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Listing 6.15 Using the total number of results to adjust a query
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//Hibernate Core public int displayResultSizeByMatchingTitle(String words) { FullTextSession ftSession = SessionHolder.getFullTextSession(); org.apache.lucene.search.Query luceneQuery = buildLuceneQuery( words, Item.class ); FullTextQuery query = ftSession.createFullTextQuery( luceneQuery, Item.class ); return query.getResultSize(); }
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Number of matching results (cheap)
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public ResultHolder displayResultsAndTotalByMatchingTitle( String words, int pageNumber, int window) { FullTextSession ftSession = SessionHolder.getFullTextSession(); org.apache.lucene.search.Query luceneQuery = buildLuceneQuery( words, Item.class ); FullTextQuery query = ftSession.createFullTextQuery( luceneQuery, Item.class ); @SuppressWarnings("unchecked") List<String> results = query .setFirstResult( (pageNumber - 1) * window ) .setMaxResults( window ) Return .list(); matching results
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D Return total number of
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int resultSize = query.getResultSize();
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ResultHolder holder = new ResultHolder( results, resultSize ); return holder; } public class ResultHolder { private final List<String> results; private final int resultSize; public ResultHolder(List<String> results, int resultSize) { super(); this.results = Collections.unmodifiableList( results ); this.resultSize = resultSize; } public List<String> getResults() { return results; } public int getResultSize() { return resultSize;
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} } //Java Persistence public int displayResultSizeByMatchingTitle(String words) { FullTextEntityManager ftEntityManager = EntityManagerHolder.getFullTextEntityManager(); org.apache.lucene.search.Query luceneQuery = buildLuceneQuery( words, Item.class ); FullTextQuery query = ftEntityManager.createFullTextQuery( luceneQuery, Item.class );
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return query.getResultSize(); }
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FullTextQuery.getResultSize() executes the Lucene query without loading objects or Lucene Documents. C When list() is executed, the result size is computed and available. D Subsequent getResultSize() calls no longer trigger a query. E Java Persistence s FullTextQuery also contains the getResultSize() method. If you call only FullTextQuery.getResultSize(), the Lucene query is executed, but no Lucene document is accessed and no object is loaded from the persistence context. The result is not influenced by pagination. This is a very powerful and efficient tool for building a multistage search engine, and we ll cover it next.
If you want both the total number of results and the (paginated) list of results, call list(), scroll(), iterate(), and getResultList() before calling getResultSize() on the same query object. This uses one Lucene query instead of two.
This feature can be used beyond displaying the total number of results to your user. Let s explore an interesting example.
Multistage search engine
A multistage search engine executes one query per stage. Subsequent stages remove restrictions on the user query or increase the targeted elements. Figure 6.2 illustrates the process of a multistage search engine. For each stage in the search engine, getResultSize() is executed on the FullTextQuery object. If the number of results doesn t match expectations, the next stage is processed. If the next stage meets the requirements, list() is executed on the FullTextQuery object, and the results are returned. Each stage executes a broader query to gather additional results. Now that we ve selected the appropriate amount of results to display to the user, we need to decide what to display. Sometimes loading the whole object (graph) to display two simple properties is overkill. Projection is helpful in such situations.
Querying with Hibernate Search
Example of multistage search engine
Projection properties and metadata
In Hibernate Core, a projection query is a query that returns some properties rather than the full managed object. Properties are projected to the result set. Projection queries are exactly the same in Hibernate Search. They are a way to retrieve some properties rather than the full managed object, the principal difference being that the data is retrieved from the Lucene index rather than from the database. If, after using pagination, you find that returning the hydrated object is still too slow for your needs, projection might give you what you expect performance-wise. But projecting a property requires some advance preparation. Because the value is extracted from the index and pushed to the query results, projected properties must be stored, and their associated field bridges must be two-way. All built-in bridges provided by Hibernate Search are two-way: They convert the data back and forth between the object model and the index (see section 4.1).
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