![]() On top of the generated indexes, it can be quite easy to perform data mining, document similarity search, etc. In order to achieve this great functionalities, Hibernate search creates and uses indexes on the fields which will be part of your searches, however the great news is that, once you have created your index, Hibernate will handle all future index udates.īy default, every time an object is inserted, updated or deleted through Hibernate, Hibernate Search updates the according Lucene index. ![]() On the other hand, when using Hibernate Search you can provide “google like” on field input texts which intelligently matches different fields or even Entity types implementing such a feature with Criteria or SQL is a madness of complexity and won’t get you as good results. This query might perform badly if the amount of data to retrieve is quite large and the attributes searched are not indexed on DB. List userList = tParameter("email", "john%").list() For example, consider the following example: Query query = sessionFactory.getCurrentSession().createQuery("from User u where u.email like :email") Traditional Query/Criteria work well in most cases, provided that you know its limitations. Hibernate search futher address some shortcomings of Apache Lucene since it takes care of index synchronization and manages correctly the transformation from free text queries to domain objects.īefore diving into a simple example we will address a common newbie question: why do we need using Hibernate Search ? couldn’t we just use the great Criteria API or plain Queries ? Hibernate search can be used to apply the powerful full text search engines (like Apache Lucene) to your applications. In this tutorial we will show how we can upgrade our JPA + Maven application by adding Hibernate search functionalities.
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