mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-12-02 20:42:04 +00:00
94 lines
4.6 KiB
Markdown
94 lines
4.6 KiB
Markdown
---
|
||
toc_priority: 47
|
||
toc_title: OPTIMIZE
|
||
---
|
||
|
||
# OPTIMIZE Statement {#misc_operations-optimize}
|
||
|
||
This query tries to initialize an unscheduled merge of data parts for tables.
|
||
|
||
!!! warning "Warning"
|
||
`OPTIMIZE` can’t fix the `Too many parts` error.
|
||
|
||
**Syntax**
|
||
|
||
``` sql
|
||
OPTIMIZE TABLE [db.]name [ON CLUSTER cluster] [PARTITION partition | PARTITION ID 'partition_id'] [FINAL] [DEDUPLICATE [BY expression]]
|
||
```
|
||
|
||
The `OPTMIZE` query is supported for [MergeTree](../../engines/table-engines/mergetree-family/mergetree.md) family, the [MaterializedView](../../engines/table-engines/special/materializedview.md) and the [Buffer](../../engines/table-engines/special/buffer.md) engines. Other table engines aren’t supported.
|
||
|
||
When `OPTIMIZE` is used with the [ReplicatedMergeTree](../../engines/table-engines/mergetree-family/replication.md) family of table engines, ClickHouse creates a task for merging and waits for execution on all nodes (if the `replication_alter_partitions_sync` setting is enabled).
|
||
|
||
- If `OPTIMIZE` doesn’t perform a merge for any reason, it doesn’t notify the client. To enable notifications, use the [optimize_throw_if_noop](../../operations/settings/settings.md#setting-optimize_throw_if_noop) setting.
|
||
- If you specify a `PARTITION`, only the specified partition is optimized. [How to set partition expression](../../sql-reference/statements/alter/index.md#alter-how-to-specify-part-expr).
|
||
- If you specify `FINAL`, optimization is performed even when all the data is already in one part. Also merge is forced even if concurrent merges are performed.
|
||
- If you specify `DEDUPLICATE`, then completely identical rows (unless by-clause is specified) will be deduplicated (all columns are compared), it makes sense only for the MergeTree engine.
|
||
|
||
|
||
## BY expression {#by-expression}
|
||
|
||
If you want to perform deduplication on custom set of columns rather than on all, you can specify list of columns explicitly or use any combination of [`*`](../../sql-reference/statements/select/index.md#asterisk), [`COLUMNS`](../../sql-reference/statements/select/index.md#columns-expression) or [`EXCEPT`](../../sql-reference/statements/select/index.md#except-modifier) expressions. The explictly written or implicitly expanded list of columns must include all columns specified in row ordering expression (both primary and sorting keys) and partitioning expression (partitioning key).
|
||
|
||
!!! note "Note"
|
||
Notice that `*` behaves just like in `SELECT`: `MATERIALIZED` and `ALIAS` columns are not used for expansion.
|
||
Also, it is an error to specify empty list of columns, or write an expression that results in an empty list of columns, or deduplicate by an ALIAS column.
|
||
|
||
``` sql
|
||
OPTIMIZE TABLE table DEDUPLICATE; -- the old one
|
||
OPTIMIZE TABLE table DEDUPLICATE BY *; -- not the same as the old one, excludes MATERIALIZED columns (see the note above)
|
||
OPTIMIZE TABLE table DEDUPLICATE BY * EXCEPT colX;
|
||
OPTIMIZE TABLE table DEDUPLICATE BY * EXCEPT (colX, colY);
|
||
OPTIMIZE TABLE table DEDUPLICATE BY col1,col2,col3;
|
||
OPTIMIZE TABLE table DEDUPLICATE BY COLUMNS('column-matched-by-regex');
|
||
OPTIMIZE TABLE table DEDUPLICATE BY COLUMNS('column-matched-by-regex') EXCEPT colX;
|
||
OPTIMIZE TABLE table DEDUPLICATE BY COLUMNS('column-matched-by-regex') EXCEPT (colX, colY);
|
||
```
|
||
|
||
**Examples**
|
||
|
||
Create a table:
|
||
|
||
``` sql
|
||
CREATE TABLE example (
|
||
primary_key Int32,
|
||
secondary_key Int32,
|
||
value UInt32,
|
||
partition_key UInt32,
|
||
materialized_value UInt32 MATERIALIZED 12345,
|
||
aliased_value UInt32 ALIAS 2,
|
||
PRIMARY KEY primary_key
|
||
) ENGINE=MergeTree
|
||
PARTITION BY partition_key
|
||
ORDER BY (primary_key, secondary_key);
|
||
```
|
||
|
||
The 'old' deduplicate, all columns are taken into account, i.e. row is removed only if all values in all columns are equal to corresponding values in previous row.
|
||
|
||
``` sql
|
||
OPTIMIZE TABLE example FINAL DEDUPLICATE;
|
||
```
|
||
|
||
Deduplicate by all columns that are not `ALIAS` or `MATERIALIZED`: `primary_key`, `secondary_key`, `value`, `partition_key`, and `materialized_value` columns.
|
||
|
||
``` sql
|
||
OPTIMIZE TABLE example FINAL DEDUPLICATE BY *;
|
||
```
|
||
|
||
Deduplicate by all columns that are not `ALIAS` or `MATERIALIZED` and explicitly not `materialized_value`: `primary_key`, `secondary_key`, `value`, and `partition_key` columns.
|
||
|
||
``` sql
|
||
OPTIMIZE TABLE example FINAL DEDUPLICATE BY * EXCEPT materialized_value;
|
||
```
|
||
|
||
Deduplicate explicitly by `primary_key`, `secondary_key`, and `partition_key` columns.
|
||
``` sql
|
||
OPTIMIZE TABLE example FINAL DEDUPLICATE BY primary_key, secondary_key, partition_key;
|
||
```
|
||
|
||
Deduplicate by any column matching a regex: `primary_key`, `secondary_key`, and `partition_key` columns.
|
||
|
||
``` sql
|
||
OPTIMIZE TABLE example FINAL DEDUPLICATE BY COLUMNS('.*_key');
|
||
```
|