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# Default values for elasticsearch.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
global: # global defaults
nodePortPrefix: 302
repositorySecret: eyJuZXh1czMub25hcC5vcmc6MTAwMDEiOnsidXNlcm5hbWUiOiJkb2NrZXIiLCJwYXNzd29yZCI6ImRvY2tlciIsImVtYWlsIjoiQCIsImF1dGgiOiJaRzlqYTJWeU9tUnZZMnRsY2c9PSJ9fQ==
# 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
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
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