Welcome back to another installation of This Week in Spring! I'm hurriedly preparing for a busy few weeks. I'll be giving a tech talk at our office (875 Howard St, San Francisco, CA) on the 18th (and you're more than welcome! Just turn up around 12:30 PST on Tuesday the 18th and join us as we talk Boot, baby!), some training on the 19th, then I'll be in Atlanta for the epic DevNexus show and then, the very next day, off to Montreal, Canada for the ConFoo conference. I hope to see you here, at the GoPivotal offices for the tech talk, or in Atlanta, or in Montreal!

This week we've got lots of…

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…

Now that Thomas has just released a fifth milestone for Spring for Apache Hadoop, I'd like to use this opportunity to talk about recent development in its new feature, Spring YARN.

One strength in our Spring IO Platform is interoperability of its technologies. Great example of this is how Spring Boot and Spring YARN are able work together to create a better model for Hadoop YARN application development. In this blog post I'd like to show an example of a new Spring Yarn Application model which is heavily based on Spring Boot.

Spring YARN Intro

Development life cycle from a moment when a…

We are pleased to announce the Spring for Apache Hadoop 2.0 M5 milestone releases. We are moving closer to a release candidate, so this is a good time to highlight what is new in this 2.0 version and how it compares to 1.0.

Spring for Apache Hadoop 1.0 primarily targets using HDFS and MapReduce with either MapReduce v1 or MapReduce v2 (YARN). The default distribution is Apache Hadoop 1.2.1 with additional "flavors" provided for other distributions: Hadoop 2.2.0, Pivotal HD 1.1, Cloudera CDH4 MR1 or MR2 YARN and Hortonworks HDP 1.3.

The main focus for Spring for Apache Hadoop 2.0 is to add YARN…

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…

Presentation by Nik Trevallyn Jones at the Singapore Spring User Group.

http://www.singasug.com

Learn more about Spring Data at http://projects.spring.io/spring-data/

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Introduction to Apache Hadoop and Spring Data Hadoop by Hadoop expert Kailash Kutti (video from the Singapore Spring User Group)

http://www.singasug.com

Learn more about Spring Data at http://projects.spring.io/spring-data/

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Dear Spring Community,

I am happy to announce the second milestone release 3.5.0.M2 of the Spring Tool Suite (STS) and the Groovy/Grails Tool Suite (GGTS).

Highlights from this milestone build include:

• improved new dashboard
• improved Jar-type content assist for Spring Boot
• initial support for Spring Groovy CLI apps
• major performance improvements for Gradle tooling (refresh dependencies)
• updated to Grails 2.3.5

Both tool suites ship on top of the latest Eclipse Kepler SR1 release.

To download the distributions, please go visit:

• Spring Tool Suite: https://spring.io/tools/sts/all
• Groovy/Grails Tool Suite: https://spring.io/tools/ggts/all

The 3.5.0 release is scheduled for early March 2014 - shortly after the Eclipse Kepler SR2 release.

Enjoy!

This release contains a small number of important fixes for the recent 3.0.0 release. 3.0 users are encouraged to upgrade to this release as soon as possible. Please see the 3.0.1 release notes and project page for more information.