如何在 MySQL 中將表格從 MyISAM 轉換為 INNODB?
為此,請使用 ALTER 命令。讓我們首先建立一個表。預設引擎設定為“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)
以下是將表格從 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
讓我們現在檢查表格的狀態 −
mysql> show create table DemoTable;
輸出
這將產生以下輸出,顯示更新的 ENGINE 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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