Spring for Apache Hadoop 2.0 requires JDK level 6.0 (just like Hadoop) and above, Spring Framework 3.2 and above and is by default built against Apache Hadoop 1.2.1.

Spring for Apache Hadoop 2.0 supports the following versions and distributions:

* The distributions noted with and asterisk will include spring-yarn support in the build.

Any distribution compatible with Apache Hadoop 1.x or 2.2.x should be supported.

Spring for Apache Hadoop 2.0 is tested daily against a number of Hadoop distributions. See the test plan page for current status.

Instructions for setting up project builds using various supported distributions are provided on the Spring for Apache Hadoop wiki - https://github.com/SpringSource/spring-hadoop/wiki

Regarding Hadoop-related projects, SDHP supports Cascading 2.1, HBase 0.90.x, Hive 0.8.x and Pig 0.9.x and above. As a rule of thumb, when using Hadoop-related projects, such as Hive or Pig, use the required Hadoop version as a basis for discovering the supported versions.

To take full advantage of Spring for Apache Hadoop you need a running Hadoop cluster. If you don't already have one in your environment, a good first step is to create a single-node cluster. To install Hadoop 1.2.1, the "Getting Started" page from the official Apache documentation is a good general guide. If you are running on Ubuntu, the tutorial from Michael G. Noll, "Running Hadoop On Ubuntu Linux (Single-Node Cluster)" provides more details. It is also convenient to download a Virtual Machine where Hadoop is setup and ready to go. Cloudera, Hortonworks and Pivotal all provide virtual machines and provide VM downloads on their product pages. Additionally, the appendix provides information on how to use Spring for Apache Hadoop and setup Hadoop with cloud providers, such as Amazon Web Services.