mysql如何找回误删除数据-木庄网络博客

本文摘自PHP中文网，作者coldplay.xixi，侵删。

mysql找回误删除数据的方法：首先找到binlog中错误的语句；然后恢复binlog日志；最后恢复到数据库，代码为【# mysql -uroot -p -f ids < data.sql】。

mysql找回误删除数据的方法：

1、找到binlog

恢复数据的前提是必须开启Mysql的binlog日志，如果binlog日志没开启，请忽略此篇文档。binlog日志是否开启可以查看Mysql配置文件。日志位置一般在/var/lib/mysql目录或者编译安装的date目录下。也可登录Mysql用命令查看。

# cat /etc/my.cnf
log_bin=mysql-bin
# mysql -uroot -p
Enter password:
mysql> show variables like'log_bin%';
+---------------------------------+--------------------------------------------------+
| Variable_name                   | Value                                            |
+---------------------------------+--------------------------------------------------+
| log_bin                         | ON                                               |
| log_bin_basename                | /home/programs/mysql-5.6.26/data/mysql-bin       |
| log_bin_index                   | /home/programs/mysql-5.6.26/data/mysql-bin.index |
| log_bin_trust_function_creators | OFF                                              |
| log_bin_use_v1_row_events       | OFF                                              |
+---------------------------------+--------------------------------------------------+
5 rows in set (0.00 sec)
# ll /home/programs/mysql-5.6.26/data/mysql-bin*
-rw-rw---- 1 mysql mysql 343629748 Oct 13 22:09 /home/programs/mysql-5.6.26/data/mysql-bin.000001
-rw-rw---- 1 mysql mysql        19 Sep 23 17:11 /home/programs/mysql-5.6.26/data/mysql-bin.index

如果有多个binlog日志也可以在Mysql命令行下查看当前binlog、切割binlog日志。切割完成binlog再次查看就会看到新的日志写入到新的binlog文件中。

mysql> show master status;
+------------------+-----------+--------------+------------------+-------------------+
| File             | Position  | Binlog_Do_DB | Binlog_Ignore_DB | Executed_Gtid_Set |
+------------------+-----------+--------------+------------------+-------------------+
| mysql-bin.000001 | 343629748 |              |                  |                   |
+------------------+-----------+--------------+------------------+-------------------+
1 row in set (0.00 sec)
mysql> flush logs;
Query OK, 0 rows affected (0.01 sec)

2、找到binlog中错误的语句

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