr.
|
||||
std::shared_ptr<const EnabledRowPolicies> getEnabledRowPolicies() const;
|
||||
|
||||
/// Returns the row policy filter for a specified table.
|
||||
@ -83,16 +81,13 @@ public:
|
||||
ASTPtr getRowPolicyCondition(const String & database, const String & table_name, RowPolicy::ConditionType index, const ASTPtr & extra_condition = nullptr) const;
|
||||
|
||||
/// Returns the quota to track resource consumption.
|
||||
/// The function returns nullptr if no tracking or limitation is needed.
|
||||
std::shared_ptr<const EnabledQuota> getQuota() const;
|
||||
std::optional<QuotaUsage> getQuotaUsage() const;
|
||||
|
||||
/// Returns the default settings, i.e. the settings to apply on user's login.
|
||||
/// The function returns nullptr if it's no need to apply settings.
|
||||
std::shared_ptr<const Settings> getDefaultSettings() const;
|
||||
|
||||
/// Returns the settings' constraints.
|
||||
/// The function returns nullptr if there are no constraints.
|
||||
std::shared_ptr<const SettingsConstraints> getSettingsConstraints() const;
|
||||
|
||||
/// Returns the current access rights.
|
||||
|
||||
@ -12,8 +12,11 @@ size_t EnabledRowPolicies::Hash::operator()(const MixedConditionKey & key) const
|
||||
}
|
||||
|
||||
|
||||
EnabledRowPolicies::EnabledRowPolicies(const Params & params_)
|
||||
: params(params_)
|
||||
EnabledRowPolicies::EnabledRowPolicies() : params()
|
||||
{
|
||||
}
|
||||
|
||||
EnabledRowPolicies::EnabledRowPolicies(const Params & params_) : params(params_)
|
||||
{
|
||||
}
|
||||
|
||||
|
||||
@ -32,6 +32,7 @@ public:
|
||||
friend bool operator >=(const Params & lhs, const Params & rhs) { return !(lhs < rhs); }
|
||||
};
|
||||
|
||||
EnabledRowPolicies();
|
||||
~EnabledRowPolicies();
|
||||
|
||||
using ConditionType = RowPolicy::ConditionType;
|
||||
|
||||
@ -18,6 +18,8 @@ namespace ErrorCodes
|
||||
}
|
||||
|
||||
|
||||
SettingsConstraints::SettingsConstraints() = default;
|
||||
|
||||
SettingsConstraints::SettingsConstraints(const AccessControlManager & manager_) : manager(&manager_)
|
||||
{
|
||||
}
|
||||
@ -199,10 +201,13 @@ bool SettingsConstraints::checkImpl(const Settings & current_settings, SettingCh
|
||||
}
|
||||
};
|
||||
|
||||
if (manager)
|
||||
{
|
||||
if (reaction == THROW_ON_VIOLATION)
|
||||
manager->checkSettingNameIsAllowed(setting_name);
|
||||
else if (!manager->isSettingNameAllowed(setting_name))
|
||||
return false;
|
||||
}
|
||||
|
||||
Field current_value, new_value;
|
||||
if (current_settings.tryGet(setting_name, current_value))
|
||||
|
||||
@ -51,6 +51,7 @@ class AccessControlManager;
|
||||
class SettingsConstraints
|
||||
{
|
||||
public:
|
||||
SettingsConstraints();
|
||||
SettingsConstraints(const AccessControlManager & manager_);
|
||||
SettingsConstraints(const SettingsConstraints & src);
|
||||
SettingsConstraints & operator =(const SettingsConstraints & src);
|
||||
|
||||
94
src/Access/tests/gtest_access_rights_ops.cpp
Normal file
94
src/Access/tests/gtest_access_rights_ops.cpp
Normal file
@ -0,0 +1,94 @@
|
||||
#include <gtest/gtest.h>
|
||||
#include <Access/AccessRights.h>
|
||||
|
||||
using namespace DB;
|
||||
|
||||
|
||||
TEST(AccessRights, Union)
|
||||
{
|
||||
AccessRights lhs, rhs;
|
||||
lhs.grant(AccessType::CREATE_TABLE, "db1", "tb1");
|
||||
rhs.grant(AccessType::SELECT, "db2");
|
||||
lhs.makeUnion(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT CREATE TABLE ON db1.tb1, GRANT SELECT ON db2.*");
|
||||
|
||||
lhs.clear();
|
||||
rhs.clear();
|
||||
rhs.grant(AccessType::SELECT, "db2");
|
||||
lhs.grant(AccessType::CREATE_TABLE, "db1", "tb1");
|
||||
lhs.makeUnion(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT CREATE TABLE ON db1.tb1, GRANT SELECT ON db2.*");
|
||||
|
||||
lhs = {};
|
||||
rhs = {};
|
||||
lhs.grant(AccessType::SELECT);
|
||||
rhs.grant(AccessType::SELECT, "db1", "tb1");
|
||||
lhs.makeUnion(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT SELECT ON *.*");
|
||||
|
||||
lhs = {};
|
||||
rhs = {};
|
||||
lhs.grant(AccessType::SELECT, "db1", "tb1", Strings{"col1", "col2"});
|
||||
rhs.grant(AccessType::SELECT, "db1", "tb1", Strings{"col2", "col3"});
|
||||
lhs.makeUnion(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT SELECT(col1, col2, col3) ON db1.tb1");
|
||||
|
||||
lhs = {};
|
||||
rhs = {};
|
||||
lhs.grant(AccessType::SELECT, "db1", "tb1", Strings{"col1", "col2"});
|
||||
rhs.grantWithGrantOption(AccessType::SELECT, "db1", "tb1", Strings{"col2", "col3"});
|
||||
lhs.makeUnion(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT SELECT(col1) ON db1.tb1, GRANT SELECT(col2, col3) ON db1.tb1 WITH GRANT OPTION");
|
||||
|
||||
lhs = {};
|
||||
rhs = {};
|
||||
lhs.grant(AccessType::INSERT);
|
||||
rhs.grant(AccessType::ALL, "db1");
|
||||
lhs.makeUnion(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT INSERT ON *.*, GRANT SHOW, SELECT, ALTER, CREATE DATABASE, CREATE TABLE, CREATE VIEW, CREATE DICTIONARY, DROP, TRUNCATE, OPTIMIZE, SYSTEM MERGES, SYSTEM TTL MERGES, SYSTEM FETCHES, SYSTEM MOVES, SYSTEM SENDS, SYSTEM REPLICATION QUEUES, SYSTEM DROP REPLICA, SYSTEM SYNC REPLICA, SYSTEM RESTART REPLICA, SYSTEM RESTORE REPLICA, SYSTEM FLUSH DISTRIBUTED, dictGet ON db1.*");
