charts/bitnami/flink/values.yaml

## @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 nameOverride String to partially override common.names.fullname
##
nameOverride: ""
## @param fullnameOverride String to fully override common.names.fullname
##
fullnameOverride: ""
## @param kubeVersion Force target Kubernetes version (using Helm capabilities if not set)
##
kubeVersion: ""
## @param commonLabels Labels to add to all deployed objects (sub-charts are not considered)
##
commonLabels: {}
## @param commonAnnotations Annotations to add to all deployed objects
##
commonAnnotations: {}
## @param extraDeploy Array of extra objects to deploy with the release
##
extraDeploy: []
## 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 Apache Flink parameters
##

## Bitnami Apache Flink image
## ref: https://hub.docker.com/r/bitnami/flink/tags/
## @param image.registry Apache Flink image registry
## @param image.repository Apache Flink image repository
## @param image.tag Apache Flink image tag (immutable tags are recommended)
## @param image.digest Apache Flink image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag
## @param image.pullPolicy image pull policy
## @param image.pullSecrets Apache Flink image pull secrets
## @param image.debug Enable image debug mode
##
image:
  registry: docker.io
  repository: bitnami/flink
  tag: 1.17.1-debian-11-r1
  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: []
  ## Enable debug mode
  ##
  debug: false

## @section Jobmanager deployment parameters
##

jobmanager:
  ## @param jobmanager.command Command for running the container (set to default if not set). Use array form
  ##
  command: []
  ## @param jobmanager.args Args for running the container (set to default if not set). Use array form
  ##
  args: []
  ## @param jobmanager.lifecycleHooks [object] Override default etcd container hooks
  ##
  lifecycleHooks: {}
  ## @param jobmanager.extraEnvVars Extra environment variables to be set on flink container
  ## For example:
  ##  - name: FOO
  ##    value: BAR
  ##
  extraEnvVars: []
  ## @param jobmanager.extraEnvVarsCM Name of existing ConfigMap containing extra env vars
  ##
  extraEnvVarsCM: ""
  ## @param jobmanager.extraEnvVarsSecret Name of existing Secret containing extra env vars
  ##
  extraEnvVarsSecret: ""
  ## @param jobmanager.replicaCount Number of Apache Flink Jobmanager replicas
  ##
  replicaCount: 1
  ## Configure extra options for container's liveness, readiness and startup probes
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#configure-probes
  ## @param jobmanager.livenessProbe.enabled Enable livenessProbe on Jobmanager nodes
  ## @param jobmanager.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
  ## @param jobmanager.livenessProbe.periodSeconds Period seconds for livenessProbe
  ## @param jobmanager.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
  ## @param jobmanager.livenessProbe.failureThreshold Failure threshold for livenessProbe
  ## @param jobmanager.livenessProbe.successThreshold Success threshold for livenessProbe
  ##
  livenessProbe:
    enabled: true
    failureThreshold: 3
    initialDelaySeconds: 20
    periodSeconds: 10
    successThreshold: 1
    timeoutSeconds: 1
  ## @param jobmanager.startupProbe.enabled Enable startupProbe on Jobmanager containers
  ## @param jobmanager.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
  ## @param jobmanager.startupProbe.periodSeconds Period seconds for startupProbe
  ## @param jobmanager.startupProbe.timeoutSeconds Timeout seconds for startupProbe
  ## @param jobmanager.startupProbe.failureThreshold Failure threshold for startupProbe
  ## @param jobmanager.startupProbe.successThreshold Success threshold for startupProbe
  ##
  startupProbe:
    enabled: true
    initialDelaySeconds: 20
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 15
    successThreshold: 1
