有時候咱們須要統計線上的SQL執行狀況,好比想知道哪條SQL執行最頻繁,咱們能夠開啓general_log,而後進行統計,可是general_log開啓很是損耗性能,那麼咱們能夠使用vc-mysql-sniffer來代替,該工具是編譯好的二進制,下載便可使用。下載地址:python
https://www.vividcortex.com/resources/network-analyzer-for-mysqlmysql
我這裏修改了網上的一個腳本,分析vc-mysql-sniffer抓取到的結果統計頻繁執行的SQL。sql
#!/usr/bin/python #coding:utf8 # python analysis-vc-log.py 3315 | sort | uniq -c | sort -nr |head -n 10 import re import sys import os import commands vc_sniffer_time=5 port=sys.argv[1] vc_cmd=""" /usr/bin/timeout %s /data/software/vc-mysql-sniffer -binding="[::]:%s" > /tmp/tmp_vc_mysql_%s.txt """ % (vc_sniffer_time,port,port) outtext = commands.getoutput(vc_cmd) cmd=""" grep -Ev '# Time:|# User@Host' /tmp/tmp_vc_mysql_%s.txt |sed 's/# Query_time.*/myxxxxx/g' |awk BEGIN{RS=EOF}'{gsub(/\\n/," ");print}'|awk BEGIN{RS=EOF}'{gsub(/myxxxxx/,"\\n");print}' >/tmp/vc_mysql_%s.txt""" % (port,port) outtext = commands.getoutput(cmd) file="/tmp/vc_mysql_%s.txt" % (port) logFo = open(file) for line in logFo: line = re.sub(r"\n","",line) lineMatch = re.match(r".*",line) if lineMatch: lineTmp = lineMatch.group(0) lineTmp = lineTmp.lower() # remove extra space lineTmp = re.sub(r"\s+", " ",lineTmp) # replace values (value) to values (x) lineTmp = re.sub(r"values\s*\(.*?\)", "values (x)",lineTmp) # replace filed = 'value' to filed = 'x' lineTmp = re.sub(r"(=|>|<|>=|<=)\s*('|\").*?\2","\\1 'x'",lineTmp) # replace filed = value to filed = x lineTmp = re.sub(r"(=|>|<|>=|<=)\s*[0-9]+","\\1 x",lineTmp) # replace like 'value' to like 'x' lineTmp = re.sub(r"like\s+('|\").*?\1","like 'x'",lineTmp) # replace in (value) to in (x) lineTmp = re.sub(r"in\s+\(.*?\)","in (x)",lineTmp) # replace between '...' and '...' to between 'x' and 'x' lineTmp = re.sub(r"between\s+('|\").*?\1\s+and\s+\1.*?\1","between 'x' and 'x' ",lineTmp) # replace between ... and ... to between x and x lineTmp = re.sub(r"between\s+[0-9]+\s+and\s+[0-9]+","between x and x ",lineTmp) # replace limit x,y to limit lineTmp = re.sub(r"limit.*","limit",lineTmp) print lineTmp logFo.close()
python analysis-vc-log.py 3310 | sort | uniq -c | sort -nr |head -n 10
抓取mysql 3310端口,統計執行最頻繁的10條SQL。結果我這裏就不貼上來了。有興趣的同窗本身測試。centos
參考資料:工具