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Suppose you wanted to query the Sales.OrderValues view in the InsideTSQL2008 sample database (see the book s introduction for details on the sample database) and return the total value of orders handled by each employee for each order year. You want the output to have a row for each employee, a column for each order year, and the total value in the intersection of each employee and year. The following PIVOT query allows you to achieve this:



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USE InsideTSQL2008; SELECT * FROM (SELECT empid, YEAR(orderdate) AS orderyear, val FROM Sales.OrderValues) AS OV PIVOT(SUM(val) FOR orderyear IN([2006],[2007],[2008])) AS P;





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This query generates the following output:

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Don t get distracted by the subquery that generates the derived table OV. As far as you re concerned, the PIVOT operator gets a table expression called OV as its left input, with a row for each order, with the employee ID (empid), order year (orderyear), and order value (val). The PIVOT operator involves the following three logical phases: 1. P1: Grouping 2. P2: Spreading 3. P3: Aggregating The rst phase (P1) is tricky. You can see in the query that the PIVOT operator refers to two of the columns from OV as input arguments (val and orderyear). The rst phase implicitly groups the rows from OV based on all columns that weren t mentioned in PIVOT s inputs, as though a hidden GROUP BY were there. In our case, only the empid column wasn t mentioned anywhere in PIVOT s input arguments. So you get a group for each employee. Note PIVOT s implicit grouping phase doesn t affect any explicit GROUP BY clause in a query.

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The PIVOT operation will yield a virtual result table for input to the next logical phase, be it another table operation or the WHERE phase. And as I described earlier in the chapter, a GROUP BY phase might follow the WHERE phase. So when both PIVOT and GROUP BY appear in a query, you get two separate grouping phases one as the rst phase of PIVOT (P1) and a later one as the query s GROUP BY phase.

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