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reduce performance It is quite possible that any one statement will take longer to execute in a shared server environment than if it were executing on a dedicated server, because it has to go via queues It may also take more CPU resources because of the enqueuing and dequeuing activity But overall, the scalability of your system will increase dramatically Even if each request is marginally slower, you will be able to carry out many more requests per second through the instance TIP It is often said that you should think about using shared server when your number of concurrent connections is in the low hundreds If you have less than a hundred concurrent connections, you almost certainly don t need it But if you have more than a thousand, you probably do The critical factor is whether your operating system performance is beginning to degrade Consider an OLTP environment, such as one where the application supports hundreds of telephone operators in a call center Each operator may spend one or two minutes per call, collecting the caller details and entering them into the user process (their application session) Then when the Submit button is clicked, the user process constructs an insert statement and sends it off to the server process The server process might go through the whole parse/bind/execute/fetch cycle for the statement in just a few hundredths of a second Clearly, no matter how fast the clerks work, their server processes are idle 999 percent of the time But the operating system still has to switch all those processes on and off CPU, according to its time sharing algorithm By contrast, consider a data warehouse environment Here, users submit queries that may run for a long time The batch uploads of data will be equally long running Whenever one of these large jobs is submitted, the server process for that session could be working flat out for hours on just one statement It should be apparent that shared server is ideal for managing many sessions doing short transactions, where the bulk of the work is on the client side of the client-server divide In these circumstances, one shared server will be able to service dozens of sessions But for batch processing work, dedicated servers are much better If you submit a large batch job through a shared server session, it will work but it will tie up one of your small pool of shared server processes for the duration of the job, leaving all your other users to compete for the remaining shared servers The amount of network traffic involved in batch uploads from a user process and in fetching large result sets back to a user process will also cause contention for dispatchers A second class of operations that are better done through a dedicated server is database administration work Index creation, table maintenance operations, and backup and recovery work through the Recovery Manager will perform much better through a dedicated server And it is logically impossible to issue startup or shutdown commands through a shared server: the shared servers are part of the instance and thus not available at the time you issue a startup command So the administrator should always have a dedicated server connection PART I.

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TIP If the default mode has been changed to shared server mode, batch and administration user processes can ensure that they are serviced by dedicated server processes, by modifying their client-side tnsnamesora by adding the entry: (SERVER=DEDICATED) Exercise 4-2: Set Up a Shared Server Environment In this exercise, which continues from Step 21 of Exercise 4-1, you will configure the shared server and prove that it is working 1 Set the dispatchers and shared_servers parameters and register with the listener as follows:

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alter system set dispatchers='(protocol=tcp)(dispatchers=2)' scope=memory; alter system set shared_servers=4 scope=memory; alter system register;

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