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Using the SQL Tuning Advisor on SQL Statements
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It is usual for the Advisor to take SQL statements from places such as these: New SQL statements. When working with a development database, this may be your best source of SQL statements. High-load SQL statements. SQL statements from the AWR. SQL statements from the database cursor cache. The Advisor can tune sets of SQL statements called SQL Tuning Sets (STSs). An STS is a set of SQL statements combined with execution information, which includes the average elapsed time. An STS has the advantage of capturing the information about a database s workload as well as allowing you to tune several large SQL statements at once.
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How the SQL Tuning Advisor Works
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As mentioned previously, the Optimizer will try to find the optimal execution plan for each statement you provide. However, this process happens under production conditions, so the Optimizer can only devote a short amount of time to working out a solution. The Optimizer uses heuristics to generate an estimate of the best solution. This is called the normal mode of the Optimizer.
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CHAPTER 21 IMPROVING DATABASE PERFORMANCE: SQL QUERY OPTIMIZATION
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You can also run the Optimizer in tuning mode, which means that the Optimizer carries out indepth analysis to come up with ways to optimize execution plans. While in this mode, the Optimizer can take several minutes and produces recommendations instead of the best SQL execution plan. You, in turn, use these recommendations to optimize the SQL statements execution plans. You get the added advantage of advice that details the rationale behind the recommendations and what you will gain from implementing them. The Oracle Optimizer running in tuning mode is called the Automatic Tuning Optimizer (ATO). The ATO does the following tasks: Statistics analysis SQL profiling Access path analysis SQL structure analysis I describe each of these tasks in the following sections, along with the types of recommendations that the SQL Tuning Advisor makes.
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Statistics Analysis
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The ATO makes sure that there are representative, up-to-date statistics for all the objects in the SQL statement, which you need for efficient execution plans. If the ATO finds any statistics that are missing or stale, it suggests that you collect new statistics for the objects in question. During this process, the ATO collects other information that it can use to fill in any missing statistics. It can also correct stale statistics.
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SQL Profiling
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At this stage the ATO tries to verify the validity of its estimates of factors such as column selectivity and cardinality of database objects. It can use three methods to verify its estimates: Dynamic data sampling: The ATO can use a data sample to check its estimates. The ATO can apply correction factors if the data-sampling process shows its estimates to be significantly wrong. Partial execution: The ATO can carry out the partial execution of a SQL statement. This process allows it to check whether its estimates are close to what really happens. It does not check whether its estimates are correct, but rather it checks whether a plan derived from those statistics is the best possible plan. Past execution history statistics: The ATO can use the SQL statement s execution history to help with its work. If there s enough information from statistics analysis or SQL profiling, the ATO suggests you create a SQL profile, which is supplementary information about a SQL statement. If you accept this advice and are running the Optimizer in tuning mode, Oracle will store the SQL profile in the data dictionary. Once you have done this, the Optimizer uses it to produce optimal execution plans, even when it is running in normal mode.
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Tip
Remember that a SQL profile is not the same thing as a stored execution plan.
CHAPTER 21 IMPROVING DATABASE PERFORMANCE: SQL QUERY OPTIMIZATION
The SQL profile will continue to apply if you make small changes to your database and allow your objects to grow normally. One of the big advantages of SQL profiles is the ability to tune packaged applications. These are hard to tune because you can t easily access and modify the code. Because SQL profiles are saved in the data dictionary, you can use them to tune packaged applications.
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