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SQL-数据透视表和分组不起作用

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SQL-数据透视表和分组不起作用

您不能

GROUP BY activity, document,extraction
PIVOT
表运算符内,该
PIVOT
运算符会自动推断出分组的列。但是您可以这样写:

WITH PivotedAS(  SELECt *  FROM table1  PIVOT   (     sum([Count]) FOR [Type] IN ( document ,Extraction)  ) AS p) SELECt   product,  SUM(Users) AS TotalUsers,  MAX(DAte) AS LatestDate,  MAX(document) AS document,  MAX(Extraction) AS ExtractionFROM PivotedGROUP BY Product;

SQL小提琴演示

这将为您提供:

| PRODUCT | TOTALUSERS |        LATESTDATE | document | EXTRACTION |-------------------------------------------------------------------------------|   prodA |         60 | March, 02 2013 02:00:00+0000 |      113 |        152 ||   prodB |         45 | March, 02 2013 02:00:00+0000 |       40 |         73 |

更新1

WITH aAS(  SELECt        activity,     username,     [Last Accessed] = max(DATEADD(dd,  DATEDIFF(d, 0, ActDateTime),  0)),     --[#Users] = count(distinct username),     CASE       WHEN COUNT(activity) IS NOT NULL THEN 1       ELSE 0     END AS Count,    CASE       WHEN pageURL LIKE '/document%'        OR pageURL LIKE '/Database%' THEN 'document'      ELSE 'Extraction'     END AS [Type]   from activitylog  where pageURL not like '%home%'     AND pageURL not like '/Default%'  group by activity, username, ...), PivotedAS(  SELECt *  FROM a  PIVOT   (     sum([Count]) FOR [Type] IN ( document , Extraction)   ) AS p) SELECt   product,  SUM(Users) AS TotalUsers,  MAX(DAte) AS LatestDate,  MAX(document) AS document,  MAX(Extraction) AS ExtractionFROM PivotedGROUP BY Product;


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