pivot query

  • hi all,

    i am new to t-sql i need to sum of the sales based on months and quarters together can some one help me to solve this.

    CREATE TABLE [dbo].[tablesales2](

    [ID] [int] IDENTITY(1,1) NOT NULL,

    [Name] [nchar](10) COLLATE SQL_Latin1_General_CP1_CI_AS NULL,

    [cost] [numeric](18, 0) NULL,

    [saledate] [datetime] NULL,

    )

    insert into [tablesales2](name,cost,saledate)values('pen',100,'01/01/2001')

    insert into [tablesales2](name,cost,saledate)values('pencil',100,'01/01/2001')

    insert into [tablesales2](name,cost,saledate)values('pen',200,'02/02/2001')

    insert into [tablesales2](name,cost,saledate)values('pencil',200,'02/02/2001')

    insert into [tablesales2](name,cost,saledate)values('pen',300,'04/04/2001')

    insert into [tablesales2](name,cost,saledate)values('pencil',300,'04/04/2001')

    insert into [tablesales2](name,cost,saledate)values('pen',400,'12/12/2001')

    insert into [tablesales2](name,cost,saledate)values('pencil',400,'12/12/2001')

    i need to have the output

    NameJan FebMarAprMayJunJulAugSepOctNovDecQ1Q2Q3 Q4 Total

    pen10020003000000000400300300 400 1000

    pencil100200030000000004003003004001000

    regards,

  • Syed Khalid, tel me, honestly, it is an interview question or home-work question , isn't it?

  • hi,

    neither interview nor homework it is just a requirement.

  • SELECT Name,

    SUM(CASE WHEN DATEPART(month,saledate)=1 THEN cost ELSE 0 END) AS Jan,

    SUM(CASE WHEN DATEPART(month,saledate)=2 THEN cost ELSE 0 END) AS Feb,

    SUM(CASE WHEN DATEPART(month,saledate)=3 THEN cost ELSE 0 END) AS Mar,

    SUM(CASE WHEN DATEPART(month,saledate)=4 THEN cost ELSE 0 END) AS Apr,

    SUM(CASE WHEN DATEPART(month,saledate)=5 THEN cost ELSE 0 END) AS May,

    SUM(CASE WHEN DATEPART(month,saledate)=6 THEN cost ELSE 0 END) AS Jun,

    SUM(CASE WHEN DATEPART(month,saledate)=7 THEN cost ELSE 0 END) AS Jul,

    SUM(CASE WHEN DATEPART(month,saledate)=8 THEN cost ELSE 0 END) AS Aug,

    SUM(CASE WHEN DATEPART(month,saledate)=9 THEN cost ELSE 0 END) AS Sep,

    SUM(CASE WHEN DATEPART(month,saledate)=10 THEN cost ELSE 0 END) AS Oct,

    SUM(CASE WHEN DATEPART(month,saledate)=11 THEN cost ELSE 0 END) AS Nov,

    SUM(CASE WHEN DATEPART(month,saledate)=12 THEN cost ELSE 0 END) AS Dec,

    SUM(CASE WHEN DATEPART(quarter,saledate)=1 THEN cost ELSE 0 END) AS Q1,

    SUM(CASE WHEN DATEPART(quarter,saledate)=2 THEN cost ELSE 0 END) AS Q2,

    SUM(CASE WHEN DATEPART(quarter,saledate)=3 THEN cost ELSE 0 END) AS Q3,

    SUM(CASE WHEN DATEPART(quarter,saledate)=4 THEN cost ELSE 0 END) AS Q4,

    SUM(cost) AS Total

    FROM dbo.tablesales2

    GROUP BY Name

    ORDER BY Name;

    ____________________________________________________

    Deja View - The strange feeling that somewhere, sometime you've optimised this query before

    How to get the best help on a forum

    http://www.sqlservercentral.com/articles/Best+Practices/61537
  • Hmmm.. try this:

    ; with cte as

    (

    SELECT name,cost , saledate ,

    Quarter_Num = DATEPART(M ,[saledate] )

    ,Month_Name = LEFT ( DATENAME( M , [saledate]) , 3 )

    FROM [dbo].[tablesales2]

    )

