sql server - SQL Pivot Table dynamic

Question

I've tried so hard to understand how to create a pivot table in SQL, but I can't manage it!

I have the following columns:

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

With 600,000 rows of data.

I need them in the following pivot table;

• date_1 StartHour as column headings
• link_id as the row heading
• AvJT as the data
• with data_source = '1' as the filter.

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

I've managed to get the following code, this works but only gives me date_1 as column heading and not StartHour additionally, or with the filter as 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

Thanks for any help,

Henry

Answer 1

Here you will select the values in a column to show as column in pivot

DECLARE @cols NVARCHAR (MAX)

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

Now pivot the query

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

• Click here to view result

If you want to do it to where column names are not dynamic, you can do the below query

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

• Click here to view result

EDIT :

I am updating for your updated question.

Declare a variable for filtering data_source

DECLARE @DATASOURCE VARCHAR(20) = '1' 

Instead of QUOTENAME, you can use another format to get the columns for pivot

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

Now pivot

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

• Click here to view result