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5.扩展 GROUP BY

时间:2014-07-16 14:54:37      阅读:325      评论:0      收藏:0      [点我收藏+]

标签:数据   io   re   c   应用   ar   

/*************************************************
主题:扩展 GROUP BY

  CUBE ,ROLLUP,GROUPING SETS,GROUPING_ID,GROUP_ID
*************************************************/

1.ROLLUP ,按列的顺序从右到左递减分组小计(含合计)
        -------------------------------------    
         从右到左递减分组     
         统计级别 : SGNYEAR,AREACODE  --1
                     SGNYEAR           --2
                     NULL(合计)        --3
        -------------------------------------
SELECT SGNYEAR,AREACODE,SUM(CARGOVOLUME) S
  FROM TEST3
 WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2004‘
 GROUP BY ROLLUP(SGNYEAR,AREACODE) ;
 
     SGNYEAR   AREACODE                       S
    --------- --------------------- ----------
    2002      150000                     37239
    2002      230000                     12919
    2002      330000                      2327
    2002      360000                         0  --年的某个AREACODE 小计
    2002                                 52485  --年小计
    2003      130000                      1486
    2003      440000                     73087
    2003      640000                         0
    2003                                 74573
    2004      410000                         0
    2004                                     0
                                        127058  --总计
    --------- --------------------- ----------  

2.ROLLUP部分分组, 分组剔除某些字段来的小计(不含合计)
    
SELECT SGNYEAR,AREACODE,SUM(CARGOVOLUME) S
  FROM TEST3
 WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2004‘
 GROUP BY SGNYEAR ,ROLLUP(AREACODE);--根据年分组,剔除AREARCODE的分组小计 与 整体的合计

    SGNYEAR   AREACODE                       S
    --------- --------------------- ----------
    2002      150000                     37239
    2002      230000                     12919
    2002      330000                      2327
    2002      360000                         0
    2002                                 52485
    2003      130000                      1486
    2003      440000                     73087
    2003      640000                         0
    2003                                 74573
    2004      410000                         0
    2004                                     0
    --------- --------------------- ----------
       
3.CUBE,对不同维度的所有可能分组进行统计(各种可能性分组)
                                
 SELECT SGNYEAR,AREACODE,SUM(CARGOVOLUME) S
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2004‘
  GROUP BY CUBE(SGNYEAR,AREACODE) ;  
 
    SGNYEAR   AREACODE                       S
    --------- --------------------- ----------
                                        127058  --总计
              130000                      1486  --AREACODE的小计
              150000                     37239
              230000                     12919
              330000                      2327
              360000                         0
              410000                         0
              440000                     73087
              640000                         0
    2002                                 52485  --SGNYEAR的小计
    2002      150000                     37239  --SGNYEAR,AREACODE的小计
    2002      230000                     12919
    2002      330000                      2327
    2002      360000                         0
    2003                                 74573
    2003      130000                      1486
    2003      440000                     73087
    2003      640000                         0
    2004                                     0
    2004      410000                         0 
    --------- --------------------- ----------

4.CUBE 部分分组
 SELECT SGNYEAR,AREACODE,SUM(CARGOVOLUME) S
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2004‘
  GROUP BY SGNYEAR,CUBE(AREACODE) ; --剔除对AREACODE的分组小计 与 整体的合计

    SGNYEAR   AREACODE                       S
    --------- --------------------- ----------
    2002                                 52485
    2002      150000                     37239
    2002      230000                     12919
    2002      330000                      2327
    2002      360000                         0
    2003                                 74573
    2003      130000                      1486
    2003      440000                     73087
    2003      640000                         0
    2004                                     0
    2004      410000                         0
    --------- --------------------- ----------

