为了使其理解,我们使用下表中的数据-
mysql> Select * from customers; +-------------+----------+ | Customer_Id | Name | +-------------+----------+ | 1 | Rahul | | 2 | Yashpal | | 3 | Gaurav | | 4 | Virender | +-------------+----------+ 4 rows in set (0.00 sec) mysql> Select * from reserve; +------+------------+ | ID | Day | +------+------------+ | 1 | 2017-12-30 | | 2 | 2017-12-28 | | 2 | 2017-12-25 | | 1 | 2017-12-24 | | 3 | 2017-12-26 | +------+------------+ 5 rows in set (0.00 sec)
现在,以下是一个子查询,该查询将查找已预订汽车的所有客户的姓名。
mysql> Select Name from customers WHERE customer_id IN (Select id from reserve); +----------+ | Name | +----------+ | Rahul | | Yashpal | | Gaurav | +----------+ 3 rows in set (0.00 sec)
现在,借助以下步骤,我们可以将上述子查询转换为内部联接-
将子查询中命名的“保留”表移至FROM子句。
WHERE子句将customer_id列与子查询返回的ID进行比较。
因此,将表达式转换为两个表的id列之间的显式直接比较。
mysql> SELECT Name from customers, reserve WHERE customer_id = id; +----------+ | Name | +----------+ | Rahul | | Yashpal | | Yashpal | | Rahul | | Gaurav | +----------+ 5 rows in set (0.00 sec)
我们可以看到上面的结果与子查询的结果并不完全相同,因此使用DISTINCT关键字可以得到如下相同的结果:
mysql> SELECT DISTINCT name from customers,reserve WHERE customer_id = id; +----------+ | Name | +----------+ | Rahul | | Yashpal | | Gaurav | +----------+ 3 rows in set (0.03 sec)