K8s 集群 +Rancher Server：部署 DolphinScheduler 3.2.2 集群

[root@master ~]# mkdir /opt/dolphinscheduler#[root@master ~]# cd /opt/dolphinscheduler[root@master dolphinscheduler]# curl -Lo https://dlcdn.apache.org/dolphinscheduler/3.2.2/apache-dolphinscheduler-3.2.2-src.tar.gz[root@master dolphinscheduler]# tar -xzvf ./apache-dolphinscheduler-3.2.2-src.tar.gz

[root@master dolphinscheduler]# cd /opt/dolphinscheduler/apache-dolphinscheduler-3.2.2-src/deploy/kubernetes/dolphinscheduler[root@master dolphinscheduler]# vim Chart.yaml

# Application charts are a collection of templates that can be packaged into versioned archives# to be deployed.## Library charts provide useful utilities or functions for the chart developer. They're included as# a dependency of application charts to inject those utilities and functions into the rendering# pipeline. Library charts do not define any templates and therefore cannot be deployed.type: application
# This is the chart version. This version number should be incremented each time you make changes# to the chart and its templates, including the app version.version: 3.3.0-alpha
# This is the version number of the application being deployed. This version number should be# incremented each time you make changes to the application.appVersion: 3.3.0-alpha
dependencies:- name: postgresql  version: 10.3.18  # Due to a change in the Bitnami repo, https://charts.bitnami.com/bitnami was truncated only  # containing entries for the latest 6 months (from January 2022 on).  # This URL: https://raw.githubusercontent.com/bitnami/charts/archive-full-index/bitnami  # contains the full 'index.yaml'.  # See detail here: https://github.com/bitnami/charts/issues/10833  #repository: https://raw.githubusercontent.com/bitnami/charts/archive-full-index/bitnami  repository: https://raw.gitmirror.com/bitnami/charts/archive-full-index/bitnami  condition: postgresql.enabled- name: zookeeper  version: 6.5.3  # Same as above.  #repository: https://raw.githubusercontent.com/bitnami/charts/archive-full-index/bitnami  repository: https://raw.gitmirror.com/bitnami/charts/archive-full-index/bitnami  condition: zookeeper.enabled- name: mysql  version: 9.4.1  #repository: https://raw.githubusercontent.com/bitnami/charts/archive-full-index/bitnami  repository: https://raw.gitmirror.com/bitnami/charts/archive-full-index/bitnami  condition: mysql.enabled- name: minio  version: 11.10.13  #repository: https://raw.githubusercontent.com/bitnami/charts/archive-full-index/bitnami  repository: https://raw.gitmirror.com/bitnami/charts/archive-full-index/bitnami  condition: minio.enabled

[root@master dolphinscheduler]# helm repo add bitnami-full-index  https://raw.gitmirror.com/bitnami/charts/archive-full-index/bitnami[root@master dolphinscheduler]# helm repo add bitnami https://charts.bitnami.com/bitnami[root@master dolphinscheduler]# helm dependency update .

[root@master dolphinscheduler]# tar -zxvf minio-11.10.13.tgz[root@master dolphinscheduler]# tar -zxvf postgresql-10.3.18.tgz[root@master dolphinscheduler]# tar -zxvf zookeeper-6.5.3.tgz

cd /opt/dolphinscheduler/apache-dolphinscheduler-3.2.2-src/deploy/kubernetes/dolphinschedulervim values.yaml

# -- World time and date for cities in all time zonestimezone: "Asia/Shanghai"
# -- Used to detect whether dolphinscheduler dependent services such as database are readyinitImage:  # -- Image pull policy. Options: Always, Never, IfNotPresent  pullPolicy: "IfNotPresent"  # -- Specify initImage repository  #busybox: "busybox:1.30.1"  busybox: "registry.cn-hangzhou.aliyuncs.com/docker_image-ljx/busybox:1.30.1"
image:  # -- Docker image repository for the DolphinScheduler  registry: registry.cn-hangzhou.aliyuncs.com/docker_image-ljx  # -- Docker image version for the DolphinScheduler  tag: 3.2.2  # -- Image pull policy. Options: Always, Never, IfNotPresent  pullPolicy: "IfNotPresent"  # -- Specify a imagePullSecrets  pullSecret: ""  # -- master image  master: dolphinscheduler-master  # -- worker image  worker: dolphinscheduler-worker  # -- api-server image  api: dolphinscheduler-api  # -- alert-server image  alert: dolphinscheduler-alert-server  # -- tools image  tools: dolphinscheduler-tools

image:  registry: docker.io  repository: bitnami/postgresql  tag: 11.11.0-debian-10-r71  ## Specify a imagePullPolicy  ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'  ## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images  ##  pullPolicy: IfNotPresent  ## Optionally specify an array of imagePullSecrets.  ## Secrets must be manually created in the namespace.  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/  ##  # pullSecrets:  #   - myRegistryKeySecretName
  ## Set to true if you would like to see extra information on logs  ## It turns BASH and/or NAMI debugging in the image  ##  debug: false

datasource:  # -- The profile of datasource  profile: postgresql
postgresql:  image:    registry: docker.io    repository: bitnami/postgresql    tag: 11.11.0-debian-10-r71  # -- If not exists external PostgreSQL, by default, the DolphinScheduler will use a internal PostgreSQL  enabled: true  # -- The username for internal PostgreSQL  postgresqlUsername: "root"  # -- The password for internal PostgreSQL  postgresqlPassword: "root"  # -- The database for internal PostgreSQL  postgresqlDatabase: "dolphinscheduler"  # -- The driverClassName for internal PostgreSQL  driverClassName: "org.postgresql.Driver"  # -- The params for internal PostgreSQL  params: "characterEncoding=utf8"  persistence:    # -- Set postgresql.persistence.enabled to true to mount a new volume for internal PostgreSQL    enabled: false    # -- `PersistentVolumeClaim` size    size: "20Gi"    # -- PostgreSQL data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning    storageClass: "-"

image:  registry: docker.io  repository: bitnami/minio  tag: 2022.10.29-debian-11-r0  digest: ""  ## Specify a imagePullPolicy  ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'  ## ref: https://kubernetes.io/docs/user-guide/images/#pre-pulling-images  ##  pullPolicy: IfNotPresent  ## Optionally specify an array of imagePullSecrets.  ## Secrets must be manually created in the namespace.  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/  ## e.g:  ## pullSecrets:  ##   - myRegistryKeySecretName  ##  pullSecrets: []  ## Set to true if you would like to see extra information on logs  ##  debug: false

