Movatterモバイル変換


[0]ホーム

URL:


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:1.9.3
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:2025-11-19
DOI:10.32614/CRAN.package.sparklyr
Author:Javier Luraschi [aut], Kevin KuoORCID iD [aut], Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao LiORCID iD [aut], Jozef Hajnala [ctb], Maciej SzymkiewiczORCID 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 | fileLICENSE
URL:https://spark.posit.co/
NeedsCompilation:no
SystemRequirements:Spark: 2.x, or 3.x, or 4.x
Materials:README,NEWS
In views:Databases,ModelDeployment
CRAN checks:sparklyr results

Documentation:

Reference manual:sparklyr.html ,sparklyr.pdf

Downloads:

Package source: sparklyr_1.9.3.tar.gz
Windows binaries: r-devel:sparklyr_1.9.3.zip, r-release:sparklyr_1.9.3.zip, r-oldrel:sparklyr_1.9.3.zip
macOS binaries: r-release (arm64):sparklyr_1.9.3.tgz, r-oldrel (arm64):sparklyr_1.9.3.tgz, r-release (x86_64):sparklyr_1.9.3.tgz, r-oldrel (x86_64):sparklyr_1.9.3.tgz
Old sources: sparklyr archive

Reverse dependencies:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=sparklyrto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp