https://www.chenshaowen.com/en/tags/sharding/Recent content in Sharding on Shaowen Chen's WebsiteHugo -- gohugo.ioen©2016 - {year}, All Rights Reserved.Tue, 19 Mar 2019 00:00:00 +0000weeklyhttps://www.chenshaowen.com/en/blog/sub-db-and-table-of-django-performance.htmlTue, 19 Mar 2019 00:00:00 +0000Tue, 19 Mar 2019 00:00:00 +0000https://www.chenshaowen.com/en/blog/sub-db-and-table-of-django-performance.html1. The Problem We Hit The frontend requests are heavy, concurrency is high, and access is slow. The bottlenecks show up mainly as: Large single tables Large single databases Slow network IO Slow disk IO Optimizing network and disk IO mainly relies on hardware upgrades. In theory, a database imposes no limit on the size of a single database or a single table, but an oversized single database or table means more requests land on a single machine, putting pressure on IO.微信公众号DjangoDatabaseShardingPerformanceDatabase ShardingTable Sharding