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SQL报表统计-with as、vm_concat(Oracle)-group_concat(MySQL)

2014-05-19 10:14 489 查看
ORACLE

以下转自:http://snkcxy.iteye.com/blog/2067814

我们使用oracle做一些统计的时候,时常碰到如下场景:

1.竖列转横列

2.分组并合并某列作为结果集

3.分组排序取首条记录

我们使用一个简化的业务场景,来展示这三个场景如何使用sql来解决。

业务场景:一张表记录着员工的出勤记录

业务需求:(对应上面的三个场景)

1.统计员工某年的每月出勤记录数

2.查询每个人的出勤记录

3.获得每个员工第一天上班的出勤记录

首先我们先创建测试数据表和测试数据

Sql代码


--创建考勤记录表
CREATE TABLE T_ATTENDANCE_LOG
(
ID_ VARCHAR(36),
USERNAME_ VARCHAR(255),
LOGDATE_ VARCHAR(100)
)

--初始化一些测试数据
insert into T_ATTENDANCE_LOG (ID_,USERNAME_,LOGDATE_) VALUES ('1','张三','2014-02-01');
insert into T_ATTENDANCE_LOG (ID_,USERNAME_,LOGDATE_) VALUES ('2','张三','2014-02-02');
insert into T_ATTENDANCE_LOG (ID_,USERNAME_,LOGDATE_) VALUES ('3','张三','2014-02-03');
insert into T_ATTENDANCE_LOG (ID_,USERNAME_,LOGDATE_) VALUES ('4','张三','2014-02-04');
insert into T_ATTENDANCE_LOG (ID_,USERNAME_,LOGDATE_) VALUES ('5','张三','2014-02-05');
insert into T_ATTENDANCE_LOG (ID_,USERNAME_,LOGDATE_) VALUES ('6','张三','2014-02-06');

insert into T_ATTENDANCE_LOG (ID_,USERNAME_,LOGDATE_) VALUES ('11','李四','2014-03-01');
insert into T_ATTENDANCE_LOG (ID_,USERNAME_,LOGDATE_) VALUES ('12','李四','2014-04-01');
insert into T_ATTENDANCE_LOG (ID_,USERNAME_,LOGDATE_) VALUES ('13','李四','2014-05-01');

insert into T_ATTENDANCE_LOG (ID_,USERNAME_,LOGDATE_) VALUES ('21','王五','2014-02-15');
insert into T_ATTENDANCE_LOG (ID_,USERNAME_,LOGDATE_) VALUES ('22','王五','2014-03-15');

--查询
SELECT T.*,T.ROWID FROM T_ATTENDANCE_LOG T;

结果:



1.统计员工2014年的每月出勤情况

Sql代码


with sql1 as
(
select USERNAME_,substr(LOGDATE_,0,7) as a,count(LOGDATE_) as b from T_ATTENDANCE_LOG
group by USERNAME_,substr(LOGDATE_,0,7)
)
select USERNAME_,
sum(case A when '2014-01' then B end) 一月,
sum(case A when '2014-02' then B end) 二月,
sum(case A when '2014-03' then B end) 三月,
sum(case A when '2014-04' then B end) 四月,
sum(case A when '2014-05' then B end) 五月,
sum(case A when '2014-06' then B end) 六月,
sum(case A when '2014-07' then B end) 七月,
sum(case A when '2014-08' then B end) 八月,
sum(case A when '2014-09' then B end) 九月,
sum(case A when '2014-10' then B end) 十月,
sum(case A when '2014-11' then B end) 十一月,
sum(case A when '2014-12' then B end) 十二月
from sql1 group by USERNAME_

这里用到“sql统计利器”--with。

结果:



2.查询每个人的出勤记录

Sql代码


select USERNAME_ as 员工,wmsys.wm_concat(LOGDATE_) as 出勤记录 from T_ATTENDANCE_LOG t group by USERNAME_

结果:



但是我们发现这个统计出来的结果是乱序,改造一下

Sql代码


select USERNAME_ as 员工, max(r) as 出勤记录 from (
select USERNAME_,wmsys.wm_concat(LOGDATE_) OVER(PARTITION BY USERNAME_ ORDER BY LOGDATE_) r
from T_ATTENDANCE_LOG t
)group by USERNAME_

改造结果:



3.获得每个员工第一天上班的出勤记录

Sql代码


SELECT * FROM
(
--分组排序加序号
select USERNAME_,LOGDATE_,ROW_NUMBER() OVER(PARTITION BY USERNAME_ ORDER BY LOGDATE_) r
from T_ATTENDANCE_LOG t
group by USERNAME_,LOGDATE_
) where R=1

结果:





MYSQL

以下转自:http://www.poluoluo.com/jzxy/200812/53698.html

本文通过实例介绍了MySQL中的group_concat函数的使用方法,比如select group_concat(name) 。

MySQL中group_concat函数

完整的语法如下:

group_concat([DISTINCT] 要连接的字段 [Order BY ASC/DESC 排序字段] [Separator '分隔符'])

基本查询

mysql> select * from aa;

+------+------+

| id| name |

+------+------+

|1 | 10|

|1 | 20|

|1 | 20|

|2 | 20|

|3 | 200 |

|3 | 500 |

+------+------+

6 rows in set (0.00 sec)

以id分组,把name字段的值打印在一行,逗号分隔(默认)

mysql> select id,group_concat(name) from aa group by id;

+------+--------------------+

| id| group_concat(name) |

+------+--------------------+

|1 | 10,20,20|

|2 | 20 |

|3 | 200,500|

+------+--------------------+

3 rows in set (0.00 sec)

以id分组,把name字段的值打印在一行,分号分隔

mysql> select id,group_concat(name separator ';') from aa group by id;

+------+----------------------------------+

| id| group_concat(name separator ';') |

+------+----------------------------------+

|1 | 10;20;20 |

|2 | 20|

|3 | 200;500 |

+------+----------------------------------+

3 rows in set (0.00 sec)

以id分组,把去冗余的name字段的值打印在一行,

逗号分隔

mysql> select id,group_concat(distinct name) from aa group by id;

+------+-----------------------------+

| id| group_concat(distinct name) |

+------+-----------------------------+

|1 | 10,20|

|2 | 20 |

|3 | 200,500 |

+------+-----------------------------+

3 rows in set (0.00 sec)

以id分组,把name字段的值打印在一行,逗号分隔,以name排倒序

mysql> select id,group_concat(name order by name desc) from aa group by id;

+------+---------------------------------------+

| id| group_concat(name order by name desc) |

+------+---------------------------------------+

|1 | 20,20,10 |

|2 | 20|

|3 | 500,200|

+------+---------------------------------------+

3 rows in set (0.00 sec)
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