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: 1.3.1
Depends: R (≥ 3.2)
Imports: assertthat, base64enc, config (≥ 0.2), DBI (≥ 0.6-1), dplyr (≥ 0.7.2), dbplyr (≥ 1.1.0), digest, forge, generics, globals, httr (≥ 1.2.1), jsonlite (≥ 1.4), methods, openssl (≥ 0.8), purrr, r2d3, rappdirs, rjson (≥ 0.2.20), rlang (≥ 0.1.4), rprojroot, rstudioapi (≥ 0.10), tibble, tidyr, uuid, withr, xml2, ellipsis (≥ 0.1.0)
Suggests: arrow (≥ 0.14.0), broom, diffobj, foreach, ggplot2, iterators, janeaustenr, Lahman, mlbench, nnet, nycflights13, R6, RCurl, reshape2, shiny (≥ 1.0.1), stringr, testthat
Published: 2020-07-09
Author: Javier Luraschi [aut], Kevin Kuo ORCID iD [aut], Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut, cre], RStudio [cph], The Apache Software Foundation [aut, cph]
Maintainer: Yitao Li <yitao at rstudio.com>
BugReports: https://github.com/sparklyr/sparklyr/issues
License: Apache License 2.0 | file LICENSE
URL: http://spark.rstudio.com
NeedsCompilation: no
SystemRequirements: Spark: 1.6.x or 2.x
Materials: README NEWS
In views: Databases, ModelDeployment
CRAN checks: sparklyr results

Downloads:

Reference manual: sparklyr.pdf
Package source: sparklyr_1.3.1.tar.gz
Windows binaries: r-devel: sparklyr_1.3.1.zip, r-release: sparklyr_1.3.1.zip, r-oldrel: sparklyr_1.3.1.zip
macOS binaries: r-release: sparklyr_1.3.1.tgz, r-oldrel: sparklyr_1.3.1.tgz
Old sources: sparklyr archive

Reverse dependencies:

Reverse imports: geospark, graphframes, mleap, rsparkling, shinyML, spark.sas7bdat, sparkavro, sparkbq, sparkhail, sparklyr.nested, sparktf, sparkwarc, sparkxgb, variantspark
Reverse suggests: butcher, corrr, parsnip, resourcer, vip

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