  ## @param jobmanager.readinessProbe.enabled Enable readinessProbe
  ## @param jobmanager.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
  ## @param jobmanager.readinessProbe.periodSeconds Period seconds for readinessProbe
  ## @param jobmanager.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
  ## @param jobmanager.readinessProbe.failureThreshold Failure threshold for readinessProbe
  ## @param jobmanager.readinessProbe.successThreshold Success threshold for readinessProbe
  ##
  readinessProbe:
    enabled: true
    initialDelaySeconds: 20
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 15
    successThreshold: 1
  ## @param jobmanager.customLivenessProbe Custom livenessProbe that overrides the default one
  ##
  customLivenessProbe: {}
  ## @param jobmanager.customStartupProbe [object] Override default startup probe
  ##
  customStartupProbe: {}
  ## @param jobmanager.customReadinessProbe [object] Override default readiness probe
  ##
  customReadinessProbe: {}
  ## Apache Flink pods' resource requests and limits
  ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
  ## Minimum memory for development is 4GB and 2 CPU cores
  ## Minimum memory for production is 8GB and 4 CPU cores
  ## ref: http://docs.datastax.com/en/archived/flink/2.0/flink/architecture/architecturePlanningHardware_c.html
  ##
  ## 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 jobmanager.resources.limits The resources limits for Apache Flink containers
  ## @param jobmanager.resources.requests The requested resources for Apache Flink containers
  ##
  resources:
    ## Example:
    ## limits:
    ##    cpu: 2
    ##    memory: 4Gi
    ##
    limits: {}
    ## Examples:
    ## requests:
    ##    cpu: 2
    ##    memory: 4Gi
    ##
    requests: {}
  ## @param jobmanager.extraVolumeMounts Optionally specify extra list of additional volumeMounts for flink container
  ##
  extraVolumeMounts: []
  ## Container ports to expose
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
  containerPorts:
    ## @param jobmanager.containerPorts.rpc Port for RPC
    ##
    rpc: 6123
    ## @param jobmanager.containerPorts.http Port for http UI
    ##
    http: 8081
    ## @param jobmanager.containerPorts.blob Port for blob server
    ##
    blob: 6124
  ## Apache Flink jobmanager.service parameters
  ##
  service:
    ## @param jobmanager.service.type Apache Flink service type
    ##
    type: ClusterIP
    ## Ports to expose
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
    ports:
      ## @param jobmanager.service.ports.rpc Port for RPC
      ##
      rpc: 6123
      ## @param jobmanager.service.ports.http Port for http UI
      ##
      http: 8081
      ## @param jobmanager.service.ports.blob Port for blob server
      ## Due the Apache Flink specificities this port should match the jobmanager.containerPorts.blob port. The taskmanager should be
      ## able to communicate with the jobmanager through the port jobmanager indicates to the taskmanager, being the jobmanager not aware of the service port.
      blob: 6124
    ## Node ports to expose
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
    nodePorts:
      ## @param jobmanager.service.nodePorts.rpc Node port for RPC
      ##
      rpc: ""
      ## @param jobmanager.service.nodePorts.http Node port for http UI
      ##
      http: ""
      ## @param jobmanager.service.nodePorts.blob Port for blob server
      ##
      blob: ""
    ## @param jobmanager.service.extraPorts Extra ports to expose in the service (normally used with the `sidecar` value)
    ##
    extraPorts: []
    ## @param jobmanager.service.loadBalancerIP LoadBalancerIP if service type is `LoadBalancer`
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
    ##
    loadBalancerIP: ""
    ## @param jobmanager.service.loadBalancerSourceRanges 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 jobmanager.service.clusterIP Service Cluster IP
    ## e.g.:
    ## clusterIP: None
    ##
    clusterIP: ""
    ## @param jobmanager.service.externalTrafficPolicy Service external traffic policy
    ## ref https://kubernetes.io/docs/tasks/access-application-cluster/create-external-load-balancer/#preserving-the-client-source-ip
