Oracle和MySQL分组查询GROUP BY
真题2、Oracle和MySQL中的分组（GROUP BY）后的聚合函数分别是什么？
答案：在Oracle中，可以用WM_CONCAT函数或LISTAGG分析函数；在MySQL中可以使用GROUP_CONCAT函数。示例如下：
首先给出建表语句：
CREATE TABLE T_MAX_LHR (ARTICLE VARCHAR2(30),AUTHOR VARCHAR2(30),PRICE NUMBER); --Oracle
--CREATE TABLE T_MAX_LHR (ARTICLE VARCHAR(30),AUTHOR VARCHAR(30),PRICE FLOAT); --MySQL oracle通用
INSERT INTO T_MAX_LHR VALUES ('0001','B',3.99);
INSERT INTO T_MAX_LHR VALUES ('0002','A',10.99);
INSERT INTO T_MAX_LHR VALUES ('0003','C',1.69);
INSERT INTO T_MAX_LHR VALUES ('0004','B',19.95);
INSERT INTO T_MAX_LHR VALUES ('0005','A',6.96);
COMMIT;
SELECT * FROM T_MAX_LHR;
在MySQL中：
mysql> SELECT T.AUTHOR, GROUP_CONCAT(T.ARTICLE), GROUP_CONCAT(T.PRICE)
-> FROM T_MAX_LHR T
-> GROUP BY T.AUTHOR;
+--------+-------------------------+-----------------------+
| AUTHOR | GROUP_CONCAT(T.ARTICLE) | GROUP_CONCAT(T.PRICE) |
+--------+-------------------------+-----------------------+
| A | 0002,0005 | 10.99,6.96 |
| B | 0001,0004 | 3.99,19.95 |
| C | 0003 | 1.69 |
+--------+-------------------------+-----------------------+
3 rows in set (0.00 sec)
在Oracle中：
LHR@orclasm > SELECT T.AUTHOR, WM_CONCAT(T.ARTICLE) ARTICLE, WM_CONCAT(T.PRICE) PRICE
2 FROM T_MAX_LHR T
3 GROUP BY T.AUTHOR;
AUTHOR ARTICLE PRICE
-------- --------------- ---------------
A 0002,0005 10.99,6.96
B 0001,0004 3.99,19.95
C 0003 1.69
LHR@orclasm > SELECT T.AUTHOR,
2 LISTAGG(T.ARTICLE, ',') WITHIN GROUP(ORDER BY T.PRICE) ARTICLE,
3 LISTAGG(T.PRICE, ',') WITHIN GROUP(ORDER BY T.PRICE) PRICE
4 FROM T_MAX_LHR T
5 GROUP BY T.AUTHOR;
AUTHOR ARTICLE PRICE
-------- --------------- ---------------
A 0005,0002 6.96,10.99
B 0001,0004 3.99,19.95
C 0003 1.69
<span "="" style="font-family:宋体, Arial;color:#EE33EE;font-size:16px;white-space:normal;background-color:#FFFFFF;"> 原作者不知道是谁了，这个图不是小麦苗画的。
MySQL分组查询group by使用示例
(1) group by的含义:将查询结果按照1个或多个字段进行分组，字段值相同的为一组
(2) group by可用于单个字段分组，也可用于多个字段分组
select * from employee;
+------+------+--------+------+------+-------------+
| num | d_id | name | age | sex | homeaddr |
+------+------+--------+------+------+-------------+
| 1 | 1001 | 张三 | 26 | 男 | beijinghdq |
| 2 | 1002 | 李四 | 24 | 女 | beijingcpq |
| 3 | 1003 | 王五 | 25 | 男 | changshaylq |
| 4 | 1004 | Aric | 15 | 男 | England |
+------+------+--------+------+------+-------------+
select * from employee group by d_id,sex;
select * from employee group by sex;
+------+------+--------+------+------+------------+
| num | d_id | name | age | sex | homeaddr
|+------+------+--------+------+------+------------+
| 2 | 1002 | 李四 | 24 | 女 | beijingcpq |
| 1 | 1001 | 张三 | 26 | 男 | beijinghdq |
+------+------+--------+------+------+------------+
根据sex字段来分组，sex字段的全部值只有两个('男'和'女')，所以分为了两组 当group by单独使用时，只显示出每组的第一条记录 所以group by单独使用时的实际意义不大
group by + group_concat()
(1) group_concat(字段名)可以作为一个输出字段来使用，
(2) 表示分组之后，根据分组结果，使用group_concat()来放置每一组的某字段的值的集合
select sex from employee group by sex;
+------+
| sex |
+------+
| 女 |
| 男 |
+------+
select sex,group_concat(name) from employee group by sex;
+------+--------------------+
| sex | group_concat(name) |
+------+--------------------+
| 女 | 李四 |
| 男 | 张三,王五,Aric |
+------+--------------------+
select sex,group_concat(d_id) from employee group by sex;
+------+--------------------+
| sex | group_concat(d_id) |
+------+--------------------+
| 女 | 1002 |
| 男 | 1001,1003,1004 |
+------+--------------------+
group by + 集合函数
(1) 通过group_concat()的启发，我们既然可以统计出每个分组的某字段的值的集合，那么我们也可以通过集合函数来对这个"值的集合"做一些操作
select sex,group_concat(age) from employee group by sex;
+------+-------------------+
| sex | group_concat(age) |
+------+-------------------+
| 女 | 24 |
| 男 | 26,25,15 |
+------+-------------------+
分别统计性别为男/女的人年龄平均值
select sex,avg(age) from employee group by sex;
+------+----------+
| sex | avg(age) |
+------+----------+
| 女 | 24.0000 |
| 男 | 22.0000 |
+------+----------+
分别统计性别为男/女的人的个数
select sex,count(sex) from employee group by sex;
+------+------------+
| sex | count(sex) |
+------+------------+
| 女 | 1 |
| 男 | 3 |
+------+------------+
group by + having
(1) having 条件表达式：用来分组查询后指定一些条件来输出查询结果
(2) having作用和where一样，但having只能用于group by
select sex,count(sex) from employee group by sex having count(sex)>2;
+------+------------+
| sex | count(sex) |
+------+------------+
| 男 | 3 |
+------+------------+
group by + with rollup
(1) with rollup的作用是：在最后新增一行，来记录当前列里所有记录的总和
select sex,count(age) from employee group by sex with