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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 |
Reference manual: | pysparklyr.pdf |
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 |
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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.