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The ATO can make recommendations to modify the structure (both the syntax and semantics) of poorly performing SQL statements. The ATO considers issues such as the following: Design mistakes; for example, performing full table scans because you didn t create indexes. Using inefficient SQL; for example, the NOT IN construct, which is known to be much slower than the NOT EXISTS construct in general.

The ATO only identifies poorly written SQL, but it won t rewrite it for you. You will know your application better than the ATO, so Oracle only provides advice, which you can implement or not.

Here are some recommendations that the SQL Tuning Advisor will give you: Creating indexes will speed up access paths. Using SQL profiles will allow you to generate a better execution plan. Gathering optimizer statistics for objects that do not have any, or renewing stale statistics, will be of benefit. Rewriting SQL as advised will improve its performance.

Caution Use of instead of triggers on object views can get fairly complex, especially when enabling updates on the view. You may want to read this section with either a fresh mind or a fresh cup of coffee or both!

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A hospital visit might otherwise follow! To an observer from another world who is totally unfamiliar with house construction and the operation of electricity on the planet, the moving fan might appear as a perpetual motion machine After all, seemingly it goes on, and on, and on The observer might not be there long enough to view the action of turning the fan on and off Unaware of the energy that s being supplied to the fan via the invisible electric wiring, the otherworldly observer might sit in awe of a moving ceiling fan Sam flashed back to the quantum world They have the examples before them, visible to the senses even in their everyday life, he thought.

You can use the SQL Tuning Advisor through packages or through the web interface of the OEM Database Control.

The main SQL package for tuning SQL statements is DBMS_SQLTUNE. The first example will be creating and managing tasks that tune SQL statements.

You must have the ADVISOR privilege to use the DBMS_SQLTUNE package. Ensure that you do before running any of the following examples.

Let s begin this section by trying to run a simple update on the view as it is. In this update, we change the column component_name of the view. Notice, in particular, that none of the columns that belong to the child table are involved in this update. benchmark@ORA10G> update components_or_view 2 set component_name = component_name || 'modified'; 2 rows updated. So this update seems to work. Let s now try to run another update wherein we update a column of the child table parts in the following manner: benchmark@ORA10G> update table 2 ( 3 select parts 4 from components_or_view 5 where component_id = 1 6 ) 7 set part_desc = part_desc || ' or'; set part_desc = part_desc || ' or' * ERROR at line 7: ORA-25015: cannot perform DML on this nested table view column This operation fails with an exception. To make the preceding update work, we need to use an instead of trigger on the object view that enables updates on the columns in the child table parts as accessed from the object view. The following is the definition of the trigger that achieves this. Note that the trigger is on the nested table parts of the object view as signified by the phrase on nested table parts of components_or_view. This is because we want to enable updates on the attributes of the nested table in the view. Explanatory comments are interspersed within the code. benchmark@ORA10G> create or replace trigger parts_io_update 2 instead of update on nested table parts of components_or_view 3 begin

Here s how to tune SQL statements using the DBMS_SQLTUNE package: 1. Create a task: The CREATE_TUNING_TASK procedure creates a task to tune a single statement or several statements (a SQL tuning set or STS). You can also use a SQL statement (using the SQL identifier) from the AWR or from the cursor cache. In the following example, I show how to create a task using a single SQL statement as input. First, I pass the SQL statement as a CLOB argument, as shown here:

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