关于MySQL的慢日志分析工具

今天我们看看关于MySQL慢日志的阅读。我们知道，如果我们的语句不够优化，那么首先MySQL的慢日志是进一步优化的离线证据，虽然里面有好多“伪慢语句”！先不说怎么优化，如果你的日志有一条语句赌住了，那么会有不计其数的慢语句填充到MySQL的满日志里面。那么首先提炼出这些语句就非常头疼。今天主要介绍两种工具：1,mysqldumpslow。（咱们 MySQL自带的简单而又实用的工具）我们先来看下mysqldumpslow的结果。[root@localhost ~]# mysqldumpslow -r localhost-slow.logReading mysql slow query log from localhost-slow.logCount: 2 Time=7.00s (14s) Lock=0.00s (0s) Rows=0.0 (0), root[root]@localhost select * from t_page_sample order by id desc limit N,NCount: 1 Time=11.00s (11s) Lock=0.00s (0s) Rows=1.0 (1), root[root]@localhost select count(*) from t_page_sampleCount: 1 Time=1418.00s (1418s) Lock=0.00s (0s) Rows=0.0 (0), root[root]@localhost insert ignore into t_page_sample select ceil(rand()*N), ceil(rand()*N), date_sub(now(),interval floor(rand()*N) day), now() from t_page_sample比如要查找排序的慢语句：[root@localhost ~]# mysqldumpslow -r -g "order by " localhost-slow.logReading mysql slow query log from localhost-slow.logCount: 2 Time=7.00s (14s) Lock=0.00s (0s) Rows=0.0 (0), root[root]@localhost select * from t_page_sample order by id desc limit N,N自带的mysqldumpslow简单实用，作为我个人的首选。关于具体的参数含义，可以参见它自身的HELP。2,mk-query-digest。(网上著名的开源脚本家族Maatkit中一员)手册地址：http://www.maatkit.org/doc/mk- query-digest.html下载方法：wget http://www.maatkit.org/get/mk-query-digest完了赋给它可执行权限就OK。mk-query-digest 功能太多，我今天只是试了下它对MySQL慢日志的分析功能。以下是我觉得比较实用的功能。1）分析慢日志并且把找出来的语句写到规定的表里。[root@localhost ~]# ./mk-query-digest --limit 2 --select Query_time,Lock_time,Rows_sent,Rows_examined,ts --create-review-table --review D=t_girl,t=query_review localhost-slow.log# 280ms user time, 80ms system time, 11.56M rss, 16.65M vsz# Current date: Sat May 8 02:47:39 2010# Files: localhost-slow.log# Overall: 4 total, 3 unique, 0.01 QPS, 1.96x concurrency ________________# total min max avg 95% stddev median# Exec time 1443s 5s 1418s 361s 1357s 584s 684s# Lock time 0 0 0 0 0 0 0# Rows sent 1 0 1 0.25 0.99 0.43 0# Rows exam 6.98M 1.69M 1.89M 1.74M 1.86M 76.62k 1.69M# Time range 2010-05-08 00:28:42 to 2010-05-08 00:40:58# Profile# Rank Query ID Response time Calls R/Call Item# ==== ================== ================ ===== ========= ===============# 1 0x2A94F91D8C3B4B26 1418.0000 99.0% 1 1418.0000 INSERT SELECT t_page_sample# 2 0x06754F1BD3C8D697 14.0000 1.0% 2 7.0000 SELECT t_page_sample# Query 1: 0 QPS, 0x concurrency, ID 0x2A94F91D8C3B4B26 at byte 0 ________# This item is included in the report because it matches --limit.# pct total min max avg 95% stddev median# Count 25 1# Exec time 98 1418s 1418s 1418s 1418s 1418s 0 1418s# Lock time 0 0 0 0 0 0 0 0# Rows sent 0 0 0 0 0 0 0 0# Rows exam 27 1.89M 1.89M 1.89M 1.89M 1.89M 0 1.89M# Time range 2010-05-08 00:28:42 to 2010-05-08 00:28:42# Query_time distribution# 1us# 10us# 100us# 1ms# 10ms# 100ms# 1s# 10s+ ################################################################# Review information# first_seen: 2010-05-08 00:28:42# last_seen: 2010-05-08 00:28:42# reviewed_by:# reviewed_on:# comments:# Tables# SHOW TABLE STATUS FROM `t_girl` LIKE 't_page_sample'/G# SHOW CREATE TABLE `t_girl`.