nodePortPrefix: 302
# application image
-dockerhubRepository: docker.io
-image: elasticsearch:2.4.1
+image: onap/elasticsearch-sg:1.4-STAGING-latest
pullPolicy: Always
+restartPolicy: Always
flavor: small
# application configuration
config:
tcpPort: 8443
-
+ nodeKeyStore: esaai-keystore.jks
+ nodeKeyStorePassword: b87b46d3da7d3d4aadfe
+ adminKeyStore: sgadmin-keystore.p12
+ adminKeyStorePassword: 341274302a70ad691e12
+ trustStore: truststore.jks
+ trustStorePassword: b200926e9da205487f63
# default number of instances
replicaCount: 1
name: aai-elasticsearch
portName: aai-elasticsearch
internalPort: 9200
+ portName2: aai-elasticsearch-tcp
+ internalPort2: 8443
ingress:
enabled: false
mountPath: /dockerdata-nfs
mountSubPath: aai/elasticsearch/data
- # 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
resources:
small:
limits:
cpu: 2
memory: 4Gi
requests:
- cpu: 1
+ cpu: 0.5
memory: 2Gi
large:
limits:
cpu: 4
memory: 8Gi
requests:
- cpu: 4
- memory: 8Gi
+ cpu: 1
+ memory: 4Gi
+ unlimited: {}