In behalf of the Spring Data team I am happy to announce the first and final release candidate for the Hopper release train. The release ships with a couple of important changes and updates:

• Upgrade of the Spring Framework baseline to 4.2 (4.2.5 in particular).
• Support for Query by Example in Spring Data JPA and MongoDB.
• Support for object mapping and repositories for Spring Data Redis.
• Improved support for composed annotations.
• Support for lookup types and nested associations in Spring Data REST
• Upgrade to Elasticsearch 2.2, and thus the version number change of Spring Data Elasticsearch to 2.0
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On behalf of the community, I'm pleased to announce the release of Spring Session 1.2.0.RC1. The release can be found in the Spring Milestone repository (https://repo.spring.io/milestone).

Change Log

This release includes nearly 30 issues with some exciting new features. You can find a complete list of changes in the change log. The highlights can be found in What's New in 1.2

Contributions

I continue to be amazed with the growing Spring Session community. It is because of our community that we were able to do this release within a month of 1.1.0 going GA. A special thank you to all those who…

On behalf of the community, I'm pleased to announce the release of Spring Session 1.1.1.RELEASE. The release can be found in Maven Central.

Change Log

This release includes a number of minor fixes and upgrade is recommended for anyone currently using Spring Session. You can find details of the fixes in the changelog

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Welcome to another installment of This Week in Spring! What a crazy week it's been since we last talked! I spent a day in San Francisco, Germany, Scotland, and Romania between Monday and Friday last. It's nice this week to be in (warm!) southern California in Los Angeles and San Diego speaking to customers and at a couple of meetups! If you're around, I hope you'll join me for the Cloud Native Meetup here in Los Angeles (tonight!).

• the 2016 NFJS tour has just kicked off, first in Minneapolis. The amazing Craig Walls and Matt Stine be presenting at most of the NFJS shows in 2016 on all manner of topics including Spring Boot, Spring Cloud, Spring Security, Spring Data, Spring Cloud Data Flow, and (later this year) Spring’s new reactive stuff. Make sure to check out the event in your city!
• JUnit 5 is coming! Check out Lukas Eder's quick runthrough of some of the new features in JUnit 5. JUnit 5 is critical infrastructure code, and it's for this reason that we at Pivotal were happy to help sponsor some of its development.
• Get the …

Recorded at SpringOne2GX 2015. Speaker: Sebastian Deleuze Web / JavaScript Track Slides: http://www.slideshare.net/SpringCentral/isomorphic-templating-with-spring-boot-nashorn-and-react The first part of this talk introduces the upcoming Spring Framework 4.2 Script Templating support, showing how you can use Nashorn, Jython or JRuby to render templates with Javascript, Python or Ruyby based template engines. We will see how easy you can extend out of the box capabilities on the scripting side. Based on benchmarks, features available and code samples, we will see if this can be a…

Recorded at SpringOne2GX 2015. Speaker: Monish Unni Data / Integration Track Slides: http://www.slideshare.net/SpringCentral/introducing-calltracing-tm-based-on-rabbitmq-spring-and-zipkin Do you live in a world where StackTraces aren’t quite enough? There is no easy way for you to predict how a certain set of services might be called or what their usage patterns are? Does everything work in DIT/SIT/UAT/PELT until you hit production and strange things start to happen due to distribution of services? Solution: Use RabbitMQ (AMQP protocol) and spring proxies/interceptors to enable an out-of…

Recorded at SpringOne2GX 2015. Speaker: Joseph Paulchell, CapitalOne Big Data Track Slides: http://www.slideshare.net/SpringCentral/supercharging-operations-analysis-using-spring-xd-to-support-analytics-and-cep Operations, analytics, and business teams are requesting ever increasing amounts of data delivered to Big Data analysis platforms and tools. This demand is driven by the desire to better understand user experience, quality of service, real time performance of systems, and the undiscovered patterns and opportunities that exist to improve service, sell products, and delight users…

I am pleased to announce that the spring-kafka (Spring for Apache Kafka) first milestone is now available (1.0.0.M1).

The existing spring-integration-kafka extension project - currently at version 1.3.0.RELEASE supports Kafka 0.8.x.x and is used in Spring XD (Kafka MessageBus) and Spring Cloud Stream (Kafka Binder).

This new project (spring-kafka) breaks out the core components into a separate project. It is based on the new 0.9.0.x pure Java Kafka clients.

spring-kafka brings the familiar Spring programming model to Apache Kafka for any Spring user, not just those using Spring Integration. An upcoming spring-integration-kafka release will be a complete rewrite, utilizing the spring-kafka…

[Update] Following our Reactor 2.5 introduction, we shifted the version to 3.0 to reflect better the major redesign effort overtaken.

A meaningful composition API

The former reactor-stream module has been merged into Reactor Core 3.0. Flux and Mono respectively representing 0..N and 0..1 sequence types now cover a solid range of operations for the following categories:

• Cold-to-Hot or Multicasting : publish, publishNext, cache, multicast...
• Aggregating/Reducing (Transforming) : buffer, reduce, scan, window, sample...
• Filtering : filter, exists, single...
• Conditioning : timeout, take, takeUntil, skip, skipUntil...
• Combining : withLatestFrom, combineLatest
• Backpressuring : onBackpressureDrop, onBackpressureLatest...
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