BOOLEAN 或 TINYINT 在 MySQL 中存储值？

MySQL的BOOLEAN和BOOL都等同于TINYINT(1)。每当你使用BOOLEAN和BOOL数据类型创建列时，MySQL会隐式地将BOOLEAN和BOOL转换为TINYINT(1)。BOOLEAN和BOOL是TINYINT(1)的等价词，因为它们是同义词。

使用BOOLEAN数据类型创建表。创建表的查询语句。

mysql> create table BooleanDemo
   -> (
   -> IsOn BOOLEAN
   -> );
Query OK, 0 rows affected (0.58 sec)

现在检查上述表的内部结构。查询如下 −

mysql> show create table BooleanDemo;

输出

+-------------+----------------------------------------------------------------------------------------------------------------------------------+
| Table       | Create Table                                                                                                                     |
+-------------+----------------------------------------------------------------------------------------------------------------------------------+
| BooleanDemo | CREATE TABLE `booleandemo` ( `IsOn` tinyint(1) DEFAULT NULL) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci    |
+-------------+----------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.01 sec)

看上面的示例输出，BOOLEAN被转换为tinyint(1)。BOOL数据类型也是如此。创建表的查询如下所示−

mysql> create table BOOLDemo
   -> (
   -> validUser BOOL
   -> );
Query OK, 0 rows affected (0.61 sec)

现在检查表的内部结构。查询如下 -

mysql> show create table BOOLDemo;

输出

+----------+------------------------------------------------------------------------------------------------------------------------------------+
| Table    | Create Table                                                                                                                       |
+----------+------------------------------------------------------------------------------------------------------------------------------------+
| BOOLDemo | CREATE TABLE `booldemo` (`validUser` tinyint(1) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci    |
+----------+------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)