    SELECT

    Name,

    SUM ( CASE WHEN Month_Name = 'Jan' THEN Cost ELSE 0 END ) AS 'JAN' ,

    SUM ( CASE WHEN Month_Name = 'Feb' THEN Cost ELSE 0 END ) AS 'FEB' ,

    SUM ( CASE WHEN Month_Name = 'Mar' THEN Cost ELSE 0 END ) AS 'MAR' ,

    SUM ( CASE WHEN Month_Name = 'Apr' THEN Cost ELSE 0 END ) AS 'APR' ,

    SUM ( CASE WHEN Month_Name = 'May' THEN Cost ELSE 0 END ) AS 'MAY' ,

    SUM ( CASE WHEN Month_Name = 'Jun' THEN Cost ELSE 0 END ) AS 'JUN' ,

    SUM ( CASE WHEN Month_Name = 'Jul' THEN Cost ELSE 0 END ) AS 'JUL' ,

    SUM ( CASE WHEN Month_Name = 'Aug' THEN Cost ELSE 0 END ) AS 'AUG' ,

    SUM ( CASE WHEN Month_Name = 'Sep' THEN Cost ELSE 0 END ) AS 'SEP' ,

    SUM ( CASE WHEN Month_Name = 'Oct' THEN Cost ELSE 0 END ) AS 'OCT' ,

    SUM ( CASE WHEN Month_Name = 'Nov' THEN Cost ELSE 0 END ) AS 'NOV' ,

    SUM ( CASE WHEN Month_Name = 'Dec' THEN Cost ELSE 0 END ) AS 'DEC' ,

    SUM ( CASE WHEN Quarter_Num BETWEEN 1 AND 3 THEN Cost ELSE 0 END ) AS 'Q1' ,

    SUM ( CASE WHEN Quarter_Num BETWEEN 4 AND 6 THEN Cost ELSE 0 END ) AS 'Q2' ,

    SUM ( CASE WHEN Quarter_Num BETWEEN 7 AND 9 THEN Cost ELSE 0 END ) AS 'Q3' ,

    SUM ( CASE WHEN Quarter_Num BETWEEN 10 AND 12 THEN Cost ELSE 0 END ) AS 'Q4',

    SUM ( Cost ) AS Total

    FROM

    cte

    GROUP BY

    Name

  • OOooch :pinch:, Mark beat me to it..

    one variation between Mark and mine, i used DATENAME for the Month, he used DATEPART.. both do the same, infact, mark's is good one, considering the fact that we don't need that extra LEFT(,3) thingy 😉

  • thanks a lot both of you for your support , both solution works.

  • one thing more is it possible to add total also at the bottom for each months and quarters , i tried to use union didn't work , do i need to add the results to temporary table then i have to aggregate the columns?

  • Try this:

    Tweaked with the idea from Mark:

    ; with cte0 as

    (

    SELECT name,cost , saledate

    ,Quarter_Num = DATEPART(Q ,[saledate] )

    ,Month_Num = DATEPART(M ,[saledate] )

    FROM [dbo].[tablesales2]

    ) -- SELECT * FROM cte0

    , cte1 as

    (

    SELECT

    Name,

    SUM ( CASE WHEN Month_Num = 1 THEN Cost ELSE 0 END ) AS 'JAN' ,

    SUM ( CASE WHEN Month_Num = 2 THEN Cost ELSE 0 END ) AS 'FEB' ,

    SUM ( CASE WHEN Month_Num = 3 THEN Cost ELSE 0 END ) AS 'MAR' ,

    SUM ( CASE WHEN Month_Num = 4 THEN Cost ELSE 0 END ) AS 'APR' ,

    SUM ( CASE WHEN Month_Num = 5 THEN Cost ELSE 0 END ) AS 'MAY' ,

    SUM ( CASE WHEN Month_Num = 6 THEN Cost ELSE 0 END ) AS 'JUN' ,

    SUM ( CASE WHEN Month_Num = 7 THEN Cost ELSE 0 END ) AS 'JUL' ,

    SUM ( CASE WHEN Month_Num = 8 THEN Cost ELSE 0 END ) AS 'AUG' ,

    SUM ( CASE WHEN Month_Num = 9 THEN Cost ELSE 0 END ) AS 'SEP' ,

    SUM ( CASE WHEN Month_Num = 10 THEN Cost ELSE 0 END ) AS 'OCT' ,

    SUM ( CASE WHEN Month_Num = 11 THEN Cost ELSE 0 END ) AS 'NOV' ,

    SUM ( CASE WHEN Month_Num = 12 THEN Cost ELSE 0 END ) AS 'DEC' ,

    SUM ( CASE WHEN Quarter_Num = 1 THEN Cost ELSE 0 END ) AS 'Q1' ,

    SUM ( CASE WHEN Quarter_Num = 2 THEN Cost ELSE 0 END ) AS 'Q2' ,

    SUM ( CASE WHEN Quarter_Num = 3 THEN Cost ELSE 0 END ) AS 'Q3' ,

    SUM ( CASE WHEN Quarter_Num = 4 THEN Cost ELSE 0 END ) AS 'Q4',

    SUM ( Cost ) AS Total

    FROM

    cte0

    GROUP BY

    Name

    )

