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DolphinScheduler/docker/kubernetes/dolphinscheduler/values.yaml

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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Default values for dolphinscheduler-chart.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
nameOverride: ""
fullnameOverride: ""
timezone: "Asia/Shanghai"
image:
registry: "apache"
repository: "dolphinscheduler"
tag: "latest"
pullPolicy: "IfNotPresent"
pullSecrets: []
# If not exists external database, by default, Dolphinscheduler's database will use it.
postgresql:
enabled: true
postgresqlUsername: "root"
postgresqlPassword: "root"
postgresqlDatabase: "dolphinscheduler"
persistence:
enabled: false
size: "20Gi"
storageClass: "-"
# If exists external database, and set postgresql.enable value to false.
# external database will be used, otherwise Dolphinscheduler's database will be used.
externalDatabase:
type: "postgresql"
driver: "org.postgresql.Driver"
host: "localhost"
port: "5432"
username: "root"
password: "root"
database: "dolphinscheduler"
# multi params should join with & char
params: "characterEncoding=utf8"
# If not exists external zookeeper, by default, Dolphinscheduler's zookeeper will use it.
zookeeper:
enabled: true
taskQueue: "zookeeper"
config: null
service:
port: "2181"
persistence:
enabled: false
size: "20Gi"
storageClass: "-"
# If exists external zookeeper, and set zookeeper.enable value to false.
# If zookeeper.enable is false, Dolphinscheduler's zookeeper will use it.
externalZookeeper:
taskQueue: "zookeeper"
zookeeperQuorum: "127.0.0.1:2181"
zookeeperRoot: "/dolphinscheduler"
common:
configmap:
DOLPHINSCHEDULER_ENV_PATH: "/tmp/dolphinscheduler/env"
DOLPHINSCHEDULER_DATA_BASEDIR_PATH: "/tmp/dolphinscheduler/files"
RESOURCE_STORAGE_TYPE: "NONE"
RESOURCE_UPLOAD_PATH: "/ds"
FS_DEFAULT_FS: "s3a://xxxx"
FS_S3A_ENDPOINT: "s3.xxx.amazonaws.com"
FS_S3A_ACCESS_KEY: "xxxxxxx"
FS_S3A_SECRET_KEY: "xxxxxxx"
master:
podManagementPolicy: "Parallel"
replicas: "3"
# NodeSelector is a selector which must be true for the pod to fit on a node.
# Selector which must match a node's labels for the pod to be scheduled on that node.
# More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
nodeSelector: {}
# Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission,
# effectively unioning the set of nodes tolerated by the pod and the RuntimeClass.
tolerations: []
# Affinity is a group of affinity scheduling rules.
# If specified, the pod's scheduling constraints.
# More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core
affinity: {}
# The jvm options for java instance startup
jvmOptions: ""
resources: {}
# limits:
# memory: "18Gi"
# cpu: "4"
# requests:
# memory: "2Gi"
# cpu: "500m"
# You can use annotations to attach arbitrary non-identifying metadata to objects.
# Clients such as tools and libraries can retrieve this metadata.
annotations: {}
## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
configmap:
MASTER_EXEC_THREADS: "100"
MASTER_EXEC_TASK_NUM: "20"
MASTER_HEARTBEAT_INTERVAL: "10"
MASTER_TASK_COMMIT_RETRYTIMES: "5"
MASTER_TASK_COMMIT_INTERVAL: "1000"
MASTER_MAX_CPULOAD_AVG: "100"
MASTER_RESERVED_MEMORY: "0.1"
MASTER_LISTEN_PORT: "5678"
livenessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
readinessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## volumeClaimTemplates is a list of claims that pods are allowed to reference.
## The StatefulSet controller is responsible for mapping network identities to claims in a way that maintains the identity of a pod.
