Recorded at SpringOne2GX 2015. Speaker: Matt Raible Core Spring track Slides: http://www.slideshare.net/SpringCentral/noxml-eliminating-xml-in-your-spring-projects

Many Spring projects exist that leverage XML for their configuration and bean definitions. Most Java web applications use a web.xml to configure their servlets, filters and listeners. This session shows you how you can eliminate XML by configuring your Spring beans with JavaConfig and annotations. It also shows how you can remove your web.xml and configure your web components with Java.

Recorded at SpringOne2GX 2015. Speaker: Stephane Maldini, Glenn Renfo, David Turanski Big Data track Slides: http://www.slideshare.net/SpringCentral/high-performance-stream-processing-53163754

Making things go fast is harder than it looks. In this talk we dissect a Spring XD application into three areas - message transport, data serialization, and application processing - to show design patterns and techniques that will help you get the highest throughput and lowest resource utilization for your streaming applications. We will compare and contrast in-memory, RabbitMQ, and Kafka transports…

Recorded at SpringOne2GX 2015. Speaker: John T Davies Big Data track Slides: http://www.slideshare.net/SpringCentral/microservices-to-fastdata-in-the-enterprise-with-spring

How do you deal with massive volumes of data, hundreds of thousands per second? Just chuck it into RAM but what about GC? If we scale to terabytes we need to distribute, what about serialisation costs? How do micro services fit in? In this talk we’ll be using Spring Integration and Spring Boot to ingest gigabytes of complex data into an two different in memory data grids (IMDGs). Based on applications running in…

I am pleased to announce that the spring-kafka (Spring for Apache Kafka) Second Milestone for version 1.0 is now available.

The artifacts org.springframework.kafka:spring-kafka:1.0.0.M2 and org.springframework.kafka:spring-kafka-test:1.0.0.M2 are available in the Milestone repository.

Changes since the First Milestone include:

• KafkaTemplate.send() methods now return ListenableFuture<SendResult<K, V>>

to track publishing to the Kafka topic asynchronously.

• The MessagingMessageListenerAdapter (for @KafkaListener method) can now infer the type for payload conversion from the method arguments.
• A StringJsonMessageConverter, which can use the type inference to build the target object from JSON content using the Jackson ObjectMapper.
• RECEIVED_ headers have been added from the Listener to avoid clashing (re-routing) to the same topic with the same messageKey when sending, e.g. with the Spring Integration Adapters.
• More testing utilities.
…

I am pleased to announce that the spring-integration-kafka (Spring Integration Kafka Support) First Milestone for version 2.0 is now available.

The Spring Integration Kafka extension project provides inbound and outbound channel adapters for Apache Kafka.

Starting with this version 2.0 the project is a complete rewrite based on the new spring-kafka project which uses the pure java Producer and Consumer clients provided by Kafka 0.9.x.x.

The artifact org.springframework.integration:spring-integration-kafka:2.0.0.M1 is available in the Milestone repository.

Key Features

The Kafka Consumer…

Greetings Spring community,

Spring WS has just released version 2.3.0.RELEASE. This is a major upgrade where we have updated several core dependencies such as Apache Wss4j 2 (from 1.6). I recommend upgrading to ensure you have the latest fixes. For a listing of completed issues see the report below:

Release Notes | Project Page | GitHub | Issues | Documentation

The artifacts are staged on maven central, http://repo.spring.io/release, and bintray.

Cheers!

On behalf of the entire Spring Data team I am happy to announce the general availability of the Spring Data release train Hopper. The train includes 395 tickets fixed and its most important additions are:

• 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.
• Improved support for composed annotations.
• Support for lookup types and nested associations in Spring Data REST
• Major upgrades of the Solr (2.0 on Solr 5.5), Neo4j (4.1), Couchbase (2.1 on Couchbase 2.0), Elasticsearch (2.0 on ES 2.2)
• Upgrade to Querydsl 4.
• Support for object mapping and repositories for Spring Data Redis.
• Support for Redis Cluster.
• Support for projections on repository query methods in JPA and MongoDB.
• …

On behalf of the community, I'm pleased to announce the release of Spring Session 1.2.0.RC2. The release can be found in the Spring Milestone Repository (https://repo.spring.io/milestone/).

This release contains some fixes for the previous release.

Some highlights of the issues in this release include:

• A number of fixes for the JDBC support have been included
• A new Grails 3 Sample

See What's New in 1.2 for more details.

Our Community Support

As always, I'd like to thank our awesome community for their contributions. A very big thanks to those who submitted Pull Requests:

• #436 - Use Flapdoodle Embedded MongoDB for integration tests Thanks Vedran Pavić
• #437 - Externalize H2 database dependency version Thanks Vedran Pavić
• #440 - Fix SessionRepositoryFilter comment typo Thanks Jin Zhang
• #442 - Add Grails 3 Sample Thanks Eric Helgeson
• #444 - Add Dispatcher types to web.xml Thanks moonlight
• #450 - Fix loading of JdbcSession's lastAccessedTime attribute Thanks Vedran Pavić
• #451 - Polish JdbcHttpSessionConfigurationTests Thanks Vedran Pavić
• #454 - Add JDBC Spring Boot sample Thanks Vedran Pavić
• #462 - Update WebSocket sample to use H2 console auto-configuration Thanks …

On behalf of the team, I am pleased to announce the release of Spring Cloud Stream 1.0.0.RC2, available here. As part of the release candidate cycle, it comes with a number of bug fixes and a small number adjustments. The complete list of changes is available here.

Some highlights:

• Spring Cloud Stream applications now use the ObjectMapper provided by Spring Boot, if available;
• Header embedding is now a general purpose producer/consumer property. It can be enabled or disabled by middlewares that require embedding for header propagation. This allows easier interoperability outside Spring Cloud Stream; (until now it was a Kafka-specific property);
• Further documentation and sample improvements.
…