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- dev>Contribute to the RHadoop project
- dev>Release Process
- dev>rmr>API design
- dev>rmr>Design Philosophy
- dev>rmr>Documentation guidelines for rmr
- dev>Version Control Guidelines
- user>rmr>Comparison of high level languages for mapreduce k means
- user>rmr>Debugging rmr programs
- user>rmr>Efficient rmr techniques
- user>rmr>Finding Frequent Itemsets
- user>rmr>Getting data in and out
- user>rmr>Keyval types and combinations
- user>rmr>Learning resources
- user>rmr>Memory management in rmr2
- user>rmr>rmr2 settings
- user>rmr>Use Cases
- user>rmr>Writing composable mapreduce jobs
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- 3/30/2012 rmr 1.2.2 fixes from.dfs for some obscure platforms and prepares for apache 1.0.2 compatibility (more flexible w.r.t. hadoop layout)
- 3/13/2012 New version of rhbase (1.0.3) that supports both "native" and "raw" serialization
- 2/27/2012 rmr version 1.2 with binary formats and other goodies available — see Changelog.
- 2/11/2012 New version of rhbase (1.0.2) that installs with thrift 0.8 or greater.
- 2/1/2012 Binary format now default in dev, passes all normal checks. Please test.
- 24/1/2012 - Merged branch binary-io into dev.Please note some non-backward compatible changes in the API intended to strike a compromise between flexibility and ease of use in the IO department.
- 12/7/2011 - Version 1.1 of the package rmr is available. See the Changelog for details.
- 9/29/2011 - Version 1.0.1 available - fixes some minor defects with R CMD check tests on the packages
RHadoop is a collection of three R packages that allow users to manage and analyze data with Hadoop. The packages have been implemented and tested in Cloudera's distribution of Hadoop (CDH3). and R 2.13.0. THe packages have also been tested with Revolution R 4.3 and 5.0
RHadoop consists of the following packages:
- rmr - functions providing Hadoop MapReduce functionality in R
- rhdfs - functions providing file management of the HDFS from within R
- rhbase - functions providing database management for the HBase distributed database from within R
- Overview of RHadoop, from the Revolution Analytics blog.
- Slides and Replay of 30-minute presentation about RHadoop, "Leveraging R in Hadoop Environments".
- Contribute to the RHadoop project
- Live from the net
Questions: Please participate in our discussion group. For private questions, please use the above email address.