Web hosting companies - Caching in practice scalable: No Hibernate aspect limits

Caching in practice scalable: No Hibernate aspect limits the nodes on which your application is deployed. With a few changes to your cache setup, you may even use a clustered caching system. We recommend JBoss Cache, a cluster-safe caching system based on TreeCache and the JGroups multicast library. JBoss Cache is extremely scalable and cluster communication can be tuned in any way imaginable. We now step through a setup of JBoss Cache for CaveatEmptor for a small cluster of two nodes, called node A and node B. However, we only scratch the surface of the topic, cluster configurations are by nature complex and many settings depend on the particular scenario. First, you have to check that all the mapping files use read-only or transactional as a cache concurrency strategy. These are the only strategies supported by the JBoss Cache provider. There is a nice trick that helps avoiding this search and replace problem in the future. Instead of placing elements in your mapping files, you can centralize cache configuration in your hibernate.cfg.xml:
You enabled transactional caching for Item and the bids collection in this example. However, there is one important caveat: At the time of writing, Hibernate runs into a conflict if you also have elements in the mapping file for Item. You therefore can t use the global configuration to override the mapping file settings. We recommend using the centralized cache configuration right from the start, especially if you aren t sure how your application may be deployed. It s also easier to tune cache settings with a single configuration location. The next step to the cluster setup is the configuration of the JBoss Cache provider. First, you enable it in the Hibernate configuration for example, if you aren t using properties, in hibernate.cfg.xml:
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