原创：http://blog.itpub.net/519536/viewspace-610995
本文通过演示给出Oracle ROLLUP分组函数的用法，体验一下Oracle在统计查询领域中的函数魅力。ROLLUP分组函数可以理解为Group By分组函数封装后的精简用法，这里同时给出ROLLUP的Group By的改写思路。
1.初始化实验坏境
1）创建测试表group_test
[email protected]> create table group_test (group_id int, job varchar2(10), name varchar2(10), salary int);
Table created.
2）初始化数据
insert into group_test values (10,‘Coding‘, ‘Bruce‘,1000);
insert into group_test values (10,‘Programmer‘,‘Clair‘,1000);
insert into group_test values (10,‘Architect‘, ‘Gideon‘,1000);
insert into group_test values (10,‘Director‘, ‘Hill‘,1000);
insert into group_test values (20,‘Coding‘, ‘Jason‘,2000);
insert into group_test values (20,‘Programmer‘,‘Joey‘,2000);
insert into group_test values (20,‘Architect‘, ‘Martin‘,2000);
insert into group_test values (20,‘Director‘, ‘Michael‘,2000);
insert into group_test values (30,‘Coding‘, ‘Rebecca‘,3000);
insert into group_test values (30,‘Programmer‘,‘Rex‘,3000);
insert into group_test values (30,‘Architect‘, ‘Richard‘,3000);
insert into group_test values (30,‘Director‘, ‘Sabrina‘,3000);
insert into group_test values (40,‘Coding‘, ‘Samuel‘,4000);
insert into group_test values (40,‘Programmer‘,‘Susy‘,4000);
insert into group_test values (40,‘Architect‘, ‘Tina‘,4000);
insert into group_test values (40,‘Director‘, ‘Wendy‘,4000);
commit;
3）初始化之后的数据情况如下：
[email protected]> set pages 100
[email protected]> select * from group_test;
GROUP_ID JOB NAME SALARY
---------- ---------- ---------- ----------
10 Coding Bruce 1000
10 Programmer Clair 1000
10 Architect Gideon 1000
10 Director Hill 1000
20 Coding Jason 2000
20 Programmer Joey 2000
20 Architect Martin 2000
20 Director Michael 2000
30 Coding Rebecca 3000
30 Programmer Rex 3000
30 Architect Richard 3000
30 Director Sabrina 3000
40 Coding Samuel 4000
40 Programmer Susy 4000
40 Architect Tina 4000
40 Director Wendy 4000
16 rows selected.
2.先看一下普通分组的效果：对group_id进行普通的group by操作---按照小组进行分组
[email protected]> select group_id,sum(salary) from group_test group by group_id;
GROUP_ID SUM(SALARY)
---------- -----------
30 12000
20 8000
40 16000
10 4000
3.对group_id进行普通的roolup操作---按照小组进行分组，同时求总计
[email protected]> select group_id,sum(salary) from group_test group by rollup(group_id);
GROUP_ID SUM(SALARY)
---------- -----------
10 4000
20 8000
30 12000
40 16000
40000
使用Group By语句翻译一下上面的SQL语句如下（union all一个统计所有数据的行）：
[email protected]> select group_id,sum(salary) from group_test group by group_id
2 union all
3 select null, sum(salary) from group_test
4 order by 1;
GROUP_ID SUM(SALARY)
---------- -----------
10 4000
20 8000
30 12000
40 16000
40000
4.再看一个rollup两列的情况
[email protected]> select group_id,job,sum(salary) from group_test group by rollup(group_id, job);
GROUP_ID JOB SUM(SALARY)
---------- ---------- -----------
10 Coding 1000
10 Director 1000
10 Architect 1000
10 Programmer 1000
10 4000
20 Coding 2000
20 Director 2000
20 Architect 2000
20 Programmer 2000
20 8000
30 Coding 3000
30 Director 3000
30 Architect 3000
30 Programmer 3000
30 12000
40 Coding 4000
40 Director 4000
40 Architect 4000
40 Programmer 4000
40 16000
40000
21 rows selected.
上面的SQL语句该如何使用Group By进行翻译呢？
答案如下：
[email protected]> select group_id,job,sum(salary) from group_test group by group_id, job
2 union all
3 select group_id,null,sum(salary) from group_test group by group_id
4 union all
5 select null,null,sum(salary) from group_test
6 order by 1,2;
GROUP_ID JOB SUM(SALARY)
---------- ---------- -----------
10 Architect 1000
10 Coding 1000
10 Director 1000
10 Programmer 1000
10 4000
20 Architect 2000
20 Coding 2000
20 Director 2000
20 Programmer 2000
20 8000
30 Architect 3000
30 Coding 3000
30 Director 3000
30 Programmer 3000
30 12000
40 Architect 4000
40 Coding 4000
40 Director 4000
40 Programmer 4000
40 16000
40000
21 rows selected.
5.补充一步，体验一下GROUPING函数的效果
直接看效果就OK啦：
[email protected]> select group_id,job,grouping(GROUP_ID),grouping(JOB),sum(salary) from group_test group by rollup(group_id, job);
GROUP_ID JOB GROUPING(GROUP_ID) GROUPING(JOB) SUM(SALARY)
---------- ---------- ------------------ ------------- -----------
10 Coding 0 0 1000
10 Director 0 0 1000
10 Architect 0 0 1000
10 Programmer 0 0 1000
10 0 1 4000
20 Coding 0 0 2000
20 Director 0 0 2000
20 Architect 0 0 2000
20 Programmer 0 0 2000
20 0 1 8000
30 Coding 0 0 3000
30 Director 0 0 3000
30 Architect 0 0 3000
30 Programmer 0 0 3000
30 0 1 12000
40 Coding 0 0 4000
40 Director 0 0 4000
40 Architect 0 0 4000
40 Programmer 0 0 4000
40 0 1 16000
1 1 40000
21 rows selected.
看出来什么效果了么？
有的同学还是没有看出来，小小的解释一下：
如果显示“1”表示GROUPING函数对应的列（例如JOB字段）是由于ROLLUP函数所产生的空值对应的信息，即对此列进行汇总计算后的结果。
如果显示“0”表示此行对应的这列参未与ROLLUP函数分组汇总活动。
如果还是没有理解清楚，请参见Oracle官方文档中的描述内容：“Using a single column as its argument, GROUPING returns 1 when it encounters a NULL value created by a ROLLUP or CUBE operation. That is, if the NULL indicates the row is a subtotal, GROUPING returns a 1. Any other type of value, including a stored NULL, returns a 0.”
6.小结
ROLLUP在数据统计和报表生成过程中带来极大的便利，而且效率比起来Group By + Union组合方法效率高得多。这也体现了Oracle在SQL统计分析上人性化、自动化、高效率的特点。
ROLLUP与GROUP BY的关系可以参考Oracle官方文档中的例子，链接如下：《ROLLUP Extension to GROUP BY》http://docs.oracle.com/cd/E11882_01/server.112/e25554/aggreg.htm#DWHSG8608
Good luck.
secooler
12.04.21
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