4-Gonal configurations with parameters r=q2+1 and k=q+1 - download pdf or read online

By Thas J.A.

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Solution(s): If possible, re-write your SQL Code so that comparisons are only done with “pure” columns. g. instead of specifying where sqrt(c1) = 100 You would do better to write: where c1 = 10000 Fortunately the optimizer is quite smart when evaluating expressions and in some cases will do the rewrite internally (again see here for some more information about this). If re-writing your query is not possible, I suggest you ask a colleague for assistance. If it’s still not feasible, you may take calculated columns into account.

Even worse, there’s a chance that the query becomes totally invalid, in case the index has been deleted or renamed. There are superior solutions, which are presented in the next paragraphs. 2) Using filtered indexes As of SQL Server 2008, we have the opportunity of working with filtered indexes. That’s quite perfect for our query. Since we only have 4 distinct values for the CarType column, we may create four different indexes, one for every car type. A special index for CarType=’Luxory’ will look as follows: create nonclustered index Ix_RentalCar_LuxoryCar_DailyRate on RentalCar(DailyRate) where CarType='Luxory' For the remaining three values of CarType we’d create identical indexes with adjusted filter conditions.

Solution: Apparently it would be helpful to increase the histogram size, but we can’t do that can we? No, there’s no way of enlarging the size of a histogram to contain more than 200 entries. But if we can’t include more rows into one histogram, how about simply using more than one histogram? Of course we can achieve that by introducing filtered statistics. Since the histogram is always tied to a single statistics, we can have multiple histograms for the same column when using filtered statistics.

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4-Gonal configurations with parameters r=q2+1 and k=q+1 by Thas J.A.


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