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spark-operator

A Helm chart for Spark on Kubernetes operator

Introduction

This chart bootstraps a Kubernetes Operator for Apache Spark deployment using the Helm package manager.

Prerequisites

  • Helm >= 3
  • Kubernetes >= 1.13

Previous Helm Chart

The previous spark-operator Helm chart hosted at helm/charts has been moved to this repository in accordance with the Deprecation timeline. Note that a few things have changed between this version and the old version:

  • This repository only supports Helm chart installations using Helm 3+ since the apiVersion on the chart has been marked as v2.
  • Previous versions of the Helm chart have not been migrated, and the version has been set to 1.0.0 at the onset. If you are looking for old versions of the chart, it's best to run helm pull incubator/sparkoperator --version <your-version> until you are ready to move to this repository's version.
  • Several configuration properties have been changed, carefully review the values section below to make sure you're aligned with the new values.

Installing the chart

$ helm repo add spark-operator https://googlecloudplatform.github.io/spark-on-k8s-operator

$ helm install my-release spark-operator/spark-operator

This will create a release of spark-operator in the default namespace. To install in a different one:

$ helm install -n spark my-release spark-operator/spark-operator

Note that helm will fail to install if the namespace doesn't exist. Either create the namespace beforehand or pass the --create-namespace flag to the helm install command.

Uninstalling the chart

To uninstall my-release:

$ helm uninstall my-release

The command removes all the Kubernetes components associated with the chart and deletes the release, except for the crds, those will have to be removed manually.

Values

Key Type Default Description
affinity object {} Affinity for pod assignment
batchScheduler.enable bool false Enable batch scheduler for spark jobs scheduling. If enabled, users can specify batch scheduler name in spark application
controllerThreads int 10 Operator concurrency, higher values might increase memory usage
fullnameOverride string "" String to override release name
image.pullPolicy string "IfNotPresent" Image pull policy
image.repository string "gcr.io/spark-operator/spark-operator" Image repository
image.tag string "" Overrides the image tag whose default is the chart appVersion.
imagePullSecrets list [] Image pull secrets
ingressUrlFormat string "" Ingress URL format
istio.enabled bool false When using istio, spark jobs need to run without a sidecar to properly terminate
leaderElection.lockName string "spark-operator-lock" Leader election lock name. Ref: https://github.com/GoogleCloudPlatform/spark-on-k8s-operator/blob/master/docs/user-guide.md#enabling-leader-election-for-high-availability.
leaderElection.lockNamespace string "" Optionally store the lock in another namespace. Defaults to operator's namespace
logLevel int 2 Set higher levels for more verbose logging
metrics.enable bool true Enable prometheus metric scraping
metrics.endpoint string "/metrics" Metrics serving endpoint
metrics.port int 10254 Metrics port
metrics.portName string metrics Metrics port name
metrics.prefix string "" Metric prefix, will be added to all exported metrics
nameOverride string "" String to partially override spark-operator.fullname template (will maintain the release name)
nodeSelector object {} Node labels for pod assignment
podAnnotations object {} Additional annotations to add to the pod
podMonitor.enable bool false Submit a prometheus pod monitor for operator's pod. Note that prometheus metrics should be enabled as well.
podMonitor.labels object {} Pod monitor labels
podMonitor.jobLabel string spark-operator-podmonitor The label to use to retrieve the job name from
podMonitor.podMetricsEndpoint.scheme string http Prometheus metrics endpoint scheme
podMonitor.podMetricsEndpoint.interval string 5s Interval at which metrics should be scraped
podSecurityContext object {} Pod security context
rbac.create bool true Create and use rbac resources
replicaCount int 1 Desired number of pods, leaderElection will be enabled if this is greater than 1
resourceQuotaEnforcement.enable bool false Whether to enable the ResourceQuota enforcement for SparkApplication resources. Requires the webhook to be enabled by setting webhook.enable to true. Ref: https://github.com/GoogleCloudPlatform/spark-on-k8s-operator/blob/master/docs/user-guide.md#enabling-resource-quota-enforcement.
resources object {} Pod resource requests and limits
resyncInterval int 30 Operator resync interval. Note that the operator will respond to events (e.g. create, update) unrelated to this setting
securityContext object {} Operator container security context
serviceAccounts.spark.create bool true Create a service account for spark apps
serviceAccounts.spark.name string "" Optional name for the spark service account
serviceAccounts.sparkoperator.create bool true Create a service account for the operator
serviceAccounts.sparkoperator.name string "" Optional name for the operator service account
sparkJobNamespace string "" Set this if running spark jobs in a different namespace than the operator
tolerations list [] List of node taints to tolerate
webhook.enable bool false Enable webhook server
webhook.namespaceSelector string "" The webhook server will only operate on namespaces with this label, specified in the form key1=value1,key2=value2. Empty string (default) will operate on all namespaces
webhook.port int 8080 Webhook service port
labelSelectorFilter string "" Set this if only operator watches spark jobs with certain labels are allowed

Maintainers

Name Email Url
yuchaoran2011 [email protected]