一、开启binlog。

show variables like 'log_bin';

#vim  /etc/my.cnf

在[mysqld]中加入

log-bin                 = mysql-bin

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

重启mysql服务

#service mysqld stop

#service mysqld start

二、数据写入

建库

create database backup;

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;

写入数据

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)

#初始化数据游标，并将游标作为数据返回

查询数据

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)

三、全量备份

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

注：加-F能刷新binlog，方便恢复时操作。

或者

#innobackupex --user=root --password='martin' --include=backup.number /data/mysql_backup/number/ 2>/data/mysql_backup/number.log

四、写入增量数据

继续执行程序2-1。

查询数据

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)

五、增量备份

保留mysql-bin.000002及之后的binlog即可。

六、模拟误操作

delete from number;

七、再次写入增量数据

执行程序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)

八、恢复

此时发现之前的delete操作为误操作，急需恢复，恢复过程如下

给该表加上读锁

lock table number read;

将全量备份的数据导入

#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;

刷新日志

#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

可确定mysql-bin.000002为增量数据binlog

导入全量备份

#cd /martin/data/

#mysql -uroot -p backup 

#cp /usr/local/mysql/log/mysql-bin.000002 /martin/data/

#mysqlbinlog  mysql-bin.000002 >bin.sql

#vim bin.sql

在bin.sql找到之前的delete语句，删除

mysql -uroot -p 

九、确认已恢复数据

登录mysql

#mysql -uroot -p'martin' backup

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 |

| 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 |

| 31 | 2016-06-29 23:43:05 |

+----+---------------------+

31 rows in set (0.00 sec)

恢复正常