3.0 KiB
slug | sidebar_position | sidebar_label |
---|---|---|
/en/engines/table-engines/integrations/redis | 43 | Redis |
Redis
This engine allows integrating ClickHouse with Redis. For Redis takes kv model, we strongly recommend you only query it in a point way, such as where k=xx
or where k in (xx, xx)
.
Creating a Table
CREATE TABLE [IF NOT EXISTS] [db.]table_name
(
name1 [type1],
name2 [type2],
...
) ENGINE = Redis(host:port[, db_index[, password[, pool_size]]]) PRIMARY KEY(primary_key_name);
Engine Parameters
-
host:port
— Redis server address, you can ignore port and default Redis port 6379 will be used. -
db_index
— Redis db index range from 0 to 15, default is 0. -
password
— User password, default is blank string. -
pool_size
— Redis max connection pool size, default is 16. -
primary_key_name
- any column name in the column list. -
primary
must be specified, it supports only one column in the primary key. The primary key will be serialized in binary as a Redis key. -
columns other than the primary key will be serialized in binary as Redis value in corresponding order.
-
queries with key equals or in filtering will be optimized to multi keys lookup from Redis. If queries without filtering key full table scan will happen which is a heavy operation.
Usage Example
Create a table in ClickHouse which allows to read data from Redis:
CREATE TABLE redis_table
(
`k` String,
`m` String,
`n` UInt32
)
ENGINE = Redis('redis1:6379') PRIMARY KEY(k);
Insert:
INSERT INTO redis_table Values('1', 1, '1', 1.0), ('2', 2, '2', 2.0);
Query:
SELECT COUNT(*) FROM redis_table;
┌─count()─┐
│ 2 │
└─────────┘
SELECT * FROM redis_table WHERE key='1';
┌─key─┬─v1─┬─v2─┬─v3─┐
│ 1 │ 1 │ 1 │ 1 │
└─────┴────┴────┴────┘
SELECT * FROM redis_table WHERE v1=2;
┌─key─┬─v1─┬─v2─┬─v3─┐
│ 2 │ 2 │ 2 │ 2 │
└─────┴────┴────┴────┘
Update:
Note that the primary key cannot be updated.
ALTER TABLE redis_table UPDATE v1=2 WHERE key='1';
Delete:
ALTER TABLE redis_table DELETE WHERE key='1';
Truncate:
Flush Redis db asynchronously. Also Truncate
support SYNC mode.
TRUNCATE TABLE redis_table SYNC;
Limitations
Redis engine also supports scanning queries, such as where k > xx
, but it has some limitations:
- Scanning query may produce some duplicated keys in a very rare case when it is rehashing. See details in Redis Scan
- During the scanning, keys could be created and deleted, so the resulting dataset can not represent a valid point in time.