关于数据库:Slave被误写入数据如何恢复到主库

背景

在 GreatSQL 主从复制环境中，有时候可能会呈现一些误操作，将本应该写入到主库的数据写入到了从库，导致主从数据不统一，影响数据同步。是否能够将写入从库的数据同步写入主库呢？

测试环境

复制链路：

greatsql> show slave status\G;
*************************** 1. row ***************************
               Slave_IO_State: Waiting for source to send event
                  Master_Host: 192.168.137.179
                  Master_User: root
                  Master_Port: 3308
                Connect_Retry: 60
              Master_Log_File: binlog.000001
          Read_Master_Log_Pos: 157
               Relay_Log_File: oracle_dts-relay-bin.000002
                Relay_Log_Pos: 367
        Relay_Master_Log_File: binlog.000001
             Slave_IO_Running: Yes
            Slave_SQL_Running: Yes

表数据

主库

greatsql> select * from dept;
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
|     60 | it         | 成都     |
+--------+------------+----------+
5 rows in set (0.00 sec)

greatsql> insert into dept select 70,'IT','CTU';
Query OK, 1 row affected (0.01 sec)
Records: 1  Duplicates: 0  Warnings: 0

greatsql> commit;
Query OK, 0 rows affected (0.00 sec)

从库

greatsql> select * from dept;
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
|     60 | it         | 成都     |
|     70 | IT         | CTU      |
+--------+------------+----------+
6 rows in set (0.00 sec)

主库写入的数据失常同步到从库

在从库写入数据

greatsql> insert into dept select 80,'IT','SZ';
Query OK, 1 row affected (0.01 sec)
Records: 1  Duplicates: 0  Warnings: 0

greatsql> insert into dept select 90,'SALES','SZ';
Query OK, 1 row affected (0.01 sec)
Records: 1  Duplicates: 0  Warnings: 0

从库数据

greatsql> select * from dept;
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
|     60 | it         | 成都     |
|     70 | IT         | CTU      |
|     80 | IT         | SZ       |
|     90 | SALES      | SZ       |
+--------+------------+----------+
8 rows in set (0.00 sec)

主库数据

greatsql> select * from dept;
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
|     60 | it         | 成都     |
|     70 | IT         | CTU      |
+--------+------------+----------+
6 rows in set (0.01 sec)

此时从库写入的数据在主库中并没有呈现

解析从库的二进制日志

$ mysqlbinlog -vv --base64-output=decode-rows  binlog.000002>b002.sql

 BEGIN
/*!*/;

#at 354
#240221 16:10:25 server id 18001  end_log_pos 416 CRC32 0xcc81584b      Table_map: `scott`.`dept` mapped to number 101
#has_generated_invisible_primary_key=0
#at 416
#240221 16:10:25 server id 18001  end_log_pos 462 CRC32 0x5149e38a      Write_rows: table id 101 flags:
 STMT_END_F

###INSERT INTO `scott`.`dept`
###SET
###@1=80 /* INT meta=0 nullable=0 is_null=0 */
###@2='IT' /* VARSTRING(56) meta=56 nullable=1 is_null=0 */
###@3='SZ' /* VARSTRING(52) meta=52 nullable=1 is_null=0 */
#at 462
#240221 16:10:25 server id 18001  end_log_pos 493 CRC32 0xab795e4a      Xid = 34

能够看到写入的从库写入的数据在 binlog.000002，咱们能够通过 grep 从库的 server id 确定日志文件中有没有在从库写入的数据。

复制从库日志到主库

$ scp binlog.000002  192.168.137.179:/tmp/
Warning: Permanently added '192.168.137.179' (ECDSA) to the list of known hosts.
root@192.168.137.179's password: 
binlog.000002                                                        100%  836     1.1MB/s   00:00 

利用从库的二进制日志

利用从库的日志到主库

$ mysqlbinlog binlog.000002|mysql -uroot -p -h127.1 -P3308

主库利用从库二进制日志时，从库二进制日志信息未发生变化

greatsql> show binary logs;
+---------------+-----------+-----------+
| Log_name      | File_size | Encrypted |
+---------------+-----------+-----------+
| binlog.000001 |       498 | No        |
| binlog.000002 |       836 | No        |
| binlog.000003 |       237 | No        |
+---------------+-----------+-----------+
3 rows in set (0.00 sec)

主从复制链路状态失常

greatsql> show slave status\G;
*************************** 1. row ***************************
               Slave_IO_State: Waiting for source to send event
                  Master_Host: 192.168.137.179
                  Master_User: root
                  Master_Port: 3308
                Connect_Retry: 60
              Master_Log_File: binlog.000001
          Read_Master_Log_Pos: 1059
               Relay_Log_File: oracle_dts-relay-bin.000002
                Relay_Log_Pos: 1269
        Relay_Master_Log_File: binlog.000001
             Slave_IO_Running: Yes
            Slave_SQL_Running: Yes

能够看到主库在利用从库产生的二进制日志时，从库没有反复利用这些二进制日志(By default, the replication I/O (receiver) thread does not write binary log events to the relay log if they have the replica's server ID (this optimization helps save disk usage). )，呈现主键抵触，导致复制状态出错

查看主库数据

greatsql> select * from dept;
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
|     60 | it         | 成都     |
|     70 | IT         | CTU      |
|     80 | IT         | SZ       |
|     90 | SALES      | SZ       |
+--------+------------+----------+
8 rows in set (0.00 sec)

后续测试，主库写入数据可失常同步到从库。

Enjoy GreatSQL :)

## 对于 GreatSQL

GreatSQL 是实用于金融级利用的国内自主开源数据库，具备高性能、高牢靠、高易用性、高平安等多个外围个性，能够作为 MySQL 或 Percona Server 的可选替换，用于线上生产环境，且完全免费并兼容 MySQL 或 Percona Server。

相干链接：GreatSQL 社区 Gitee GitHub Bilibili

GreatSQL 社区：

社区博客有奖征稿详情：https://greatsql.cn/thread-100-1-1.html

技术交换群：

微信：扫码增加 GreatSQL 社区助手 微信好友，发送验证信息 加群。