charts/aai-elasticsearch/values.yaml

# Default values for elasticsearch.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
global: # global defaults
  nodePortPrefix: 302

# application image
dockerhubRepository: docker.io
image: elasticsearch:2.4.1
pullPolicy: Always

# application configuration
config:
  tcpPort: 8443


# default number of instances
replicaCount: 1

nodeSelector: {}

affinity: {}

# probe configuration parameters
liveness:
  initialDelaySeconds: 10
  periodSeconds: 10
  # necessary to disable liveness probe when setting breakpoints
  # in debugger so K8s doesn't restart unresponsive container
  enabled: true

readiness:
  initialDelaySeconds: 10
  periodSeconds: 10

service:
  type: ClusterIP
  name: aai-elasticsearch
  portName: aai-elasticsearch
  internalPort: 9200

ingress:
  enabled: false

persistence:
  enabled: true

  ## A manually managed Persistent Volume and Claim
  ## Requires persistence.enabled: true
  ## If defined, PVC must be created manually before volume will be bound
  # existingClaim:
  volumeReclaimPolicy: Retain

  ## database data Persistent Volume Storage Class
  ## If defined, storageClassName: <storageClass>
  ## If set to "-", storageClassName: "", which disables dynamic provisioning
  ## If undefined (the default) or set to null, no storageClassName spec is
  ##   set, choosing the default provisioner.  (gp2 on AWS, standard on
  ##   GKE, AWS & OpenStack)
  ##
  ## storageClass: "-"
  accessMode: ReadWriteMany
  size: 2Gi
  mountPath: /dockerdata-nfs
  mountSubPath: aai/elasticsearch/data

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:'.
  #
  # Example:
  # Configure resource requests and limits
  # ref: http://kubernetes.io/docs/user-guide/compute-resources/
  # Minimum memory for development is 2 CPU cores and 4GB memory
  # Minimum memory for production is 4 CPU cores and 8GB memory
#resources:
#  limits:
#    cpu: 2
#    memory: 4Gi
#  requests:
#    cpu: 2
#    memory: 4Gi