前言

本篇文章讲解的主要内容是：通过执行计划看开窗函数开窗语法rows\range between preceding and current row以及rows\range between unbounded preceding and unbounded following对移动范围的值进行聚集的原理以及区别、如何通过一个SQL打印九九乘法口表！！！
【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、对移动范围的值进行聚集

现在有个需求：要求在员工明细表中显示之前90天（包含90)以内聘用人员的工资总和。
我以部门30为例,在这里给大家标量及分析函数两种方式的写法示例及解释。

SQL> select hiredate,
  2         sal,
  3         (select sum(sal)
  4            from emp aa
  5           where aa.hiredate <= a.hiredate
  6             and aa.hiredate >= (a.hiredate - 90)
  7             and aa.deptno = 30) as 标量求值,
  8         '(' || to_char(hiredate - 90, 'yyyy-mm-dd') || '~' ||
  9         to_char(hiredate, 'yyyy-mm-dd') || ')' as 时间范围,
 10         sum(sal) over(order by hiredate range between 90 preceding and current row) as 分析函数求值,
 11         (select listagg(sal, '+') within group(order by hiredate)
 12            from emp s
 13           where deptno = 30
 14             and s.hiredate >= (a.hiredate - 90)
 15             and s.hiredate <= a.hiredate) as 公式推导
 16    from emp a
 17   where a.deptno = 30;

HIREDATE          SAL       标量求值 时间范围                                                                             分析函数求值 公式推导
----------- --------- ---------- -------------------------------------------------------------------------------- ---------- --------------------------------------------------------------------------------
1981-2-20     1600.00       1600 (1980-11-22~1981-02-20)                                                                1600 1600
1981-2-22     1250.00       2850 (1980-11-24~1981-02-22)                                                                2850 1600+1250
1981-5-1      2850.00       5700 (1981-01-31~1981-05-01)                                                                5700 1600+1250+2850
1981-9-8      1500.00       1500 (1981-06-10~1981-09-08)                                                                1500 1500
1981-9-28     1250.00       2750 (1981-06-30~1981-09-28)                                                                2750 1500+1250
1981-12-3      950.00       3700 (1981-09-04~1981-12-03)                                                                3700 1500+1250+950

6 rows selected

因用RANGE关键字表示要对相应的字段做加减运算,所以只有对日期与数值两类字段使用RANGE开窗。
对于日期RANGE开窗,默认单位是“天”,如果需求改为三个月内的数据呢？我们可以用INTERVAL来写明间隔单位：

SQL> select hiredate,
  2         sal,
  3         sum(sal) over(order by hiredate range between interval '3' month preceding and current row) as 分析函数求值
  4    from emp a
  5   where a.deptno = 30;

HIREDATE          SAL     分析函数求值
----------- --------- ----------
1981-2-20     1600.00       1600
1981-2-22     1250.00       2850
1981-5-1      2850.00       5700
1981-9-8      1500.00       1500
1981-9-28     1250.00       2750
1981-12-3      950.00       3700

6 rows selected

如果按分钟开窗呢？

SQL> select aa.ADDRESS,
  2         count(*) over(order by aa.LAST_ACTIVE_TIME range between interval '30' minute preceding and current row) as interval_cnt,
  3         count(*) over(order by aa.LAST_ACTIVE_TIME range between 30 / 24 / 60 preceding and current row) as ceil_cnt
  4    from v$sql aa
  5   where aa.LAST_ACTIVE_TIME >= trunc(sysdate)
  6   and rownum<=10;

ADDRESS          INTERVAL_CNT   CEIL_CNT
---------------- ------------ ----------
0000000EF7A8E3F0            1          1
0000000F1E29E158            1          1
0000000F18C1C570            2          2
0000000F1A5C9B20            1          1
0000000F1AB3DBB0            1          1
0000000F06D2B370            1          1
0000000F0D8CF5D0            1          1
0000000F06D2B370            1          1
0000000EFCE2BA78            1          1
0000000F0D8CF5D0            1          1