minio:  image:    registry: docker.io    repository: bitnami/minio    tag: 2022.10.29-debian-11-r0
  # -- Deploy minio and configure it as the default storage for DolphinScheduler, note this is for demo only, not for production.  enabled: true  auth:    # -- minio username    rootUser: minioadmin    # -- minio password    rootPassword: minioadmin  persistence:    # -- Set minio.persistence.enabled to true to mount a new volume for internal minio    enabled: false  # -- minio default buckets  defaultBuckets: "dolphinscheduler"

image:  registry: docker.io  repository: bitnami/zookeeper  tag: 3.6.2-debian-10-r185
  ## Specify a imagePullPolicy  ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'  ## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images  ##  pullPolicy: IfNotPresent  ## Optionally specify an array of imagePullSecrets.  ## Secrets must be manually created in the namespace.  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/  ##  # pullSecrets:  #   - myRegistryKeySecretName  ## Set to true if you would like to see extra information on logs  ## It turns BASH and/or NAMI debugging in the image  ##  debug: false

zookeeper:  image:    registry: docker.io    repository: bitnami/zookeeper    tag: 3.6.2-debian-10-r185
  # -- If not exists external registry, the zookeeper registry will be used by default.  enabled: true  service:    # -- The port of zookeeper    port: 2181  # -- A list of comma separated Four Letter Words commands to use  fourlwCommandsWhitelist: "srvr,ruok,wchs,cons"  persistence:    # -- Set `zookeeper.persistence.enabled` to true to mount a new volume for internal ZooKeeper    enabled: false    # -- PersistentVolumeClaim size    size: "20Gi"    # -- ZooKeeper data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning    storageClass: "-"

master:  # -- Enable or disable the Master component  enabled: true  replicas: "1"  resources:    limits:      memory: "4Gi"      cpu: "4"    requests:      memory: "2Gi"      cpu: "500m"    persistentVolumeClaim:    # -- Set `worker.persistentVolumeClaim.enabled` to `true` to enable `persistentVolumeClaim` for `worker`    enabled: true    ## dolphinscheduler data volume    dataPersistentVolume:      # -- Set `worker.persistentVolumeClaim.dataPersistentVolume.enabled` to `true` to mount a data volume for `worker`      enabled: true      # -- `PersistentVolumeClaim` access modes      accessModes:      - "ReadWriteOnce"      # -- `Worker` data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning      storageClassName: "-"      # -- `PersistentVolumeClaim` size      storage: "20Gi"  env:    # -- The jvm options for master server    JAVA_OPTS: "-Xms1g -Xmx1g -Xmn512m"

## 创建了一个存储类apiVersion: storage.k8s.io/v1kind: StorageClassmetadata:  name: nfs-storage  annotations:    storageclass.kubernetes.io/is-default-class: "true"provisioner: k8s-sigs.io/nfs-subdir-external-provisionerparameters:  archiveOnDelete: "true"  ## 删除pv的时候，pv的内容是否要备份
---apiVersion: apps/v1kind: Deploymentmetadata:  name: nfs-client  labels:    app: nfs-client  # replace with namespace where provisioner is deployed  namespace: defaultspec:  replicas: 1  strategy:    type: Recreate  selector:    matchLabels:      app: nfs-client  template:    metadata:      labels:        app: nfs-client    spec:      serviceAccountName: nfs-client      containers:        - name: nfs-client          image: registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/nfs-subdir-external-provisioner:v4.0.2          # resources:          #    limits:          #      cpu: 10m          #    requests:          #      cpu: 10m          volumeMounts:            - name: nfs-client-root              mountPath: /persistentvolumes          env:            - name: PROVISIONER_NAME              value: k8s-sigs.io/nfs-subdir-external-provisioner            - name: NFS_SERVER              value: 192.168.255.140 ## 指定自己nfs服务器地址            - name: NFS_PATH                value: /data/nfsdata  ## nfs服务器共享的目录      volumes:        - name: nfs-client-root          nfs:            server: 192.168.255.140            path: /data/nfsdata---apiVersion: v1kind: ServiceAccountmetadata:  name: nfs-client  # replace with namespace where provisioner is deployed  namespace: default---kind: ClusterRoleapiVersion: rbac.authorization.k8s.io/v1metadata:  name: nfs-client-runnerrules:  - apiGroups: [""]    resources: ["nodes"]    verbs: ["get", "list", "watch"]  - apiGroups: [""]    resources: ["persistentvolumes"]    verbs: ["get", "list", "watch", "create", "delete"]  - apiGroups: [""]    resources: ["persistentvolumeclaims"]    verbs: ["get", "list", "watch", "update"]  - apiGroups: ["storage.k8s.io"]    resources: ["storageclasses"]    verbs: ["get", "list", "watch"]  - apiGroups: [""]    resources: ["events"]    verbs: ["create", "update", "patch"]---kind: ClusterRoleBindingapiVersion: rbac.authorization.k8s.io/v1metadata:  name: run-nfs-clientsubjects:  - kind: ServiceAccount    name: nfs-client    # replace with namespace where provisioner is deployed    namespace: defaultroleRef:  kind: ClusterRole  name: nfs-client-runner  apiGroup: rbac.authorization.k8s.io---kind: RoleapiVersion: rbac.authorization.k8s.io/v1metadata:  name: leader-locking-nfs-client  # replace with namespace where provisioner is deployed  namespace: defaultrules:  - apiGroups: [""]    resources: ["endpoints"]    verbs: ["get", "list", "watch", "create", "update", "patch"]---kind: RoleBindingapiVersion: rbac.authorization.k8s.io/v1metadata:  name: leader-locking-nfs-client  # replace with namespace where provisioner is deployed  namespace: defaultsubjects:  - kind: ServiceAccount    name: nfs-client    # replace with namespace where provisioner is deployed    namespace: defaultroleRef:  kind: Role  name: leader-locking-nfs-client  apiGroup: rbac.authorization.k8s.io

