(资料图片仅供参考)
1.识别非小计行
1.1.结果集
1.2.DB2
1.3.Oracle
1.4.超级聚合(supera ggregate)值
1.4.1.sql
select deptno, job, sum(sal) sal, grouping(deptno) deptno_subtotals, grouping(job) job_subtotals from emp group by cube(deptno,job)
1.5.SQL Server
1.5.1.sql
select deptno, job, sum(sal) sal, grouping(deptno) deptno_subtotals, grouping(job) job_subtotals from emp group by deptno,job with cube
2.使用CASE表达式标记行数据
2.1.结果集
2.2.sql
select ename, case when job = "CLERK" then 1 else 0 end as is_clerk, case when job = "SALESMAN" then 1 else 0 end as is_sales, case when job = "MANAGER" then 1 else 0 end as is_mgr, case when job = "ANALYST" then 1 else 0 end as is_analyst, case when job = "PRESIDENT" then 1 else 0 end as is_prez from emp order by 2,3,4,5,6
3.创建稀疏矩阵
3.1.结果集
3.2.sql
select case deptno when 10 then ename end as d10, case deptno when 20 then ename end as d20, case deptno when 30 then ename end as d30, case job when "CLERK" then ename end as clerks, case job when "MANAGER" then ename end as mgrs, case job when "PRESIDENT" then ename end as prez, case job when "ANALYST" then ename end as anals, case job when "SALESMAN" then ename end as sales from emp
3.3.sql
select max(case deptno when 10 then ename end) d10, max(case deptno when 20 then ename end) d20, max(case deptno when 30 then ename end) d30, max(case job when "CLERK" then ename end) clerks, max(case job when "MANAGER" then ename end) mgrs, max(case job when "PRESIDENT" then ename end) prez, max(case job when "ANALYST" then ename end) anals, max(case job when "SALESMAN" then ename end) sales from (select deptno, job, ename, row_number()over(partition by deptno order by empno) rn from emp ) x group by rn
3.3.1.删除一些Null行,以便让整个报表显得“紧密”一些
4.按照时间单位分组
4.1.结果集
4.1.1.sql
select trx_id, trx_date, trx_cnt from trx_logTRX_ID TRX_DATE TRX_CNT------ -------------------- ---------- 1 28-JUL-2005 19:03:07 44 2 28-JUL-2005 19:03:08 18 3 28-JUL-2005 19:03:09 23 4 28-JUL-2005 19:03:10 29 5 28-JUL-2005 19:03:11 27 6 28-JUL-2005 19:03:12 45 7 28-JUL-2005 19:03:13 45 8 28-JUL-2005 19:03:14 32 9 28-JUL-2005 19:03:15 41 10 28-JUL-2005 19:03:16 15 11 28-JUL-2005 19:03:17 24 12 28-JUL-2005 19:03:18 47 13 28-JUL-2005 19:03:19 37 14 28-JUL-2005 19:03:20 48 15 28-JUL-2005 19:03:21 46 16 28-JUL-2005 19:03:22 44 17 28-JUL-2005 19:03:23 36 18 28-JUL-2005 19:03:24 41 19 28-JUL-2005 19:03:25 33 20 28-JUL-2005 19:03:26 19
4.1.2.结果集
GRP TRX_START TRX_END TOTAL--- -------------------- -------------------- ---------- 1 28-JUL-2005 19:03:07 28-JUL-2005 19:03:11 141 2 28-JUL-2005 19:03:12 28-JUL-2005 19:03:16 178 3 28-JUL-2005 19:03:17 28-JUL-2005 19:03:21 202 4 28-JUL-2005 19:03:22 28-JUL-2005 19:03:26 173
4.2.sql
select ceil(trx_id/5.0) as grp, min(trx_date) as trx_start, max(trx_date) as trx_end, sum(trx_cnt) as total from trx_log group by ceil(trx_id/5.0)
5.多维度聚合运算
5.1.结果集
5.2.DB2
5.3.Oracle
5.4.SQL Server
5.5.窗口函数COUNT OVER
5.5.1.sql
select ename, deptno, count(*)over(partition by deptno) deptno_cnt, job, count(*)over(partition by job) job_cnt, count(*)over() total from emp
5.6.PostgreSQL
5.7.MySQL
5.8.使用标量子查询
5.8.1.sql
select e.ename, e.deptno, (select count(*) from emp d where d.deptno = e.deptno) as deptno_cnt, job, (select count(*) from emp d where d.job = e.job) as job_cnt, (select count(*) from emp) as total from emp e
6.动态区间聚合运算
6.1.入职最早的员工的HIREDATE作为起始点,每隔90天计算一次工资合计值
6.1.1.结果集
HIREDATE SAL SPENDING_PATTERN----------- ------- ----------------17-DEC-1980 800 80020-FEB-1981 1600 240022-FEB-1981 1250 365002-APR-1981 2975 582501-MAY-1981 2850 867509-JUN-1981 2450 827508-SEP-1981 1500 150028-SEP-1981 1250 275017-NOV-1981 5000 775003-DEC-1981 950 1170003-DEC-1981 3000 1170023-JAN-1982 1300 1025009-DEC-1982 3000 300012-JAN-1983 1100 4100
6.2.DB2
6.3.Oracle
6.4.窗口函数SUM OVER
6.4.1.sql
select hiredat, sal, sum(sal)over(order by days(hiredate) range between 90 preceding and current row) spending_pattern from emp e
6.4.2.sql
select hiredate, sal, sum(sal)over(order by hiredate range between 90 preceding and current row) spending_pattern from emp e
6.4.2.1.Oracle的窗口函数支持DATE类型排序
6.5.PostgreSQL
6.6.MySQL
6.7.SQL Server
6.8.使用标量子查询
6.8.1.sql
select e.hiredate, e.sal, (select sum(sal) from emp d where d.hiredate between e.hiredate-90 and e.hiredate) as spending_pattern from emp e order by 1
7.变换带有小计的结果集
7.1.结果集
7.2.DB2
7.3.Oracle
7.4.使用GROUP BY的ROLLUP扩展
7.4.1.sql
select mgr, sum(case deptno when 10 then sal else 0 end) dept10, sum(case deptno when 20 then sal else 0 end) dept20, sum(case deptno when 30 then sal else 0 end) dept30, sum(case flag when "11" then sal else null end) total from ( select deptno,mgr,sum(sal) sal, cast(grouping(deptno) as char(1))|| cast(grouping(mgr) as char(1)) flag from emp where mgr is not null group by rollup(deptno,mgr) ) x group by mgr
7.5.SQL Server
7.5.1.sql
select mgr, sum(case deptno when 10 then sal else 0 end) dept10, sum(case deptno when 20 then sal else 0 end) dept20, sum(case deptno when 30 then sal else 0 end) dept30, sum(case flag when "11" then sal else null end) total from (select deptno,mgr,sum(sal) sal, cast(grouping(deptno) as char(1))+ cast(grouping(mgr) as char(1)) flag from emp where mgr is not null group by deptno,mgr with rollup ) x group by mgr
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