Question

我在行中有月度数据，但我需要通过“月度列”而不是一个合并的“月度”列来转换数据，您能否在这里提供帮助，以查看是否可以从“目标”表创建视图以按“月度”列进行分组？

来源

Account        DAY  CENTER  ENTITY   YEAR  FREQUENCY       AMOUNT  MONTH
A010100001000  D02  CC124   BBC0181  FY15  PATD       -3185791.08  Jan
A010100001000  D02  CC13L   BBC0181  FY15  PATD        -156955.28  Feb
A010100001000  D02  CC11B   BBC0181  FY15  PATD        -666443.03  Mar
A010100001000  D02  CCR81   BBC0181  FY15  PATD        -178392.23  Apr
A010100001000  D02  CCR82   BBC0181  FY15  PATD        -192553.44  May
A010100001000  D02  CC10M   BBC0181  FY15  PATD        -457125.95  Jun
A010100001000  D02  CC13P   BBC0181  FY15  PATD         -41853.95  Jul
A010100001000  D02  CCR53   BBC0181  FY15  PATD        -110299.8   Aug
A010100001000  D02  CCR54   BBC0181  FY15  PATD        -182933.93  Sep
A010100001000  D02  CC11C   BBC0181  FY15  PATD        -468148.55  Oct
A010100001000  D02  CCR71   BBC0181  FY15  PATD        -133119.11  Nov
A010100001000  D02  CCW4A   BBC0181  FY15  PATD        -201339.86  Dec

所需的输出

Account        DAY  CENTER  ENTITY   YEAR  FREQUENCY          Jan          Feb          Mar          Apr          May          Jun          Jul          Aug          Sep          Oct          Nov          Dec
A010100001000  D02  CC10M   BBC0181  FY15  PATD                                                                         -457125.95                        
A010100001000  D02  CC11B   BBC0181  FY15  PATD                                  -666443.03                                    
A010100001000  D02  CC11C   BBC0181  FY15  PATD                                                                                                                             -468148.55        
A010100001000  D02  CC124   BBC0181  FY15  PATD        -3185791.08                                            
A010100001000  D02  CC13L   BBC0181  FY15  PATD                     -156955.28                                        
A010100001000  D02  CC13P   BBC0181  FY15  PATD                                                                                       -41853.95                    
A010100001000  D02  CCR53   BBC0181  FY15  PATD                                                                                                    -110299.8                
A010100001000  D02  CCR54   BBC0181  FY15  PATD                                                                                                                -182933.93            
A010100001000  D02  CCR71   BBC0181  FY15  PATD                                               -133119.11    
A010100001000  D02  CCR81   BBC0181  FY15  PATD                                                            -178392.23                                
A010100001000  D02  CCR82   BBC0181  FY15  PATD                    -192553.44                            
A010100001000  D02  CCW4A   BBC0181  FY15  PATD                                                                                                                                                       -201339.86

Answer 1

我本来建议您使用PIVOT，但我发现您希望它们是单独的行，而不是全部都排成一行。您可以执行以下操作：

SELECT ACCOUNT, DAY, CENTER, ENTITY, YEAR, FREQUENCY, 
CASE WHEN MONTH = 'Jan'
THEN AMOUNT
END "Jan"
CASE WHEN MONTH = 'Feb'
THEN AMOUNT
END "Feb"
.... FROM TABLENAME

Answer 2

您想要的基本模式是每个月都有一个case表达式，并且仅在月份匹配时才显示金额：

select account, day, center, entity, year, frequency,
  case when month = 'Jan' then amount end as jan,
  case when month = 'Feb' then amount end as feb,
  case when month = 'Mar' then amount end as mar,
-- ... all the other months
  case when month = 'Dec' then amount end as dec
from source;

ACCOUNT       DAY CENTE ENTITY  YEAR FREQ        JAN        FEB        MAR ...        DEC
------------- --- ----- ------- ---- ---- ---------- ---------- ---------- ... ----------
A010100001000 D02 CC124 BBC0181 FY15 PATD -3185791.1
A010100001000 D02 CC13L BBC0181 FY15 PATD            -156955.28
A010100001000 D02 CC11B BBC0181 FY15 PATD                       -666443.03
...
A010100001000 D02 CCW4A BBC0181 FY15 PATD                                  ... -201339.86

如果您的输出中连续有多个条目，则它更接近于常规枢轴，但是您仍然可以通过添加聚合和匹配的分组来做同样的事情：

select account, day, center, entity, year, frequency,
  max(case when month = 'Jan' then amount end) as jan,
  max(case when month = 'Feb' then amount end) as feb,
  max(case when month = 'Mar' then amount end) as mar,
-- ...
  max(case when month = 'Dec' then amount end) as dec
from source
group by account, day, center, entity, year, frequency;

Answer 3

我认为这应该有效。

WITH tmp AS
(
  SELECT 'A010100001000' Account,  'D02' as day,  'CC124' center,   'BBC0181' entity,   'FY15' year,  'PATD' FREQUENCY ,      -3185791.08 amount, 'Jan' mnth FROM dual UNION
  SELECT 'A010100001000',  'D02', 'CC13L', 'BBC0181', 'FY15', 'PATD',        -156955.28,  'Feb'   FROM dual UNION
  SELECT 'A010100001000',  'D02', 'CC11B', 'BBC0181', 'FY15', 'PATD',        -666443.03,  'Mar'   FROM dual UNION
  SELECT 'A010100001000',  'D02', 'CCR81', 'BBC0181', 'FY15', 'PATD',        -178392.23,  'Apr'   FROM dual UNION
  SELECT 'A010100001000',  'D02', 'CCR82', 'BBC0181', 'FY15', 'PATD',        -192553.44,  'May'   FROM dual UNION
  SELECT 'A010100001000',  'D02', 'CC10M', 'BBC0181', 'FY15', 'PATD',        -457125.95,  'Jun'   FROM dual UNION
  SELECT 'A010100001000',  'D02', 'CC13P', 'BBC0181', 'FY15', 'PATD',         -41853.95,  'Jul'   FROM dual UNION
  SELECT 'A010100001000',  'D02', 'CCR53', 'BBC0181', 'FY15', 'PATD',        -110299.8 ,  'Aug'   FROM dual UNION
  SELECT 'A010100001000',  'D02', 'CCR54', 'BBC0181', 'FY15', 'PATD',        -182933.93,  'Sep'   FROM dual UNION
  SELECT 'A010100001000',  'D02', 'CC11C', 'BBC0181', 'FY15', 'PATD',        -468148.55,  'Oct'   FROM dual UNION
  SELECT 'A010100001000',  'D02', 'CCR71', 'BBC0181', 'FY15', 'PATD',        -133119.11,  'Nov'   FROM dual UNION
  SELECT 'A010100001000',  'D02', 'CCW4A', 'BBC0181', 'FY15', 'PATD',        -201339.86,  'Dec'   FROM dual 
)
SELECT 
  * 
FROM tmp
PIVOT
(
  MAX(amount) FOR mnth IN ('Jan' Jan, 'Feb' feb, 'Mar' Mar, 'Apr' Apr, 'May' May, 'Jun' Jun, 'Jul' Jul, 'Aug' Aug, 'Sep' Sep, 'Oct' Oct, 'Nov' Nov, 'Dec' Dec)
);

如何从行中的每月数据生成视图，将其转换为Oracle表中的列

3 个答案: