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Lesson Summary
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Understanding how queries are logically constructed is important to knowing that they correctly return the intended result. Understanding how queries are logically constructed helps you understand what physical constructs (like indexes) help the query execute faster. Make sure you understand your metrics when you measure performance.
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Pr actice
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tuning Query Performance
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In this practice, you test the query performance of three different versions of one particular query that produces the same result set. The query that you use should return all customers in a specific territory, as well as the last order received for those customers. If a customer does not have any orders, it should still be returned.
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e xercise 1
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Test Using a Small Result Set
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In this exercise, you execute the three queries mentioned in the practice preface and record each query s cost. In this case, the parameter supplied to all three queries (TerritoryID) yields a small result set of 64 rows.
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Lesson 1: Tuning Queries
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1. 2.
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Open SSMS and connect to the appropriate instance of SQL Server 2008. In a new query window, type and execute the following SQL statements to create the TestDB database, the Test schema, and the two tables that are used in this exercise:
CREATE DATABASE TestDB; GO
USE TestDB; GO
CREATE SCHEMA Test; GO
SELECT * INTO Test.SalesOrderHeader FROM AdventureWorks.Sales.SalesOrderHeader; GO
SELECT * INTO Test.Customer FROM AdventureWorks.Sales.Customer; GO
ALTER TABLE Test.SalesOrderHeader ADD CONSTRAINT PKSalesOrderHeader PRIMARY KEY(SalesOrderID); GO
ALTER TABLE Test.Customer ADD CONSTRAINT PKCustomer PRIMARY KEY(CustomerID);
3. 4.
Turn on the Actual Execution Plan feature in SSMS by pressing Ctrl+M or by selecting Include Actual Execution Plan from the Query menu. In the existing query window, type, highlight, and execute Query 1, shown here, to test the performance of a query that uses two correlated subqueries. Because of the use of two separate correlated subqueries in this query, it is not guaranteed that both these subqueries return data from the same row in the Test.Customer table:
-- Query 1 SELECT c.CustomerID
Techniques to Improve Query Performance
,c.AccountNumber ,( SELECT TOP(1) soh.SalesOrderID FROM Test.SalesOrderHeader AS soh WHERE soh.CustomerID = c.CustomerID ORDER BY OrderDate DESC ) AS SalesOrderID ,( SELECT TOP(1) soh.OrderDate FROM Test.SalesOrderHeader AS soh WHERE soh.CustomerID = c.CustomerID ORDER BY OrderDate DESC ) AS OrderDate FROM Test.Customer AS c WHERE c.TerritoryID = 2;
Record the total query cost of Query 1. (You can find the value in the Execution Plan tab by moving the pointer over the SELECT operator and locating the value named Estimated Subtree Cost.)
In the existing query window, type, highlight, and execute Query 2, shown here, to test the performance of a query that uses an OUTER APPLY:
-- Query 2 SELECT c.CustomerID ,c.AccountNumber ,o.* FROM Test.Customer AS c OUTER APPLY ( SELECT TOP(1) soh.SalesOrderID, soh.OrderDate FROM Test.SalesOrderHeader AS soh WHERE soh.CustomerID = c.CustomerID ORDER BY OrderDate DESC ) AS o WHERE c.TerritoryID = 2;
Record the total cost of Query 2.
In the existing query window, type, highlight, and execute Query 3, shown here, to test the performance of a query that uses ROW_NUMBER:
-- Query 3 WITH a AS ( SELECT c.CustomerID
Lesson 1: Tuning Queries
,c.AccountNumber ,c.TerritoryID ,soh.SalesOrderID ,soh.OrderDate ,ROW_NUMBER() OVER (PARTITION BY c.CustomerID ORDER BY soh.OrderDate DESC) AS RowNo FROM Test.Customer AS c LEFT OUTER JOIN Test.SalesOrderHeader AS soh ON soh.CustomerID = c.CustomerID ) SELECT a.CustomerID ,a.AccountNumber ,a.SalesOrderID ,a.OrderDate FROM a WHERE a.RowNo = 1 AND a.TerritoryID = 2;
Record the total cost of Query 3.
e xercise 2
Test Using a Large Result Set
In this exercise, you execute the three queries mentioned in the practice preface and record each query s cost. In this case, the parameter supplied to all three queries (TerritoryID, shown below in bold type) yields a larger result set of 3,433 rows (compared to 64 rows in Exercise 1).
1. 2.
Open SSMS, if necessary, and connect to the appropriate instance of SQL Server 2008. In a new query window, type and execute the following SQL statement to connect to the TestDB database created in Exercise 1:
USE TestDB;
3. 4.
Turn on the Actual Execution Plan feature in SSMS by pressing Ctrl+M or by selecting Include Actual Execution Plan from the Query menu. In the existing query window, type, highlight, and execute Query 1, shown here, to test the performance of a query using two correlated subqueries and a large result set. Again, because of the use of two separate correlated subqueries in this query, it is not guaranteed that both these subqueries return data from the same row in the Test.Customer table:
-- Query 1 SELECT c.CustomerID ,c.AccountNumber ,( SELECT TOP(1) soh.SalesOrderID FROM Test.SalesOrderHeader AS soh
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