5.GROUPING SETS 实现小计,没有合计
 SELECT SGNYEAR,AREACODE,SUM(CARGOVOLUME) S
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2004‘
  GROUP BY GROUPING SETS(SGNYEAR,AREACODE) ;   --对SGNYEAR,AREACODE分别进行小计统计 
    SGNYEAR   AREACODE                       S
    --------- --------------------- ----------
    2004                                     0
    2002                                 52485
    2003                                 74573
              410000                         0
              330000                      2327
              640000                         0
              360000                         0
              150000                     37239
              230000                     12919
              440000                     73087
              130000                      1486         
    --------- --------------------- ----------   

6.GROUPING SETS 部分统计.对单列进行分组,统计其他维度的小计。
 SELECT SGNYEAR,AREACODE,transtypecode,SUM(CARGOVOLUME) S
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2005‘
  GROUP BY SGNYEAR,GROUPING SETS(AREACODE,transtypecode) ;     --统计每年,每个AREACODE 的小计
                                                               --统计每年,每个TRANSTYPECODE 的小计
    SGNYEAR   AREACODE              TRANSTYPECODE                  S
    --------- --------------------- --------------------- ----------
    2002      360000                                               0
    2003      130000                                            1486
    2003      640000                                               0
    2002      330000                                            2327
    2002      230000                                           12919
    2004      410000                                               0
    2003      440000                                           73087
    2005      140000                                           47697
    2005      620000                                            4085
    2002      150000                                           37239
    2002                            3                          15246
    2002                            5                              0
    2002                            6                          37239
    2004                            5                              0
    2005                            3                          47697
    2005                            2                           4085
    2003                            7                              0
    2003                            4                           1486
    2003                            6                          73087                                                                        
    --------- --------------------- --------------------- ----------
   
7.CUBE、ROLLUP 作为 GROUPING SETS 的参数,相当于对每个 CUBE 或 ROLLUP 的操作 UNION ALL
 SELECT AREACODE,transtypecode,SUM(CARGOVOLUME) S
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2005‘
  GROUP BY GROUPING SETS(CUBE(AREACODE),ROLLUP(transtypecode));
 
    AREACODE              TRANSTYPECODE                  S
    --------------------- --------------------- ----------
    130000                                            1486
    140000                                           47697
    150000                                           37239
    230000                                           12919
    330000                                            2327
    360000                                               0
    410000                                               0
    440000                                           73087
    620000                                            4085
    640000                                               0
                          6                         110326
                          2                           4085
                          4                           1486
                          3                          62943
                          5                              0
                          7                              0
                                                    178840  --此处两个数据就是ROLLUP的UNION ALL
                                                    178840       
    --------------------- --------------------- ----------     
   
8.组合列分组

  列                    得到结果的描述
 --------------------- --------------------- ----------    
 ROLLUP(a,b,c)         GROUP BY a,b,c   
                       GROUP BY a,b
                       GROUP BY a
                       GROUP BY NULL    
 --------------------- --------------------- ----------
 ROLLUP(a,(b,c))       GROUP BY a,b,c   
                       GROUP BY a            --此处将(b,c)看做一列,所以缩减了
                       GROUP BY NULL  
 --------------------- --------------------- ----------
 --根据年进行分组,得到标准的分组统计
                 --得到 年的小计 ,与标准ROLLUP对比,少了年+编码的小计
 SELECT SGNYEAR,AREACODE,transtypecode,SUM(CARGOVOLUME) S
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2006‘
  GROUP BY ROLLUP(SGNYEAR,(AREACODE,transtypecode)) ; 
                                                
    SGNYEAR   AREACODE              TRANSTYPECODE                  S
    --------- --------------------- --------------------- ----------
    2002      150000                6                          37239
    2002      230000                3                          12919  --年份、类型同
    2002      330000                3                           2327  --编码不同
    2002      360000                5                              0
    2002                                                       52485
    2003      130000                4                           1486
    2003      440000                6                          73087
    2003      640000                7                              0
    2003                                                       74573
    2004      410000                5                              0
    2004                                                           0
    2005      140000                3                          47697 
    2005      620000                2                           4085
    2005                                                       51782
    2006      120000                5                              0
    2006      140000                7                             59 
    2006      350000                5                            910
    2006      500000                3                           2000
    2006      530000                5                            171
    2006                                                        3140
    --------- --------------------- --------------------- ----------   
                                     
