# Copyright VMware, Inc.
# SPDX-License-Identifier: APACHE-2.0

## @section Global parameters
## Global Docker image parameters
## Please, note that this will override the image parameters, including dependencies, configured to use the global value
## Current available global Docker image parameters: imageRegistry, imagePullSecrets and storageClass
##

## @param global.imageRegistry Global Docker image registry
## @param global.imagePullSecrets Global Docker registry secret names as an array
## @param global.storageClass Global StorageClass for Persistent Volume(s)
##
global:
  imageRegistry: ""
  ## E.g.
  ## imagePullSecrets:
  ##   - myRegistryKeySecretName
  ##
  imagePullSecrets: []
  storageClass: ""

## @section Common parameters
##

## @param kubeVersion Force target Kubernetes version (using Helm capabilities if not set)
##
kubeVersion: ""
## @param nameOverride String to partially override common.names.fullname template (will maintain the release name)
##
nameOverride: ""
## @param fullnameOverride String to fully override common.names.fullname template
##
fullnameOverride: ""
## @param namespaceOverride String to fully override common.names.namespace
##
namespaceOverride: ""
## @param commonLabels Labels to add to all deployed objects
##
commonLabels: {}
## @param commonAnnotations Annotations to add to all deployed objects
##
commonAnnotations: {}
## @param clusterDomain Kubernetes cluster domain name
##
clusterDomain: cluster.local
## @param extraDeploy Array of extra objects to deploy with the release
##
extraDeploy: []
## @param initScripts Dictionary of init scripts. Evaluated as a template.
## Specify dictionary of scripts to be run at first boot
## Alternatively, you can put your scripts under the files/docker-entrypoint-initdb.d directory
## For example:
## initScripts:
##   my_init_script.sh: |
##      #!/bin/sh
##      echo "Do something."
##
initScripts: {}
## @param initScriptsCM ConfigMap with the init scripts. Evaluated as a template.
## Note: This will override initScripts
##
initScriptsCM: ""
## @param initScriptsSecret Secret containing `/docker-entrypoint-initdb.d` scripts to be executed at initialization time that contain sensitive data. Evaluated as a template.
##
initScriptsSecret: ""
## Enable diagnostic mode in the deployment
##
diagnosticMode:
  ## @param diagnosticMode.enabled Enable diagnostic mode (all probes will be disabled and the command will be overridden)
  ##
  enabled: false
  ## @param diagnosticMode.command Command to override all containers in the deployment
  ##
  command:
    - sleep
  ## @param diagnosticMode.args Args to override all containers in the deployment
  ##
  args:
    - infinity

## @section Spark parameters
##

## Bitnami Spark image version
## ref: https://hub.docker.com/r/bitnami/spark/tags/
## @param image.registry Spark image registry
## @param image.repository Spark image repository
## @param image.tag Spark image tag (immutable tags are recommended)
## @param image.digest Spark image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag
## @param image.pullPolicy Spark image pull policy
## @param image.pullSecrets Specify docker-registry secret names as an array
## @param image.debug Enable image debug mode
##
image:
  registry: docker.io
  repository: bitnami/spark
  tag: 3.4.1-debian-11-r6
  digest: ""
  ## Specify a imagePullPolicy
  ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
  ## ref: https://kubernetes.io/docs/user-guide/images/#pre-pulling-images
  ##
  pullPolicy: IfNotPresent
  ## Optionally specify an array of imagePullSecrets.
  ## Secrets must be manually created in the namespace.
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
  ## e.g:
  ## pullSecrets:
  ##   - myRegistryKeySecretName
  ##
  pullSecrets: []
  ## Set to true if you would like to see extra information on logs
  ## It turns BASH and/or NAMI debugging in the image
  ##
  debug: false
## @param hostNetwork Enable HOST Network
## If hostNetwork is true, then dnsPolicy is set to ClusterFirstWithHostNet
##
hostNetwork: false

