sparklyr: R Interface to Apache Spark

Provision, connect and interface to Apache Spark from within R. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.

Version: 0.4
Depends: R (≥ 3.1.2)
Imports: methods, magrittr, lazyeval (≥ 0.2.0), tibble (≥ 1.1), dplyr (≥ 0.5.0), DBI (≥ 0.4.1), readr (≥ 0.2.0), digest, config, rappdirs, assertthat, rprojroot, withr
Suggests: testthat, RCurl
Published: 2016-09-24
Author: Javier Luraschi [aut, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph], The Apache Software Foundation [aut, cph]
Maintainer: Javier Luraschi <javier at rstudio.com>
BugReports: https://github.com/rstudio/sparklyr/issues
License: Apache License 2.0 | file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: sparklyr results

Downloads:

Reference manual: sparklyr.pdf
Package source: sparklyr_0.4.tar.gz
Windows binaries: r-devel: sparklyr_0.4.zip, r-release: sparklyr_0.4.zip, r-oldrel: sparklyr_0.4.zip
OS X Mavericks binaries: r-release: sparklyr_0.4.tgz, r-oldrel: sparklyr_0.4.tgz

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