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POHow slow is Redis when full and evicting keys ? (LRU algorithm)
 

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  1. POHow slow is Redis when full and evicting keys ? (LRU algorithm)
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    <p>I am using Redis in a Java application, where I am reading log files, storing/retrieving some info in Redis for each log. Keys are IP addresses in my log file, which mean that they are always news keys coming, even if the same appears regularly.</p> <p>At some point, Redis reaches its maxmemory size (3gb in my case), and starts evicting some keys. I use the "allkeys-lru" settings as I want to keep the youngest keys.</p> <p>The whole application then slows a lot, taking <strong>5 times longer</strong> than at the beginning. So I have three questions:</p> <ul> <li>is it normal to have such a dramatic slowdown (5 times longer)? Did anybody experience such slowdown? If not, I may have another issue in my code (improbable as the slowdown appears exactly when Redis reaches its limit)</li> <li>can I improve my config ? I tried to change the maxmemory-samples setting without much success</li> <li>should I consider an alternative for my particular problem? Is there a in-memory DB that could handle evicting keys with better performances ? I may consider a pure Java object (HashMap...), even if it doesn't look like a good design.</li> </ul> <p>edit 1: we use 2 DBs in Redis</p> <p>edit 2: We use redis 2.2.12 (ubuntu 12.04 LTS). Further investigations explained the issue: we are using db0 and db1 in redis. db1 is used much less than db0, and keys are totally different. When Redis reaches max-memory (and LRU algo starts evicting keys), redis does remove almost all db1 keys, which slows drastically all calls. This is a strange behavior, probably unusual and maybe linked to our application. We fixed the issue by moving to another (better) memory mechanism for keys that were loaded in db1.</p> <p>thanks !</p>
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