Spring for Apache Hadoop 2.1 正式发布

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。

Spring for Apache Hadoop 2.1 正式发布，经过 6 个月的努力，2.1 终于正式发布啦！

从 Spring for Apache Hadoop 2.1 版本开始，只支持 Hadoop 2.0 APIs，不再向后兼容旧版的 Hadop v1 版本。如果你需要支持 Hadoop v1 版本，请使用 2.0.4 或者 1.1.0 版本。

主要改进内容如下：

支持 Configuration 和 Boot；

Store:

• Added support for append mode in the HDFS store writers.

• The Kite SDK dataset support updated to 0.17.0. This means there are some changes to the API. The use of a namespace in addition to the basePath is now mandatory. The DatasetTemplate now also uses ViewCallbacks instead of a partition expression for querying the data.

YARN:

• Support for container grouping and clustering in Spring YARN, which brings functionality for running multiple container types within a single YARN application.

• A new REST API for submitted apps and an improved application model with new client side commands and a command line shell.

• To see examples of these features look at the yarn-store-groups example app or at the Spring XD implementation for running on YARN.

此版本支持：

• Apache Hadoop 2.4.1 (2.1.0.RELEASE-hadoop24)

• Apache Hadoop 2.5.2 (2.1.0.RELEASE-hadoop25)

• Apache Hadoop 2.6.0 (2.1.0.RELEASE)

• Pivotal HD 2.1 (2.1.0.RELEASE-phd21)

• Cloudera CDH5 5.3.0 (2.1.0.RELEASE-cdh5)

• Hortonworks HDP 2.2 (2.1.0.RELEASE-hdp22)

默认的版本是 Apache Hadoop 2.6.0。

未来计划开发的特性：

• Better Java Configuration support.

• Add better support for for Hiveserver2 including a batch tasklet.

• Basic support for a batch tasklet to run Spark apps.

• Better boot support throughout the different modules.

• Improved security support (i.e. the YARN Boot CLI interaction, etc).

• Enhancements to have seamless integration with spring-cloud components (i.e. spring-cloud-cluster).