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慢查询日志会将查询过程中超出你设置的时间的查询记录下来,以便供开发者进行分析和优化。
1. 开启慢查询
1.1 查看当前设置
MySQL> show variables like “%query%”;
输出
+——————————+—————————————–+
| Variable_name | Value |
+——————————+—————————————–+
| binlog_rows_query_log_events | OFF |
| ft_query_expansion_limit | 20 |
| have_query_cache | YES |
| long_query_time | 10.000000 |
| query_alloc_block_size | 8192 |
| query_cache_limit | 1048576 |
| query_cache_min_res_unit | 4096 |
| query_cache_size | 16777216 |
| query_cache_type | OFF |
| query_cache_wlock_invalidate | OFF |
| query_prealloc_size | 8192 |
| slow_query_log | OFF |
| slow_query_log_file | /var/lib/mysql/lgj-Lenovo-G470-slow.log |
+——————————+—————————————–+
三个参数
- slow_query_log ON/OFF , 使能开关
- slow_query_log_file 慢查询日志目录和文件名称
- long_query_time 超过该时间则进行记录,5.1 之前只设置到秒,5.1 开始支持毫秒。
注意,开启慢查询会影响性能,因此应当在某一段时间内开启,记录一段时间后关闭掉。
1.2 配置
linuxidc@www.linuxidc.com:~/db-analysis$ whereis mysql
mysql: /usr/bin/mysql /usr/lib/mysql /etc/mysql /usr/local/mysql /usr/share/mysql /usr/share/man/man1/mysql.1.gz
我的配置文件在 /etc/mysql 目录下的 my.cnf
配置
[mysqld]
port=3307
skip-grant-tables
!includedir /etc/mysql/conf.d/
!includedir /etc/mysql/mysql.conf.d/
# 打开慢查询
slow_query_log = ON
# 设置超时时间为 0,也就是记录所有的查询
long_query_time = 0
设置完后保存,重新启动 mysql
service mysql restart
重新查看参数,已经更改。
mysql> show variables like “%query%”;
+——————————+—————————————–+
| Variable_name | Value |
+——————————+—————————————–+
| binlog_rows_query_log_events | OFF |
| ft_query_expansion_limit | 20 |
| have_query_cache | YES |
| long_query_time | 0.000000 |
| query_alloc_block_size | 8192 |
| query_cache_limit | 1048576 |
| query_cache_min_res_unit | 4096 |
| query_cache_size | 16777216 |
| query_cache_type | OFF |
| query_cache_wlock_invalidate | OFF |
| query_prealloc_size | 8192 |
| slow_query_log | ON |
| slow_query_log_file | /var/lib/mysql/lgj-Lenovo-G470-slow.log |
+——————————+—————————————–+
1.3 查询
随便执行一条查询语句,然后查看慢查询日志。
/usr/sbin/mysqld, Version: 5.7.25-0Ubuntu0.18.04.2 ((Ubuntu)). started with:
Tcp port: 3306 Unix socket: /var/run/mysqld/mysqld.sock
Time Id Command Argument
/usr/sbin/mysqld, Version: 5.7.25-0ubuntu0.18.04.2-log ((Ubuntu)). started with:
Tcp port: 3306 Unix socket: /var/run/mysqld/mysqld.sock
Time Id Command Argument
/usr/sbin/mysqld, Version: 5.7.25-0ubuntu0.18.04.2-log ((Ubuntu)). started with:
Tcp port: 3306 Unix socket: /var/run/mysqld/mysqld.sock
Time Id Command Argument
;
# Time: 2019-02-27T14:07:42.841770Z
# User@Host: skip-grants user[lgj] @ localhost [] Id: 2
# Query_time: 0.016232 Lock_time: 0.000000 Rows_sent: 0 Rows_examined: 0
SET timestamp=1551276462;
;
# Time: 2019-02-27T14:07:51.774192Z
# User@Host: skip-grants user[lgj] @ localhost [] Id: 2
# Query_time: 0.000485 Lock_time: 0.000221 Rows_sent: 1 Rows_examined: 1
SET timestamp=1551276471;
select * from user;
# Time: 2019-02-27T14:07:55.839223Z
# User@Host: skip-grants user[lgj] @ localhost [] Id: 2
# Query_time: 0.000564 Lock_time: 0.000259 Rows_sent: 1 Rows_examined: 1
SET timestamp=1551276475;
# 查询语句
select * from user;
# 记录时间
# Time: 2019-02-27T14:08:07.404666Z
# User@Host: skip-grants user[lgj] @ localhost [] Id: 2
# 查询时间 锁表时间
# Query_time: 0.006318 Lock_time: 0.000435 Rows_sent: 13 Rows_examined: 1026
SET timestamp=1551276487;
从上面可以获知查询时间和锁表时间,但是如果文件比较大,查找时间最长的查询将会非常麻烦,需要使用相关的工具来进行分析。
2. qt-query-digest 的使用
2.1 安装
• 创建目录:mkdir db-analysis && cd db-analysis
• 下载 pt-query-digest: curl -LO https://percona.com/get/pt-query-digest
• 设置执行权限:chmod +x pt-query-digest
• 将慢查询日志的文件复制到当前的目录下
• 执行分析:./pt-query-digest lgj-Lenovo-G470-slow.log
结果