9.连接分组,允许 GROUP BY 后面有多个 ROLLUP、CUBE、GROUPING SETS,结果是分级别组成的笛卡尔积

 SELECT SGNYEAR,AREACODE,transtypecode,SUM(CARGOVOLUME) S
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2003‘
  GROUP BY ROLLUP(AREACODE,transtypecode) ,ROLLUP(SGNYEAR); 

    SGNYEAR   AREACODE              TRANSTYPECODE                  S
    --------- --------------------- --------------------- ----------
              130000                4                           1486
              130000                                            1486
              150000                6                          37239
              150000                                           37239
              230000                3                          12919
              230000                                           12919
              330000                3                           2327
              330000                                            2327
              360000                5                              0
              360000                                               0
              440000                6                          73087
              440000                                           73087
              640000                7                              0
              640000                                               0
                                                              127058
    2002      150000                6                          37239
    2002      150000                                           37239
    2002      230000                3                          12919
    2002      230000                                           12919
    2002      330000                3                           2327
    2002      330000                                            2327
    2002      360000                5                              0
    2002      360000                                               0
    2002                                                       52485
    2003      130000                4                           1486
    2003      130000                                            1486
    2003      440000                6                          73087
    2003      440000                                           73087
    2003      640000                7                              0
    2003      640000                                               0
    2003                                                       74573
    --------- --------------------- --------------------- ----------
   
   
10.重复列分组
 SELECT SGNYEAR,AREACODE,transtypecode,SUM(CARGOVOLUME) S
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2003‘
  GROUP BY AREACODE,ROLLUP(AREACODE,transtypecode) ,ROLLUP(SGNYEAR);
  --得到的数据 AREACODE 的小计重复出现
 
  CUBE(A,B,C)==ROLLUP(A),ROLLUP(B),ROLLUP(C)
         
11.GROUPING,对于小计或合计的列返回1,否则返回0. 

 SELECT SGNYEAR,AREACODE,SUM(CARGOVOLUME) S,GROUPING(AREACODE),
        DECODE(GROUPING(AREACODE),1,‘小计‘,NVL(AREACODE,‘合计‘)) ITEM
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2006‘
  GROUP BY ROLLUP(SGNYEAR,AREACODE) ;

    SGNYEAR   AREACODE                       S GROUPING(AREACODE) ITEM
    --------- --------------------- ---------- ------------------ ---------------
    2002      150000                     37239                  0 150000
    2002      230000                     12919                  0 230000
    2002      330000                      2327                  0 330000
    2002      360000                         0                  0 360000
    2002                                 52485                  1 小计
    2003      130000                      1486                  0 130000
    2003      440000                     73087                  0 440000
    2003      640000                         0                  0 640000
    2003                                 74573                  1 小计
    2004      410000                         0                  0 410000
    2004                                     0                  1 小计
    2005      140000                     47697                  0 140000
    2005      620000                      4085                  0 620000
    2005                                 51782                  1 小计
    2006      120000                         0                  0 120000
    2006      140000                        59                  0 140000
    2006      350000                       910                  0 350000
    2006      500000                      2000                  0 500000
    2006      530000                       171                  0 530000
    2006                                  3140                  1 小计
                                        181980                  1 小计
    --------- --------------------- ---------- ------------------ ---------------    
  --过滤某些分组结果   
 SELECT SGNYEAR,AREACODE,SUM(CARGOVOLUME) S,DECODE(GROUPING(AREACODE),1,‘小计‘,NVL(AREACODE,‘合计‘)) ITEM
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2006‘
  GROUP BY ROLLUP(SGNYEAR,AREACODE)
  HAVING GROUPING(SGNYEAR)=1 OR GROUPING(AREACODE)=0;

