Simple SQL challenge - who can solve

  • Alan.B (5/11/2016)


    I think my performance test proves that a calendar table is a viable high-performing alternative. In the end I would go with a tally table solution because of the proper date range situation. I presented a calendar table solution because it is also a viable option and a great tool for the set-based thinker.

    The calendar table is indeed a good method for solving this kind of problems;-)

    😎

    Alan's fine test harness with slight modification and two additional functions, an inline tally table function with variable number of months in the output and a constant scan only (union all) version returning 12 months.

    /****************************************************************************************

    1. Create and populate sample calendar table date range 2010 to 2017 (simplified)

    ****************************************************************************************/

    IF OBJECT_ID(N'dbo.LastNMonth_Luis') IS NOT NULL DROP FUNCTION dbo.LastNMonth_Luis ;

    IF OBJECT_ID(N'dbo.LastNMonth_Alan') IS NOT NULL DROP FUNCTION dbo.LastNMonth_Alan ;

    IF OBJECT_ID(N'dbo.LastNMonth_Variable') IS NOT NULL DROP FUNCTION dbo.LastNMonth_Variable;

    IF OBJECT_ID(N'dbo.LastNMonth_Fixed') IS NOT NULL DROP FUNCTION dbo.LastNMonth_Fixed ;

    IF OBJECT_ID(N'dbo.dim_date') IS NOT NULL DROP TABLE dbo.dim_date ;

    CREATE TABLE dbo.dim_date

    (

    calDate date primary key,

    calDay tinyint not null

    );

    INSERT dbo.dim_date

    SELECT TOP (2557) -- enough days to get me from 2010 to 2017

    CAST(DATEADD(DAY,number,'20100101') AS date),

    DAY(DATEADD(DAY,number,'20100101'))

    FROM master..spt_values

    WHERE type = 'p';

    -- filtered covering index for first of the month

    CREATE NONCLUSTERED INDEX nc_FirstOfMonth ON dbo.dim_date(calDate,calDay)

    WHERE calDay = 1;

    GO

    /****************************************************************************************

    2. Create the functions

    ****************************************************************************************/;

    -- Function #1: Inline Tally table solution

    CREATE FUNCTION dbo.LastNMonth_Luis (@inputDate date)

    RETURNS TABLE WITH SCHEMABINDING AS RETURN

    SELECT Mo = DATEADD(MM, DATEDIFF(MM, 0, @inputDate)-n, 0)

    FROM (VALUES(0),(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11))x(n);

    GO

    -- Function #2: Same functionality using a calendar table

    CREATE FUNCTION dbo.LastNMonth_Alan (@inputDate date)

    RETURNS TABLE WITH SCHEMABINDING AS RETURN

    SELECT TOP (12) calDate AS mo

    FROM dbo.dim_date

    WHERE calDay = 1 AND calDate <= @inputdate

    ORDER BY calDate DESC;

    GO

    -- Function #3: Inline Tally table solution with variable number of dates

    CREATE FUNCTION dbo.LastNMonth_Variable

    (

    @INPUT_DATE DATE

    ,@MONTH_COUNT INT

    )

    RETURNS TABLE WITH SCHEMABINDING AS RETURN

    WITH T(N) AS (SELECT N FROM (VALUES (0),(0),(0),(0),(0),(0),(0),(0),(0),(0)) AS X(N))

    , NUMS(N) AS (SELECT TOP(@MONTH_COUNT) ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS N FROM T T1,T T2,T T3)

    SELECT

    DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE)-(nm.N -1), 0) AS MONTH_VAL

    FROM NUMS NM;

    GO

    -- Function #4: Fixed Constant Scan Function

    CREATE FUNCTION dbo.LastNMonth_Fixed

    (

    @INPUT_DATE DATE

    )

    RETURNS TABLE WITH SCHEMABINDING AS RETURN

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE), 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 1, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 2, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 3, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 4, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 5, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 6, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 7, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 8, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 9, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) -10, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) -11, 0) AS MONTH_VAL;

    GO

    --SELECT * FROM dbo.LastNMonth_Luis(getdate());

    --SELECT * FROM dbo.LastNMonth_Alan(getdate());

    ;

    /****************************************************************************************

    3. Populate #tmp with sample data (and ID and a date)

    ****************************************************************************************/;

    IF OBJECT_ID('tempdb..#tmp') IS NOT NULL DROP TABLE #tmp;

