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values.yaml
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# Default values for datahub-gms.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
replicaCount: 1
revisionHistoryLimit: 10
image:
repository: linkedin/datahub-gms
pullPolicy: IfNotPresent
tag: head
imagePullSecrets: []
nameOverride: ""
fullnameOverride: ""
serviceAccount:
# Specifies whether a service account should be created
create: true
# Annotations to add to the service account
annotations: {}
# The name of the service account to use.
# If not set and create is true, a name is generated using the fullname template
name:
serviceMonitor:
create: false
podAnnotations: {}
# co.elastic.logs/enabled: "true"
podSecurityContext: {}
# fsGroup: 2000
securityContext: {}
# capabilities:
# drop:
# - ALL
# readOnlyRootFilesystem: true
# runAsNonRoot: true
# runAsUser: 1000
service:
type: LoadBalancer # ClusterIP or NodePort
port: "8080"
targetPort: http
protocol: TCP
name: http
# Annotations to add to the service, this will help in adding
# Internal load balancer or various other annotation support in AWS
annotations: {}
# service.beta.kubernetes.io/aws-load-balancer-internal: "true"
ingress:
# className: ""
enabled: false
extraLabels: {}
annotations: {}
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
hosts:
- host: chart-example.local
paths: []
redirectPaths: []
tls: []
# - secretName: chart-example-tls
# hosts:
# - chart-example.local
# Extra environment variables
# This will be appended to the current 'env:' key. You can use any of the kubernetes env
# syntax here
extraEnvs: []
# - name: MY_ENVIRONMENT_VAR
# value: the_value_goes_here
extraVolumes: []
# - name: extras
# emptyDir: {}
extraVolumeMounts: []
# - name: extras
# mountPath: /usr/share/extras
# readOnly: true
extraInitContainers: []
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:'.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}
livenessProbe:
initialDelaySeconds: 60
periodSeconds: 30
failureThreshold: 8
readinessProbe:
initialDelaySeconds: 60
periodSeconds: 30
failureThreshold: 8
#This section is useful if we are installing this chart separately for testing
# helm install datahub-gms datahub-gms/
global:
datahub_analytics_enabled: true
graph_service_impl: neo4j
elasticsearch:
host: "elasticsearch"
port: "9200"
skipcheck: "false"
kafka:
bootstrap:
server: "broker:9092"
schemaregistry:
url: "http://schema-registry:8081"
neo4j:
host: "neo4j:7474"
uri: "bolt://neo4j"
username: "neo4j"
password:
secretRef: "neo4j-secrets"
secretKey: "neo4j-password"
sql:
datasource:
host: "mysql:3306"
url: "jdbc:mysql://mysql:3306/datahub?verifyServerCertificate=false&useSSL=true"
driver: "com.mysql.cj.jdbc.Driver"
username: "datahub"
password:
secretRef: "mysql-secrets"
secretKey: "mysql-password"
datahub:
monitoring:
enablePrometheus: false
enableJMXPort: false
gms:
port: "8080"
appVersion: "1.0"
managed_ingestion:
enabled: true
# defaultCliVersion: "X.X.X" --> Optional: Controls the acryl-datahub package version downloaded from PyPI.
metadata_service_authentication:
enabled: false
# tokenService:
# signingKey:
# secretRef: <secret-ref>
# secretKey: <secret-key>
# salt:
# secretRef: <secret-ref>
# secretKey: <secret-key>
systemClientId: "__datahub_system"
# systemClientSecret:
# secretRef: <secret-ref>
# secretKey: <secret-key>
encryptionKey:
secretRef: "encryption-key-secret"
secretKey: "encryption-key-secret"
enable_retention: false ## Set to true to enable retention on local DB
enable_search_cache: false
hostAliases:
- ip: "192.168.0.104"
hostnames:
- "broker"
- "mysql"
- "elasticsearch"
- "neo4j"