# 220ms user time, 10ms system time, 33.67M rss, 90.27M vsz
# Current date: Wed Feb 27 22:55:05 2019
# Hostname: lgj-Lenovo-G470
# Files: lgj-Lenovo-G470-slow.log
# Overall: 9 total, 7 unique, 0.24 QPS, 0.00x concurrency ________________
# Time range: 2019-02-27T14:07:29 to 2019-02-27T14:08:07
# Attribute total min max avg 95% stddev median
# ============ ======= ======= ======= ======= ======= ======= =======
# Exec time 185ms 225us 122ms 21ms 122ms 37ms 6ms
# Lock time 2ms 0 485us 186us 467us 166us 159us
# Rows sent 50 0 13 5.56 12.54 5.25 0.99
# Rows examine 2.03k 0 1.00k 230.44 1012.63 419.72 0.99
# Query size 198 11 32 22 31.70 7.35 17.65
# Profile
# Rank Query ID Response time Calls R/Call V/M
# ==== ================================= ============= ===== ====== =====
# 1 0x751417D45B8E80EE5CBA2034458B… 0.1223 66.1% 1 0.1223 0.00 SHOW DATABASES
# 2 0xA11944C87A6A5C16FB38455BF703… 0.0320 17.3% 1 0.0320 0.00 SELECT
# 3 0x898255B1BE4F8C3044AE35A18286… 0.0155 8.4% 1 0.0155 0.00 ADMIN INIT DB
# 4 0xE77769C62EF669AA7DD5F6760F2D… 0.0134 7.3% 2 0.0067 0.00 SHOW VARIABLES
# MISC 0xMISC 0.0018 1.0% 4 0.0004 0.0 <3 ITEMS>
# Query 1: 0 QPS, 0x concurrency, ID 0x751417D45B8E80EE5CBA2034458B5BC9 at byte 1471
# This item is included in the report because it matches –limit.
# Scores: V/M = 0.00
# Time range: all events occurred at 2019-02-27T14:07:42
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 11 1
# Exec time 66 122ms 122ms 122ms 122ms 122ms 0 122ms
# Lock time 6 110us 110us 110us 110us 110us 0 110us
# Rows sent 20 10 10 10 10 10 0 10
# Rows examine 0 10 10 10 10 10 0 10
# Query size 7 14 14 14 14 14 0 14
# String:
# Databases microblog
# Hosts localhost
# Users skip-grants user
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms
# 100ms ################################################################
# 1s
# 10s+
show databases\G
# Query 2: 0 QPS, 0x concurrency, ID 0xA11944C87A6A5C16FB38455BF7035609 at byte 1008
# This item is included in the report because it matches –limit.
# Scores: V/M = 0.00
# Time range: all events occurred at 2019-02-27T14:07:42
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 11 1
# Exec time 17 32ms 32ms 32ms 32ms 32ms 0 32ms
# Lock time 0 0 0 0 0 0 0 0
# Rows sent 2 1 1 1 1 1 0 1
# Rows examine 0 0 0 0 0 0 0 0
# Query size 8 17 17 17 17 17 0 17
# String:
# Hosts localhost
# Users skip-grants user
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms
# 1s
# 10s+
# EXPLAIN /*!50100 PARTITIONS*/
SELECT DATABASE()\G
# Query 3: 0 QPS, 0x concurrency, ID 0x898255B1BE4F8C3044AE35A182869033 at byte 1225
# This item is included in the report because it matches –limit.
# Scores: V/M = 0.00
# Time range: all events occurred at 2019-02-27T14:07:42
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 11 1
# Exec time 8 15ms 15ms 15ms 15ms 15ms 0 15ms
# Lock time 0 0 0 0 0 0 0 0
# Rows sent 0 0 0 0 0 0 0 0
# Rows examine 0 0 0 0 0 0 0 0
# Query size 15 30 30 30 30 30 0 30
# String:
# Databases microblog
# Hosts localhost
# Users skip-grants user
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms
# 1s
# 10s+
administrator command: Init DB\G
# Query 4: 0.05 QPS, 0.00x concurrency, ID 0xE77769C62EF669AA7DD5F6760F2D2EBB at byte 775
# This item is included in the report because it matches –limit.
# Scores: V/M = 0.00
# Time range: 2019-02-27T14:07:30 to 2019-02-27T14:08:07
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 22 2
# Exec time 7 13ms 6ms 7ms 7ms 7ms 559us 7ms
# Lock time 54 920us 435us 485us 460us 485us 35us 460us
# Rows sent 52 26 13 13 13 13 0 13
# Rows examine 98 2.00k 1.00k 1.00k 1.00k 1.00k 0 1.00k
# Query size 29 58 29 29 29 29 0 29
# String:
# Databases microblog
# Hosts localhost
# Users skip-grants user
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms ################################################################
# 10ms
# 100ms
# 1s
# 10s+
show variables like “%query%”\G
: