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These settings are not session limits; rather, they are limits on a single operation, and your session could have many sorts in a single query or many queries open that require a sort The memory for these areas is allocated on an as needed basis If you set the sort area size to 1GB as we did, it doesn t mean you ll allocate 1GB of RAM It only means that you ve given the Oracle process the permission to allocate that much memory for a sort/hash operation..

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// Create the events that we will later trigger let triggerCompleted,completed = IEvent.create() let triggerError ,error = IEvent.create() let triggerCancelled,cancelled = IEvent.create() let triggerProgress ,progress = IEvent.create() do worker.DoWork.Add(fun args -> // This recursive function represents the computation loop. // It runs at "maximum speed", i.e. is an active rather than // a reactive process, and can only be controlled by a // cancellation signal. let rec iterate state i = // At the end of the computation terminate the recursive loop if worker.CancellationPending then args.Cancel <- true elif i < numIterations then // Compute the next result let state' = oneStep state // Report the percentage computation and the internal state let percent = int ((float (i+1)/float numIterations) * 100.0) do worker.ReportProgress(percent, box state); // Compute the next result iterate state' (i+1) else args.Result <- box state iterate initialState 0) do worker.RunWorkerCompleted.Add(fun args -> if args.Cancelled then triggerCancelled() elif args.Error <> null then triggerError args.Error else triggerCompleted (args.Result : > 'a)) do worker.ProgressChanged.Add(fun args -> triggerProgress (args.ProgressPercentage,(args.UserState : > 'a))) member member member member x.WorkerCompleted x.WorkerCancelled x.WorkerError x.ProgressChanged = = = = completed cancelled error progress

Starting with Oracle9i Release 1, a new way to manage PGA memory was introduced that avoids using the SORT_AREA_SIZE, BITMAP_MERGE_AREA_SIZE, and HASH_AREA_SIZE parameters. It was introduced to address a few issues: Ease of use: Much confusion surrounded how to set the proper *_AREA_SIZE parameters. There was also much confusion over how those parameters actually worked and how memory was allocated. Manual allocation was a "one-size-fits-all" method: Typically, as the number of users running similar applications against a database went up, the amount of

memory used for sorting and hashing went up linearly as well. If 10 concurrent users with a sort area size of 1MB used 10MB of memory, 100 concurrent users would probably use 100MB, 1,000 would probably use 1000MB, and so on. Unless the DBA was sitting at the console continually adjusting the sort/hash area size settings, everyone would pretty much use the same values all day long. Consider the previous example, where you saw for yourself how the physical I/O to temp decreased as the amount of RAM we allowed ourselves to use went up. If you run that example for yourself, you will almost certainly see a decrease in response time as the amount of RAM available for sorting increases. Manual allocation fixes the amount of memory to be used for sorting at a more or less constant number, regardless of how much memory is actually available. Automatic memory management allows us to use the memory when it is available; it dynamically adjusts the amount of memory we use based on the workload. Memory control: As a result of the previous point, it was hard, if not impossible, to keep the Oracle instance inside a "box" memory-wise. You couldn t control the amount of memory the instance was going to use, as you had no real control over the number of simultaneous sorts and hashes taking place. It was far too easy to attempt to use more real memory (actual physical free memory) than was available on the machine.

// Delegate the remaining members to the underlying worker member x.RunWorkerAsync() = worker.RunWorkerAsync() member x.CancelAsync() = worker.CancelAsync()