R: Initialize a new Spark Context.

sparkR.init {SparkR}

R Documentation

Initialize a new Spark Context.

Description

This function initializes a new SparkContext.

Usage

sparkR.init(master = "", appName = "SparkR",
  sparkHome = Sys.getenv("SPARK_HOME"), sparkEnvir = list(),
  sparkExecutorEnv = list(), sparkJars = "", sparkRLibDir = "")

Arguments

`master`	The Spark master URL.
`appName`	Application name to register with cluster manager
`sparkHome`	Spark Home directory
`sparkEnvir`	Named list of environment variables to set on worker nodes.
`sparkExecutorEnv`	Named list of environment variables to be used when launching executors.
`sparkJars`	Character string vector of jar files to pass to the worker nodes.
`sparkRLibDir`	The path where R is installed on the worker nodes.
`sparkRBackendPort`	The port to use for SparkR JVM Backend.

Examples

## Not run: 
##D sc <- sparkR.init("local[2]", "SparkR", "/home/spark")
##D sc <- sparkR.init("local[2]", "SparkR", "/home/spark",
##D                  list(spark.executor.memory="1g"))
##D sc <- sparkR.init("yarn-client", "SparkR", "/home/spark",
##D                  list(spark.executor.memory="1g"),
##D                  list(LD_LIBRARY_PATH="/directory of JVM libraries (libjvm.so) on workers/"),
##D                  c("jarfile1.jar","jarfile2.jar"))
## End(Not run)

[Package SparkR version 0.1 Index]