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Figure 5-3 Concurrent users vs transactions per second Initially, as you add concurrent users, the number of transactions increases At some point, however, adding additional users does not increase the number of transactions you can perform per second the graph tends to drop off The throughput has peaked and now response time starts to increase (you are doing the same number of transactions per second, but the end users are observing slower response times) As you continue adding users, you will find that the throughput will actually start to decline The concurrent user count before this drop-off is the maximum degree of concurrency you want to allow on the system Beyond this point, the system becomes flooded and queues begin forming to perform work Much like a backup at a tollbooth, the system can no longer keep up.

As I did with the data dictionary views, I group the dynamic performance views into related areas: Memory-related views Backup- and Flashback-related views Session- and user-related views Redo log based and archive log based views Recovery-related views Performance-monitoring views SQL-related views Operational performance related views Metric- and alert-related views General views Storage- and file-related views Let s review the most important dynamic performance views in each of the preceding categories.

Context A process P1 sends a command to a process P2. P1 needs to monitor the execution progress of P2. Forces When an operation can result in widely varying processing times or intermediate steps, the caller may

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Not surprisingly, a large group of views helps you monitor or modify memory allocation to the instance. You can even use some of these views to get recommendations on the ideal size of the various SGA components. In the next sections you ll take a look at some of the important memoryrelated dynamic performance views.

Not only does response time rise dramatically at this point, but throughput from the system may fall as well as the overhead of simply context switching and sharing resources between too many consumers takes additional resources itself If we limit the maximum concurrency to the point right before this drop, we can sustain maximum throughput and minimize the increase in response time for most users Shared server allows us to limit the maximum degree of concurrency on our system to this number An analogy for this process could be a simple door The width of the door and the width of people limit the maximum people per minute throughput At low load, there is no problem; however, as more people approach, some forced waiting occurs (CPU time slice).

The V$SGA view is useful in determining how much total memory is allocated to the various components of the SGA. The following simple query gives you a summary of the SGA memory usage by the current instance: SQL> SELECT * FROM V$SGA; NAME VALUE -------------------- ---------Fixed Size 453492 Variable Size 109051904 Database Buffers 25165824 Redo Buffers 667648 SQL> In the preceding code, Variable Size includes the shared pool memory and Database Buffers refers to the buffer cache component. Redo Buffers is the redo log buffer cache.

The V$SGASTAT view gives you a detailed breakdown of the SGA memory. It shows you current memory allocations broken down into the following main areas: Fixed_sga Buffer_cache

wish to monitor the callee s progress. This allows the caller to alter or adjust its course of action, based on intermediate results.

If a lot of people want to get through the door, we get the fallback effect there are so many saying after you and false starts that the throughput falls Everybody gets delayed getting through Using a queue means the throughput increases, some people get through the door almost as fast as if there was no queue, while others (the ones put at the end of the queue) experience the greatest delay and might fret that this was a bad idea But when you measure how fast.

Log_buffer Shared_pool Java_pool Large_pool Streams_pool The V$SGASTAT view breaks down the memory allocation into various subcomponents for the last four items in the preceding list. Thus, you can look up the V$SGASTAT view and see how much free memory there is, for example, in the shared pool, by using the following query. The query results reveal that about 45MB of free memory is in the shared pool: SQL> SELECT bytes from v$sgastat 2 WHERE pool='shared pool' and 3 V$SGA name='free memory'; BYTES ---------45340344 SQL>

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