通常我们只需要执行show processlist 进行查看，一般执行时间最长的SQL八九不离十就是罪魁祸首，但当show processlist的输出有近千条，那么很难第一眼就发现有问题的SQL，那么如何快速找到呢？其实也非常简单。我们知道mysqld是单进程多线程。那么我们可以使用top获取mysqld进程的各个线程的cpu使用情况。

top -H -p mysqld_pid

测试sql:

select * from cpu_h order by rand() limit 1;

可以看到是线程22682占用cpu比较高，接着通过查看performance_schema.threads表，找到相关SQL

select * from performance_schema.threads where thread_os_id=22682

再通过show processlist看

 找到processlist id以后，就可以直接使用命令kill。

python脚本：

（统计活跃线程SQL执行的次数）

#!/usr/bin/python

# -*- coding:utf-8 -*-

import argparse

import MySQLdb

import argparse

import commands

import sys

import MySQLdb.cursors

from warnings import filterwarnings

from warnings import resetwarnings

filterwarnings('ignore', category = MySQLdb.Warning)

reload(sys)

sys.setdefaultencoding('utf8')



def init_parse():

    parser = argparse.ArgumentParser(

        epilog='by yayun @2022',

    )

    parser.add_argument('-n','--num',required=False,default=1,help='获取多少条最耗费cpu的记录,默认1条')

parser.add_argument('-a','--active',action='store_true',default=False,help='统计活跃线程各类SQL的条目数')

    return parser

def mysql_exec(sql):

    try:   conn=MySQLdb.connect(host='127.0.0.1',user='root',passwd='xx',port=3306,connect_timeout=15,charset='utf8')

        curs = conn.cursor()

        curs.execute(sql)

        conn.commit()

        curs.close()

        conn.close()

    except Exception,e:

       print "mysql execute: " + str(e)



def mysql_query(sql):

    conn=MySQLdb.connect(host='127.0.0.1',user='root',passwd='xx',port=3306,connect_timeout=15,charset='utf8',cursorclass = MySQLdb.cursors.DictCursor)

    cursor = conn.cursor()

    count=cursor.execute(sql)

    if count == 0 :

        result=0

    else:

        result=cursor.fetchall()

    return result

    cursor.close()

    conn.close()



if __name__ == '__main__':

    parser = init_parse()

    args = parser.parse_args()

    slow_sql_numbers=args.num

    active_thread_status=args.active

    mysqld_pid = commands.getoutput("cat /data/mysql/3306/pid_mysql.pid")

    get_mysql_thead_cmd="top -H -p %s  -n 1 | grep mysqld | head -n %s | awk '{print $1,$2}' | sed 's/mysql//g'" % (mysqld_pid,slow_sql_numbers)

    tmp_mysqld_thread=commands.getoutput(get_mysql_thead_cmd).split()

    mysqld_thread=[]

    for i in tmp_mysqld_thread:

        try:

             a=i.replace('\x1b[0;10m\x1b[0;10m','')

             a=i.replace('\x1b[0;10m','')

             mysqld_thread.append(int(a))

        except Exception,e:

            pass

    active_thread_sql="select  * from ( select max(user) as user,max(db) as db , max(info) as runningsql,count(*) as rungingsql_cnt from information_schema.processlist where db is not null  and info is not null and info like '%SELECT%' group by user, db, md5(info)   union all     select max(user) as user,max(db) as db ,max(info) as runningsql,count(*) as rungingsql_cnt from information_schema.processlist where db is not null  and info is not null and info like 'UPDATE%' group by user, db,md5(info)  ) a order by 4 desc limit 10"



    if active_thread_status:

        resut=mysql_query(active_thread_sql)

        if resut:

            for i in resut:

                print "运行条目统计: %s | 运行SQL: %s  | 运行用户:%s " % (i['rungingsql_cnt'],i['runningsql'],i['user'])

        print "============================================="    

    processlist_id=[]

    if len(mysqld_thread) >= 2:

        new_mysqld_thread=tuple(mysqld_thread)

        get_slow_sql="select PROCESSLIST_ID,PROCESSLIST_USER,PROCESSLIST_HOST,\

                      PROCESSLIST_DB,PROCESSLIST_TIME,PROCESSLIST_INFO from performance_schema.threads where thread_os_id in %s" % (new_mysqld_thread,)

    else:

        new_mysqld_thread=mysqld_thread

        get_slow_sql="select PROCESSLIST_ID,PROCESSLIST_USER,PROCESSLIST_HOST,\

                      PROCESSLIST_DB,PROCESSLIST_TIME,PROCESSLIST_INFO from performance_schema.threads where thread_os_id=%s" % (new_mysqld_thread[0])

    new_resut=mysql_query(get_slow_sql)

    for b in new_resut:

        if b['PROCESSLIST_ID']:

            processlist_id.append(b['PROCESSLIST_ID'])

        if b['PROCESSLIST_INFO'] != None:

            print "SQL已运行时间: %s秒|执行SQL用户: %s |执行SQL来源ip: %s |操作的库: %s |SQL详情: %s |PROCESSLIST ID: %s" % (b['PROCESSLIST_TIME'],b['PROCESSLIST_USER'],b['PROCESSLIST_HOST'],b['PROCESSLIST_DB'],b['PROCESSLIST_INFO'],b['PROCESSLIST_ID'])



    if processlist_id:

        print "============================================="

        print "以上耗费CPU资源的SQL是否需要杀掉? 请输入Y/N"

        while True:

            in_content = raw_input("请输入：")

            if in_content == "Y":

                for p in processlist_id:

                    sql="kill %s" % (p) 

                    mysql_exec(sql)

                exit(0)

            elif in_content == "N":

                print("退出程序！")

                exit(0)

            else:

                print("输入有误，请重输入！")

搜集来自：如何快速找到影响MySQL CPU升高的原因