# 执行发布安装kubectl apply -f sc.yaml
# 查看nfs-client-provisioner pod 是否安装成功kubectl get pod -A

worker:  # -- Enable or disable the Worker component  enabled: true  replicas: "1"  resources:    limits:      memory: "4Gi"      cpu: "2"    requests:      memory: "2Gi"      cpu: "500m"    persistentVolumeClaim:    # -- Set `worker.persistentVolumeClaim.enabled` to `true` to enable `persistentVolumeClaim` for `worker`    enabled: true    ## dolphinscheduler data volume    dataPersistentVolume:      # -- Set `worker.persistentVolumeClaim.dataPersistentVolume.enabled` to `true` to mount a data volume for `worker`      enabled: true      # -- `PersistentVolumeClaim` access modes      accessModes:      - "ReadWriteOnce"      # -- `Worker` data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning      storageClassName: "nfs-storage"      # -- `PersistentVolumeClaim` size      storage: "20Gi"  env:    # -- The jvm options for master server    JAVA_OPTS: "-Xms1g -Xmx1g -Xmn512m"

alert:  # -- Enable or disable the Worker component  enabled: true  replicas: "1"  resources:    limits:      memory: "2Gi"      cpu: "1"    requests:      memory: "1Gi"      cpu: "500m"  persistentVolumeClaim:    # -- Set `worker.persistentVolumeClaim.enabled` to `true` to enable `persistentVolumeClaim` for `worker`    enabled: true    ## dolphinscheduler data volume    dataPersistentVolume:      # -- Set `worker.persistentVolumeClaim.dataPersistentVolume.enabled` to `true` to mount a data volume for `worker`      enabled: true      # -- `PersistentVolumeClaim` access modes      accessModes:      - "ReadWriteOnce"      # -- `Worker` data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning      storageClassName: "-"      # -- `PersistentVolumeClaim` size      storage: "20Gi"  env:    # -- The jvm options for master server    JAVA_OPTS: "-Xms1g -Xmx1g -Xmn512m"

## 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.
# -- World time and date for cities in all time zonestimezone: "Asia/Shanghai"
# -- Used to detect whether dolphinscheduler dependent services such as database are readyinitImage:  # -- Image pull policy. Options: Always, Never, IfNotPresent  pullPolicy: "IfNotPresent"  # -- Specify initImage repository  busybox: "registry.cn-hangzhou.aliyuncs.com/docker_image-ljx/busybox:1.30.1"
image:  # -- Docker image repository for the DolphinScheduler  registry: registry.cn-hangzhou.aliyuncs.com/docker_image-ljx  # -- Docker image version for the DolphinScheduler  tag: 3.2.2  # -- Image pull policy. Options: Always, Never, IfNotPresent  pullPolicy: "IfNotPresent"  # -- Specify a imagePullSecrets  pullSecret: ""  # -- master image  master: dolphinscheduler-master  # -- worker image  worker: dolphinscheduler-worker  # -- api-server image  api: dolphinscheduler-api  # -- alert-server image  alert: dolphinscheduler-alert-server  # -- tools image  tools: dolphinscheduler-tools
datasource:  # -- The profile of datasource  profile: postgresql
postgresql:  image:    registry: docker.io    repository: bitnami/postgresql    tag: 11.11.0-debian-10-r71  # -- If not exists external PostgreSQL, by default, the DolphinScheduler will use a internal PostgreSQL  enabled: true  # -- The username for internal PostgreSQL  postgresqlUsername: "root"  # -- The password for internal PostgreSQL  postgresqlPassword: "root"  # -- The database for internal PostgreSQL  postgresqlDatabase: "dolphinscheduler"  # -- The driverClassName for internal PostgreSQL  driverClassName: "org.postgresql.Driver"  # -- The params for internal PostgreSQL  params: "characterEncoding=utf8"  persistence:    # -- Set postgresql.persistence.enabled to true to mount a new volume for internal PostgreSQL    enabled: false    # -- `PersistentVolumeClaim` size    size: "20Gi"    # -- PostgreSQL data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning    storageClass: "-"
mysql:  image:    registry: docker.io    repository: bitnami/mysql    tag: 8.0.31-debian-11-r0  # -- If not exists external MySQL, by default, the DolphinScheduler will use a internal MySQL  enabled: false  # -- mysql driverClassName  driverClassName: "com.mysql.cj.jdbc.Driver"  auth:    # -- mysql username    username: "ds"    # -- mysql password    password: "ds"    # -- mysql database    database: "dolphinscheduler"    # -- mysql params    params: "characterEncoding=utf8"  primary:    persistence:      # -- Set mysql.primary.persistence.enabled to true to mount a new volume for internal MySQL      enabled: false      # -- `PersistentVolumeClaim` size      size: "20Gi"      # -- MySQL data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning      storageClass: "-"
minio:  image:    registry: docker.io    repository: bitnami/minio    tag: 2022.10.29-debian-11-r0  # -- Deploy minio and configure it as the default storage for DolphinScheduler, note this is for demo only, not for production.  enabled: true  auth:    # -- minio username    rootUser: minioadmin    # -- minio password    rootPassword: minioadmin  persistence:    # -- Set minio.persistence.enabled to true to mount a new volume for internal minio    enabled: false  # -- minio default buckets  defaultBuckets: "dolphinscheduler"

