Hibernate is an Object/Relational Mapper tool. It's very popular among Java applications and implements the Java Persistence API.
Hibernate ORM enables developers to more easily write applications whose data outlives the application process.
Key Features Include:
- JPA Provider: In addition to its own "native" API, Hibernate is also an implementation of the Java Persistence API (JPA) specification. As such, it can be easily used in any environment supporting JPA including Java SE applications, Java EE application servers, Enterprise OSGi containers, etc.
- Idiomatic persistence: Hibernate enables you to develop persistent classes following natural Object-oriented idioms including inheritance, polymorphism, association, composition, and the Java collections framework. Hibernate requires no interfaces or base classes for persistent classes and enables any class or data structure to be persistent.
- Scalable: Hibernate was designed to work in an application server cluster and deliver a highly scalable architecture. Hibernate scales well in any environment: Use it to drive your in-house Intranet that serves hundreds of users or for mission-critical applications that serve hundreds of thousands.
- Reliable: Hibernate is well known for its excellent stability and quality, proven by the acceptance and use by tens of thousands of Java developers.
- Extensibile: Hibernate is highly configurable and extensible It can be altered to best suit specific needs and requirements.
As an Object/Relational Mapping (ORM) framework, Hibernate is concerned with data persistence as it applies to relational databases (via JDBC).
Exception messages when an Elasticsearch work fails are now a bit less verbose. In particular they don’t include the failing request anymore, because it can often be huge and ends up flooding the logs (especially due to request bulking). You can still log every Elasticsearch request as explained in the documentation.
Annotations in the default package will no longer make the annotation processing fail.
The CPU cost of static initialization of Hibernate Search loggers has been sensibly reduced, improving startup performance.
Custom bridges with specific dependencies such as Tika bridges can now be used in a modular environment such as WildFly.
Faceting queries will no longer fail when the index is empty or only contains documents without any value in the faceting field.
Boost is now consistently taken into account when building numeric or null encoding queries with the DSL.