Bio
Sanne is the technical lead of the Hibernate team at Red Hat, where he is an Architect in the engineering department. He works across all Hibernate projects and Quarkus, helping define team priorities; works on performance and benchmarks, tries to mediate the needs of the OSS community and the business requirements which fund the project, while balancing innovation with the requirements of established users. He also likes to contribute to many other OSS projects, such as Infinispan, Wildfly, Lucene, Elasticsearch, GraalVM and OpenJDK - and many others, depending on the needs of our community and our projects. He lived in Holland, Italy, the Dominican Republic, Chile, Portugal; currently resides in the UK; loves OSS and socializing with other developers to improve all and any OSS project.
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We did a big refactoring of the query engine, hence the alpha tag. If you could focus your tests in this area and see if there are any issues, we would be forever grateful.
One of the points for using Hibernate Search is that your valued business data is stored in the database: a reliable transactional and relational store. So while Hibernate Search keeps the index in sync with the database during regular use, in several occasions you'll need to be able to rebuild the indexes from scratch:
