Pof.c

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Serialization is the process of encoding an object into a binary format. It is a critical component to working with Coherence as data needs to be moved around the network. POF was designed to be incredibly efficient in both space and time and has become a cornerstone element in working with Coherence. There are several options available with respect to serialization including standard Java serialization, POF, and your own custom serialization routines. Each has their own trade-offs.

Standard Java serialization is easy to implement, supports cyclic object graphs and preserves object identity. Unfortunately, it's also comparatively slow, has a verbose binary format, and restricted to only Java objects. It's very efficient, in a simple test class with a String , a long , and three ints , de serialization was seven times faster, and the binary produced was one sixth the size compared with standard Java serialization. It's indexed which allows for extracting values without deserializing the whole object.

POF requires you to implement serialization routines that know how to serialize and deserialize your objects. There are two ways to do this:. Have your objects implement the com. PortableObject interface. Implement a serializer for your objects using the com. PofSerializer interface. As mentioned above, POF elements are indexed. This is accomplished by providing a numerical index for each element that you write or read from the POF stream.

It's important to keep in mind that the indexes must be unique to each element written and read from the POF stream, especially when you have derived types involved because the indexes must be unique between the super class and the derived class. Example is a simple example of implementing the PortableObject interface:. Example Implementation of the PortableObject Interface.

The PofSerializer interface provide you with a way to externalize your serialization logic from the classes you want to serialize. This is particularly useful when you don't want to change the structure of your classes to work with POF and Coherence. The PofSerializer interface is also made up of two methods:. As with the PortableObject interface, all elements written to or read from the POF stream must be uniquely indexed. Below is an example implementation of the PofSerializer interface:.

Example Implementation of the PofSerializer Interface. When assigning POF indexes to your object's attributes, it's important to keep a few things in mind:. Order your reads and writes: you should start with the lowest index value in your serialization routine and finish with the highest. When deserializing a value, you want to read in the same order you've written.

When Subclassing reserve index ranges: index's are cumulative across derived types. As such, each derived type must be aware of the POF index range reserved by its super class. Don't re-purpose your indexes: if you ever want Evolvable support, it's imperative that you don't re-purpose the indexes of your attributes across class revisions. Label your indexes: if you label your indexes with a public static final int , it will be much easier to work with the object, especially when using PofExtractors and PofUpdaters.

Coherence provides a ConfigurablePofContext class which is responsible for mapping a POF serialized object to an appropriate serialization routine either a PofSerializer or by calling through the PortableObject interface.

Once your classes have serialization routines, they must be registered with the ConfigurablePofContext. The type-id for each class must be unique, and must match across all cluster instances including extend clients. Using POF has many advantages ranging from performance benefits to language independence. It's recommended that you look closely at POF as your serialization solution when working with Coherence. For information on how to work with POF in.

NET, see "Configuration and Usage for. The Portable Object Format on the other hand has the following advantages: It's language independent with current support for Java,. It's versionable, objects can evolve and have forward and backward compatibility. It supports the ability to externalize your serialization logic. Working with POF POF requires you to implement serialization routines that know how to serialize and deserialize your objects.

There are two ways to do this: Have your objects implement the com. Implementing the PofSerializer interface: The PofSerializer interface provide you with a way to externalize your serialization logic from the classes you want to serialize. Assigning POF indexes When assigning POF indexes to your object's attributes, it's important to keep a few things in mind: Order your reads and writes: you should start with the lowest index value in your serialization routine and finish with the highest.

The following is an example of what a pof-config. If you look closely you'll see that the user-type-list includes the coherence-pof-config.

This is where the Coherence specific user types are defined and should be included in all of your POF configuration files. Summary Using POF has many advantages ranging from performance benefits to language independence.

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Serialization is the process of encoding an object into a binary format. It is a critical component to working with Coherence as data needs to be moved around the network.

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