【SQL开发实战技巧】系列（二十五）：数仓报表场景☞结果集中的重复数据只显示一次以及计算部门薪资差异高效的写法以及如何对数据进行快速分组

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系列文章目录

文章目录

系列文章目录
前言
一、如何让结果集中的重复数据只显示一次
二、部门之间计算工资差异时也可以用行转列pivot
三、如何对已有数据进行分组打印
四、放假安排团队分组值班如何快速进行人员分组
总结

前言

本篇文章讲解的主要内容是如何使用lag函数让结果集重复数据只显示一次、用行转列pivot写法优化部门之间计算工资差异类似需求、如何通过ceil函数对已有数据进行分组打印、放假安排团队分组值班如何通过ntile()over(order by )快速进行人员分组
【SQL开发实战技巧】这一系列博主当作复习旧知识来进行写作毕竟SQL开发在数据分析场景非常重要且基础面试也会经常问SQL开发和调优经验相信当我写完这一系列文章也能再有所收获未来面对SQL面试也能游刃有余~。

一、如何让结果集中的重复数据只显示一次

我们返回的数据中经常会有重复值,如EMP.JOB,这些数据经常要求合并显示。这种一般都在前台处理,偶尔也有特殊情况,需要在返回时就只显示第一行数据,该如何处理呢其实用LAG进行判断即可。

SQL> select job,case when lag(job)over(order by a.job,ename)=job then null else job end as 职位,ename as 姓名
  2  from emp a
  3  order by a.job,a.ename;

JOB       职位      姓名
--------- --------- ----------
ANALYST   ANALYST   FORD
ANALYST             SCOTT
CLERK     CLERK     ADAMS
CLERK               JAMES
CLERK               MILLER
CLERK               SMITH
MANAGER   MANAGER   BLAKE
MANAGER             CLARK
MANAGER             JONES
PRESIDENT PRESIDENT KING
SALESMAN  SALESMAN  ALLEN
SALESMAN            MARTIN
SALESMAN            TURNER
SALESMAN            WARD
                    test

15 rows selected


SQL>

或许有人注意到,order by子句后的job加上了前缀。如果不加前缀,而且列别名仍然是job会出现什么情况

SQL> select  case when lag(job)over(order by a.job,ename)=job then null else job end job,ename
  2  from emp a
  3  order by job,a.ename;

JOB       ENAME
--------- ----------
ANALYST   FORD
CLERK     ADAMS
MANAGER   BLAKE
PRESIDENT KING
SALESMAN  ALLEN
          CLARK
          JAMES
          JONES
          MARTIN
          MILLER
          SCOTT
          SMITH
          TURNER
          WARD
          test

15 rows selected

可以看到,order by子句后优先使用的是"别名",而不是"列名",从而使排序结果与需求不一样。所以大家要养成加"前缀的习惯。

二、部门之间计算工资差异时也可以用行转列pivot

基础数据

SQL> select deptno,sum(sal) as sm from emp where deptno is not null group by deptno ;

DEPTNO         SM
------ ----------
    10       8750
    20      10875
    30       9400

现在有个需求要求计算部门20与部门10及部门20与部门30之间的总工资差额。
对于这个需求你会怎么做是不是像下面这样子

SQL> select (select sum(sal) from emp where deptno = 20) -
  2         (select sum(sal) from emp where deptno = 10) as d20_10,
  3         (select sum(sal) from emp where deptno = 20) -
  4         (select sum(sal) from emp where deptno = 30) as d20_30
  5    from dual;

    D20_10     D20_30
---------- ----------
      2125       1475

SQL> 
 Plan Hash Value  : 

------------------------------------------------------------------------
| Id  | Operation              | Name | Rows | Bytes | Cost | Time     |
------------------------------------------------------------------------
|   0 | SELECT STATEMENT       |      |    1 |       |   14 | 00:00:01 |
|   1 |   SORT AGGREGATE       |      |    1 |     7 |      |          |
| * 2 |    TABLE ACCESS FULL   | EMP  |    5 |    35 |    3 | 00:00:01 |
|   3 |     SORT AGGREGATE     |      |    1 |     7 |      |          |
| * 4 |      TABLE ACCESS FULL | EMP  |    3 |    21 |    3 | 00:00:01 |
|   5 |   SORT AGGREGATE       |      |    1 |     7 |      |          |
| * 6 |    TABLE ACCESS FULL   | EMP  |    5 |    35 |    3 | 00:00:01 |
|   7 |     SORT AGGREGATE     |      |    1 |     7 |      |          |
| * 8 |      TABLE ACCESS FULL | EMP  |    6 |    42 |    3 | 00:00:01 |
|   9 |   FAST DUAL            |      |    1 |       |    2 | 00:00:01 |
------------------------------------------------------------------------

Predicate Information (identified by operation id):
------------------------------------------
* 2 - filter("DEPTNO"=20)
* 4 - filter("DEPTNO"=10)
* 6 - filter("DEPTNO"=20)
* 8 - filter("DEPTNO"=30)

通过执行计划可以看到我们这个sql扫描了4次emp表性能挺差啊那如果让你优化你该怎么优化呢
对于这种需求,其实也可以通过"行转列"把各值提到同一行上后,再进行计算。

SQL> with t as
  2  
  3  select deptno, sum(sal) as sm
  4    from emp
  5   where deptno in (10, 20, 30)
  6   group by deptno 
  7             select d20_sm - d10_sm, d20_sm - d30_sm
  8               from t
  9             pivot(max(sm) as sm
 10                for deptno in(10 as d10, 20 as d20, 30 as d30));

