MySQL Binlog信息查看

查看Binlog相关信息

##=====================================##
## 在MySQL内部查看binlog文件列表 ##
SHOW BINARY LOGS; ##=====================================##
##查看某个binglog文件中特定pos的操作
SHOW BINLOG EVENTS IN 'mysql-bin.000011' FROM 4742885 LIMIT 15; ##=====================================##
## 使用mysqlbinlog查看binlog ##
## 按时间过滤--start-datetime --stop-datetime,过滤时间格式为'2004-12-25 11:25:56'
## 按位置点过滤--start-position --stop-position,如果不能提供准确的pos值,则会报错
## 按照GTID过滤--include-gtids include-gtids
/export/servers/mysql/bin/mysqlbinlog -vv /export/data/mysql/data/mysql-bin.008735 /export/servers/mysql/bin/mysqlbinlog -vv /export/data/mysql/data/mysql-bin.008735 --start-datetime='2017-01-01 00:00:00' --stop-datetime='2017-01-02 00:00:00' /export/servers/mysql/bin/mysqlbinlog -vv /export/data/mysql/data/mysql-bin.008735 --start-position=194 --stop-position=201 /export/servers/mysql/bin/mysqlbinlog -vv /export/data/mysql/data/mysql-bin.008735 --include-gtids="2aa60248-d8cf-11e8-a5c5-fa1622b12630:22652-22659" ##=====================================##
## 查看binlog 文件大小和最后修改时间 ##
ll -h --time-style='+%Y-%m-%d %H:%M:%S' /export/data/mysql/data/mysql-bin*

解析Binlog获取操作频率:

/export/servers/mysql/bin/mysqlbinlog --no-defaults --base64-output=decode-rows -vvv mysql-bin.001282 \
| awk '/###/ {if($0~/UPDATE|INSERT|SELECT/)count[$2" "$NF]++}END{for(i in count) print i,"\t",count[i]}' \
| column -t | sort -k3nr

对解析出的SQL文件进行解析,计算每张表操作次数和每秒操作次数:

1、先使用mysqlbinlog解析文件:

/export/servers/mysql/bin/mysqlbinlog --no-defaults --base64-output=decode-rows -vvv mysql-bin.001282 >/tmp/001282.sql

2、修改下面python文件中main部分的sql文件地址,然后执行

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# =============================================================================
# FileName:
# Desc:
# Author:
# Email:
# HomePage:
# Version:
# LastChange:
# History:
# =============================================================================
import os def write_file(file_path, file_content):
file_handler = open(file_path, "w")
file_handler.write(file_content)
file_handler.close() def get_table_summary(dump_sql_path):
file_handler = open(dump_sql_path)
table_dict = dict()
for file_line in file_handler:
if file_line.find("Table_map: ") > 0:
start_index = file_line.index("Table_map:") + len("Table_map: ")
end_index = file_line.index("mapped to", start_index)
table_name = file_line[start_index:end_index].strip()
if table_name in table_dict.keys():
table_dict[table_name] += 1
else:
table_dict[table_name] = 1 result_list = list()
result_list.append("##=============按照表访问次数排序====================##")
sorted_table_dict = sorted(table_dict.items(), key=lambda x: int(x[1]), reverse=True)
for item in sorted_table_dict:
result_list.append("{0}======================{1}".format(item[0], item[1]))
result_list.append("##=============================================##")
result_file = os.path.join(os.path.dirname(__file__), "binlog_table_summary.txt")
write_file(result_file, "\n".join(result_list)) def get_binlog_time_summary(dump_sql_path):
file_handler = open(dump_sql_path)
datetime_dict = dict()
for file_line in file_handler:
if file_line.find("Table_map: ") > 0:
start_index = 1
end_index = file_line.index("server id", start_index)
current_time = file_line[start_index:end_index].strip()
if current_time in datetime_dict.keys():
datetime_dict[current_time] += 1
else:
datetime_dict[current_time] = 1
result_list = list()
result_list.append("##=============按照时间访问排序====================##")
sorted_time_dict = sorted(datetime_dict.items(), key=lambda x: x[0], reverse=True)
for item in sorted_time_dict:
result_list.append("{0}======================{1}".format(item[0], item[1]))
result_list.append("##=============================================##")
result_file = os.path.join(os.path.dirname(__file__), "binlog_time_summary.txt")
write_file(result_file, "\n".join(result_list)) if __name__ == '__main__':
sql_path = "/tmp/001282.sql"
print("正在解析数据文件{0},获取每表访问次数".format(sql_path))
get_table_summary(dump_sql_path=sql_path)
print("正在解析数据文件{0},获取每秒访问次数".format(sql_path))
get_binlog_time_summary(dump_sql_path=sql_path)
print("解析完成")
上一篇:(汉化改进作品)BruteXSS:Xss漏洞扫描脚本


下一篇:Java基础知识强化之集合框架笔记37:用户登录注册案例