blob: 05f2d08800c2fd8dbf707ffe3302d5a59e5fa29d [file] [log] [blame]
# Default values for cassandra.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
global: # global defaults
nodePortPrefix: 302
# application image
dockerhubRepository: registry.hub.docker.com
image: cassandra:2.1
pullPolicy: Always
# application configuration
config:
heap:
max: 512M
min: 100M
jvmOpts: -Dcassandra.consistent.rangemovement=false
clusterName: aai-cluster
dataCenter: Pod lab
rackName: Rack1
autoBootstrap: true
ports:
cql: 9042
thrift: 9160
# If a JVM Agent is in place
# agent: 61621
# default number of instances
replicaCount: 3
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-cassandra
internalPort: 9042
portName: cql
internalPort2: 9160
portName2: thrift
internalPort3: 61621
portName3: agent
podManagementPolicy: OrderedReady
updateStrategy:
type: OnDelete
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: ReadWriteOnce
size: 2Gi
mountPath: /dockerdata-nfs
mountSubPath: aai/cassandra
storageType: local
storageClass: ""
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