As we're approaching the home stretch of the Spring Data release train currently in development, I think it's time to give you a brief overview of some of the new features we're going to introduce with this release.

In case you're not aware yet, the release train is a coordinated release of multiple Spring Data modules to make sure they work seamlessly out of the box. The current one is named after the inventor of the relational model Edgar F. Codd.

Spring Data Commons

As the Spring Data Commons module creates the foundation for all of the other modules contained in the release train, new…

On behalf of Michael Nitschinger I'm pleased to announce the availability of the first release candidate of the Spring Data module for Couchbase.

The highlights of this release are (usual bugfixes and stability improvements aside) the support for custom repository queries backed by views, the possibility to customize view queries through the @View annotation and @Version support on entities for optimistic locking. Also - when XML configs are used - the beans can now be configured through SpEL expressions. This RC1 release is available from the Spring IO milestone repository. The complete changelog can be found here…

The Spring Data team has just released the second service release for the Babbage release train. It includes the following modules:

• Spring Data Commons 1.6.3 - Changelog - JavaDoc - Artifacts
• Spring Data JPA 1.4.3 - Changelog - JavaDoc - Artifacts
• Spring Data MongoDB 1.3.3 - Changelog - JavaDoc - Artifacts
• Spring Data Neo4j 2.3.3 - Changelog - JavaDoc - Artifacts

The release bundles a bunch of important enhancements and bug fixes and is a recommended upgrade. You can find all issues fixed in this release in our JIRA.

The next step will be the second milestone of the Codd release train. More details about that here…

I am happy to announce the first milestone of the next Spring Data release train named Codd. We welcome two new members to the train: the Spring Data Solr community project as well as Spring Data REST. We've fixed 109 tickets for this first milestone. The full list of participating modules looks as follows:

• Spring Data Build 1.3 M1 - Changelog
• Spring Data Commons 1.7 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data JPA 1.5 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data MongoDB 1.4 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data Neo4j 3.0 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data Solr 1.1 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data REST 2.0 M1 - Artifacts - JavaDoc - Documentation - Changelog
…

On behalf of module lead Michael Nitschinger, I am pleased to announce the availability of milestone two of the Spring Data module for Couchbase.

This new release brings both feature enhancements and bugfixes, taking the library full steam to a release candidate soon. Highlights of this release are custom @View annotations on repository finder methods and better marshaling support for dates, enums and class types. Also, the underlying Couchbase Java Client has been updated to the latest 1.2.2 versions, bringing better rebalance stability and performance improvements. This M2 release is available from the Spring IO milestone repository…

The Spring Data team has just released the first service release for the Babbage release train. It includes the following modules:

• Spring Data Commons 1.6.2 - Changelog - JavaDoc - Artifacts
• Spring Data JPA 1.4.2 - Changelog - JavaDoc - Artifacts
• Spring Data MongoDB 1.3.2 - Changelog - JavaDoc - Artifacts
• Spring Data Neo4j 2.3.2 - Changelog - JavaDoc - Artifacts

The release bundles a bunch of important enhancements and bug fixes and is a recommended upgrade. You can find all issues fixed in this release in our JIRA.

The next step will be a first milestone of the Codd release train with a few great new features, especially for the MongoDB module. More details about that here…

The Spring Data team has just released the final service release for the Arora release train. SR3 includes the following modules:

• Spring Data Commons 1.5.3 - Changelog - JavaDoc - Artifacts
• Spring Data JPA 1.3.5 - Changelog - JavaDoc - Artifacts
• Spring Data MongoDB 1.2.4 - Changelog - JavaDoc - Artifacts
• Spring Data Neo4j 2.2.3 - Changelog - JavaDoc - Artifacts

In it's core the release includes all bug fixes made between Babbage RC1 and GA that were candidates for back porting. It's a recommended update for all users on Arora that cannot upgrade to Babbage for whatever reason.

The third service release is the last release for Arora. The Spring Data team is now focussing on the development of the first milestone for the upcoming release train called Codd as well as service releases for Babbage. You can find an overview of the further release planning…

Hot on the heals of the Spring Data Babbage GA release I am happy to announce the availability of two community driven Spring Data modules, namely the first milestone of Spring Data Couchbase lead by Michael Nitschinger and the 1.0 GA of Spring Data Solr lead by Christoph Strobl.

The first milestone release of the Couchbase module contains lots of features that allow you to build content driven and scalable applications on top of Couchbase and spring-data very quickly. This release features support for templates, repositories, Java and XML-style configuration. Entities are automatically converted into JSON documents, which can be queried from Couchbase and exported through scalable map/reduce views. In addition to that, the release contains support for @Cacheable…

Dear Spring community, just in time for SpringOne 2013, we are happy to announce the availability of the GA version of the Spring Data release train code named Babbage. The release concludes the development of a pile of new features and improvements for the Spring Data Core, JPA, MongoDB and Neo4j modules and will serve as foundation for upcoming releases of a bunch of community modules. Here are the most important features of the release.

General upgrades / Spring Data Commons:

• Spring 4 and JDK 8 compatibility improvements in Spring Data Core to leak into all modules
• Extended Pageable/Page APIs
• Advanced web and hypermedia integration for Spring MVC
• Support for count…By in derived query method names of repositories
• Upgrade to Querydsl 3.x timeline
• Improved CDI extensions for all modules
…

I am pleased to announce the first and final release candidate of the Babbage episode of the Spring Data release train. I consists of the following modules:

• Spring Data Commons 1.6 RC1 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 1.4 RC1 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data MongoDB 1.3 RC1 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Neo4j 2.3 RC1 - Artifacts - JavaDocs - Documentation - Changelog

The release forms a significant milestone towards the GA releases expected around SpringOne this year. We added support for the MongoDB Aggregation Framework and improved the execution of polymorphic queries. On the JPA side of things we introduced support to use SpEL expressions in manually defined queries, improved the handling of entities using @IdClass and now allow to define the Date binding for repository query parameters using @TemporalType. The Neo4j module added support for countBy(…) queries and type safe query execution for repositories. You can find a more detailed list of features at the wiki page summarizing the Babbage content.

This release is the perfect time to play with the new features and report back your experiences before we turn it to a GA release in a few weeks. We'd be happy to hear your opinions in the forums or in the bug tracker in case you run into any issues.

If you want to learn more about Spring Data or the Spring eco-system in general, the upcoming SpringOne conference in Santa Clara, CA is the perfect time and place to be. Checkout the schedule and register!