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