ASP.NET PDF Viewer using C#, VB/NET

She could set the SORT_AREA_SIZE, but if there were 10 concurrent sorts, Oracle could use as much as 10 * SORT_AREA_SIZE bytes of RAM If there were 100 concurrent sorts, Oracle would use 100 * SORT_AREA_SIZE bytes; for 1,000 concurrent sorts, 1,000 * SORT_AREA_SIZE; and so on Couple that with the fact that other things go into the PGA, and you really didn't have good control over the maximal use of PGA memory on the system What you d like to happen is for this memory to be allocated differently as the memory demands on the system grow and shrink The more users, the less RAM each should use The fewer users, the more RAM each should use Setting WORKAREA_SIZE_POLICY = AUTO is just the way to achieve this.

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The DBA specifies a single size now, the PGA_AGGREGATE_TARGET or the maximum amount of PGA memory that the database should strive to use Oracle then distributes this memory over the active sessions as it sees fit Further, with Oracle9i Release 2 and up, there is even a PGA advisory (part of statspack and AWR, available via a V$ dynamic performance view and visible in Enterprise Manager), much like the buffer cache advisor It will tell you over time what the optimal PGA_AGGREGATE_TARGET for your system is to minimize physical I/O to your temporary tablespaces You can use this information to either dynamically change the PGA size online (if you have sufficient RAM) or decide whether you need more RAM on your server to achieve optimal performance Are there times, however, when you won't want to use it Absolutely, but fortunately they seem to be the exception and not the rule.

Queues the asynchronous computation, initially as a work item in the thread pool. When its result is available, executes the given callback by posting a message to the synchronization context of the thread that called SpawnThenPostBack. Useful for returning the results of asynchronous computations to a GUI application. Queues the asynchronous computation as an operation in the thread pool and returns an object that can be used to later rendezvous with its result.

The automatic memory management was designed to be multiuser fair In anticipation of additional users joining the system, the automatic memory management will.

limit the amount of memory allocated as a percentage of the PGA_AGGREGATE_TARGET. But what happens when you don't want to be fair, when you know that you should get all of the memory available Well, that would be time to use the ALTER SESSION command to disable automatic memory management in your session (leaving it in place for all others) and to manually set your SORT|HASH_AREA_SIZE as needed. For example, that large batch process that takes place at 2:00 am and does tremendously large hash joins, some index builds, and the like It should be permitted to use all of the resources on the machine. It does not want to be "fair" about memory use it wants it all, as it knows it is the only thing happening in the database right now. That batch job can certainly issue the ALTER SESSION command and make use of all resources available. So, in short, I prefer to use automatic PGA memory management for end-user sessions for the applications that run day to day against my database. Manual memory management makes sense for large batch jobs that run during periods when they are the only activities in the database.

Asynchronous programming is becoming more widespread because of the use of multicore machines and networks in applications, and many .NET APIs now come with both synchronous and asynchronous versions of their functionality. For example, all web service.APIs generated by .NET tools have asynchronous versions of their requests. A quick scan of the .NET API documentation on the Microsoft website reveals the asynchronous operations listed in Table 13-5. These all have equivalent Async<'a> operations defined in the F# libraries as extensions to the corresponding .NET types.