sparklyr: R Interface to Apache Spark

R interface to Apache Spark, a fast and general engine for big data processing, see <https://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: 1.8.6
Depends: R (≥ 3.2)
Imports: config (≥ 0.2), DBI (≥ 1.0.0), dbplyr (≥ 2.5.0), dplyr (≥ 1.0.9), generics, globals, glue, httr (≥ 1.2.1), jsonlite (≥ 1.4), methods, openssl (≥ 0.8), purrr, rlang (≥ 0.1.4), rstudioapi (≥ 0.10), tidyr (≥ 1.2.0), tidyselect, uuid, vctrs, withr, xml2
Suggests: arrow (≥ 0.17.0), broom, diffobj, foreach, ggplot2, iterators, janeaustenr, Lahman, mlbench, nnet, nycflights13, R6, r2d3, RCurl, reshape2, shiny (≥ 1.0.1), parsnip, testthat, rprojroot
Published: 2024-04-29
DOI: NA
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 ORCID iD [aut], Jozef Hajnala [ctb], Maciej Szymkiewicz ORCID iD [ctb], Wil Davis [ctb], Edgar Ruiz [aut, cre], RStudio [cph], The Apache Software Foundation [aut, cph]
Maintainer: Edgar Ruiz <edgar at rstudio.com>
BugReports: https://github.com/sparklyr/sparklyr/issues
License: Apache License 2.0 | file LICENSE
URL: https://spark.posit.co/
NeedsCompilation: no
SystemRequirements: Spark: 2.x, or 3.x
Materials: README NEWS
In views: Databases, ModelDeployment
CRAN checks: sparklyr results

Documentation:

Reference manual: sparklyr.pdf

Downloads:

Package source: sparklyr_1.8.6.tar.gz
Windows binaries: r-devel: sparklyr_1.8.6.zip, r-release: sparklyr_1.8.6.zip, r-oldrel: sparklyr_1.8.6.zip
macOS binaries: r-release (arm64): sparklyr_1.8.6.tgz, r-oldrel (arm64): sparklyr_1.8.6.tgz, r-release (x86_64): sparklyr_1.8.6.tgz, r-oldrel (x86_64): sparklyr_1.8.6.tgz
Old sources: sparklyr archive

Reverse dependencies:

Reverse depends: s3.resourcer
Reverse imports: apache.sedona, catalog, geospark, graphframes, MSstatsBig, pathling, pysparklyr, rsparkling, shinyML, spark.sas7bdat, sparkavro, sparkbq, sparkhail, sparklyr.flint, sparklyr.nested, sparktf, sparkwarc, sparkxgb, variantspark
Reverse suggests: butcher, corrr, finnts, mlflow, modeltime, parsnip, pointblank, resourcer
Reverse enhances: vip

Linking:

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