D20_SM-D10_SM D20_SM-D30_SM
------------- -------------
         2125          1475

 Plan Hash Value  : 3261863285 

-------------------------------------------------------------------------
| Id  | Operation               | Name | Rows | Bytes | Cost | Time     |
-------------------------------------------------------------------------
|   0 | SELECT STATEMENT        |      |    1 |    39 |    4 | 00:00:01 |
|   1 |   VIEW                  |      |    1 |    39 |    4 | 00:00:01 |
|   2 |    SORT AGGREGATE       |      |    1 |    26 |      |          |
|   3 |     VIEW                |      |    3 |    78 |    4 | 00:00:01 |
|   4 |      SORT GROUP BY      |      |    3 |    21 |    4 | 00:00:01 |
| * 5 |       TABLE ACCESS FULL | EMP  |   13 |    91 |    3 | 00:00:01 |
-------------------------------------------------------------------------

Predicate Information (identified by operation id):
------------------------------------------
* 5 - filter("DEPTNO"=10 OR "DEPTNO"=20 OR "DEPTNO"=30)

可以看到只扫描了一次emp表

三、如何对已有数据进行分组打印

有时为了方便打印,会要求多行多列打印,如emp.ename类似下面这样显示

ADAMS      ALLEN      BLAKE      CLARK      FORD	
JAMES      JONES      KING       MARTIN     MILLER
SCOTT      SMITH      TURNER     WARD       test

要达到这个目的,需要以下操作。

生成序号

SQL> with t as
  2   (select rownum as rn, ename from (select ename from emp order by ename))--第一步根据名称进行字段顺序排序排序后取rownum值因为我想按照字段顺序打印
  3   select * from t
  4  ;

        RN ENAME
---------- ----------
         1 ADAMS
         2 ALLEN
         3 BLAKE
         4 CLARK
         5 FORD
         6 JAMES
         7 JONES
         8 KING
         9 MARTIN
        10 MILLER
        11 SCOTT
        12 SMITH
        13 TURNER
        14 WARD
        15 test

15 rows selected

通过ceil函数把数据分为几个组

SQL> 
SQL> with t as
  2   (select rownum as rn, ename from (select ename from emp order by ename)),--第一步根据名称进行字段顺序排序排序后取rownum值因为我想按照字段顺序打印
  3  t1 as
  4   (select ceil(rn / 5) as gp, ename from t)--我想一页展示五列
  5    select * from t
  6  ;

        RN ENAME
---------- ----------
         1 ADAMS
         2 ALLEN
         3 BLAKE
         4 CLARK
         5 FORD
         6 JAMES
         7 JONES
         8 KING
         9 MARTIN
        10 MILLER
        11 SCOTT
        12 SMITH
        13 TURNER
        14 WARD
        15 test

15 rows selected

给各组数据生成序号

SQL> with t as
  2   (select rownum as rn, ename from (select ename from emp order by ename)),--第一步根据名称进行字段顺序排序排序后取rownum值因为我想按照字段顺序打印
  3  t1 as
  4   (select ceil(rn / 5) as gp, ename from t),--我想一页展示五列
  5  t2 as
  6   (select gp, ename, row_number() over(partition by gp order by ename) as rnn--给每一列编一个序号便于行转列进行识别
  7      from t1)
  8  select *
  9    FROM t2
 10  ;

        GP ENAME             RNN
---------- ---------- ----------
         1 ADAMS               1
         1 ALLEN               2
         1 BLAKE               3
         1 CLARK               4
         1 FORD                5
         2 JAMES               1
         2 JONES               2
         2 KING                3
         2 MARTIN              4
         2 MILLER              5
         3 SCOTT               1
         3 SMITH               2
         3 TURNER              3
         3 WARD                4
         3 test                5

15 rows selected

通过分组生成序号,并进行行转列

SQL> 
SQL> with t as
  2   (select rownum as rn, ename from (select ename from emp order by ename)),--第一步根据名称进行字段顺序排序排序后取rownum值因为我想按照字段顺序打印
  3  t1 as
  4   (select ceil(rn / 5) as gp, ename from t),--我想一页展示五列
  5  t2 as
  6   (select gp, ename, row_number() over(partition by gp order by ename) as rnn--给每一列编一个序号便于行转列进行识别
  7      from t1)
  8  select *
  9    FROM t2
 10  pivot (max(ename) as e for rnn in(1 as d1,
 11                               2 as d2,
 12                               3 as d3,
 13                               4 as d4,
 14                               5 as d5));

        GP D1_E       D2_E       D3_E       D4_E       D5_E
---------- ---------- ---------- ---------- ---------- ----------
         1 ADAMS      ALLEN      BLAKE      CLARK      FORD
         2 JAMES      JONES      KING       MARTIN     MILLER
         3 SCOTT      SMITH      TURNER     WARD       test

有些前台打印功能较弱,就可以用这种办法直接返回需要的数据进行打印。

四、放假安排团队分组值班如何快速进行人员分组

现在有个需求五一五天假期快到了公司想安排公司成员分组每天一批进行值班怎么去快速将人员分成5组呢
我们可以用分析函数ntile来处理这个分组需求。

SQL> select ntile(5)over(order by empno) as gp,ename from emp;

        GP ENAME
---------- ----------
         1 test
         1 SMITH
         1 ALLEN
         2 WARD
         2 JONES
         2 MARTIN
         3 BLAKE
         3 CLARK
         3 SCOTT
         4 KING
         4 TURNER
         4 ADAMS
         5 JAMES
         5 FORD
         5 MILLER

15 rows selected