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The Large pool is not so named because it is a large structure (although it may very well be large in size) It is so named because it is used for allocations of large pieces of memory that are bigger than the Shared pool is designed to handle Prior to the introduction of the Large pool in Oracle 80, all memory allocation took place in the Shared pool This was unfortunate if you were using features that made use of large memory allocations such as shared server UGA memory allocations This issue was further complicated by the fact that processing, which tended to need a lot of memory allocation, would use the memory in a different manner than the way in which the Shared pool managed it The Shared pool manages memory on a LRU basis, which is perfect for caching and reusing data.

This chapter has walked through the various types and classes in the framework that enable both mobile objects and data access. The details of mobile objects are managed by a concept called the data portal. You should understand that the data portal incorporates several areas of functionality: Channel adapter Distributed transactional support Message router Context and location transparency The channel adapter provides for flexibility in terms of how (or if ) the client communicates with an application server to run server-side code. The distributed transactional support abstracts the use of Enterprise Services or System.Transactions. The message router handles the routing of client calls to your business components on the server, minimizing the coupling between client and server by enabling a single point of entry to the server. Behind the scenes, the data portal provides transparent context flow from the client to the server and back to the client. This includes implementing impersonation when using custom authentication. The base classes from 3 were updated to integrate with the data portal concept and to support data access. Mostly, this revolves around the five DataPortal_XYZ methods: DataPortal_Create() DataPortal_Fetch() DataPortal_Update() DataPortal_Execute() DataPortal_Delete() 3 walked through the support for editable and read-only business objects. 4 has now added on mobile object and data access concepts. 5 will complete the framework by discussing custom authentication and by covering a set of broadly useful base classes and objects that simplify the creation of business applications.

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Large memory allocations, however, tended to get a chunk of memory, use it, and then were done with it there was no need to cache this memory What Oracle needed was something similar to the Recycle and Keep buffer pools implemented for the block buffer cache This is exactly what the Large pool and Shared pool are now The Large pool is a Recycle-style memory space, whereas the Shared pool is more like the Keep buffer pool if people appear to be using something frequently, then you keep it cached Memory allocated in the Large pool is managed in a heap, much in the way C manages memory via malloc() and free() As soon as you free a chunk of memory, it can be used by other processes In the Shared pool, there really was no concept of freeing a chunk of memory.

As discussed earlier in the chapter, it is possible to deploy the same logical layer onto multiple physical tiers. Using this idea, the Data Access layer can be put on an application server, and the Business Logic layer on both the client workstation and the application server, as shown in Figure 1-4.

You would allocate memory, use it, and then stop using it After a while, if that memory needed to be reused, Oracle would age out your chunk of memory The problem with using just a Shared pool is that one size doesn t always fit all..

because it does not contain any instance members. This is, however, not the case, and you are able to create an instance of the class. Probably Microsoft simply forgot to mark the class as static.

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