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For each problem identified by the ADDM, its performance findings are displayed in the form of three columns: the Impact column, the Finding column, and the Recommendations column. The Impact column lists the performance problems in the order of their impact on their system. The Impact column is thus very important, because you can start working on fixing the most serious problem that is currently affecting database performance. Even if your guess is that SQL parsing issues are the most pressing issues right now, if the Impact column ranks I/O problems as number one, you should take care of the I/O problems first. The Finding column lists a brief description of the problem, and one or more recommendations are presented in the Recommendations column. For example, the SQL statements consuming significant database time were found finding has an impact of 48.33 percent on DB time, and SQL tuning is the recommended action. In addition to the impact, problem, and recommendations information, the detailed report includes a listing of the symptoms that led to each particular finding. For some problems, the ADDM report also includes a Rationale section that explains the reasoning behind its recommendations. You can drill down the findings to get the rationale and the detailed recommendations. For example, Figure 17-3 shows the rationale behind a certain recommendation.

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In the previous section, I showed how to use the Database Control to view existing ADDM reports. As explained earlier, ADDM automatically runs by default every hour, immediately after the hourly (default value) AWR snapshot completes. However, you can also manually run the ADDM to produce an ad hoc report if you see a spike in instance activity or you notice excessive waits in the database. Here are the steps to do this: 1. From the Database Control home page, click the Advisor Central link. 2. Click the ADDM link. 3. You will now be in the Run ADDM page, shown in Figure 17-4. You can make one the following choices and then click OK: To analyze current instance performance, create an immediate AWR snapshot and run the ADDM analysis on it and the most recent snapshot. To analyze past instance performance, select either the Period Start Time or the Period End Time option and click one of the snapshot icons under the Active Sessions graph.

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The following data dictionary views will help you manage the ADDM: The DBA_ADVISOR_RECOMMENDATIONS view shows all the ADDM recommendations in the database. The DBA_ADVISOR_FINDINGS view shows the findings of all the advisors in your database.

The DBA_ADVISOR_RATIONALE view shows the rationale behind all the recommendations. The DBA_ADVISOR_ACTIONS view shows all the actions that are necessary to implement the ADDM recommendations.

JavaBeans are essentially Java objects that support properties, methods, and events. JavaBeans also carry metadata, allowing tools to inspect their internal structure at run time to aid a tool-assisted composition of JavaBeans. The JavaBeans event model is largely based on the Observer design pattern.2 The object that publishes events is called the event source. An object receiving event notifications from an event source is called a listener. Listeners are required to implement the EventListener interface directly or indirectly. Event notifications are sent using a typed object call from the source to the listener, as shown in Figure 5-7.

It isn t always easy to adjust the system global area (SGA), which is the memory that Oracle assigns to every instance to hold data and control information You may have a situation where OLTP transactions dominate the database all day, and then you run heavy-duty batch jobs during the night In such a situation, you d need a higher allocation for the buffer cache during the day, and an increase in the large pool component of the SGA for the nightly batch jobs You can, of course, dynamically change several SGA components, as well as use scripts to change SGA allocations before and after batch jobs, but the fact remains that you are directly responsible for adjusting the SGA components to match instance needs Problems like the ORA-4031 ( out of shared pool memory ) error are all too common when you re manually tuning various parameters.

If you try to be extra careful and allocate a lot of SGA memory, you ll run the risk of wasting critical resources and also potentially contributing to paging and other problems, which will affect your database performance In Oracle Database 11g, you can make the often-tricky issue of memory management completely automatic This is one of the more significant improvements in Oracle Database 11g, and it contributes considerably to Oracle s goal of automatic database management Under automatic memory management, Oracle will automatically allocate and deallocate memory for both the SGA and the PGA based on changing database workloads Oracle uses internal views and statistics to decide on the best way to allocate memory among the SGA components.

EventObject -source : Object MyEventSource -listener : MyCustomListener MyCustomEvent +addMyCustomListener() +removeMyCustomListener() myCustomEvent

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