Spring XD 1.1 RC1 发布

Spring XD 1.1 RC1 发布，此版本现已提供下载， 包括一些新特性和 bug 修复，主要是 Stream 处理。Spring XD 1.1. M2 中处理模块引入了对 Reactor 的 Stream API 的支持。在 1.1 RC1 支持使用 RxJava 的 Observable API 和 Spark Streaming（支持现有的 Spark job）进行流处理。通过提供一系列的选项，你可以选择最适合任务的函数式编程模块。

Spark Streaming 集成特性如下：

• XD Processor modules that act as drivers for workloads on the Spark Cluster.

• An XD processor’s input DStream is generated from data received on the XD Message Bus, and the RDDs from its output DStream are sent to the bus.

• The Spark Streaming driver process is automatically restarted if it dies due to the inherent module redeployment features of XD.

• Simplify development and testing of Spark applications by decoupling your Spark computation code from code to setup input and output data.

RxJava 集成特性如下：

• Development of processor modules using RxJava’s Observable API

• Support for mapping input messages to one or multiple Observerble Stream instances

• Refer to the rxjava-moving-average project for an example of using RxJava’s Observable API.

其他特性

• Container Group Management when running XD on YARN.

• Refactored Kafka Based Message Bus and Kafka Source based on the new Spring Integration Kafka client library.

• Gemfire source and sink support for multiple locators.

• Improved tooling and updated examples for custom module development.

相关链接：

• StackOverflow spring-xd tag

• Spring JIRA or GitHub Issues

更多内容请看发行说明。

Spring XD 是一个统一的，分布式，可扩展的系统用于数据摄取，实时分析，批量处理和数据导出。该项目的目标是简化大数据应用的开发。