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The V$SESSION_LONGOPS view shows the status of all operations that run for a long time (more than six seconds in absolute time). The columns SOFAR and TIME_REMAINING indicate how much of the work is done and how long the operation has to go before completing. The following is a sample query using the view: SQL> SELECT sid, opname, sofar,totalwork, 2 start_time, time_remaining 3* FROM V$SESSION_LONGOPS; You can use either the V$SESSION_LONGOPS or V$RECOVERY_PROGRESS view, which is a subview of the former, to monitor the progress of a backup. The following code shows the structure of the V$RECOVERY_PROGRESS view:

Although UML is the most widely used methodology for modeling EBSs today, there are many others. Some had an influence on UML and were eventually incorporated into UML, such as Harel Statecharts and Jim Odell s Event Diagrams. Others were developed before the advent of OO or for vertical markets. For example, SDL (described later) was developed initially for telecom systems and has achieved more penetration in Europe than the United States. Here are some other techniques that are interesting but not in widespread use in EBS diagrams: Petri nets3 Change propagation and response graphs4 Architecture description languages,5 such as Rapide6 Workflow diagrams, available in many variations Event-driven Process Chains7

Per Transaction --------------16,710.33 16,673.67

SQL> DESC V$RECOVERY_PROGRESS Name -------------------------------------------TYPE /* type of recovery operation */ ITEM /* the item name */ SOFAR /* Work completed so far */ TOTAL /* Total expected amount of work */ SQL>

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The V$ADVISOR_PROGRESS view shows details about the progress of various advisor job executions (for example, the SQL Tuning Advisor). Here s a simple query you can use to check the progress of an ongoing SQL Tuning Advisor job: SQL> SELECT sofar, totalwork FROM V$ADVISOR_PROGRESS WHERE user_name = 'SALAPATI' AND task_name = 'TEST_TUNING_TASK';

Top 5 Timed Events ~~~~~~~~~~~~~~~~~~ % Total Event Waits Time (s) Call Time -------------------------------------------- ------------ ----------- --------CPU time 74 9753 log file parallel write 53 1 127 latch: shared pool 406 1 66 control file parallel write 21 0 45 log file sync 6 0 04 What we discover is that the hard parsing goes up a little bit, but the CPU time triples rather than doubles! How could that be The answer lies in Oracle s implementation of latching On this multi-CPU machine, when we could not immediately get a latch, we spun The act of spinning itself consumes CPU Process 1 attempted many times to get a latch onto the Shared pool only to discover that process 2 held that latch, so process 1 had to spin and wait for it (consuming CPU).

You normally use the V$ACCESS view in conjunction with the V$SESSION view to gather information about which users are accessing a given database object. Here s the view: SQL> DESC V$ACCESS Name Null Type ----------------------------------------- ----- -------------SID NUMBER OWNER VARCHAR2(64) OBJECT VARCHAR2(1000) TYPE VARCHAR2(24) SQL>

3. Tadao Murata, Petri Nets: Properties, Analysis and Applications, Proceedings of the IEEE, April 1989. 4. John C. Grundy, John G. Hosking, and Warwick B. Mugridge, Supporting Flexible Consistency Management via Discrete Change Description Propagation, Software, Practice and Experience, September 1996. 5. Nenad Medvidovic and Richard N. Taylor, A Classification and Comparison Framework for Software Architecture Description Languages, IEEE Transactions on Software Engineering, January 2000. 6. David C. Luckham, John J. Kenney, Larry M. Augustin, James Vera, Doug Bryan, and Walter Mann, Specification and Analysis of System Architecture Using Rapide, IEEE Transactions on Software Engineering, April 1995. 7. W.M.P. van der Aalst, Formalization and Verification of Event-Driven Process Chains, Information and Software Technology, July 1999.

The dynamic performance views are excellent for monitoring the redo log and the archive log usage. The following sections present some of the key performance views relating to logs, both online and archived.

The converse would be true for process 2 many times it would find that process 1 was holding the latch to the resource it needed So, much of our processing time was spent not doing real work, but waiting for a resource to become available If we page down through the Statspack report to the Latch Sleep Breakdown report, we discover the following: Latch Name Requests Misses Sleeps Sleeps 1->3+ ---------------- ------------- ----------- -------- -----------shared pool 1,126,006 229,537 406 229135/398/4/0 library cache 1,108,039 45,582 7 45575/7/0/0 Note how the number 406 appears in the SLEEPS column here That 406 corresponds to the number of waits reported in the preceding Top 5 Timed Events report This report shows us the number of times we tried to get a latch and failed in the spin loop.

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