It’s finally here! We just published the first candidate release of Hibernate Search with experimental Elasticsearch integration (5.6.0.CR1), along with 5.7.0.Beta2.
Version 5.6.0.CR1 brings the latest bugfixes and previously missing features for our experimental Elasticsearch integration. This is the version to use with Hibernate ORM versions 5.0 and 5.1.
Version 5.7.0.Beta2 brings the exact same changes as 5.6.0.CR1, and it still features the compatibility with Hibernate ORM version 5.2 that was introduced with 5.7.0.Alpha1.
Today we are releasing two new versions of Hibernate Search: 5.6.0.Beta4 and 5.7.0.Beta1!
Version 5.6.0.Beta4 brings the latest bugfixes and previously missing features for our experimental Elasticsearch integration. This is the version to use with Hibernate ORM versions 5.0.x and 5.1.x.
Version 5.7.0.Beta1 brings the exact same changes as 5.6.0.Beta1, but on top of the compatibility with Hibernate ORM version 5.2.x that was introduced with 5.7.0.Alpha1.
Today we have three releases of Hibernate Search!
I’m proud to announce our team is a bit larger nowadays, and more contributors are volunteering too, so we managed to increase the development pace. Today we release version
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This summer was relatively quiet in terms of releases, but many have been testing and improving the Beta1 release of our Hibernate Search / Elasticsearch integration.
So today we release version
5.6.0.Beta2 with 45 fixes and enhancements!
For a detailed list of all improvements, see this JIRA query.
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After over 60 resolved tasks, we’re proud to release Hibernate Search version 5.6.0.Beta1.
The Elasticsearch integration made significant progress, and we believe it to be ready for wider usage.
Having fixed several issues and tasks since the previous milestone, it’s time to publish our third milestone towards Elasticsearch integration: Hibernate Search version 5.6.0.Alpha3 is now available!
"When running a full-text query with a projection of fields, is it possible to return the result as a list of POJOs rather than as a list of arrays of
The answer is: Yes, it is possible, result transformers are the right tool for this.
Today we’re proud to announce the first Alpha release sporting experimental integration with Elasticsearch!
We also updated to use Apache Lucene 5.5 - the latest stable release of our favourite search engine - as of course we’re not abandoning our traditional users!