Question

我有这个输出：

Contact_Type    Category_Type        Category_Count
---------------------------------------------------
Window          Admissions              1775
Window          Financial Aid          17377
Window          Miscellaneous           2720
Window          Student Financials     14039
Phone           Admissions              5758
Phone           Financial Aid          10048
Phone           Miscellaneous           4497
Phone           Registration              11
Phone           Student Financials      4857

这是我的疑问：

SELECT 
    Contact_Type, Category_Type1, Category_Type2, Category_Type3,
    Category_Type4, Category_Type5 
FROM
    (SELECT 
         CASE
            WHEN event.contact_type = 0 THEN 'Window' 
            WHEN event.contact_type = 1 THEN 'Phone' 
         END AS Contact_Type,
         cat.category_type AS Category_Type,
         COUNT(ec.category_id) AS Category_Count,
         'Category_Type' + CAST(ROW_NUMBER() OVER (PARTITION BY Contact_Type
ORDER BY Contact_Type) AS varchar(20)) AS ColumnSequence
     FROM 
         yLines.ylines_event AS Event
     JOIN 
         ylines.ylines_event_category AS ec ON ec.event_id = event.event_id
     JOIN 
         ylines.ylines_category AS cat ON ec.category_id = cat.category_id
     WHERE /*event.contact_type = '0' AND*/    
         CAST(FORMAT(event.event_date_time, 'yyyy') AS int) BETWEEN 2014 AND dateadd(year, 1, event.event_date_time)
     GROUP BY 
         Category_Type, Contact_Type) a 
PIVOT
    (MAX(Contact_Type)
     FOR ColumnSequence IN (Category_Type1, Category_Type2, Category_Type3,
Category_Type4, Category_Type5)) as piv;

如果我运行它会给我一个错误：

Msg 207，Level 16，State 1，Line 1
列名称“Contact_Type”无效

我似乎无法解决这个问题。我试图转置它，所以我看到两行只有'Windows'和'Phone'，五个类别类型转换为五列，每列都有计数。我正在编写T-SQL语句。请帮忙！

Answer 1

在你说的group by条款中

`group by Category_Type, Contact_Type`

但是，您已将计算列定义为contact_type，这在group by子句中不可用。你应该使用

GROUP BY Category_Type, -- Contact_Type
case 
when event.contact_type=0 then 'Window' 
when event.contact_type=1 then 'Phone' 
end

这是一种更好的方法，可以将计算出的列命名为与任何表中的列不同。

Answer 2

使用案例陈述进行透视：

SELECT CONTACT_TYPE,
SUM(CASE WHEN CATEGORY_TYPE='Admissions' THEN CATEGORY_COUNT END) ADMISSIONS,
SUM(CASE WHEN CATEGORY_TYPE='Financial Aid' THEN CATEGORY_COUNT END) FINANCIAL_AID,
SUM(CASE WHEN CATEGORY_TYPE='Miscellaneous' THEN CATEGORY_COUNT END) MISCELLANEOUS,
SUM(CASE WHEN CATEGORY_TYPE='Student Financials' THEN CATEGORY_COUNT END) STUDENT_FINANCIALS,
SUM(CASE WHEN CATEGORY_TYPE='Registration' THEN CATEGORY_COUNT END) REGISTRATION
FROM TEST_3 GROUP BY CONTACT_TYPE;

输出：

CONTACT_TYPE    ADMISSIONS  FINANCIAL_AID   MISCELLANEOUS   STUDENT_FINANCIALS  REGISTRATION
 Phone             5758         10048           4497               4857                11
 Window            1775         17377           2720              14039              null

Answer 3

我会尝试动态

       ; WITH [CONTACT]
     AS (
         SELECT *
           FROM (
                 VALUES 
                        ('Window', 'Admissions        ', ' 1775')
                      , ('Window', 'Financial Aid     ', '17377')
                      , ('Window', 'Miscellaneous     ', ' 2720')
                      , ('Window', 'Student Financials', '14039')
                      , ('Phone ', 'Admissions        ', ' 5758')
                      , ('Phone ', 'Financial Aid     ', '10048')
                      , ('Phone ', 'Miscellaneous     ', ' 4497')
                      , ('Phone ', 'Registration      ', '   11')
                      , ('Phone ', 'Student Financials', ' 4857')
                ) X ([Contact_Type], [Category_Type], [Category_Count])
     )   


     SELECT * 
       INTO #TEMP_PIVOT
       FROM [CONTACT]

    DECLARE @TYPE    VARCHAR(MAX)   
        SET @TYPE = STUFF( 
                          (SELECT DISTINCT ', ' + QUOTENAME(RTRIM(LTRIM([CATEGORY_TYPE])))
                                    FROM #TEMP_PIVOT
                                     FOR XML PATH('')
                          )
                          , 1, 1, '')

   DECLARE @SQL    VARCHAR(MAX)
       SET @SQL = '  SELECT [CONTACT_TYPE] '
                + '       , ' + @TYPE
                + '    FROM #TEMP_PIVOT '
                + '   PIVOT ( '
                + '           MAX([CATEGORY_COUNT]) '
                + '           FOR [CATEGORY_TYPE] IN (' + @TYPE + ')'
                + '         ) P '

     EXECUTE (@SQL)

如何将行转换为SQL查询中的列

3 个答案: