spark_dependency: Define a Spark dependency

In rstudio/sparklyr: R Interface to Apache Spark

Define a Spark dependency

Description

Define a Spark dependency consisting of a set of custom JARs, Spark packages, and customized dbplyr SQL translation env.

Usage

spark_dependency(
  jars = NULL,
  packages = NULL,
  initializer = NULL,
  catalog = NULL,
  repositories = NULL,
  dbplyr_sql_variant = NULL,
  ...
)

Arguments

jars	Character vector of full paths to JAR files.
packages	Character vector of Spark packages names.
initializer	Optional callback function called when initializing a connection.
catalog	Optional location where extension JAR files can be downloaded for Livy.
repositories	Character vector of Spark package repositories.
dbplyr_sql_variant	Customization of dbplyr SQL translation env. Must be a named list of the following form: list( scalar = list(scalar_fn1 = ..., scalar_fn2 = ..., <etc>), aggregate = list(agg_fn1 = ..., agg_fn2 = ..., <etc>), window = list(wnd_fn1 = ..., wnd_fn2 = ..., <etc>) ) See sql_variant for details.
...	Additional optional arguments.

Value

An object of type 'spark_dependency'

rstudio/sparklyr documentation built on Sept. 18, 2024, 6:10 a.m.