I am pleased to announce the availability of the second service release of the Spring Data Arora release train. It includes quite a few significant bug fixes that we have already released in the first milestone for the Babbage release train. To makethem available in an official release, we backported them into this one here. The modules included are:

• Spring Data Commons 1.5.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 1.3.4 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data MongoDB 1.2.3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Neo4j 2.2.2 - Artifacts - JavaDocs - Documentation - Changelog

The artifacts are also available in Maven central. You find a comprehensive list of the 46 tickets resolved in our JIRA. The next release is going to be a release candidate for the Babbage release train in early August. You can find details for this release in the Spring Data Commons wiki.

If you want to learn more about the Spring Data family of projects, the best event to do is SpringOne 2013 being held in Santa Clara early September. Hope to see you there!

I am pleased to announce the first service milestone release for the Spring Data release train named Babbage. It includes the following modules:

• Spring Data Commons 1.6 M1 - Changelog
• Spring Data JPA 1.4 M1 - Changelog
• Spring Data MongoDB 1.3 M1 - Changelog
• Spring Data Neo4j 2.3 M1 - Changelog

The first milestone includes quite a few new features as well as all the bug fixes already released in the service release for Arora.

A quick tour through the release

Most of the changes of this release have made it into Spring Data Commons to build a solid foundation for the next generation of Spring Data projects and make sure that foundation matures fastly. The other modules released in this train station have been adapted to these changes and thus benefit from them as well.

We've upgraded to Querydsl 3.x APIs to accomodate the changes introduced in their major release. The repositories abstraction has added support for ordering ignoring case as well as count…By…(…) projection for derived queries…

I am pleased to announce the first themed release of the Spring Data release train named Arora. Going forward we'll use names of famous computer scientists to label a set of Spring Data modules to make it easier to identify modules being compatible to each other. This mostly refers to the Spring Data Commons version they refer to.

The Arora release contains the following modules:

• Spring Data Commons 1.5 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 1.3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data MongoDB 1.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Neo4j 2.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Redis 1.0.3 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Gemfire 1.3 M1 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Solr 1.0 RC1 - Artifacts - JavaDocs - Documentation - Changelog

The major new features of the release are:

• Annotation based auditing support through @CreatedDate, @CreatedBy etc. (except Spring Data Gemfire)
• Exposure of Spring Data Mapping information for all modules (to be used by Spring Data REST)
• Spring Data Mapping information being read from accessor methods as well
• Automatic registration of JodaTime Converters if present on classpath (Spring Data MongoDB)
• Major improvements to mapping subsystem and query execution for Spring Data MongoDB
• Extended querying options on query methods (Spring Data Solr)
• Annotation support for Gemfire functions (Spring Data Gemfire)
• A tag has been added to the gfe-data XML namespace for automatic basic client connection and region configuration. (Spring Data Gemfire)
• Support for Lettuce Redis driver (raising the count of supported driver to 5, Spring Data Redis)
• Dynamic removal of listener for running MesageListenerContainer (Spring Data Redis)
• Refined Maven build to ease release process

Alongside the new major versions of the Spring Data Modules we've also published bugfix releases for Spring Data Commons (1.4.1), Spring Data JPA (1.2.1) and Spring Data MongoDB (1.1.2).

Note: The artifactId of the Spring Data Commons module has changed to from spring-data-commons-core to spring-data-commons. So if you're explicitly referring to it from your project, make sure you update the reference accordingly.

The binaries will be present in Maven central shortly if not already in place.

I am pleased to announce the availablity of the first milestone of a Spring Data Solr project. It's the first community-driven Spring Data module lead by Christoph Strobl. It's essentially an implementation of the Spring Data repository API to access Solr stores and provides the same programming model you are already used to from Spring Data JPA, MongoDB, Neo4j and Gemfire. Beyond that Spring Data Solr provides a lower level SolrTemplate as well as abstractions to easily bootstrap an embedded Solr server.

Maven artifacts | JavaDocs | Reference Documentation | Changelog | JIRA

We looking forward to community-driven Spring Data module implementations for other stores. Please get in touch with us through the forums in case you'd like to see a particular store supported and can commit to actively maintaining the project.

Dear Spring community, I am pleased to announce the synced GA release of the following modules:

• Spring Data Commons 1.4 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 1.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data MongoDB 1.1 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Neo4j 2.1 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Gemfire 1.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data REST Exporters 1.0 - Artifacts - JavaDocs - Documentation

There's a more detailled blog post over at the the SpringSource team blog to cover the content of the overall release, the future roadmap etc. Looking forward to your feedback!

