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Defining and using a filter
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while disabling result caching with the following declaration: @FullTextFilterDef(cache=FilterCacheModeType.INSTANCE_ONLY). Finally, on rapidly changing data sets or a heavily memory-constrained environment, it might not be necessary to cache filters at all. Likewise, if the filter factory dynamically chooses one filter implementation over another at runtime, caching Filter instances is not an option. Instead, use the following declaration: @FullTextFilterDef(cache=FilterCacheModeType.NONE).
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For Hibernate 3.0 users, Hibernate Search did not have the second level of caching, and so results were not kept around. If you wish to cache results, make sure you manually cache filter BitSets. To enable instance caching in Hibernate Search 3.0, use @FullTextFilterDef (cache=true).
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By default, Hibernate Search caches the last 128 instances of filters used (using a most-recently-used algorithm). Additional filter instances are added to a soft reference cache. If you need to reclaim memory, the virtual machine can release those additional instances. You can adjust the number of instances that will not be reclaimed by using the following property in your configuration file: hibernate.search.filter.cache_strategy.size. For each filter instance, and if you ve kept result caching enabled, Hibernate Search caches the last five results used (using a most recently-used algorithm). Additional DocIdSet results are added to a soft reference cache. The garbage collector can reclaim these results to save memory. You can adjust the number of results not reclaimed by using hibernate.search.filter.cache_bit_docidresults.size. If the idea of a hard-reference-capped cache overflowing to a soft-reference-based cache is not your cup of tea, you can provide you own caching strategy by implementing the FilterCachingStrategy interface and declaring it in your configuration file, as shown here:
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hibernate.search.filter.cache_strategy = com.manning.hsia.dvdstore.util.NeverReleasedFilterCachingStrategy
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Hibernate brings additional flexibility compared to a plain Lucene filter.
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If you pay close attention to listing 8.3, you ll realize that this approach is not very flexible when the application needs to deal with more than a handful of distributors. Writing one class per specific distributor is not very appealing and simply does not work if the list of distributors is not known at development time. Hibernate Search can inject parameters into a filter when the filter is enabled on a query, as we ll show in the next section. Each parameter has a name and a value. For each parameter provided, the Filter implementation (or the Filter factory implementation if you use the factory strategy) must have a corresponding setter in order for Hibernate Search to inject it.
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Filters: cross-cutting restrictions
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Using parameters in filters has consequences on filter caching. A filter that receives two different sets of parameters should return a different DocIdSet instance. Let s say the parameter represents the security level the user is allowed to access, and different security levels should restrict different sets of documents and return different DocIdSets. When your filter receives parameters and you use caching (the default in @FullTextFilterDef), you need to give Hibernate Search a way to recognize whether two filters can be considered equal if two filters share the same class and have been initialized with the same set of parameters. Each instance of Filter is cached by FilterKey in the Hibernate Search Filter cache. By default, Hibernate Search caches filters by class. The FilterKey implementation ensures that the equals() and hashCode() methods consider equal two Filter instances of the same class. You should provide your own implementation of FilterKey that will ensure that two Filter instances are cached under the same key when they re from the same type and if their significant parameters are equal. While you can subclass the FilterKey class yourself, Hibernate Search provides a default implementation that compares parameters using equals()/hashCode() for each parameter value. The default implementation provided by StandardFilterKey is used in listing 8.4 to ensure that distributor filters are cached per category. This implementation should be good enough for most use cases. The method generating the FilterKey is annotated with @Key. The key implementation ensures that each filter is cached by its category parameter.
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