|
||||
}
|
||||
|
||||
|
||||
TEST(AccessRights, Intersection)
|
||||
{
|
||||
AccessRights lhs, rhs;
|
||||
lhs.grant(AccessType::CREATE_TABLE, "db1", "tb1");
|
||||
rhs.grant(AccessType::SELECT, "db2");
|
||||
lhs.makeIntersection(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT USAGE ON *.*");
|
||||
|
||||
lhs.clear();
|
||||
rhs.clear();
|
||||
lhs.grant(AccessType::SELECT, "db2");
|
||||
rhs.grant(AccessType::CREATE_TABLE, "db1", "tb1");
|
||||
lhs.makeIntersection(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT USAGE ON *.*");
|
||||
|
||||
lhs = {};
|
||||
rhs = {};
|
||||
lhs.grant(AccessType::SELECT);
|
||||
rhs.grant(AccessType::SELECT, "db1", "tb1");
|
||||
lhs.makeIntersection(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT SELECT ON db1.tb1");
|
||||
|
||||
lhs = {};
|
||||
rhs = {};
|
||||
lhs.grant(AccessType::SELECT, "db1", "tb1", Strings{"col1", "col2"});
|
||||
rhs.grant(AccessType::SELECT, "db1", "tb1", Strings{"col2", "col3"});
|
||||
lhs.makeIntersection(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT SELECT(col2) ON db1.tb1");
|
||||
|
||||
lhs = {};
|
||||
rhs = {};
|
||||
lhs.grant(AccessType::SELECT, "db1", "tb1", Strings{"col1", "col2"});
|
||||
rhs.grantWithGrantOption(AccessType::SELECT, "db1", "tb1", Strings{"col2", "col3"});
|
||||
lhs.makeIntersection(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT SELECT(col2) ON db1.tb1");
|
||||
|
||||
lhs = {};
|
||||
rhs = {};
|
||||
lhs.grant(AccessType::INSERT);
|
||||
rhs.grant(AccessType::ALL, "db1");
|
||||
lhs.makeIntersection(rhs);
|
||||
ASSERT_EQ(lhs.toString(), "GRANT INSERT ON db1.*");
|
||||
}
|
||||
@ -109,11 +109,23 @@ static DNSResolver::IPAddresses resolveIPAddressImpl(const std::string & host)
|
||||
/// It should not affect client address checking, since client cannot connect from IPv6 address
|
||||
/// if server has no IPv6 addresses.
|
||||
flags |= Poco::Net::DNS::DNS_HINT_AI_ADDRCONFIG;
|
||||
|
||||
DNSResolver::IPAddresses addresses;
|
||||
|
||||
try
|
||||
{
|
||||
#if defined(ARCADIA_BUILD)
|
||||
auto addresses = Poco::Net::DNS::hostByName(host, &Poco::Net::DNS::DEFAULT_DNS_TIMEOUT, flags).addresses();
|
||||
addresses = Poco::Net::DNS::hostByName(host, &Poco::Net::DNS::DEFAULT_DNS_TIMEOUT, flags).addresses();
|
||||
#else
|
||||
auto addresses = Poco::Net::DNS::hostByName(host, flags).addresses();
|
||||
addresses = Poco::Net::DNS::hostByName(host, flags).addresses();
|
||||
#endif
|
||||
}
|
||||
catch (const Poco::Net::DNSException & e)
|
||||
{
|
||||
LOG_ERROR(&Poco::Logger::get("DNSResolver"), "Cannot resolve host ({}), error {}: {}.", host, e.code(), e.message());
|
||||
addresses.clear();
|
||||
}
|
||||
|
||||
if (addresses.empty())
|
||||
throw Exception("Not found address of host: " + host, ErrorCodes::DNS_ERROR);
|
||||
|
||||
|
||||
@ -224,7 +224,7 @@
|
||||
M(PerfLocalMemoryReferences, "Local NUMA node memory reads") \
|
||||
M(PerfLocalMemoryMisses, "Local NUMA node memory read misses") \
|
||||
\
|
||||
M(CreatedHTTPConnections, "Total amount of created HTTP connections (closed or opened).") \
|
||||
M(CreatedHTTPConnections, "Total amount of created HTTP connections (counter increase every time connection is created).") \
|
||||
\
|
||||
M(CannotWriteToWriteBufferDiscard, "Number of stack traces dropped by query profiler or signal handler because pipe is full or cannot write to pipe.") \
|
||||
M(QueryProfilerSignalOverruns, "Number of times we drop processing of a signal due to overrun plus the number of signals that OS has not delivered due to overrun.") \
|
||||
|
||||
@ -375,9 +375,13 @@ void Block::setColumn(size_t position, ColumnWithTypeAndName && column)
|
||||
throw Exception(ErrorCodes::POSITION_OUT_OF_BOUND, "Position {} out of bound in Block::setColumn(), max position {}",
|
||||
position, toString(data.size()));
|
||||
|
||||
data[position].name = std::move(column.name);
|
||||
data[position].type = std::move(column.type);
|
||||
data[position].column = std::move(column.column);
|
||||
if (data[position].name != column.name)
|
||||
{
|
||||
index_by_name.erase(data[position].name);
|
||||
index_by_name.emplace(column.name, position);
|
||||
}
|
||||
|
||||
data[position] = std::move(column);
|
||||
}
|
||||
|
||||
|
||||
|
||||
@ -526,6 +526,7 @@ class IColumn;
|
||||
M(Bool, input_format_values_accurate_types_of_literals, true, "For Values format: when parsing and interpreting expressions using template, check actual type of literal to avoid possible overflow and precision issues.", 0) \
|
||||
M(Bool, input_format_avro_allow_missing_fields, false, "For Avro/AvroConfluent format: when field is not found in schema use default value instead of error", 0) \
|
||||
M(URI, format_avro_schema_registry_url, "", "For AvroConfluent format: Confluent Schema Registry URL.", 0) \
|
||||
M(String, output_format_avro_string_column_pattern, "", "For Avro format: regexp of String columns to select as AVRO string.", 0) \
