詳解MySQL誤操作後怎麼進行資料復原

詳解MySQL誤操作後怎麼進行資料復原_MySQL

WBOY

發布： 2016-09-20 03:30:23

原創

910 人瀏覽過

一、開啟binlog。

先查看binlog是否開啟

mysql> show variables like "log_bin";
+---------------+-------+
|Variable_name | Value 
+---------------+-------+
| log_bin   OFF  
+---------------+-------+
1 row in set (0.00 sec)

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值為OFF，需開啟，開啟binlog方式如下：

#vim /etc/my.cnf

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在[mysqld]中加入

log-bin         = mysql-bin
log-bin         = /usr/local/mysql/log/mysql-bin.log

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重啟mysql服務

#service mysqld stop
#service mysqld start

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二、類比資料寫入

建庫

create database backup;

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建表

CREATE TABLE `number` (
 `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '编号',
 `updatetime` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
 PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

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寫入資料

程序2-1

#coding:utf8
#python2.7
import MySQLdb
import time
def connect_mysql(db_host="192.168.11.169",user="martin",passwd="martin",db="backup",charset="utf8"):
  conn = MySQLdb.connect(host=db_host,user=user,passwd=passwd,db=db,charset=charset)
  conn.autocommit(True)
return conn.cursor()
#数据插入
for i in range(0,10):
#time=time.strftime("%Y-%m-%d %H:%M:%S")
sql = 'insert into number(updatetime) values(%s)'
values = [(time.strftime("%Y-%m-%d %H:%M:%S"))]
  db1 = connect_mysql()
print db1.executemany(sql,values)

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查詢資料

mysql> select * from number;
+-------+------------------------+
| id | updatetime     
+--------------------------------+
| 1 | 2016-06-29 23:27:15 |
| 2 | 2016-06-29 23:27:15 |
| 3 | 2016-06-29 23:27:15 |
| 4 | 2016-06-29 23:27:15 |
| 5 | 2016-06-29 23:27:15 |
| 6 | 2016-06-29 23:27:15 |
| 7 | 2016-06-29 23:27:15 |
| 8 | 2016-06-29 23:27:15 |
| 9 | 2016-06-29 23:27:15 |
| 10 | 2016-06-29 23:27:15 |
+-------+------------------------+
10 rows in set (0.00 sec)

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三、全量備份

mysqldump -uroot -p -F --master-data=2 backup |gzip> /martin/data/backup_$(date +%F).sql.gz

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註：加-F能刷新binlog，方便恢復時操作。

四、模擬寫入增量資料

繼續執行程序2-1。

查詢資料

mysql> select * from number;
+----+---------------------------+
| id | updatetime     |
+----+---------------------------+
| 1 | 2016-06-29 23:27:15 |
| 2 | 2016-06-29 23:27:15 |
| 3 | 2016-06-29 23:27:15 |
| 4 | 2016-06-29 23:27:15 |
| 5 | 2016-06-29 23:27:15 |
| 6 | 2016-06-29 23:27:15 |
| 7 | 2016-06-29 23:27:15 |
| 8 | 2016-06-29 23:27:15 |
| 9 | 2016-06-29 23:27:15 |
| 10 | 2016-06-29 23:27:15 |
| 11 | 2016-06-29 23:31:03 |
| 12 | 2016-06-29 23:31:03 |
| 13 | 2016-06-29 23:31:03 |
| 14 | 2016-06-29 23:31:03 |
| 15 | 2016-06-29 23:31:03 |
| 16 | 2016-06-29 23:31:03 |
| 17 | 2016-06-29 23:31:03 |
| 18 | 2016-06-29 23:31:03 |
| 19 | 2016-06-29 23:31:03 |
| 20 | 2016-06-29 23:31:03 |
+-------+---------------------+
20 rows in set (0.00 sec)

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五、增量備份

保留mysql-bin.000002及之後的binlog即可。

六、模擬誤操作

delete from number;

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七、再次寫入增量資料

執行程序2-1

select * from bumber;

+------+------------------------+
| id | updatetime     |
+------+------------------------+
| 21 | 2016-06-29 23:41:06 |
| 22 | 2016-06-29 23:41:06 |
| 23 | 2016-06-29 23:41:06 |
| 24 | 2016-06-29 23:41:06 |
| 25 | 2016-06-29 23:41:06 |
| 26 | 2016-06-29 23:41:06 |
| 27 | 2016-06-29 23:41:06 |
| 28 | 2016-06-29 23:41:06 |
| 29 | 2016-06-29 23:41:06 |
| 30 | 2016-06-29 23:41:06 |
+------+------------------------+
10 rows in set (0.00 sec)

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八、恢復

此時發現先前的delete操作為誤操作，急需恢復，恢復過程如下

給該表加上讀鎖

lock table number read;

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將全量備份的資料匯入

#cd /martin/data/
#gzip -d number_2016-06-29.sql.gz
#grep -i "change" *.sql
-- CHANGE MASTER TO MASTER_LOG_FILE='mysql-bin.000002', MASTER_LOG_POS=107;

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刷新日誌

#mysqladmin -uroot -p'martin' flush-logs
#cd /usr/local/mysql/log
#ls|grep mysql-bin|grep -v index
mysql-bin.000001
mysql-bin.000002
mysql-bin.000003

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可確定mysql-bin.000002為增量資料binlog

導入全量備份

#cd /martin/data/
#mysql -uroot -p backup < number_2016-06-29.sql
#cp /usr/local/mysql/log/mysql-bin.000002 /martin/data/
#mysqlbinlog mysql-bin.000002 >bin.sql
#vim bin.sql

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在bin.sql找到之前的delete語句，刪除

mysql -uroot -p <bin.sql

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九、確認已復原資料

登入mysql

#mysql -uroot -p'martin' backup
select * from number;

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+----+---------------------+
| id | updatetime     |
+----+---------------------+
| 1 | 2016-06-29 23:27:15 |
| 2 | 2016-06-29 23:27:15 |
| 3 | 2016-06-29 23:27:15 |
| 4 | 2016-06-29 23:27:15 |
| 5 | 2016-06-29 23:27:15 |
| 6 | 2016-06-29 23:27:15 |
| 7 | 2016-06-29 23:27:15 |
| 8 | 2016-06-29 23:27:15 |
| 9 | 2016-06-29 23:27:15 |
| 10 | 2016-06-29 23:27:15 |
| 11 | 2016-06-29 23:31:03 |
| 12 | 2016-06-29 23:31:03 |
| 13 | 2016-06-29 23:31:03 |
| 14 | 2016-06-29 23:31:03 |
| 15 | 2016-06-29 23:31:03 |
| 16 | 2016-06-29 23:31:03 |
| 17 | 2016-06-29 23:31:03 |
| 18 | 2016-06-29 23:31:03 |
| 19 | 2016-06-29 23:31:03 |
| 20 | 2016-06-29 23:31:03 |
| 21 | 2016-06-29 23:41:06 |
| 22 | 2016-06-29 23:41:06 |
| 23 | 2016-06-29 23:41:06 |
| 24 | 2016-06-29 23:41:06 |
| 25 | 2016-06-29 23:41:06 |
| 26 | 2016-06-29 23:41:06 |
| 27 | 2016-06-29 23:41:06 |
| 28 | 2016-06-29 23:41:06 |
| 29 | 2016-06-29 23:41:06 |
| 30 | 2016-06-29 23:41:06 |
+----+---------------------+
30 rows in set (0.00 sec)

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恢復完成！以上就是本文的全部內容，在操作資料庫時候要多加小心盡量避免誤操作，如果萬一遇到了，希望這篇文章能幫助大家。