查看具体查是哪个线程占用CPU最高
# 在Linux中使用top命令找到mysql进程ID
top - 22:11:02 up 279 days, 3:05, 0 users, load average: 5.01, 6.78, 6.42
Tasks: 3 total, 1 running, 2 sleeping, 0 stopped, 0 zombie
%Cpu(s): 76.4 us, 6.8 sy, 0.0 ni, 13.3 id, 1.5 wa, 0.0 hi, 2.0 si, 0.0 st
MiB Mem : 7821.6 total, 133.8 free, 3278.6 used, 4409.2 buff/cache
MiB Swap: 2048.0 total, 393.7 free, 1654.3 used. 4243.3 avail Mem
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
1 mysql 20 0 5850828 2.8g 9560 S 676.7 36.9 218111:07 mysqld
29839 root 20 0 5740 2044 1580 S 0.0 0.0 0:00.01 bash
29845 root 20 0 9816 1848 1388 R 0.0 0.0 0:00.00 top
# 指定进程ID，找到占用CPU最高的线程ID
top -H -p 1
top - 22:11:36 up 279 days, 3:05, 0 users, load average: 5.41, 6.70, 6.41
Threads: 1102 total, 4 running, 1098 sleeping, 0 stopped, 0 zombie
%Cpu(s): 39.3 us, 2.3 sy, 0.0 ni, 56.2 id, 1.7 wa, 0.0 hi, 0.4 si, 0.0 st
MiB Mem : 7821.6 total, 126.3 free, 3272.0 used, 4423.3 buff/cache
MiB Swap: 2048.0 total, 392.4 free, 1655.6 used. 4250.5 avail Mem
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
17943 mysql 20 0 5847756 2.8g 9560 R 81.5 36.8 12:02.04 mysqld
10532 mysql 20 0 5847756 2.8g 9560 R 58.7 36.8 9:18.74 mysqld
31587 mysql 20 0 5847756 2.8g 9560 S 30.7 36.8 52:08.27 mysqld
14865 mysql 20 0 5847756 2.8g 9560 R 27.7 36.8 37:45.00 mysqld
22558 mysql 20 0 5847756 2.8g 9560 S 21.1 36.8 22:24.18 mysqld
6064 mysql 20 0 5847756 2.8g 9560 S 16.8 36.8 4:01.18 mysqld
根据操作系统线程ID找到对应的mysql 线程ID
SELECT
*
FROM
`performance_schema`.threads T
WHERE
T.THREAD_OS_ID = 17943
根据返回结果中的PROCESLIST_INFO等信息，来判断其执行的语句是否可以进行优化
SELECT * FROM `performance_schema`.`processlist` WHERE `processlist`.ID IN
(SELECT
T.PROCESSLIST_ID
FROM
`performance_schema`.threads T
WHERE
T.THREAD_OS_ID = 7013)
注意：docker运行的mysql要在容器内找到线程ID
# 如果容易内没有top命令，如果昌官方基于 debian的mysql镜像，使用如下命令安装top命令
apt-get update
apt-get install procps
# 必须执行apt-get update，否则可能会报E: Unable to locate package procps的错
补充
如果觉得先从分析线程入手比较麻烦，也可以直接通过查询当前正在执行的查询入手
SELECT * FROM `performance_schema`.`processlist`
WHERE COMMAND != 'SLEEP' AND TIME > 1 ORDER BY TIME DESC
直接找出当前下大执行的查询，按执行时间倒充值，占用CPU高的查询往往耗时也比较长