|
||||
\
|
||||
M(Bool, output_format_json_quote_64bit_integers, true, "Controls quoting of 64-bit integers in JSON output format.", 0) \
|
||||
\
|
||||
|
||||
@ -7,7 +7,7 @@
|
||||
#if USE_SQLITE
|
||||
#include <Core/Types.h>
|
||||
#include <Interpreters/Context.h>
|
||||
#include <sqlite3.h>
|
||||
#include <sqlite3.h> // Y_IGNORE
|
||||
|
||||
|
||||
namespace DB
|
||||
|
||||
@ -60,6 +60,7 @@ FormatSettings getFormatSettings(ContextPtr context, const Settings & settings)
|
||||
format_settings.avro.output_codec = settings.output_format_avro_codec;
|
||||
format_settings.avro.output_sync_interval = settings.output_format_avro_sync_interval;
|
||||
format_settings.avro.schema_registry_url = settings.format_avro_schema_registry_url.toString();
|
||||
format_settings.avro.string_column_pattern = settings.output_format_avro_string_column_pattern.toString();
|
||||
format_settings.csv.allow_double_quotes = settings.format_csv_allow_double_quotes;
|
||||
format_settings.csv.allow_single_quotes = settings.format_csv_allow_single_quotes;
|
||||
format_settings.csv.crlf_end_of_line = settings.output_format_csv_crlf_end_of_line;
|
||||
|
||||
@ -61,6 +61,7 @@ struct FormatSettings
|
||||
String output_codec;
|
||||
UInt64 output_sync_interval = 16 * 1024;
|
||||
bool allow_missing_fields = false;
|
||||
String string_column_pattern;
|
||||
} avro;
|
||||
|
||||
struct CSV
|
||||
@ -169,4 +170,3 @@ struct FormatSettings
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
|
||||
@ -546,13 +546,16 @@ void AsynchronousMetrics::update(std::chrono::system_clock::time_point update_ti
|
||||
Int64 peak = total_memory_tracker.getPeak();
|
||||
Int64 new_amount = data.resident;
|
||||
|
||||
LOG_DEBUG(&Poco::Logger::get("AsynchronousMetrics"),
|
||||
Int64 difference = new_amount - amount;
|
||||
|
||||
/// Log only if difference is high. This is for convenience. The threshold is arbitrary.
|
||||
if (difference >= 1048576 || difference <= -1048576)
|
||||
LOG_TRACE(&Poco::Logger::get("AsynchronousMetrics"),
|
||||
"MemoryTracking: was {}, peak {}, will set to {} (RSS), difference: {}",
|
||||
ReadableSize(amount),
|
||||
ReadableSize(peak),
|
||||
ReadableSize(new_amount),
|
||||
ReadableSize(new_amount - amount)
|
||||
);
|
||||
ReadableSize(difference));
|
||||
|
||||
total_memory_tracker.set(new_amount);
|
||||
CurrentMetrics::set(CurrentMetrics::MemoryTracking, new_amount);
|
||||
|
||||
@ -1198,26 +1198,22 @@ void Context::applySettingsChanges(const SettingsChanges & changes)
|
||||
|
||||
void Context::checkSettingsConstraints(const SettingChange & change) const
|
||||
{
|
||||
if (auto settings_constraints = getSettingsConstraints())
|
||||
settings_constraints->check(settings, change);
|
||||
getSettingsConstraints()->check(settings, change);
|
||||
}
|
||||
|
||||
void Context::checkSettingsConstraints(const SettingsChanges & changes) const
|
||||
{
|
||||
if (auto settings_constraints = getSettingsConstraints())
|
||||
settings_constraints->check(settings, changes);
|
||||
getSettingsConstraints()->check(settings, changes);
|
||||
}
|
||||
|
||||
void Context::checkSettingsConstraints(SettingsChanges & changes) const
|
||||
{
|
||||
if (auto settings_constraints = getSettingsConstraints())
|
||||
settings_constraints->check(settings, changes);
|
||||
getSettingsConstraints()->check(settings, changes);
|
||||
}
|
||||
|
||||
void Context::clampToSettingsConstraints(SettingsChanges & changes) const
|
||||
{
|
||||
if (auto settings_constraints = getSettingsConstraints())
|
||||
settings_constraints->clamp(settings, changes);
|
||||
getSettingsConstraints()->clamp(settings, changes);
|
||||
}
|
||||
|
||||
std::shared_ptr<const SettingsConstraints> Context::getSettingsConstraints() const
|
||||
|
||||
@ -93,24 +93,28 @@ namespace
|
||||
const AccessControlManager & access_control,
|
||||
const ContextAccess & access,
|
||||
const ASTGrantQuery & query,
|
||||
const std::vector<UUID> & grantees_from_query)
|
||||
const std::vector<UUID> & grantees_from_query,
|
||||
bool & need_check_grantees_are_allowed)
|
||||
{
|
||||
const auto & elements = query.access_rights_elements;
|
||||
need_check_grantees_are_allowed = true;
|
||||
if (elements.empty())
|
||||
{
|
||||
/// No access rights to grant or revoke.
|
||||
need_check_grantees_are_allowed = false;
|
||||
return;
|
||||
}
|
||||
|
||||
/// To execute the command GRANT the current user needs to have the access granted
|
||||
/// with GRANT OPTION.
|
||||
if (!query.is_revoke)
|
||||
{
|
||||
/// To execute the command GRANT the current user needs to have the access granted with GRANT OPTION.
|
||||
access.checkGrantOption(elements);
|
||||
checkGranteesAreAllowed(access_control, access, grantees_from_query);
|
||||
return;
|
||||
}
|
||||
|
||||
if (access.hasGrantOption(elements))
|
||||
{
|
||||
checkGranteesAreAllowed(access_control, access, grantees_from_query);
|
||||
/// Simple case: the current user has the grant option for all the access rights specified for REVOKE.
|
||||
return;
|
||||
}
|
||||
|
||||
@ -137,6 +141,7 @@ namespace
|
||||
all_granted_access.makeUnion(user->access);
|
||||
}
|
||||
}
|
||||
need_check_grantees_are_allowed = false; /// already checked
|
||||
|
||||
AccessRights required_access;
|
||||
if (elements[0].is_partial_revoke)
|
||||
@ -158,21 +163,28 @@ namespace
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
std::vector<UUID> getRoleIDsAndCheckAdminOption(
|
||||
const AccessControlManager & access_control,
|
||||
const ContextAccess & access,
|
||||
const ASTGrantQuery & query,
|
||||
const RolesOrUsersSet & roles_from_query,
|
||||
const std::vector<UUID> & grantees_from_query)
|
||||
const std::vector<UUID> & grantees_from_query,
|
||||
bool & need_check_grantees_are_allowed)
|
||||
{
|
||||
std::vector<UUID> matching_ids;
|
||||
need_check_grantees_are_allowed = true;
|
||||
if (roles_from_query.empty())
|
||||
{
|
||||
/// No roles to grant or revoke.
|
||||
need_check_grantees_are_allowed = false;
|
||||
return {};
|
||||
}
|
||||
|
||||
std::vector<UUID> matching_ids;
|
||||
if (!query.is_revoke)
|
||||
{
|
||||
/// To execute the command GRANT the current user needs to have the roles granted with ADMIN OPTION.
|
||||
matching_ids = roles_from_query.getMatchingIDs(access_control);
|
||||
access.checkAdminOption(matching_ids);
|
||||
checkGranteesAreAllowed(access_control, access, grantees_from_query);
|
||||
return matching_ids;
|
||||
}
|
||||
|
||||
@ -181,7 +193,7 @@ namespace
|
||||
matching_ids = roles_from_query.getMatchingIDs();
|
||||
if (access.hasAdminOption(matching_ids))
|
||||
{
|
||||
checkGranteesAreAllowed(access_control, access, grantees_from_query);
|
||||
/// Simple case: the current user has the admin option for all the roles specified for REVOKE.
|
||||
return matching_ids;
|
||||
}
|
||||
}
|
||||
@ -209,6 +221,7 @@ namespace
|
||||
all_granted_roles.makeUnion(user->granted_roles);
|
||||
}
|
||||
}
|
||||
need_check_grantees_are_allowed = false; /// already checked
|
||||
|
||||
const auto & all_granted_roles_set = query.admin_option ? all_granted_roles.getGrantedWithAdminOption() : all_granted_roles.getGranted();
|
||||
if (roles_from_query.all)
|
||||
@ -218,6 +231,33 @@ namespace
|
||||
access.checkAdminOption(matching_ids);
|
||||
return matching_ids;
|
||||
}
|
||||
|
||||
void checkGrantOptionAndGrantees(
|
||||
const AccessControlManager & access_control,
|
||||
const ContextAccess & access,
|
||||
const ASTGrantQuery & query,
|
||||
const std::vector<UUID> & grantees_from_query)
|
||||
{
|
||||
bool need_check_grantees_are_allowed = true;
|
||||
checkGrantOption(access_control, access, query, grantees_from_query, need_check_grantees_are_allowed);
|
||||
if (need_check_grantees_are_allowed)
|
||||
checkGranteesAreAllowed(access_control, access, grantees_from_query);
|
||||
}
|
||||
|
||||
std::vector<UUID> getRoleIDsAndCheckAdminOptionAndGrantees(
|
||||
const AccessControlManager & access_control,
|
||||
const ContextAccess & access,
|
||||
const ASTGrantQuery & query,
|
||||
const RolesOrUsersSet & roles_from_query,
|
||||
const std::vector<UUID> & grantees_from_query)
|
||||
{
|
||||
bool need_check_grantees_are_allowed = true;
|
||||
auto role_ids = getRoleIDsAndCheckAdminOption(
|
||||
access_control, access, query, roles_from_query, grantees_from_query, need_check_grantees_are_allowed);
|
||||
if (need_check_grantees_are_allowed)
|
||||
checkGranteesAreAllowed(access_control, access, grantees_from_query);
|
||||
return role_ids;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -243,7 +283,7 @@ BlockIO InterpreterGrantQuery::execute()
|
||||
/// Check if the current user has corresponding roles granted with admin option.
|
||||
std::vector<UUID> roles;
|
||||
if (roles_set)
|
||||
roles = getRoleIDsAndCheckAdminOption(access_control, *getContext()->getAccess(), query, *roles_set, grantees);
|
||||
roles = getRoleIDsAndCheckAdminOptionAndGrantees(access_control, *getContext()->getAccess(), query, *roles_set, grantees);
|
||||
|
||||
if (!query.cluster.empty())
|
||||
{
|
||||
@ -258,7 +298,7 @@ BlockIO InterpreterGrantQuery::execute()
|
||||
|
||||
/// Check if the current user has corresponding access rights with grant option.
|
||||
if (!query.access_rights_elements.empty())
|
||||
checkGrantOption(access_control, *getContext()->getAccess(), query, grantees);
|
||||
checkGrantOptionAndGrantees(access_control, *getContext()->getAccess(), query, grantees);
|
||||
|
||||
/// Update roles and users listed in `grantees`.
|
||||
auto update_func = [&](const AccessEntityPtr & entity) -> AccessEntityPtr
|
||||
|
||||
@ -1048,8 +1048,11 @@ private:
|
||||
}
|
||||
|
||||
if (rows_added >= max_block_size)
|
||||
{
|
||||
++block_number;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
return rows_added;
|
||||
}
|
||||
|
||||
@ -41,6 +41,7 @@
|
||||
#include <avro/ValidSchema.hh>
|
||||
#include <avro/Writer.hh>
|
||||
|
||||
#include <re2/re2.h>
|
||||
|
||||
namespace DB
|
||||
{
|
||||
@ -48,8 +49,34 @@ namespace ErrorCodes
|
||||
{
|
||||
extern const int ILLEGAL_COLUMN;
|
||||
extern const int BAD_ARGUMENTS;
|
||||
extern const int CANNOT_COMPILE_REGEXP;
|
||||
}
|
||||
|
||||
class AvroSerializerTraits
|
||||
{
|
||||
public:
|
||||
explicit AvroSerializerTraits(const FormatSettings & settings_)
|
||||
: string_to_string_regexp(settings_.avro.string_column_pattern)
|
||||
{
|
||||
if (!string_to_string_regexp.ok())
|
||||
throw DB::Exception(
|
||||
"Avro: cannot compile re2: " + settings_.avro.string_column_pattern + ", error: " + string_to_string_regexp.error()
|
||||
+ ". Look at https://github.com/google/re2/wiki/Syntax for reference.",
|
||||
DB::ErrorCodes::CANNOT_COMPILE_REGEXP);
|
||||
}
|
||||
|
||||
bool isStringAsString(const String & column_name)
|
||||
{
|
||||
return RE2::FullMatch(column_name, string_to_string_regexp);
|
||||
}
|
||||
|
||||
~AvroSerializerTraits() = default;
|
||||
|
||||
private:
|
||||
const RE2 string_to_string_regexp;
|
||||
};
|
||||
|
||||
|
||||
class OutputStreamWriteBufferAdapter : public avro::OutputStream
|
||||
{
|
||||
public:
|
||||
@ -75,7 +102,7 @@ private:
|
||||
};
|
||||
|
||||
|
||||
AvroSerializer::SchemaWithSerializeFn AvroSerializer::createSchemaWithSerializeFn(DataTypePtr data_type, size_t & type_name_increment)
|
||||
AvroSerializer::SchemaWithSerializeFn AvroSerializer::createSchemaWithSerializeFn(DataTypePtr data_type, size_t & type_name_increment, const String & column_name)
|
||||
{
|
||||
++type_name_increment;
|
||||
|
||||
@ -161,11 +188,20 @@ AvroSerializer::SchemaWithSerializeFn AvroSerializer::createSchemaWithSerializeF
|
||||
}};
|
||||
}
|
||||
case TypeIndex::String:
|
||||
if (traits->isStringAsString(column_name))
|
||||
return {avro::StringSchema(), [](const IColumn & column, size_t row_num, avro::Encoder & encoder)
|
||||
{
|
||||
const StringRef & s = assert_cast<const ColumnString &>(column).getDataAt(row_num);
|
||||
encoder.encodeString(s.toString());
|
||||
}
|
||||
};
|
||||
else
|
||||
return {avro::BytesSchema(), [](const IColumn & column, size_t row_num, avro::Encoder & encoder)
|
||||
{
|
||||
const StringRef & s = assert_cast<const ColumnString &>(column).getDataAt(row_num);
|
||||
encoder.encodeBytes(reinterpret_cast<const uint8_t *>(s.data), s.size);
|
||||
}};
|
||||
}
|
||||
};
|
||||
case TypeIndex::FixedString:
|
||||
{
|
||||
auto size = data_type->getSizeOfValueInMemory();
|
||||
@ -223,7 +259,7 @@ AvroSerializer::SchemaWithSerializeFn AvroSerializer::createSchemaWithSerializeF
|
||||
case TypeIndex::Array:
|
||||
{
|
||||
const auto & array_type = assert_cast<const DataTypeArray &>(*data_type);
|
||||
auto nested_mapping = createSchemaWithSerializeFn(array_type.getNestedType(), type_name_increment);
|
||||
auto nested_mapping = createSchemaWithSerializeFn(array_type.getNestedType(), type_name_increment, column_name);
|
||||
auto schema = avro::ArraySchema(nested_mapping.schema);
|
||||
return {schema, [nested_mapping](const IColumn & column, size_t row_num, avro::Encoder & encoder)
|
||||
{
|
||||
@ -249,7 +285,7 @@ AvroSerializer::SchemaWithSerializeFn AvroSerializer::createSchemaWithSerializeF
|
||||
case TypeIndex::Nullable:
|
||||
{
|
||||
auto nested_type = removeNullable(data_type);
|
||||
auto nested_mapping = createSchemaWithSerializeFn(nested_type, type_name_increment);
|
||||
auto nested_mapping = createSchemaWithSerializeFn(nested_type, type_name_increment, column_name);
|
||||
if (nested_type->getTypeId() == TypeIndex::Nothing)
|
||||
{
|
||||
return nested_mapping;
|
||||
@ -278,7 +314,7 @@ AvroSerializer::SchemaWithSerializeFn AvroSerializer::createSchemaWithSerializeF
|
||||
case TypeIndex::LowCardinality:
|
||||
{
|
||||
const auto & nested_type = removeLowCardinality(data_type);
|
||||
auto nested_mapping = createSchemaWithSerializeFn(nested_type, type_name_increment);
|
||||
auto nested_mapping = createSchemaWithSerializeFn(nested_type, type_name_increment, column_name);
|
||||
return {nested_mapping.schema, [nested_mapping](const IColumn & column, size_t row_num, avro::Encoder & encoder)
|
||||
{
|
||||
const auto & col = assert_cast<const ColumnLowCardinality &>(column);
|
||||
@ -294,7 +330,8 @@ AvroSerializer::SchemaWithSerializeFn AvroSerializer::createSchemaWithSerializeF
|
||||
}
|
||||
|
||||
|
||||
AvroSerializer::AvroSerializer(const ColumnsWithTypeAndName & columns)
|
||||
AvroSerializer::AvroSerializer(const ColumnsWithTypeAndName & columns, std::unique_ptr<AvroSerializerTraits> traits_)
|
||||
: traits(std::move(traits_))
|
||||
{
|
||||
avro::RecordSchema record_schema("row");
|
||||
|
||||
@ -303,7 +340,7 @@ AvroSerializer::AvroSerializer(const ColumnsWithTypeAndName & columns)
|
||||
{
|
||||
try
|
||||
{
|
||||
auto field_mapping = createSchemaWithSerializeFn(column.type, type_name_increment);
|
||||
auto field_mapping = createSchemaWithSerializeFn(column.type, type_name_increment, column.name);
|
||||
serialize_fns.push_back(field_mapping.serialize);
|
||||
//TODO: verify name starts with A-Za-z_
|
||||
record_schema.addField(column.name, field_mapping.schema);
|
||||
@ -314,7 +351,7 @@ AvroSerializer::AvroSerializer(const ColumnsWithTypeAndName & columns)
|
||||
throw;
|
||||
}
|
||||
}
|
||||
schema.setSchema(record_schema);
|
||||
valid_schema.setSchema(record_schema);
|
||||
}
|
||||
|
||||
void AvroSerializer::serializeRow(const Columns & columns, size_t row_num, avro::Encoder & encoder)
|
||||
@ -350,7 +387,7 @@ AvroRowOutputFormat::AvroRowOutputFormat(
|
||||
WriteBuffer & out_, const Block & header_, const RowOutputFormatParams & params_, const FormatSettings & settings_)
|
||||
: IRowOutputFormat(header_, out_, params_)
|
||||
, settings(settings_)
|
||||
, serializer(header_.getColumnsWithTypeAndName())
|
||||
, serializer(header_.getColumnsWithTypeAndName(), std::make_unique<AvroSerializerTraits>(settings))
|
||||
, file_writer(
|
||||
std::make_unique<OutputStreamWriteBufferAdapter>(out_),
|
||||
serializer.getSchema(),
|
||||
|
||||
@ -18,11 +18,13 @@ namespace DB
|
||||
{
|
||||
class WriteBuffer;
|
||||
|
||||
class AvroSerializerTraits;
|
||||
|
||||
class AvroSerializer
|
||||
{
|
||||
public:
|
||||
AvroSerializer(const ColumnsWithTypeAndName & columns);
|
||||
const avro::ValidSchema & getSchema() const { return schema; }
|
||||
AvroSerializer(const ColumnsWithTypeAndName & columns, std::unique_ptr<AvroSerializerTraits>);
|
||||
const avro::ValidSchema & getSchema() const { return valid_schema; }
|
||||
void serializeRow(const Columns & columns, size_t row_num, avro::Encoder & encoder);
|
||||
|
||||
private:
|
||||
@ -34,10 +36,11 @@ private:
|
||||
};
|
||||
|
||||
/// Type names for different complex types (e.g. enums, fixed strings) must be unique. We use simple incremental number to give them different names.