## @section Spark master parameters
##

## Spark master specific configuration
##
master:
  ## @param master.existingConfigmap The name of an existing ConfigMap with your custom configuration for master
  ##
  existingConfigmap: ""
  ## @param master.containerPorts.http Specify the port where the web interface will listen on the master over HTTP
  ## @param master.containerPorts.https Specify the port where the web interface will listen on the master over HTTPS
  ## @param master.containerPorts.cluster Specify the port where the master listens to communicate with workers
  ##
  containerPorts:
    http: 8080
    https: 8480
    cluster: 7077
  ## @param master.hostAliases Deployment pod host aliases
  ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
  ##
  hostAliases: []
  ## @param master.extraContainerPorts Specify the port where the running jobs inside the masters listens
  ## ref: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.20/#containerport-v1-core
  ## e.g:
  ## - name: myapp
  ##   containerPort: 8000
  ##   protocol: TCP
  ##
  extraContainerPorts: []
  ## @param master.daemonMemoryLimit Set the memory limit for the master daemon
  ##
  daemonMemoryLimit: ""
  ## @param master.configOptions Use a string to set the config options for in the form "-Dx=y"
  ##
  configOptions: ""
  ## @param master.extraEnvVars Extra environment variables to pass to the master container
  ## For example:
  ## extraEnvVars:
  ##  - name: SPARK_DAEMON_JAVA_OPTS
  ##    value: -Dx=y
  ##
  extraEnvVars: []
  ## @param master.extraEnvVarsCM Name of existing ConfigMap containing extra env vars for master nodes
  ##
  extraEnvVarsCM: ""
  ## @param master.extraEnvVarsSecret Name of existing Secret containing extra env vars for master nodes
  ##
  extraEnvVarsSecret: ""
  ## Kubernetes Pods Security Context
  ## https://kubernetes.io/docs/tasks/configure-pod-container/security-context/
  ## @param master.podSecurityContext.enabled Enable security context
  ## @param master.podSecurityContext.fsGroup Set master pod's Security Context Group ID
  ## @param master.podSecurityContext.runAsUser Set master pod's Security Context User ID
  ## @param master.podSecurityContext.runAsGroup Set master pod's Security Context Group ID
  ## @param master.podSecurityContext.seLinuxOptions Set master pod's Security Context SELinux options
  ##
  podSecurityContext:
    enabled: true
    fsGroup: 1001
    runAsUser: 1001
    runAsGroup: 0
    seLinuxOptions: {}
  ## Configure Container Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
  ## @param master.containerSecurityContext.enabled Enabled master containers' Security Context
  ## @param master.containerSecurityContext.runAsUser Set master containers' Security Context runAsUser
  ## @param master.containerSecurityContext.runAsNonRoot Set master containers' Security Context runAsNonRoot
  ## @param master.containerSecurityContext.readOnlyRootFilesystem Set master containers' Security Context runAsNonRoot
  ##
  containerSecurityContext:
    enabled: true
    runAsUser: 1001
    runAsNonRoot: true
    readOnlyRootFilesystem: false
  ## @param master.command Override default container command (useful when using custom images)
  ##
  command: []
  ## @param master.args Override default container args (useful when using custom images)
  ##
  args: []
  ## @param master.podAnnotations Annotations for pods in StatefulSet
  ##
  podAnnotations: {}
  ## @param master.podLabels Extra labels for pods in StatefulSet
  ##
  podLabels: {}
  ## @param master.podAffinityPreset Spark master pod affinity preset. Ignored if `master.affinity` is set. Allowed values: `soft` or `hard`
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAffinityPreset: ""
  ## @param master.podAntiAffinityPreset Spark master pod anti-affinity preset. Ignored if `master.affinity` is set. Allowed values: `soft` or `hard`
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAntiAffinityPreset: soft
  ## Spark master node affinity preset
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
  ##
  nodeAffinityPreset:
    ## @param master.nodeAffinityPreset.type Spark master node affinity preset type. Ignored if `master.affinity` is set. Allowed values: `soft` or `hard`
    ##
    type: ""
    ## @param master.nodeAffinityPreset.key Spark master node label key to match Ignored if `master.affinity` is set.
    ## E.g.
    ## key: "kubernetes.io/e2e-az-name"
    ##
    key: ""
    ## @param master.nodeAffinityPreset.values Spark master node label values to match. Ignored if `master.affinity` is set.
    ## E.g.
    ## values:
    ##   - e2e-az1
    ##   - e2e-az2
    ##
    values: []
  ## @param master.affinity Spark master affinity for pod assignment
  ## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
  ## Note: master.podAffinityPreset, master.podAntiAffinityPreset, and master.nodeAffinityPreset will be ignored when it's set
  ##
  affinity: {}
  ## @param master.nodeSelector Spark master node labels for pod assignment
  ## ref: https://kubernetes.io/docs/user-guide/node-selection/
  ##
  nodeSelector: {}
  ## @param master.tolerations Spark master tolerations for pod assignment
  ## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  ##
  tolerations: []
