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pysparklyr  

Provides a 'PySpark' Back-End for the 'sparklyr' Package
View on CRAN: Click here


Download and install pysparklyr package within the R console
Install from CRAN:
install.packages("pysparklyr")

Install from Github:
library("remotes")
install_github("cran/pysparklyr")

Install by package version:
library("remotes")
install_version("pysparklyr", "0.1.9")



Attach the package and use:
library("pysparklyr")
Maintained by
Edgar Ruiz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-04
Latest Update: 2025-05-19
Description:
It enables 'sparklyr' to integrate with 'Spark Connect', and 'Databricks Connect' by providing a wrapper over the 'PySpark' 'python' library.
How to cite:
Edgar Ruiz (2023). pysparklyr: Provides a 'PySpark' Back-End for the 'sparklyr' Package. R package version 0.1.9, https://cran.r-project.org/web/packages/pysparklyr. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1.0 (2023-10-04 18:10), 0.1.1 (2023-11-10 02:20), 0.1.2 (2023-12-06 01:40), 0.1.3 (2024-01-12 23:10), 0.1.4 (2024-04-16 20:30), 0.1.5 (2024-06-24 21:20), 0.1.6 (2025-02-14 15:50), 0.1.7 (2025-03-24 23:50), 0.1.8 (2025-05-19 22:50), 0.1.9 (2025-10-07 18:50)
Other packages that cited pysparklyr R package
View pysparklyr citation profile
Other R packages that pysparklyr depends, imports, suggests or enhances
Complete documentation for pysparklyr
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