# # 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. timezone: "Asia/Shanghai" image: repository: "apache/dolphinscheduler" tag: "1.3.6-SNAPSHOT" pullPolicy: "IfNotPresent" pullSecret: "" ## 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" params: "characterEncoding=utf8" ## If not exists external zookeeper, by default, Dolphinscheduler's zookeeper will use it. zookeeper: enabled: true fourlwCommandsWhitelist: "srvr,ruok,wchs,cons" persistence: enabled: false size: "20Gi" storageClass: "-" zookeeperRoot: "/dolphinscheduler" ## If exists external zookeeper, and set zookeeper.enable value to false. ## If zookeeper.enable is false, Dolphinscheduler's zookeeper will use it. externalZookeeper: zookeeperQuorum: "127.0.0.1:2181" zookeeperRoot: "/dolphinscheduler" common: ## Configmap configmap: DOLPHINSCHEDULER_OPTS: "" DATA_BASEDIR_PATH: "/tmp/dolphinscheduler" RESOURCE_STORAGE_TYPE: "HDFS" RESOURCE_UPLOAD_PATH: "/dolphinscheduler" FS_DEFAULT_FS: "file:///" FS_S3A_ENDPOINT: "s3.xxx.amazonaws.com" FS_S3A_ACCESS_KEY: "xxxxxxx" FS_S3A_SECRET_KEY: "xxxxxxx" HADOOP_SECURITY_AUTHENTICATION_STARTUP_STATE: "false" JAVA_SECURITY_KRB5_CONF_PATH: "/opt/krb5.conf" LOGIN_USER_KEYTAB_USERNAME: "hdfs@HADOOP.COM" LOGIN_USER_KEYTAB_PATH: "/opt/hdfs.keytab" KERBEROS_EXPIRE_TIME: "2" HDFS_ROOT_USER: "hdfs" RESOURCE_MANAGER_HTTPADDRESS_PORT: "8088" YARN_RESOURCEMANAGER_HA_RM_IDS: "" YARN_APPLICATION_STATUS_ADDRESS: "http://ds1:%s/ws/v1/cluster/apps/%s" YARN_JOB_HISTORY_STATUS_ADDRESS: "http://ds1:19888/ws/v1/history/mapreduce/jobs/%s" DATASOURCE_ENCRYPTION_ENABLE: "false" DATASOURCE_ENCRYPTION_SALT: "!@#$%^&*" SUDO_ENABLE: "true" # dolphinscheduler env HADOOP_HOME: "/opt/soft/hadoop" HADOOP_CONF_DIR: "/opt/soft/hadoop/etc/hadoop" SPARK_HOME1: "/opt/soft/spark1" SPARK_HOME2: "/opt/soft/spark2" PYTHON_HOME: "/usr/bin/python" JAVA_HOME: "/usr/local/openjdk-8" HIVE_HOME: "/opt/soft/hive" FLINK_HOME: "/opt/soft/flink" DATAX_HOME: "/opt/soft/datax" ## Shared storage persistence mounted into api, master and worker, such as Hadoop, Spark, Flink and DataX binary package sharedStoragePersistence: enabled: false mountPath: "/opt/soft" accessModes: - "ReadWriteMany" ## storageClassName must support the access mode: ReadWriteMany storageClassName: "-" storage: "20Gi" ## If RESOURCE_STORAGE_TYPE is HDFS and FS_DEFAULT_FS is file:///, fsFileResourcePersistence should be enabled for resource storage fsFileResourcePersistence: enabled: false accessModes: - "ReadWriteMany" ## storageClassName must support the access mode: ReadWriteMany storageClassName: "-" storage: "20Gi" master: ## PodManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down. podManagementPolicy: "Parallel" ## Replicas is the desired number of replicas of the given Template. replicas: "3" ## You can use annotations to attach arbitrary non-identifying metadata to objects. ## Clients such as tools and libraries can retrieve this metadata. annotations: {} ## 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: {} ## 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: [] ## Compute Resources required by this container. Cannot be updated. ## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container resources: {} # resources: # limits: # memory: "8Gi" # cpu: "4" # requests: # memory: "2Gi" # cpu: "500m" ## Configmap configmap: MASTER_SERVER_OPTS: "-Xms1g -Xmx1g -Xmn512m" MASTER_EXEC_THREADS: "100" MASTER_EXEC_TASK_NUM: "20" MASTER_DISPATCH_TASK_NUM: "3" MASTER_HOST_SELECTOR: "LowerWeight" MASTER_HEARTBEAT_INTERVAL: "10" MASTER_TASK_COMMIT_RETRYTIMES: "5" MASTER_TASK_COMMIT_INTERVAL: "1000" MASTER_MAX_CPULOAD_AVG: "-1" MASTER_RESERVED_MEMORY: "0.3" ## 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" ## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace. ## 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 controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down. podManagementPolicy: "Parallel" ## Replicas is the desired number of replicas of the given Template. replicas: "3" ## You can use annotations to attach arbitrary non-identifying metadata to objects. ## Clients such as tools and libraries can retrieve this metadata. annotations: {} ## 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: {} ## 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: [] ## Compute Resources required by this container. Cannot be updated. ## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container resources: {} # resources: # limits: # memory: "8Gi" # cpu: "4" # requests: # memory: "2Gi" # cpu: "500m" ## Configmap configmap: LOGGER_SERVER_OPTS: "-Xms512m -Xmx512m -Xmn256m" WORKER_SERVER_OPTS: "-Xms1g -Xmx1g -Xmn512m" WORKER_EXEC_THREADS: "100" WORKER_HEARTBEAT_INTERVAL: "10" WORKER_HOST_WEIGHT: "100" WORKER_MAX_CPULOAD_AVG: "-1" WORKER_RESERVED_MEMORY: "0.3" WORKER_GROUPS: "default" ## 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" ## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace. ## 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: ## Number of desired pods. This is a pointer to distinguish between explicit zero and not specified. Defaults to 1. replicas: "1" ## The deployment strategy to use to replace existing pods with new ones. strategy: type: "RollingUpdate" rollingUpdate: maxSurge: "25%" maxUnavailable: "25%" ## You can use annotations to attach arbitrary non-identifying metadata to objects. ## Clients such as tools and libraries can retrieve this metadata. annotations: {} ## 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/ affinity: {} ## Compute Resources required by this container. Cannot be updated. ## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container 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 resources: {} # resources: # limits: # memory: "2Gi" # cpu: "1" # requests: # memory: "1Gi" # cpu: "500m" ## Configmap configmap: ALERT_SERVER_OPTS: "-Xms512m -Xmx512m -Xmn256m" ALERT_PLUGIN_DIR: "lib/plugin/alert" ## 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" ## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace. ## More info: https://kubernetes.io/docs/concepts/storage/persistent-volumes#persistentvolumeclaims persistentVolumeClaim: enabled: false accessModes: - "ReadWriteOnce" storageClassName: "-" storage: "20Gi" api: ## Number of desired pods. This is a pointer to distinguish between explicit zero and not specified. Defaults to 1. replicas: "1" ## The deployment strategy to use to replace existing pods with new ones. strategy: type: "RollingUpdate" rollingUpdate: maxSurge: "25%" maxUnavailable: "25%" ## You can use annotations to attach arbitrary non-identifying metadata to objects. ## Clients such as tools and libraries can retrieve this metadata. annotations: {} ## 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/ affinity: {} ## Compute Resources required by this container. Cannot be updated. ## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container 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 resources: {} # resources: # limits: # memory: "2Gi" # cpu: "1" # requests: # memory: "1Gi" # cpu: "500m" ## Configmap configmap: API_SERVER_OPTS: "-Xms512m -Xmx512m -Xmn256m" ## 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" ## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace. ## More info: https://kubernetes.io/docs/concepts/storage/persistent-volumes#persistentvolumeclaims persistentVolumeClaim: enabled: false accessModes: - "ReadWriteOnce" storageClassName: "-" storage: "20Gi" service: ## type determines how the Service is exposed. Defaults to ClusterIP. Valid options are ExternalName, ClusterIP, NodePort, and LoadBalancer type: "ClusterIP" ## clusterIP is the IP address of the service and is usually assigned randomly by the master clusterIP: "" ## nodePort is the port on each node on which this service is exposed when type=NodePort nodePort: "" ## externalIPs is a list of IP addresses for which nodes in the cluster will also accept traffic for this service externalIPs: [] ## externalName is the external reference that kubedns or equivalent will return as a CNAME record for this service, requires Type to be ExternalName externalName: "" ## loadBalancerIP when service.type is LoadBalancer. LoadBalancer will get created with the IP specified in this field loadBalancerIP: "" ## annotations may need to be set when service.type is LoadBalancer ## service.beta.kubernetes.io/aws-load-balancer-ssl-cert: arn:aws:acm:us-east-1:EXAMPLE_CERT annotations: {} ingress: enabled: false host: "dolphinscheduler.org" path: "/dolphinscheduler" tls: enabled: false secretName: "dolphinscheduler-tls"