Redis memory full processing method
When Redis memory is full, there are several ways to solve it:
1. Evicting Strategy
Redis provides a variety of eviction strategies that automatically eliminate data when memory is full. Common strategies include:
- volatile-lru: The least used key-value pair recently
- volatile-ttl: The longest expired key-value pair
- allkeys-lru: any key-value pair, eliminated according to LRU rules
- allkeys-random: any key-value pair, eliminated according to random rules
2. Turn up maxmemory
maxmemory is the maximum memory limit set in the Redis configuration. Consider turning maxmemory up to provide more available memory for Redis. However, this requires that the server has enough physical memory to support it.
3. Enable memory phasing
When memory phasing is enabled, Redis will automatically evict key-value pairs when memory is insufficient. It can be enabled by:
<code>config set maxmemory-policy noeviction</code>
4. Manually delete data
You can manually delete unnecessary key-value pairs and free up memory. Use the following command to delete a single key:
<code>del key</code>
Or use the following command to delete all keys:
<code>flushall</code>
5. Use persistence
Redis can persist data to hard disk or other media. This frees up memory while ensuring data security. Persistence can be enabled with the following command:
<code>save</code>
6. Upgrade the Redis version
Newer Redis versions have more efficient memory management. Upgrading to these versions can improve memory utilization.
Notes:
- Data eviction can lead to data loss, so be sure to weigh the pros and cons before implementing any eviction strategy.
- When adjusting maxmemory, consider the physical memory capacity of the server.
- Regularly monitor Redis memory usage to ensure timely preventive measures.
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