Spring for Apache Hadoop 2.3.0 GA 发布,更新如下:
- Added support for Hive 1.x and updated HiveTemplate to work with HiveServer2
- New batch tasklet for Apache Spark, see docs for a usage example
- Added FlushTimeoutTrigger to StoreObjectSupport to allow to flush to disk during writes
- Replaced internal state machine implementation with new “spring-statemachine” project
- Added jobHistoryAddress to SpringHadoopProperties for Boot configuration
- Update build to use Spring Framework 4.2.4, Spring Batch 3.0.6.RELEASE, Spring Boot 1.3.1.RELEASE and Spring Integration 4.2.4.RELEASE.
更多内容请看: changelog 。
项目主页: http://projects.spring.io/spring-hadoop/
Spring for Apache Hadoop 提供了 spring” target=”_blank” rel=”nofollow”>Spring 框架用于创建和运行 hadoop” target=”_blank” rel=”nofollow”>Hadoop mapreduce” target=”_blank” rel=”nofollow”>MapReduce、hive” target=”_blank” rel=”nofollow”>Hive 和 Pig 作业的功能,包括 hdfs” target=”_blank” rel=”nofollow”>HDFS 和 hbase” target=”_blank” rel=”nofollow”>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” target=”_blank” rel=”nofollow”>Spring Data 的子模块之一。