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Check the CPU performance to make sure a runaway process or a valid Oracle process isn t hogging one or more processes and contributing to the system slowdown. Often, killing the runaway processes or the resource-hogging sessions will bring matters to a more even keel. Using the OEM Database Control, you can get a quick idea about the breakdown of CPU usage among parse, recursive, and other usage components. Normally, you should expect to see no more than 20 to 25 percent of total CPU usage by the system itself, and about 60 to 65 percent usage by the Oracle application. If the system usage is close to 50 percent, it s an indication that there are too many system calls, for example, which leads to excessive use of the processors. As you learned earlier in this chapter, the V$SESSTAT view shows CPU usage by session. Using the following query, you can find out the top CPU-using Oracle sessions. You may want to look into the actual SQL that these sessions are executing.

Std Block Size: Log Buffer:

SQL> SELECT a.sid,a.username, s.sql_text FROM V$SESSION a, V$SQLTEXT s WHERE a.sql_address = s.address AND a.sql_hash_value = s.hash_value AND a.username = '&USERNAME' AND A.STATUS='ACTIVE' ORDER BY a.username,a.sid,s.piece;

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The first thing that pops out should be Our trigger fired twice! We had a one-row table with a BEFORE FOR EACH ROW trigger on it. We updated one row, yet the trigger fired two times. Think of the potential implications of this. If you have a trigger that does anything nontransactional, this could be a fairly serious issue. For example, consider a trigger that sends an update where the body of the e-mail is This is what the data used to look like. It has been modified to look like this now. If you sent the e-mail directly from the trigger, using UTL_SMTP in Oracle9i or UTL_MAIL in Oracle 10g and above, then the user would receive two e-mails, with one of them reporting an update that never actually happened. Anything you do in a trigger that is nontransactional will be impacted by a restart. Consider the following implications:

Per Transaction Per Exec Per Call ----------------- ----------- ----------5,383.8 5,089.0

Before you go any further analyzing other wait events, it s a good idea to rule out whether you re limited by your storage subsystem by checking your I/O situation Are the read and write times on the host system within the normal range Is the I/O evenly distributed, or are there hot spots with one or two disks being hit hard If your normal, healthy I/O rates are 40 50/ms and you re seeing an I/O rate of 80/ms, obviously something is amiss The AWR and ASH reports include I/O times (disk read and disk write) by datafile This will usually tip you off about what might be causing the spike For example, if the temporary tablespace datafiles are showing up in the high I/O list often, that s usually an indication that disk sorting is going on, and you need to investigate that further.

You can use the V$SYSTEM_EVENT view to verify whether the top wait events include events such as db file scattered read, db file sequential read, db file single write, and Logfile parallel write, which are database file, log file, and redo log file-related wait events You can run an AWR report and identify the tablespaces and datafiles causing the I/O contention Use the V$SQLAREA view, as shown in this chapter, to identify SQL statements that lead to high disk reads and have them tuned Too often, a batch program that runs into the daytime could cause spikes in the I/O rates Your goal is to see whether you can rule out the I/O system as the bottleneck.

Consider a trigger that maintains some PL/SQL global variables, such as the number of rows processed When a statement that restarts rolls back, the modifications to PL/SQL variables won t roll back Virtually any function that starts with UTL_ (UTL_FILE, UTL_HTTP, UTL_SMTP, and so on) should be considered susceptible to a statement restart When the statement restarts, UTL_FILE won t un-write to the file it was writing to Any trigger that is part of an autonomous transaction must be suspect When the statement restarts and rolls back, the autonomous transaction cannot be rolled back All of these consequences must be handled with care in the belief that they may be fired more than once per row or be fired for a row that won t be updated by the statement after all The second reason you should care about potential restarts is performance related.

Redo NoWait %: 100.00 Optimal W/A Exec %: 100.00 Soft Parse %: 5.48 Latch Hit %: 99.96 % Non-Parse CPU: 23.25

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