将phpstudy中的mysql迁移至Linux教程
项目目的 将原来windows环境中使用phpstudy搭建的mysql 5.5.53 中的数据迁移至新主机Linux环境中 环境情况 新主机 系统平台： CentOS release 7.4 (Final) 内核 3.10.0-693.el7.x86_64 mysql环境： mysql statu
项目目的
将原来windows环境中使用phpstudy搭建的mysql 5.5.53 中的数据迁移至新主机Linux环境中
环境情况
新主机 系统平台：
CentOS release 7.4 (Final) 内核 3.10.0-693.el7.x86_64
mysql环境：
mysql> status Server version: 5.6.39-log MySQL Community Server (GPL) Server characterset: utf8 Db characterset: utf8 Client characterset: utf8 Conn. characterset: utf8
mysql> show variables like '%storage_engine%'; +----------------------------+--------+ | Variable_name | Value | +----------------------------+--------+ | default_storage_engine | InnoDB | | default_tmp_storage_engine | InnoDB | | storage_engine | InnoDB | +----------------------------+--------+
旧主机： 系统平台：
Windows 2012 R2 SE X64
mysql环境：
Server version: 5.5.53 MySQL Community Server (GPL) Server characterset: utf8 Db characterset: utf8 Client characterset: utf8 Conn. characterset: utf8
mysql> show variables like '%storage_engine%'; +------------------------+--------+ | Variable_name | Value | +------------------------+--------+ | default_storage_engine | MyISAM | | storage_engine | MyISAM | +------------------------+--------+
表的存储引擎
mysql> show table status from database\G; Engine: InnoDB Engine: MyISAM
迁移过程
1.使用phpstudy自带的工具进行每个数据库导出
image
我看了，也是用的mysqldump操作的。
2.如果只是保留原本的表引擎，那么直接以下操作即可
mysql> create database zentao; mysql> use zentao; mysql> source zentao20180413161534.sql; mysql> show tables; +-------------------+ | Tables_in_zentao | +-------------------+ | zt_action | | zt_bug | | zt_build | ...
原表引擎保持原样。
mysql> show table status from zentao\G; *************************** 1. row *************************** Name: zt_action Engine: MyISAM Version: 10 Row_format: Dynamic
3.将原有数据库中的表引擎变更为InnoDB
在导出的表结构zentao.sql中找到ENGINE=MyISAM,修改成ENGINE=InnoDB,至于你用什么方法替换，看你喜欢了。
# vim zentao.sql :%s/ENGINE=MyISAM/ENGINE=InnoDB/g
4.导入数据到指定数据库
mysql> use zentao; mysql> source zentao.sql;
表引擎变更为InnoDB
mysql> show table status from zentao\G; *************************** 1. row *************************** Name: zt_action Engine: InnoDB Version: 10 Row_format: Compact
5.但是有一个问题，查看表的详细信息时发现Data_free不为零，说明存在数据碎片，需要进行优化
mysql> select table_schema, table_name, data_free, engine from information_schema.tables where table_schema not in ('information_schema', 'mysql') and data_free != 0; +--------------+------------+-----------+--------+ | table_schema | table_name | data_free | engine | +--------------+------------+-----------+--------+ | zentao | zt_bug | 4194304 | InnoDB | | zentao | zt_history | 4194304 | InnoDB | +--------------+------------+-----------+--------+
6.整理有碎片的表
mysql> use zentao; mysql> optimize table zt_bug,zt_history; +-------------------+----------+----------+-------------------------------------------------------------------+ | Table | Op | Msg_type | Msg_text | +-------------------+----------+----------+-------------------------------------------------------------------+ | zentao.zt_bug | optimize | note | Table does not support optimize, doing recreate + analyze instead | | zentao.zt_bug | optimize | status | OK | | zentao.zt_history | optimize | note | Table does not support optimize, doing recreate + analyze instead | | zentao.zt_history | optimize | status | OK | +-------------------+----------+----------+-------------------------------------------------------------------+
提示该表不支持 optimize,但是下边有显示OK.其实已经执行成功了。5.6.X的版本，其实已经支持Innodb了
mysql> select table_name,engine,table_rows,data_length+index_length length,DATA_FREE from information_schema.tables where TABLE_SCHEMA='zentao' and data_free =0; +-------------------+--------+------------+---------+-----------+ | table_name | engine | table_rows | length | DATA_FREE | +-------------------+--------+------------+---------+-----------+ | zt_bug | InnoDB | 1018 | 1589248 | 0 | | zt_history | InnoDB | 2584 | 1589248 | 0 |
多个数据库方法同样操作即可。
