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グループ化関数でロールアップとcaseステートメントを使用してピボットテーブルを作成しようとしています。ピボットの列セクションのデータを変更する必要がない場合、クエリはうまく機能します。

彼はその一例です。

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

しかし、列セクションにcaseステートメントが必要な場合、それは混乱します。たとえば、列の1つを返す必要があります

“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,

これはcaseステートメントです

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

このcaseステートメントをGrouping（）関数に配置する方法を理解するのに助けが必要です。そうでない場合は、これを行う別の方法があります。私はこのようなことを試みました

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

もちろん、それは機能しませんでした。これが最終的なピボットの外観です

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

前もって感謝します

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1 に答える 1

0

だから私はあなたに提案があります。私は別の方法でそれをしましたが、それは機能します。

テストデータ

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');

APIVOTと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
于 2012-04-11T08:48:52.793 に答える