ClickHouse/docs/en/engines/table-engines/integrations/redis.md
2023-06-16 15:22:47 -06:00

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---
slug: /en/engines/table-engines/integrations/redis
sidebar_position: 43
sidebar_label: Redis
---
# Redis
This engine allows integrating ClickHouse with [Redis](https://redis.io/). 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 {#creating-a-table}
``` sql
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 {#usage-example}
Create a table in ClickHouse which allows to read data from Redis:
``` sql
CREATE TABLE redis_table
(
`k` String,
`m` String,
`n` UInt32
)
ENGINE = Redis('redis1:6379') PRIMARY KEY(k);
```
Insert:
```sql
INSERT INTO redis_table Values('1', 1, '1', 1.0), ('2', 2, '2', 2.0);
```
Query:
``` sql
SELECT COUNT(*) FROM redis_table;
```
``` text
┌─count()─┐
│ 2 │
└─────────┘
```
``` sql
SELECT * FROM redis_table WHERE key='1';
```
```text
┌─key─┬─v1─┬─v2─┬─v3─┐
│ 1 │ 1 │ 1 │ 1 │
└─────┴────┴────┴────┘
```
``` sql
SELECT * FROM redis_table WHERE v1=2;
```
```text
┌─key─┬─v1─┬─v2─┬─v3─┐
│ 2 │ 2 │ 2 │ 2 │
└─────┴────┴────┴────┘
```
Update:
Note that the primary key cannot be updated.
```sql
ALTER TABLE redis_table UPDATE v1=2 WHERE key='1';
```
Delete:
```sql
ALTER TABLE redis_table DELETE WHERE key='1';
```
Truncate:
Flush Redis db asynchronously. Also `Truncate` support SYNC mode.
```sql
TRUNCATE TABLE redis_table SYNC;
```
## Limitations {#limitations}
Redis engine also supports scanning queries, such as `where k > xx`, but it has some limitations:
1. Scanning query may produce some duplicated keys in a very rare case when it is rehashing. See details in [Redis Scan](https://github.com/redis/redis/blob/e4d183afd33e0b2e6e8d1c79a832f678a04a7886/src/dict.c#L1186-L1269)
2. During the scanning, keys could be created and deleted, so the resulting dataset can not represent a valid point in time.