externalDatabase:  # -- If exists external database, and set postgresql.enable value to false.  # external database will be used, otherwise Dolphinscheduler's internal database will be used.  enabled: false  # -- The type of external database, supported types: postgresql, mysql  type: "postgresql"  # -- The host of external database  host: "localhost"  # -- The port of external database  port: "5432"  # -- The username of external database  username: "root"  # -- The password of external database  password: "root"  # -- The database of external database  database: "dolphinscheduler"  # -- The params of external database  params: "characterEncoding=utf8"  # -- The driverClassName of external database  driverClassName: "org.postgresql.Driver"
zookeeper:  image:    registry: docker.io    repository: bitnami/zookeeper    tag: 3.6.2-debian-10-r185  # -- If not exists external registry, the zookeeper registry will be used by default.  enabled: true  service:    # -- The port of zookeeper    port: 2181  # -- A list of comma separated Four Letter Words commands to use  fourlwCommandsWhitelist: "srvr,ruok,wchs,cons"  persistence:    # -- Set `zookeeper.persistence.enabled` to true to mount a new volume for internal ZooKeeper    enabled: false    # -- PersistentVolumeClaim size    size: "20Gi"    # -- ZooKeeper data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning    storageClass: "-"
registryEtcd:  # -- If you want to use Etcd for your registry center, change this value to true. And set zookeeper.enabled to false  enabled: false  # -- Etcd endpoints  endpoints: ""  # -- Etcd namespace  namespace: "dolphinscheduler"  # -- Etcd user  user: ""  # -- Etcd passWord  passWord: ""  # -- Etcd authority  authority: ""  # Please create a new folder: deploy/kubernetes/dolphinscheduler/etcd-certs  ssl:    # -- If your Etcd server has configured with ssl, change this value to true. About certification files you can see [here](https://github.com/etcd-io/jetcd/blob/main/docs/SslConfig.md) for how to convert.    enabled: false    # -- CertFile file path    certFile: "etcd-certs/ca.crt"    # -- keyCertChainFile file path    keyCertChainFile: "etcd-certs/client.crt"    # -- keyFile file path    keyFile: "etcd-certs/client.pem"
registryJdbc:  # -- If you want to use JDbc for your registry center, change this value to true. And set zookeeper.enabled and registryEtcd.enabled to false  enabled: false  # -- Used to schedule refresh the ephemeral data/ lock  termRefreshInterval: 2s  # -- Used to calculate the expire time  termExpireTimes: 3  hikariConfig:    # -- Default use same Dolphinscheduler's database, if you want to use other database please change `enabled` to `true` and change other configs    enabled: false    # -- Default use same Dolphinscheduler's database if you don't change this value. If you set this value, Registry jdbc's database type will use it    driverClassName: com.mysql.cj.jdbc.Driver    # -- Default use same Dolphinscheduler's database if you don't change this value. If you set this value, Registry jdbc's database type will use it    jdbcurl: jdbc:mysql://    # -- Default use same Dolphinscheduler's database if you don't change this value. If you set this value, Registry jdbc's database type will use it    username: ""    # -- Default use same Dolphinscheduler's database if you don't change this value. If you set this value, Registry jdbc's database type will use it    password: ""
## If exists external registry and set zookeeper.enable value to false, the external registry will be used.externalRegistry:  # -- If exists external registry and set `zookeeper.enable` && `registryEtcd.enabled` && `registryJdbc.enabled` to false, specify the external registry plugin name  registryPluginName: "zookeeper"  # -- If exists external registry and set `zookeeper.enable` && `registryEtcd.enabled` && `registryJdbc.enabled` to false, specify the external registry servers  registryServers: "127.0.0.1:2181"
security:  authentication:    # -- Authentication types (supported types: PASSWORD,LDAP,CASDOOR_SSO)    type: PASSWORD    # IF you set type `LDAP`, below config will be effective    ldap:      # -- LDAP urls      urls: ldap://ldap.forumsys.com:389/      # -- LDAP base dn      basedn: dc=example,dc=com      # -- LDAP username      username: cn=read-only-admin,dc=example,dc=com      # -- LDAP password      password: password      user:        # -- Admin user account when you log-in with LDAP        admin: read-only-admin        # -- LDAP user identity attribute        identityattribute: uid        # -- LDAP user email attribute        emailattribute: mail        # -- action when ldap user is not exist,default value: CREATE. Optional values include(CREATE,DENY)        notexistaction: CREATE      ssl:        # -- LDAP ssl switch        enable: false        # -- LDAP jks file absolute path, do not change this value        truststore: "/opt/ldapkeystore.jks"        # -- LDAP jks file base64 content.        # If you use macOS, please run `base64 -b 0 -i /path/to/your.jks`.        # If you use Linux, please run `base64 -w 0 /path/to/your.jks`.        # If you use Windows, please run `certutil -f -encode /path/to/your.jks`.        # Then copy the base64 content to below field in one line        jksbase64content: ""        # -- LDAP jks password        truststorepassword: ""
conf:  # -- auto restart, if true, all components will be restarted automatically after the common configuration is updated. if false, you need to restart the components manually. default is false  auto: false  # common configuration  common:    # -- user data local directory path, please make sure the directory exists and have read write permissions    data.basedir.path: /tmp/dolphinscheduler
    # -- resource storage type: HDFS, S3, OSS, GCS, ABS, NONE    resource.storage.type: S3
    # -- resource store on HDFS/S3 path, resource file will store to this base path, self configuration, please make sure the directory exists on hdfs and have read write permissions. "/dolphinscheduler" is recommended    resource.storage.upload.base.path: /dolphinscheduler
    # -- The AWS access key. if resource.storage.type=S3 or use EMR-Task, This configuration is required    resource.aws.access.key.id: minioadmin
    # -- The AWS secret access key. if resource.storage.type=S3 or use EMR-Task, This configuration is required    resource.aws.secret.access.key: minioadmin
    # -- The AWS Region to use. if resource.storage.type=S3 or use EMR-Task, This configuration is required    resource.aws.region: ca-central-1
    # -- The name of the bucket. You need to create them by yourself. Otherwise, the system cannot start. All buckets in Amazon S3 share a single namespace; ensure the bucket is given a unique name.    resource.aws.s3.bucket.name: dolphinscheduler
    # -- You need to set this parameter when private cloud s3. If S3 uses public cloud, you only need to set resource.aws.region or set to the endpoint of a public cloud such as S3.cn-north-1.amazonaws.com.cn    resource.aws.s3.endpoint: http://minio:9000
    # -- alibaba cloud access key id, required if you set resource.storage.type=OSS    resource.alibaba.cloud.access.key.id: <your-access-key-id>
    # -- alibaba cloud access key secret, required if you set resource.storage.type=OSS    resource.alibaba.cloud.access.key.secret: <your-access-key-secret>
    # -- alibaba cloud region, required if you set resource.storage.type=OSS    resource.alibaba.cloud.region: cn-hangzhou
    # -- oss bucket name, required if you set resource.storage.type=OSS    resource.alibaba.cloud.oss.bucket.name: dolphinscheduler
    # -- oss bucket endpoint, required if you set resource.storage.type=OSS    resource.alibaba.cloud.oss.endpoint: https://oss-cn-hangzhou.aliyuncs.com
    # -- azure storage account name, required if you set resource.storage.type=ABS    resource.azure.client.id: minioadmin
    # -- azure storage account key, required if you set resource.storage.type=ABS    resource.azure.client.secret: minioadmin
    # -- azure storage subId, required if you set resource.storage.type=ABS    resource.azure.subId: minioadmin
    # -- azure storage tenantId, required if you set resource.storage.type=ABS    resource.azure.tenant.id: minioadmin
    # -- if resource.storage.type=HDFS, the user must have the permission to create directories under the HDFS root path    resource.hdfs.root.user: hdfs
    # -- if resource.storage.type=S3, the value like: s3a://dolphinscheduler; if resource.storage.type=HDFS and namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dir    resource.hdfs.fs.defaultFS: hdfs://mycluster:8020
