SQL Query help

  • Hi,

    How can Insert the same record until I find the next value in SQL? Here is my sample code/data.

    DECLARE  @test as table
    (
    id int IDENTITY(1,1),
    code varchar(20),
    result varchar(20)
    );

    INSERT INTO @test (code,result)
    VALUES
    ('R235','Good'),
    ('R236',''),
    ('R236',''),
    ('R235','Failed'),
    ('R238',''),
    ('R239','Verified'),
    ('R239',''),
    ('R235','')

    SELECT * FROM @test t

    Here what I want.

    Final output

    id,code,result

    1,R235,Good

    2,R236,Good

    3,R236,Good

    4,R235,Failed

    5,R238,Failed

    6,R239,Verified

    7,R239,Verified

    8,R235,Verified

    Thanks for help!

     

  • It seems like you're looking for an UPDATE statement

    /* select using OUTER APPLY and TOP(1) */
    select t.id, t.code, t.result, prev.result prev_result,
    coalesce(nullif(t.result, ''), prev.result) result
    from @test t
    outer apply (select top(1) tt.result
    from @test tt
    where tt.id<t.id
    and len(tt.result)>0
    order by tt.id desc) prev(result);

    /* update after inserted */
    update t
    set result=coalesce(nullif(t.result, ''), prev.result)
    from @test t
    outer apply (select top(1) tt.result
    from @test tt
    where tt.id<t.id
    and tt.result<>''
    order by tt.id desc) prev(result)
    where t.result='';

    select * from @test;

    Aus dem Paradies, das Cantor uns geschaffen, soll uns niemand vertreiben können

  • Generally, an approach that uses windowed functions is going to perform better than one using CROSS/OUTER APPLY, because it's going to have to read the table fewer times.  The following approach uses windowed functions.  The formula is a bit complicated, but it's actually fairly easy if you break it down into parts.

    • We want the last non-blank value, but it's easier to work with non-null values, so we're converting blanks to nulls.

      • NULLIF(t.result, '')

    • LAST_VALUE() gives the last value regardless of whether it is null, so we are using MAX() instead.
    • We want the value of one field (result) based on the max of another field (id), so we are concatenating them.
    • They are different data types, so we're converting them both to binary.
    • We're using SUBSTRING() to get the part of the max value that corresponds to the field we want.

      • We're converting that substring back to varchar.

    WITH smear AS
    (
    SELECT *
    , CAST(SUBSTRING(MAX(CAST(t.id AS BINARY(5)) + CAST(NULLIF(t.result, '') AS BINARY(20))) OVER(ORDER BY t.id ROWS UNBOUNDED PRECEDING), 6, 20) AS VARCHAR(20)) AS PrevValue
    FROM @test2 AS t
    )
    UPDATE smear
    SET result = PrevValue;

    Here is a comparison of the reads for the two queries.

    -- Steve's query
    Table '#AA53CFDE'. Scan count 2, logical reads 7, physical reads 0, page server reads 0, read-ahead reads 0, page server read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob page server reads 0, lob read-ahead reads 0, lob page server read-ahead reads 0.
    Table 'Worktable'. Scan count 2, logical reads 40, physical reads 0, page server reads 0, read-ahead reads 0, page server read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob page server reads 0, lob read-ahead reads 0, lob page server read-ahead reads 0.

    -- Drew's query
    Table '#AB47F417'. Scan count 1, logical reads 9, physical reads 0, page server reads 0, read-ahead reads 0, page server read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob page server reads 0, lob read-ahead reads 0, lob page server read-ahead reads 0.
    Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, page server reads 0, read-ahead reads 0, page server read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob page server reads 0, lob read-ahead reads 0, lob page server read-ahead reads 0.

    Drew

    Edited to correct the name of the author of the other solution.

    • This reply was modified 1 year, 2 months ago by  drew.allen.

    J. Drew Allen
    Business Intelligence Analyst
    Philadelphia, PA

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