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对不同记录的透视查询

  •  7
  • Prashant Pimpale Dila Gurung  · 技术社区  · 6 年前

    ------------------------------------------------------
    | Id    Code  percentage  name  name1   activity     |
    -----------------------------------------------------
    | 1   Prashant  43.43    James  James_  Running      |
    | 1   Prashant  70.43    Sam    Sam_    Cooking      |
    | 1   Prashant  90.34    Lisa   Lisa_   Walking      |
    | 1   Prashant  0.00     James  James_  Stealing     |
    | 1   Prashant  0.00     James  James_  Lacking      |
    | 1   Prashant  73       Sam     Sam_   Cooking 1    |
    ------------------------------------------------------
    

    问题是,由于 MAX 0.00 Lacking

    预期结果:

    -------------------------------------------------------------------
    Id  Code        James    James_  Sam        Sam_    Lisa      Lisa_
    -------------------------------------------------------------------
    1   Prashant    Running  43.43  Cooking     3.43    Walking   90.34
    1   Prashant    Stealing 0.0    Cooking 1   73      NULL      NULL
    1   Prashant    Lacking  0.0    NULL        NULL    NULL      NULL
    -------------------------------------------------------------------
    

    PIVOT查询我尝试了什么:

    DECLARE @DynamicPivotQuery NVARCHAR(MAX)
    
    SET @DynamicPivotQuery  = N'SELECT Id,Code,James,James_,Sam,Sam_,Lisa,Lisa_
        INTO ##TempPivot 
        FROM A
        PIVOT(MAX(activity)
              FOR name IN (James,Sam,Lisa)) AS PVTTable PIVOT
              (
              MAX(percentage)
              FOR name1 IN (James_,Sam_,Lisa_)) AS PVTTable1'
    
    
    EXECUTE(@DynamicPivotQuery) 
    
    SELECT * 
    INTO #RESULT 
    FROM ##TempPivot
    
    
    SELECT * 
    FROM #RESULT
    

    生成数据的示例查询:

    CREATE TABLE A
    (
      Id NVARCHAR(10),
      Code NVARCHAR(MAX),
      percentage NVARCHAR(MAX),
      name NVARCHAR(MAX),
      name1 NVARCHAR(MAX),
      activity NVARCHAR(MAX)
    )
    
    
    INSERT INTO A VALUES (1,'Prashant',43.43,'James','James_','Running')
    INSERT INTO A VALUES (1,'Prashant',3.43,'Sam','Sam_','Cooking')
    INSERT INTO A VALUES (1,'Prashant',90.34,'Lisa','Lisa_','Walking')
    INSERT INTO A VALUES (1,'Prashant',0.00,'James','James_','Stealing')
    INSERT INTO A VALUES (1,'Prashant',0.00,'James','James_','Lacking')
    INSERT INTO A VALUES (1,'Prashant',73,'Sam','Sam_','Cooking 1')
    
    1 回复  |  直到 5 年前
        1
  •  2
  •   Max Szczurek    6 年前

    如果将行数()添加到组合中,则pivot将能够保留活动和百分比之间的关联。

    ;with cte as 
    (
        select *, ROW_NUMBER() over (partition by name order by percentage desc) ROWNUM
        from A
    ),
    cte2 as
    (
        SELECT Id,Code,ROWNUM,James,James_,Sam,Sam_,Lisa,Lisa_
        FROM cte
        PIVOT(MAX(activity)
              FOR name IN (James,Sam,Lisa)) AS PVTTable PIVOT
              (
              MAX(percentage)
              FOR name1 IN (James_,Sam_,Lisa_)) AS PVTTable1
    )
    select Id, Code, MAX(James) James, MAX(James_) James_, MAX(Sam) Sam, MAX(Sam_) Sam_, MAX(Lisa) Lisa, MAX(Lisa_) Lisa_
    from cte2
    group by Id, Code, ROWNUM
    

    返回:

    Id  Code        James       James_  Sam         Sam_    Lisa    Lisa_
    1   Prashant    Running     43.43   Cooking 1   73      Walking 90.34
    1   Prashant    Stealing    0.00    Cooking     3.43    NULL    NULL
    1   Prashant    Lacking     0.00    NULL        NULL    NULL    NULL
    

    Id  Code        percentage  name    name1   activity    ROWNUM
    1   Prashant    43.43       James   James_  Running     1
    1   Prashant    0.00        James   James_  Stealing    2
    1   Prashant    0.00        James   James_  Lacking     3
    1   Prashant    90.34       Lisa    Lisa_   Walking     1
    1   Prashant    73          Sam     Sam_    Cooking 1   1
    1   Prashant    3.43        Sam     Sam_    Cooking     2
    

    在剩下的查询中,ROWNUM列只是将百分比值绑定到活动。

    declare @sql nvarchar(max)
    declare @name_concat nvarchar(max)
    declare @name1_concat nvarchar(max)
    declare @select_aggs nvarchar(max)
    select @name_concat = STUFF((select distinct ',' + quotename(name) from A order by 1 for xml path('')), 1, 1, '')
    select @name1_concat = STUFF((select distinct ',' + quotename(name1) from A order by 1 for xml path('')), 1, 1, '')
    
    ;with cte_all_names as (
        select name from A
        union all 
        select name1 from A
    )
    select @select_aggs = STUFF((select distinct ',MAX(' + quotename(name) + ') ' + quotename(name) from cte_all_names order by 1 for xml path('')), 1, 1, '')
    
    select @sql = '
    ;with cte as 
    (
        select *, ROW_NUMBER() over (partition by name order by percentage desc) ROWNUM
        from A
    ),
    cte2 as
    (
        SELECT Id,Code,ROWNUM,' + @name_concat + ',' + @name1_concat + '
        FROM cte
        PIVOT(MAX(activity)
              FOR name IN (' + @name_concat + ')) AS PVTTable PIVOT
              (
              MAX(percentage)
              FOR name1 IN (' + @name1_concat + ')) AS PVTTable1
    )
    select Id, Code, ' + @select_aggs + '
    from cte2
    group by Id, Code, ROWNUM
    '
    
    exec sp_executesql @sql