MySQL数据库的性能监控方法-创新互联

本篇内容主要讲解“MySQL数据库的性能监控方法”，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习“MySQL数据库的性能监控方法”吧!

SHOW STATUS;
FLUSH STATUS;

查看当前连接数 SHOW STATUS LIKE 'Thread_%';
Thread_cached:被缓存的线程的个数
Thread_running：处于激活状态的线程的个数
Thread_connected：当前连接的线程的个数
Thread_created：总共被创建的线程的个数

Thread cache hits
Thread_connected = SHOW GLOBAL STATUS LIKE Thread_created;
Connections = SHOW GLOBAL STATUS LIKE 'Connections';
TCH=(1 - (Threads_created / Connections)) * 100

查看活动连接内容
SHOW PROCESSLIST;

如果 TCH数小于90%,创建连接耗费了时间,增大Thread_cached数量

QPS
Questions = SHOW GLOBAL STATUS LIKE 'Questions';
Uptime = SHOW GLOBAL STATUS LIKE 'Uptime';
QPS=Questions/Uptime

TPS
Com_commit = SHOW GLOBAL STATUS LIKE 'Com_commit';
Com_rollback = SHOW GLOBAL STATUS LIKE 'Com_rollback';
Uptime = SHOW GLOBAL STATUS LIKE 'Uptime';
TPS=(Com_commit + Com_rollback)/Uptime

QPS 和 TPS值一定要实时监控,如果接近架构搭建时的测试峰值,愿上帝与你同在

Read/Writes Ratio
Qcache_hits = SHOW GLOBAL STATUS LIKE 'Qcache_hits';
Com_select = SHOW GLOBAL STATUS LIKE 'Com_select';
Com_insert = SHOW GLOBAL STATUS LIKE 'Com_insert';
Com_update = SHOW GLOBAL STATUS LIKE 'Com_update';
Com_delete = SHOW GLOBAL STATUS LIKE 'Com_delete';
Com_replace = SHOW GLOBAL STATUS LIKE 'Com_replace';
R/W=(Com_select + Qcache_hits) / (Com_insert + Com_update + Com_delete + Com_replace) * 100

读写比,优化的重要依据,读的多就去优化读,写的多就去优化写

Slow queries per minute
Slow_queries = SHOW GLOBAL STATUS LIKE 'Slow_queries';
Uptime = SHOW GLOBAL STATUS LIKE 'Uptime';
SQPM=Slow_queries / (Uptime/60)

Slow queries /Questions Ratio
Slow_queries = SHOW GLOBAL STATUS LIKE 'Slow_queries';
Questions = SHOW GLOBAL STATUS LIKE 'Questions';
S/Q=Slow_queries/Questions

新版本上线时要着重关注慢查询,让测试去踢开发者的屁股吧

Full_join per minute
Select_full_join = SHOW GLOBAL STATUS LIKE 'Select_full_join';
Uptime = SHOW GLOBAL STATUS LIKE 'Uptime';
FJPM=Select_full_join / (Uptime/60)

没有使用索引而造成的full_join,优化索引去吧

Innodb buffer read hits
Innodb_buffer_pool_reads = SHOW GLOBAL STATUS LIKE 'Innodb_buffer_pool_reads';
Innodb_buffer_pool_read_requests = SHOW GLOBAL STATUS LIKE 'Innodb_buffer_pool_read_requests';
IFRH=(1 - Innodb_buffer_pool_reads/Innodb_buffer_pool_read_requests) * 100

InnoDB Buffer命中率 目标 95%-99%;

Table Cache
Open_tables= SHOW GLOBAL STATUS LIKE 'Open_tables';
Opened_tables= SHOW GLOBAL STATUS LIKE 'Opened_tables';
table_cache= SHOW GLOBAL STATUS LIKE 'table_cache';

table_cache应该大于 Open_tables 小于 Opened_tables

到此，相信大家对“MySQL数据库的性能监控方法”有了更深的了解，不妨来实际操作一番吧！这里是创新互联建站，更多相关内容可以进入相关频道进行查询，关注我们，继续学习！