    # -- whether to startup kerberos    hadoop.security.authentication.startup.state: false
    # -- java.security.krb5.conf path    java.security.krb5.conf.path: /opt/krb5.conf
    # -- login user from keytab username    login.user.keytab.username: hdfs-mycluster@ESZ.COM
    # -- login user from keytab path    login.user.keytab.path: /opt/hdfs.headless.keytab
    # -- kerberos expire time, the unit is hour    kerberos.expire.time: 2
    # -- resourcemanager port, the default value is 8088 if not specified    resource.manager.httpaddress.port: 8088
    # -- if resourcemanager HA is enabled, please set the HA IPs; if resourcemanager is single, keep this value empty    yarn.resourcemanager.ha.rm.ids: 192.168.xx.xx,192.168.xx.xx
    # -- if resourcemanager HA is enabled or not use resourcemanager, please keep the default value; If resourcemanager is single, you only need to replace ds1 to actual resourcemanager hostname    yarn.application.status.address: http://ds1:%s/ws/v1/cluster/apps/%s
    # -- job history status url when application number threshold is reached(default 10000, maybe it was set to 1000)    yarn.job.history.status.address: http://ds1:19888/ws/v1/history/mapreduce/jobs/%s
    # -- datasource encryption enable    datasource.encryption.enable: false
    # -- datasource encryption salt    datasource.encryption.salt: '!@#$%^&*'
    # -- data quality option    data-quality.jar.dir:
    # -- Whether hive SQL is executed in the same session    support.hive.oneSession: false
    # -- use sudo or not, if set true, executing user is tenant user and deploy user needs sudo permissions; if set false, executing user is the deploy user and doesn't need sudo permissions    sudo.enable: true
    # -- development state    development.state: false
    # -- rpc port    alert.rpc.port: 50052
    # -- set path of conda.sh    conda.path: /opt/anaconda3/etc/profile.d/conda.sh
    # -- Task resource limit state    task.resource.limit.state: false
    # -- mlflow task plugin preset repository    ml.mlflow.preset_repository: https://github.com/apache/dolphinscheduler-mlflow
    # -- mlflow task plugin preset repository version    ml.mlflow.preset_repository_version: "main"
    # -- way to collect applicationId: log, aop    appId.collect: log
common:  ## Configmap  configmap:    # -- The jvm options for dolphinscheduler, suitable for all servers    DOLPHINSCHEDULER_OPTS: ""    # -- User data directory path, self configuration, please make sure the directory exists and have read write permissions    DATA_BASEDIR_PATH: "/tmp/dolphinscheduler"
    # -- Resource store on HDFS/S3 path, please make sure the directory exists on hdfs and have read write permissions    RESOURCE_UPLOAD_PATH: "/dolphinscheduler"
    # dolphinscheduler env    # -- Set `HADOOP_HOME` for DolphinScheduler's task environment    HADOOP_HOME: "/opt/soft/hadoop"    # -- Set `HADOOP_CONF_DIR` for DolphinScheduler's task environment    HADOOP_CONF_DIR: "/opt/soft/hadoop/etc/hadoop"    # -- Set `SPARK_HOME` for DolphinScheduler's task environment    SPARK_HOME: "/opt/soft/spark"    # -- Set `PYTHON_LAUNCHER` for DolphinScheduler's task environment    PYTHON_LAUNCHER: "/usr/bin/python/bin/python3"    # -- Set `JAVA_HOME` for DolphinScheduler's task environment    JAVA_HOME: "/opt/java/openjdk"    # -- Set `HIVE_HOME` for DolphinScheduler's task environment    HIVE_HOME: "/opt/soft/hive"    # -- Set `FLINK_HOME` for DolphinScheduler's task environment    FLINK_HOME: "/opt/soft/flink"    # -- Set `DATAX_LAUNCHER` for DolphinScheduler's task environment    DATAX_LAUNCHER: "/opt/soft/datax/bin/datax.py"  ## Shared storage persistence mounted into api, master and worker, such as Hadoop, Spark, Flink and DataX binary package  sharedStoragePersistence:    # -- Set `common.sharedStoragePersistence.enabled` to `true` to mount a shared storage volume for Hadoop, Spark binary and etc    enabled: false    # -- The mount path for the shared storage volume    mountPath: "/opt/soft"    # -- `PersistentVolumeClaim` access modes, must be `ReadWriteMany`    accessModes:    - "ReadWriteMany"    # -- Shared Storage persistent volume storage class, must support the access mode: ReadWriteMany    storageClassName: "-"    # -- `PersistentVolumeClaim` size    storage: "20Gi"  ## If RESOURCE_STORAGE_TYPE is HDFS and FS_DEFAULT_FS is file:///, fsFileResourcePersistence should be enabled for resource storage  fsFileResourcePersistence:    # -- Set `common.fsFileResourcePersistence.enabled` to `true` to mount a new file resource volume for `api` and `worker`    enabled: false    # -- `PersistentVolumeClaim` access modes, must be `ReadWriteMany`    accessModes:    - "ReadWriteMany"    # -- Resource persistent volume storage class, must support the access mode: `ReadWriteMany`    storageClassName: "-"    # -- `PersistentVolumeClaim` size    storage: "20Gi"
master:  # -- Enable or disable the Master component  enabled: true  # -- 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: "1"  # -- 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: [node-affinity](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity)  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: [assign-pod-node](https://kubernetes.io/docs/concepts/scheduling-eviction/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.  # More info: [manage-resources-containers](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/)  #resources: {}  resources:    limits:      memory: "4Gi"      cpu: "4"    requests:      memory: "2Gi"      cpu: "500m"  # -- enable configure custom config  enableCustomizedConfig: false  # -- configure aligned with https://github.com/apache/dolphinscheduler/blob/dev/dolphinscheduler-master/src/main/resources/application.yaml  customizedConfig: { }  #  customizedConfig:  #    application.yaml: |  #      profiles:  #        active: postgresql  #      banner:  #        charset: UTF-8  #      jackson:  #        time-zone: UTC  #        date-format: "yyyy-MM-dd HH:mm:ss"  # -- Periodic probe of container liveness. Container will be restarted if the probe fails.  # More info: [container-probes](https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes)  livenessProbe:    # -- Turn on and off liveness probe    enabled: true    # -- Delay before liveness probe is initiated    initialDelaySeconds: "30"    # -- How often to perform the probe    periodSeconds: "30"    # -- When the probe times out    timeoutSeconds: "5"    # -- Minimum consecutive failures for the probe    failureThreshold: "3"    # -- Minimum consecutive successes for the probe    successThreshold: "1"  # -- Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails.  # More info: [container-probes](https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes)  readinessProbe:    # -- Turn on and off readiness probe    enabled: true    # -- Delay before readiness probe is initiated    initialDelaySeconds: "30"    # -- How often to perform the probe    periodSeconds: "30"    # -- When the probe times out    timeoutSeconds: "5"    # -- Minimum consecutive failures for the probe    failureThreshold: "3"    # -- Minimum consecutive successes for the probe    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:    # -- Set `master.persistentVolumeClaim.enabled` to `true` to mount a new volume for `master`    enabled: false    # -- `PersistentVolumeClaim` access modes    accessModes:    - "ReadWriteOnce"    # -- `Master` logs data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning    storageClassName: "-"    # -- `PersistentVolumeClaim` size    storage: "20Gi"  env:    # -- The jvm options for master server    JAVA_OPTS: "-Xms1g -Xmx1g -Xmn512m"    # -- Master execute thread number to limit process instances    MASTER_EXEC_THREADS: "100"    # -- Master execute task number in parallel per process instance    MASTER_EXEC_TASK_NUM: "20"    # -- Master dispatch task number per batch    MASTER_DISPATCH_TASK_NUM: "3"    # -- Master host selector to select a suitable worker, optional values include Random, RoundRobin, LowerWeight    MASTER_HOST_SELECTOR: "LowerWeight"    # -- Master max heartbeat interval    MASTER_MAX_HEARTBEAT_INTERVAL: "10s"    # -- Master heartbeat error threshold    MASTER_HEARTBEAT_ERROR_THRESHOLD: "5"    # -- Master commit task retry times    MASTER_TASK_COMMIT_RETRYTIMES: "5"    # -- master commit task interval, the unit is second    MASTER_TASK_COMMIT_INTERVAL: "1s"    # -- master state wheel interval, the unit is second    MASTER_STATE_WHEEL_INTERVAL: "5s"    # -- If set true, will open master overload protection    MASTER_SERVER_LOAD_PROTECTION_ENABLED: false    # -- Master max system cpu usage, when the master's system cpu usage is smaller then this value, master server can execute workflow.    