pysparklyr: Provides a 'PySpark' Back-End for the 'sparklyr' Package

It enables 'sparklyr' to integrate with 'Spark Connect', and 'Databricks Connect' by providing a wrapper over the 'PySpark' 'python' library.

Version: 0.1.5
Imports: arrow, cli, DBI, dplyr, dbplyr, glue, purrr, reticulate (≥ 1.38), methods, rlang, sparklyr (≥ 1.8.5), tidyselect, fs, magrittr, tidyr, vctrs, processx, httr2, rstudioapi, rsconnect
Suggests: crayon, R6, testthat (≥ 3.0.0), tibble, withr
Published: 2024-06-24
DOI: 10.32614/CRAN.package.pysparklyr
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar at posit.co>
BugReports: https://github.com/mlverse/pysparklyr/issues
License: MIT + file LICENSE
URL: https://github.com/mlverse/pysparklyr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: pysparklyr results

Documentation:

Reference manual: pysparklyr.pdf

Downloads:

Package source: pysparklyr_0.1.5.tar.gz
Windows binaries: r-devel: pysparklyr_0.1.5.zip, r-release: pysparklyr_0.1.5.zip, r-oldrel: pysparklyr_0.1.5.zip
macOS binaries: r-release (arm64): pysparklyr_0.1.5.tgz, r-oldrel (arm64): pysparklyr_0.1.5.tgz, r-release (x86_64): pysparklyr_0.1.5.tgz, r-oldrel (x86_64): pysparklyr_0.1.5.tgz
Old sources: pysparklyr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pysparklyr to link to this page.