Manage Spark Connections

Arguments
Examples

These routines allow you to manage your connections to Spark.

spark_connect(master = "local", spark_home = Sys.getenv("SPARK_HOME"),
  method = c("shell", "livy", "databricks", "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.
...	Optional arguments; currently unused.
sc	A `spark_connection`.

Examples


sc <- spark_connect(master = "spark://HOST:PORT")
connection_is_open(sc)
#> [1] TRUE

spark_disconnect(sc)