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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.

( SQL name | SQL [ schema_name.]toplevel [( name_list)] | TYPE type_name) [GENERATE java_name_1] [AS java_name_2] [TRANSLATE database_member_name AS simple_java_name { , database_member_name AS simple_java_name}* ] The commonly used translation line elements are provided in the sections that follow. For more details on the syntax and a host of other useful options related to the input file, please see 5 of Oracle Database JPublisher User s Guide (10g Release 1).

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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 20-18 shows part of an ADDM report.

Listing 20-18. An Abbreviated ADDM Report DETAILED ADDM REPORT FOR TASK 'TASK_1493' WITH ID 1493 ------------------------------------------------------------------------Analysis Period: 22-JUL-2008 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.

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 20-19 shows how you can get an AWR report for a particular SQL statement.

The SQL name | TYPE type_name clause identifies a SQL type or a PL/SQL package that you want JPublisher to translate (i.e., publish a Java class) for example, SQL BENCHMARK.PERSON.

The awrsqrpt.sql script seems to run slower than the instance-wide report-generating AWR script, awrrpt.sql, that you encountered in 17 during the introduction to AWR.

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