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RHadoop is a collection of five R packages that allow users to manage and analyze data with Hadoop. The packages have been tested (and always before a release) on recent releases of the Cloudera and Hortonworks Hadoop distributions and should have broad compatibility with open source Hadoop and mapR's distribution. We normally test on recent Revolution R/Microsoft R and CentOS releases, but we expect all the RHadoop packages to work on a recent release of open source R and Linux.

RHadoop consists of the following packages:

Package Name Description rhdfs This package provides basic connectivity to the Hadoop Distributed File System. R programmers can browse, read, write, and modify files stored in HDFS from within R. Install this package only on the node that will run the R client. rhbase This package provides basic connectivity to the HBASE distributed database, using the Thrift server. R programmers can browse, read, write, and modify tables stored in HBASE from within R. Install this package only on the node that will run the R client. plyrmr This package enables the R user to perform common data manipulation operations, as found in popular packages such as plyr and reshape2, on very large data sets stored on Hadoop. Like rmr, it relies on Hadoop MapReduce to perform its tasks, but it provides a familiar plyr-like interface while hiding many of the MapReduce details. Install this package only every node in the cluster. rmr2 A package that allows R developer to perform statistical analysis in R via Hadoop MapReduce functionality on a Hadoop cluster. Install this package on every node in the cluster. ravro A package that adds the ability to read and write avro files from local and HDFS file system and adds an avro input format for rmr2. Install this package only on the node that will run the R client.

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