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Assigning NTILE Numbers to Rows
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Recall that the NTILE function divides a group of rows into a set number of groups. You specify the number of groups as an argument when you invoke the function. In the ORDER BY phrase of the OVER clause for the function, you can specify which column values to order rows with before dividing
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CHAPTER 6 QUERYING MULTIPLE DATABASE OBJECTS AND MANIPULATING RESULT SETS
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them into percentile groups. If the number of rows is not evenly divisible by the number of groups that you specify, then the NTILE function increases the size of each group by one until the group before the last group. The following listing shows a SELECT statement that illustrates the syntax for invoking the NTILE function as well as a result set generated by the statement. Notice that the statement passes a value of 5 to the NTILE function, which tells it to generate 5 groups. When the SELECT statement runs, it sorts the rows by their SalesYTD column values and attempts to divide the rows evenly across the five groups. The NTILE column values show the outcome of the attempt. Because there are 17 rows but 5 groups, the NTILE function can assign at least 5 rows to all 5 groups. However, this leaves two extra rows. Recall that the general rule is to assign one of the remainder rows to each of the groups up to the next to the last group. As a consequence, groups one and two each have four rows, and the other three groups have just three rows. SELECT FirstName + ' ' + LastName 'Name', SalesYTD, SalesQuota, TerritoryGroup, NTILE(5) OVER(ORDER BY SalesYTD DESC) AS 'NTILE' FROM Sales.vSalesPerson Name -----------------------Linda Mitchell Jae Pak Michael Blythe Jillian Carson Ranjit Varkey Chudukatil David Campbell Jos Saraiva Shu Ito Tsvi Reiter Rachel Valdez Tete Mensa-Annan Garrett Vargas Lynn Tsoflias Stephen Jiang Amy Alberts Syed Abbas Pamela Ansman-Wolfe SalesYTD -----------5200475.2313 5015682.3752 4557045.0459 3857163.6332 3827950.238 3587378.4257 3189356.2465 3018725.4858 2811012.7151 2241204.0424 1931620.1835 1764938.9859 1758385.926 677558.4653 636440.251 219088.8836 0.00 SalesQuota ---------250000.00 250000.00 300000.00 250000.00 250000.00 250000.00 250000.00 250000.00 300000.00 250000.00 300000.00 250000.00 250000.00 NULL NULL NULL 250000.00 TerritoryGroup -------------North America Europe North America North America Europe North America North America North America North America Europe North America North America Pacific NULL NULL NULL North America NTILE ----1 1 1 1 2 2 2 2 3 3 3 4 4 4 5 5 5
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After you initially compose a result set, you can reuse the result set to derive additional value for your applications. You can reuse a result set by manipulating it in any of a variety of ways. This section demonstrates four techniques for manipulating result sets to derive additional value from them (shown next). Save the result in a table for easy reference later. This technique lets you reuse the result set values without rerunning the query that generated the result set values. Append one result set to the end of another result set. This capability allows you to combine a subset of the columns from two or more different result sets.
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CHAPTER 6 QUERYING MULTIPLE DATABASE OBJECTS AND MANIPULATING RESULT SETS
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Temporarily keep one SELECT statement in scope and refer back to it from a second SELECT statement (or INSERT, UPDATE, DELETE statement as well). This technique can simplify query statements. With the PIVOT operator, designate column values to generate result sets with cross-tabulated values. This approach is useful for analyzing the values in a result set. With the UNPIVOT operator, you can restore the layout of relational data from cross-tabulated data.
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Saving a Result Set with the INTO Clause
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Using the INTO clause from within a SELECT statement makes it phenomenally easy to save a result set to storage. It takes a single argument, which is the name of a new table. The new table stores the result set generated by the list and clauses in a SELECT statement. You can position the INTO clause after the SELECT list and before the FROM clause. A SELECT statement with an INTO clause is commonly called a SELECT INTO statement. The following guidelines apply to the creation of a new table with a SELECT INTO statement: The new table resides in the current database context unless you explicitly specify otherwise with a three- or four-part name for the new table. Therefore, you can reference a data source within another database context using a three-part name in the FROM clause of a SELECT INTO statement to make a copy of the data source in the current database context. If the original data source or SELECT list has calculated column values, the SELECT INTO statement saves the values for the calculations not the calculation expressions. If a table with the name for the new table already exists in the current database, then the SELECT INTO statement does not copy over the existing table. The sample code for this section resides in SELECTINTOSamples.sql.
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