MASTER_SERVER_LOAD_PROTECTION_MAX_SYSTEM_CPU_USAGE_PERCENTAGE_THRESHOLDS: 0.7    # -- Master max jvm cpu usage, when the master's jvm cpu usage is smaller then this value, master server can execute workflow.    MASTER_SERVER_LOAD_PROTECTION_MAX_JVM_CPU_USAGE_PERCENTAGE_THRESHOLDS: 0.7    # -- Master max System memory usage , when the master's system memory usage is smaller then this value, master server can execute workflow.    MASTER_SERVER_LOAD_PROTECTION_MAX_SYSTEM_MEMORY_USAGE_PERCENTAGE_THRESHOLDS: 0.7    # -- Master max disk usage , when the master's disk usage is smaller then this value, master server can execute workflow.    MASTER_SERVER_LOAD_PROTECTION_MAX_DISK_USAGE_PERCENTAGE_THRESHOLDS: 0.7    # -- Master failover interval, the unit is minute    MASTER_FAILOVER_INTERVAL: "10m"    # -- Master kill application when handle failover    MASTER_KILL_APPLICATION_WHEN_HANDLE_FAILOVER: "true"  service:    # -- annotations may need to be set when want to scrapy metrics by prometheus but not install prometheus operator    annotations: {}    # -- serviceMonitor for prometheus operator    serviceMonitor:      # -- Enable or disable master serviceMonitor      enabled: false      # -- serviceMonitor.interval interval at which metrics should be scraped      interval: 15s      # -- serviceMonitor.path path of the metrics endpoint      path: /actuator/prometheus      # -- serviceMonitor.labels ServiceMonitor extra labels      labels: {}      # -- serviceMonitor.annotations ServiceMonitor annotations      annotations: {}
worker:  # -- Enable or disable the Worker component  enabled: true  # -- 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: [node-affinity](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity)  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: [assign-pod-node](https://kubernetes.io/docs/concepts/scheduling-eviction/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.  # More info: [manage-resources-containers](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/)  #resources: {}  resources:    limits:      memory: "4Gi"      cpu: "2"    requests:      memory: "2Gi"      cpu: "500m"
  # -- Periodic probe of container liveness. Container will be restarted if the probe fails.  # More info: [container-probes](https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes)  # -- enable configure custom config  enableCustomizedConfig: false  # -- configure aligned with https://github.com/apache/dolphinscheduler/blob/dev/dolphinscheduler-worker/src/main/resources/application.yaml  customizedConfig: { }#  customizedConfig:#    application.yaml: |#      banner:#        charset: UTF-8#      jackson:#        time-zone: UTC#        date-format: "yyyy-MM-dd HH:mm:ss"  livenessProbe:    # -- Turn on and off liveness probe    enabled: true    # -- Delay before liveness probe is initiated    initialDelaySeconds: "30"    # -- How often to perform the probe    periodSeconds: "30"    # -- When the probe times out    timeoutSeconds: "5"    # -- Minimum consecutive failures for the probe    failureThreshold: "3"    # -- Minimum consecutive successes for the probe    successThreshold: "1"  # -- Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails.  # More info: [container-probes](https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes)  readinessProbe:    # -- Turn on and off readiness probe    enabled: true    # -- Delay before readiness probe is initiated    initialDelaySeconds: "30"    # -- How often to perform the probe    periodSeconds: "30"    # -- When the probe times out    timeoutSeconds: "5"    # -- Minimum consecutive failures for the probe    failureThreshold: "3"    # -- Minimum consecutive successes for the probe    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:    # -- Set `worker.persistentVolumeClaim.enabled` to `true` to enable `persistentVolumeClaim` for `worker`    enabled: false    ## dolphinscheduler data volume    dataPersistentVolume:      # -- Set `worker.persistentVolumeClaim.dataPersistentVolume.enabled` to `true` to mount a data volume for `worker`      enabled: false      # -- `PersistentVolumeClaim` access modes      accessModes:      - "ReadWriteOnce"      # -- `Worker` data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning      storageClassName: "nfs-storage"      # -- `PersistentVolumeClaim` size      storage: "20Gi"    ## dolphinscheduler logs volume    logsPersistentVolume:      # -- Set `worker.persistentVolumeClaim.logsPersistentVolume.enabled` to `true` to mount a logs volume for `worker`      enabled: false      # -- `PersistentVolumeClaim` access modes      accessModes:      - "ReadWriteOnce"      # -- `Worker` logs data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning      storageClassName: "-"      # -- `PersistentVolumeClaim` size      storage: "20Gi"  env:    # -- If set true, will open worker overload protection    WORKER_SERVER_LOAD_PROTECTION_ENABLED: false    # -- Worker max system cpu usage, when the worker's system cpu usage is smaller then this value, worker server can be dispatched tasks.    WORKER_SERVER_LOAD_PROTECTION_MAX_SYSTEM_CPU_USAGE_PERCENTAGE_THRESHOLDS: 0.7    # -- Worker max jvm cpu usage, when the worker's jvm cpu usage is smaller then this value, worker server can be dispatched tasks.    WORKER_SERVER_LOAD_PROTECTION_MAX_JVM_CPU_USAGE_PERCENTAGE_THRESHOLDS: 0.7    # -- Worker max memory usage , when the worker's memory usage is smaller then this value, worker server can be dispatched tasks.    WORKER_SERVER_LOAD_PROTECTION_MAX_SYSTEM_MEMORY_USAGE_PERCENTAGE_THRESHOLDS: 0.7    # -- Worker max disk usage , when the worker's disk usage is smaller then this value, worker server can be dispatched tasks.    WORKER_SERVER_LOAD_PROTECTION_MAX_DISK_USAGE_PERCENTAGE_THRESHOLDS: 0.7    # -- Worker execute thread number to limit task instances    WORKER_EXEC_THREADS: "100"    # -- Worker heartbeat interval    WORKER_MAX_HEARTBEAT_INTERVAL: "10s"    # -- Worker host weight to dispatch tasks    WORKER_HOST_WEIGHT: "100"    # -- tenant corresponds to the user of the system, which is used by the worker to submit the job. If system does not have this user, it will be automatically created after the parameter worker.tenant.auto.create is true.    WORKER_TENANT_CONFIG_AUTO_CREATE_TENANT_ENABLED: true    # -- Scenes to be used for distributed users. For example, users created by FreeIpa are stored in LDAP. This parameter only applies to Linux, When this parameter is true, worker.tenant.auto.create has no effect and will not automatically create tenants.    WORKER_TENANT_CONFIG_DISTRIBUTED_TENANT: false    # -- If set true, will use worker bootstrap user as the tenant to execute task when the tenant is `default`;    DEFAULT_TENANT_ENABLED: false
  keda:    # -- Enable or disable the Keda component    enabled: false    # -- Keda namespace labels    namespaceLabels: { }
    # -- How often KEDA polls the DolphinScheduler DB to report new scale requests to the HPA    pollingInterval: 5
    # -- How many seconds KEDA will wait before scaling to zero.    # Note that HPA has a separate cooldown period for scale-downs    cooldownPeriod: 30
    # -- Minimum number of workers created by keda    minReplicaCount: 0
    # -- Maximum number of workers created by keda    maxReplicaCount: 3
    # -- Specify HPA related options    advanced: { }    # horizontalPodAutoscalerConfig:    #   behavior:    #     scaleDown:    #       stabilizationWindowSeconds: 300    #       policies:    #         - type: Percent    #           value: 100    #           periodSeconds: 15  service:    # -- annotations may need to be set when want to scrapy metrics by prometheus but not install prometheus operator    annotations: {}    # -- serviceMonitor for prometheus operator    serviceMonitor:      # -- Enable or disable worker serviceMonitor      enabled: false      # -- serviceMonitor.interval interval at which metrics should be scraped      interval: 15s      # -- serviceMonitor.path path of the metrics endpoint      path: /actuator/prometheus      # -- serviceMonitor.labels ServiceMonitor extra labels      labels: {}      # -- serviceMonitor.annotations ServiceMonitor annotations      annotations: {}

alert:  # -- Enable or disable the Alert-Server component  enabled: true  # -- 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 of deployment. Can be "Recreate" or "RollingUpdate"    type: "RollingUpdate"    rollingUpdate:      # -- The maximum number of pods that can be scheduled above the desired number of pods      maxSurge: "25%"      # -- The maximum number of pods that can be unavailable during the update      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: {}  # -- Affinity is a group of affinity scheduling rules. If specified, the pod's scheduling constraints.  # More info: [node-affinity](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity)  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: [assign-pod-node](https://kubernetes.io/docs/concepts/scheduling-eviction/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.  # More info: [manage-resources-containers](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/)  #resources: {}  resources:    limits:      memory: "2Gi"      cpu: "1"    requests:      memory: "1Gi"      cpu: "500m"  # -- enable configure custom config  enableCustomizedConfig: false  # -- configure aligned with https://github.com/apache/dolphinscheduler/blob/dev/dolphinscheduler-alert/dolphinscheduler-alert-server/src/main/resources/application.yaml  customizedConfig: { }  #  customizedConfig:  #    application.yaml: |  #      profiles:  #        active: postgresql  #      banner:  #        charset: UTF-8  #      jackson:  #        time-zone: UTC  #        date-format: "yyyy-MM-dd HH:mm:ss"  # -- Periodic probe of container liveness. Container will be restarted if the probe fails.  # More info: [container-probes](https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes)  livenessProbe:    # -- Turn on and off liveness probe    enabled: true    # -- Delay before liveness probe is initiated    initialDelaySeconds: "30"    # -- How often to perform the probe    periodSeconds: "30"    # -- When the probe times out    timeoutSeconds: "5"    # -- Minimum consecutive failures for the probe    failureThreshold: "3"    # -- Minimum consecutive successes for the probe    successThreshold: "1"  # -- Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails.  # More info: [container-probes](https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes)  readinessProbe:    # -- Turn on and off readiness probe    enabled: true    # -- Delay before readiness probe is initiated    initialDelaySeconds: "30"    # -- How often to perform the probe    periodSeconds: "30"    # -- When the probe times out    timeoutSeconds: "5"    # -- Minimum consecutive failures for the probe    failureThreshold: "3"    # -- Minimum consecutive successes for the probe    successThreshold: "1"  # -- PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace.  # More info: [persistentvolumeclaims](https://kubernetes.io/docs/concepts/storage/persistent-volumes/#persistentvolumeclaims)  persistentVolumeClaim:    # -- Set `alert.persistentVolumeClaim.enabled` to `true` to mount a new volume for `alert`    enabled: false    # -- `PersistentVolumeClaim` access modes    accessModes:    - "ReadWriteOnce"    # -- `Alert` logs data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning    storageClassName: "-"    # -- `PersistentVolumeClaim` size    storage: "20Gi"  env:    # -- The jvm options for alert server    JAVA_OPTS: "-Xms512m -Xmx512m -Xmn256m"  service:    # -- annotations may need to be set when want to scrapy metrics by prometheus but not install prometheus operator    annotations: {}    # -- serviceMonitor for prometheus operator    serviceMonitor:      # -- Enable or disable alert-server serviceMonitor      enabled: false      # -- serviceMonitor.interval interval at which metrics should be scraped      interval: 15s      # -- serviceMonitor.path path of the metrics endpoint      path: /actuator/prometheus      # -- serviceMonitor.labels ServiceMonitor extra labels      labels: {}      # -- serviceMonitor.annotations ServiceMonitor annotations      annotations: {}