  ## @param master.updateStrategy.type Master statefulset strategy type.
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#strategy
  ## e.g:
  ## updateStrategy:
  ##  type: RollingUpdate
  ##  rollingUpdate:
  ##    maxSurge: 25%
  ##    maxUnavailable: 25%
  ##
  updateStrategy:
    type: RollingUpdate
  ## @param master.priorityClassName master pods' priorityClassName
  ##
  priorityClassName: ""
  ## @param master.topologySpreadConstraints Topology Spread Constraints for pod assignment spread across your cluster among failure-domains. Evaluated as a template
  ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods
  ##
  topologySpreadConstraints: []
  ## @param master.schedulerName Name of the k8s scheduler (other than default) for master pods
  ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
  ##
  schedulerName: ""
  ## @param master.terminationGracePeriodSeconds Seconds Redmine pod needs to terminate gracefully
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod/#termination-of-pods
  ##
  terminationGracePeriodSeconds: ""
  ## @param master.lifecycleHooks for the master container(s) to automate configuration before or after startup
  ##
  lifecycleHooks: {}
  ## @param master.extraVolumes Optionally specify extra list of additional volumes for the master pod(s)
  ##
  extraVolumes: []
  ## @param master.extraVolumeMounts Optionally specify extra list of additional volumeMounts for the master container(s)
  ##
  extraVolumeMounts: []
  ## @param master.extraVolumeClaimTemplates Optionally specify extra list of volumesClaimTemplates for the master statefulset
  ##
  extraVolumeClaimTemplates: []
  ## Container resource requests and limits
  ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
  ## We usually recommend not to specify default resources and to leave this as a conscious
  ## choice for the user. This also increases chances charts run on environments with little
  ## resources, such as Minikube. If you do want to specify resources, uncomment the following
  ## lines, adjust them as necessary, and remove the curly braces after 'resources:'.
  ## @param master.resources.limits The resources limits for the container
  ## @param master.resources.requests The requested resources for the container
  ##
  resources:
    ## Example:
    ## limits:
    ##    cpu: 250m
    ##    memory: 256Mi
    ##
    limits: {}
    ## Examples:
    ## requests:
    ##    cpu: 250m
    ##    memory: 256Mi
    ##
    requests: {}
  ## Configure extra options for liveness probe
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes
  ## @param master.livenessProbe.enabled Enable livenessProbe
  ## @param master.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
  ## @param master.livenessProbe.periodSeconds Period seconds for livenessProbe
  ## @param master.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
  ## @param master.livenessProbe.failureThreshold Failure threshold for livenessProbe
  ## @param master.livenessProbe.successThreshold Success threshold for livenessProbe
  ##
  livenessProbe:
    enabled: true
    initialDelaySeconds: 180
    periodSeconds: 20
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## Configure extra options for readiness probe
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes
  ## @param master.readinessProbe.enabled Enable readinessProbe
  ## @param master.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
  ## @param master.readinessProbe.periodSeconds Period seconds for readinessProbe
  ## @param master.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
  ## @param master.readinessProbe.failureThreshold Failure threshold for readinessProbe
  ## @param master.readinessProbe.successThreshold Success threshold for readinessProbe
  ##
  readinessProbe:
    enabled: true
    initialDelaySeconds: 30
    periodSeconds: 10
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## Configure extra options for startup probe
  ## @param master.startupProbe.enabled Enable startupProbe
  ## @param master.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
  ## @param master.startupProbe.periodSeconds Period seconds for startupProbe
  ## @param master.startupProbe.timeoutSeconds Timeout seconds for startupProbe
  ## @param master.startupProbe.failureThreshold Failure threshold for startupProbe
  ## @param master.startupProbe.successThreshold Success threshold for startupProbe
  ##
  startupProbe:
    enabled: false
    initialDelaySeconds: 30
    periodSeconds: 10
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## @param master.customLivenessProbe Custom livenessProbe that overrides the default one
  ##
  customLivenessProbe: {}
  ## @param master.customReadinessProbe Custom readinessProbe that overrides the default one
  ##
  customReadinessProbe: {}
  ## @param master.customStartupProbe Custom startupProbe that overrides the default one
  ##
  customStartupProbe: {}
  ## @param master.sidecars Add additional sidecar containers to the master pod(s)
  ## e.g:
  ## sidecars:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  sidecars: []
  ## @param master.initContainers Add initContainers to the master pods.
  ## Example:
  ## initContainers:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  initContainers: []

