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SQL Query Analyzer is a powerful new tool included with SQL Server 7. On a basic level, it provides a Transact-SQL command environment for executing SQL queries. However, it goes much further by color-coding queries and allowing users to display results in a grid format. For measuring the performance of specific queries, it can show the exact statistics for fulfilling a request. Finally, it can analyze queries and make recommendations as to which columns to place indexes in. Follow these steps to create and test a new query: 1. Open SQL Query Analyzer either from the Microsoft SQL Server 7 program group or by selecting Tools | Query Analyzer in Enterprise Manager.
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2. If prompted, log on to a SQL Server database. 3. Type a standard SQL query in the main window. In general, the more complex the query, the more useful information you ll receive in the next step. 4. Select Query | Display Estimated Execution Plan to execute the query and record statistics. You might have to maximize the query window to see all the information. The following query, run against the Northwind sample database, will present information similar to that shown in Figure 4-18. (More information on SQL syntax is available in SQL Server Books Online.)
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SELECT productname, SUM(od.unitprice * quantity) AS total FROM [order details] od inner join products p ON od.productid = p.productid GROUP BY productname
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5. Hover the mouse over a specific step or arrow in the execution plan for the SQL Query. A window will pop up providing detailed information about the steps required to complete the query.
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Figure 4-18.
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A SQL execution plan shown by Query Analyzer
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6. Optionally, select Query | Perform Index Analysis to rerun the same query and to make recommendations on index implementation. This option works only for certain types of queries that can be analyzed by SQL Query Analyzer.
Using Query Governor
It is often useful to be able to limit the resources used by a single query or transaction in SQL Server. For example, executing a query that asks for the sum of all values in a 3GB table would be quite costly to perform. Other users would suffer from slow response times, and the database server itself might be significantly slowed. In many cases, such a transaction might be executed by mistake. If the transaction must be carried out, it is a good idea to schedule it to occur at a later time. SQL Server 7 includes a server configuration parameter that can allow an administrator to limit the resources that can be used by a single operation. This option, the query governor cost limit, sets the longest time (in seconds) that a query may run. To set these options for all databases on a server, you can use the sp_configure stored procedure, as follows:
USE master EXEC sp_configure 'query governor cost limit', '1' RECONFIGURE EXEC sp_configure
Before this setting will take effect, you need to stop and restart SQL Server. Finally, the query governor cost limit can be set on a per-transaction basis by using the following statement as part of a transaction:
SET QUERY_GOVERNOR_COST_LIMIT
A value of 0 will set no limit on the maximum query execution time. Any values greater than 0 will specify the number of seconds that a query may run. Note that the same query might take differing amounts of time to complete, based on server hardware configurations.
Using Stored Procedures
We discussed stored procedures at the beginning of this chapter. As promised, here s a discussion of how they can be used to optimize performance. SQL Server stored procedures use cached optimization plans to greatly speed the processing of queries. Stored procedures are precompiled collections of SQL statements that remain cached in memory and execute up to 20 times faster than the same statement run manually. They also have the following advantages: w s Reduced network traffic Instead of sending large queries with hundreds of lines, a single command can be executed on the server. Modular and flexible code Stored procedures can call each other, and common procedures can be written only once and shared throughout a database.
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