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Sql 分组函数中包含rollup和case语句的透视表

sql sql-server-2008

Sql 分组函数中包含rollup和case语句的透视表,sql,sql-server-2008,pivot-table,rollup,Sql,Sql Server 2008,Pivot Table,Rollup,我正在尝试使用rollup和grouping函数中的case语句创建一个数据透视表。当数据透视的列部分中的数据不需要更改时，我的查询效果很好 他就是一个例子 但当我需要在专栏部分有一个案例陈述时，它会把事情搞砸。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 vot

我正在尝试使用rollup和grouping函数中的case语句创建一个数据透视表。当数据透视的列部分中的数据不需要更改时，我的查询效果很好

他就是一个例子

但当我需要在专栏部分有一个案例陈述时，它会把事情搞砸。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,
这就是案例陈述

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这个case语句放入Grouping（）函数中，或者可能有不同的方法。我试过这样的东西

但当然，它不起作用。 这就是最终枢轴的外观

提前谢谢，我有个建议给你。我用另一种方法做了，但效果很好

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');
一个
PIVOT
和一个
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
所以我有一个建议给你。我用另一种方法做了，但效果很好

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');
一个
PIVOT
和一个
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
这肯定会奏效，但我已经用这种方式构建了其余的枢轴。昨晚我考虑了一下，意识到我可以创建另一个临时表，然后根据该表进行分组，结果成功了。我将把你的答案标记为正确，因为它也会起作用。谢谢你的帮助。没问题。。。如果你认为答案是好的，记得投赞成票。它给了我们所有人温暖的模糊感觉：p这肯定会起作用，但我已经用这种方式构建了其余的枢轴。昨晚我考虑了一下，意识到我可以创建另一个临时表，然后根据该表进行分组，结果成功了。我将把你的答案标记为正确，因为它也会起作用。谢谢你的帮助。没问题。。。如果你认为答案是好的，记得投赞成票。它给我们所有人温暖模糊的感觉：P