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Rank and Dense Rank
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Rank and dense rank are calculations similar to row number. But unlike row number, which has a large variety of practical applications, rank and dense rank are typically used for ranking and scoring applications.
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Subqueries, Table Expressions, and Ranking Functions
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RANK and DENSE_RANK Functions
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SQL Server provides you with built-in RANK and DENSE_RANK functions that are similar to the ROW_NUMBER function. The difference between these functions and ROW_NUMBER is that, as I described earlier, ROW_NUMBER is not deterministic when the ORDER BY list is not unique. RANK and DENSE_RANK are always deterministic that is, the same ranking values are assigned to rows with the same sort values. The difference between RANK and DENSE_RANK is that RANK might have gaps in the ranking values but allows you to know how many rows have lower sort values. DENSE_RANK values have no gaps. For example, the following query returns both rank and dense rank values for the sales rows based on an ordering by quantity:
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SELECT empid, qty, RANK() OVER(ORDER BY qty) AS rnk, DENSE_RANK() OVER(ORDER BY qty) AS drnk FROM dbo.Sales ORDER BY qty;
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This query generates the following output:
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empid ---------B G J H C D K E I A F qty ----------100 100 100 150 200 200 200 250 250 300 300 rnk -------------------1 1 1 4 5 5 5 8 8 10 10 drnk -------------------1 1 1 2 3 3 3 4 4 5 5
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Here s a short quiz: what s the difference between the results of ROW_NUMBER, RANK, and DENSE_RANK given a unique ORDER BY list For the answer, run the following code:
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SELECT REVERSE('!ecnereffid oN');
Solutions Based on Subqueries
Subquery-based solutions to rank and dense rank calculations are very similar to subquery-based solutions to row number calculations. To calculate rank, use a subquery that counts the number of rows with a smaller sort value and add one. To calculate dense rank, use a subquery that counts the distinct number of smaller sort values and add one:
SELECT empid, qty, (SELECT COUNT(*) FROM dbo.Sales AS S2 WHERE S2.qty < S1.qty) + 1 AS rnk,
Inside Microsoft SQL Server 2008: T-SQL Querying
(SELECT COUNT(DISTINCT qty) FROM dbo.Sales AS S2 WHERE S2.qty < S1.qty) + 1 AS drnk FROM dbo.Sales AS S1 ORDER BY qty;
Of course, you can add a correlation to return partitioned calculations just like you did with row numbers.
Tile Number
With tile numbers you can distribute rows into a speci ed number of tiles (or groups). The tiles are numbered 1 and on. Each row is assigned with the tile number to which it belongs. Tile number is based on row number calculation namely, it is based on a requested order and can optionally be partitioned. Based on the number of rows in the table (or partition), the number of requested tiles, and the row number, you can determine the tile number for each row. For example, given a table with 10 rows, supposed you request to calculate tile numbers for the rows, arranging the rows in two tiles, based on the order of column c. The value of the tile number would be 1 for the rst 5 rows in column c order and 2 for the 6th through 10th rows. Typically, tile number calculations are used for analytical purposes that require you to arrange items in equally sized groups. Don t confuse tiling with paging. With paging, the page size is known, and the number of pages is the result of dividing the number of rows in the set by the page size. With tiling, the number of tiles is known, and the tile size is the result of dividing the number of rows in the set by the requested number of tiles. The task of tiling has more than one solution, and the SQL Server built-in NTILE function implements a speci c solution. I will describe the built-in NTILE function and then cover other solutions.
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