    ##
    externalTrafficPolicy: Cluster
    ## @param jobmanager.service.annotations Provide any additional annotations which may be required.
    ## This can be used to set the LoadBalancer service type to internal only.
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
    ##
    annotations: {}
    ## @param jobmanager.service.sessionAffinity Session Affinity for Kubernetes service, can be "None" or "ClientIP"
    ## If "ClientIP", consecutive client requests will be directed to the same Pod
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#virtual-ips-and-service-proxies
    ##
    sessionAffinity: None
    ## @param jobmanager.service.sessionAffinityConfig Additional settings for the sessionAffinity
    ## sessionAffinityConfig:
    ##   clientIP:
    ##     timeoutSeconds: 300
    ##
    sessionAffinityConfig: {}
  ## Apache Flink Jobmanager serviceAccount parameters
  ##
  serviceAccount:
    ## @param jobmanager.serviceAccount.create Enables ServiceAccount
    ##
    create: true
    ## @param jobmanager.serviceAccount.name ServiceAccount name
    ##
    name: ""
    ## @param jobmanager.serviceAccount.annotations Annotations to add to all deployed objects
    ##
    annotations: {}
    ## @param jobmanager.serviceAccount.automountServiceAccountToken Automount API credentials for a service account.
    ##
    automountServiceAccountToken: true
  ## Pod security context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
  ## @param jobmanager.podSecurityContext.enabled Enabled Apache Flink pods' Security Context
  ## @param jobmanager.podSecurityContext.fsGroup Set Apache Flink pod's Security Context fsGroup
  ## @param jobmanager.podSecurityContext.seccompProfile.type Rules specifying actions to take based on the requested syscall
  ##
  podSecurityContext:
    enabled: true
    fsGroup: 1001
    seccompProfile:
      type: "RuntimeDefault"
  ## Configure Container Security Context (only main container)
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
  ## @param jobmanager.containerSecurityContext.enabled Enabled Apache Flink containers' Security Context
  ## @param jobmanager.containerSecurityContext.runAsUser Set Apache Flink container's Security Context runAsUser
  ## @param jobmanager.containerSecurityContext.runAsNonRoot Force the container to be run as non root
  ## @param jobmanager.containerSecurityContext.allowPrivilegeEscalation Allows privilege escalation
  ## @param jobmanager.containerSecurityContext.capabilities.drop List of capabilities to be dropped
  ##
  containerSecurityContext:
    enabled: true
    runAsUser: 1001
    runAsNonRoot: true
    allowPrivilegeEscalation: false
    capabilities:
      drop: [ "ALL" ]
  ## @param jobmanager.podAnnotations Additional pod annotations
  ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
  ##
  podAnnotations: {}
  ## @param jobmanager.podLabels Additional pod labels
  ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  ##
  podLabels: {}
  ## @param jobmanager.podAffinityPreset Pod affinity preset. Ignored if `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 jobmanager.podAntiAffinityPreset Pod anti-affinity preset. Ignored if `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
  ## Node affinity preset
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
  ##
  nodeAffinityPreset:
    ## @param jobmanager.nodeAffinityPreset.type Node affinity preset type. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
    ##
    type: ""
    ## @param jobmanager.nodeAffinityPreset.key Node label key to match. Ignored if `affinity` is set
    ##
    key: ""
