统计最近N秒内的QPS值(包括每秒select，insert等值) mysql> select variable_name,sum(per_sec) as qps from (select straight_join   lower(gs0.variable_name) as variable_name,  (gs1.variable_value - gs0.variable_value)/5 as per_sec from (     select variable_name ,variable_value     from information_schema.global_status where variable_name in ('com_select','com_update','com_insert','com_replace','com_delete')     union all     select '',sleep(5) from dual   ) as gs0    join information_schema.global_status gs1 using (variable_name)) t  group by variable_name with rollup; +---------------+---------+ | variable_name | qps     | +---------------+---------+ | com_delete    |       0 | | com_insert    |     2.2 | | com_replace   |       0 | | com_select    | 11524.8 | | com_update    |       3 | | NULL          |   11530 | +---------------+---------+ 6 rows in set (5.00 sec) [b]统计db启动以来的qps值，慢查询数量等信息[/b] mysql> \s -------------- mysql  Ver 14.14 Distrib 5.5.35, for Linux (x86_64) using readline 5.1 Connection id: 98313987 Current database: udb Current user: ucloud@172.23.0.48 SSL: Not in use Current pager: stdout Using outfile: '' Using delimiter: ; Server version: 5.5.35-log MySQL Community Server (GPL) by Remi Protocol version: 10 Connection: 172.23.9.201 via TCP/IP Server characterset: utf8 Db     characterset: utf8 Client characterset: utf8 Conn.  characterset: utf8 TCP port: 3206 Uptime: 274 days 1 hour 22 min 29 sec Threads: 172  Questions: 7559640986  Slow queries: 150149138  Opens: 7799  Flush tables: 15  Open tables: 973  Queries per second avg: 319.261 以上这篇超简单的qps统计方法(推荐)就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持编程素材网。