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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: | 10.32614/CRAN.package.sparklyr |
Author: | Javier Luraschi [aut], Kevin Kuo [aut], Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut], Jozef Hajnala [ctb], Maciej Szymkiewicz [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 |
Reference manual: | sparklyr.pdf |
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 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, orbital, parsnip, pointblank, resourcer |
Reverse enhances: | vip |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.