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1008 lines
45 KiB
1008 lines
45 KiB
# |
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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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# -- World time and date for cities in all time zones |
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timezone: "Asia/Shanghai" |
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# -- Used to detect whether dolphinscheduler dependent services such as database are ready |
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initImage: |
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# -- Image pull policy. Options: Always, Never, IfNotPresent |
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pullPolicy: "IfNotPresent" |
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# -- Specify initImage repository |
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busybox: "busybox:1.30.1" |
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image: |
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# -- Docker image repository for the DolphinScheduler |
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registry: apache |
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# -- Docker image version for the DolphinScheduler |
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tag: latest |
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# -- Image pull policy. Options: Always, Never, IfNotPresent |
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pullPolicy: "IfNotPresent" |
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# -- Specify a imagePullSecrets |
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pullSecret: "" |
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# -- master image |
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master: dolphinscheduler-master |
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# -- worker image |
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worker: dolphinscheduler-worker |
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# -- api-server image |
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api: dolphinscheduler-api |
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# -- alert-server image |
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alert: dolphinscheduler-alert-server |
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# -- tools image |
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tools: dolphinscheduler-tools |
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datasource: |
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# -- The profile of datasource |
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profile: postgresql |
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postgresql: |
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# -- If not exists external PostgreSQL, by default, the DolphinScheduler will use a internal PostgreSQL |
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enabled: true |
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# -- The username for internal PostgreSQL |
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postgresqlUsername: "root" |
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# -- The password for internal PostgreSQL |
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postgresqlPassword: "root" |
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# -- The database for internal PostgreSQL |
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postgresqlDatabase: "dolphinscheduler" |
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# -- The driverClassName for internal PostgreSQL |
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driverClassName: "org.postgresql.Driver" |
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# -- The params for internal PostgreSQL |
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params: "characterEncoding=utf8" |
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persistence: |
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# -- Set postgresql.persistence.enabled to true to mount a new volume for internal PostgreSQL |
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enabled: false |
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# -- `PersistentVolumeClaim` size |
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size: "20Gi" |
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# -- PostgreSQL data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning |
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storageClass: "-" |
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mysql: |
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# -- If not exists external MySQL, by default, the DolphinScheduler will use a internal MySQL |
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enabled: false |
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# -- mysql driverClassName |
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driverClassName: "com.mysql.cj.jdbc.Driver" |
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auth: |
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# -- mysql username |
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username: "ds" |
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# -- mysql password |
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password: "ds" |
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# -- mysql database |
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database: "dolphinscheduler" |
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# -- mysql params |
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params: "characterEncoding=utf8" |
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primary: |
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persistence: |
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# -- Set mysql.primary.persistence.enabled to true to mount a new volume for internal MySQL |
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enabled: false |
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# -- `PersistentVolumeClaim` size |
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size: "20Gi" |
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# -- MySQL data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning |
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storageClass: "-" |
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minio: |
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# -- Deploy minio and configure it as the default storage for DolphinScheduler, note this is for demo only, not for production. |
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enabled: true |
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auth: |
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# -- minio username |
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rootUser: minioadmin |
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# -- minio password |
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rootPassword: minioadmin |
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persistence: |
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# -- Set minio.persistence.enabled to true to mount a new volume for internal minio |
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enabled: false |
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# -- minio default buckets |
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defaultBuckets: "dolphinscheduler" |
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externalDatabase: |
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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 internal database will be used. |
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enabled: false |
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# -- The type of external database, supported types: postgresql, mysql |
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type: "postgresql" |
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# -- The host of external database |
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host: "localhost" |
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# -- The port of external database |
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port: "5432" |
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# -- The username of external database |
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username: "root" |
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# -- The password of external database |
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password: "root" |
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# -- The database of external database |
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database: "dolphinscheduler" |
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# -- The params of external database |
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params: "characterEncoding=utf8" |
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# -- The driverClassName of external database |
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driverClassName: "org.postgresql.Driver" |
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zookeeper: |
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# -- If not exists external registry, the zookeeper registry will be used by default. |
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enabled: true |
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service: |
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# -- The port of zookeeper |
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port: 2181 |
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# -- A list of comma separated Four Letter Words commands to use |
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fourlwCommandsWhitelist: "srvr,ruok,wchs,cons" |
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persistence: |
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# -- Set `zookeeper.persistence.enabled` to true to mount a new volume for internal ZooKeeper |
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enabled: false |
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# -- PersistentVolumeClaim size |
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size: "20Gi" |
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# -- ZooKeeper data persistent volume storage class. If set to "-", storageClassName: "", which disables dynamic provisioning |
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storageClass: "-" |
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registryEtcd: |
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# -- If you want to use Etcd for your registry center, change this value to true. And set zookeeper.enabled to false |
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enabled: false |
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# -- Etcd endpoints |
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endpoints: "" |
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# -- Etcd namespace |
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namespace: "dolphinscheduler" |
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# -- Etcd user |
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user: "" |
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# -- Etcd passWord |