## @section Spark worker parameters
##

## Spark worker specific configuration
##
worker:
  ## @param worker.existingConfigmap The name of an existing ConfigMap with your custom configuration for workers
  ##
  existingConfigmap: ""
  ## @param worker.containerPorts.http Specify the port where the web interface will listen on the worker over HTTP
  ## @param worker.containerPorts.https Specify the port where the web interface will listen on the worker over HTTPS
  ## @param worker.containerPorts.cluster Specify the port where the worker listens to communicate with workers
  ##
  containerPorts:
    http: 8080
    https: 8480
    cluster: ""
  ## @param worker.hostAliases Add deployment host aliases
  ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
  ##
  hostAliases: []
  ## @param worker.extraContainerPorts Specify the port where the running jobs inside the workers listens
  ## ref: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.20/#containerport-v1-core
  ## e.g:
  ## - name: myapp
  ##   containerPort: 8000
  ##   protocol: TCP
  ##
  extraContainerPorts: []
  ## @param worker.daemonMemoryLimit Set the memory limit for the worker daemon
  ##
  daemonMemoryLimit: ""
  ## @param worker.memoryLimit Set the maximum memory the worker is allowed to use
  ##
  memoryLimit: ""
  ## @param worker.coreLimit Se the maximum number of cores that the worker can use
  ##
  coreLimit: ""
  ## @param worker.dir Set a custom working directory for the application
  ##
  dir: ""
  ## @param worker.javaOptions Set options for the JVM in the form `-Dx=y`
  ##
  javaOptions: ""
  ## @param worker.configOptions Set extra options to configure the worker in the form `-Dx=y`
  ##
  configOptions: ""
  ## @param worker.extraEnvVars An array to add extra env vars
  ## For example:
  ## extraEnvVars:
  ##  - name: SPARK_DAEMON_JAVA_OPTS
  ##    value: -Dx=y
  ##
  extraEnvVars: []
  ## @param worker.extraEnvVarsCM Name of existing ConfigMap containing extra env vars for worker nodes
  ##
  extraEnvVarsCM: ""
  ## @param worker.extraEnvVarsSecret Name of existing Secret containing extra env vars for worker nodes
  ##
  extraEnvVarsSecret: ""
  ## @param worker.replicaCount Number of spark workers (will be the minimum number when autoscaling is enabled)
  ##
  replicaCount: 2
  ## Kubernetes Pods Security Context
  ## https://kubernetes.io/docs/tasks/configure-pod-container/security-context/
  ## @param worker.podSecurityContext.enabled Enable security context
  ## @param worker.podSecurityContext.fsGroup Group ID for the container
  ## @param worker.podSecurityContext.runAsUser User ID for the container
  ## @param worker.podSecurityContext.runAsGroup Group ID for the container
  ## @param worker.podSecurityContext.seLinuxOptions SELinux options for the container
  ##
  podSecurityContext:
    enabled: true
    fsGroup: 1001
    runAsUser: 1001
    runAsGroup: 0
    seLinuxOptions: {}
  ## Configure Container Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
  ## @param worker.containerSecurityContext.enabled Enabled worker containers' Security Context
  ## @param worker.containerSecurityContext.runAsUser Set worker containers' Security Context runAsUser
  ## @param worker.containerSecurityContext.runAsNonRoot Set worker containers' Security Context runAsNonRoot
  ## @param worker.containerSecurityContext.readOnlyRootFilesystem Set worker containers' Security Context runAsNonRoot
  ##
  containerSecurityContext:
    enabled: true
    runAsUser: 1001
    runAsNonRoot: true
    readOnlyRootFilesystem: false
  ## @param worker.command Override default container command (useful when using custom images)
  ##
  command: []
  ## @param worker.args Override default container args (useful when using custom images)
  ##
  args: []
  ## @param worker.podAnnotations Annotations for pods in StatefulSet
  ##
  podAnnotations: {}
  ## @param worker.podLabels Extra labels for pods in StatefulSet
  ##
  podLabels: {}
  ## @param worker.podAffinityPreset Spark worker pod affinity preset. Ignored if `worker.affinity` is set. Allowed values: `soft` or `hard`
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAffinityPreset: ""
  ## @param worker.podAntiAffinityPreset Spark worker pod anti-affinity preset. Ignored if `worker.affinity` is set. Allowed values: `soft` or `hard`
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAntiAffinityPreset: soft
  ## Spark worker node affinity preset
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
  ##
  nodeAffinityPreset:
    ## @param worker.nodeAffinityPreset.type Spark worker node affinity preset type. Ignored if `worker.affinity` is set. Allowed values: `soft` or `hard`
    ##
    type: ""
    ## @param worker.nodeAffinityPreset.key Spark worker node label key to match Ignored if `worker.affinity` is set.
    ## E.g.
    ## key: "kubernetes.io/e2e-az-name"
    ##
    key: ""
    ## @param worker.nodeAffinityPreset.values Spark worker node label values to match. Ignored if `worker.affinity` is set.
    ## E.g.
    ## values:
    ##   - e2e-az1
    ##   - e2e-az2
    ##
    values: []
  ## @param worker.affinity Spark worker affinity for pod assignment
  ## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
  ## Note: worker.podAffinityPreset, worker.podAntiAffinityPreset, and worker.nodeAffinityPreset will be ignored when it's set
  ##
  affinity: {}
  ## @param worker.nodeSelector Spark worker node labels for pod assignment
  ## ref: https://kubernetes.io/docs/user-guide/node-selection/
  ##
  nodeSelector: {}
  ## @param worker.tolerations Spark worker tolerations for pod assignment
  ## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  ##
  tolerations: []
  ## @param worker.updateStrategy.type Worker statefulset strategy type.
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#strategy
