• Hey Jeff!

    Using your test harness yesterday, I ran into some unexpected (for me) results. Let me explain:

    --===== Declare some obviously named variables

    DECLARE @NumberOfRows INT,

    @StartValue INT,

    @EndValue INT,

    @Range INT

    ;

    --===== Preset the variables to known values

    SELECT @NumberOfRows = 1000000,

    @StartValue = 400,

    @EndValue = 500,

    @Range = @EndValue - @StartValue + 1

    ;

    --===== Conditionally drop the test table to make reruns easier in SSMS

    IF OBJECT_ID('tempdb..#SomeTestTable','U') IS NOT NULL

    DROP TABLE #SomeTestTable

    ;

    --===== Create the test table with "random constrained" integers and floats

    -- within the parameters identified in the variables above.

    SELECT TOP (@NumberOfRows)

    SomeRandomInteger = ABS(CHECKSUM(NEWID())) % @Range + @StartValue,

    SomeRandomFloat = RAND(CHECKSUM(NEWID())) * @Range + @StartValue

    INTO #SomeTestTable

    FROM sys.all_columns ac1

    CROSS JOIN sys.all_columns ac2

    SELECT MinFloat=MIN(SomeRandomFloat), MaxFloat=MAX(SomeRandomFloat)

    FROM #SomeTestTable

    DROP TABLE #SomeTestTable

    This returns the following:

    MinFloat MaxFloat

    400.000012322329 500.999933381006

    My surprise was due to the fact that RAND() returns a random floating point number on the closed interval {0,1}, whereas this approach yielded some random floats outside the interval {400,500}. Clearly this approach is suitable when you are interested in applying the FLOAT to a date range, such as the following:

    --===== Declare some obviously named variables

    DECLARE @NumberOfRows INT,

    @StartValue INT,

    @EndValue INT,

    @Range INT,

    @FStartValue INT,

    @FEndValue INT,

    @FRange INT

    ;

    --===== Preset the variables to known values

    SELECT @NumberOfRows = 1000000,

    @StartValue = 400,

    @EndValue = 500,

    @Range = @EndValue - @StartValue + 1,

    @FStartValue = 400,

    @FEndValue = 500,

    @FRange = @EndValue - @StartValue

    ;

    --===== Conditionally drop the test table to make reruns easier in SSMS

    IF OBJECT_ID('tempdb..#SomeTestTable','U') IS NOT NULL

    DROP TABLE #SomeTestTable

    ;

    --===== Create the test table with "random constrained" integers and floats

    -- within the parameters identified in the variables above.

    SELECT TOP (@NumberOfRows)

    SomeRandomInteger = ABS(CHECKSUM(NEWID())) % @Range + @StartValue,

    SomeRandomFloat = RAND(CHECKSUM(NEWID())) * @FRange + @FStartValue,

    SomeRandomDate = RAND(CHECKSUM(NEWID())) * @Range +

    DATEADD(day, -@StartValue, DATEADD(day, DATEDIFF(day, 0, GETDATE()), 0))

    INTO #SomeTestTable

    FROM sys.all_columns ac1

    CROSS JOIN sys.all_columns ac2

    SELECT MinFloat=MIN(SomeRandomFloat), MaxFloat=MAX(SomeRandomFloat)

    ,MinDate=MIN(SomeRandomDate), MaxDate=MAX(SomeRandomDate)

    FROM #SomeTestTable

    DROP TABLE #SomeTestTable

    Which delivers these results:

    MinFloat MaxFloat MinDate MaxDate

    400.000069523232 499.999990152787 2011-05-04 00:00:16.187 2011-08-12 23:59:58.753

    I have taken the liberty to change the formula for SomeRandomFloat to deliver results on the closed interval {400,500}, which is what I was expecting. Date results end up being in the range of GETDATE() - 400 days and spans 100 days.

    Mind you, I'm not reporting a bug. I'd prefer to think of it as an unexplained feature. 🙂

    Let me know if I've misinterpreted something.


    My mantra: No loops! No CURSORs! No RBAR! Hoo-uh![/I]

    My thought question: Have you ever been told that your query runs too fast?

    My advice:
    INDEXing a poor-performing query is like putting sugar on cat food. Yeah, it probably tastes better but are you sure you want to eat it?
    The path of least resistance can be a slippery slope. Take care that fixing your fixes of fixes doesn't snowball and end up costing you more than fixing the root cause would have in the first place.

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    Learn to understand recursive CTEs by example.[/url]
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