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You disable the disk-based cache in this example because you anticipate that the application server will be deployed to the same machine as the database If the expected physical architecture was different, you might enable the disk-based cache to reduce network traffic Accessing data on the local disk is faster than accessing the database across a network Optimal cache eviction policies are, as you can see, specific to the data and application You must consider many external factors, including available memory on the application server machine, expected load on the database machine, network latency, existence of legacy applications, and so on Some of these factors can t be known at development time, so you often need to iteratively test the performance impact of different settings in the production environment or a simulation.

Installing the Java SDK on a path without spaces in it, such as c:\java\ jdk, instead of a path such as c:\Program Files\Java is highly recommended, as sometimes spaces confuse Ant and other programs.

We consider optimization with the second-level cache something you won t do during development, because testing without real datasets and concurrency doesn t show the final performance and scalability of the system This is especially true in a more complex scenario, with a replicated cache in a cluster of machines..

After installing the SDK, Ant requires the environment variable JAVA_HOME be set to the directory into which the SDK was installed. It is also usual to append

EHCache is an excellent cache provider if your application is deployed on a single virtual machine. However, enterprise applications supporting thousands of concurrent users may require more computing power, and scaling your application may be critical to the success of your project. Hibernate applications are naturally

JAVA_HOME\bin to the PATH environment variable, so that you can run the SDK s programs from the command line. Some Ant tasks depend upon this, since they rely on these very same programs. The standard test for the Java SDK being installed is that typing javac from a command line should bring up a usage message, not an error about the command being unknown.

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 <cache> elements in your mapping files, you can centralize cache configuration in your hibernate.cfg.xml:

The core stages of the Ant installation process are the same regardless of the platform:

<hibernate-configuration> <session-factory> <property .../> <mapping .../> <class-cache class="org.hibernate.auction.model.Item" usage="transactional"/> <collection-cache collection="org.hibernate.auction.model.Item.bids" usage="transactional"/> </session-factory> </hibernate-configuration>

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 <cache> 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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JBoss Cache has its own configuration file, treecache.xml, expected in the classpath of your application. In some scenarios, you need a different configuration for each node in your cluster, and you must make sure the correct file is copied to the classpath on deployment. Let s look at a typical configuration file. In the two-node cluster (named MyCluster), this file is used on node A: