分组函数中带有汇总和案例语句的数据透视表

Question

我正在尝试在分组函数中创建一个带有汇总和 case 语句的数据透视表。当不需要更改数据透视的列部分中的数据时，我的查询效果很好，

他就是一个例子。

http://sqlfiddle.com/#!3/3143e/2

但是当我需要在列部分中有一个 case 语句时，它会搞砸。例如其中一列需要返回

“1 of 3” if someone voted in one of three elections, 
“2 of 3” if someone voted in two of three elections, 
“3 of 3” if someone voted in three of three elections,

这是case语句

CAST( (CASE WHEN election1 IS NOT NULL THEN 1 ELSE 0 END)
       +(CASE WHEN election2 IS NOT NULL THEN 1 ELSE 0 END)
       +(CASE WHEN election3 IS NOT NULL THEN 1 ELSE 0 END) AS CHAR(1)) + '-3' as election

我需要帮助弄清楚如何将此 case 语句放入 Grouping() 函数中，或者可能有其他方法可以做到这一点。我试过这样的事情

http://sqlfiddle.com/#!3/3143e/3

当然它没有用。 这就是最终支点的样子

1 http://img842.imageshack.us/img842/6884/84834931.jpg

提前致谢

Answer 1

所以我有一个建议给你。我以另一种方式做到了，但它确实有效。

测试数据

create table test4(city nvarchar(10), race nvarchar(30), sex nvarchar(10), age int, type nvarchar(30),election1 nvarchar(30), election2 nvarchar(30), election3 nvarchar(30),)
insert into test4 values ('Austin',  'African-American', 'male', 21, 'gv','G10','G08','G06')
insert into test4 values ('Austin',  'Asian', 'female', 22,'AV',null,'G08','G06')
insert into test4 values ('Austin',  'Caucasian', 'male', 23,'BV','G10',null,null)
insert into test4 values ('Austin',  'Hispanic', 'female', 24,'AV','G10','G08','G06')
insert into test4 values ('Austin',  'African-American', 'Unknown', 25,'CV','G10','G08',null)
insert into test4 values ('Austin',  'Asian', 'male', 26,'gv',null,'G08','G06')
insert into test4 values ('Austin',  'Caucasian', 'female', 27,'CV',null,'G08','G06')
insert into test4 values ('Austin',  'Hispanic', 'Unknown', 28,'AV',null,'G08','G06')
insert into test4 values ('Austin',  'Asian', 'male', 29,'BV','G10',null,'G06')
insert into test4 values ('Austin',  'Caucasian', 'female', 31,'gv','G10',null,'G06')
insert into test4 values ('Dallas',  'Hispanic', 'Unknown', 32,'BV','G10',null,'G06')
insert into test4 values ('Dallas',  'African-American', 'male', 33,'gv','G10',null,'G06')
insert into test4 values ('Dallas',  'Asian', 'female', 34,'BV',null,'G08','G06')
insert into test4 values ('Dallas',  'Caucasian', 'Unknown', 35,'AV',null,null,null)
insert into test4 values ('Dallas',  'Hispanic', 'male', 500,'AV',null,'G08',null)
insert into test4 values ('Dallas',  'African-American', 'female', 36,'AV','G10',null,'G06')
insert into test4 values ('Dallas',  'Asian', 'Unknown', 37,'CV','G10','G08',null)
insert into test4 values ('Dallas',  'Caucasian', 'male', 38,'CV',null,null,null)
insert into test4 values ('Dallas',  'Hispanic', 'female', 39,'gv','G10','G08','G06')
insert into test4 values ('Dallas',  'African-American', 'Unknown', 41,'CV',null,'G08','G06')
insert into test4 values ('Houston',  'Asian', 'male', 42,'BV',null,'G08',null)
insert into test4 values ('Houston',  'Caucasian', 'female', 43,'CV','G10',null,'G06')
insert into test4 values ('Houston',  'Hispanic', 'Unknown', 44,'BV','G10',null,'G06')
insert into test4 values ('Houston',  'African-American', 'male', 45,'CV',null,'G08','G06')
insert into test4 values ('Houston',  'Asian', 'female', 46,'CV','G10','G08','G06')
insert into test4 values ('Houston',  'Caucasian', 'Unknown', 47,'gv',null,null,null)
insert into test4 values ('Houston',  'Hispanic', 'male', 48,'AV','G10','G08',null)
insert into test4 values ('Houston',  'African-American', 'female', 49,'gv','G10',null,'G06')
insert into test4 values ('Houston',  'Asian', 'Unknown', 51,'BV',null,'G08',null)
insert into test4 values ('Houston',  'Caucasian', 'male', 52,'AV',null,'G08','G06');

