数据透视后的 Sum Column case ()

Sum Colum case () after pivot

对不起,如果我解释得不是很好,而且标题不是很清楚。 我使用 SQL Server 2005。 我有一个使用 Pivot 的查询运行良好,但我知道我必须添加一个新查询以从每季度获取结果。

这是我从月份

获取结果的查询
    WITH PivotData AS
(
SELECT  idWatimetro, mes,ano, valor
FROM   E_Registros_Watimetros where ano = 2012
)
SELECT *
FROM PivotData 
PIVOT(SUM(valor) FOR idWatimetro IN ([1],[2],[3],[4],[5] AS P order by mes;

所以,只知道我要弄四个寄存器

1 With Month 1+2+3
2 Wint Month 4+5+6
3 With Month 7+8+9
4 Wint Month 10+11+12

我一直在尝试使用 UNION ALL 但没有像我预期的那样工作,任何帮助将不胜感激,对于我糟糕的英语和解释感到抱歉。

这是我的查询,没有结果

SELECT  * 
FROM    (
            SELECT  idWatimetro, ano,mes, valor
            FROM E_Registros_Watimetros   
            WHERE (ano = 2012 and mes = 1 ) or (ano = 2012 and mes = 2)or (ano = 2012 and mes = 3)
            UNION ALL
            SELECT  idWatimetro, ano,mes, valor
            FROM E_Registros_Watimetros    
            WHERE (ano = 2012 and mes = 4 ) or (ano = 2012 and mes = 5)or (ano = 2012 and mes = 6)
        ) AS SourceTable
PIVOT(SUM(valor) FOR idWatimetro IN ([1],[2],[3],[4],[5]))AS P

感谢先进。

尝试类似...

   ; WITH PivotData AS
(
SELECT  idWatimetro
      ,CASE WHEN mes IN (1,2,3)    THEN 1
            WHEN mes IN (4,5,6)    THEN 2
            WHEN mes IN (7,8,9)    THEN 3
            WHEN mes IN (10,11,12) THEN 4
       END AS mes
      ,ano
      ,valor
FROM   E_Registros_Watimetros where ano = 2012
)
SELECT *
FROM PivotData 
PIVOT(SUM(valor) 
      FOR Mes 
      IN ([1],[2],[3],[4]))p

您可以 GROUP BY 季号,即 mes - (mes - 1) % 3,在 PIVOT 的结果集上:

WITH PivotData AS
(
   SELECT  idWatimetro, mes,ano, valor
   FROM   E_Registros_Watimetros where ano = 2012
),
PivotResult AS 
(
   SELECT *
   FROM PivotData 
   PIVOT(SUM(valor) FOR idWatimetro IN ([1],[2],[3],[4],[5])) AS P 
),
SELECT CASE mes - (mes - 1) % 3 
         WHEN 1 THEN '1st' 
         WHEN 4 THEN '2nd' 
         WHEN 7 THEN '3rd' 
         ELSE '4th' 
       END AS quarter,
       2012 AS ano, sum([1]) AS [1], sum([2]) AS [2], 
       sum([3]) AS [3], sum([4]) AS [4], sum([5]) AS [5]
FROM PivotResult
GROUP BY mes - (mes - 1) % 3