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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.

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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On the other hand, if we are updating the column parts, then the logic is slightly more complex. Our first step is to remove all records from parts such that they were in the old set but are not there in the new set of records: 16 17 18 19 20 21 22 23 24 25 delete from parts_rel where part_id in ( select part_id from TABLE( cast( :old.parts as part_type_tab ) ) minus select part_id from TABLE( cast( :new.parts as part_type_tab ) ) );

For any SQL profile recommendation it makes, the SQL Tuning Advisor runs the statement with and without the profile and compares the performance. The advisor will recommend adopting a profile only if implementing the profile leads to at least a threefold increase in improvement in performance, as shown by a reduction in the sum of the CPU and I/O usage.

The setting of the ACCEPT_SQL_PROFILES attribute of the SET_TUNING_TASK_PARAMETERS view determines whether the database automatically accepts the SQL profile recommendations made by the Automatic SQL Tuning Advisor. The DBA_SQL_PROFILES view shows all the automatically implemented SQL profiles. If a SQL profile was automatically implemented, it ll have a value of AUTO in the TYPE column.

You can t tune the following types of statements with the Automatic SQL Tuning Advisor: Parallel queries Ad hoc queries Recursive statements SQL statements that use the INSERT and DELETE statements SQL statements that use DDL statements such as CREATE TABLE AS SELECT If a query takes a long time to execute after implementing a SQL profile, the advisor will reject the implementation of the SQL profile, since it can t test-execute the query. Note that with the exception of ad hoc statements, you can manually tune all the preceding types of statements with a manual invocation of the SQL Tuning Advisor.

The next step is to update those records in parts_rel such that their part_id exists in both the old and new set of records, and they have undergone a change in the remaining columns. To do this, we need to use the table and cast syntax, both of which were briefly explained in earlier sections.

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