spark-connections

From sparklyr v0.5.4 by Javier Luraschi

Manage Spark Connections

These routines allow you to manage your connections to Spark.

Usage

spark_connect(master, spark_home = Sys.getenv("SPARK_HOME"),
  method = c("shell", "livy", "test"), app_name = "sparklyr",
  version = NULL, hadoop_version = NULL, config = spark_config(),
  extensions = sparklyr::registered_extensions())
spark_connection_is_open(sc)
spark_disconnect(sc, ...)
spark_disconnect_all()

Arguments

master: Spark cluster url to connect to. Use "local" to connect to a local instance of Spark installed via spark_install.
spark_home: The path to a Spark installation. Defaults to the path provided by the SPARK_HOME environment variable. If SPARK_HOME is defined, it will be always be used unless the version parameter is specified to force the use of a locally installed version.
method: The method used to connect to Spark. Currently, only "shell" is supported.
app_name: The application name to be used while running in the Spark cluster.
version: The version of Spark to use. Only applicable to "local" Spark connections.
hadoop_version: The version of Hadoop to use. Only applicable to "local" Spark connections.
config: Custom configuration for the generated Spark connection. See spark_config for details.
extensions: Extension packages to enable for this connection. By default, all packages enabled through the use of sparklyr::register_extension will be passed here.
sc: A spark_connection.
...: Optional arguments; currently unused.

Examples

# NOT RUN {
sc <- spark_connect(master = "spark://HOST:PORT")
connection_is_open(sc)

spark_disconnect(sc)

# }

Documentation reproduced from package sparklyr, version 0.5.4, License: Apache License 2.0 | file LICENSE

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