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Running the ADDM
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The Oracle background process MMON schedules the ADDM to run every time the AWR collects its most recent snapshot. Oracle, therefore, automatically generates ADDM reports throughout the day, which you can view through the Database Control. One of the reasons for invoking the ADDM manually is because an alert might recommend you do it. You can perform an ad hoc ADDM analysis to find out details about a performance problem that s currently occurring in the database. You can create a new AWR snapshot manually and run the ADDM using this and the preceding snapshot. You can also request that the ADDM analyze past instance performance by examining AWR snapshot data that falls between any two nonadjacent snapshots. The only requirements regarding the selection of the AWR snapshots are these: The snapshots must not contain any errors. There can t be a database shutdown between the two snapshots. The AWR holds only cumulative database statistics, and once you shut down the database, all the cumulative data will lose its meaning.
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Note Although the addmrpt.sql script indicates that you can specify the number of days of snapshots, you really aren t given that choice. The script really just lists the last three days of completed snapshots, as you can see here:
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Specify the number of days of snapshots to choose from Entering the number of days (n) will result in the most recent (n) days of snapshots being listed. Pressing <return> without specifying a number lists all completed snapshots. Listing the last 3 days of Completed Snapshots
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Viewing Detailed ADDM Reports
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You can view the ADDM analysis reports in three different ways: You can use the Oracle-provided addmrpt.sql script (located in the $ORACLE_HOME/rdbms/ admin directory) to create an ad hoc ADDM report for a time period covered by any pair of snapshots. You can use the DBMS_ADVISOR package and create an ADDM report by using the CREATE_ REPORT procedure. You can use the OEM to view the performance findings of the stored ADDM reports, which are proactively created each hour after the AWR snapshots. The following sections discuss each of these three methods, but first we ll look at how to read an ADDM report.
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The ADDM presents the results of its analysis to you in a standard format that consists of the following components: The definition of the performance problem The root cause of the performance problem
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CHAPTER 17 A UTOMA TIC M ANA GEMEN T AND ONLINE C APAB ILITIES
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Recommendation(s) for fixing the problem The rationale for the proposed recommendations Listing 17-2 shows a condensed version of an ADDM report. Listing 17-2. An Abbreviated ADDM Report DETAILED ADDM REPORT FOR TASK 'TASK_4028' WITH ID 4028 Analysis Period: 01-JUL-2008 from 06:00:11 to 21:00:37 Database ID/Instance: 866170026/1 Database/Instance Names: FINANCE/finance Host Name: prod5 Database Version: 11.1.0.0.0 Snapshot Range: from 3068 to 3076 Database Time: 687974 seconds Average Database Load: 23.9 active sessions FINDING 1: 42% impact (287205 seconds) Individual database segments responsible for significant physical I/O were found. RECOMMENDATION 1: Segment Tuning, 15% benefit (102631 seconds) ACTION: Run "Segment Advisor" on TABLE "FIN.UNIT_REGISTR" with object id 1817. RELEVANT OBJECT: database object with id 1817 ACTION: Investigate application logic involving I/O on TABLE "FIN.UNIT_REGIST" with object id 1817. RELEVANT OBJECT: database object with id 1817 RATIONALE: The SQL statement with SQL_ID "dvycj85pfmb1b" spent significant time waiting for User I/O on the hot object. RELEVANT OBJECT: SQL statement with SQL_ID dvycj85pfmb1b UPDATE UNIT_REGISTR UR SET UR.CARD_PRINTED_FLAG = 'Y' . . . RECOMMENDATION 2: Segment Tuning, 6.7% benefit (56805 seconds) ACTION: Run "Segment Advisor" on TABLE "APPOWNER.CAMP_POS" with object id 1381. RELEVANT OBJECT: database object with id 1381 ACTION: Investigate application logic involving I/O on TABLE "APPOWNER.CAMP_POS" with object id 1381. RELEVANT OBJECT: database object with id 1381 RATIONALE: The SQL statement with SQL_ID "gfjfc1g8t2a64" spent . . . FINDING 2: 29% impact (202802 seconds) Individual database segments responsible for significant user I/O wait were found. RECOMMENDATION 1: Segment Tuning, 12% benefit (84451 seconds) ACTION: Run "Segment Advisor" on TABLE "APPOWNER.COM_ORGS" with object id 1412. RELEVANT OBJECT: database object with id 1412 ACTION: Investigate application logic involving I/O on TABLE "APPOWNER.COM_ORGS" with object id 1412. RELEVANT OBJECT: database object with id 1412
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