为此，请使用 ALTER 命令。让我们首先创建一个表。默认引擎设置为“MYISAM” -

mysql> create table DemoTable
-> (
-> ClientId int NOT NULL AUTO_INCREMENT,
-> ClientName varchar(100),
-> ClientAge int,
-> ClientCountryName varchar(100),
-> isMarried boolean,
-> PRIMARY KEY(ClientId)
-> )ENGINE=MyISAM;
Query OK, 0 rows affected (0.67 sec)

以下是将表从 MyISAM 转换为 INNODB 的查询 -

mysql> alter table DemoTable ENGINE=InnoDB;
Query OK, 0 rows affected (1.97 sec)
Records: 0 Duplicates: 0 Warnings: 0

现在让我们检查表的状态 -

mysql> show create table DemoTable;

输出

这将产生以下输出，将更新后的引擎显示为 InnoDB -

+--------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Table        | Create Table                                                                                                                                                                                                                       |
+--------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| DemoTable | CREATE TABLE `DemoTable` (`ClientId` int(11) NOT NULL AUTO_INCREMENT, `ClientName` varchar(100) COLLATE utf8_unicode_ci DEFAULT NULL, `ClientAge` int(11) DEFAULT NULL, `ClientCountryName` varchar(100) COLLATE utf8_unicode_ci DEFAULT NULL, `isMarried` tinyint(1) DEFAULT NULL, PRIMARY KEY (`ClientId`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci |
+--------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)