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