mysql5.6.20开启慢查询日志以及创建索引优化慢查询

[root@localhost ~]# egrep "slow_query_log*|long_query_time|slow-query-log-file" /usr/local/mysql5.6/my.cnf

long_query_time = 1  (慢查询时间)

slow_query_log=1

slow-query-log-file = /data/mysql3307/log/mysql-slow.log

log_queries_not_using_indexes=1 (#记录没有使用索引的查询)


在mysql控制台修改,无需重启mysqld服务:


#开启慢查询日志记录

mysql> set global slow_query_log=on;

Query OK, 0 rows affected (0.00 sec)

#查询时间超过0.1秒的sql语句会被记录

mysql> set global long_query_time=0.1;

Query OK, 0 rows affected (0.03 sec)

#记录慢查询日志的文件地址

mysql> set global slow_query_log_file="/var/lib/mysql/localhost-slow.log";

Query OK, 0 rows affected (0.04 sec)

#记录没有使用索引的查询

mysql> set global log_queries_not_using_indexes=on;

Query OK, 0 rows affected (0.00 sec)




创建联合索引:


SELECT `user_id`,COUNT(id) AS num,MAX(login_time) AS last_login_time FROM `tab_user_login_record` WHERE `login_time` BETWEEN 1501862400 AND 1503158399 GROUP BY user_id;

原先表字段user_id,login_time创建的都是单个索引,


SELECT `user_id`,COUNT(id) AS num,MAX(login_time) AS last_login_time FROM `tab_user_login_record` WHERE `login_time` BETWEEN 1501862400 AND 1503158399 GROUP BY 

执行查询花费是时间为3.2s


记录到慢查询日志中:

[root@localhost ~]# tailf /data/mysql3307/log/mysql-slow.log 

# Time: 170913 15:57:05

# User@Host: root[root] @ localhost []  Id:    12

# Query_time: 2.523547  Lock_time: 0.000160 Rows_sent: 18760  Rows_examined: 1742609

SET timestamp=1505289425;

SELECT `user_id`,COUNT(id) AS num,MAX(login_time) AS last_login_time FROM `tab_user_login_record` WHERE `login_time` BETWEEN 1501862400 AND 1503158399 GROUP BY user_id;

# Time: 170913 15:57:27

# User@Host: root[root] @ localhost []  Id:    12

# Query_time: 2.501662  Lock_time: 0.000149 Rows_sent: 18760  Rows_examined: 1742609

SET timestamp=1505289447;

SELECT `user_id`,COUNT(id) AS num,MAX(login_time) AS last_login_time FROM `tab_user_login_record` WHERE `login_time` BETWEEN 1501862400 AND 1503158399 GROUP BY user_id;



给字段创建联合索引:

create index union_index on tab_user_login_record (user_id,login_time);


清除查询缓存:

reset query cache;

SELECT `user_id`,COUNT(id) AS num,MAX(login_time) AS last_login_time FROM `tab_user_login_record` WHERE `login_time` BETWEEN 1501862400 AND 1503158399 GROUP BY 


花费的时间是0.62秒

[root@localhost ~]# tailf /data/mysql3307/log/mysql-slow.log 

没有再记录到慢查询日志文件中


分析慢查询日志mysqlsla:


[root@localhost ~]# mysqlsla -lt slow /data/mysql3307/log/mysql-slow.log -sf "+SELECT" -top 2 -sort t_sum

Report for slow logs: /data/mysql3307/log/mysql-slow.log

6 queries total, 1 unique

Sorted by 't_sum'

Grand Totals: Time 17 s, Lock 0 s, Rows sent 112.56k, Rows Examined 10.46M



______________________________________________________________________ 001 ___

Count         : 6  (100.00%)

Time          : 16.583032 s total, 2.763839 s avg, 2.501662 s to 4.005698 s max  (100.00%)

Lock Time (s) : 1.774 ms total, 296 μs avg, 149 μs to 954 μs max  (100.00%)

Rows sent     : 18.76k avg, 18.76k to 18.76k max  (100.00%)

Rows examined : 1.74M avg, 1.74M to 1.74M max  (100.00%)

Database      : s2166ptzy

Users         : 

root@localhost  : 100.00% (6) of query, 100.00% (6) of all users


Query abstract:

SELECT user_id,COUNT(id) AS num,MAX(login_time) AS last_login_time FROM tab_user_login_record WHERE login_time BETWEEN N AND N GROUP BY user_id;


Query sample:

SELECT `user_id`,COUNT(id) AS num,MAX(login_time) AS last_login_time FROM `tab_user_login_record` WHERE `login_time` BETWEEN 1501862400 AND 1503158399 GROUP BY user_id;


 本文转自 wjw555 51CTO博客,原文链接:http://blog.51cto.com/wujianwei/1964987

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