SQL Pivot query help

  • Hi everyone,

    I have data to which I want to build a report, In one category how many records are generated to different types?

    Here is the sample code:-

    DECLARE @TEMP table
    (
    ID INT,
    next_id int,
    d_no int,
    n_type varchar(50),
    d_type varchar(50)

    )
    INSERT INTO @TEMP
    (
    ID,
    next_id,
    d_no,
    n_type,
    d_type
    )
    SELECT 1,2345,8755,'a_type','a_type'
    union ALL
    SELECT 1,2345,8744,'a_type','b_type'
    union ALL
    SELECT 1,564,897,'a_type','b_type'
    union ALL
    SELECT 1,765,88,'z_type','a_type'
    union ALL
    SELECT 1,99,8,'z_type','x_type'
    union ALL
    SELECT 1,66,77,'x_type','x_type'
    union ALL
    SELECT 1,44,555,'x_type','a_type'

    SELECT * FROM @TEMP;

    Here I want the result:- Vertical and total data coming from "n_type" and horizontal data coming from "d_type"

    Appreciate your help!

  • SELECT n_type
    ,COUNT(1) AS Total
    ,SUM(IIF(d_type = 'a_type', 1, 0)) AS a_type
    ,SUM(IIF(d_type = 'b_type', 1, 0)) AS b_type
    ,SUM(IIF(d_type = 'x_type', 1, 0)) AS x_type
    FROM @temp
    GROUP BY n_type
    ORDER BY n_type;
  • Like this?

    SELECT t.n_type
    ,Total = COUNT (1)
    ,a_type = COUNT (IIF(t.d_type = 'a_type', 1, NULL))
    ,b_type = COUNT (IIF(t.d_type = 'b_type', 1, NULL))
    ,x_type = COUNT (IIF(t.d_type = 'x_type', 1, NULL))
    FROM @TEMP t
    GROUP BY t.n_type
    ORDER BY t.n_type;

    • This reply was modified 9 months, 3 weeks ago by  Phil Parkin.

    The absence of evidence is not evidence of absence
    - Martin Rees
    The absence of consumable DDL, sample data and desired results is, however, evidence of the absence of my response
    - Phil Parkin

  • The method that both Ken and Phil are using is an arcane method known as a CROSSTAB and is a much more flexible manifestation than a PIVOT.

    You can read more about it in the old be still very pertinent article at the following link...

    https://www.sqlservercentral.com/articles/cross-tabs-and-pivots-part-1-converting-rows-to-columns-1

     

    --Jeff Moden


    RBAR is pronounced "ree-bar" and is a "Modenism" for Row-By-Agonizing-Row.
    First step towards the paradigm shift of writing Set Based code:
    ________Stop thinking about what you want to do to a ROW... think, instead, of what you want to do to a COLUMN.

    Change is inevitable... Change for the better is not.


    Helpful Links:
    How to post code problems
    How to Post Performance Problems
    Create a Tally Function (fnTally)

  • Thank you, Ken and Phil. This is exactly what I am looking for. I ran it to my real data and it works perfectly.

    Thank you, SSC. I will check out that link.

  • Having same issue, this post help me a lot.  thank you

    {https://fr.cocote.com/}[/code]

Viewing 6 posts - 1 through 5 (of 5 total)

You must be logged in to reply to this topic. Login to reply