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restore the state of each process as it is brought on to CPU and then save its state when it is switched off the CPU As more users connect to the instance, the operating system has to context-switch between more and more server processes Depending on your operating system, this can cause a severe degradation in performance A decent mainframe operating system can context-switch between tens of thousands of processes without problems, but newer (and simpler) operating systems such as Unix and Windows may not be good at running thousands, or even just hundreds, of concurrent processes Performance degrades dramatically, because a large proportion of the computer s processing capacity is taken up with managing the context switches, leaving a relatively small amount of processing capacity available for actually doing work There may also be memory problems that occur as more sessions are established The actual server processes themselves are not an issue, because all modern operating systems use shared memory when the same process is loaded more than once So launching a thousand server processes should take no more memory than launching one The problem comes with the program global area, or PGA The PGA is a block of memory associated with each server process, to maintain the state of the session and as a work area for operations such as sorting rows Clearly, the PGAs cannot be in shared memory: they contain data unique to each session In many operating systems, as memory thresholds are reached, they make use of swap space or paging areas on disk, and memory pages are swapped out to disk to make room for memory requirements of other processes When the memory pages that have been swapped out to disk are required, they are swapped back into memory and something else is swapped out to disk Excessive swapping can be catastrophic for the performance of your system Due to the PGA requirements of each session, your system may begin to swap as more users log on So in the dedicated server environment, performance may degrade if your operating system has problems managing a large number of concurrent processes, and the problem will be exacerbated if your server machine has insufficient memory Note that it doesn t really matter whether the sessions are actually doing anything or not Even if the sessions are idle, the operating system must still bring them on and off CPU, and possibly page the appropriate PGA into main memory from swap files, according to its time slicing algorithm There comes a point when, no matter what you do in the way of hardware upgrades, performance begins to degrade because of operating system inefficiencies in managing context switches and paging These are not Oracle s problems, but to overcome them Oracle offers the option of the shared server architecture This allows a large number of user processes to be serviced by a relatively small number of shared server processes, thus reducing dramatically the number of processes that the server s operating system has to manage As a fringe benefit, memory usage may also reduce Always remember that the need for a shared server is very much platform and installation specific Some operating systems will hardly ever need it For example, a mainframe computer can time-share between many thousands of processes with no problems it is usually simpler operating systems like Windows or Unix that are more likely to have problems.

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PART I One point to emphasize immediately is that shared server is implemented purely on the server side The user process and the application software have no way of telling that anything has changed The user process issues a connect string that must resolve to the address of a listener and the name of a service (or of an instance) In return, it will receive the address of a server-side process that it will think is a dedicated server It will then proceed to send SQL statements and receive back result sets; as far as the user process is concerned, absolutely nothing has changed But the server side is very different Shared server is implemented by additional processes that are a part of the instance They are background processes, launched at instance startup time There are two new process types, dispatchers and shared servers There are also some extra queue memory structures within the SGA, and the database listener modifies its behavior for shared server When an instance that is configured for shared server starts up, in addition to the usual background processes one or more dispatcher processes also start The dispatchers, like any other TCP process, run on a unique TCP port allocated by your operating system s port mapper: they contact the listener and register with it, using the local_ listener parameter to locate the listener One or more shared server processes also start These are conceptually similar to a normal dedicated server process, but they are not tied to one session They receive SQL statements, parse and execute them, and generate a result set but they do not receive the SQL statements directly from a user process, they read them from a queue that is populated with statements from any number of user processes Similarly, the shared servers don t fetch result sets back to a user process directly instead, they put the result sets onto a response queue The next question is, how do the user-generated statements get onto the queue that is read by the server processes, and how do results get fetched to the users This is where the dispatchers come in When a user process contacts a listener, rather than launching a server process and connecting it to the user process, the listener passes back the address of a dispatcher If there is only one dispatcher, the listener will connect it to all the user processes If there are multiple dispatchers, the listener will load-balance incoming connection requests across them, but the end result is that many user processes will be connected to each dispatcher Each user process will be under the impression that it is talking to a dedicated server process, but it isn t: it is sharing a dispatcher with many other user processes At the network level, many user processes will have connections multiplexed through the one port used by the dispatcher EXAM TIP A session s connection to a dispatcher persists for the duration of the session, unlike the connection to the listener, which is transient When a user process issues a SQL statement, it is sent to the dispatcher The dispatcher puts all the statements it receives onto a queue This queue is called the common queue, because all dispatchers share it No matter which dispatcher a user process is connected to, all statements end up on the common queue.

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