It's a pleasure to announce that we have just released the GA versions of a variety of Spring Data modules. With this release we continue to manifest the commitment of SpringSource to provide Java developers with tools to work with state-of-the-art persistence technologies. In this blog post I'd like to give you detailed insight into what the release includes, why we decided for a release train and a brief outlook into what the next steps on the Spring Data roadmap are.

The release train

Looking back at the way Spring Data modules were developed, release cycles were usually managed by the individual module leads. Given the different pace and maturity of the modules this caused some issues when trying to work with multiple modules at once. Especially the projects depending on Spring Data Commons were suffering from this problem.

We were working hard on minimizing these issues but eventually came to the conclusion that it makes sense to coordinate the…

Dear Spring community, I am pleased to announce the next Spring Data release train stop, including Spring Data JPA, MongoDB, Neo4j, Gemfire as well as its foundation Spring Data Commons. The release is the final one before bringing all the modules into GA state of their next major version. Here are the highlights:

All modules

• Depend on Spring 3.1.2 by default. The modules are still fully compatible with Spring 3.0.7 but users have to manually declare Spring dependencies in they Maven pom.xml files if they'd like to use the older version. Note that some of the features included in this release (e.g. the usage of @EnableRepositories) require Spring 3.1.0 at least.
…

I'd like to announce the availablity of new milestone and bugfix releases of Spring Data Commons (1.3.2.RELEASE, 1.4.0.M1), JPA (1.1.1.RELEASE, 1.2.0.M1) and MongoDB (1.0.3.RELEASE, 1.1.0.M2). The releases mark the very first step to a common release train that will reach the next major release mid August and include Spring Data Commons, JPA, MongoDB, Neo4J and Gemfire. The release train is an effort to simultaneously release all store modules that support the repository abstraction and thus have a common set of functionality to provide. Beyond that this will make sure the released stores interoperate with each other seamlessly.

This first milestone release includes support for JavaConfig based repository configuration by introducing @EnableJpaRepositories, @EnableMongoRepository etc. Beyond that we of course have a ton of bug fixes and improvements. For details follow the links below.

We'll have release candidates for the next major versions out there in early August, followed by the GA versions briefly after that. For more detailled information on the release train please have a look at the wiki page in Spring Data Commons.

• Spring Data Commons 1.3.2.RELEASE
  Maven artifacts | JavaDocs | Reference Documentation | Changelog
• Spring Data Commons 1.4.0.M1
  Maven artifacts | JavaDocs | Reference Documentation | Changelog

• Spring Data JPA 1.1.1.RELEASE
  Maven artifacts | JavaDocs | Reference Documentation | Changelog
• Spring Data JPA 1.2.0.M1
  Maven artifacts | JavaDocs | Reference Documentation | Changelog

• Spring Data MongoDB 1.0.3.RELEASE
  Maven artifacts | JavaDocs | Reference Documentation | Changelog
• Spring Data MongoDB 1.1.0.M2
  Maven artifacts | JavaDocs | Reference Documentation | Changelog

The bugfix versions are available from the SpringSource release repository and will be synced to Maven central in a bit, the milestones from our milestone repository. Looking forward to your feedback in the forums or the bug tracker.

Dear Spring community, I'd like to announce the availability of Spring Data MongoDB 1.0.2. It's a bug fix release containing 20 bugfixes and improvements.

Downloads | JavaDocs | Reference Documentation | Changelog

The release is available from our Maven repository and from Maven Central as well. To learn more about the project, visit the Spring Data MongoDB Page. Looking forward to your feedback on the forum or in the issue tracker.

Dear Spring Community, I'd like to announce the availability of the GA release of Spring Data 1.1.0. The overall release comes with 72 bugs fixed, improvements and new features. Here are the most important ones:

• New keywords for query generation: LessThanEqual, GreaterThanEqual, Before, After, StartsWith, EndsWith, Contains
• PersistenceUnitPostProcessor to scan for JPA entities (to be used with Spring versions before 3.1)
• CDI integration for repositories (see here for details)
• Support for native queries in @Query
• Support for declarative locking

The release binaries are available via our Artifactory instance at http://repo.springsource.org and will be available in Maven Central in a bit as well.

Download | JavaDocs | Reference documentation (HTML) | Reference documentation (PDF) | Changelog

Looking forward to your feedback in the forums or the issuetracker.