sparklyr (version 1.7.1)

spark_dependency: 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`