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Spring Cloud Finchley M1 is available.

On behalf of the community, I am pleased to announce that the Milestone 1 (M1) of the Spring Cloud Finchley Release Train is available today. The release can be found in Spring Milestone repository. You can check out the Finchley release notes for more information.

Notable Changes in the Finchley Release Train

Finchley is based on the Spring Boot 2.0.0 line. Finchley.M1 is based on Spring Boot 2.0.0.M2. This is largely a compatibility build with no new features with the exception of Spring Cloud Gateway. Finchley will follow Spring Boot’s milestones and release candidates with a corresponding Finchley release soon after. General Availability is targeted for after Spring Boot 2.0 GA, likely in Dec. 2017.

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Spring for Apache Hadoop 2.5.0 GA released

We are pleased to announce the Spring for Apache Hadoop 2.5.0 GA release.

The 2.5 version is primarily a bug fix and version upgrade release.

See the release changelog for details.

We continue to provide version specific artifacts with their respective transitive dependencies in the Spring IO milestone repository:

  • 2.5.0.RC1 (default - Apache Hadoop stable 2.7.3)
  • 2.5.0.RC1-cdh5 (Cloudera CDH 5.10)
  • 2.5.0.RC1-hdp26 (Hortonworks HDP 2.6)

We discussed the future of the Spring for Apache Hadoop Project in the 2.5.0 RC1 announcement.

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Introducing Spring Cloud Function

Spring Cloud Function is a new project with the following high-level goals:

  • Promote the implementation of business logic via functions.
  • Decouple the development lifecycle of business logic from any specific runtime target so that the same code can run as a web endpoint, a stream processor, or a task.
  • Support a uniform programming model across serverless providers, as well as the ability to run standalone (locally or in a PaaS).
  • Enable Spring Boot features (auto-configuration, dependency injection, metrics) on serverless providers.
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This Week in Spring - July 4th, 2017

Welcome to another installment of This Week in Spring! If you’re in the US, then let me wish you a happy 4th of July! We’ve got a lot to cover so let’s get to it!

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Spring Cloud Data Flow 1.2.2 Released

On behalf of the team, I am pleased to announce the general availability of Spring Cloud Data Flow 1.2.2.

Local Server: Quick Start, Getting Started Guide

Due to the popular demand from the community, the primary goal of this maintenance release is to bring Spring Boot 1.5.4 compatibility in Spring Cloud Data Flow.

  • Since it includes refactoring efforts to adapt to a bug fix introduced in a Spring Data maintenance release that is pulled in by Spring Boot, this is not a simple version upgrade.
  • As reported by the community, a side effect of this update surfaced pagination problems in the clients. It has been reworked both in the client and server-side.
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This Week in Spring - June 27th, 2017

Hi Spring fans and welcome to another installment of This Week in Spring! This week I’m in Chicago, New York City and Denver talking to Pivotal customers. We’ve got a lot of good stuff to look at this week so let’s get to it!

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Spring for Apache Hadoop 2.5.0.RC1 released

New release candidate for Spring for Apache Hadoop 2.5

We are pleased to announce the Spring for Apache Hadoop 2.5 release candidate release.

The 2.5 version is primarily a bug fix and version upgrade release.

See the release changelog for details.

We continue to provide version specific artifacts with their respective transitive dependencies in the Spring IO milestone repository:

  • 2.5.0.RC1 (default - Apache Hadoop stable 2.7.3)
  • 2.5.0.RC1-cdh5 (Cloudera CDH 5.10)
  • 2.5.0.RC1-hdp26 (Hortonworks HDP 2.6)
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A preview on Spring Data Kay

As we’ve just shipped the fourth milestone release of Spring Data release train Kay, let’s take a look at the changes and features that come with the 13 modules on the train since our first milestone. This blog post covers a set of changes but is no means comprehensive of the 550+ changes between M2 and M4. To get a full list of changes, take a look into our Jira for Kay M1, M2, M3, and M4 changes.

Here’s a curated list of our key changes:

  • Adjustments in the reactive support

  • Composable repositories

  • Improved naming scheme for CRUD methods

  • Fluent MongoOperations API

  • Kotlin extension for MongoDB’s Template API

  • MongoDB Collation Support

  • Redis client configuration

  • Cassandra Lightweight transaction support and Query/Update objects

  • Java 9 compatibility

  • Upgrade to Elasticsearch 5.4

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This Week in Spring - June 20th, 2017

Hi Spring fans and welcome to another installment of This Week in Spring! This week I’m in Krakow, Poland for the epic Devoxx PL event and then it’s off to Luxembourg for the VoxxedDays Luxembourg event! If you’re around, don’t hesitate to say hi

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Spring Integration 5.0 Milestone 5 Available

On behalf of the Spring Integration team I am pleased to announce that the fifth milestone for the Spring Integration 5.0 release (5.0.0.M5) is now available.

21 JIRAs (and some GitHub issues) made into this release, including bug fixes and a number of new features. Some highlights of features in M4 and M5, since the previously announced Milestone 3:

  • The Splitter now can deal with the Java Stream and Reactor Flux payloads. If the output channel is a ReactiveStreamsSubscribableChannel, splitting supports back-pressure.

  • A ErrorMessagePublisher together with the ErrorMessageStrategy have been introduced to pursue better error handling experience with the inception message for the ErrorMessage. The MessageListenerContainer in Spring Kafka 2.0 and Spring AMQP 2.0 are supplied with their own ErrorMessageStrategy to represent the original data in the ErrorMessage for the error handling flow.

  • The new MockMessageHandler has been added to Spring Integration Test framework for replacing real `MessageHandler`s for unit testing:

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