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users may require more computing power, and scaling your application may be critical to the success of your project. NHibernate applications are naturally scalable that is, NHibernate behaves the same whether it s deployed to a single machine or to many machines. The only feature of NHibernate that must be configured specifically for clustered operation is the second-level cache. With a few changes to your cache configuration, you can use a clustered caching system. It isn t necessarily wrong to use a purely local (non cluster-aware) cache provider in a cluster. Some data especially immutable data, or data that can be refreshed by cache timeout doesn t require clustered invalidation and may safely be cached locally, even in a clustered environment. You may be able to have each node in the cluster use a local instance of SysCache, and carefully choose sufficiently short expiration values. But if you require strict cache consistency in a clustered environment, you must use a more sophisticated cache provider. Some distributed cache providers are available for NHibernate. You can consider the following:

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MemCache Released with NHibernate. It uses memcached, a distributed cache system available under Linux, so you can use it with Mono (or use the VMWare Memcached appliance under Windows). For more details, visit http:// www.danga.com/memcached/. Its NHibernate provider is the class NHibernate. Caches.MemCache.MemCacheProvider in the library NHibernate.Caches. MemCache.dll. NCache A commercial distributed cache provider. Its website is http:// www.alachisoft.com/ncache/. Microsoft Velocity A commercial distributed cache, currently in CTP2 (at technology preview stage).

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We don t dig into the details of these distributed cache providers. Distributed caching is a complex topic; we recommend that you read some articles about this topic and test these providers. Note that some distributed cache providers work only with some cache concurrency strategies. A nice trick can help you avoid checking your mapping files one by one. Instead of placing a [Cache] attribute in your entities or placing <cache> elements in your mapping files, you can centralize cache configuration in hibernate.cfg.xml:

<hibernate-configuration> <session-factory> <class-cache class="NHibernate.Auction.Model.Bid, NHibernate.Auction" usage="read-only"/> <collection-cache collection="NHibernate.Auction.Model.Item.Bids" usage="read-write"/> </session-factory> </hibernate-configuration>

You enable read-only caching for Bid and read-write caching for the Bids collection in this example. But be aware of one important caveat: at the time of this writing,

18:

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NHibernate will run 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 that you use the centralized cache configuration 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 centralized configuration. There is an optional setting to consider. For cluster cache providers, it may be better to set the NHibernate configuration option hibernate.cache.use_minimal_puts to true. When this setting is enabled, NHibernate adds an item to the cache only after checking to ensure the item isn t already cached. This strategy performs better if cache writes (puts) are much more expensive than cache reads (gets). This is the case for a replicated cache in a cluster, but not for a local cache (the default is false, optimized for a local cache). Whether you re using a cluster or a local cache, you sometimes need to control it programmatically for testing or tuning purposes.

NHibernate has some useful methods that will help you test and tune your cache. You may wonder how to disable the second-level cache completely. NHibernate loads the

cache provider and starts using the second-level cache only if you have any cache declarations in your mapping files or XML configuration file. If you comment them out, the cache is disabled. This is another good reason to prefer centralized cache configuration in hibernate.cfg.xml. Just as the ISession provides methods for controlling the first-level cache programmatically, so does the ISessionFactory for the second-level cache. You can call Evict() to remove an element from the cache, by specifying the class and the object identifer value:

The Style Builder dialog box looks like this:

SessionFactory.Evict( typeof(Category), 123 );

You can also evict all elements of a certain class or evict only a particular collection role:

SessionFactory.Evict( typeof(Category) );

3. Click OK. Your screen looks like this:

You ll rarely need these control mechanisms; use them with care, because they don t respect any transaction isolation semantics of the usage strategy.

Summary

This chapter was dedicated to transactions (fine-grained and coarse-grained), concurrency and data caching. You learned that for a single unit of work, either all operations should be completely successful or the whole unit of work should fail (and changes made to persistent state should be rolled back). This led us to the notion of a transaction and the ACID attributes. A transaction is atomic, leaves data in a consistent state, and is isolated from concurrently running transactions, and you have the guarantee that data changed by a transaction is durable.

Part V:

Summary

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