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Similarly, if latch free wait events are troublesome, one of the solutions is to check if you need to add more memory to the shared pool You may fix a problem due to a high level of waits caused by the direct path reads by increasing the value of the PGA_AGGREGATE_TARGET parameter..

In Oracle Database 10g Release 2, you can use the OEM Database Control to examine quickly the current SQL response time compared to a normal baseline SQL response time. The Database Control computes the SQL response time percentage by dividing the baseline SQL response time by the current SQL response time, both expressed in microseconds. If the SQL response time percentage exceeds 100 percent, then the instance is processing SQL statements slower than the baseline times. If the percentage is approximately equal to 100 percent, then the current response time and the baseline response time are equal, and your instance is performing normally. The SQL Response Time section is right on the Database Control home page.

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The reasoning was that this column, the PROCESSED_FLAG column, had only two values: Y and N. Records inserted into the table would have a value of N (for not processed). As the other processes read and processed the record, they would update the value from N to Y. These processes needed to be able to find the N records rapidly, hence the developers knew

There s no question that the new ADDM tool should be the cornerstone of your performance-tuning efforts. In 17, I showed how you can manually get an ADDM report or use the OEM Database Control to view the ADDM analysis. Use the findings and recommendations of the ADDM advisor to fine-tune database performance. Here s the partial output from an ADDM analysis (invoked by running the addmrpt.sql script located in the $ORACLE_HOME/rdbms/admin directory). Listing 22-18 shows part of an ADDM report. Listing 22-18. An Abbreviated ADDM Report DETAILED ADDM REPORT FOR TASK 'TASK_1493' WITH ID 1493 ------------------------------------------------------------------------Analysis Period: 22-JUL-2005 from 07:01:02 to 17:00:36 Database ID/Instance: 877170026/1 Database/Instance Names: NINA/nina Host Name: finance1 Database Version: 10.2.0.0 Snapshot Range: from 930 to 940 Database Time: 801313 seconds Average Database Load: 22.3 active sessions ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ FINDING 1: 24% impact (193288 seconds) -------------------------------------The buffer cache was undersized causing significant additional read I/O. RECOMMENDATION 1: DB Configuration, 24% benefit (193288 seconds) ACTION: Increase SGA target size by increasing the value of parameter "sga_target" by 1232 M. SYMPTOMS THAT LED TO THE FINDING: Wait class "User I/O" was consuming significant database time. (54% impact [436541 seconds]) FINDING 2: 19% impact (150807 seconds) -------------------------------------SQL statements consuming significant database time were found. RECOMMENDATION 1: SQL Tuning, 4.4% benefit (34936 seconds) ACTION: Run SQL Tuning Advisor on the SQL statement with SQL_ID "b3bkjk3ybcp5p". RELEVANT OBJECT: SQL statement with SQL_ID b3bkjk3ybcp5p and PLAN_HASH 954860671 . . . ADDM may sometimes recommend that you run the Segment Advisor for a certain segments, or the Automatic SQL Advisor for a specific SQL statement. See 17 for a detailed analysis of an ADDM performance report.

Events fired using procedure calls use a reference to the subscriber. Before firing a PC event, the sender must always check to see if the subscriber reference points to something; otherwise, a runtime error will occur. Since PC events are fired as indirect procedure calls, the subscriber reference will contain a reference either to a typed object or to a method. In both cases, the reference is usually initialized to zero or null, indicating no subscribers. When an object subscribes, a reference to it is saved in the event source. Firing events using procedure calls is conceptually similar across most languages, but each language imposes its own details at the implementation level.

In 17, you learned how to use AWR reports to analyze the performance of the database during a time period encompassed by a pair of snapshots. As explained in that chapter, AWR reports are an excellent source of information for wait-related as well as other instance performance indicators. You can also use the AWR to produce reports displaying performance statistics for a single SQL statement, over a range of snapshot IDs. Listing 22-19 shows how you can get an AWR report for a particular SQL statement.

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