Kubernetes Configuration

spark_config_kubernetes

Description

Convenience function to initialize a Kubernetes configuration instead of spark_config(), exposes common properties to set in Kubernetes clusters.

Usage

spark_config_kubernetes(
  master,
  version = "3.2.3",
  image = "spark:sparklyr",
  driver = random_string("sparklyr-"),
  account = "spark",
  jars = "local:///opt/sparklyr",
  forward = TRUE,
  executors = NULL,
  conf = NULL,
  timeout = 120,
  ports = c(8880, 8881, 4040),
  fix_config = identical(.Platform$OS.type, "windows"),
  ...
)

Arguments

Arguments	Description
master	Kubernetes url to connect to, found by running kubectl cluster-info.
version	The version of Spark being used.
image	Container image to use to launch Spark and sparklyr. Also known as spark.kubernetes.container.image.
driver	Name of the driver pod. If not set, the driver pod name is set to “sparklyr” suffixed by id to avoid name conflicts. Also known as spark.kubernetes.driver.pod.name.
account	Service account that is used when running the driver pod. The driver pod uses this service account when requesting executor pods from the API server. Also known as spark.kubernetes.authenticate.driver.serviceAccountName.
jars	Path to the sparklyr jars; either, a local path inside the container image with the sparklyr jars copied when the image was created or, a path accesible by the container where the sparklyr jars were copied. You can find a path to the sparklyr jars by running system.file("java/", package = "sparklyr").
forward	Should ports used in sparklyr be forwarded automatically through Kubernetes? Default to TRUE which runs kubectl port-forward and pkill kubectl on disconnection.
executors	Number of executors to request while connecting.
conf	A named list of additional entries to add to sparklyr.shell.conf.
timeout	Total seconds to wait before giving up on connection.
ports	Ports to forward using kubectl.
fix_config	Should the spark-defaults.conf get fixed? TRUE for Windows.
…	Additional parameters, currently not in use.