    SELECT Name

    ,JAN ,FEB ,MAR

    ,APR ,MAY ,JUN

    ,JUL ,AUG ,SEP

    ,OCT ,NOV ,DEC

    ,Q1, Q2, Q3, Q4

    ,Total

    FROM

    cte1

    UNION ALL

    SELECT 'Grand Total'

    , SUM (JAN ), SUM (FEB ), SUM (MAR )

    , SUM (APR ), SUM (MAY ), SUM (JUN )

    , SUM (JUL ), SUM (AUG ), SUM (SEP )

    , SUM (OCT ), SUM (NOV ), SUM (DEC)

    , SUM ( Q1 ), SUM ( Q2 ), SUM ( Q3 ), SUM ( Q4 )

    , SUM (Total)

    FROM cte1

  • wow thanks alot ... now i am learning the power of cte...

  • sayedkhalid99 (9/22/2010)


    one thing more is it possible to add total also at the bottom for each months and quarters , i tried to use union didn't work , do i need to add the results to temporary table then i have to aggregate the columns?

    It's probably most efficient to use the WITH ROLLUP clause, but I'm not at a computer where I can test it.

    Drew

    J. Drew Allen
    Business Intelligence Analyst
    Philadelphia, PA

  • I finally had a chance to test this on a table with 18K records. Here are the results for producing a grand total:

    WITH ROLLUP

    Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

    Table 'LEAD'. Scan count 1, logical reads 2428, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

    SQL Server Execution Times:

    CPU time = 93 ms, elapsed time = 108 ms.

    SQL Server parse and compile time:

    CPU time = 63 ms, elapsed time = 63 ms.

    Warning: Null value is eliminated by an aggregate or other SET operation.

    UNION ALL

    Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

    Table 'LEAD'. Scan count 2, logical reads 4856, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

    SQL Server Execution Times:

    CPU time = 187 ms, elapsed time = 209 ms.

    As you can see, the UNION ALL has exactly double the number of Scan Counts and Logical Reads of the WITH ROLLUP.

    Here is the query I used with the rollup.

    SELECT CASE Grouping(Name) WHEN 1 THEN 'Total' ELSE Name END AS [Name],

    SUM(CASE WHEN DATEPART(month,saledate)=1 THEN cost ELSE 0 END) AS Jan,

    SUM(CASE WHEN DATEPART(month,saledate)=2 THEN cost ELSE 0 END) AS Feb,

    SUM(CASE WHEN DATEPART(month,saledate)=3 THEN cost ELSE 0 END) AS Mar,

    SUM(CASE WHEN DATEPART(month,saledate)=4 THEN cost ELSE 0 END) AS Apr,

    SUM(CASE WHEN DATEPART(month,saledate)=5 THEN cost ELSE 0 END) AS May,

    SUM(CASE WHEN DATEPART(month,saledate)=6 THEN cost ELSE 0 END) AS Jun,

    SUM(CASE WHEN DATEPART(month,saledate)=7 THEN cost ELSE 0 END) AS Jul,

    SUM(CASE WHEN DATEPART(month,saledate)=8 THEN cost ELSE 0 END) AS Aug,

    SUM(CASE WHEN DATEPART(month,saledate)=9 THEN cost ELSE 0 END) AS Sep,

    SUM(CASE WHEN DATEPART(month,saledate)=10 THEN cost ELSE 0 END) AS Oct,

    SUM(CASE WHEN DATEPART(month,saledate)=11 THEN cost ELSE 0 END) AS Nov,

    SUM(CASE WHEN DATEPART(month,saledate)=12 THEN cost ELSE 0 END) AS Dec,

    SUM(CASE WHEN DATEPART(quarter,saledate)=1 THEN cost ELSE 0 END) AS Q1,

    SUM(CASE WHEN DATEPART(quarter,saledate)=2 THEN cost ELSE 0 END) AS Q2,

    SUM(CASE WHEN DATEPART(quarter,saledate)=3 THEN cost ELSE 0 END) AS Q3,

    SUM(CASE WHEN DATEPART(quarter,saledate)=4 THEN cost ELSE 0 END) AS Q4,

    SUM(cost) AS Total

    FROM tablesales2

    GROUP BY Name

    WITH ROLLUP

    ORDER BY Grouping(Name), Name;

    Drew

    J. Drew Allen
    Business Intelligence Analyst
    Philadelphia, PA

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