10 rows selected

用30 / 24 / 60 或interval '30' minute都可以,当然后一种更直观。

二、详细分析常用分析函数开窗过程

本节汇总演示分析函数常见的几种用法及区别。
1、工资排序后取第一行到当前行范围内的最小值。

SQL> select ename,
  2         sal,
  3         /*因是按工资排序，所以这个语句返回的结果就是所有行的最小值*/
  4         min(sal) over(order by sal) as min1,
  5         /*上述语句默认参数如下，下面plan中可以看到*/
  6         min(sal) over(order by sal range between unbounded preceding and current row) min2,
  7         /*这种情况卡，rows与RANGE返回数据一样*/
  8         min(sal) over(order by sal rows between unbounded preceding and current row) min3,
  9         /*取所有行内最小值，可以与前面返回的值对比查看*/
 10         min(sal) over() as min4,
 11         /*如果明确写出上面min14的范围就是*/
 12         min(sal) over(order by sal range between unbounded preceding and unbounded following) as min5,
 13         /*这种情况下，rows与RANGE返回数据一样*/
 14         min(sal) over(order by sal rows between unbounded preceding and unbounded following) as min6
 15    from emp
 16   where deptno = 30;

ENAME            SAL       MIN1       MIN2       MIN3       MIN4       MIN5       MIN6
---------- --------- ---------- ---------- ---------- ---------- ---------- ----------
JAMES         950.00        950        950        950        950        950        950
WARD         1250.00        950        950        950        950        950        950
MARTIN       1250.00        950        950        950        950        950        950
TURNER       1500.00        950        950        950        950        950        950
ALLEN        1600.00        950        950        950        950        950        950
BLAKE        2850.00        950        950        950        950        950        950

6 rows selected


SQL>

为了看到上面 min(sal) over(order by sal) as min1在执行计划中到底是转译成了什么语句，这里专门改写成一个独立sql后，然后拿到的实际执行计划：

SQL> set linesize 200
set pagesize 2000
select * from table(dbms_xplan.display_cursor('&A',0,'advanced'));
SQL> SQL> Enter value for a: 5pffdrwf22rk8
old   1: select * from table(dbms_xplan.display_cursor('&A',0,'advanced'))
new   1: select * from table(dbms_xplan.display_cursor('5pffdrwf22rk8',0,'advanced'))

PLAN_TABLE_OUTPUT
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
SQL_ID    5pffdrwf22rk8, child number 0
-------------------------------------
select /*12345*/ ename,        sal,
/*因按工资排序，所以这个语句与上面sal返回的值一样*/     min(sal) over(order by sal) as min1
 from emp  where deptno = :"SYS_B_0"

Plan hash value: 3145491563

---------------------------------------------------------------------------
| Id  | Operation       | Name | Rows  | Bytes | Cost (%CPU)| Time      |
---------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |      |      |      |    4 (100)|      |
|   1 |  WINDOW SORT       |      |    6 |    78 |    4  (25)| 00:00:01 |
|*  2 |   TABLE ACCESS FULL| EMP  |    6 |    78 |    3   (0)| 00:00:01 |
---------------------------------------------------------------------------

Query Block Name / Object Alias (identified by operation id):
-------------------------------------------------------------

