MySQL 数据库慢查询日志分析脚本

这个脚本是基于pt-query-digest做的日志分析脚本,变成可视化的格式。

目录结构是

./mysql_data/log
./mysql_data/log/tmp
./slow_query

# coding = gbk
__author__ = 'T_two' import datetime
import os IP = '111'
dirname = os.path.dirname(os.path.abspath(__file__))
# 解析后的目录名
slow_query= os.path.join(dirname, 'slow_query')
# pt-query-digest前的目录的
mysql_data = os.path.join(os.path.join(dirname, 'mysql_data'), 'log')
# pt-query-digest后的目录的
tmp = os.path.join(mysql_data, 'tmp') def getYesterday():
today=datetime.date.today()
yesterday = str(today - datetime.timedelta(days=1))
return yesterday def getLog(yes_time, slow_query):
# 对日志进行pt-query-digest分析
before_name = yes_time.replace('-', '') + '-' + 'slow-query.log'
# pt-query-digest之前的日志 b_filename
b_filename = os.path.join(mysql_data, before_name)
# print(b_filename)
# pt-query-digest之后的日志 a_filename
after_name = yes_time.replace('-', '') + '-' + IP + '-' + 'slow-query.log'
a_filename = os.path.join(tmp, after_name)
# print(a_filename)
# 最终格式化的日志 e_filename
end_name = IP + '-slow-log-' + yes_time + '.txt'
e_filename = os.path.join(slow_query, end_name)
#print(e_filename)
return b_filename,a_filename,e_filename def getSlowquery(b_filename,a_filename,e_filename):
print('File format starting...')
#os.system('pt-query-digest '+ b_filename + '>' + a_filename) a_slow_query = open(a_filename, 'r', encoding = 'utf8')
e_slow_query = open(e_filename, 'w', encoding = 'utf8')
_line = ''
line = a_slow_query.readlines()[20:] # 对文件切片,去除不需要的前20行。
for line in line:
line = line.strip()
# 提取需要的行
if line.startswith('#') and '# Hosts' not in line and '# Users' not in line and '# Databases' not in line and 'byte' not in line \
and '# Count' not in line and '# Exec time' not in line :
pass
elif line == '':
pass
else:
# 序列号
if '# Query' in line: line = ('\nNO.%s' % line.split()[2])
# 执行次数
elif '# Count' in line: line = ('执行次数: %s' % line.split()[3])
#执行时间
elif '# Exec time' in line: line = ('执行时间 Total: %s min: %s max: %s' % (line.split()[4],line.split()[5],line.split()[6],))
# DB
elif '# Databases' in line: line = ('库名: %s' % line.split()[2])
# 源IP
elif '# Host' in line:line = ('源IP: %s' % line.split()[2])
# 用户名
elif '# User' in line: line = ('用户名: %s' % line.split()[2]) _line = _line + line + '\n' e_slow_query.write(_line)
a_slow_query.close()
e_slow_query.close()
# 将文件拷贝到web目录下
os.system('cp ' + e_filename + ' ' + web_dir)
# 删除10天之前的数据
os.system('find ' + str(slow_query) + ' -mtime +10 | xargs rm -rf ')
os.system('find ' + mysql_data + ' -mtime +10 | xargs rm -rf ')
os.system('find ' + tmp + ' -mtime +10 | xargs rm -rf ') print ('File format end...') if __name__ == '__main__':
yes_time = getYesterday()
b_filename,a_filename, e_filename = getLog(yes_time, slow_query)
getSlowquery(b_filename,a_filename,e_filename)

  

解析之后显示的结果:

MySQL 数据库慢查询日志分析脚本

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