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J2EE connection pool), and you have sized your connection pool appropriately, using shared server will only be a performance inhibitor. You already sized your connection pool to cater for the number of concurrent connections that you will get at any point in time you want each of those connections to be a direct dedicated server connection. Otherwise, you just have a connection pooling feature connecting to yet another connection pooling feature.

0 - 64bit Production With the Partitioning, OLAP and Data Mining options *** 2005-05-01 10:59:05905 *** ACTION NAME:() 2005-05-01 10:59:05880 *** MODULE NAME:(SQL*Plus) 2005-05-01 10:59:05880 *** SERVICE NAME:(SYS$USERS) 2005-05-01 10:59:05880 *** SESSION ID:(20710866) 2005-05-01 10:59:05880 Start dump data blocks tsn: 110 file#: 397 minblk 32811 maxblk 32811 buffer tsn: 110 rdba: 0x6340802b (397/32811) scn: 0x0001610ac43d seq: 0x01 flg: 0x04 tail: 0xc43d2301.

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The data dictionary views are static in the sense that they hold information about various components of the database but don t change continuously while the database operates. Oracle updates the dictionary tables only when a DDL transaction takes place. The other set of tables (or views, rather) that the DBA uses are dynamic, because they re updated continuously while the database is running. Thus, they provide a valuable window into the performance characteristics and are vital to database management. As in the case of the data dictionary, even the DBA has only read access to the views defined on the dynamic performance tables. The views themselves have the prefix V_$, but Oracle creates synonyms for those whose prefix is simply V$ thus the alternative name V$ views for the dynamic performance views.

So, what are the benefits of shared server, bearing in mind that you have to be somewhat careful about the transaction types you let use it Shared server does three things for us mainly: it reduces the number of operating system processes/threads, it artificially limits the degree of concurrency, and it reduces the memory needed on the system. We ll discuss these points in more detail in the sections that follow. Reduces the Number of Operating System Processes/Threads On a system with thousands of users, the operating system may quickly become overwhelmed when trying to manage thousands of processes. In a typical system, only a fraction of the thousands of users are concurrently active at any point in time. For example, I ve worked on systems recently with 5,000 concurrent users. At any one point in time, at most 50 were active. This system would work effectively with 50 shared server processes, reducing the number of processes the operating system has to manage by two orders of magnitude (100 times). The operating system can now, to a large degree, avoid context switching. Artificially Limits the Degree of Concurrency Speaking as a person who has been involved in lots of benchmarks, the benefits of this are obvious to me. When running benchmarks, people frequently ask to run as many users as possible until the system breaks. One of the outputs of these benchmarks is always a chart that shows the number of concurrent users versus the number of transactions (see Figure 5-3).

Figure 9-10. An industrial system using asynchronous interactions with polled feedback In this example, SysCon is the caller and the vat is the callee. The vat is expected to take a long time to heat up, once the heater is turned on. SysCon is therefore designed to use an asynchronous call to turn the heater on. While the vat warms up, SysCon continues with its internal chores, checking the vat temperature occasionally. SysCon uses a polling loop to read the temperature sensor. The temperature sensor is purely reactive, so it isn t capable of sending signals to SysCon by itself. The sensor makes progress unavailable to SysCon, reporting a 1 only when the temperature exceeds 95 degrees Celsius. Once SysCon reads the appropriate temperature, the asynchronous interaction ends and SysCon starts loading the third chemical.

Be aware that the dynamic performance or V$ tables and views get their information solely from the operaTip tional instance. If you shut down the instance and restart it, the tables will lose all the data and Oracle will repopulate the tables. When you interpret statistics, especially performance data, let the database reach a steady state before interpreting the results.

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