测试用户: scott
测试用表: dept,emp
//////////////////////////////////
//检索出需要进行统计的数据集
select dept.dname,emp.job,sal from emp,dept
where emp.deptno=dept.deptno;
//////////////////////////////////
//根据部门名称以及职位进行汇总,并为每个部门
生成小计,最后生成合计.
select
decode(grouping(dept.dname),1,合计:,dept.dname)dname,
decode(grouping(emp.job)+grouping(dept.dname),1,小计:,emp.job)job,sum(sal) sum_sal from emp,dept where emp.deptno=dept.deptno group by rollup(dept.dname,emp.job);
运行结果如下:
SQL> select dept.dname,emp.job,sal from emp,d
DNAME JOB SAL
-------------- --------- ----------
RESEARCH CLERK 800
SALES SALESMAN 1600
SALES SALESMAN 1250
RESEARCH MANAGER 2975
SALES SALESMAN 1250
SALES MANAGER 2850
ACCOUNTING MANAGER 2450
RESEARCH ANALYST 3000
ACCOUNTING PRESIDENT 5000
SALES SALESMAN 1500
RESEARCH CLERK 1100
DNAME JOB SAL
-------------- --------- ----------
SALES CLERK 950
RESEARCH ANALYST 3000
ACCOUNTING CLERK 1300
已选择14行。
SQL> select
2 decode(grouping(dept.dname),1,合计:,de
3 decode(grouping(emp.job)+grouping(dept.d
ept where emp.deptno=dept.deptno group by rol
DNAME JOB SUM_SAL
-------------- --------- ----------
ACCOUNTING CLERK 1300
ACCOUNTING MANAGER 2450
ACCOUNTING PRESIDENT 5000
ACCOUNTING 小计: 8750
RESEARCH ANALYST 6000
RESEARCH CLERK 1900
RESEARCH MANAGER 2975
RESEARCH 小计: 10875
SALES CLERK 950
SALES MANAGER 2850
SALES SALESMAN 5600
DNAME JOB SUM_SAL
-------------- --------- ----------
SALES 小计: 9400
合计: 29025
已选择13行。
SQL>