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 Kuo |
| 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, or 4.x |
| Materials: | README, NEWS |
| In views: | Databases, ModelDeployment |
| CRAN checks: | sparklyr results |
| Reference manual: | sparklyr.html , sparklyr.pdf |
| 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 depends: | s3.resourcer |
| Reverse imports: | apache.sedona, bigMICE, catalog, geospark, graphframes, MSstatsBig, pathling, pysparklyr, rollup, rsparkling, shinyML, spark.sas7bdat, sparkavro, sparkbq, sparkhail, sparklyr.flint, sparklyr.nested, sparktf, sparkxgb, stddiff.spark, variantspark, wearables |
| Reverse suggests: | butcher, corrr, finnts, mlflow, modeltime, OmopOnSpark, orbital, parsnip, pointblank, resourcer |
| Reverse enhances: | vip |
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