原文： http://blog.csdn.net/wh62592855/article/details/4818072

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GROUPING函數可以接受一列，返回0或者1。如果列值為空，那么GROUPING()返回1；如果列值非空，那么返回0。GROUPING只能在使用ROLLUP或CUBE的查詢中使用。當需要在返回空值的地方顯示某個值時，GROUPING()就非常有用。

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關于ROLLUP和CUBE函數的使用，請參見我的另一篇文章。

http://blog.csdn.net/wh62592855/archive/2009/11/16/4817920.aspx

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1、在ROLLUP中對單列使用GROUPING()

SQL> select division_id,sum(salary)
? ? from employees2
? ? group by rollup(division_id)
? ? order by division_id;

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DIV SUM(SALARY)
--- -----------
BUS???? 1610000
OPE???? 1320000
SAL???? 4936000
SUP???? 1015000
??????? 8881000

加上GROUPING來看看

SQL> select grouping(division_id),division_id,sum(salary)
? ? from employees2
? ? group by rollup(division_id)
? ? order by division_id;

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GROUPING(DIVISION_ID) DIV SUM(SALARY)
--------------------- --- -----------
??????????????????? 0 BUS???? 1610000
??????????????????? 0 OPE???? 1320000
??????????????????? 0 SAL???? 4936000
??????????????????? 0 SUP???? 1015000
??????????????????? 1???????? 8881000
可以看到，為空的地方返回1，非空的地方返回0。

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2、使用CASE轉換GROUPING()的返回值

可能你會覺得前面的0和1太枯燥了，代表不了任何意義，說白了就是不夠人性化，呵呵。這個時候我們可以使用CASE來轉換為一些有意義的值。

SQL> select
? ? case grouping(division_id)
? ? when 1 then 'all divisions'
? ? else division_id
? ? end as div,
? ? sum(salary)
? ? from employees2
? ? group by rollup(division_id)
? ? order by division_id;

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DIV?????????? SUM(SALARY)
------------- -----------
BUS?????????????? 1610000
OPE?????????????? 1320000
SAL?????????????? 4936000
SUP?????????????? 1015000
all divisions???? 8881000

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3、使用CASE和GROUPING()轉換多個列的值

SQL> select
? ? case grouping(division_id)
? ? when 1 then 'all divisions'
? ? else division_id
? ? end as div,
? ? case grouping(job_id)
? ? when 1 then 'all jobs'
? ? else job_id
? ? end as job,
? ?sum(salary)
? ?from employees2
? ?group by rollup(division_id,job_id)
? ?order by division_id,job_id;

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DIV?????????? JOB????? SUM(SALARY)
------------- -------- -----------
BUS?????????? MGR?????????? 530000
BUS?????????? PRE?????????? 800000
BUS?????????? WOR?????????? 280000
BUS?????????? all jobs???? 1610000
OPE?????????? ENG?????????? 245000
OPE?????????? MGR?????????? 805000
OPE?????????? WOR?????????? 270000
OPE?????????? all jobs???? 1320000
SAL?????????? MGR????????? 4446000
SAL?????????? WOR?????????? 490000
SAL?????????? all jobs???? 4936000

DIV?????????? JOB????? SUM(SALARY)
------------- -------- -----------
SUP?????????? MGR?????????? 465000
SUP?????????? TEC?????????? 115000
SUP?????????? WOR?????????? 435000
SUP?????????? all jobs???? 1015000
all divisions all jobs???? 8881000

16 rows selected.

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4、CUBE與GROUPING()結合使用

SQL> select
? ? case grouping(division_id)
? ? when 1 then 'all divisions'
? ? else division_id
? ? end as div,
? ? case grouping(job_id)
? ? when 1 then 'all jobs'
? ? else job_id
? ? end as job,
? ?sum(salary)
? ?from employees2
? ?group by cube(division_id,job_id)
? ?order by division_id,job_id;

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DIV?????????? JOB????? SUM(SALARY)
------------- -------- -----------
BUS?????????? MGR?????????? 530000
BUS?????????? PRE?????????? 800000
BUS?????????? WOR?????????? 280000
BUS?????????? all jobs???? 1610000
OPE?????????? ENG?????????? 245000
OPE?????????? MGR?????????? 805000
OPE?????????? WOR?????????? 270000
OPE?????????? all jobs???? 1320000
SAL?????????? MGR????????? 4446000
SAL?????????? WOR?????????? 490000
SAL?????????? all jobs???? 4936000

DIV?????????? JOB????? SUM(SALARY)
------------- -------- -----------
SUP?????????? MGR?????????? 465000
SUP?????????? TEC?????????? 115000
SUP?????????? WOR?????????? 435000
SUP?????????? all jobs???? 1015000
all divisions ENG?????????? 245000
all divisions MGR????????? 6246000
all divisions PRE?????????? 800000
all divisions TEC?????????? 115000
all divisions WOR????????? 1475000
all divisions all jobs???? 8881000

21 rows selected.

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5、使用GROUPING SETS子句

使用GROUPING SETS子句可以只返回小計記錄。

SQL> select division_id,job_id,sum(salary)
? ? from employees2
? ? group by grouping sets(division_id,job_id)
? ? order by division_id,job_id;

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DIV JOB SUM(SALARY)
--- --- -----------
BUS???????? 1610000
OPE???????? 1320000
SAL???????? 4936000
SUP???????? 1015000
??? ENG????? 245000
??? MGR???? 6246000
??? PRE????? 800000
??? TEC????? 115000
??? WOR???? 1475000

9 rows selected.

ORACLE GROUPING函數的使用