Merge pull request #46438 from ClickHouse/add-keeper-map-docs

Add docs for KeeperMap
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@ -76,6 +76,7 @@ Engines in the family:
- [View](../../engines/table-engines/special/view.md#table_engines-view)
- [Memory](../../engines/table-engines/special/memory.md#memory)
- [Buffer](../../engines/table-engines/special/buffer.md#buffer)
- [KeeperMap](../../engines/table-engines/special/keepermap.md)
## Virtual Columns {#table_engines-virtual_columns}

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</tables>
</rocksdb>
```
## Supported operations {#table_engine-EmbeddedRocksDB-supported-operations}
### Inserts
When new rows are inserted into `EmbeddedRocksDB`, if the key already exists, the value will be updated, otherwise a new key is created.
Example:
```sql
INSERT INTO test VALUES ('some key', 1, 'value', 3.2);
```
### Deletes
Rows can be deleted using `DELETE` query or `TRUNCATE`.
```sql
DELETE FROM test WHERE key LIKE 'some%' AND v1 > 1;
```
```sql
ALTER TABLE test DELETE WHERE key LIKE 'some%' AND v1 > 1;
```
```sql
TRUNCATE TABLE test;
```
### Updates
Values can be updated using the `ALTER TABLE` query. The primary key cannot be updated.
```sql
ALTER TABLE test UPDATE v1 = v1 * 10 + 2 WHERE key LIKE 'some%' AND v3 > 3.1;
```

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---
slug: /en/engines/table-engines/special/keeper-map
sidebar_position: 150
sidebar_label: KeeperMap
---
# KeeperMap {#keepermap}
This engine allows you to use Keeper/ZooKeeper cluster as consistent key-value store with linearizable writes and sequentially consistent reads.
To enable KeeperMap storage engine, you need to define a ZooKeeper path where the tables will be stored using `<keeper_map_path_prefix>` config.
For example:
```xml
<clickhouse>
<keeper_map_path_prefix>/keeper_map_tables</keeper_map_path_prefix>
</clickhouse>
```
where path can be any other valid ZooKeeper path.
## Creating a Table {#table_engine-KeeperMap-creating-a-table}
``` sql
CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
(
name1 [type1] [DEFAULT|MATERIALIZED|ALIAS expr1],
name2 [type2] [DEFAULT|MATERIALIZED|ALIAS expr2],
...
) ENGINE = KeeperMap(root_path, [keys_limit]) PRIMARY KEY(primary_key_name)
```
Engine parameters:
- `root_path` - ZooKeeper path where the `table_name` will be stored.
This path should not contain the prefix defined by `<keeper_map_path_prefix>` config because the prefix will be automatically appended to the `root_path`.
Additionally, format of `auxiliary_zookeper_cluster_name:/some/path` is also supported where `auxiliary_zookeper_cluster` is a ZooKeeper cluster defined inside `<auxiliary_zookeepers>` config.
By default, ZooKeeper cluster defined inside `<zookeeper>` config is used.
- `keys_limit` - number of keys allowed inside the table.
This limit is a soft limit and it can be possible that more keys will end up in the table for some edge cases.
- `primary_key_name` any column name in the column list.
- `primary key` must be specified, it supports only one column in the primary key. The primary key will be serialized in binary as a `node name` inside ZooKeeper.
- columns other than the primary key will be serialized to binary in corresponding order and stored as a value of the resulting node defined by the serialized key.
- queries with key `equals` or `in` filtering will be optimized to multi keys lookup from `Keeper`, otherwise all values will be fetched.
Example:
``` sql
CREATE TABLE keeper_map_table
(
`key` String,
`v1` UInt32,
`v2` String,
`v3` Float32
)
ENGINE = KeeperMap(/keeper_map_table, 4)
PRIMARY KEY key
```
with
```xml
<clickhouse>
<keeper_map_path_prefix>/keeper_map_tables</keeper_map_path_prefix>
</clickhouse>
```
Each value, which is binary serialization of `(v1, v2, v3)`, will be stored inside `/keeper_map_tables/keeper_map_table/data/serialized_key` in `Keeper`.
Additionally, number of keys will have a soft limit of 4 for the number of keys.
If multiple tables are created on the same ZooKeeper path, the values are persisted until there exists at least 1 table using it.
As a result, it is possible to use `ON CLUSTER` clause when creating the table and sharing the data from multiple ClickHouse instances.
Of course, it's possible to manually run `CREATE TABLE` with same path on nonrelated ClickHouse instances to have same data sharing effect.
## Supported operations {#table_engine-KeeperMap-supported-operations}
### Inserts
When new rows are inserted into `KeeperMap`, if the key already exists, the value will be updated, otherwise new key is created.
Example:
```sql
INSERT INTO keeper_map_table VALUES ('some key', 1, 'value', 3.2);
```
### Deletes
Rows can be deleted using `DELETE` query or `TRUNCATE`.
```sql
DELETE FROM keeper_map_table WHERE key LIKE 'some%' AND v1 > 1;
```
```sql
ALTER TABLE keeper_map_table DELETE WHERE key LIKE 'some%' AND v1 > 1;
```
```sql
TRUNCATE TABLE keeper_map_table;
```
### Updates
Values can be updated using `ALTER TABLE` query. Primary key cannot be updated.
```sql
ALTER TABLE keeper_map_table UPDATE v1 = v1 * 10 + 2 WHERE key LIKE 'some%' AND v3 > 3.1;
```