    ## @param jobmanager.nodeAffinityPreset.values Node label values to match. Ignored if `affinity` is set
    ## E.g.
    ## values:
    ##   - e2e-az1
    ##   - e2e-az2
    ##
    values: []
  ## @param jobmanager.priorityClassName Server priorityClassName
  ## Ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/
  ##
  priorityClassName: ""
  ## @param jobmanager.affinity Affinity for pod assignment
  ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
  ## NOTE: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
  ##
  affinity: {}
  ## @param jobmanager.nodeSelector Node labels for pod assignment
  ## ref: https://kubernetes.io/docs/user-guide/node-selection/
  ##
  nodeSelector: {}
  ## @param jobmanager.tolerations Tolerations for pod assignment
  ## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  ##
  tolerations: []
  ## @param jobmanager.topologySpreadConstraints Topology Spread Constraints for pod assignment
  ## https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/
  ## The value is evaluated as a template
  ##
  topologySpreadConstraints: []
  ## @param jobmanager.schedulerName Alternative scheduler
  ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
  ##
  schedulerName: ""
  ## @param jobmanager.updateStrategy.type Apache Flink jobmanager deployment strategy type
  ## @param jobmanager.updateStrategy.rollingUpdate Apache Flink jobmanager deployment rolling update configuration parameters
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#strategy
  ##
  updateStrategy:
    type: RollingUpdate
    rollingUpdate: {}
  ## @param jobmanager.extraVolumes Optionally specify extra list of additional volumes for flink container
  ##
  extraVolumes: []
  ## @param jobmanager.initContainers Add additional init containers to the flink pods
  ##
  initContainers: []
  ## @param jobmanager.sidecars Add additional sidecar containers to the flink pods
  ##
  sidecars: []

## @section TaskManager deployment parameters
##

taskmanager:
  ## @param taskmanager.command Command for running the container (set to default if not set). Use array form
  ##
  command: []
  ## @param taskmanager.args Args for running the container (set to default if not set). Use array form
  ##
  args: []
  ## @param taskmanager.lifecycleHooks [object] Override default etcd container hooks
  ##
  lifecycleHooks: {}
  ## @param taskmanager.extraEnvVars Extra environment variables to be set on flink container
  ## For example:
  ##  - name: FOO
  ##    value: BAR
  ##
  extraEnvVars: []
  ## @param taskmanager.extraEnvVarsCM Name of existing ConfigMap containing extra env vars
  ##
  extraEnvVarsCM: ""
  ## @param taskmanager.extraEnvVarsSecret Name of existing Secret containing extra env vars
  ##
  extraEnvVarsSecret: ""
  ## @param taskmanager.replicaCount Number of Apache Flink replicas
  ##
  replicaCount: 1
  ## Configure extra options for container's liveness, readiness and startup probes
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#configure-probes
  ## @param taskmanager.livenessProbe.enabled Enable livenessProbe on taskmanager nodes
  ## @param taskmanager.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
  ## @param taskmanager.livenessProbe.periodSeconds Period seconds for livenessProbe
  ## @param taskmanager.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
  ## @param taskmanager.livenessProbe.failureThreshold Failure threshold for livenessProbe
  ## @param taskmanager.livenessProbe.successThreshold Success threshold for livenessProbe
  ##
  livenessProbe:
    enabled: true
    failureThreshold: 3
    initialDelaySeconds: 20
    periodSeconds: 10
    successThreshold: 1
    timeoutSeconds: 1
  ## @param taskmanager.startupProbe.enabled Enable startupProbe on taskmanager containers
  ## @param taskmanager.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
  ## @param taskmanager.startupProbe.periodSeconds Period seconds for startupProbe
  ## @param taskmanager.startupProbe.timeoutSeconds Timeout seconds for startupProbe
  ## @param taskmanager.startupProbe.failureThreshold Failure threshold for startupProbe
  ## @param taskmanager.startupProbe.successThreshold Success threshold for startupProbe
  ##
  startupProbe:
    enabled: true
    initialDelaySeconds: 20
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 15
    successThreshold: 1