PIVOT 和 UNION ALL

;WITH PivotTable
AS
(
    SELECT
        pvt.city,
        pvt.sex,
        pvt.election,
        ISNULL(pvt.[20_30_Af],0) AS [20_30_Af],
        ISNULL(pvt.[20_30_As],0) AS [20_30_As],
        ISNULL(pvt.[20_30_C],0) AS [20_30_C],
        ISNULL(pvt.[20_30_H],0) AS [20_30_H],
        ISNULL(pvt.[30_40_Af],0) AS [30_40_Af],
        ISNULL(pvt.[30_40_As],0) AS [30_40_As],
        ISNULL(pvt.[30_40_C],0) AS [30_40_C],
        ISNULL(pvt.[30_40_H],0) AS [30_40_H],
        ISNULL(pvt.[40_50_Af],0) AS [40_50_Af],
        ISNULL(pvt.[40_50_As],0) AS [40_50_As],
        ISNULL(pvt.[40_50_C],0) AS [40_50_C],
        ISNULL(pvt.[40_50_H],0) AS [40_50_H]
    FROM
    (
    SELECT
        (
        case 
            when race = 'African-American' and age between 21 and 30 
            then '20_30_Af' 
            when race = 'Asian' and age between 21 and 30
            then '20_30_As'
            when race = 'Caucasian' and age between 21 and 30
            then '20_30_C'
            when race = 'Hispanic' and age between 21 and 30
            then '20_30_H'
            when race = 'African-American' and age between 31 and 40
            then '30_40_Af'
            when race = 'Asian' and age between 31 and 40
            then '30_40_As'
            when race = 'Caucasian' and age between 31 and 40
            then '30_40_C'
            when race = 'Hispanic' and age between 31 and 40
            then '30_40_H'
            when race = 'African-American' and age between 41 and 50
            then '40_50_Af'
            when race = 'Asian' and age between 41 and 50
            then '40_50_As'
            when race = 'Caucasian' and age between 41 and 50
            then '40_50_C'
            when race = 'Hispanic' and age between 41 and 50
            then '40_50_H'
        end
        ) AS pivotText,
        1 as pivotNbr,
        test4.city,
        test4.sex,
        CAST( (CASE WHEN election1 IS NOT NULL THEN 1 ELSE 0 END)
           +(CASE WHEN election2 IS NOT NULL THEN 1 ELSE 0 END)
           +(CASE WHEN election3 IS NOT NULL THEN 1 ELSE 0 END) AS CHAR(1)) 
            + '-3' as election
    FROM
        test4
    ) AS p
    PIVOT
    (
        SUM(pivotNbr)
        FOR pivotText IN([20_30_Af],[20_30_As],
            [20_30_C],[20_30_H],[30_40_Af],
            [30_40_As],[30_40_C],[30_40_H],
            [40_50_Af],[40_50_As],[40_50_C],[40_50_H])
    ) AS pvt
)
SELECT
    PivotTable.city,
    PivotTable.sex,
    PivotTable.election,
    PivotTable.[20_30_Af],
    PivotTable.[20_30_As],
    PivotTable.[20_30_C],
    PivotTable.[20_30_H],
    PivotTable.[30_40_Af],
    PivotTable.[30_40_As],
    PivotTable.[30_40_C],
    PivotTable.[30_40_H],
    PivotTable.[40_50_Af],
    PivotTable.[40_50_As],
    PivotTable.[40_50_C],
    PivotTable.[40_50_H],
    (
        PivotTable.[20_30_Af]+
        PivotTable.[20_30_As]+
        PivotTable.[20_30_C]+
        PivotTable.[20_30_H]+
        PivotTable.[30_40_Af]+
        PivotTable.[30_40_As]+
        PivotTable.[30_40_C]+
        PivotTable.[30_40_H]+
        PivotTable.[40_50_Af]+
        PivotTable.[40_50_As]+
        PivotTable.[40_50_C]+
        PivotTable.[40_50_H]
    ) AS Total,
    null as isGrandTotal,
    2 AS sortOrder
FROM
    PivotTable
UNION ALL
SELECT
    PivotTable.city,
    '' AS sex,
    '' AS election,
    SUM(PivotTable.[20_30_Af]) AS [20_30_Af],
    SUM(PivotTable.[20_30_As]) AS [20_30_As],
    SUM(PivotTable.[20_30_C]) AS [20_30_C],
    SUM(PivotTable.[20_30_H]) AS [20_30_H],
    SUM(PivotTable.[30_40_Af]) AS [30_40_Af],
    SUM(PivotTable.[30_40_As]) AS [30_40_As],
    SUM(PivotTable.[30_40_C]) AS [30_40_C],
    SUM(PivotTable.[30_40_H]) AS [30_40_H],
    SUM(PivotTable.[40_50_Af]) AS [40_50_Af],
    SUM(PivotTable.[40_50_As]) AS [40_50_As],
    SUM(PivotTable.[40_50_C]) AS [40_50_C],
    SUM(PivotTable.[40_50_H]) AS [40_50_H],
    SUM(
        PivotTable.[20_30_Af]+
        PivotTable.[20_30_As]+
        PivotTable.[20_30_C]+
        PivotTable.[20_30_H]+
        PivotTable.[30_40_Af]+
        PivotTable.[30_40_As]+
        PivotTable.[30_40_C]+
        PivotTable.[30_40_H]+
        PivotTable.[40_50_Af]+
        PivotTable.[40_50_As]+
        PivotTable.[40_50_C]+
        PivotTable.[40_50_H]
    ) AS Total,
    null as isGrandTotal,
    1 AS sortOrder
FROM
    PivotTable
GROUP BY 
    PivotTable.city
UNION ALL
SELECT
    'Grand Total' AS city,
    '' AS sex,
    '' AS election,
    SUM(PivotTable.[20_30_Af]) AS [20_30_Af],
    SUM(PivotTable.[20_30_As]) AS [20_30_As],
    SUM(PivotTable.[20_30_C]) AS [20_30_C],
    SUM(PivotTable.[20_30_H]) AS [20_30_H],
    SUM(PivotTable.[30_40_Af]) AS [30_40_Af],
    SUM(PivotTable.[30_40_As]) AS [30_40_As],
    SUM(PivotTable.[30_40_C]) AS [30_40_C],
    SUM(PivotTable.[30_40_H]) AS [30_40_H],
    SUM(PivotTable.[40_50_Af]) AS [40_50_Af],
    SUM(PivotTable.[40_50_As]) AS [40_50_As],
    SUM(PivotTable.[40_50_C]) AS [40_50_C],
    SUM(PivotTable.[40_50_H]) AS [40_50_H],
    SUM(
        PivotTable.[20_30_Af]+
        PivotTable.[20_30_As]+
        PivotTable.[20_30_C]+
        PivotTable.[20_30_H]+
        PivotTable.[30_40_Af]+
        PivotTable.[30_40_As]+
        PivotTable.[30_40_C]+
        PivotTable.[30_40_H]+
        PivotTable.[40_50_Af]+
        PivotTable.[40_50_As]+
        PivotTable.[40_50_C]+
        PivotTable.[40_50_H]
    ) AS Total,
    1 as isGrandTotal,
    3 AS sortOrder
FROM
    PivotTable
ORDER BY 
    isGrandTotal,
    city,
    sortOrder