api:  # -- Enable or disable the API-Server component  enabled: true  # -- 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 of deployment. Can be "Recreate" or "RollingUpdate"    type: "RollingUpdate"    rollingUpdate:      # -- The maximum number of pods that can be scheduled above the desired number of pods      maxSurge: "25%"      # -- The maximum number of pods that can be unavailable during the update      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: {}  # -- Affinity is a group of affinity scheduling rules. If specified, the pod's scheduling constraints.  # More info: [node-affinity](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity)  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: [assign-pod-node](https://kubernetes.io/docs/concepts/scheduling-eviction/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.  # More info: [manage-resources-containers](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/)  #resources: {}  resources:    limits:      memory: "2Gi"      cpu: "4"    requests:      memory: "1Gi"      cpu: "500m"  # -- enable configure custom config  enableCustomizedConfig: false  # -- configure aligned with https://github.com/apache/dolphinscheduler/blob/dev/dolphinscheduler-api/src/main/resources/application.yaml  customizedConfig: { }  #  customizedConfig:  #    application.yaml: |  #      profiles:  #        active: postgresql  #      banner:  #        charset: UTF-8  #      jackson:  #        time-zone: UTC  #        date-format: "yyyy-MM-dd HH:mm:ss"  # -- Periodic probe of container liveness. Container will be restarted if the probe fails.  # More info: [container-probes](https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes)  livenessProbe:    # -- Turn on and off liveness probe    enabled: true    # -- Delay before liveness probe is initiated    initialDelaySeconds: "30"    # -- How often to perform the probe    periodSeconds: "30"    # -- When the probe times out    timeoutSeconds: "5"    # -- Minimum consecutive failures for the probe    failureThreshold: "3"    # -- Minimum consecutive successes for the probe    successThreshold: "1"  # -- Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails.  # More info: [container-probes](https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes)  readinessProbe:    # -- Turn on and off readiness probe    enabled: true    # -- Delay before readiness probe is initiated    initialDelaySeconds: "30"    # -- How often to perform the probe    periodSeconds: "30"    # -- When the probe times out    timeoutSeconds: "5"    # -- Minimum consecutive failures for the probe    failureThreshold: "3"    # -- Minimum consecutive successes for the probe    successThreshold: "1"  # -- PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace.  # More info: [persistentvolumeclaims](https://kubernetes.io/docs/concepts/storage/persistent-volumes/#persistentvolumeclaims)  persistentVolumeClaim:    # -- Set `api.persistentVolumeClaim.enabled` to `true` to mount a new volume for `api`    enabled: false    # -- `PersistentVolumeClaim` access modes    accessModes:    - "ReadWriteOnce"    # -- `api` logs data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning    storageClassName: "-"    # -- `PersistentVolumeClaim` size    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 api service is exposed when type=NodePort    nodePort: ""    # -- pythonNodePort is the port on each node on which this python api service is exposed when type=NodePort    pythonNodePort: ""    # -- 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: {}    # -- serviceMonitor for prometheus operator    serviceMonitor:      # -- Enable or disable api-server serviceMonitor      enabled: false      # -- serviceMonitor.interval interval at which metrics should be scraped      interval: 15s      # -- serviceMonitor.path path of the metrics endpoint      path: /dolphinscheduler/actuator/prometheus      # -- serviceMonitor.labels ServiceMonitor extra labels      labels: {}      # -- serviceMonitor.annotations ServiceMonitor annotations      annotations: {}  env:    # -- The jvm options for api server    JAVA_OPTS: "-Xms512m -Xmx512m -Xmn256m"  taskTypeFilter:    # -- Enable or disable the task type filter.    # If set to true, the API-Server will return tasks of a specific type set in api.taskTypeFilter.task    # Note: This feature only filters tasks to return a specific type on the WebUI. However, you can still create any task that DolphinScheduler supports via the API.    enabled: false    # -- taskTypeFilter.taskType task type    # -- ref: [task-type-config.yaml](https://github.com/apache/dolphinscheduler/blob/dev/dolphinscheduler-api/src/main/resources/task-type-config.yaml)    task: {}    #  example task sets    #  universal:    #    - 'SQL'    #  cloud: []    #  logic: []    #  dataIntegration: []    #  dataQuality: []    #  machineLearning: []    #  other: []

ingress:  # -- Enable ingress  enabled: true  # -- Ingress host  host: "dolphinscheduler.tyzwkj.cn"  # -- Ingress path  path: "/dolphinscheduler"  # -- Ingress annotations  annotations: {}  tls:    # -- Enable ingress tls    enabled: false    # -- Ingress tls secret name    secretName: "dolphinscheduler-tls"

[root@master dolphinscheduler]# helm template dolphinscheduler -f values.yaml ./

[root@master dolphinscheduler]# kubectl create namespace dolphinscheduler[root@master dolphinscheduler]# helm -n dolphinscheduler  install dolphinscheduler -f values.yaml  ./

[root@master dolphinscheduler]# kubectl get all -n dolphinscheduler