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概述
binlog2sql是一个Python开发开源的MySQL Binlog解析工具,能够将Binlog解析为原始的SQL,也支持将Binlog解析为回滚的SQL,去除主键的INSERT SQL,是DBA和运维人员数据恢复好帮手。
一、安装配置
1.1 用途
- 数据快速回滚(闪回)
- 主从切换后新master丢数据的修复
- 从binlog生成标准SQL,带来的衍生功能
- 支持MySQL5.6,5.7
1.2 安装
shell> git clone https://github.com/danfengcao/binlog2sql.git && cd binlog2sql shell> pip install -r requirements.txt
二、使用方法
2.1 使用前配置
2.1.1参数配置
[mysqld] server_id = 1 log_bin = /var/log/mysql/mysql-bin.log max_binlog_size = 1G binlog_format = row binlog_row_image = full
2.1.2 user需要的最小权限集合
select, super/replication client, replication slave
建议授权
GRANT SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO
权限说明
- select:需要读取server端information_schema.COLUMNS表,获取表结构的元信息,拼接成可视化的sql语句
- super/replication client:两个权限都可以,需要执行'SHOW MASTER STATUS', 获取server端的binlog列表
- replication slave:通过BINLOG_DUMP协议获取binlog内容的权限
2.2 基本用法
2.2.1基本用法
解析出标准SQL
shell> python binlog2sql.py -h127.0.0.1 -P3306 -uadmin -p'admin' -dtest -t test3 test4 --start-file='mysql-bin.000002' "htmlcode">shell> python binlog2sql.py --flashback -h127.0.0.1 -P3306 -uadmin -p'admin' -dtest -ttest3 --start-file='mysql-bin.000002' --start-position=763 --stop-position=1147 "htmlcode">test库tbl表原有数据 mysql> select * from tbl; +----+--------+---------------------+ | id | name | addtime | +----+--------+---------------------+ | 1 | 小赵 | 2016-12-10 00:04:33 | | 2 | 小钱 | 2016-12-10 00:04:48 | | 3 | 小孙 | 2016-12-13 20:25:00 | | 4 | 小李 | 2016-12-12 00:00:00 | +----+--------+---------------------+ rows in set (0.00 sec) "htmlcode">mysql> show master status; +------------------+-----------+ | Log_name | File_size | +------------------+-----------+ | mysql-bin.000051 | 967 | | mysql-bin.000052 | 965 | +------------------+-----------+最新的binlog文件是mysql-bin.000052,我们再定位误操作SQL的binlog位置。误操作人只能知道大致的误操作时间,我们根据大致时间过滤数据。
shell> python binlog2sql/binlog2sql.py -h127.0.0.1 -P3306 -uadmin -p'admin' -dtest -ttbl --start-file='mysql-bin.000052' --start-datetime='2016-12-13 20:25:00' --stop-datetime='2016-12-13 20:30:00' 输出: INSERT INTO `test`.`tbl`(`addtime`, `id`, `name`) VALUES ('2016-12-13 20:26:00', 4, '小李'); #start 317 end 487 time 2016-12-13 20:26:26 UPDATE `test`.`tbl` SET `addtime`='2016-12-12 00:00:00', `id`=4, `name`='小李' WHERE `addtime`='2016-12-13 20:26:00' AND `id`=4 AND `name`='小李' LIMIT 1; #start 514 end 701 time 2016-12-13 20:27:07 DELETE FROM `test`.`tbl` WHERE `addtime`='2016-12-10 00:04:33' AND `id`=1 AND `name`='小赵' LIMIT 1; #start 728 end 938 time 2016-12-13 20:28:05 DELETE FROM `test`.`tbl` WHERE `addtime`='2016-12-10 00:04:48' AND `id`=2 AND `name`='小钱' LIMIT 1; #start 728 end 938 time 2016-12-13 20:28:05 DELETE FROM `test`.`tbl` WHERE `addtime`='2016-12-13 20:25:00' AND `id`=3 AND `name`='小孙' LIMIT 1; #start 728 end 938 time 2016-12-13 20:28:05 DELETE FROM `test`.`tbl` WHERE `addtime`='2016-12-12 00:00:00' AND `id`=4 AND `name`='小李' LIMIT 1; #start 728 end 938 time 2016-12-13 20:28:053.我们得到了误操作sql的准确位置在728-938之间,再根据位置进一步过滤,使用flashback模式生成回滚sql,检查回滚sql是否正确(注:真实环境下,此步经常会进一步筛选出需要的sql。结合grep、编辑器等)
shell> python binlog2sql/binlog2sql.py -h127.0.0.1 -P3306 -uadmin -p'admin' -dtest -ttbl --start-file='mysql-bin.000052' --start-position=3346 --stop-position=3556 -B > rollback.sql | cat 输出: INSERT INTO `test`.`tbl`(`addtime`, `id`, `name`) VALUES ('2016-12-12 00:00:00', 4, '小李'); #start 728 end 938 time 2016-12-13 20:28:05 INSERT INTO `test`.`tbl`(`addtime`, `id`, `name`) VALUES ('2016-12-13 20:25:00', 3, '小孙'); #start 728 end 938 time 2016-12-13 20:28:05 INSERT INTO `test`.`tbl`(`addtime`, `id`, `name`) VALUES ('2016-12-10 00:04:48', 2, '小钱'); #start 728 end 938 time 2016-12-13 20:28:05 INSERT INTO `test`.`tbl`(`addtime`, `id`, `name`) VALUES ('2016-12-10 00:04:33', 1, '小赵'); #start 728 end 938 time 2016-12-13 20:28:054.确认回滚sql正确,执行回滚语句。登录mysql确认,数据回滚成功。
shell> mysql -h127.0.0.1 -P3306 -uadmin -p'admin' < rollback.sql "color: #ff0000">三、总结3.1 限制(对比mysqlbinlog)
- mysql server必须开启,离线模式下不能解析
- 参数 binlog_row_image 必须为FULL,暂不支持MINIMAL
- 解析速度不如mysqlbinlog
3.2 优点(对比mysqlbinlog)
- 纯Python开发,安装与使用都很简单
- 自带flashback、no-primary-key解析模式,无需再装补丁
- flashback模式下,更适合闪回实战
- 解析为标准SQL,方便理解、筛选
- 代码容易改造,可以支持更多个性化解析
总结
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