  ## e.g:
  ## updateStrategy:
  ##  type: RollingUpdate
  ##  rollingUpdate:
  ##    maxSurge: 25%
  ##    maxUnavailable: 25%
  ##
  updateStrategy:
    type: RollingUpdate
  ## @param worker.podManagementPolicy Statefulset Pod Management Policy Type
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#pod-management-policies
  ##
  podManagementPolicy: OrderedReady
  ## @param worker.priorityClassName worker pods' priorityClassName
  ##
  priorityClassName: ""
  ## @param worker.topologySpreadConstraints Topology Spread Constraints for pod assignment spread across your cluster among failure-domains. Evaluated as a template
  ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods
  ##
  topologySpreadConstraints: []
  ## @param worker.schedulerName Name of the k8s scheduler (other than default) for worker pods
  ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
  ##
  schedulerName: ""
  ## @param worker.terminationGracePeriodSeconds Seconds Redmine pod needs to terminate gracefully
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod/#termination-of-pods
  ##
  terminationGracePeriodSeconds: ""
  ## @param worker.lifecycleHooks for the worker container(s) to automate configuration before or after startup
  ##
  lifecycleHooks: {}
  ## @param worker.extraVolumes Optionally specify extra list of additional volumes for the worker pod(s)
  ##
  extraVolumes: []
  ## @param worker.extraVolumeMounts Optionally specify extra list of additional volumeMounts for the master container(s)
  ##
  extraVolumeMounts: []
  ## @param worker.extraVolumeClaimTemplates Optionally specify extra list of volumesClaimTemplates for the worker statefulset
  ##
  extraVolumeClaimTemplates: []
  ## Container resource requests and limits
  ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
  ## We usually recommend not to specify default resources and to leave this as a conscious
  ## choice for the user. This also increases chances charts run on environments with little
  ## resources, such as Minikube. If you do want to specify resources, uncomment the following
  ## lines, adjust them as necessary, and remove the curly braces after 'resources:'.
  ## @param worker.resources.limits The resources limits for the container
  ## @param worker.resources.requests The requested resources for the container
  ##
  resources:
    ## Example:
    ## limits:
    ##    cpu: 250m
    ##    memory: 256Mi
    ##
    limits: {}
    ## Examples:
    ## requests:
    ##    cpu: 250m
    ##    memory: 256Mi
    ##
    requests: {}
  ## Configure extra options for liveness probe
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes
  ## @param worker.livenessProbe.enabled Enable livenessProbe
  ## @param worker.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
  ## @param worker.livenessProbe.periodSeconds Period seconds for livenessProbe
  ## @param worker.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
  ## @param worker.livenessProbe.failureThreshold Failure threshold for livenessProbe
  ## @param worker.livenessProbe.successThreshold Success threshold for livenessProbe
  ##
  livenessProbe:
    enabled: true
    initialDelaySeconds: 180
    periodSeconds: 20
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## Configure extra options for readiness probe
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes
  ## @param worker.readinessProbe.enabled Enable readinessProbe
  ## @param worker.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
  ## @param worker.readinessProbe.periodSeconds Period seconds for readinessProbe
  ## @param worker.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
  ## @param worker.readinessProbe.failureThreshold Failure threshold for readinessProbe
  ## @param worker.readinessProbe.successThreshold Success threshold for readinessProbe
  ##
  readinessProbe:
    enabled: true
    initialDelaySeconds: 30
    periodSeconds: 10
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## Configure extra options for startup probe
  ## @param worker.startupProbe.enabled Enable startupProbe
  ## @param worker.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
  ## @param worker.startupProbe.periodSeconds Period seconds for startupProbe
  ## @param worker.startupProbe.timeoutSeconds Timeout seconds for startupProbe
  ## @param worker.startupProbe.failureThreshold Failure threshold for startupProbe
  ## @param worker.startupProbe.successThreshold Success threshold for startupProbe
  ##
  startupProbe:
    enabled: true
    initialDelaySeconds: 30
    periodSeconds: 10
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## @param worker.customLivenessProbe Custom livenessProbe that overrides the default one
  ##
  customLivenessProbe: {}
  ## @param worker.customReadinessProbe Custom readinessProbe that overrides the default one
  ##
  customReadinessProbe: {}
  ## @param worker.customStartupProbe Custom startupProbe that overrides the default one
  ##
  customStartupProbe: {}
  ## @param worker.sidecars Add additional sidecar containers to the worker pod(s)
  ## e.g:
  ## sidecars:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  sidecars: []
  ## @param worker.initContainers Add initContainers to the worker pods.
  ## Example:
  ## initContainers:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  initContainers: []
  ## Autoscaling parameters
  ## @param worker.autoscaling.enabled Enable replica autoscaling depending on CPU
  ## @param worker.autoscaling.minReplicas Minimum number of worker replicas
  ## @param worker.autoscaling.maxReplicas Maximum number of worker replicas
  ## @param worker.autoscaling.targetCPU Target CPU utilization percentage
  ## @param worker.autoscaling.targetMemory Target Memory utilization percentage
  ##
  autoscaling:
    enabled: false
    minReplicas: ""
    maxReplicas: 5
    targetCPU: 50
    targetMemory: ""

