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CHAPTER 17 AUTOMATIC MANAGEMENT AND ONLINE CAPABILITIES
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Figure 17-1. Locating the latest ADDM report on the Advisor Central page of the Grid Control
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Figure 17-2. Viewing the latest ADDM report in the OEM Grid Control
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CHAPTER 17 AUTOMATIC MANAGEMENT AND ONLINE CAPABILITIES
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Note that you can also view an ADDM report straight from the Database Control home page. Simply go to Tip the Diagnostic Summary section and click on the ADDM Findings link, which is a number that shows how many ADDM Findings are available for viewing. If your instance doesn t have any ADDM problem findings, this number will be 0.
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For each problem identified by 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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Figure 17-3. Viewing the rationale for a recommendation in the ADDM report
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CHAPTER 17 AUTOMATIC MANAGEMENT AND ONLINE CAPABILITIES
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Using Database Control to Run ADDM
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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 on the Advisor Central link. 2. Click on 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 on one of the snapshot icons under the Active Sessions graph.
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Figure 17-4. Running an ad hoc ADDM report using Database Control
Using ADDM-Related Dictionary Views
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.
CHAPTER 17 AUTOMATIC MANAGEMENT AND ONLINE CAPABILITIES
Automatic Shared Memory Management
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.
Note To enable automatic shared memory management, you need to set the SGA_TARGET parameter to a nonzero value. In Oracle Database 10g, the database enables the automatic PGA memory management feature by default, but if you set the PGA_AGGREGATE_TARGET parameter to 0 or the WORKAREA_SIZE_POLICY parameter to MANUAL, Oracle doesn t use automatic PGA memory management.
In Oracle Database 10g, you can make the often-tricky issue of shared memory management completely automatic. This is one of the more significant improvements in Oracle Database 10g, and it contributes significantly to Oracle s goal of automatic database management. Under automatic shared memory management, Oracle will automatically allocate and deallocate memory for each of the memory pools based on changing database workloads. Oracle uses internal views and statistics to decide on the best way to allocate memory among the SGA components. These are some of the benefits of using automatic shared memory management: Reduces the chance of running out of shared pool memory Uses available memory optimally Improves database performance by constantly matching memory allocations and instance memory needs You can continue to manually manage the shared memory components in Oracle Database 10g if you wish. All SGA automatic components behave the same way as in previous versions, except that the shared pool component now includes the internal overhead allocations for metadata, and should therefore be set a little higher than in previous versions of the database.
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