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CHAPTER 19 IM PR OVING DA TA BAS E PERFORM ANC E: S QL QUE RY OPTIMIZA TION
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The previous code will disable the automatic SQL tuning tasks in all maintenance windows, since I didn t specify a value for the WINDOW_NAME parameter.
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By setting the TEST_EXECUTE parameter when you execute the SET_TUNING_TASK_PARAMETER procedure, you can run the SQL Tuning Advisor in test execute mode to save time.
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You can also configure all Automatic SQL Tuning parameters easily through the Database control (or the Grid Control). Go to the Automatic SQL Tuning Settings page, accessible by clicking the Configure button in the Automated Maintenance Tasks page. You can configure all automated tasks from the Automated Maintenance Tasks configuration page. Here s a simple example that shows how to get recommendations for fixing a SQL statement: 1. Click the finding with the highest impact on database time in the Database Home page. 2. Click Schedule SQL Tuning Advisor on the SQL Details page. 3. Click Submit on the Scheduler Advisor page. 4. Click Implement if you want to adopt the advisor s recommendations. 5. Click Yes on the Confirmation page, and the database creates a new SQL profile. 6. View the tuning benefits by going to the Performance page after the database executes the tuned statement again. Go to the Automated Maintenance Task page to view information about the latest executions of the Automatic SQL Tuning Advisor. Click the Server tab in the Database Control home page first. Click the Automated Maintenance Tasks link under the Tasks section in the Server page, and then click the most recent execution icon or the Automatic SQL Tuning task link to view the Automatic SQL Tuning Result Summary page.
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Interpreting Automatic SQL Tuning Reports
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You can get a report of the Automatic SQL Tuning Advisor tasks by executing the REPORT_AUTO_TUNING_TASK function, as shown here: SQL> begin 2 :test_report :=dbms_sqltune. report_auto_tuning_task ( 3 type => 'text', 4 level => 'typical', 5 section => 'all'); 6* end; SQL> / PL/SQL procedure successfully completed. SQL> print :test_report The report produced by the previous code contains information about all the statements analyzed by the advisor in its most recent execution and includes both the implemented and unimplemented advisor recommendations. The report also contains EXPLAIN PLANs before and after implementing the tuning recommendations.
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CHAPTER 19 IMPROV IN G DA TA BAS E PERFORMAN CE: SQL QUERY OPTIMIZA TION
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You can use the following views to get information about the Automatic SQL Tuning Advisor jobs: DBA_ADVISOR_EXECUTIONS: Shows metadata information for each task DBA_ADVISOR_SQLSTATS: Shows a list of all SQL compilation and execution statistics DBA_ADVISOR_SQLPLANS: Shows a list of all SQL execution plans The following code, for example, provides information about all Automatic SQL Tuning Advisor tasks: SQL> SELECT execution_name, status, execution_start, execution_end FROM dba_advisor_executions WHERE task_name='SYS_AUTO_SQL_TUNING_TASK';
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The EXPLAIN PLAN and SQL Trace utilities aren t the only tools you have available to tune SQL statements. Several GUI-based tools provide the same information much more quickly. Just make sure that statistics collection is turned on in the initialization file before you use these tools. One of the well-known third-party tools is the free version of TOAD software, which is marketed by Quest Software (http://www.quest.com). From this tool you get not only the execution plan, but also memory usage, parse calls, I/O usage, and a lot of other useful information, which will help you tune your queries. The use of GUI tools helps you avoid most of the drudgery involved in producing and reading EXPLAIN PLANs. Note that whether you use GUI tools or manual methods, the dynamic performance views that you use are the same. How you access them and use the data makes the difference in the kind of tool you use.
Using the Result Cache
You can improve the response times of frequently executed SQL queries by using the result cache. The result cache stores results of SQL queries and PL/SQL functions in a new component of the SGA called the Result Cache Memory. The first time a repeatable query executes, the database caches its results. On subsequent executions, the database simply fetches the results from the result cache instead of executing the query again. The database manages the result cache. You can turn result caching on only at the database level. If any of the objects that are part of a query are modified, the database invalidates the cached query results. Ideal candidates for result caching are queries that access many rows to return a few rows, as in many data warehousing solutions. The result cache consists of two components, the SQL Query Result Cache that stores SQL query results and the PL/SQL Function Result Cache that stores the values returned by PL/SQL functions, with both components sharing the same infrastructure. I discuss the two components of the result cache in the following sections.
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