Package: pysparklyr 0.2.2

Edgar Ruiz

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.

Authors:Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]

pysparklyr_0.2.2.tar.gz
pysparklyr_0.2.2.zip(r-4.7)pysparklyr_0.2.2.zip(r-4.6)pysparklyr_0.2.2.zip(r-4.5)
pysparklyr_0.2.2.tgz(r-4.6-any)pysparklyr_0.2.2.tgz(r-4.5-any)
pysparklyr_0.2.2.tar.gz(r-4.7-any)pysparklyr_0.2.2.tar.gz(r-4.6-any)
pysparklyr_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pysparklyr/json (API)

# Install 'pysparklyr' in R:
install.packages('pysparklyr', repos = c('https://mlverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mlverse/pysparklyr/issues

On CRAN:

Conda:

databrickspysparksparkspark-connect

6.52 score 17 stars 34 scripts 909 downloads 10 exports 56 dependencies

Last updated from:efa57cf0fe. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK199
source / vignettesOK236
linux-release-x86_64OK184
macos-release-arm64OK99
macos-oldrel-arm64OK120
windows-develOK109
windows-releaseOK131
windows-oldrelOK108
wasm-releaseOK151

Exports:connection_databricks_shinyappdeploy_databricksinstall_databricksinstall_pysparkinstalled_componentsml_prepare_datasetpyspark_configrequirements_writespark_connect_service_startspark_connect_service_stop

Dependencies:arrowaskpassassertthatbitbit64blobclicodetoolsconfigconnectcredscpp11curlDBIdbplyrdplyrfsgenericsglobalsglueherehttrhttr2jsonlitelatticelifecyclemagrittrMatrixmimeopensslpillarpkgconfigpngprocessxpspurrrR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapisparklyrstringistringrsystibbletidyrtidyselectutf8uuidvctrswithrxml2yaml