Shulou(Shulou.com)05/31 Report--

This article mainly introduces how to solve the problem of redis cache penetration, cache breakdown, cache avalanche, has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, the following let the editor take you to understand it.

Cache penetration: the corresponding cache data in key does not exist, resulting in a request to the database, resulting in increased pressure on the database

Cache breakdown: a moment after the expiration of redis, a large number of users request the same cache data, causing these requests to request the database, resulting in increased pressure on the database. For a key

Cache avalanche: a cache server is down or a large number of cache sets fail for a certain period of time, resulting in all requests going to the database, resulting in increased pressure on the database. This is for multiple key.

First, the solution of cache penetration

The common method can use the Bloom filter method to intercept the data. secondly, there can be another solution, that is, if the requested data is empty and the null value is also cached, the penetration will not occur.

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