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Presentation and business tiers should not depend on the persistence mechanism You should keep the business model and the presentation independent of the internal details of the persistence Ideally, you should be able to replace the persistence mechanism or the database without affecting the other tiers In a classical distributed architecture, the persistence layer of a Web application separates the model objects from the datastore The business tier uses the persistent layer to access the data By using this layer, the business tier does not need to know whether a database or a file is used to store objects The implementation of the persistence tier will differ for a relational database, an XML store, or an object database The persistence layer accesses these datastores without exposing the details of their technology to the rest of the application The details of datastore-specific mechanisms and languages, such as SQL, are cleanly abstracted away from the business logic This way you can change the persistence implementation without affecting the rest of the application Persistence layer APIs must be transparent and simple to access Recall the discussion in 8 The data layer interfaces abstract the datastore (see the section, The Data Access Layer) from the details of storage technologies, such as SQL, and object-mapping technologies from the business tier A simple persistence layer API can be summarized as having the following set of operations:

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Looking at the code for our RingServer, it should quickly leap out at you that we are making DRb calls Why is that, you might ask Simple Rinda sits on top of the DRb library This is great news for us, because we already understand how to use DRb When we see lines like DRbstart_service and DRbthreadjoin, we already know what they do That allows us to focus on the actual RingServer portion of this code First we need to require the Rinda libraries In particular, we need to require rinda/ring and rinda/tuplespace Once we ve done that and started the DRb service, we can start our RingServer with the following line:

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By saying that x is static, we are saying that we want to allocate it once, and only once, at some point before the first time that pointer_to_static is ever called, and that we do not want to deallocate it as long as our program runs There is nothing wrong with returning the address of a static variable; the pointer will be valid as long as the program runs, and it will be irrelevant afterward However, static allocation has the potential disadvantage that every call to pointer_to_static will return a pointer to the same object! Suppose we want to define a function such that each time we call it, we get a pointer to a brand new object, which stays around until we decide that we no longer want it To do so, we use dynamic allocation, which we request by using the new and delete keywords

Create, read, update, and delete (CRUD) operations for persistent objects defined in the business layer Create and run queries; encapsulate query languages Manage connections, transactions, caching, performance, and object identity

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If T is the type of an object, new T is an expression that allocates an object of type T, which is default-initialized, and yields a pointer to this (unnamed) newly allocated object It is possible to give a specific value to use when initializing the object by executing new T(args) The object stays around until the program either ends or executes delete p (whichever happens first), where p is (a copy of) the pointer returned by new In order to delete a pointer, the pointer must point to an object that was allocated by new, or be equal to zero Deleting a zero pointer has no effect As an example,

Rinda::RingServernew(Rinda::TupleSpacenew)

In this chapter we will look at the most common type of persistence mechanism used for Java objects: relational databases When you use relational databases, you need to translate Java objects into database tables, columns, and records as well as translate relationships, such as inheritance, dependencies, and references, into additional columns or tables The following practical designs are available for building a persistence layer (see Figure 91)

int* p = new int(42);

Use JDBC APIs to map objects to a database Use entity beans to map objects to a database Use object-relational frameworks to map objects to a database

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