What to do if the redis memory is full

When Redis memory is full: Clean up unwanted data to increase memory size of Redis instances using persistence optimization data structures to reduce client connection monitoring and adjustment

Solution to Redis memory full

When Redis's memory is full, there will be problems such as performance degradation and data loss. There are several ways to solve this problem:

1. Clear unwanted data

• Delete expiration data regularly and use the EXPIRE or TTL command to set the expiration time of the key.
• Delete large datasets that are no longer needed, using the DEL command.
• Use the SCAN command to traverse the database and delete unnecessary keys.

2. Increase the memory size of the Redis instance

• If possible, add the maxmemory configuration of the Redis instance to allow it to store more data.
• Consider using a Redis cluster, spreading data across multiple instances.

3. Use persistence

• Enable persistence, such as RDB or AOF, to save data to disk periodically. This allows data to be recovered from disk when memory is insufficient.
• Use external storage, such as Amazon ElastiCache or AWS Redis, which provides persistence and automatic scaling.

4. Optimize the data structure

• Use more compact data structures, such as hash tables or collections, rather than strings.
• Divide large datasets into smaller keys to reduce memory usage.
• Avoid using large numbers of lists or hash table nesting.

5. Reduce client connections

• Limit the number of clients connected simultaneously to reduce memory pressure on Redis servers.
• Implement client connection pooling to optimize connection management.
• Use pipeline or multiplexing techniques to maximize the processing efficiency of client requests.

6. Monitoring and Adjustment

• Regularly monitor Redis's memory usage and take timely measures to clean or expand resources.
• Adjust Redis configurations, such as maxmemory-policy and maxmemory-samples , to optimize memory management.
• Consider using Redis Sentinel or third-party tools for automatic failover and troubleshooting.

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