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Nonpartitioned table without an index on CustomerID Partitioned table without an index on CustomerID Nonpartitioned table with an index on CustomerID Partitioned table with an index on CustomerID
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85 pages 44 pages 20 pages 23 pages
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0.095 0.049 0.030 0.031
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Note that when no index is available, the query against the partitioned table performs best. But when an index is available, the query against the nonpartitioned table performs best. Why does the query against the nonpartitioned table with an index perform better than the query against the partitioned table with an index Because in the partitioned
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Techniques to Improve Query Performance
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table, the query performs a seek operation against two indexes (one for each partition), whereas the query against the nonpartitioned table performs a seek operation against only one index.
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Tuning Indexes Automatically
Besides tuning indexes manually, SQL Server provides other ways that help you choose the right indexing solution for a specific query. When viewing the graphical execution plan, you may see a note about a Missing Index. In this case, you can right-click the missing index note, which lets you retrieve the script needed to create the missing index. An aggregation of missing indexes that the optimizer has needed can be found in the sys.dm_db_missing_index_details, sys.dm_db_missing_index_groups, and sys.dm_db_missing_index_group_stats database management views (DMVs). You can also use the Database Engine Tuning Advisor graphical utility to retrieve information on indexes, indexed views, and even partitioning solutions that may help query performance. The Database Engine Tuning Advisor can either be run against a script containing queries that need tuning or against a SQL Server Profiler trace file containing a workload of queries that need tuning. Note that neither the graphical execution plan missing index help, the missing index DMVs, nor the Database Engine Tuning Advisor can replace manually tuning both the query itself and the indexes. Remember that these utilities are not going to know if you really need that last join to retrieve that extra column to enhance the look of that special executive report only you can make that decision.
Lesson Summary
Indexes typically help read performance but can hurt write performance. Indexed views can increase performance even more than indexes, but they are restrictive and typically cannot be created for the entire query. Deciding which columns to put in the index key and which should be implemented as included columns is important. Analyze which indexes are actually being used and drop the ones that aren t. This saves storage space and minimizes the resources used to maintain indexes for write operations.
Pr actice
indexing to Support Queries
In this practice, you use two different indexing techniques to optimize a specific query. The query returns the customer IDs and the total amount for all purchases in a specific territory for all customers who have made purchases. This practice considers read performance only; it does not take write performance into account.
Lesson 2: Creating Indexes
You are optimizing the following query:
-- Query that will be optimized: USE AdventureWorks;
SELECT soh.CustomerID ,SUM(sod.OrderQty * sod.UnitPrice) AS TotalPurchases FROM Test.SalesOrderHeader AS soh INNER JOIN Test.SalesOrderDetail AS sod ON sod.SalesOrderID = soh.SalesOrderID WHERE soh.TerritoryID = 1 GROUP BY soh.CustomerID;
e xercise 1
Set a Performance Base Line for the Query
In this exercise, you create the base line for the query that needs to be optimized by executing it without adding any indexes.
1. 2.
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.SalesOrderDetail FROM AdventureWorks.Sales.SalesOrderDetail; GO
ALTER TABLE Test.SalesOrderHeader ADD CONSTRAINT PKSalesOrderHeader PRIMARY KEY(SalesOrderID); GO
Techniques to Improve Query Performance
ALTER TABLE Test.SalesOrderDetail ADD CONSTRAINT PKSalesOrderDetail PRIMARY KEY(SalesOrderDetailID);
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 the following SQL statement to turn on the reporting of page reads:
SET STATISTICS IO ON;
In the existing query window, type, highlight, and execute the following SQL statement:
SELECT soh.CustomerID ,SUM(sod.OrderQty * sod.UnitPrice) AS TotalPurchases FROM Test.SalesOrderHeader AS soh INNER JOIN Test.SalesOrderDetail AS sod ON sod.SalesOrderID = soh.SalesOrderID WHERE soh.TerritoryID = 1 GROUP BY soh.CustomerID;
Record the total cost of the query. A table for this purpose is provided in Exercise 5. (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.) Record the total number of page reads for the query. (You can find this value by scrolling to the bottom of the Messages tab and summing the values for logical reads.)
In the existing query window, type, highlight, and execute the following SQL statement to clean up after this exercise:
USE master; DROP DATABASE TestDB;
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