  ## @param taskmanager.readinessProbe.enabled Enable readinessProbe
  ## @param taskmanager.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
  ## @param taskmanager.readinessProbe.periodSeconds Period seconds for readinessProbe
  ## @param taskmanager.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
  ## @param taskmanager.readinessProbe.failureThreshold Failure threshold for readinessProbe
  ## @param taskmanager.readinessProbe.successThreshold Success threshold for readinessProbe
  ##
  readinessProbe:
    enabled: true
    initialDelaySeconds: 20
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 15
    successThreshold: 1
  ## @param taskmanager.customLivenessProbe Custom livenessProbe that overrides the default one
  ##
  customLivenessProbe: {}
  ## @param taskmanager.customStartupProbe [object] Override default startup probe
  ##
  customStartupProbe: {}
  ## @param taskmanager.customReadinessProbe [object] Override default readiness probe
  ##
  customReadinessProbe: {}
  ## Apache Flink pods' resource requests and limits
  ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
  ## Minimum memory for development is 4GB and 2 CPU cores
  ## Minimum memory for production is 8GB and 4 CPU cores
  ## ref: http://docs.datastax.com/en/archived/flink/2.0/flink/architecture/architecturePlanningHardware_c.html
  ##
  ## 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 taskmanager.resources.limits The resources limits for Apache Flink containers
  ## @param taskmanager.resources.requests The requested resources for Apache Flink containers
  ##
  resources:
    ## Example:
    ## limits:
    ##    cpu: 2
    ##    memory: 4Gi
    ##
    limits: {}
    ## Examples:
    ## requests:
    ##    cpu: 2
    ##    memory: 4Gi
    ##
    requests: {}
  ## @param taskmanager.extraVolumeMounts Optionally specify extra list of additional volumeMounts for flink container
  ##
  extraVolumeMounts: []
  ## Container ports to expose
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
  containerPorts:
    ## @param taskmanager.containerPorts.data data exchange port
    ##
    data: 6121
    ## @param taskmanager.containerPorts.rpc Port for RPC
    ##
    rpc: 6122
  ## Apache Flink taskmanager.service parameters
  ##
  service:
    ## @param taskmanager.service.type Apache Flink service type
    ##
    type: ClusterIP
    ## Ports to expose
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
    ports:
      ## @param taskmanager.service.ports.data data exchange port
      ##
      data: 6121
      ## @param taskmanager.service.ports.rpc Port for RPC
      ##
      rpc: 6122
    ## Node ports to expose
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
    nodePorts:
      ## @param taskmanager.service.nodePorts.data data exchange port
      ##
      data: ""
      ## @param taskmanager.service.nodePorts.rpc Port for RPC
      ##
      rpc: ""
    ## @param taskmanager.service.extraPorts Extra ports to expose in the service (normally used with the `sidecar` value)
    ##
    extraPorts: []
    ## @param taskmanager.service.loadBalancerIP LoadBalancerIP if service type is `LoadBalancer`
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
    ##
    loadBalancerIP: ""
    ## @param taskmanager.service.loadBalancerSourceRanges 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 taskmanager.service.clusterIP Service Cluster IP
    ## e.g.:
    ## clusterIP: None
    ##
    clusterIP: ""
    ## @param taskmanager.service.externalTrafficPolicy Service external traffic policy
    ## ref https://kubernetes.io/docs/tasks/access-application-cluster/create-external-load-balancer/#preserving-the-client-source-ip
    ##
    externalTrafficPolicy: Cluster
    ## @param taskmanager.service.annotations Provide any additional annotations which may be required.
    ## This can be used to set the LoadBalancer service type to internal only.
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
    ##
    annotations: {}
    ## @param taskmanager.service.sessionAffinity Session Affinity for Kubernetes service, can be "None" or "ClientIP"
    ## If "ClientIP", consecutive client requests will be directed to the same Pod
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#virtual-ips-and-service-proxies
    ##
    sessionAffinity: None
    ## @param taskmanager.service.sessionAffinityConfig Additional settings for the sessionAffinity
    ## sessionAffinityConfig:
    ##   clientIP:
    ##     timeoutSeconds: 300
    ##
    sessionAffinityConfig: {}
  ## Apache Flink taskmanager serviceAccount parameters
  ##
  serviceAccount:
    ## @param taskmanager.serviceAccount.create Enables ServiceAccount
    ##
    create: true
    ## @param taskmanager.serviceAccount.name ServiceAccount name
    ##
    name: ""
