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The Shared pool is one of the most critical pieces of memory in the SGA, especially with regard to performance and scalability A Shared pool that is too small can kill performance to the point where the system appears to hang A Shared pool that is too large can have the same effect A Shared pool that is used incorrectly will be a disaster as well So, what exactly is the Shared pool The Shared pool is where Oracle caches many bits of program data When we parse a query, the parsed representation is cached there Before we go through the job of parsing an entire query, Oracle searches the Shared pool to see if the work has already been done PL/SQL code that you run is cached in the Shared pool, so the next time you run it, Oracle doesn t have to read it in from disk again.

poorly, because the Fire method must parse a parameter list or use other means to create the notification payload for an event whose type is determined on the fly at run time Some studies have shown that in extreme cases, this overhead can represent a significant fraction of a system s activity3 In such cases, optimizations might become necessary While optimization of event-based systems is currently at the experimental level, a number of techniques have been studied and shown to be useful In traditional systems, static analysis of call graphs can identify heavily used sections of code, providing a way to determine which methods should be optimized to give the greatest benefit In an event-based system, a large number of bindings between objects is established at run time, so static tools are of little help.

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If the network seems like one of your constant bottlenecks, you may want to investigate the possibility of using the shared server approach instead of the dedicated server approach for connecting users to your database. By using a shared server and its connection pooling feature, you can reduce the number of physical network connections and thus help your application scale more efficiently to large user bases.

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$SESSTAT view shows CPU usage by session. Using the following query, you can find out the top CPU-using Oracle sessions. You may want to look into the actual SQL that these sessions are executing. SQL> SELECT a.sid,a.username, s.sql_text FROM V$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;

PL/SQL code is not only cached here, it is shared here as well If you have 1,000 sessions all executing the same code, only one copy of the code is loaded and shared among all sessions Oracle stores the system parameters in the Shared pool The data dictionary cache (cached information about database objects) is stored here In short, everything but the kitchen sink is stored in the Shared pool The Shared pool is characterized by lots of small (4KB or less in general) chunks of memory Bear in mind that 4KB is not a hard limit there will be allocations that exceed that size but in general the goal is to use small chunks of memory to prevent the fragmentation that would occur if memory chunks were allocated in radically different sizes, from very small to very large.

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