1、修改建表引擎
mysql> CREATE TABLE test_2( -> name varchar(10), -> year int(10)) -> ENGINE=InnoDB; -->建立表時指定預設引擎Query OK, 0 rows affected (0.10 sec)mysql> show create table test_2\G*************************** 1. row *************************** Table: test_2Create Table: CREATE TABLE `test_2` ( `name` varchar(10) DEFAULT NULL, `year` int(10) DEFAULT NULL) ENGINE=InnoDB DEFAULT CHARSET=latin11 row in set (0.00 sec)mysql>mysql> show tables;+------------------+| Tables_in_excise |+------------------+| test1 || test_1 |+------------------+2 rows in set (0.00 sec)mysql> show create table test_1\G*************************** 1. row *************************** Table: test_1Create Table: CREATE TABLE `test_1` ( `name` varchar(20) DEFAULT NULL, `year` int(5) DEFAULT NULL) ENGINE=MyISAM DEFAULT CHARSET=latin1 --> 預設的表引擎為MyISAM;1 row in set (0.00 sec)mysql> alter table test_1 type=InnoDB; --> 修改表的資料引擎;Query OK, 0 rows affected, 1 warning (0.11 sec)Records: 0 Duplicates: 0 Warnings: 0mysql> show create table test_1\G*************************** 1. row *************************** Table: test_1Create Table: CREATE TABLE `test_1` ( `name` varchar(20) DEFAULT NULL, `year` int(5) DEFAULT NULL) ENGINE=InnoDB DEFAULT CHARSET=latin1 --> 顯示表的資料引擎已經變為InnoDB;1 row in set (0.00 sec)mysql>
2、
mysql> show engines; --> 查看MySQL支援引擎 +------------+---------+------------------------------------------------------------+--------------+------+------------+| Engine | Support | Comment | Transactions | XA | Savepoints |+------------+---------+------------------------------------------------------------+--------------+------+------------+| MRG_MYISAM | YES | Collection of identical MyISAM tables | NO | NO | NO || CSV | YES | CSV storage engine | NO | NO | NO || MyISAM | DEFAULT | Default engine as of MySQL 3.23 with great performance | NO | NO | NO || InnoDB | YES | Supports transactions, row-level locking, and foreign keys | YES | YES | YES || MEMORY | YES | Hash based, stored in memory, useful for temporary tables | NO | NO | NO |+------------+---------+------------------------------------------------------------+--------------+------+------------+5 rows in set (0.00 sec)mysql>