   1 - SEL$1
   2 - SEL$1 / EMP@SEL$1

Outline Data
-------------

  /*+
      BEGIN_OUTLINE_DATA
      IGNORE_OPTIM_EMBEDDED_HINTS
      OPTIMIZER_FEATURES_ENABLE('12.1.0.2')
      DB_VERSION('12.1.0.2')
      OPT_PARAM('_b_tree_bitmap_plans' 'false')
      OPT_PARAM('_bloom_filter_enabled' 'false')
      OPT_PARAM('_optimizer_extended_cursor_sharing' 'none')
      OPT_PARAM('_gby_hash_aggregation_enabled' 'false')
      OPT_PARAM('_optimizer_extended_cursor_sharing_rel' 'none')
      OPT_PARAM('_optimizer_adaptive_cursor_sharing' 'false')
      OPT_PARAM('_optimizer_use_feedback' 'false')
      OPT_PARAM('_optimizer_unnest_scalar_sq' 'false')
      OPT_PARAM('_px_adaptive_dist_method' 'off')
      OPT_PARAM('_optimizer_dsdir_usage_control' 0)
      OPT_PARAM('_optimizer_adaptive_plans' 'false')
      OPT_PARAM('_optimizer_strans_adaptive_pruning' 'false')
      OPT_PARAM('_optimizer_null_accepting_semijoin' 'false')
      OPT_PARAM('_optimizer_gather_feedback' 'false')
      OPT_PARAM('_optimizer_aggr_groupby_elim' 'false')
      OPT_PARAM('_optimizer_reduce_groupby_key' 'false')
      OPT_PARAM('_optimizer_nlj_hj_adaptive_join' 'false')
      OPT_PARAM('_fix_control' '8611462:0 14826303:0')
      ALL_ROWS
      OUTLINE_LEAF(@"SEL$1")
      FULL(@"SEL$1" "EMP"@"SEL$1")
      END_OUTLINE_DATA
  */

Peeked Binds (identified by position):
--------------------------------------

   1 - :SYS_B_0 (NUMBER): 30

Predicate Information (identified by operation id):
---------------------------------------------------

   2 - filter("DEPTNO"=:SYS_B_0)

Column Projection Information (identified by operation id):
-----------------------------------------------------------

   1 - (#keys=1) "SAL"[NUMBER,22], "ENAME"[VARCHAR2,10],
       "DEPTNO"[NUMBER,22], MIN("SAL") OVER ( ORDER BY "SAL" RANGE  BETWEEN
       UNBOUNDED  PRECEDING  AND  CURRENT ROW )[22]
   2 - "ENAME"[VARCHAR2,10], "SAL"[NUMBER,22], "DEPTNO"[NUMBER,22]


72 rows selected.

从上面执行计划能够看到， min(sal) over(order by sal)实际改写成了

MIN("SAL") OVER ( ORDER BY "SAL" RANGE  BETWEEN
       UNBOUNDED  PRECEDING  AND  CURRENT ROW )[22]

2、工资排序后取第一行到当前行范围内的最大值。

SQL> select ename,
  2         sal,
  3         /*因按工资排序，所以这个语句与上面sal返回的值一样*/
  4         max(sal) over(order by sal) as max1,
  5         /*上述语句默认参数如下，plan中可以看到*/
  6         MAX(sal) over(order by sal range between unbounded preceding and current row) MAX2,
  7         /*这种情况卡，rows与RANGE返回数据一样*/
  8         MAX(sal) over(order by sal rows between unbounded preceding and current row) MAX3,
  9         /*取所有行的内最大值，可以与前面返回的值对比查看*/
 10         MAX(sal) over() as MAX4,
 11         /*如果明确写出上面MAX4的范围就是*/
 12         MAX(sal) over(order by sal range between unbounded preceding and unbounded following) as MAX5,
 13         /*这种情况下，rows与RANGE返回数据一样*/
 14         MAX(sal) over(order by sal rows between unbounded preceding and unbounded following) as MAX6
 15    from emp
 16   where deptno = 30;

ENAME            SAL       MAX1       MAX2       MAX3       MAX4       MAX5       MAX6
---------- --------- ---------- ---------- ---------- ---------- ---------- ----------
JAMES         950.00        950        950        950       2850       2850       2850
WARD         1250.00       1250       1250       1250       2850       2850       2850
MARTIN       1250.00       1250       1250       1250       2850       2850       2850
TURNER       1500.00       1500       1500       1500       2850       2850       2850
ALLEN        1600.00       1600       1600       1600       2850       2850       2850
BLAKE        2850.00       2850       2850       2850       2850       2850       2850