|
||||
static SchemaWithSerializeFn createSchemaWithSerializeFn(DataTypePtr data_type, size_t & type_name_increment);
|
||||
/*static*/ SchemaWithSerializeFn createSchemaWithSerializeFn(DataTypePtr data_type, size_t & type_name_increment, const String & column_name);
|
||||
|
||||
std::vector<SerializeFn> serialize_fns;
|
||||
avro::ValidSchema schema;
|
||||
avro::ValidSchema valid_schema;
|
||||
std::unique_ptr<AvroSerializerTraits> traits;
|
||||
};
|
||||
|
||||
class AvroRowOutputFormat : public IRowOutputFormat
|
||||
|
||||
@ -180,11 +180,9 @@ void JoiningTransform::transform(Chunk & chunk)
|
||||
Block JoiningTransform::readExecute(Chunk & chunk)
|
||||
{
|
||||
Block res;
|
||||
// std::cerr << "=== Chunk rows " << chunk.getNumRows() << " cols " << chunk.getNumColumns() << std::endl;
|
||||
|
||||
if (!not_processed)
|
||||
{
|
||||
// std::cerr << "!not_processed " << std::endl;
|
||||
if (chunk.hasColumns())
|
||||
res = inputs.front().getHeader().cloneWithColumns(chunk.detachColumns());
|
||||
|
||||
@ -193,7 +191,6 @@ Block JoiningTransform::readExecute(Chunk & chunk)
|
||||
}
|
||||
else if (not_processed->empty()) /// There's not processed data inside expression.
|
||||
{
|
||||
// std::cerr << "not_processed->empty() " << std::endl;
|
||||
if (chunk.hasColumns())
|
||||
res = inputs.front().getHeader().cloneWithColumns(chunk.detachColumns());
|
||||
|
||||
@ -202,12 +199,10 @@ Block JoiningTransform::readExecute(Chunk & chunk)
|
||||
}
|
||||
else
|
||||
{
|
||||
// std::cerr << "not not_processed->empty() " << std::endl;
|
||||
res = std::move(not_processed->block);
|
||||
join->joinBlock(res, not_processed);
|
||||
}
|
||||
|
||||
// std::cerr << "Res block rows " << res.rows() << " cols " << res.columns() << std::endl;
|
||||
return res;
|
||||
}
|
||||
|
||||
|
||||
@ -139,7 +139,9 @@ public:
|
||||
}
|
||||
|
||||
const Columns & inputAt(const RowNumber & x) const
|
||||
{ return const_cast<WindowTransform *>(this)->inputAt(x); }
|
||||
{
|
||||
return const_cast<WindowTransform *>(this)->inputAt(x);
|
||||
}
|
||||
|
||||
auto & blockAt(const uint64_t block_number)
|
||||
{
|
||||
@ -149,13 +151,19 @@ public:
|
||||
}
|
||||
|
||||
const auto & blockAt(const uint64_t block_number) const
|
||||
{ return const_cast<WindowTransform *>(this)->blockAt(block_number); }
|
||||
{
|
||||
return const_cast<WindowTransform *>(this)->blockAt(block_number);
|
||||
}
|
||||
|
||||
auto & blockAt(const RowNumber & x)
|
||||
{ return blockAt(x.block); }
|
||||
{
|
||||
return blockAt(x.block);
|
||||
}
|
||||
|
||||
const auto & blockAt(const RowNumber & x) const
|
||||
{ return const_cast<WindowTransform *>(this)->blockAt(x); }
|
||||
{
|
||||
return const_cast<WindowTransform *>(this)->blockAt(x);
|
||||
}
|
||||
|
||||
size_t blockRowsNumber(const RowNumber & x) const
|
||||
{
|
||||
@ -225,10 +233,14 @@ public:
|
||||
}
|
||||
|
||||
RowNumber blocksEnd() const
|
||||
{ return RowNumber{first_block_number + blocks.size(), 0}; }
|
||||
{
|
||||
return RowNumber{first_block_number + blocks.size(), 0};
|
||||
}
|
||||
|
||||
RowNumber blocksBegin() const
|
||||
{ return RowNumber{first_block_number, 0}; }
|
||||
{
|
||||
return RowNumber{first_block_number, 0};
|
||||
}
|
||||
|
||||
public:
|
||||
/*
|
||||
|
||||
@ -676,14 +676,16 @@ void StorageMerge::convertingSourceStream(
|
||||
auto convert_actions_dag = ActionsDAG::makeConvertingActions(pipe.getHeader().getColumnsWithTypeAndName(),
|
||||
header.getColumnsWithTypeAndName(),
|
||||
ActionsDAG::MatchColumnsMode::Name);
|
||||
auto actions = std::make_shared<ExpressionActions>(convert_actions_dag, ExpressionActionsSettings::fromContext(local_context, CompileExpressions::yes));
|
||||
auto actions = std::make_shared<ExpressionActions>(
|
||||
convert_actions_dag,
|
||||
ExpressionActionsSettings::fromContext(local_context, CompileExpressions::yes));
|
||||
|
||||
pipe.addSimpleTransform([&](const Block & stream_header)
|
||||
{
|
||||
return std::make_shared<ExpressionTransform>(stream_header, actions);
|
||||
});
|
||||
}
|
||||
|
||||
|
||||
auto where_expression = query->as<ASTSelectQuery>()->where();
|
||||
|
||||
if (!where_expression)
|
||||
|
||||
@ -40,7 +40,6 @@ void StorageSystemSettings::fillData(MutableColumns & res_columns, ContextPtr co
|
||||
|
||||
Field min, max;
|
||||
bool read_only = false;
|
||||
if (settings_constraints)
|
||||
settings_constraints->get(setting_name, min, max, read_only);
|
||||
|
||||
/// These two columns can accept strings only.
