How redis solves cache avalanche, breakdown and penetration problems

summary

For avalanches 、 breakdown 、 Penetration problem , The premise is that in the case of high concurrency , If your scene traffic is mysql Within the bearing range of the database , Then you don't need to care about these issues . You just make sure you use the cache , Ensure the consistency between cache and database data . So today we are talking about high traffic , How to deal with some common problems in using cache .

Cache avalanche

    background : Massive cache expires at the same time , Directly access the database to refresh the cached data , More visits than mysql Concurrency threshold , Lead to mysql Long-term 
    No response , Lead to dependence mysql Services are unavailable for a long time , No response , Service timeout .
   
    Solution :
       1. Stagger cache expiration time , After setting the expiration time for business satisfaction , Add a random number of expiration time 
       
       2. Adopt service degradation , Core business allows access to