官方地址：http://spring.io/blog/2014/12/23/spring-xd-1-1-m2-and-1-0-3-released

On behalf of the Spring XD team, I am very pleased to announce the second milestone release of Spring XD 1.1 and the 1.0.3 maintenance release.

Download Links:
* 1.1.0.M2 RELEASE: zip, 1.0.3.RELEASE: zip

The 1.1 M2 release includes bug fixes and enhancements as well as several new features:

• Kafka based Message Bus. If Kafka is your middleware du jour, you will feel right at home.
• Batching and compression support for RabbitMQ provides significantly increased effective message rate throughput.
• Develop Processor modules using Project Reactor’s Stream API. The Stream API is based on the Reactive Streams specification that provides a standard for asynchronous stream processing with non-blocking backpressure. This allows you to use a functional programming model as the basis for processing event streams. Combined with XD’s support for Data Partitioning on the Message Bus, you can create very powerful distributed stream processing solutions.
• Easily develop, test, and package custom modules. A parent pom bootstraps all the dependencies required for building a custom module and bundles your module and dependencies into a single uberjar file. There is also support for integration testing your module with JUnit using an embedded single node server.
• Upload custom modules to the admin server over HTTP.
• Role based authorization of REST endpoints give you control over “who can do what”.
• File based authentication as a simple alternative to LDAP.
• Sqoop Batch job integration

Please see the reactor-moving-average project for an example of using Reactor’s Stream API and the si-dsl-module for a complete example of developing a custom module.

Of note for the next release of Spring XD 1.1 RC1 we will be including support for

• Processor modules that use Spark Streaming
• Processor modules that use RxJava
• Kafka Message Bus and Kafka source improvements based on a revamped Spring Kafka Library
• Granular security ACLs to support who can create or destroy streams and jobs

Feedback is very important, so please get in touch with questions and comments via

• StackOverflow spring-xd tag
• Spring JIRA or GitHub Issues