简化大数据应用开发 ，Spring XD 1.0.0.M5 发布

Spring XD是一个统一的，分布式，可扩展的系统用于 data ingestion，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。

Spring XD 团队发布了 Spring XD 1.0.0 Milestone 5 版本，现已提供下载。

新特性：

• Pre-defined batch jobs for JDBC to HDFS

• Many additional job shell commands for controlling and reporting on batch jobs.

• Hadoop Dataset Avro sink that uses the Kite SDK

• HDFS sink now supports codecs (gzip, snappy, bzip2, lzo) and fine-grained control over file naming

• JMS source module now support Topics in addition to Queues

• Improved support for use of Gemfire Locators

• Aggregator module for batching that also supports a backing message store for checkpointing the event stream to memory, Redis, or a relational database.

• Support for separate control and data transport protocols

• XD servers are now built on top of Spring Boot

此版本解决了 140+ 个 Jira 问题，更多信息请前往： changelog 和 reference manual。

同时也提供了简单的示例和部署到 EC2 上面的脚本。

如果你是个 Mac 用户或者是 Homebrew 行家，可以像下面这样安装：