    CREATE TABLE #tmp

    (

    id int primary key,

    SomeDate date not null

    );

    INSERT #tmp

    SELECT TOP (100000)

    DateID = ROW_NUMBER() OVER (ORDER BY (SELECT NULL)),

    SomeDate = CAST(DATEADD(DAY,CHECKSUM(newid())%500,'20130702') AS date)

    FROM sys.all_columns a, sys.all_columns b;

    GO

    /****************************************************************************************

    4. Performance test - run the function for each ID

    ****************************************************************************************/;

    DECLARE @TIMER TABLE (T_TEXT VARCHAR(30) NOT NULL, T_TS DATETIME2(7) NOT NULL DEFAULT(SYSDATETIME()));

    DECLARE @INT_BUCKET INT = 0;

    DECLARE @TINYINT_BUCKET TINYINT = 0;

    DECLARE @DATE_BUCKET DATE = CONVERT(DATE,GETDATE(),0);

    INSERT INTO @TIMER(T_TEXT) VALUES('DRY RUN #tmp');

    SELECT

    @INT_BUCKET = T.id

    ,@DATE_BUCKET = T.SomeDate

    FROM #tmp T;

    INSERT INTO @TIMER(T_TEXT) VALUES('DRY RUN #tmp');

    INSERT INTO @TIMER(T_TEXT) VALUES('DRY RUN dbo.dim_date');

    SELECT

    @TINYINT_BUCKET = T.calDay

    ,@DATE_BUCKET = T.calDate

    FROM dbo.dim_date T;

    INSERT INTO @TIMER(T_TEXT) VALUES('DRY RUN dbo.dim_date');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Luis 01');

    SELECT

    @DATE_BUCKET = LL.Mo

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Luis(T.SomeDate) LL

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Luis 01');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Variable 01');

    SELECT

    @DATE_BUCKET = LV.MONTH_VAL

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Variable(T.SomeDate,12) LV

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Variable 01');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Fixed 01');

    SELECT

    @DATE_BUCKET = LV.MONTH_VAL

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Fixed(T.SomeDate) LV

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Fixed 01');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Alan 01');

    SELECT

    @DATE_BUCKET = LA.mo

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Alan(T.SomeDate) LA

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Alan 01');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Luis 02');

    SELECT

    @DATE_BUCKET = LL.Mo

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Luis(T.SomeDate) LL

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Luis 02');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Variable 02');

    SELECT

    @DATE_BUCKET = LV.MONTH_VAL

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Variable(T.SomeDate,12) LV

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Variable 02');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Fixed 02');

    SELECT

    @DATE_BUCKET = LV.MONTH_VAL

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Fixed(T.SomeDate) LV

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Fixed 02');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Alan 02');

    SELECT

    @DATE_BUCKET = LA.mo

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Alan(T.SomeDate) LA

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Alan 02');

    SELECT

    T.T_TEXT

    ,DATEDIFF(MICROSECOND,MIN(T.T_TS),MAX(T.T_TS)) AS DURATION

    FROM @TIMER T

    GROUP BY T.T_TEXT

    ORDER BY DURATION;

    Results on 2nd Gen i5 laptop, Microsoft SQL Server 2014 - 12.0.4213.0 (X64)

    T_TEXT DURATION

    ------------------------------ --------

    DRY RUN dbo.dim_date 0

    DRY RUN #tmp 20000

    dbo.LastNMonth_Alan 01 310000

    dbo.LastNMonth_Alan 02 310001

    dbo.LastNMonth_Fixed 02 340000

    dbo.LastNMonth_Fixed 01 340001

    dbo.LastNMonth_Luis 01 590001

    dbo.LastNMonth_Luis 02 600001

    dbo.LastNMonth_Variable 01 640001

    dbo.LastNMonth_Variable 02 650001

    Results on 3rd Gen i7, Microsoft SQL Server 2016 (RC2) - 13.0.1300.275 (X64)

    T_TEXT DURATION

    ------------------------------ --------

    DRY RUN dbo.dim_date 0

    DRY RUN #tmp 22128

    dbo.LastNMonth_Fixed 02 285153

    dbo.LastNMonth_Fixed 01 300779

    dbo.LastNMonth_Alan 02 347657

    dbo.LastNMonth_Alan 01 416662

    dbo.LastNMonth_Luis 01 700629

    dbo.LastNMonth_Variable 02 770511

    dbo.LastNMonth_Luis 02 802078

    dbo.LastNMonth_Variable 01 848965

  • Alan.B: You have escaped the primary performance problem of chewing through unnecessary rows of each month on the date dim table with the filtered index. Well done. That was a nice trick - something I have not seen done before. That's a phrase I don't utter very often in SQL Server land! 😀

    Best,
    Kevin G. Boles
    SQL Server Consultant
    SQL MVP 2007-2012
    TheSQLGuru on googles mail service

  • Thanks to everyone so far for their innovative solutions; I thought it might trigger quite a bit of interest.

