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You’ll see it in the execution plans of many queries with some window functions, but not all. To see the plan, run Listing 4-1. Figure 4-1. info Chapter 4 ■ Tuning for Better Performance Listing 4-1. SalesOrderHeader; Another operator you will see with window function queries is the Segment operator, also shown in Figure 4-1 to the right of the Sequence Project operator. The Segment operator divides the input into segments. If there is no PARTITION BY expression, then the segment will be the entire result set.
This means that adding CustomerID as the operand of the function or as a PARTITION BY is fine because CustomerID is part of the GROUP BY. To use TotalDue in any role of the window aggregate expression, it must be aggregated first. Listing 3-4 shows the correct solution. Listing 3-4. SalesOrderHeader GROUP BY CustomerID; The syntax may look unusual, but the window function must be applied to the sum of TotalDue, not just TotalDue. Figure 3-4 shows the partial results and proves that this works. info Chapter 3 ■ Summarizing with Window Aggregates Figure 3-4.
Query 1 adds a row number to the data. If you look at the results of this query, you will see a pattern beginning to emerge. The difference between the numbers of the first island and the row number is 100. The second island, just the number 106, has a difference of 101 from the row number. Query 2 adds an expression that subtracts the row number from the value to take advantage of this pattern. info Chapter 2 ■ Discovering Ranking Functions Figure 2-10. The islands If you look a bit further, you will see a problem.