How to optimize memory with redis

To optimize Redis memory usage, you can take the following steps: Use appropriate data structures such as hash tables, lists, compressed lists, or hash tables. Enable compression to compress duplicate data. Use object sharing to store similar objects. Limit the number of keys and group the relative keys using hash tags. Delete expired keys and use persistence to prevent data loss. Use RDB or AOF as a persistence method to monitor memory usage and use a Redis memory server. Use space-efficient data structures, disable lazy expiration, and control the number of compressed list entries in zset.

Redis memory optimization

Redis is a high-performance in-memory database that is crucial to the efficiency of memory usage. To optimize memory usage of Redis, the following measures can be taken:

1. Use the appropriate data structure

• For smaller data sets, use efficient data structures such as hash tables (hash) or lists (ordered sets).
• For larger data sets, use more complex structures such as compressed lists or hash tables.

2. Compress data

• Enable Redis's compression feature, which can compress duplicate data in strings and lists.
• Use compression algorithms such as LZF, LZO or LZ4.

3. Use object sharing

• Store similar objects in Redis as much as possible to save space.
• Use the COPY command to copy the object instead of creating a new object.

4. Limit the number of keys

• Avoid creating too many keys, as each key consumes memory.
• Group the related keys using hash tags or prefixes.

5. Delete the expired key

• Use the EXPIRE command to set the expiration time for the key.
• Use the DEL command to periodically delete expired keys.

6. Use persistence

• Persist Redis data to disk to prevent data loss.
• But be aware that the persistence process consumes a lot of memory.

7. Use RDB/AOF

• RDB (snapshot) and AOF (append files only) are two ways of persisting Redis.
• RDB consumes a lot of memory when it comes to memory snapshots, while AOF has a lower memory overhead.

8. Monitor memory usage

• Use Redis's INFO command to monitor memory usage.
• Check memory usage regularly and adjust as needed.

9. Using Redis Memory Server

• For large-scale deployments, using a Redis memory server can provide greater memory capacity.

10. Other tips

• Use space-efficient data structures such as BITMAP or HyperLogLog.
• Disable Redis' lazy expiration feature to delete the expiration key immediately.
• Use the zset-max-ziplist-entries option to control the number of entries in the compressed list in zset.

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