之前只用as给计算字段起过别名,由于有时候不区分计算字段和列,所以也可以说as可以用于给列起别名。总之,as可以给列和计算字段起别名,还可以给表起别名。
select concat(vend_name, '(', vend_country, ')') as vend_title from vendors order by vend_name;计算字段必须用as起别名,因为不起名字就是匿名的,没法用。 但是给表起别名则是真的别名,可选的,不起人家也有名字。
select cust_name, cust_contact from customers as C, orders as O, orderItems as OI where prod_id = 'RGAN01' AND OI.order_num = O.order_num and C.cust_id = O.cust_id;
一直觉得这种起别名的方式很类似C和C++的typedef关键字,所以作用当然也有类似的点:缩短代码。
很难理解,用一个例子来说明:
太牛了
假设,我们要给和Jim Jones同一公司的所有顾客发邮件,那么就要找出和Jim Jones同公司的所有顾客,假设我们只找名字,邮箱先不说。
那么首先应该根据Jim Jones来找到Jim Jones工作的公司,然后再去找所有在这个公司工作的顾客。
最内层的查询:找到Jim Jones工作的公司
select cust_name from Customers where cust_contact = "Jim Jones";结果是fun4all公司。
然后直接加上外层查询,写成嵌套的样子:
select cust_id, cust_name, cust_contact from Customers where cust_name in (select cust_name from Customers where cust_contact = "Jim Jones");于是就找到了Dennise这个顾客。
注意别名虽然在第二行才定义,但是第一行就在用了,因为这是一个语句,分行只是格式而已。
第一个联结条件用于过滤出c2表中所有联系人为Jim Jones的行,其实就一行,即公司名cust_name为fun4all的那行;
第二个条件再过滤出c1表中所有和c2表中过滤出的行的公司名相同的行,于是就得到这两行结果。
注意最后显示的是c1表的过滤结果,这个是重要的,因为c2被过滤的只剩一行了 如果把第一行代码改为c2
select c2.cust_id, c2.cust_name, c2.cust_contact from Customers as c1, Customers as c2 -- 牛不牛逼 where c2.cust_contact = "Jim Jones" and c1.cust_name = c2.cust_name;则显示两次jim的信息,因为c2被过滤的只剩一行,却又和c1匹配了2次
很多DBMS处理联结的速度比子查询快得多。所以还是尽量用联结。虽然不懂为什么会快得多,大概是底层代码原因。用表别名引用的两个表虽然是同一个表,但是DBMS却把他们完全当做两个表,这样真的很方便。见上一节的 示例:在一条select语句多次引用一个表
由于没出现过不是自然联结的内联结,所以并不清楚相同列多次出现是啥样的
select C.*, O.order_num, O.order_date, OI.prod_id, OI.quantity, OI.item_price from Customers as C, Orders as O, OrderItems as OI WHERE C.cust_id = O.cust_id and OI.order_num = O.order_num and prod_id = 'RGAN01';可以看到select后面都是完全限定列名
大概明白意思,因为如果一个顾客没有下订单,他这行就不会关联到orders表的某一行,于是联结时就过滤不出来他这一行。
假设要检索出所有顾客,以及他们的订单编号,使用内联结写代码:
select Customers.cust_id, Orders.order_num from Customers inner join Orders on Customers.cust_id = Orders.cust_id; 用了完全限定列名指明返回数据来自哪个表inner join是用在from子句中的,把顾客表和订单表联结起来了联结的条件用on子句写如果用外联结写:
select Customers.cust_id, Orders.order_num from Customers left outer join Orders on Customers.cust_id = Orders.cust_id;left outer join,则要选择顾客表的所有行,即没在orders表的不满足联结条件的行也过滤出来。2号顾客没下订单,也被检索出来了。如果用right,则订单表的所有行都有,但是有订单编号就一定有顾客编号,因为下单了就已经是顾客了,所以这样得到的结果和内联结一样。 select Customers.cust_id, Orders.order_num from Customers right outer join Orders on Customers.cust_id = Orders.cust_id; 左外联结和右外联结可以互换,只要把表的顺序换一下就好了 select Customers.cust_id, Orders.order_num from Orders right outer join Customers on Customers.cust_id = Orders.cust_id;
相当于左外联结和右外联结的结合版本了
select Customers.cust_id, Orders.order_num from Orders full outer join Customers on orders.cust_id = Customers.cust_id;代码报错,因为mysql不支持
之前学了5个聚集函数,count是其中之一
要和group by 一起用
内联结
select Customers.cust_id, count(Orders.order_num) as num_order from Customers inner join Orders on Customers.cust_id = Orders.cust_id group by Customers.cust_id;外左联结
select Customers.cust_id, count(Orders.order_num) as num_order from Customers left outer join Orders on Customers.cust_id = Orders.cust_id group by Customers.cust_id;用联结条件:
select cust_name, cust_contact from customers as C, orders as O, orderItems as OI where prod_id = 'RGAN01' AND OI.order_num = O.order_num and C.cust_id = O.cust_id;不用联结条件,返回笛卡尔积:
select cust_name, cust_contact from customers as C, orders as O, orderItems as OI;下图不完整,但是能明白意思