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: |
1.7.8 |
| Depends: |
R (≥ 3.2) |
| Imports: |
assertthat, base64enc, config (≥ 0.2), DBI (≥ 1.0.0), dbplyr (≥ 2.2.1), digest, dplyr (≥ 1.0.9), ellipsis (≥ 0.1.0), forge, generics, globals, glue, httr (≥ 1.2.1), jsonlite (≥
1.4), methods, openssl (≥ 0.8), purrr, r2d3, rappdirs, rlang (≥ 0.1.4), rprojroot, rstudioapi (≥ 0.10), tibble, 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, RCurl, reshape2, shiny (≥ 1.0.1), parsnip, testthat |
| Published: |
2022-08-16 |
| 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.rstudio.com/ |
| NeedsCompilation: |
no |
| SystemRequirements: |
Spark: 1.6.x, 2.x, or 3.x |
| Materials: |
README NEWS |
| In views: |
Databases, ModelDeployment |
| CRAN checks: |
sparklyr results |