Heim  >  Artikel  >  Datenbank  >  MySQL学习足迹记录11--分组数据--GROUP BY,HAVING_MySQL

MySQL学习足迹记录11--分组数据--GROUP BY,HAVING_MySQL

WBOY
WBOYOriginal
2016-06-01 13:31:37926Durchsuche

bitsCN.com

MySQL学习足迹记录11--分组数据--GROUP BY,HAVING

 

1.创建分组GROUP BY

   先列出所有的vend_id,以便作对比

 mysql> SELECT vend_id FROM products;+---------+| vend_id |+---------+|    1001 ||    1001 ||    1001 ||    1002 ||    1002 ||    1003 ||    1003 ||    1003 ||    1003 ||    1003 ||    1003 ||    1003 ||    1005 ||    1005 |+---------+14 rows in set (0.00 sec) 用GROUP BY进行分组mysql> SELECT vend_id,COUNT(*) AS num_prods         -> FROM products                  #先分组,再分别计算COUNT(*)         -> GROUP BY vend_id;+---------+-----------+| vend_id | num_prods |+---------+-----------+|    1001 |         3 ||    1002 |         2 ||    1003 |         7 ||    1005 |         2 |+---------+-----------+4 rows in set (0.00 sec)

 

 

TIPS:

  *如果列中有多行NULL值,它们将分为一组

  *GROUP BY子句必须出现在WHERE子句之后,ORDER BY子句之前

 

2.过滤分组HAVING

   *HAVING 与 WHERE 的区别:

    WHERE过滤行,而HAVING过滤分组

   

 eg:   mysql> SELECT vend_id,COUNT(*) AS num_prods               -> FROM products            -> GROUP BY vend_id           -> HAVING COUNT(*)>2;        #从结果中过滤不符合COUNT(*)>2的组+---------+-----------+| vend_id | num_prods |+---------+-----------+|    1001 |         3 ||    1003 |         7 |+---------+-----------+2 rows in set (0.00 sec)

 

 

  * WHERE在数据分组前进行过滤,HAVING在数据分组后进行过滤,所以,WHERE排除的行不包括在分组中

   eg:  先列出原始数据作对比mysql> SELECT vend_id,prod_price FROM products         -> ORDER BY prod_price;+---------+------------+| vend_id | prod_price |+---------+------------+|    1003 |       2.50 ||    1003 |       2.50 ||    1002 |       3.42 ||    1003 |       4.49 ||    1001 |       5.99 ||    1002 |       8.99 ||    1001 |       9.99 ||    1003 |      10.00 ||    1003 |      10.00 ||    1003 |      13.00 ||    1001 |      14.99 ||    1005 |      35.00 ||    1003 |      50.00 ||    1005 |      55.00 |+---------+------------+14 rows in set (0.00 sec)mysql> SELECT vend_id,COUNT(*) AS num_prods         -> FROM products         -> WHERE prod_price >14              #WHERE过滤后只剩下上表中最后3条记录,         -> GROUP BY vend_id                     #HAVING再过滤分组后vend_id为不符合COUNT(*) >=2组         -> HAVING COUNT(*) >=2;+---------+-----------+| vend_id | num_prods |+---------+-----------+|    1005 |         2 |+---------+-----------+1 row in set (0.00 sec)

 

 

3. 分组和排序

   GROUP BY和ORDER BY的区别

   *ORDER BY指定的条件可以是任意列

   *GROUP BY指定的条件只可能使用选择列或列表达式

   

 

 TIPS:

   一般在使用GROUP BY子句时,也应该给出ORDER BY子句

  Examples:

  先列出原始数据:

 mysql> SELECT order_num,quantity,item_price FROM orderitems;+-----------+----------+------------+| order_num | quantity | item_price |+-----------+----------+------------+|     20005 |       10 |       5.99 ||     20005 |        3 |       9.99 ||     20005 |        5 |      10.00 ||     20005 |        1 |      10.00 ||     20006 |        1 |      55.00 ||     20007 |      100 |      10.00 ||     20008 |       50 |       2.50 ||     20009 |        1 |      10.00 ||     20009 |        1 |       8.99 ||     20009 |        1 |       4.49 ||     20009 |        1 |      14.99 |+-----------+----------+------------+11 rows in set (0.00 sec)mysql> SELECT order_num,SUM(quantity*item_price) AS ordertotal         -> FROM orderitems         -> GROUP BY order_num         -> HAVING SUM(quantity*item_price) >= 50;+-----------+------------+                    #未用ORDERBY指定排序,结果可能不是想要的,例如按ordertotal升序| order_num | ordertotal |+-----------+------------+|     20005 |     149.87 ||     20006 |      55.00 ||     20007 |    1000.00 ||     20008 |     125.00 |+-----------+------------+4 rows in set (0.00 sec)mysql> SELECT order_num,SUM(quantity*item_price) AS ordertotal         -> FROM orderitems                                       -> GROUP BY order_num                                  -> HAVING SUM(quantity*item_price) >=50         -> ORDER BY ordertotal;              # 用ORDERBY指定排序方式+-----------+------------+| order_num | ordertotal |+-----------+------------+|     20006 |      55.00 ||     20008 |     125.00 ||     20005 |     149.87 ||     20007 |    1000.00 |+-----------+------------+4 rows in set (0.01 sec)

 


bitsCN.com
Stellungnahme:
Der Inhalt dieses Artikels wird freiwillig von Internetnutzern beigesteuert und das Urheberrecht liegt beim ursprünglichen Autor. Diese Website übernimmt keine entsprechende rechtliche Verantwortung. Wenn Sie Inhalte finden, bei denen der Verdacht eines Plagiats oder einer Rechtsverletzung besteht, wenden Sie sich bitte an admin@php.cn