HadoopStreaming: Utilities for using R scripts in Hadoop streaming
Version 0.2

Provides a framework for writing map/reduce scripts for use in Hadoop Streaming. Also facilitates operating on data in a streaming fashion, without Hadoop.

AuthorDavid S. Rosenberg <drosen@sensenetworks.com>
Date of publication2012-10-29 08:57:09
MaintainerDavid S. Rosenberg <drosen@sensenetworks.com>
LicenseGPL
Version0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("HadoopStreaming")

Getting started

Package overview

Popular man pages

HadoopStreaming-package: Functions facilitating Hadoop streaming with R.
hsCmdLineArgs: Handles command line arguments for Hadoop streaming tasks
hsKeyValReader: Reads key value pairs
hsLineReader: A wrapper for readLines
hsTableReader: Chunks input data into data frames
hsWriteTable: Calls write.table with defaults sensible for Hadoop...
See all...

All man pages Function index File listing

Man pages

HadoopStreaming-package: Functions facilitating Hadoop streaming with R.
hsCmdLineArgs: Handles command line arguments for Hadoop streaming tasks
hsKeyValReader: Reads key value pairs
hsLineReader: A wrapper for readLines
hsTableReader: Chunks input data into data frames
hsWriteTable: Calls write.table with defaults sensible for Hadoop...

Functions

HadoopStreaming Man page
HadoopStreaming-package Man page
hsCmdLineArgs Man page Source code
hsKeyValReader Man page
hsLineReader Man page
hsTableReader Man page
hsWriteTable Man page

Files

NAMESPACE
man
man/hsTableReader.Rd
man/HadoopStreaming-package.Rd
man/hsCmdLineArgs.Rd
man/hsLineReader.Rd
man/hsKeyValReader.Rd
man/hsWriteTable.Rd
inst
inst/wordCntDemo
inst/wordCntDemo/README
inst/wordCntDemo/RLibDeploy.sh
inst/wordCntDemo/run.sh
inst/wordCntDemo/runHadoop.sh
inst/wordCntDemo/hsWordCnt.R
inst/wordCntDemo/anna.txt
DESCRIPTION
MD5
R
R/hsWriteTable.R
R/hsCmdLineArgs.R
R/hsTableReader.R
R/hsLineReader.R
R/hsKeyValReader.R
HadoopStreaming documentation built on May 19, 2017, 9:32 a.m.

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