|
||||
|
||||
@ -0,0 +1,54 @@
|
||||
import pytest
|
||||
|
||||
from helpers.cluster import ClickHouseCluster
|
||||
|
||||
cluster = ClickHouseCluster(__file__, name="cte_distributed")
|
||||
node1 = cluster.add_instance('node1', with_zookeeper=False)
|
||||
node2 = cluster.add_instance('node2',
|
||||
with_zookeeper=False, image='yandex/clickhouse-server', tag='21.7.3.14', stay_alive=True,
|
||||
with_installed_binary=True)
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def start_cluster():
|
||||
try:
|
||||
cluster.start()
|
||||
yield cluster
|
||||
|
||||
finally:
|
||||
cluster.shutdown()
|
||||
|
||||
|
||||
|
||||
def test_cte_distributed(start_cluster):
|
||||
node2.query("""
|
||||
WITH
|
||||
quantile(0.05)(cnt) as p05,
|
||||
quantile(0.95)(cnt) as p95,
|
||||
p95 - p05 as inter_percentile_range
|
||||
SELECT
|
||||
sum(cnt) as total_requests,
|
||||
count() as data_points,
|
||||
inter_percentile_range
|
||||
FROM (
|
||||
SELECT
|
||||
count() as cnt
|
||||
FROM remote('node{1,2}', numbers(10))
|
||||
GROUP BY number
|
||||
)""")
|
||||
|
||||
node1.query("""
|
||||
WITH
|
||||
quantile(0.05)(cnt) as p05,
|
||||
quantile(0.95)(cnt) as p95,
|
||||
p95 - p05 as inter_percentile_range
|
||||
SELECT
|
||||
sum(cnt) as total_requests,
|
||||
count() as data_points,
|
||||
inter_percentile_range
|
||||
FROM (
|
||||
SELECT
|
||||
count() as cnt
|
||||
FROM remote('node{1,2}', numbers(10))
|
||||
GROUP BY number
|
||||
)""")
|
||||
@ -1,5 +1,8 @@
|
||||
import pytest
|
||||
import time
|
||||
import logging
|
||||
from helpers.cluster import ClickHouseCluster
|
||||
from helpers.test_tools import assert_eq_with_retry
|
||||
|
||||
cluster = ClickHouseCluster(__file__)
|
||||
instance = cluster.add_instance('instance')
|
||||
@ -38,3 +41,46 @@ def test_grant_create_user():
|
||||
instance.query("GRANT CREATE USER ON *.* TO A")
|
||||
instance.query("CREATE USER B", user='A')
|
||||
assert instance.query("SELECT 1", user='B') == "1\n"
|
||||
|
||||
|
||||
def test_login_as_dropped_user():
|
||||
for _ in range(0, 2):
|
||||
instance.query("CREATE USER A")
|
||||
assert instance.query("SELECT 1", user='A') == "1\n"
|
||||
|
||||
instance.query("DROP USER A")
|
||||
expected_error = "no user with such name"
|
||||
assert expected_error in instance.query_and_get_error("SELECT 1", user='A')
|
||||
|
||||
|
||||
def test_login_as_dropped_user_xml():
|
||||
for _ in range(0, 2):
|
||||
instance.exec_in_container(["bash", "-c" , """
|
||||
cat > /etc/clickhouse-server/users.d/user_c.xml << EOF
|
||||
<?xml version="1.0"?>
|
||||
<yandex>
|
||||
<users>
|
||||
<C>
|
||||
<no_password/>
|
||||
</C>
|
||||
</users>
|
||||
</yandex>
|
||||
EOF"""])
|
||||
|
||||
assert_eq_with_retry(instance, "SELECT name FROM system.users WHERE name='C'", "C")
|
||||
|
||||
instance.exec_in_container(["bash", "-c" , "rm /etc/clickhouse-server/users.d/user_c.xml"])
|
||||
|
||||
expected_error = "no user with such name"
|
||||
while True:
|
||||
out, err = instance.query_and_get_answer_with_error("SELECT 1", user='C')
|
||||
if expected_error in err:
|
||||
logging.debug(f"Got error '{expected_error}' just as expected")
|
||||
break
|
||||
if out == "1\n":
|
||||
logging.debug(f"Got output '1', retrying...")
|
||||
time.sleep(0.5)
|
||||
continue
|
||||
raise Exception(f"Expected either output '1' or error '{expected_error}', got output={out} and error={err}")
|
||||
|
||||
assert instance.query("SELECT name FROM system.users WHERE name='C'") == ""
|
||||
|
||||
@ -114,5 +114,5 @@ def test_multiple_endpoint_connections_count(start_big_cluster):
|
||||
assert_eq_with_retry(node4, "select count() from test_table", "100")
|
||||
assert_eq_with_retry(node5, "select count() from test_table", "100")
|
||||
|
||||
# two per each host
|
||||
assert node5.query("SELECT value FROM system.events where event='CreatedHTTPConnections'") == '4\n'
