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After you create a new task, the next step is to set the parameters for this task. The task parameters control the recommendation process. The parameters that you can modify belong to four groups: workload filtering, task configuration, schema attributes, and recommendation options. Here is an example showing how you can set various task parameters using the SET_TASK_ PARAMETER procedure: SQL> EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( 'TEST_TASK', 'VALID_TABLE_LIST', 'SH.SALES, SH.CUSTOMERS'); In this example, the VALID_TABLE_LIST parameter belongs to the workload-filtering group of parameters. You are instructing the advisor (the SQL Access Advisor) to exclude all tables from the analysis except the sales and customers tables from the SH schema. The following example uses the STORAGE_CHANGE parameter from the recommendation-options group to add 100MB of space to the recommendations. SQL> EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER('TEST_TASK', 'STORAGE_CHANGE', 100000000);

To generate a set of recommendations by any advisor, you execute the task that you created earlier, using the EXECUTE_TASK procedure of the DBMS_ADVISOR package. The EXECUTE_TASK procedure will generate recommendations, which consist of one or more actions. For example, executing the SQL Access Advisor may provide a recommendation to create a materialized view and a materialized view log. Here s how you execute a task named TEST_TASK: SQL> EXECUTE DBMS_ADVISOR.EXECUTE_TASK('TEST_TASK');

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Figure 1-5. Normalized data with month names in one column Normalization is a process of organizing data to remove redundant elements, such as multiple columns for similar data. For information on normalization, you can read the Microsoft Knowledge Base article Description of the Database Normalization Basics at http://support.microsoft.com/kb/283878. Although the article refers to Microsoft Access, it is relevant when organizing your data for use in a pivot table. The same principles apply, because you want the ability to summarize your data by specific fields, or to sort and filter the items in a pivot table, just as you would in an Access database. The following technique automates the normalization process for you. It creates a pivot table from the existing list, and combines all the Month columns into one field. Then, the Show Details feature is used to extract the source data in its one-column format. The original data is not affected. Adding the PivotTable and PivotChart Wizard To use this technique, you need the PivotTable and PivotChart Wizard, which was used to create pivot tables in Excel 2003 and earlier versions. This is not on the Ribbon, but you can add it to the Quick Access Toolbar (QAT).

You can view the recommendations made by a certain task by using the GET_TASK_REPORT procedure. You can also use the DBA_ADVISOR_RECOMMENDATIONS view to check the recommendations related to a particular advisor task name: SQL> SELECT rec_id, rank, benefit FROM DBA_ADVISOR_RECOMMENDATIONS WHERE task_name = 'TEST_TASK'; REC_ID RANK BENEFIT ---------- ---------- -----------1 2 2754 2 3 1222 3 1 5499 4 4 594 In this example, the RANK column shows how the four recommendations stack up against each other. The BENEFIT column shows the decrease in the execution cost for each of the four recommendations.

don t fall into the trap of adding too much functionality to an existing type via this route. Instead, it s often simpler to use additional modules and types. For example, the module Microsoft.FSharp.Collections.List contains extra functionality associated with the F# list type.

The best way to use the management advisors is through the OEM Database Control. All you need to do is click the Advisor Central link on the Database Control home page. From the Advisor Central page, shown in Figure 18-6, you can select any of the management advisors in the database.

The Advisor Central page is your starting point to using the advisory framework through the OEM Database Control or Grid Control. You use the Advisor Tasks sections to review the results of running an advisor task. The Results table on the main Advisor Central page shows the output of the last run of the advisor. After creating a new database, the first time you check this page you ll see a single ADDM task result. This is because the ADDM runs automatically after you create the database. As you invoke the other advisors, the Results table will gather other results.

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