    ## @param taskmanager.serviceAccount.annotations Annotations to add to all deployed objects
    ##
    annotations: {}
    ## @param taskmanager.serviceAccount.automountServiceAccountToken Automount API credentials for a service account.
    ##
    automountServiceAccountToken: true
  ## Pod security context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
  ## @param taskmanager.podSecurityContext.enabled Enabled Apache Flink pods' Security Context
  ## @param taskmanager.podSecurityContext.fsGroup Set Apache Flink pod's Security Context fsGroup
  ## @param taskmanager.podSecurityContext.seccompProfile.type Rules specifying actions to take based on the requested syscall
  ##
  podSecurityContext:
    enabled: true
    fsGroup: 1001
    seccompProfile:
      type: "RuntimeDefault"
  ## Configure Container Security Context (only main container)
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
  ## @param taskmanager.containerSecurityContext.enabled Enabled Apache Flink containers' Security Context
  ## @param taskmanager.containerSecurityContext.runAsUser Set Apache Flink container's Security Context runAsUser
  ## @param taskmanager.containerSecurityContext.runAsNonRoot Force the container to be run as non root
  ## @param taskmanager.containerSecurityContext.allowPrivilegeEscalation Allows privilege escalation
  ## @param taskmanager.containerSecurityContext.capabilities.drop List of capabilities to be dropped
  ##
  containerSecurityContext:
    enabled: true
    runAsUser: 1001
    runAsNonRoot: true
    allowPrivilegeEscalation: false
    capabilities:
      drop: [ "ALL" ]
  ## @param taskmanager.podAnnotations Additional pod annotations
  ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
  ##
  podAnnotations: {}
  ## @param taskmanager.podLabels Additional pod labels
  ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  ##
  podLabels: {}
  ## @param taskmanager.podAffinityPreset Pod affinity preset. Ignored if `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 taskmanager.podAntiAffinityPreset Pod anti-affinity preset. Ignored if `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
  ## Node affinity preset
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
  ##
  nodeAffinityPreset:
    ## @param taskmanager.nodeAffinityPreset.type Node affinity preset type. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
    ##
    type: ""
    ## @param taskmanager.nodeAffinityPreset.key Node label key to match. Ignored if `affinity` is set
    ##
    key: ""
    ## @param taskmanager.nodeAffinityPreset.values Node label values to match. Ignored if `affinity` is set
    ## E.g.
    ## values:
    ##   - e2e-az1
    ##   - e2e-az2
    ##
    values: []
  ## @param taskmanager.priorityClassName Server priorityClassName
  ## Ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/
  ##
  priorityClassName: ""
  ## @param taskmanager.affinity Affinity for pod assignment
  ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
  ## NOTE: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
  ##
  affinity: {}
  ## @param taskmanager.nodeSelector Node labels for pod assignment
  ## ref: https://kubernetes.io/docs/user-guide/node-selection/
  ##
  nodeSelector: {}
  ## @param taskmanager.tolerations Tolerations for pod assignment
  ## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  ##
  tolerations: []
  ## @param taskmanager.topologySpreadConstraints Topology Spread Constraints for pod assignment
  ## https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/
  ## The value is evaluated as a template
  ##
  topologySpreadConstraints: []
  ## @param taskmanager.schedulerName Alternative scheduler
  ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
  ##
  schedulerName: ""
  ## @param taskmanager.updateStrategy.type Apache Flink taskmanager deployment strategy type
  ## @param taskmanager.updateStrategy.rollingUpdate Apache Flink taskmanager deployment rolling update configuration parameters
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#strategy
  ##
  updateStrategy:
    type: RollingUpdate
    rollingUpdate: {}
  ## @param taskmanager.extraVolumes Optionally specify extra list of additional volumes for flink container
  ##
  extraVolumes: []
  ## @param taskmanager.initContainers Add additional init containers to the flink pods
  ##
  initContainers: []
  ## @param taskmanager.sidecars Add additional sidecar containers to the flink pods
  ##
  sidecars: []