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HomeDatabaseRedisHow to unlock the full memory of Redis

Solutions to Redis full memory problems include: Identify the cause of full memory: Slow client memory leak configuration errors Take a solution: Reduce dataset optimization client performance Fix memory leak Adjust maxmemory configuration Avoid emergency situations: Enable LRU expulsion policy Use AOF persistence settings notifications

How to unlock the full memory of Redis

Redis full memory solution

When Redis memory usage reaches or exceeds the maximum memory limit, Redis will be full. At this point, Redis will stop receiving new write requests and return to the client ERR out of memory error.

1. Identify the reason for full memory

It is crucial to determine the root cause of Redis full memory. Here are some common reasons:

  • Large data sets: Redis stores more data than available memory space.
  • Slow Client: The client is slow to process data returned by Redis, causing data to accumulate in the Redis buffer.
  • Memory Leak: There is a memory error or leak in Redis that causes the memory to be misallocated or retained.
  • Configuration error: maxmemory configuration value is set too low to accommodate the required data.

2. Take a solution

Depending on the reasons that cause full memory, the following solutions can be taken:

  • Reduce datasets: Delete unnecessary or expired keys, or migrate data to other data stores.
  • Optimize client performance: Improve the way clients process Redis responses and reduce buffer backlog.
  • Fix Memory Leaks: Use memory debugging tools or analyze Redis logs to identify and fix any memory leaks.
  • Adjust maxmemory configuration: Appropriately increase maxmemory configuration value according to the amount of data required in Redis.

3. Avoid emergency situations

In addition to the above measures, the following steps can be taken to avoid emergency situations where Redis is full of memory:

  • Enable LRU Evicted Policy: Redis uses LRU by default (latest used) Evicted Policy, and automatically expels the least commonly used keys when there is insufficient memory.
  • Using AOF Persistence: Enable AOF (Append only) persistence, Redis can restore data by restoring AOF in the event of a full memory error.
  • Setting Up Notifications: Configure Redis to send notifications when memory usage reaches a specific threshold to take action early.

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