

In this tutorial, we will focus on configuring Hibernate Search with Lucene as the search technology onto a Spring boot application. Lucene manages to do these tasks very efficiently, causing it to become not just popular, but also as the basic building block of numerous other systems, such as Elastic search, Apache Solr and many more. In other words, only the data that you marked for inclusion in the index will be available on these systems.Īpache Lucene is an opensource indexing and text search library. Hibernate Search will integrate the indexed data with these systems. Such technologies include Apache Lucene, Elastic Search and Solr. The second function that Hibernate Search performs is to integrate your application with other data indexing, search and analysis systems. For this, you can use certain annotations from Hibernate Search to mark that field for indexing. For example, you may decide to index the bank account numbers in your banking application, as it is an often searched term. When Hibernate Search is installed onto an application, it performs two functions.įirst, it provides an indexing API to be used for your indexing configuration. Import .Hibernate search is an opensource library that integrates easily with existing Hibernate ORM/JPA systems. Static void search() throws IOException Ĭopy import .Analyzer
#Apache lucene query example how to#
Specifically, the code shows you how to use Apache Lucene JoinUtil createJoinQuery(String fromField, boolean multipleValuesPerDocument, String toField, Query fromQuery, IndexSearcher fromSearcher, ScoreMode scoreMode)


The following code shows how to use JoinUtil from .join. IOException - If I/O related errors occur.The method createJoinQuery() throws the following exceptions: The method createJoinQuery() returns a Query instance that can be used to join documents based on the terms in the from and to field ScoreMode scoreMode - Instructs how scores from the fromQuery are mapped to the returned query.IndexSearcher fromSearcher - The searcher that executed the specified fromQuery.Query fromQuery - The query to match documents on the from side.String toField - The to field to join to.boolean multipleValuesPerDocument - Whether the from field has multiple terms per document.String fromField - The from field to join from.The method createJoinQuery() has the following parameter: The method createJoinQuery() from JoinUtil is declared as:Ĭopy public static Query createJoinQuery( String fromField, boolean multipleValuesPerDocument, String toField, Query fromQuery, IndexSearcher fromSearcher, ScoreMode scoreMode) throws IOException When scoreMode is set to ScoreMode#Avg also an additional integer value is kept in memory per unique Isn't set to ScoreMode#None a float value per unique join value is kept in memory for computing scores. Memory considerations: During joining all unique join values are kept in memory. Obviously thisĭoesn't apply in the case that ScoreMode#None is used, since no scores are computed at all. The score from the first encountered join value originating from the 'from' side is mapped into the 'to' side.Įven in the case when a second join value related to a specific document yields a higher score. When the multipleValuesPerDocument is set to true only the In the case a single document relates to more than one document the multipleValuesPerDocument option To field that match with documents matching the specified fromQuery and have the same terms in the from field. Execute the returned query with a IndexSearcher to retrieve all documents that have the same terms in the
