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The Active Sessions chart is a key chart, because it shows the extent of performance bottlenecks in your database instance. The chart consists of three components: CPU User I/O Wait The Active Sessions chart shows the time consumed by the three items: CPU, User I/O, and Wait. You can drill down to each of these categories by clicking on the respective links. Note that the Wait category includes all waits in the instance except User I/O, which is shown in a separate category by itself.

Notice that the SQL tag containing the string "/*+CONN=5CSTMT=20(RSET=50)*/ tells us that the fetch size at the Connection level for this select was 5, at the CallableStatement level it was 20, and at the ResultSet level it was overridden to 50. The actual number of fetches is 3 (see column count of row Fetch in the tkprof output). This is because the very first fetch of five rows in the while loop was based on the fetch size of 5 set at the Connection object (remember that the CallableStatement fetch size does not really work). The second and third fetches used the fetch size of 50 set at the ResultSet object, as shown in Table 7-4. Table 7-4. Step-by-Step Account of the Number of Fetches for the _demoPstmtFetchSizeWithRsetOverride() Method

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The SQL Response Time chart provides a quick idea about how efficiently the instance is executing SQL statements. If the current SQL response ratio exceeds the baseline response ratio of 100 percent, then the SQL statements are executing slower than normal. If the SQL Response Time shows a small response percentage, then you have inefficient SQL statement processing in the instance.

If you have a pre-Oracle Database 10g database, you may have to configure certain things for the SQL activity metrics to show up in the SQL Response Time chart. You do this by using the Database Configuration wizard, which you activate by clicking the Configure button in the SQL Activity Monitoring file under the Diagnostic Summary.

The Performance Analysis section of the Database Control home page summarizes the most recent ADDM analysis. Figure 20-3 shows the Performance Analysis section. From here, you can click any of the findings to analyze any performance issues further. ADDM reports, which use the AWR statistics, provide you with a quick top-down analysis of instance activity.

Fetch Number(s)

The Database Performance page is your jump-off point for evaluating instance performance. This page helps you do the following: Check for problems both within the database and the system. Run the ASH report to get a quick session-sampling data-based performance diagnostic report. Quickly see what bottlenecks exist within the system. Run ADDM reports. For slow or hung systems, access the Memory Access Mode.

You can view the Performance page in the default mode, which is called the SQL Access Mode, or the new Memory Access Mode. The SQL Access Mode works through SQL statements that mostly query the V$ dynamic performance view to obtain instance performance data. However, when the database is running painfully slowly, or is completely hung, running in the SQL Access Mode puts further stress due to the additional parsing and execution load of the SQL statements run by the OEM interface to diagnose instance performance. If your instance is already facing heavy library cache contention, your attempt to diagnose the problem will exacerbate the situation. Oracle recommends that you switch to the Memory Access Mode while diagnosing slow or hung systems. Under this mode, the database gets its diagnostic information straight from the SGA, using more lightweight system calls than the resource-intensive SQL statements that are employed during the default SQL Access Mode. Because the data is sampled more frequently under the Memory Access Mode, you re less likely to miss events that span short intervals of time as well. Figure 20-4 shows how to use the drop-down window to switch between the Memory Access Mode and the SQL Access Mode.

Figure 20-4. Using the Performance page in the Memory Access Mode The following sections describe the main charts you ll see on the Database Performance page.

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The Host chart indicates whether there is a CPU bottleneck. If the number of users is low while the Host section shows a high run-queue length, it means that the database users may not be the main contributing factor for high CPU consumption. Look at what else may be running on your system and consuming the CPU resources.

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