  • TheSQLGuru (5/11/2016)


    Drew.Allen: if you want to better test server performance on a given query that does lots of rows SELECT, just put the column(s) into variable(s). Voila - no more timing temp table operations or spooling large numbers of rows to a client when that timing isn't germane to the test.

    Yes, I thought of that last night right after I posted, but I didn't have time to redo it, because I needed to leave for a class that I was teaching.

    Drew

    J. Drew Allen
    Business Intelligence Analyst
    Philadelphia, PA

  • This Query will Return current and Previous 12 month Start Date..

    ==========================================

    DECLARE @month int=0

    DECLARE @table TABLE (LastYearDate DATETIME)

    WHILE @month<12

    BEGIN

    INSERT @table

    ( LastYearDate )

    SELECT DATEADD(MONTH,DATEDIFF(MONTH,0,GETDATE())-@month,0)

    SET @month+=1

    END

    SELECT * from @table

    ==================================

    I hope this query will Help you..

  • Neeraj Pal (5/13/2016)


    This Query will Return current and Previous 12 month Start Date..

    ==========================================

    DECLARE @month int=0

    DECLARE @table TABLE (LastYearDate DATETIME)

    WHILE @month<12

    BEGIN

    INSERT @table

    ( LastYearDate )

    SELECT DATEADD(MONTH,DATEDIFF(MONTH,0,GETDATE())-@month,0)

    SET @month+=1

    END

    SELECT * from @table

    ==================================

    I hope this query will Help you..

    Strongly suggest NOT using this method, absolutely horrible performance, hundred times slower than the other.

    😎

    The code as a function

    CREATE FUNCTION dbo.LastNMonth_neerajprayag

    (

    @INPUT_DATE DATE

    )

    RETURNS @table TABLE (LastYearDate DATETIME) WITH SCHEMABINDING

    AS

    BEGIN

    DECLARE @month int=0

    WHILE @month<12

    BEGIN

    INSERT @table ( LastYearDate )

    SELECT DATEADD(MONTH,DATEDIFF(MONTH,0,@INPUT_DATE)-@month,0)

    SET @month+=1

    END

    RETURN

    END

    The previous test harness with the while loop multi statement table valued function

    /****************************************************************************************

    1. Create and populate sample calendar table date range 2010 to 2017 (simplified)

    ****************************************************************************************/

    IF OBJECT_ID(N'dbo.LastNMonth_Luis') IS NOT NULL DROP FUNCTION dbo.LastNMonth_Luis ;

    IF OBJECT_ID(N'dbo.LastNMonth_Alan') IS NOT NULL DROP FUNCTION dbo.LastNMonth_Alan ;

    IF OBJECT_ID(N'dbo.LastNMonth_Variable') IS NOT NULL DROP FUNCTION dbo.LastNMonth_Variable ;

    IF OBJECT_ID(N'dbo.LastNMonth_Fixed') IS NOT NULL DROP FUNCTION dbo.LastNMonth_Fixed ;

    IF OBJECT_ID(N'dbo.LastNMonth_neerajprayag') IS NOT NULL DROP FUNCTION dbo.LastNMonth_neerajprayag;

    IF OBJECT_ID('dbo.dim_date') IS NOT NULL DROP TABLE dbo.dim_date ;

    CREATE TABLE dbo.dim_date

    (

    calDate date primary key,

    calDay tinyint not null

    );

    INSERT dbo.dim_date

    SELECT TOP (2557) -- enough days to get me from 2010 to 2017

    CAST(DATEADD(DAY,number,'20100101') AS date),

    DAY(DATEADD(DAY,number,'20100101'))

    FROM master..spt_values

    WHERE type = 'p';