6 rows selected

为了看到上面 max(sal) over(order by sal) as max1在执行计划中到底是转译成了什么语句，这里专门改写成一个独立sql后，然后拿到的实际执行计划：

select * from table(dbms_xplan.display_cursor('&A',0,'advanced'));
SQL> SQL> Enter value for a: 5snuncy0dcrhf
old   1: select * from table(dbms_xplan.display_cursor('&A',0,'advanced'))
new   1: select * from table(dbms_xplan.display_cursor('5snuncy0dcrhf',0,'advanced'))

PLAN_TABLE_OUTPUT
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
SQL_ID    5snuncy0dcrhf, child number 0
-------------------------------------
select /*12345*/ ename,        sal,
/*因按工资排序，所以这个语句与上面sal返回的值一样*/       max(sal) over(order by sal) as
max1   from emp  where deptno = :"SYS_B_0"


Plan hash value: 3145491563

---------------------------------------------------------------------------
| Id  | Operation       | Name | Rows  | Bytes | Cost (%CPU)| Time      |
---------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |      |      |      |    4 (100)|      |
|   1 |  WINDOW SORT       |      |    6 |    78 |    4  (25)| 00:00:01 |
|*  2 |   TABLE ACCESS FULL| EMP  |    6 |    78 |    3   (0)| 00:00:01 |
---------------------------------------------------------------------------

Query Block Name / Object Alias (identified by operation id):
-------------------------------------------------------------

   1 - SEL$1
   2 - SEL$1 / EMP@SEL$1

Outline Data
-------------

  /*+
      BEGIN_OUTLINE_DATA
      IGNORE_OPTIM_EMBEDDED_HINTS
      OPTIMIZER_FEATURES_ENABLE('12.1.0.2')
      DB_VERSION('12.1.0.2')
      OPT_PARAM('_b_tree_bitmap_plans' 'false')
      OPT_PARAM('_bloom_filter_enabled' 'false')
      OPT_PARAM('_optimizer_extended_cursor_sharing' 'none')
      OPT_PARAM('_gby_hash_aggregation_enabled' 'false')
      OPT_PARAM('_optimizer_extended_cursor_sharing_rel' 'none')
      OPT_PARAM('_optimizer_adaptive_cursor_sharing' 'false')
      OPT_PARAM('_optimizer_use_feedback' 'false')
      OPT_PARAM('_optimizer_unnest_scalar_sq' 'false')
      OPT_PARAM('_px_adaptive_dist_method' 'off')
      OPT_PARAM('_optimizer_dsdir_usage_control' 0)
      OPT_PARAM('_optimizer_adaptive_plans' 'false')
      OPT_PARAM('_optimizer_strans_adaptive_pruning' 'false')
      OPT_PARAM('_optimizer_null_accepting_semijoin' 'false')
      OPT_PARAM('_optimizer_gather_feedback' 'false')
      OPT_PARAM('_optimizer_aggr_groupby_elim' 'false')
      OPT_PARAM('_optimizer_reduce_groupby_key' 'false')
      OPT_PARAM('_optimizer_nlj_hj_adaptive_join' 'false')
      OPT_PARAM('_fix_control' '8611462:0 14826303:0')
      ALL_ROWS
      OUTLINE_LEAF(@"SEL$1")
      FULL(@"SEL$1" "EMP"@"SEL$1")
      END_OUTLINE_DATA
  */

Peeked Binds (identified by position):
--------------------------------------

   1 - :SYS_B_0 (NUMBER): 30

Predicate Information (identified by operation id):
---------------------------------------------------

   2 - filter("DEPTNO"=:SYS_B_0)

Column Projection Information (identified by operation id):
-----------------------------------------------------------

   1 - (#keys=1) "SAL"[NUMBER,22], "ENAME"[VARCHAR2,10],
       "DEPTNO"[NUMBER,22], MAX("SAL") OVER ( ORDER BY "SAL" RANGE  BETWEEN
       UNBOUNDED  PRECEDING  AND  CURRENT ROW )[22]
   2 - "ENAME"[VARCHAR2,10], "SAL"[NUMBER,22], "DEPTNO"[NUMBER,22]


72 rows selected.

