sparklyr: R Interface to Apache Spark

R interface to Apache Spark, a fast and general engine for big data processing, see <http://spark.apache.org>. 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: 0.5.5
Depends: R (≥ 3.1.2)
Imports: methods, lazyeval (≥ 0.2.0), dplyr (≥ 0.5.0), DBI (≥ 0.6), readr (≥ 0.2.0), digest, config, rappdirs, assertthat, rprojroot, withr, httr, jsonlite, base64enc, rstudioapi, shiny (≥ 1.0.1)
Suggests: testthat, RCurl, janeaustenr
Published: 2017-05-26
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
URL: http://spark.rstudio.com
NeedsCompilation: no
Materials: README NEWS
CRAN checks: sparklyr results

Downloads:

Reference manual: sparklyr.pdf
Package source: sparklyr_0.5.5.tar.gz
Windows binaries: r-devel: sparklyr_0.5.5.zip, r-release: sparklyr_0.5.5.zip, r-oldrel: sparklyr_0.5.4.zip
OS X El Capitan binaries: r-release: sparklyr_0.5.5.tgz
OS X Mavericks binaries: r-oldrel: sparklyr_0.5.5.tgz
Old sources: sparklyr archive

Reverse dependencies:

Reverse imports: rsparkling, spark.sas7bdat, sparkwarc
Reverse suggests: replyr

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