    -- filtered covering index for first of the month

    CREATE NONCLUSTERED INDEX nc_FirstOfMonth ON dbo.dim_date(calDate,calDay)

    WHERE calDay = 1;

    GO

    /****************************************************************************************

    2. Create the functions

    ****************************************************************************************/;

    -- Function #1: Inline Tally table solution

    CREATE FUNCTION dbo.LastNMonth_Luis (@inputDate date)

    RETURNS TABLE WITH SCHEMABINDING AS RETURN

    SELECT Mo = DATEADD(MM, DATEDIFF(MM, 0, @inputDate)-n, 0)

    FROM (VALUES(0),(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11))x(n);

    GO

    -- Function #2: Same functionality using a calendar table

    CREATE FUNCTION dbo.LastNMonth_Alan (@inputDate date)

    RETURNS TABLE WITH SCHEMABINDING AS RETURN

    SELECT TOP (12) calDate AS mo

    FROM dbo.dim_date

    WHERE calDay = 1 AND calDate <= @inputdate

    ORDER BY calDate DESC;

    GO

    -- Function #3: Inline Tally table solution with variable number of dates

    CREATE FUNCTION dbo.LastNMonth_Variable

    (

    @INPUT_DATE DATE

    ,@MONTH_COUNT INT

    )

    RETURNS TABLE WITH SCHEMABINDING AS RETURN

    WITH T(N) AS (SELECT N FROM (VALUES (0),(0),(0),(0),(0),(0),(0),(0),(0),(0)) AS X(N))

    , NUMS(N) AS (SELECT TOP(@MONTH_COUNT) ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS N FROM T T1,T T2,T T3)

    SELECT

    DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE)-(nm.N -1), 0) AS MONTH_VAL

    FROM NUMS NM;

    GO

    -- Function #4: Fixed Constant Scan Function

    CREATE FUNCTION dbo.LastNMonth_Fixed

    (

    @INPUT_DATE DATE

    )

    RETURNS TABLE WITH SCHEMABINDING AS RETURN

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE), 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 1, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 2, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 3, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 4, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 5, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 6, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 7, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 8, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) - 9, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) -10, 0) AS MONTH_VAL UNION ALL

    SELECT DATEADD(MM, DATEDIFF(MM, 0, @INPUT_DATE) -11, 0) AS MONTH_VAL;

    GO

    -- Function #5 While Loop

    CREATE FUNCTION dbo.LastNMonth_neerajprayag

    (

    @INPUT_DATE DATE

    )

    RETURNS @table TABLE (LastYearDate DATETIME) WITH SCHEMABINDING

    AS

    BEGIN

    DECLARE @month int=0

    WHILE @month<12

    BEGIN

    INSERT @table ( LastYearDate )

    SELECT DATEADD(MONTH,DATEDIFF(MONTH,0,@INPUT_DATE)-@month,0)

    SET @month+=1

    END

    RETURN

    END

    go

    --SELECT * FROM dbo.LastNMonth_Luis(getdate());

    --SELECT * FROM dbo.LastNMonth_Alan(getdate());

    ;

    /****************************************************************************************

    3. Populate #tmp with sample data (and ID and a date)

    ****************************************************************************************/;

    IF OBJECT_ID('tempdb..#tmp') IS NOT NULL DROP TABLE #tmp;

    CREATE TABLE #tmp

    (

    id int primary key,

    SomeDate date not null

    );

    INSERT #tmp

    SELECT TOP (100000)

    DateID = ROW_NUMBER() OVER (ORDER BY (SELECT NULL)),

    SomeDate = CAST(DATEADD(DAY,CHECKSUM(newid())%500,'20130702') AS date)

    FROM sys.all_columns a, sys.all_columns b;

    GO

    /****************************************************************************************

    4. Performance test - run the function for each ID

    ****************************************************************************************/;

    DECLARE @TIMER TABLE (T_TEXT VARCHAR(30) NOT NULL, T_TS DATETIME2(7) NOT NULL DEFAULT(SYSDATETIME()));

    DECLARE @INT_BUCKET INT = 0;

    DECLARE @TINYINT_BUCKET TINYINT = 0;

    DECLARE @DATE_BUCKET DATE = CONVERT(DATE,GETDATE(),0);

    INSERT INTO @TIMER(T_TEXT) VALUES('DRY RUN #tmp');

    SELECT

    @INT_BUCKET = T.id

    ,@DATE_BUCKET = T.SomeDate

    FROM #tmp T;