从上面执行计划能够看到，max(sal) over(order by sal)实际改写成了

MAX("SAL") OVER ( ORDER BY "SAL" RANGE  BETWEEN
       UNBOUNDED  PRECEDING  AND  CURRENT ROW )[22]

3、工资排序后取第一行到当前行范围内的工资和，这里要注意区别。

SQL> select ename,
  2         sal,
  3         /*累加工资，要注意工资重复时的现象*/
  4         sum(sal) over(order by sal) as sum1,
  5         /*上述语句默认参数如下，在PLAN中可以看到*/
  6         sum(sal) over(order by sal range between unbounded preceding and current row) as sum2,
  7         /*这种情况卡，rows与RANGE返回数据不一样，见第二行*/
  8         sum(sal) over(order by sal rows between unbounded preceding and current row) as sum3,
  9         /*工资合计*/
 10         sum(sal) over() as sum4,
 11         /*如果明确写出上面sum4的范围就是*/
 12         sum(sal) over(order by sal range between unbounded preceding and unbounded following) as sum5,
 13         /*这种情况下，rows与RANGE返回数据一样*/
 14         sum(sal) over(order by sal rows between unbounded preceding and unbounded following) as sum6
 15    from emp
 16   where deptno = 30;

ENAME            SAL       SUM1       SUM2       SUM3       SUM4       SUM5       SUM6
---------- --------- ---------- ---------- ---------- ---------- ---------- ----------
JAMES         950.00        950        950        950       9400       9400       9400
WARD         1250.00       3450       3450       2200       9400       9400       9400
MARTIN       1250.00       3450       3450       3450       9400       9400       9400
TURNER       1500.00       4950       4950       4950       9400       9400       9400
ALLEN        1600.00       6550       6550       6550       9400       9400       9400
BLAKE        2850.00       9400       9400       9400       9400       9400       9400

6 rows selected

因为使用关键字"RANGE"时，第二行"SUM1"、"SUM2"对应的条件是"<=1250",
而1250有两个，所以会计算两次，产生结果为：950+1250+1250=3450。而"SUM3"不同，它只计算到当前行，所以结果是950+1250=2200。

4、前后都有限定条件。

SQL> select ename,
  2         sal,
  3         /*当前行(+-1500)范围内的最大值*/
  4         max(sal) over(order by sal range between 500 preceding and 500 following) as max1,
  5         /*前后各一行，共三行中的最大值*/
  6         sum(sal) over(order by sal rows between 1 preceding and 1 following) as sum3
  7    from emp
  8   where deptno = 30;

ENAME            SAL       MAX1       SUM3
---------- --------- ---------- ----------
JAMES         950.00       1250       2200
WARD         1250.00       1600       3450
MARTIN       1250.00       1600       4000
TURNER       1500.00       1600       4350
ALLEN        1600.00       1600       5950
BLAKE        2850.00       2850       4450

6 rows selected

三、使用Listagg一个SQL打印九九乘法表

现在有个需求：要求你用一条SQL打印一个九九乘法口诀！！
是不是有点懵逼啊，在其他语言中，这也是一个经常见的面试笔试题，那么用SQL怎么实现呢？
下面可以用listagg的分类汇总功能来实现！
首先要生成基础数据：

SQL> 
SQL> with t as (
  2  select level as lv from dual connect by level<=9
  3  )
  4  select * from t;

        LV
----------
         1
         2
         3
         4
         5
         6
         7
         8
         9

9 rows selected

然后根据这个数据做一下枚举：

SQL> with t as (
  2  select level as lv from dual connect by level<=9
  3  ),
  4  t1 as (
  5  select a.lv la,b.lv lb,b.lv||'*'||a.lv||'='||rpad(a.lv*b.lv,2,' ') as txt
  6  from t a,t b
  7  where b.lv<=a.lv)
  8  select * from t1;

