SQL数据透视表动态

时间:2015-01-21 13:56:08

标签: sql sql-server sql-server-2012 pivot

我已经非常努力地了解如何在SQL中创建数据透视表,但我无法管理它!

我有以下专栏:

link_id   route_section   date_1    StartHour     AvJT    data_source
.......   .............  .......   ...........   ......  ............

拥有600,000行数据。

我需要在以下数据透视表中使用它们;

  • date_1 StartHour作为列标题
  • link_id作为行标题
  • AvJT作为数据
  • data_source =' 1'作为过滤器。

PIVOT TABLE

Link_ID 
date_1      StartHour    00001a    000002a    000003a    000004a
20/01/2014    8           456       4657        556       46576
21/01/2014    8           511       4725        601       52154
22/01/2014    8           468       4587        458       47585
23/01/2014    8           456       4657        556       46576
24/01/2014    8           456       4657        556       46576
25/01/2014    8           456       4657        556       46576
26/01/2014    8           456       4657        556       46576

我设法获得了以下代码,但这只是我的日期_1作为列标题而不是StartHour,或者过滤器为date_source =' 1'。

    Use [C1_20132014]

DECLARE @DynamicPivotQuery AS NVARCHAR(MAX)
DECLARE @ColumnName AS NVARCHAR(MAX)

--Get distinct values of the PIVOT Column 
SELECT @ColumnName= ISNULL(@ColumnName + ',','') 
       + QUOTENAME(Link_ID)
FROM (SELECT DISTINCT Link_ID FROM C1_May_Routes) AS Link_ID

--Prepare the PIVOT query using the dynamic 
SET @DynamicPivotQuery = 
  N'SELECT Date_1, ' + @ColumnName + '
    FROM C1_May_Routes
    PIVOT(SUM(AvJT) 
          FOR Link_ID IN (' + @ColumnName + ')) AS PVTTable'
--Execute the Dynamic Pivot Query
EXEC sp_executesql @DynamicPivotQuery

感谢您的帮助,

亨利

2 个答案:

答案 0 :(得分:1)

在这里,您将选择列中的值以显示为pivot

中的列
DECLARE @cols NVARCHAR (MAX)

SELECT @cols = COALESCE (@cols + ',[' + AvJT + ']', '[' + AvJT + ']')
               FROM    (SELECT DISTINCT AvJT FROM YourTable) PV  
               ORDER BY AvJT

现在转动查询

DECLARE @query NVARCHAR(MAX)
SET @query = 'SELECT * FROM 
             (
                 SELECT date_1, StartHour,AvJT, data_source 
                 FROM YourTable
             ) x
             PIVOT 
             (
                 -- Values in each dynamic column
                 SUM(data_source)
                 FOR AvJT IN (' + @cols + ')                      
            ) p;' 

EXEC SP_EXECUTESQL @query

如果要将列名称设置为动态,可以执行以下查询

SELECT DATE_1,STARTHOUR,
MIN(CASE WHEN AvJT='00001a' THEN data_source END) [00001a],
MIN(CASE WHEN AvJT='00002a' THEN data_source END) [00002a],
MIN(CASE WHEN AvJT='00003a' THEN data_source END) [00003a],
MIN(CASE WHEN AvJT='00004a' THEN data_source END) [00004a]
FROM YOURTABLE
GROUP BY  DATE_1,STARTHOUR

编辑:

我正在更新您的更新问题。

声明用于过滤data_source

的变量
DECLARE @DATASOURCE VARCHAR(20) = '1' 

您可以使用其他格式来获取数据透视列

,而不是QUOTENAME
DECLARE @cols NVARCHAR (MAX)

SELECT @cols = COALESCE (@cols + ',[' + Link_ID + ']', '[' + Link_ID + ']')
               FROM    (SELECT DISTINCT Link_ID FROM C1_May_Routes WHERE data_source=@DATASOURCE) PV  
               ORDER BY Link_ID

现在转动

DECLARE @query NVARCHAR(MAX)
SET @query = 'SELECT * FROM 
             (
                 -- We will select the data that has to be shown for pivoting
                 -- with filtered data_source
                 SELECT date_1, StartHour,AvJT, Link_ID
                 FROM C1_May_Routes
                 WHERE data_source = '+@DATASOURCE+'
             ) x
             PIVOT 
             (
                 -- Values in each dynamic column
                 SUM(AvJT)
                 -- Select columns from @cols 
                 FOR Link_ID IN (' + @cols + ')                      
            ) p;' 

EXEC SP_EXECUTESQL @query

答案 1 :(得分:0)

交叉表就是这样的。 FWIW,我建议使用比00001a更好的列名。为列名提供一些含义,以便更容易使用。

with SortedData as
(
    SELECT date_1
        , StartHour
        , AvJT
        , data_source 
        , ROW_NUMBER() over (partition by date_1 order by AvJT) AS RowNum
    FROM YourTable
)

select date_1
    , StartHour
    , MAX(case when RowNum = 1 then AvJT end) as [00001a]
    , MAX(case when RowNum = 2 then AvJT end) as [00002a]
    , MAX(case when RowNum = 3 then AvJT end) as [00003a]
    , MAX(case when RowNum = 4 then AvJT end) as [00004a]
from SortedData