    INSERT INTO @TIMER(T_TEXT) VALUES('DRY RUN #tmp');

    INSERT INTO @TIMER(T_TEXT) VALUES('DRY RUN dbo.dim_date');

    SELECT

    @TINYINT_BUCKET = T.calDay

    ,@DATE_BUCKET = T.calDate

    FROM dbo.dim_date T;

    INSERT INTO @TIMER(T_TEXT) VALUES('DRY RUN dbo.dim_date');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Luis 01');

    SELECT

    @DATE_BUCKET = LL.Mo

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Luis(T.SomeDate) LL

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Luis 01');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Variable 01');

    SELECT

    @DATE_BUCKET = LV.MONTH_VAL

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Variable(T.SomeDate,12) LV

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Variable 01');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Fixed 01');

    SELECT

    @DATE_BUCKET = LV.MONTH_VAL

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Fixed(T.SomeDate) LV

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Fixed 01');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Alan 01');

    SELECT

    @DATE_BUCKET = LA.mo

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Alan(T.SomeDate) LA

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Alan 01');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_neerajprayag 01');

    SELECT

    @DATE_BUCKET = LN.LastYearDate

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_neerajprayag(T.SomeDate) LN

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_neerajprayag 01');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Luis 02');

    SELECT

    @DATE_BUCKET = LL.Mo

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Luis(T.SomeDate) LL

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Luis 02');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Variable 02');

    SELECT

    @DATE_BUCKET = LV.MONTH_VAL

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Variable(T.SomeDate,12) LV

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Variable 02');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Fixed 02');

    SELECT

    @DATE_BUCKET = LV.MONTH_VAL

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Fixed(T.SomeDate) LV

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Fixed 02');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Alan 02');

    SELECT

    @DATE_BUCKET = LA.mo

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_Alan(T.SomeDate) LA

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_Alan 02');

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_neerajprayag 02');

    SELECT

    @DATE_BUCKET = LN.LastYearDate

    FROM #tmp T

    CROSS APPLY dbo.LastNMonth_neerajprayag(T.SomeDate) LN

    INSERT INTO @TIMER(T_TEXT) VALUES('dbo.LastNMonth_neerajprayag 02');

    SELECT

    T.T_TEXT

    ,DATEDIFF(MICROSECOND,MIN(T.T_TS),MAX(T.T_TS)) AS DURATION

    FROM @TIMER T

    GROUP BY T.T_TEXT

    ORDER BY DURATION;

    select @@VERSION

    Results

    T_TEXT DURATION

    ------------------------------ -----------

    DRY RUN dbo.dim_date 0

    DRY RUN #tmp 20000

    dbo.LastNMonth_Alan 01 330000

    dbo.LastNMonth_Alan 02 390001

    dbo.LastNMonth_Fixed 02 420000

    dbo.LastNMonth_Fixed 01 540001

    dbo.LastNMonth_Luis 02 700001

    dbo.LastNMonth_Luis 01 710001

    dbo.LastNMonth_Variable 01 770001

    dbo.LastNMonth_Variable 02 880002

    dbo.LastNMonth_neerajprayag 01 22714035

    dbo.LastNMonth_neerajprayag 02 22794035

  • TheSQLGuru (5/11/2016)


    Alan.B: You have escaped the primary performance problem of chewing through unnecessary rows of each month on the date dim table with the filtered index. Well done. That was a nice trick - something I have not seen done before. That's a phrase I don't utter very often in SQL Server land! 😀

    Things like Alan's trick makes it so much worth while attending to this site, mind you not the first time he comes up with a cleaver solution.

    😎

  • Eirikur Eiriksson (5/13/2016)


    TheSQLGuru (5/11/2016)


    Alan.B: You have escaped the primary performance problem of chewing through unnecessary rows of each month on the date dim table with the filtered index. Well done. That was a nice trick - something I have not seen done before. That's a phrase I don't utter very often in SQL Server land! 😀

    Things like Alan's trick makes it so much worth while attending to this site, mind you not the first time he comes up with a cleaver solution.

    😎

    Thanks you Eirikur 😎

    "I cant stress enough the importance of switching from a sequential files mindset to set-based thinking. After you make the switch, you can spend your time tuning and optimizing your queries instead of maintaining lengthy, poor-performing code."

    -- Itzik Ben-Gan 2001

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