        LA         LB TXT
---------- ---------- --------------------------------------------------------------------------------
         1          1 1*1=1
         2          1 1*2=2
         2          2 2*2=4
         3          1 1*3=3
         3          2 2*3=6
         3          3 3*3=9
         4          1 1*4=4
         4          2 2*4=8
         4          3 3*4=12
         4          4 4*4=16
         5          1 1*5=5
         5          2 2*5=10
         5          3 3*5=15
         5          4 4*5=20
         5          5 5*5=25
         6          1 1*6=6
         6          2 2*6=12
         6          3 3*6=18
         6          4 4*6=24
         6          5 5*6=30
         6          6 6*6=36
         7          1 1*7=7
         7          2 2*7=14
         7          3 3*7=21
         7          4 4*7=28
         7          5 5*7=35
         7          6 6*7=42
         7          7 7*7=49
         8          1 1*8=8
         8          2 2*8=16
         8          3 3*8=24
         8          4 4*8=32
         8          5 5*8=40
         8          6 6*8=48
         8          7 7*8=56
         8          8 8*8=64
         9          1 1*9=9
         9          2 2*9=18
         9          3 3*9=27
         9          4 4*9=36
         9          5 5*9=45
         9          6 6*9=54
         9          7 7*9=63
         9          8 8*9=72
         9          9 9*9=81

45 rows selected


SQL>

最后用listagg分类汇总,把LA相同的数据合并为一行：

SQL> with t as (
  2  select level as lv from dual connect by level<=9
  3  ),
  4  t1 as (
  5  select a.lv la,b.lv lb,b.lv||'*'||a.lv||'='||rpad(a.lv*b.lv,2,' ') as txt
  6  from t a,t b
  7  where b.lv<=a.lv)
  8  select listagg(txt,' ')within group(order by t1.la) as 九九乘法口诀
  9  from t1
 10  group by la;

九九乘法口诀
--------------------------------------------------------------------------------
1*1=1
1*2=2  2*2=4
1*3=3  2*3=6  3*3=9
1*4=4  2*4=8  3*4=12 4*4=16
1*5=5  2*5=10 3*5=15 4*5=20 5*5=25
1*6=6  2*6=12 3*6=18 4*6=24 5*6=30 6*6=36
1*7=7  2*7=14 3*7=21 4*7=28 5*7=35 6*7=42 7*7=49
1*8=8  2*8=16 3*8=24 4*8=32 5*8=40 6*8=48 7*8=56 8*8=64
1*9=9  2*9=18 3*9=27 4*9=36 5*9=45 6*9=54 7*9=63 8*9=72 9*9=81

9 rows selected

这就达到了我们的目的，可以看到，其实实现起来并不复杂，就是需要思考一下逻辑。

总结

本篇文章讲解的主要内容是：通过执行计划看开窗函数开窗语法rows\range between preceding and current row以及rows\range between unbounded preceding and unbounded following对移动范围的值进行聚集的原理以及区别】、如何通过一个SQL打印九九乘法口表！！！

【SQL开发实战技巧】系列（二十七）：数仓报表场景☞通过对移动范围进行聚集来详解分析函数开窗原理以及如何一个SQL打印九九乘法表

前言

一、对移动范围的值进行聚集

二、详细分析常用分析函数开窗过程

三、使用Listagg一个SQL打印九九乘法表

总结

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插件

【SQL开发实战技巧】系列（二十七）：数仓报表场景☞通过对移动范围进行聚集来详解分析函数开窗原理以及如何一个SQL打印九九乘法表

前言

一、对移动范围的值进行聚集

二、详细分析常用分析函数开窗过程

三、使用Listagg一个SQL打印九九乘法表

总结

热门文章

最新文章

相关课程

相关电子书

相关实验场景