mysql_convert_table_format 批量修改表引擎

之前我用存储过程批量修改表的引擎。
昨天看手册，发现还有一工具可以在SHELL下直接修改。
很爽。
有关mysql_convert_table_format工具的详细介绍见
http://dev.mysql.com/doc/refman/5.1/en/mysql-convert-table-format.html
1、之前我写的批量修改表引擎的存储过程见
http://blog.chinaunix.net/u/29134/showart_454996.html
2、之前我写的拷贝数据库结构的存储过程见
http://blog.chinaunix.net/u/29134/showart_402376.html
3、简单脚本
#!/bin/sh
#
# Created by david yeung.
#
# To convert a table engine.
#
cd /usr/local/mysql/bin
echo 'Enter Host Name:'
read HOSTNAME
echo 'Enter User Name:'
read USERNAME
echo 'Enter Password:'
read PASSWD
echo 'Enter Socket Path:'
read SOCKETPATH
echo 'Enter Database Name:'
read DBNAME
echo 'Enter Table Name:'
read TBNAME
echo 'Enter Table Engine:'
read TBTYPE
./mysql_convert_table_format --host=$HOSTNAME --user=$USERNAME --password=$PASSWD --socket=$SOCKETPATH --type=$TBTYPE $DBNAME $TBNAME--verbose
4、详细执行结果如下。

mysql> show tables;
+------------------+
| Tables_in_t_girl |
+------------------+
| log |
+------------------+
1 row in set (0.00 sec)

mysql> show databases;
+--------------------+
| Database |
+--------------------+
| information_schema |
| mysql |
| sakila |
| t_girl |
| test |
+--------------------+
5 rows in set (0.00 sec)
拷贝sakila库的所有表结构到t_girl中。
mysql> call sp_copy_db_schema('sakila','t_girl');
Query OK, 0 rows affected (1.87 sec)

mysql> show tables;
+----------------------------+
| Tables_in_t_girl |
+----------------------------+
| actor |
| actor_info |
| address |
| category |
| city |
| country |
| customer |
| customer_list |
| film |
| film_actor |
| film_category |
| film_list |
| film_text |
| inventory |
| language |
| log |
| nicer_but_slower_film_list |
| payment |
| rental |
| sales_by_film_category |
| sales_by_store |
| staff |
| staff_list |
| store |
+----------------------------+
24 rows in set (0.00 sec)
当前的引擎全是默认的MYISAM。
mysql> select concat(table_schema,'.',table_name) as table_name ,engine from information_schema.tables where table_schema = 't_girl';
+-----------------------------------+--------+
| table_name | engine |
+-----------------------------------+--------+
| t_girl.actor | MyISAM |
| t_girl.actor_info | MyISAM |
| t_girl.address | MyISAM |
| t_girl.category | MyISAM |
| t_girl.city | MyISAM |
| t_girl.country | MyISAM |
| t_girl.customer | MyISAM |
| t_girl.customer_list | MyISAM |
| t_girl.film | MyISAM |
| t_girl.film_actor | MyISAM |
| t_girl.film_category | MyISAM |
| t_girl.film_list | MyISAM |
| t_girl.film_text | MyISAM |
| t_girl.inventory | MyISAM |
| t_girl.language | MyISAM |
| t_girl.log | InnoDB |
| t_girl.nicer_but_slower_film_list | MyISAM |
| t_girl.payment | MyISAM |
| t_girl.rental | MyISAM |
| t_girl.sales_by_film_category | MyISAM |
| t_girl.sales_by_store | MyISAM |
| t_girl.staff | MyISAM |
| t_girl.staff_list | MyISAM |
| t_girl.store | MyISAM |
+-----------------------------------+--------+
24 rows in set (0.00 sec)
下来运行这个脚本。
[root@localhost ~]# ./convert_engines
Enter Host Name:
localhost
Enter User Name:
root
Enter Password:
1
Enter Socket Path:
/tmp/mysql_3310.sock
Enter Database Name:
t_girl
Enter Table Name:
如果想全部修改，就不用输入表名
Enter Table Engine:
innodb
Converting tables:
converting actor
converting actor_info
converting address
converting category
converting city
converting country
converting customer
converting customer_list
converting film
converting film_actor
converting film_category
converting film_list
converting film_text
converting inventory
converting language
log is already of type innodb; Ignored
converting nicer_but_slower_film_list
converting payment
converting rental
converting sales_by_film_category
converting sales_by_store
converting staff
converting staff_list
converting store
现在查看结果
mysql> select concat(table_schema,'.',table_name) as table_name ,engine from information_schema.tables where table_schema = 't_girl';
+-----------------------------------+--------+
| table_name | engine |
+-----------------------------------+--------+
| t_girl.actor | InnoDB |
| t_girl.actor_info | InnoDB |
| t_girl.address | InnoDB |
| t_girl.category | InnoDB |
| t_girl.city | InnoDB |
| t_girl.country | InnoDB |
| t_girl.customer | InnoDB |
| t_girl.customer_list | InnoDB |
| t_girl.film | InnoDB |
| t_girl.film_actor | InnoDB |
| t_girl.film_category | InnoDB |
| t_girl.film_list | InnoDB |
| t_girl.film_text | InnoDB |
| t_girl.inventory | InnoDB |
| t_girl.language | InnoDB |
| t_girl.log | InnoDB |
| t_girl.nicer_but_slower_film_list | InnoDB |
| t_girl.payment | InnoDB |
| t_girl.rental | InnoDB |
| t_girl.sales_by_film_category | InnoDB |
| t_girl.sales_by_store | InnoDB |
| t_girl.staff | InnoDB |
| t_girl.staff_list | InnoDB |
| t_girl.store | InnoDB |
+-----------------------------------+--------+

比我之前写的那个存储过程爽多了吧。
本文出自 “上帝，咱们不见不散！” 博客，转载请与作者联系！