sparkR.init {SparkR}

R Documentation

(Deprecated) 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 = "",
  sparkPackages = ""
)

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 vector of jar files to pass to the worker nodes
sparkPackages	Character vector of package coordinates

Note

sparkR.init since 1.4.0

See Also

sparkR.session

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="4g"),
##D                  list(LD_LIBRARY_PATH="/directory of JVM libraries (libjvm.so) on workers/"),
##D                  c("one.jar", "two.jar", "three.jar"),
##D                  c("com.databricks:spark-avro_2.11:2.0.1"))
## End(Not run)

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