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News

  • 10/1/2012 rmr-2.0 released, simplest and fastest rmr yet, makes everything vectorized and gives first class status to structured data. See Changelog
  • 9/10/2012 branched rmr-2.0 to prepare for the next release. Also provided a tgz file for download. Many changes and documentation still mostly out of date. Try if you are able to read the source code. Feedback is welcome.
  • 7/30/2012 rmr 1.3.1 tested on major Hadoop distros and Rmd docs — see Changelog.
  • 7/17/2012 rhdfs (1.0.4) change to handle different classpaths in the init function
  • 7/13/2012 rmr 1.3 with vectorized API — see Changelog.
  • 5/18/2012 rhdfs (1.0.3) bug fix in function hdfs.file
  • 4/14/2012 rhbase (1.0.4) and rhdfs (1.0.2) minor bug fixes and some cleanup for R CMD check
  • 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

About

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 2.15.0. THe packages have also been tested with Revolution R 4.3, 5.0, and 6.0. For rmr see Compatibility.

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

More information about RHadoop

Contact: rhadoop@revolutionanalytics.com

Questions: Please participate in our discussion group. For private questions, please use the above email address.

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