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Mapping more advanced data structures
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It s worth noting that collections are flattened during the denormalization process. In our example this means that the names of all actors associated with a given item are stored and indexed in a single field, actors.name. What are the consequences In theory, it limits some of the query s expressibility. In practice, this should not affect you too much. With this model, it s possible to express queries such as returning the items where:
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Both Cruise and McGillis are in the movie. One of the actors is either Cruise or McGillis. Cruise is in the movie but not McGillis.
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You won t be able to express queries involving a correlation between two properties of a given entity in a collection. Let s imagine that Actor has a homeTown property. You won t be able to express a query like "return items where one of the actors is Tom and his hometown is Atlanta". The reason is that the whole collection of data is seen as a single element. Don t give up, though. It s often possible to either:
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Turn the query upside down by targeting actor as the root entity, then collecting the matching items. Use a query filter to refine an initial query (see chapter 8).
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I tried but cannot find a way around the collection limits
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Sometimes you ll end up at a dead-end. No matter how hard you try, you won t be able to express the query in Lucene. Good advice here is to step back and see if an HQL query could do the job. Full-text searching is like a new toy in the beginning. You ll be tempted to use it more than necessary. Always remember that you can go back to plain HQL or work in a three-step process: Apply part of the query (the discriminant part) in Lucene, collect the matching identifiers, and run an HQL query that restricts by these identifiers and some other criteria.
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It would be quite disastrous to index the entire object graph every time a root object is indexed. The index would be quite big, indexing would be long, and the index would be polluted with tons of not so-useful information. Just like property indexing, Hibernate Search uses an opt-in approach: In the mapping you decide which associated object or collection needs to be indexed based on the type of queries you need to perform. The rest of the chapter will show how to map associations. We ll start with a simple case: embedded objects.
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Mapping relationships between entities
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Indexing embedded objects
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Embedded objects in Java Persistence (they re called components in Hibernate) are objects whose lifecycle entirely depends on the owning entity. When the owning entity is deleted, the embedded object is deleted as well. Let go back to our DVD store example. A DVD is rated. Rating has several dimensions: scenario, soundtrack, picture, and of course an overall rating. A rating doesn t make sense without a DVD, so we ll model it as an embedded object. To index the associated Rating object, simply place @IndexedEmbedded on the association and mark the Rating properties for indexing. The name @IndexedEmbedded is derived from the operation performed; we embed the indexing information in the main document. Listing 4.9 describes how to declare an object as embedded in the index.
Listing 4.9 Using @IndexedEmbedded objects in the same Lucene document Mark properties for indexing
@Embeddable public class Rating { @Field(index=Index.UN_TOKENIZED) @Field(index=Index.UN_TOKENIZED) @Field(index=Index.UN_TOKENIZED) @Field(index=Index.UN_TOKENIZED) ... }
private private private private
Integer Integer Integer Integer
overall; scenario; soundtrack; picture;
@Entity @Indexed public class Item { @IndexedEmbedded private Rating rating; ... }
B association for indexing
Add new field to Mark the
When Hibernate Search finds an @IndexedEmbedded annotation on rating B, it processes the Rating properties and indexes each property marked with an @Field annotation (or an @IndexedEmbedded annotation). It also executes each class-level bridge present on the Rating object. There s a small difference: Each field name in the Lucene index is prefixed with the name of the association and a dot, rating. in our example. The Lucene document contains rating.overall, rating.scenario, rating.soundtrack, and rating.picture. This approach makes queries smell like regular object property navigations. If the association isn t marked with @IndexedEmbedded, it s ignored. Sometimes the field prefix generated by Hibernate Search doesn t match your expectations because you re mapping to an existing index, or your index-naming conventions are different, or your taste is different. The prefix attribute lets you control the prefix used to index properties of the associated objects. Note that in listing 4.10 queries need to target rate_overall rather than rating.overall. The dot is part of the default prefix and disappears when overridden.
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