sum(),max(),avg(),RATIO_TO_REPORT()－－分组统计

Posted 2022-03-08 fanweisheng

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select id,area,

sum(1) over() as 总记录数,

sum(1) over(partition by id) as 分组记录数,

sum(score) over() as 总计 ,

sum(score) over(partition by id) as 分组求和,

sum(score) over(order by id) as 分组连续求和,

sum(score) over(partition by id,area) as 分组ID和area求和,

sum(score) over(partition by id order by area) as 分组ID并连续按area求和,

max(score) over() as 最大值,

max(score) over(partition by id) as 分组最大值,

max(score) over(order by id) as 分组连续最大值,

max(score) over(partition by id,area) as 分组ID和area求最大值,

max(score) over(partition by id order by area) as 分组ID并连续按area求最大值,

avg(score) over() as 所有平均,

avg(score) over(partition by id) as 分组平均,

avg(score) over(order by id) as 分组连续平均,

avg(score) over(partition by id,area) as 分组ID和area平均,

avg(score) over(partition by id order by area) as 分组ID并连续按area平均,

RATIO_TO_REPORT(score) over() as "占所有%",

RATIO_TO_REPORT(score) over(partition by id) as "占分组%",

score from students;

3、LAG(COL,n,default)、LEAD(OL,n,default) --取前后边N条数据

取前面记录的值：lag(score,n,x) over(order by id)

取后面记录的值：lead(score,n,x) over(order by id)

参数：n表示移动N条记录，X表示不存在时填充值，iD表示排序列

select id,lag(score,1,0) over(order by id) lg,score from students;

select id,lead(score,1,0) over(order by id) lg,score from students;

4、FIRST_VALUE()、LAST_VALUE()

取第起始1行值：first_value(score,n) over(order by id)

取第最后1行值：LAST_value(score,n) over(order by id)

select id,first_value(score) over(order by id) fv,score from students;

select id,last_value(score) over(order by id) fv,score from students;

sum(...) over ...

【功能】连续求和分析函数

【参数】具体参示例

【说明】Oracle分析函数

NC示例：

select bdcode,sum(1) over(order by bdcode) aa from bd_bdinfo

【示例】

1.原表信息： SQL> break on deptno skip 1 -- 为效果更明显，把不同部门的数据隔段显示。

SQL> select deptno,ename,sal

2 from emp

3 order by deptno;

DEPTNO ENAME SAL

---------- ---------- ----------

10 CLARK 2450

KING 5000

MILLER 1300

20 SMITH 800

ADAMS 1100

FORD 3000

SCOTT 3000

JONES 2975

30 ALLEN 1600

BLAKE 2850

MARTIN 1250

JAMES 950

TURNER 1500

WARD 1250

2.先来一个简单的，注意over(...)条件的不同，

使用 sum(sal) over (order by ename)... 查询员工的薪水“连续”求和,

注意over (order by ename)如果没有order by 子句，求和就不是“连续”的，

放在一起，体会一下不同之处：

SQL> select deptno,ename,sal,

2 sum(sal) over (order by ename) 连续求和,

3 sum(sal) over () 总和, -- 此处sum(sal) over () 等同于sum(sal)

4 100*round(sal/sum(sal) over (),4) "份额(%)"

5 from emp

6 /

DEPTNO ENAME SAL 连续求和总和份额(%)

---------- ---------- ---------- ---------- ---------- ----------

20 ADAMS 1100 1100 29025 3.79

30 ALLEN 1600 2700 29025 5.51

30 BLAKE 2850 5550 29025 9.82

10 CLARK 2450 8000 29025 8.44

20 FORD 3000 11000 29025 10.34

30 JAMES 950 11950 29025 3.27

20 JONES 2975 14925 29025 10.25

10 KING 5000 19925 29025 17.23

30 MARTIN 1250 21175 29025 4.31

10 MILLER 1300 22475 29025 4.48

20 SCOTT 3000 25475 29025 10.34

20 SMITH 800 26275 29025 2.76

30 TURNER 1500 27775 29025 5.17

30 WARD 1250 29025 29025 4.31

3.使用子分区查出各部门薪水连续的总和。注意按部门分区。注意over(...)条件的不同，

sum(sal) over (partition by deptno order by ename) 按部门“连续”求总和

sum(sal) over (partition by deptno) 按部门求总和

sum(sal) over (order by deptno，ename) 不按部门“连续”求总和

sum(sal) over () 不按部门，求所有员工总和，效果等同于sum(sal)。

SQL> select deptno,ename,sal,

2 sum(sal) over (partition by deptno order by ename) 部门连续求和,--各部门的薪水"连续"求和

3 sum(sal) over (partition by deptno) 部门总和, -- 部门统计的总和，同一部门总和不变

4 100*round(sal/sum(sal) over (partition by deptno),4) "部门份额(%)",

5 sum(sal) over (order by deptno,ename) 连续求和, --所有部门的薪水"连续"求和

6 sum(sal) over () 总和, -- 此处sum(sal) over () 等同于sum(sal)，所有员工的薪水总和

7 100*round(sal/sum(sal) over (),4) "总份额(%)"

