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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. 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.

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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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.

In this section, we ll explore the various instead of triggers required to perform inserts, updates, and deletes. Our approach is to perform a particular DML on the object view without the trigger and note its failure. Then we ll define a trigger that will make the DML succeed. The code presented in this section is adapted largely from the code in the section The O-R View of 20 of the book Expert One-on-One Oracle (Apress, ISBN: 1-59059-243-3) written by Tom Kyte. We begin with defining instead of triggers that enable updates on the object view.

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.

The ATO analyzes how using an improved access method, such as working with an index, will affect queries. These are important considerations, because adding an index can substantially increase the speed of a query. However, adding new indexes can adversely affect other SQL statements; the SQL Advisor knows this and makes its recommendations as follows: If an index is effective, it will advise you to create it. It can advise you to run the SQL Access Advisor (see 7 for details) to analyze the wisdom of adding the new index.

As mentioned earlier, our approach is to demonstrate the need for a trigger by first running an operation that fails, and then writing a trigger to make the operation succeed.

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