## @section Security parameters
##

## Security configuration
##
security:
  ## @param security.passwordsSecretName Name of the secret that contains all the passwords
  ## This is optional, by default random passwords are generated
  ##
  passwordsSecretName: ""
  ## RPC configuration
  ## @param security.rpc.authenticationEnabled Enable the RPC authentication
  ## @param security.rpc.encryptionEnabled Enable the encryption for RPC
  ##
  rpc:
    authenticationEnabled: false
    encryptionEnabled: false
  ## @param security.storageEncryptionEnabled Enables local storage encryption
  ##
  storageEncryptionEnabled: false
  ## @param security.certificatesSecretName Name of the secret that contains the certificates.
  ## It should contains two keys called "spark-keystore.jks" and "spark-truststore.jks" with the files in JKS format.
  ## DEPRECATED. Use `security.ssl.existingSecret` instead
  ##
  certificatesSecretName: ""
  ## SSL configuration
  ##
  ssl:
    ## @param security.ssl.enabled Enable the SSL configuration
    ##
    enabled: false
    ## @param security.ssl.needClientAuth Enable the client authentication
    ##
    needClientAuth: false
    ## @param security.ssl.protocol Set the SSL protocol
    ##
    protocol: TLSv1.2
    ## @param security.ssl.existingSecret Name of the existing secret containing the TLS certificates
    ## It should contains two keys called "spark-keystore.jks" and "spark-truststore.jks" with the files in JKS format.
    ##
    existingSecret: ""
    ## @param security.ssl.autoGenerated Create self-signed TLS certificates. Currently only supports PEM certificates
    ## The Spark container will generate a JKS keystore and trustore using the PEM certificates.
    ##
    autoGenerated: false
    ## @param security.ssl.keystorePassword Set the password of the JKS Keystore
    ##
    keystorePassword: ""
    ## @param security.ssl.truststorePassword Truststore password.
    ##
    truststorePassword: ""
    ## Container resource requests and limits
    ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
    ## We usually recommend not to specify default resources and to leave this as a conscious
    ## choice for the user. This also increases chances charts run on environments with little
    ## resources, such as Minikube. If you do want to specify resources, uncomment the following
    ## lines, adjust them as necessary, and remove the curly braces after 'resources:'.
    ## @param security.ssl.resources.limits The resources limits for the container
    ## @param security.ssl.resources.requests The requested resources for the container
    ##
    resources:
      ## Example:
      ## limits:
      ##    cpu: 100m
      ##    memory: 128Mi
      ##
      limits: {}
      ## Examples:
      ## requests:
      ##    cpu: 100m
      ##    memory: 128Mi
      ##
      requests: {}

