Hello world!(still looking for that better greeting...), It has become a recurrent topic here in the blog, ok, this is the first post and nothing is recurrent, however I hope it will be.
POF is probably the most used type of serialization for coherence, because of its performance (it is around 10-12 times faster, which saves a lot on CPU cycles and the generated Binaries are about six times smaller than in normal serialization.) is far better than normal java serialization, however POF requires some configuration and implementation, as explained in the documentation.
Another factor that need to be considered is the maintenance cost to the development process. It is important to make sure that mappings are up-to date to avoid, at best wasting time to fix something and at worst ending up with missing data or inverting two fields.
Proposed solutions:
The easiest and crudest way to do this is to simply have a unit test that puts all of your objects to their respective caches, then gets them and compares them to assert if they are equal. This however will take some time, as you must start a cache server, and, for these tests to be effective they must always be run at build time, and as you add more domain classes this will increase even more and your co-workers will no doubt plot to murder you.
When you are testing POF there is something simpler you can do, something I picked up from Dr. Alberto Forti on a project we worked together a while ago.
You can easily create and use the configurable POF context directly. The ability to do that also opens up some interesting possibilities in using POF with external systems, a topic I will cover on a later post.
Below is an example of a unit test using Configurable POF context:
