Convenience function to initialize a Kubernetes configuration instead
of spark_config(), exposes common properties to set in Kubernetes
clusters.
spark_config_kubernetes(
master,
version = "2.3.2",
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"),
...
)Kubernetes url to connect to, found by running kubectl cluster-info.
The version of Spark being used.
Container image to use to launch Spark and sparklyr. Also known
as spark.kubernetes.container.image.
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.
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.
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").
Should ports used in sparklyr be forwarded automatically through Kubernetes?
Default to TRUE which runs kubectl port-forward and pkill kubectl
on disconnection.
Number of executors to request while connecting.
A named list of additional entries to add to sparklyr.shell.conf.
Total seconds to wait before giving up on connection.
Ports to forward using kubectl.
Should the spark-defaults.conf get fixed? TRUE for Windows.
Additional parameters, currently not in use.