如何使用 MySQL 慢查询日志进行性能优化 - Profiling、mysqldumpslow 实例详解

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"当我们开始关注数据库整体性能优化时，我们需要一套 MySQL 查询分析工具。特别是在开发中大型项目时，往往有数百个查询分布在代码库中的各个角落，并实时对数据库进行大量访问和查询。如果没有一套趁手的分析方法和工具，就很难发现在执行过程中代码的效率瓶颈，我们需要通过这套工具去定位 SQL 语句在执行中缓慢的问题和原因。","attrs":{}}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"本教程带领大家学习和实践 MySQL Server 内置的查询分析工具 —— 慢查询日志、","attrs":{}},{"type":"codeinline","content":[{"type":"text","text":"mysqldumpslow","attrs":{}}],"attrs":{}},{"type":"text","text":"、","attrs":{}},{"type":"codeinline","content":[{"type":"text","text":"Profiling","attrs":{}}],"attrs":{}},{"type":"text","text":"，详细讲解如何使用他们提升代码执行效率。如果你想根据自己的工作流开发一套数据库查询管理工具，推荐使用卡拉云。只要你会写 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0;\n","attrs":{}}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"现在我们有了一个表中有数据的示例数据库。慢查询功能也已经打开，我们特意把时间阈值（long_query_time）设置为 10 并且把最小行（min_examined_row_limit）设置为 0。","attrs":{}}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"接着我们来运行一段代码测试一下：","attrs":{}}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"codeblock","attrs":{"lang":"text"},"content":[{"type":"text","text":"USE kalacloud_demo;\nSELECT * FROM users WHERE id = 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