首页 >数据库 >mysql教程 >Using Redis to Optimize MySQL Queries

Using Redis to Optimize MySQL Queries

WBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWB
WBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWB原创
2016-06-07 16:36:18949浏览

Using Redis to Optimize MySQL Queries: I somehow missed this post from Flickr team describing their use of (app enforced) capped sorted sets in Redis as sort of a reduced optimized secondary index for MySQL: […] the bottleneck was not in

Using Redis to Optimize MySQL Queries:

I somehow missed this post from Flickr team describing their use of (app enforced) capped sorted sets in Redis as sort of a reduced optimized secondary index for MySQL:

[…] the bottleneck was not in generating the list of photos for your most recently active contact, it was just in finding who your most recently active contact was (specifically if you have thousands or tens of thousands of contacts). What if, instead of fully denormalizing, we just maintain a list of your recently active contacts? That would allow us to optimize the slow query, much like a native MySQL index would; instead of needing to look through a list of 20,000 contacts to see which one has uploaded a photo recently, we only need to look at your most recent 5 or 10 (regardless of your total contacts count)!

This is the first time I’m encountaring this approach where a NoSQL database is used not to provide directly the final data (usually in a denormalized format), but rather to optimize the access to the master of data. Basically this is a metadata layer optimizer. Neat!

Original title and link: Using Redis to Optimize MySQL Queries (NoSQL database?myNoSQL)

Using Redis to Optimize MySQL Queries
声明:
本文内容由网友自发贡献,版权归原作者所有,本站不承担相应法律责任。如您发现有涉嫌抄袭侵权的内容,请联系admin@php.cn