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分析统计MySQL general日志 找出查询次数最多的SQL
当我们需要优化MySQL查询时,第一想到的是开启慢日志,慢日志可以看到执行消耗超过一定时间的SQL语句和未使用索引的SQL。但如果我们想分析所有SQL查询的分布,即哪类SQL查询次数最多的时候,我们可以开启general log来统计。
开启general log
mysql> show variables like '%general%';
+——————+————————————-+
| Variable_name | Value |
+——————+————————————-+
| general_log | OFF |
| general_log_file | /usr/local/mysql/data/localhost.log |
+——————+————————————-+
mysql> set global general_log = "ON";
analysis-general-log.py脚本
#!/usr/bin/python# sort and count mysql general log # Author: Jason # Url: www.centos.bz # Email: admin#centos.bz # Created: UTC 2015-02-15 17:51:53import re import sys import osif len(sys.argv) == 2:logPath = sys.argv[1]if not os.path.exists(logPath):print ("file " + logPath + " does not exists.")sys.exit(1) else:print ("Usage: " + sys.argv[0] + " logPath")sys.exit(1)logFo = open(logPath) match = 0for line in logFo:line = re.sub(r"\n","",line)if match == 0:# match line begin with numberslineMatch = re.match(r"\s+[0-9]+\s+.*",line,flags=re.I)if lineMatch:lineTmp = lineMatch.group(0)match = match + 1continueelif match == 1:# match line begin with numberslineMatch = re.match(r"\s+[0-9]+\s+.*",line,flags=re.I)if lineMatch:# match only querylineMatchQuery = re.match(r".*Query\s+(.*)",lineTmp,flags=re.I)if lineMatchQuery:lineTmp = lineMatchQuery.group(1)# remove extra spacelineTmp = re.sub(r"\s+", " ",lineTmp)# replace values (value) to values (x)lineTmp = re.sub(r"values\s*\(.*?\)", "values (x)",lineTmp,flags=re.I)# replace filed = 'value' to filed = 'x'lineTmp = re.sub(r"(=|>|<|>=|<=)\s*('|\").*?\2","\\1 'x'",lineTmp)# replace filed = value to filed = xlineTmp = 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,flags=re.I)# replace in (value) to in (x)lineTmp = re.sub(r"in\s+\(.*?\)","in (x)",lineTmp,flags=re.I)# replace limit x,y to limitlineTmp = re.sub(r"limit.*","limit",lineTmp,flags=re.I)print (lineTmp)match = 1lineTmp = lineMatch.group(0)else: lineTmp += linematch = 1logFo.close()
使用方法:
analysis-general-log.py general.log | sort | uniq -c | sort -nr
该python脚本使用与python2.7以上环境
转载于:https://blog.51cto.com/11012498/1940389