12.GROUPING_ID,对多列进行计算,得到分组级别

   分组        位向量(二进制)  GROUPING_ID结果(根据二进制得到的十进制数)
   --------    ---------         --------------
    A,B,C        000                0 
    A,B          001                1
    A            011                3
    NULL         111                7
   
 SELECT SGNYEAR,AREACODE,SUM(CARGOVOLUME) S,GROUPING(AREACODE) YorN,
        GROUPING_ID(SGNYEAR,AREACODE) ORDERS
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2006‘
  GROUP BY ROLLUP(SGNYEAR,AREACODE)               --括号内的内容保持一致
 HAVING GROUPING_ID(SGNYEAR,AREACODE) IN (0,3);   --括号内的内容保持一致,但是可以改变顺序来到达某些统计目的
 
    SGNYEAR   AREACODE                       S       YORN     ORDERS
    --------- --------------------- ---------- ---------- ----------
    2002      150000                     37239          0          0
    2002      230000                     12919          0          0
    2002      330000                      2327          0          0
    2002      360000                         0          0          0
    2003      130000                      1486          0          0
    2003      440000                     73087          0          0
    2003      640000                         0          0          0
    2004      410000                         0          0          0
    2005      140000                     47697          0          0
    2005      620000                      4085          0          0
    2006      120000                         0          0          0
    2006      140000                        59          0          0
    2006      350000                       910          0          0
    2006      500000                      2000          0          0
    2006      530000                       171          0          0
                                        181980          1          3
    --------- --------------------- ---------- ---------- ----------
   
 SELECT SGNYEAR,AREACODE,SUM(CARGOVOLUME) S,GROUPING(AREACODE) YorN,
        GROUPING_ID(SGNYEAR,AREACODE) ORDERS
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2006‘
  GROUP BY ROLLUP(SGNYEAR,AREACODE)             
 HAVING GROUPING_ID(AREACODE,SGNYEAR) IN (0,1);                                           

13.GROUP_ID , 区分重复分组的结果,第一次出现为 0,后面每次+1.

 SELECT SGNYEAR,AREACODE,transtypecode,SUM(CARGOVOLUME) S,GROUP_ID() GI,
         GROUPING_ID(AREACODE,transtypecode,SGNYEAR) LV
   FROM TEST3
  WHERE SGNYEAR BETWEEN ‘2002‘ AND ‘2003‘
  GROUP BY ROLLUP(AREACODE,transtypecode,SGNYEAR) ,ROLLUP(SGNYEAR)
 HAVING GROUP_ID()=0;
 
14.应用
SELECT SYMBOL,ENDDATE,ITEM,SUM(AMOUNT) ,GROUPING_ID(SYMBOL,ENDDATE,ITEM) LV,
       DECODE(GROUPING_ID(SYMBOL,ENDDATE,ITEM) ,3,‘公司总计‘,0  ,‘标准小计‘,7,‘总合计‘,1,‘公司年合计‘) LVNAME,
       GROUP_ID() GI
  FROM INPUT.TBL_CHN_I_Notes_AdminExpense
 GROUP BY ROLLUP(SYMBOL,ENDDATE,ITEM)
--HAVING GROUPING_ID(SYMBOL,ENDDATE,ITEM) IN (0,3,7)
ORDER BY SYMBOL,ENDDATE,ITEM;

--

SELECT  SYMBOL,ENDDATE,ITEM,SUM(AMOUNT)--求每个公司每年,横跨项目计费用
  FROM INPUT.TBL_CHN_I_Notes_AdminExpense
 GROUP BY SYMBOL,ENDDATE,ROLLUP(ITEM)

--

5.扩展 GROUP BY,布布扣,bubuko.com

5.扩展 GROUP BY

标签:数据   io   re   c   应用   ar   

原文地址:http://www.cnblogs.com/zihuancc/p/3848287.html

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