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Table 4-18. Content of Sales Table
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empid mgrid qty A B C D E F G H I J K Z X X Y Z Z X Y X Z Y 300 100 200 200 250 300 100 150 250 100 200
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The SQL Server 2005 ranking functions can appear only in the SELECT and ORDER BY clauses of a query. The general form of a ranking function is as follows: ranking_function OVER([PARTITION BY col_list] ORDER BY col_list)
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The optional PARTITION BY clause allows you to request that the ranking values will be calculated for each partition (or group) of rows separately. For example, if you specify mgrid in the PARTITION BY clause, the ranking values will be calculated independently for each manager's rows. In the ORDER BY clause, you specify the column list that determines the order of assignment of the ranking values. The optimal index for ranking calculations (regardless of the method you use) is one created on partitioning_columns, sort_columns, covered_cols. I created optimal indexes on the Sales table for several ranking calculation requests.
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Row Number
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Row numbers are sequential integers assigned to rows of a query's result set based on a specified ordering. In the following sections, I'll describe the tools and techniques to calculate row numbers in both SQL Server 2005 and in earlier versions.
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The ROW_NUMBER Function in SQL Server 2005
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The ROW_NUMBER function assigns sequential integers to rows of a query's result set based on a specified order, optionally within partitions. For example, the following query (which produces the output shown in Table 4-19) returns employee sales rows and assigns row numbers in order of qty: SELECT empid, qty, ROW_NUMBER() OVER(ORDER BY qty) AS rownum FROM dbo.Sales ORDER BY qty;
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Table 4-19. Row Numbers in Order of qty
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empid qty rownum B G J H K C D E I F A 100 1 100 2 100 3 150 4 200 5 200 6 200 7 250 8 250 9 300 10 300 11
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To understand the efficiency of the ranking functions in SQL Server 2005, examine the execution plan shown in Figure 4-5, which was generated for this query.
Figure 4-5. Execution plan for ROW_NUMBER
[View full size image]
To calculate ranking values, the optimizer needs the data to be sorted first on the partitioning column or columns and then on the sort column or columns. If you have an index that already maintains the data in the required order, the leaf level of the index is simply scanned in an ordered fashion (as in our case). Otherwise, the data will be scanned and then sorted with a sort operator. The Sequence Project operator is the operator in charge of calculating the ranking values. For each input row, it needs two "flags":
1. Is the row the first in the partition If it is, the Sequence Project operator will reset the ranking value. 2. Is the sorting value in this row different than in the previous one If it is, the Sequence Project operator will increment the ranking value as dictated by the specific ranking function. For all ranking functions, a Segment operator will produce the first flag value. The Segment operator basically determines grouping boundaries. It keeps one row in memory and compares it with the next. If they are different, it emits one value. If they are the same, it emits a different value. To generate the first flag, which indicates whether the row is the first in the partition, the Segment operator compares the PARTITON BY column values of the current and previous rows. Obviously, it emits "true" for the first row read. From the second row on, its output depends on whether the PARTITION BY column value changed. In our example, I didn't specify a PARTITION BY clause, so the whole table is treated as one partition. In this case, Segment will emit "true" for the first row and "false" for all others. As for the second flag (which answers, "Is the value different than the previous value "), the operator that will calculate it depends on which ranking function you requested. For ROW_NUMBER, the ranking value must be incremented for each row regardless of whether the sort value changes. So in our case, a plain Compute Scalar operator simply emits "true" (1) all the time. In other cases (for example, with the RANK and DENSE_RANK functions), another Segment operator will be used to tell the Sequence Project operator whether the sort value changed in order to determine whether to increment the ranking value or not. The brilliance of this plan and the techniques the optimizer uses to calculate ranking values might not be apparent yet. For now, it suffices to say that the data is scanned only once, and if it's not already sorted within an index, it is also sorted. This is much faster than any technique that was available to calculate ranking values in SQL Server 2000, as I will demonstrate in detail shortly.
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