## Every claim in this list must have at least one matching (by name) volumeMount in one container in the template.
## A claim in this list takes precedence over any volumes in the template, with the same name.
persistentVolumeClaim:
enabled: false
accessModes:
- "ReadWriteOnce"
storageClassName: "-"
storage: "20Gi"
worker:
podManagementPolicy: "Parallel"
replicas: "3"
# NodeSelector is a selector which must be true for the pod to fit on a node.
# Selector which must match a node's labels for the pod to be scheduled on that node.
# More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
nodeSelector: {}
# Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission,
# effectively unioning the set of nodes tolerated by the pod and the RuntimeClass.
tolerations: []
# Affinity is a group of affinity scheduling rules.
# If specified, the pod's scheduling constraints.
# More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core
affinity: {}
# The jvm options for java instance startup
jvmOptions: ""
resources: {}
# limits:
# memory: "18Gi"
# cpu: "4"
# requests:
# memory: "2Gi"
# cpu: "500m"
# You can use annotations to attach arbitrary non-identifying metadata to objects.
# Clients such as tools and libraries can retrieve this metadata.
annotations: {}
## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
livenessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
readinessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
configmap:
WORKER_EXEC_THREADS: "100"
WORKER_HEARTBEAT_INTERVAL: "10"
WORKER_FETCH_TASK_NUM: "3"
WORKER_MAX_CPULOAD_AVG: "100"
WORKER_RESERVED_MEMORY: "0.1"
WORKER_LISTEN_PORT: "1234"
WORKER_GROUP: "default"
WORKER_WEIGHT: "100"
DOLPHINSCHEDULER_DATA_BASEDIR_PATH: "/tmp/dolphinscheduler"
DOLPHINSCHEDULER_ENV:
- "export HADOOP_HOME=/opt/soft/hadoop"
- "export HADOOP_CONF_DIR=/opt/soft/hadoop/etc/hadoop"
- "export SPARK_HOME1=/opt/soft/spark1"
- "export SPARK_HOME2=/opt/soft/spark2"
- "export PYTHON_HOME=/opt/soft/python"
- "export JAVA_HOME=/opt/soft/java"
- "export HIVE_HOME=/opt/soft/hive"
- "export FLINK_HOME=/opt/soft/flink"
- "export PATH=$HADOOP_HOME/bin:$SPARK_HOME1/bin:$SPARK_HOME2/bin:$PYTHON_HOME:$JAVA_HOME/bin:$HIVE_HOME/bin:$FLINK_HOME/bin:$PATH"
## volumeClaimTemplates is a list of claims that pods are allowed to reference.
## The StatefulSet controller is responsible for mapping network identities to claims in a way that maintains the identity of a pod.
## Every claim in this list must have at least one matching (by name) volumeMount in one container in the template.
## A claim in this list takes precedence over any volumes in the template, with the same name.
persistentVolumeClaim:
enabled: false
## dolphinscheduler data volume
dataPersistentVolume:
enabled: false
accessModes:
- "ReadWriteOnce"
storageClassName: "-"
storage: "20Gi"
## dolphinscheduler logs volume
logsPersistentVolume:
enabled: false
accessModes:
- "ReadWriteOnce"
storageClassName: "-"
storage: "20Gi"
alert:
strategy:
type: "RollingUpdate"
rollingUpdate:
maxSurge: "25%"
maxUnavailable: "25%"
replicas: "1"
# NodeSelector is a selector which must be true for the pod to fit on a node.
# Selector which must match a node's labels for the pod to be scheduled on that node.
# More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
nodeSelector: {}
# Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission,
# effectively unioning the set of nodes tolerated by the pod and the RuntimeClass.
tolerations: []
# Affinity is a group of affinity scheduling rules.
# If specified, the pod's scheduling constraints.
# More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core
affinity: {}
# The jvm options for java instance startup
jvmOptions: ""