`t_page_sample`/Ginsert ignore into t_page_sample select ceil(rand()*10000000), ceil(rand()*9), date_sub(now(),interval floor(rand()*20) day), now() from t_page_sample/G# Query 2: 0.07 QPS, 0.47x concurrency, ID 0x06754F1BD3C8D697 at byte 1499# This item is included in the report because it matches --limit.# pct total min max avg 95% stddev median# Count 50 2# Exec time 0 14s 5s 9s 7s 9s 3s 7s# Lock time 0 0 0 0 0 0 0 0# Rows sent 0 0 0 0 0 0 0 0# Rows exam 48 3.39M 1.69M 1.69M 1.69M 1.69M 0 1.69M# Time range 2010-05-08 00:40:28 to 2010-05-08 00:40:58# Query_time distribution# 1us# 10us# 100us# 1ms# 10ms# 100ms# 1s ################################################################# 10s+# Review information# first_seen: 2010-05-08 00:40:28# last_seen: 2010-05-08 00:40:58# reviewed_by:# reviewed_on:# comments:# Tables# SHOW TABLE STATUS FROM `t_girl` LIKE 't_page_sample'/G# SHOW CREATE TABLE `t_girl`.`t_page_sample`/G# EXPLAINselect * from t_page_sample order by id desc limit 4400000,2/G[root@localhost ~]#因为慢日志里面会有写和读语句，所以当以后想要分析某类语句时，只需要简单的SELECT即可出来。mysql> select * from query_review where fingerprint like 'select%'/G*************************** 1. row *************************** checksum: 465365117438580375fingerprint: select * from t_page_sample order by id desc limit ? sample: select * from t_page_sample order by id desc limit 4400000,2 first_seen: 2010-05-08 00:40:28 last_seen: 2010-05-08 00:40:58reviewed_by: NULLreviewed_on: NULL comments: NULL1 rows in set (0.00 sec)2. 分析当前运行的SQL语句。以前我都是自己写脚本，配合CRONTAB来定时抓取信息到固定的文件里以备分析。不过现在可以用它来打印出比较详细的报告来。[root@localhost ~]# ./mk-query-digest --select Query_time,Lock_time,Rows_sent,Rows_examined --processlist h=localhost,u=root# Caught SIGINT.# 690ms user time, 2.4s system time, 11.27M rss, 16.41M vsz# Current date: Sat May 8 03:17:39 2010# Files: STDIN# Overall: 1 total, 1 unique, 0 QPS, 0x concurrency ______________________# total min max avg 95% stddev median# Exec time 1273313855s 1273313855s 1273313855s 1273313855s 1273313855s 0 1273313855s# Lock time 0 0 0 0 0 0 0# Profile# Rank Query ID Response time Calls R/Call Ite# ==== ================== ====================== ===== =============== ===# 1 0xB52E1970DE36E57F 1273313854.8595 100.0% 1 1273313854.8595 SELECT t_page_sample# Query 1: 0 QPS, 0x concurrency, ID 0xB52E1970DE36E57F at byte 0 ________# This item is included in the report because it matches --limit.# pct total min max avg 95% stddev median# Count 100 1# Exec time 100 1273313855s 1273313855s 1273313855s 1273313855s 1273313855s 0 1273313855s# Lock time 0 0 0 0 0 0 0 0# Query_time distribution# 1us# 10us# 100us# 1ms# 10ms# 100ms# 1s# 10s+ ################################################################# Tables# SHOW TABLE STATUS FROM `t_girl` LIKE 't_page_sample'/G# SHOW CREATE TABLE `t_girl`.`t_page_sample`/G# EXPLAINselect count(*) from t_page_sample/G[root@localhost ~]#当想停止截取当前语句时，按住CTRL+C就OK。不过我还是喜欢我自己的那个小脚本。哈哈。