8 from emp

9 /

DEPTNO ENAME SAL 部门连续求和部门总和部门份额(%) 连续求和总和总份额(%)

------ ------ ----- ------------ ---------- ----------- ---------- ------ ----------

10 CLARK 2450 2450 8750 28 2450 29025 8.44

KING 5000 7450 8750 57.14 7450 29025 17.23

MILLER 1300 8750 8750 14.86 8750 29025 4.48

20 ADAMS 1100 1100 10875 10.11 9850 29025 3.79

FORD 3000 4100 10875 27.59 12850 29025 10.34

JONES 2975 7075 10875 27.36 15825 29025 10.25

SCOTT 3000 10075 10875 27.59 18825 29025 10.34

SMITH 800 10875 10875 7.36 19625 29025 2.76

30 ALLEN 1600 1600 9400 17.02 21225 29025 5.51

BLAKE 2850 4450 9400 30.32 24075 29025 9.82

JAMES 950 5400 9400 10.11 25025 29025 3.27

MARTIN 1250 6650 9400 13.3 26275 29025 4.31

TURNER 1500 8150 9400 15.96 27775 29025 5.17

WARD 1250 9400 9400 13.3 29025 29025 4.31

4.来一个综合的例子，求和规则有按部门分区的，有不分区的例子

SQL> select deptno,ename,sal,sum(sal) over (partition by deptno order by sal) dept_sum,

2 sum(sal) over (order by deptno,sal) sum

3 from emp;

DEPTNO ENAME SAL DEPT_SUM SUM

---------- ---------- ---------- ---------- ----------

10 MILLER 1300 1300 1300

CLARK 2450 3750 3750

KING 5000 8750 8750

20 SMITH 800 800 9550

ADAMS 1100 1900 10650

JONES 2975 4875 13625

SCOTT 3000 10875 19625

FORD 3000 10875 19625

30 JAMES 950 950 20575

WARD 1250 3450 23075

MARTIN 1250 3450 23075

TURNER 1500 4950 24575

ALLEN 1600 6550 26175

BLAKE 2850 9400 29025

5.来一个逆序的，即部门从大到小排列，部门里各员工的薪水从高到低排列，累计和的规则不变。

SQL> select deptno,ename,sal,

2 sum(sal) over (partition by deptno order by deptno desc,sal desc) dept_sum,

3 sum(sal) over (order by deptno desc,sal desc) sum

4 from emp;

DEPTNO ENAME SAL DEPT_SUM SUM

---------- ---------- ---------- ---------- ----------

30 BLAKE 2850 2850 2850

ALLEN 1600 4450 4450

TURNER 1500 5950 5950

WARD 1250 8450 8450

MARTIN 1250 8450 8450

JAMES 950 9400 9400

20 SCOTT 3000 6000 15400

FORD 3000 6000 15400

JONES 2975 8975 18375

ADAMS 1100 10075 19475

SMITH 800 10875 20275

10 KING 5000 5000 25275

CLARK 2450 7450 27725

MILLER 1300 8750 29025

6.体会：在"... from emp;"后面不要加order by 子句，使用的分析函数的(partition by deptno order by sal)

里已经有排序的语句了，如果再在句尾添加排序子句，一致倒罢了，不一致，结果就令人费劲了。如：

SQL> select deptno,ename,sal,sum(sal) over (partition by deptno order by sal) dept_sum,

2 sum(sal) over (order by deptno,sal) sum

3 from emp

4 order by deptno desc;

DEPTNO ENAME SAL DEPT_SUM SUM

---------- ---------- ---------- ---------- ----------

30 JAMES 950 950 20575

WARD 1250 3450 23075

MARTIN 1250 3450 23075

TURNER 1500 4950 24575

ALLEN 1600 6550 26175

BLAKE 2850 9400 29025

20 SMITH 800 800 9550

ADAMS 1100 1900 10650

JONES 2975 4875 13625

SCOTT 3000 10875 19625

FORD 3000 10875 19625

10 MILLER 1300 1300 1300

CLARK 2450 3750 3750

KING 5000 8750 8750

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