mysql慢查询日志分析工具 mysqlsla(转)

#查询记录最多的20个sql语句，并写到select.log中去
mysqlsla -lt slow --sort t_sum --top 20  /data/mysql/127-slow.log >/tmp/select.log
#统计慢查询文件为/data/mysql/127-slow.log的所有select的慢查询sql，并显示执行时间最长的100条sql，并写到sql_select.log中去
mysqlsla -lt slow  -sf "+select" -top 100  /data/mysql/127-slow.log >/tmp/sql_select.log
#统计慢查询文件为/data/mysql/127-slow.log的数据库为mydata的所有select和update的慢查询sql，并查询次数最多的100条sql，并写到sql_num.sql中去
mysqlsla -lt slow  -sf "+select,update" -top 100 -sort c_sum  -db mydata /data/mysql/127-slow.log >/tmp/sql_num.log

比如说，原始慢日志中有一堆的下列语句：
# Time: 110417  0:00:09
# User@Host: junsansi[junsansi] @  [192.168.1.27]
# Query_time: 3  Lock_time: 0  Rows_sent: 1  Rows_examined: 17600
select min(DOC_HIS_ID) AS DOC_HIS_ID from t_******** where DOC_HIS_ISTEAMMATE=1 and DOC_HIS_EDITOR_USER_ID_ENCRYPT=‘nfEACAwQEW1MICAN2‘;
# User@Host: junsansi[junsansi] @  [192.168.1.27]
# Query_time: 4  Lock_time: 0  Rows_sent: 1  Rows_examined: 17600
select min(DOC_HIS_ID) AS DOC_HIS_ID from t_******** where DOC_HIS_ISTEAMMATE=1 and DOC_HIS_EDITOR_USER_ID_ENCRYPT=‘nfEACAwQEW2MICAN2‘;
# User@Host: jss[junsansi] @  [192.168.1.26]
# Query_time: 4  Lock_time: 0  Rows_sent: 1  Rows_examined: 17600
select min(DOC_HIS_ID) AS DOC_HIS_ID from t_******** where DOC_HIS_ISTEAMMATE=1 and DOC_HIS_EDITOR_USER_ID_ENCRYPT=‘nfEACAwQEW3MICAN2‘;
# User@Host: junsansi[junsansi] @  [192.168.1.27]
# Query_time: 3  Lock_time: 0  Rows_sent: 1  Rows_examined: 17600
select min(DOC_HIS_ID) AS DOC_HIS_ID from t_******** where DOC_HIS_ISTEAMMATE=1 and DOC_HIS_EDITOR_USER_ID_ENCRYPT=‘nfEACAwQEW4MICAN2‘;
# User@Host: jss[junsansi] @  [192.168.1.26]
# Query_time: 5  Lock_time: 0  Rows_sent: 1  Rows_examined: 17600
select min(DOC_HIS_ID) AS DOC_HIS_ID from t_******** where DOC_HIS_ISTEAMMATE=1 and DOC_HIS_EDITOR_USER_ID_ENCRYPT=‘nfEACAwQEW5MICAN2‘;
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直接阅读的操作体验很不好，使用mysqlsla处理后，结果呈现如下：
Count         : 23  (8.52%)
Time          : 102 s total, 4.434783 s avg, 3 s to 7 s max  (6.79%)
  95% of Time : 88 s total, 4.190476 s avg, 3 s to 6 s max
Lock Time (s) : 0 total, 0 avg, 0 to 0 max  (0.00%)
  95% of Lock : 0 total, 0 avg, 0 to 0 max
Rows sent     : 1 avg, 1 to 1 max  (0.02%)
Rows examined : 11.53k avg, 5.70k to 17.60k max  (1.07%)
Database      : jssdb
Users         : 
        junsansi@ 192.168.1.27 : 86.96% (20) of query, 11.11% (30) of all users
        jss@ 192.168.1.26 : 13.04% (3) of query, 2.96% (8) of all users

Query abstract:
SELECT MIN(doc_his_id) AS doc_his_id FROM t_******** WHERE doc_his_isteammate=N AND doc_his_editor_user_id_encrypt=‘S‘;

Query sample:
select min(DOC_HIS_ID) AS DOC_HIS_ID from t_******** where DOC_HIS_ISTEAMMATE=1 and DOC_HIS_EDITOR_USER_ID_ENCRYPT=‘nfEACAwQEW2MICAN2‘;

在上述结果中，语句的执行情况(执行次数，对象信息，查询记录量，时间开销，来源统计)等信息一目了然，比较便于DBA进一步分析了。

原文：http://blog.itpub.net/7607759/viewspace-692828/

mysql慢查询日志分析工具 mysqlsla(转)

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