## @section Traffic Exposure parameters
##

## Service parameters
##
service:
  ## @param service.type Kubernetes Service type
  ##
  type: ClusterIP
  ## @param service.ports.http Spark client port for HTTP
  ## @param service.ports.https Spark client port for HTTPS
  ## @param service.ports.cluster Spark cluster port
  ##
  ports:
    http: 80
    https: 443
    cluster: 7077
  ## Specify the nodePort(s) value(s) for the LoadBalancer and NodePort service types.
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
  ## @param service.nodePorts.http Kubernetes web node port for HTTP
  ## @param service.nodePorts.https Kubernetes web node port for HTTPS
  ## @param service.nodePorts.cluster Kubernetes cluster node port
  ##
  nodePorts:
    http: ""
    https: ""
    cluster: ""
  ## @param service.clusterIP Spark service Cluster IP
  ## e.g.:
  ## clusterIP: None
  ##
  clusterIP: ""
  ## @param service.loadBalancerIP Load balancer IP if spark service type is `LoadBalancer`
  ## Set the LoadBalancer service type to internal only
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
  ##
  loadBalancerIP: ""
  ## @param service.loadBalancerSourceRanges Spark service Load Balancer sources
  ## ref: https://kubernetes.io/docs/tasks/access-application-cluster/configure-cloud-provider-firewall/#restrict-access-for-loadbalancer-service
  ## e.g:
  ## loadBalancerSourceRanges:
  ##   - 10.10.10.0/24
  ##
  loadBalancerSourceRanges: []
  ## @param service.externalTrafficPolicy Spark service external traffic policy
  ## ref http://kubernetes.io/docs/tasks/access-application-cluster/create-external-load-balancer/#preserving-the-client-source-ip
  ##
  externalTrafficPolicy: Cluster
  ## @param service.annotations Additional custom annotations for Spark service
  ##
  annotations: {}
  ## @param service.extraPorts Extra ports to expose in Spark service (normally used with the `sidecars` value)
  ##
  extraPorts: []
  ## @param service.sessionAffinity Control where client requests go, to the same pod or round-robin
  ## Values: ClientIP or None
  ## ref: https://kubernetes.io/docs/user-guide/services/
  ##
  sessionAffinity: None
  ## @param service.sessionAffinityConfig Additional settings for the sessionAffinity
  ## sessionAffinityConfig:
  ##   clientIP:
  ##     timeoutSeconds: 300
  ##
  sessionAffinityConfig: {}
  ## Headless service properties
  ##
  headless:
    ## @param service.headless.annotations Annotations for the headless service.
    ##
    annotations: {}
## Configure the ingress resource that allows you to access the
## Spark installation. Set up the URL
## ref: https://kubernetes.io/docs/user-guide/ingress/
##
ingress:
  ## @param ingress.enabled Enable ingress controller resource
  ##
  enabled: false
  ## @param ingress.pathType Ingress path type
  ##
  pathType: ImplementationSpecific
  ## @param ingress.apiVersion Force Ingress API version (automatically detected if not set)
  ##
  apiVersion: ""
  ## @param ingress.hostname Default host for the ingress resource
  ##
  hostname: spark.local
  ## @param ingress.ingressClassName IngressClass that will be be used to implement the Ingress (Kubernetes 1.18+)
  ## This is supported in Kubernetes 1.18+ and required if you have more than one IngressClass marked as the default for your cluster .
  ## ref: https://kubernetes.io/blog/2020/04/02/improvements-to-the-ingress-api-in-kubernetes-1.18/
  ##
  ingressClassName: ""
  ## @param ingress.path The Path to Spark. You may need to set this to '/*' in order to use this with ALB ingress controllers.
  ##
  path: /
  ## @param ingress.annotations Additional annotations for the Ingress resource. To enable certificate autogeneration, place here your cert-manager annotations.
  ## For a full list of possible ingress annotations, please see
  ## ref: https://github.com/kubernetes/ingress-nginx/blob/master/docs/user-guide/nginx-configuration/annotations.md
  ## Use this parameter to set the required annotations for cert-manager, see
  ## ref: https://cert-manager.io/docs/usage/ingress/#supported-annotations
  ##
  ## e.g:
  ## annotations:
  ##   kubernetes.io/ingress.class: nginx
  ##   cert-manager.io/cluster-issuer: cluster-issuer-name
  ##
  annotations: {}
  ## @param ingress.tls Enable TLS configuration for the hostname defined at ingress.hostname parameter
  ## TLS certificates will be retrieved from a TLS secret with name: {{- printf "%s-tls" .Values.ingress.hostname }}
  ## You can use the ingress.secrets parameter to create this TLS secret or rely on cert-manager to create it
  ##
  tls: false
  ## @param ingress.selfSigned Create a TLS secret for this ingress record using self-signed certificates generated by Helm
  ##
  selfSigned: false
  ## @param ingress.extraHosts The list of additional hostnames to be covered with this ingress record.
  ## Most likely the hostname above will be enough, but in the event more hosts are needed, this is an array
  ## extraHosts:
  ## - name: spark.local
  ##   path: /
  ##
  extraHosts: []
  ## @param ingress.extraPaths Any additional arbitrary paths that may need to be added to the ingress under the main host.
  ## For example: The ALB ingress controller requires a special rule for handling SSL redirection.
  ## extraPaths:
  ## - path: /*
  ##   backend:
  ##     serviceName: ssl-redirect
  ##     servicePort: use-annotation
  ##
  extraPaths: []
  ## @param ingress.extraTls The tls configuration for additional hostnames to be covered with this ingress record.
  ## see: https://kubernetes.io/docs/concepts/services-networking/ingress/#tls
  ## extraTls:
  ## - hosts:
  ##     - spark.local
  ##   secretName: spark.local-tls
  ##
  extraTls: []
  ## @param ingress.secrets If you're providing your own certificates, please use this to add the certificates as secrets
  ## key and certificate should start with -----BEGIN CERTIFICATE----- or
  ## -----BEGIN RSA PRIVATE KEY-----
  ##
  ## name should line up with a tlsSecret set further up
  ## If you're using cert-manager, this is unneeded, as it will create the secret for you if it is not set
  ##
  ## It is also possible to create and manage the certificates outside of this helm chart
  ## Please see README.md for more information
  ## e.g:
  ## - name: spark.local-tls
  ##   key:
  ##   certificate:
  ##
  secrets: []
  ## @param ingress.extraRules Additional rules to be covered with this ingress record
  ## ref: https://kubernetes.io/docs/concepts/services-networking/ingress/#ingress-rules
  ## e.g:
  ## extraRules:
  ## - host: spark.local
  ##     http:
  ##       path: /
  ##       backend:
  ##         service:
  ##           name: spark-svc
  ##           port:
  ##             name: http
  ##
  extraRules: []

