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This article mainly shows you "how to solve Redis cache penetration and cache avalanche problem". The content is simple and easy to understand, and the organization is clear. I hope it can help you solve your doubts. Let Xiaobian lead you to study and learn this article "how to solve Redis cache penetration and cache avalanche problem".

How to solve Redis cache penetration and cache avalanche problems

Cache avalanche: Because the cache layer carries a large number of requests, it effectively protects the storage layer, but if the cache layer cannot provide services for some reasons, such as Redis nodes hanging down, hot keys are all invalid, in these cases, all requests will be directly requested to the database, which may cause database downtime.

Preventing and solving cache avalanche problems can be started from the following three aspects:

1. Use Redis high availability architecture: use Redis cluster to ensure that Redis service will not hang up

2. Cache time inconsistency: Add a random value to the cache expiration time to avoid collective failure.

3. Current limiting and degradation strategy: There are certain records, such as personalized recommendation service is unavailable, and replaced by hot data recommendation service.

Cache penetration: Cache penetration refers to querying data that does not exist at all. Such data must not be in the cache. This will cause all requests to fall on the database, and there may be database downtime.

To prevent and solve cache penetration problems, consider the following two methods:

1. Cache empty objects: cache null values, but there is a problem in this way. A large number of invalid null values will take up space, which is very wasteful.

2. Bloom filter interception: map all possible query keys to Bloom filter first. When querying, determine whether the key exists in Bloom filter first. If it exists, continue to execute downward. If it does not exist, return directly. Bloom filters have a certain amount of false positives, so you need your business to allow some fault tolerance.

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