How to deal with redis breakdown

How to deal with Redis breakdown: Use distributed locks to lock to ensure that only one request is created; enable cache penetration policy to return default values ​​or error messages; create keys asynchronously to avoid affecting main thread performance; preload hotspot keys; optimize Redis configuration to enhance stability; use Redis clusters to reduce the probability of breakdown.

How to deal with Redis breakdown

Redis breakdown refers to the performance degradation or even crashes when a large number of requests access to the same non-existent key at the same time due to the creation of multiple keys at the same time.

How to deal with it:

1. Use distributed locks:

• Before accessing a non-existent key, use a distributed lock to lock the key.
• Only requests that obtain the lock can continue to create the key, and other requests will wait for the lock to be released.
• This ensures that there is only one request to create a key and avoid breakdown.

2. Use cache penetration strategy:

• When accessing a non-existent key, a default value or error message is returned.
• This prevents the Redis server from performing a lot of meaningless operations.

3. Use asynchronous tasks:

• Put the creation of the key into an asynchronous task.
• The main thread does not wait for the key creation to complete, thereby avoiding the impact of breakdown on the main thread's performance.

4. Preload using hotspot key:

• Preload the hotspot key into Redis in advance.
• This avoids a large number of requests to access non-existent keys simultaneously.

5. Optimize Redis configuration:

• Tune the configuration parameters of Redis, such as maxclients and maxmemory, to improve the stability of the Redis server.

6. Using Redis cluster:

• By distributing data across multiple nodes using Redis clusters, the probability of a single section click through can be reduced.

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