Spring for Apache Hadoop 2.1.0.M3 发布

Spring for Apache Hadoop 提供了 Spring 框架用于创建和运行 Hadoop MapReduce、Hive 和 Pig 作业的功能，包括 HDFS 和 HBase。如果你需要简单的基于 Hadoop 进行作业调度，你可添加 Spring for Apache Hadoop 命名空间到你的 Spring 项目即可快速使用 Hadoop 了，使用该项目无需了解过多 Hadoop 技巧。

Spring for Apache Hadoop 是 Spring Data 的子模块之一。

We are pleased to announce the third milestone release of Spring for Apache Hadoop 2.1. The release is now available in the Spring IO repository

We have worked on improving the YARN and data store writers. There are also new @Configuration changes and improvements to the Boot auto configuration features. See the full changelog for more details.

Beginning with the Spring for Apache Hadoop 2.1 version, we now only support Hadoop 2.0 APIs and no longer provide backwards compatibility with older Hadoop v1 distributions. If you need support for older Hadoop versions please use the 2.0.4 or 1.1.0 versions of Spring for Apache Hadoop.

We provide support and “flavored” versions for the following distributions:
- Apache Hadoop 2.4.1 (2.1.0.M3-hadoop24)
- Apache Hadoop 2.5.1 (2.1.0.M3)
- Apache Hadoop 2.6.0 (2.1.0.M3-hadoop26)
- Pivotal HD 2.1 (2.1.0.M3-phd21)
- Cloudera CDH5 (2.1.0.M3-cdh5)
- Hortonworks HDP 2.1 (2.1.0.M3-hdp21)

The default distribution version is now Apache Hadoop 2.5.1. We continue to update the supported versions and have now added Apache Hadoop 2.6.0. We also added Hortonworks HDP 2.2 to the build and will provide that option as a pre-packaged flavor in the next release.

For more project specific information please see the project page.