resources: {}
# limits:
# memory: "4Gi"
# cpu: "1"
# requests:
# memory: "2Gi"
# cpu: "500m"
# You can use annotations to attach arbitrary non-identifying metadata to objects.
# Clients such as tools and libraries can retrieve this metadata.
annotations: {}
## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
configmap:
ALERT_PLUGIN_DIR: "/opt/dolphinscheduler/alert/plugin"
XLS_FILE_PATH: "/tmp/xls"
MAIL_SERVER_HOST: ""
MAIL_SERVER_PORT: ""
MAIL_SENDER: ""
MAIL_USER: ""
MAIL_PASSWD: ""
MAIL_SMTP_STARTTLS_ENABLE: false
MAIL_SMTP_SSL_ENABLE: false
MAIL_SMTP_SSL_TRUST: ""
ENTERPRISE_WECHAT_ENABLE: false
ENTERPRISE_WECHAT_CORP_ID: ""
ENTERPRISE_WECHAT_SECRET: ""
ENTERPRISE_WECHAT_AGENT_ID: ""
ENTERPRISE_WECHAT_USERS: ""
livenessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
readinessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## volumeClaimTemplates is a list of claims that pods are allowed to reference.
## The StatefulSet controller is responsible for mapping network identities to claims in a way that maintains the identity of a pod.
## Every claim in this list must have at least one matching (by name) volumeMount in one container in the template.
## A claim in this list takes precedence over any volumes in the template, with the same name.
persistentVolumeClaim:
enabled: false
accessModes:
- "ReadWriteOnce"
storageClassName: "-"
storage: "20Gi"
api:
strategy:
type: "RollingUpdate"
rollingUpdate:
maxSurge: "25%"
maxUnavailable: "25%"
replicas: "1"
# NodeSelector is a selector which must be true for the pod to fit on a node.
# Selector which must match a node's labels for the pod to be scheduled on that node.
# More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
nodeSelector: {}
# Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission,
# effectively unioning the set of nodes tolerated by the pod and the RuntimeClass.
tolerations: []
# Affinity is a group of affinity scheduling rules.
# If specified, the pod's scheduling constraints.
# More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core
affinity: {}
# The jvm options for java instance startup
jvmOptions: ""
resources: {}
# limits:
# memory: "4Gi"
# cpu: "2"
# requests:
# memory: "2Gi"
# cpu: "500m"
# You can use annotations to attach arbitrary non-identifying metadata to objects.
# Clients such as tools and libraries can retrieve this metadata.
annotations: {}
## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
livenessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
readinessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## volumeClaimTemplates is a list of claims that pods are allowed to reference.
## The StatefulSet controller is responsible for mapping network identities to claims in a way that maintains the identity of a pod.
## Every claim in this list must have at least one matching (by name) volumeMount in one container in the template.
## A claim in this list takes precedence over any volumes in the template, with the same name.
persistentVolumeClaim:
enabled: false
accessModes:
- "ReadWriteOnce"
storageClassName: "-"
storage: "20Gi"
frontend:
strategy:
type: "RollingUpdate"
rollingUpdate:
maxSurge: "25%"
maxUnavailable: "25%"
replicas: "1"
# NodeSelector is a selector which must be true for the pod to fit on a node.
# Selector which must match a node's labels for the pod to be scheduled on that node.
# More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
nodeSelector: {}
# Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission,
# effectively unioning the set of nodes tolerated by the pod and the RuntimeClass.
tolerations: []
# Affinity is a group of affinity scheduling rules.
# If specified, the pod's scheduling constraints.
# More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core
affinity: {}
resources: {}
# limits:
# memory: "256Mi"
# cpu: "1"
# requests:
# memory: "256Mi"
# cpu: "500m"
# You can use annotations to attach arbitrary non-identifying metadata to objects.
# Clients such as tools and libraries can retrieve this metadata.
annotations: {}
## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
livenessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
readinessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## volumeClaimTemplates is a list of claims that pods are allowed to reference.
## The StatefulSet controller is responsible for mapping network identities to claims in a way that maintains the identity of a pod.
## Every claim in this list must have at least one matching (by name) volumeMount in one container in the template.
## A claim in this list takes precedence over any volumes in the template, with the same name.
persistentVolumeClaim:
enabled: false
accessModes:
- "ReadWriteOnce"
storageClassName: "-"
storage: "20Gi"
ingress:
enabled: false
host: "dolphinscheduler.org"
path: "/"
tls:
enabled: false
hosts:
- "dolphinscheduler.org"
secretName: "dolphinscheduler-tls"