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為此，請使用 ALTER 命令。讓我們首先創建一個表。默認引擎設置為“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)

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以下是將表從 MyISAM 轉換為 INNODB 的查詢 –

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

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現在讓我們檢查表的狀態 –

mysql> show create table DemoTable;

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輸出

這將產生以下輸出，將更新后的引擎顯示為 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)

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