|
||||
# Two per each host or sometimes less, if fetches are not performed in parallel. But not more.
|
||||
assert node5.query("SELECT value FROM system.events where event='CreatedHTTPConnections'") <= '4\n'
|
||||
|
||||
@ -1,2 +1,2 @@
|
||||
SELECT count() FROM remote('127.0.0.1,localhos', system.one); -- { serverError 279 }
|
||||
SELECT count() FROM remote('127.0.0.1,localhos', system.one); -- { serverError 198 }
|
||||
SELECT count() FROM remote('127.0.0.1|localhos', system.one);
|
||||
|
||||
@ -58,3 +58,9 @@ not found
|
||||
0
|
||||
1000
|
||||
147
|
||||
= string column pattern
|
||||
"русская строка"
|
||||
Ok
|
||||
1 0
|
||||
1 1
|
||||
1 1
|
||||
|
||||
@ -89,3 +89,22 @@ ${CLICKHOUSE_LOCAL} -q "select toInt64(number) as a from numbers(1000) format A
|
||||
|
||||
# type supported via conversion
|
||||
${CLICKHOUSE_LOCAL} -q "select toInt16(123) as a format Avro" | wc -c | tr -d ' '
|
||||
|
||||
echo '=' string column pattern
|
||||
${CLICKHOUSE_LOCAL} -q "select 'русская строка' as a format Avro SETTINGS output_format_avro_string_column_pattern = 'a'" | ${CLICKHOUSE_LOCAL} --input-format Avro --output-format CSV -S "a String" -q 'select * from table'
|
||||
|
||||
# it is expected that invalid UTF-8 can be created
|
||||
${CLICKHOUSE_LOCAL} -q "select '\x61\xF0\x80\x80\x80b' as a format Avro" > /dev/null && echo Ok
|
||||
|
||||
A_NEEDLE="'\"name\":\"a\",\"type\":\"string\"'"
|
||||
B_NEEDLE="'\"name\":\"b\",\"type\":\"string\"'"
|
||||
PATTERNQUERY="select 'русская строка' as a, 'русская строка' as b format Avro SETTINGS output_format_avro_string_column_pattern ="
|
||||
|
||||
PATTERNPATTERN="'a'"
|
||||
${CLICKHOUSE_LOCAL} -q "$PATTERNQUERY $PATTERNPATTERN" | tr -d '\n' | ${CLICKHOUSE_LOCAL} --structure "avro_raw String" --input-format LineAsString -q "select countSubstrings(avro_raw, $A_NEEDLE), countSubstrings(avro_raw, $B_NEEDLE) from table"
|
||||
|
||||
PATTERNPATTERN="'a|b'"
|
||||
${CLICKHOUSE_LOCAL} -q "$PATTERNQUERY $PATTERNPATTERN" | tr -d '\n' | ${CLICKHOUSE_LOCAL} --structure "avro_raw String" --input-format LineAsString -q "select countSubstrings(avro_raw, $A_NEEDLE), countSubstrings(avro_raw, $B_NEEDLE) from table"
|
||||
|
||||
PATTERNPATTERN="'.*'"
|
||||
${CLICKHOUSE_LOCAL} -q "$PATTERNQUERY $PATTERNPATTERN" | tr -d '\n' | ${CLICKHOUSE_LOCAL} --structure "avro_raw String" --input-format LineAsString -q "select countSubstrings(avro_raw, $A_NEEDLE), countSubstrings(avro_raw, $B_NEEDLE) from table"
|
||||
|
||||
@ -41,7 +41,7 @@ expect ":) "
|
||||
send -- ""
|
||||
expect eof
|
||||
|
||||
spawn bash -c "source $basedir/../shell_config.sh ; \$CLICKHOUSE_CLIENT_BINARY \$CLICKHOUSE_CLIENT_OPT"
|
||||
spawn bash -c "source $basedir/../shell_config.sh ; \$CLICKHOUSE_CLIENT_BINARY \$CLICKHOUSE_CLIENT_OPT --disable_suggestion --multiline"
|
||||
expect ":) "
|
||||
|
||||
send -- "SELECT 1;\r"
|
||||
@ -0,0 +1,16 @@
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
1
|
||||
19
tests/queries/0_stateless/01943_pmj_non_joined_stuck.sql
Normal file
19
tests/queries/0_stateless/01943_pmj_non_joined_stuck.sql
Normal file
@ -0,0 +1,19 @@
|
||||
SET max_block_size = 6, join_algorithm = 'partial_merge';
|
||||
|
||||
SELECT count() == 4 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 5 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 6 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 7 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 8 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 9 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3, 3]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 10 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3, 3, 3]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 11 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 12 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 13 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 14 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 15 FROM (SELECT 1 AS s) AS js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3]) AS s) AS js2 USING (s);
|
||||
|
||||
SELECT count() == 8 FROM (SELECT 1 AS s) AS js1 FULL JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 9 FROM (SELECT 1 AS s) AS js1 FULL JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 10 FROM (SELECT 1 AS s) AS js1 FULL JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3, 3]) AS s) AS js2 USING (s);
|
||||
SELECT count() == 11 FROM (SELECT 1 AS s) AS js1 FULL JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3, 3, 3]) AS s) AS js2 USING (s);
|
||||
@ -0,0 +1,2 @@
|
||||
1
|
||||
2
|
||||
18
tests/queries/0_stateless/01946_test_wrong_host_name_access.sh
Executable file
18
tests/queries/0_stateless/01946_test_wrong_host_name_access.sh
Executable file
@ -0,0 +1,18 @@
|
||||
#!/usr/bin/env bash
|
||||
|
||||
MYHOSTNAME=$(hostname -f)
|
||||
|
||||
CUR_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
# shellcheck source=../shell_config.sh
|
||||
. "$CUR_DIR"/../shell_config.sh
|
||||
|
||||
${CLICKHOUSE_CLIENT} --multiquery --query "
|
||||
DROP USER IF EXISTS dns_fail_1, dns_fail_2;
|
||||
CREATE USER dns_fail_1 HOST NAME 'non.existing.host.name', '${MYHOSTNAME}';
|
||||
CREATE USER dns_fail_2 HOST NAME '${MYHOSTNAME}', 'non.existing.host.name';"
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query "SELECT 1" --user dns_fail_1 --host ${MYHOSTNAME}
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query "SELECT 2" --user dns_fail_2 --host ${MYHOSTNAME}
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query "DROP USER IF EXISTS dns_fail_1, dns_fail_2"
|
||||
@ -514,6 +514,7 @@
|
||||
"01915_create_or_replace_dictionary",
|
||||
"01925_test_storage_merge_aliases",
|
||||
"01933_client_replxx_convert_history", /// Uses non unique history file
|
||||
"01902_table_function_merge_db_repr"
|
||||
"01902_table_function_merge_db_repr",
|
||||
"01946_test_wrong_host_name_access"
|
||||
]
|
||||
}
|
||||
|
||||
@ -1,5 +1,6 @@
|
||||
v21.7.3.14-stable 2021-07-13
|
||||
v21.7.2.7-stable 2021-07-09
|
||||
v21.6.8.62-stable 2021-07-13
|
||||
v21.6.7.57-stable 2021-07-09
|
||||
v21.6.6.51-stable 2021-07-02
|
||||
v21.6.5.37-stable 2021-06-19
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user