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You may also use the DBMS_SQLTUNE.ALTER_SQL_PROFILE procedure to alter the SQL tuning category.
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Using the OEM to Run the SQL Tuning Advisor
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To use the OEM to run the Advisor, click Related Links Advisor Central SQL Tuning Advisor. This is the SQL Tuning Advisor page. Here you can specify the SQL statements that the SQL Advisor will analyze, which can be one of two kinds: Top SQL: These SQL statements could be top SQL from the cursor cache or saved high-load SQL statements that have come from the AWR. SQL Tuning Sets: You can create an STS from any set of SQL statements. Choosing one of the four links on the SQL Tuning Advisor page will take you to your selected data source. You can now launch the SQL Tuning Advisor if you wish.
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The Automatic SQL Tuning Advisor
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I explained the Automatic Tuning Optimizer earlier in this chapter. This is what Oracle calls the optimizer when it runs in tuning mode. The Automatic Tuning Optimizer performs the following types of analysis for high-load SQL statements, with a goal of isolating poorly written SQL statements and making recommendations to improve them: statistics analysis, SQL profiling, access path analysis, and SQL structure analysis. When you execute a SQL Tuning Advisor session, it invokes the Automatic Tuning Optimizer to tune the SQL statements. The SQL Tuning Advisor provides recommendations, but can t implement them for you.
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CHAPTER 19 IMPROV IN G DA TA BAS E PERFORMAN CE: SQL QUERY OPTIMIZA TION
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The Automatic Tuning Optimizer also runs regularly as an automated maintenance task called the (Automatic) SQL Tuning Advisor task. The advisor can identify poorly running SQL statements by picking them from the AWR, make recommendations to improve them, and also implement any recommendations that invoke the use of SQL profiles. The SQL Tuning Advisor task conducts statistics analysis, SQL profiling, access path analysis, and SQL structure analysis. The Automatic SQL Tuning process consists of the identification of candidates for tuning, tuning the statements and making recommendations, testing the recommendations, and automatic implementation of the SQL profile recommendations. I describe each of the steps in the following sections.
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Identifying SQL Tuning Candidates
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The Automatic SQL Tuning Advisor uses the AWR Top SQL identification process for selecting candidates for automatic tuning. The database takes into account the CPU time and I/O time utilized by SQL statements to select these candidates. The goal is to select statements that offer a large potential for improvement. The advisor prepares a list of candidate statements by organizing the top SQL queries in the past week into the following buckets : Top for the week Top for any day in the week Top for any hour during the week Highest average single execution By assigning weights to each of the buckets, the SQL Tuning Advisor combines the four buckets into a single group of statements and ranks the statements according to their impact on performance. Subsequently, during the maintenance window, the advisor automatically tunes each of the candidate SQL statements selected by it. A SQL profile consists of addition statistics beyond those collected by the optimizer, to help evolve better execution plans. The additional information gathered via SQL profiles may include customized optimizer settings, adjustments to compensate for missing or stale statistics, and adjustments for estimation errors in optimization statistics. Since you don t need to change the SQL query when you implement a SQL profile, they are ideal for use in packaged applications. Implementation of a SQL profile would normally lead to the generation of more efficient execution plans for SQL statements.
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Tuning and Making Recommendations
The SQL Tuning Advisor tunes statements in the order of their performance impact. If the advisor finds stale or missing statistics, it lets the GATHER_STATS_JOB know about this fact, so it can collect statistics for it when the database collects statistics the next time. The advisor makes different types of recommendations to improve the poorly performing SQL statements, including the creation of indexes, refreshing of the optimizer statistics, restructuring SQL statements, and creation of SQL profiles. The advisor can automatically implement only the SQL profile creation recommendations. The advisor creates and tests the SQL profiles it recommends before implementing them. You can decide whether to retain the new SQL profiles that are automatically implemented by the advisor or not, based on an analysis of the SQL Tuning Advisor report.
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