## @section Other parameters
##

## ServiceAccount configuration
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/
##
serviceAccount:
  ## @param serviceAccount.create Enable the creation of a ServiceAccount for Spark pods
  ##
  create: true
  ## @param serviceAccount.name The name of the ServiceAccount to use.
  ## If not set and create is true, a name is generated using the spark.fullname template
  ##
  name: ""
  ## @param serviceAccount.annotations Annotations for Spark Service Account
  ##
  annotations: {}
  ## @param serviceAccount.automountServiceAccountToken Automount API credentials for a service account.
  ##
  automountServiceAccountToken: true

## @section Metrics parameters
##

## Metrics configuration
##
metrics:
  ## @param metrics.enabled Start a side-car prometheus exporter
  ##
  enabled: false
  ## @param metrics.masterAnnotations [object] Annotations for the Prometheus metrics on master nodes
  ##
  masterAnnotations:
    prometheus.io/scrape: 'true'
    prometheus.io/path: '/metrics/'
    prometheus.io/port: '{{ .Values.master.containerPorts.http }}'
  ## @param metrics.workerAnnotations [object] Annotations for the Prometheus metrics on worker nodes
  ##
  workerAnnotations:
    prometheus.io/scrape: 'true'
    prometheus.io/path: '/metrics/'
    prometheus.io/port: '{{ .Values.worker.containerPorts.http }}'
  ## Prometheus Service Monitor
  ## ref: https://github.com/coreos/prometheus-operator
  ##      https://github.com/coreos/prometheus-operator/blob/master/Documentation/api.md#endpoint
  ##
  podMonitor:
    ## @param metrics.podMonitor.enabled If the operator is installed in your cluster, set to true to create a PodMonitor Resource for scraping metrics using PrometheusOperator
    ##
    enabled: false
    ## @param metrics.podMonitor.extraMetricsEndpoints Add metrics endpoints for monitoring the jobs running in the worker nodes
    ## ref: https://github.com/prometheus-operator/prometheus-operator/blob/master/Documentation/api.md#podmetricsendpoint
    ## e.g:
    ## - port: myapp
    ##   path: /metrics/
    ##
    extraMetricsEndpoints: []
    ## @param metrics.podMonitor.namespace Specify the namespace in which the podMonitor resource will be created
    ##
    namespace: ""
    ## @param metrics.podMonitor.interval Specify the interval at which metrics should be scraped
    ##
    interval: 30s
    ## @param metrics.podMonitor.scrapeTimeout Specify the timeout after which the scrape is ended
    ## e.g:
    ## scrapeTimeout: 30s
    ##
    scrapeTimeout: ""
    ## @param metrics.podMonitor.additionalLabels Additional labels that can be used so PodMonitors will be discovered by Prometheus
    ## ref: https://github.com/coreos/prometheus-operator/blob/master/Documentation/api.md#prometheusspec
    ##
    additionalLabels: {}
  ## Custom PrometheusRule to be defined
  ## The value is evaluated as a template, so, for example, the value can depend on .Release or .Chart
  ## ref: https://github.com/coreos/prometheus-operator#customresourcedefinitions
  ##
  prometheusRule:
    ## @param metrics.prometheusRule.enabled Set this to true to create prometheusRules for Prometheus
    ##
    enabled: false
    ## @param metrics.prometheusRule.namespace Namespace where the prometheusRules resource should be created
    ##
    namespace: ""
    ## @param metrics.prometheusRule.additionalLabels Additional labels that can be used so prometheusRules will be discovered by Prometheus
    ##
    additionalLabels: {}
    ## @param metrics.prometheusRule.rules Custom Prometheus [rules](https://prometheus.io/docs/prometheus/latest/configuration/alerting_rules/)
    ## These are just examples rules, please adapt them to your needs.
    ## Make sure to constraint the rules to the current postgresql service.
    ## rules:
    ##   - alert: HugeReplicationLag
    ##     expr: pg_replication_lag{service="{{ template "postgresql.fullname" . }}-metrics"} / 3600 > 1
    ##     for: 1m
    ##     labels:
    ##       severity: critical
    ##     annotations:
    ##       description: replication for {{ template "postgresql.fullname" . }} PostgreSQL is lagging by {{ "{{ $value }}" }} hour(s).
    ##       summary: PostgreSQL replication is lagging by {{ "{{ $value }}" }} hour(s).
    ##
    rules: []