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passWord: "" |
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# -- Etcd authority |
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authority: "" |
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# Please create a new folder: deploy/kubernetes/dolphinscheduler/etcd-certs |
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ssl: |
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# -- 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. |
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enabled: false |
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# -- CertFile file path |
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certFile: "etcd-certs/ca.crt" |
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# -- keyCertChainFile file path |
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keyCertChainFile: "etcd-certs/client.crt" |
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# -- keyFile file path |
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keyFile: "etcd-certs/client.pem" |
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registryJdbc: |
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# -- If you want to use JDbc for your registry center, change this value to true. And set zookeeper.enabled and registryEtcd.enabled to false |
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enabled: false |
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# -- Used to schedule refresh the ephemeral data/ lock |
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termRefreshInterval: 2s |
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# -- Used to calculate the expire time |
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termExpireTimes: 3 |
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hikariConfig: |
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# -- Default use same Dolphinscheduler's database, if you want to use other database please change `enabled` to `true` and change other configs |
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enabled: false |
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# -- 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 |
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driverClassName: com.mysql.cj.jdbc.Driver |
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# -- 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 |
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jdbcurl: jdbc:mysql:// |
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# -- 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 |
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username: "" |
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# -- 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 |
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password: "" |
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## If exists external registry and set zookeeper.enable value to false, the external registry will be used. |
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externalRegistry: |
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# -- If exists external registry and set `zookeeper.enable` && `registryEtcd.enabled` && `registryJdbc.enabled` to false, specify the external registry plugin name |
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registryPluginName: "zookeeper" |
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# -- If exists external registry and set `zookeeper.enable` && `registryEtcd.enabled` && `registryJdbc.enabled` to false, specify the external registry servers |
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registryServers: "127.0.0.1:2181" |
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security: |
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authentication: |
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# -- Authentication types (supported types: PASSWORD,LDAP,CASDOOR_SSO) |
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type: PASSWORD |
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# IF you set type `LDAP`, below config will be effective |
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ldap: |
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# -- LDAP urls |
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urls: ldap://ldap.forumsys.com:389/ |
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# -- LDAP base dn |
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basedn: dc=example,dc=com |
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# -- LDAP username |
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username: cn=read-only-admin,dc=example,dc=com |
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# -- LDAP password |
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password: password |
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user: |
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# -- Admin user account when you log-in with LDAP |
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admin: read-only-admin |
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# -- LDAP user identity attribute |
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identityattribute: uid |
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# -- LDAP user email attribute |
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emailattribute: mail |
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# -- action when ldap user is not exist,default value: CREATE. Optional values include(CREATE,DENY) |
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notexistaction: CREATE |
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ssl: |
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# -- LDAP ssl switch |
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enable: false |
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# -- LDAP jks file absolute path, do not change this value |
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truststore: "/opt/ldapkeystore.jks" |
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# -- LDAP jks file base64 content. |
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# If you use macOS, please run `base64 -b 0 -i /path/to/your.jks`. |
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# If you use Linux, please run `base64 -w 0 /path/to/your.jks`. |
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# If you use Windows, please run `certutil -f -encode /path/to/your.jks`. |
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# Then copy the base64 content to below field in one line |
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jksbase64content: "" |
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# -- LDAP jks password |
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truststorepassword: "" |
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conf: |
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# -- 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 |
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auto: false |
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# common configuration |
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common: |
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# -- user data local directory path, please make sure the directory exists and have read write permissions |
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data.basedir.path: /tmp/dolphinscheduler |
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# -- resource storage type: HDFS, S3, OSS, GCS, ABS, NONE |
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resource.storage.type: S3 |
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# -- 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 |
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resource.storage.upload.base.path: /dolphinscheduler |
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# The AWS credentials provider type. support: AWSStaticCredentialsProvider, InstanceProfileCredentialsProvider |
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# AWSStaticCredentialsProvider: use the access key and secret key to authenticate |
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# InstanceProfileCredentialsProvider: use the IAM role to authenticate |
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aws.credentials.provider.type: AWSStaticCredentialsProvider |
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# -- The AWS access key. if resource.storage.type=S3, and credentials.provider.type is AWSStaticCredentialsProvider. This configuration is required |
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aws.s3.access.key.id: minioadmin |
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# -- The AWS secret access key. if resource.storage.type=S3, and credentials.provider.type is AWSStaticCredentialsProvider. This configuration is required |
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aws.s3.access.key.secret: minioadmin |
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# -- The AWS Region to use. if resource.storage.type=S3, This configuration is required |
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aws.s3.region: ca-central-1 |
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# -- 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. |
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aws.s3.bucket.name: dolphinscheduler |
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# -- 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 |
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aws.s3.endpoint: http://minio:9000 |
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# -- alibaba cloud access key id, required if you set resource.storage.type=OSS |
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resource.alibaba.cloud.access.key.id: <your-access-key-id> |
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# -- alibaba cloud access key secret, required if you set resource.storage.type=OSS |
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resource.alibaba.cloud.access.key.secret: <your-access-key-secret> |
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# -- alibaba cloud region, required if you set resource.storage.type=OSS |
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resource.alibaba.cloud.region: cn-hangzhou |
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# -- oss bucket name, required if you set resource.storage.type=OSS |
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resource.alibaba.cloud.oss.bucket.name: dolphinscheduler |
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# -- oss bucket endpoint, required if you set resource.storage.type=OSS |
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resource.alibaba.cloud.oss.endpoint: https://oss-cn-hangzhou.aliyuncs.com |
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# -- azure storage account name, required if you set resource.storage.type=ABS |
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resource.azure.client.id: minioadmin |
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# -- azure storage account key, required if you set resource.storage.type=ABS |
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resource.azure.client.secret: minioadmin |
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# -- azure storage subId, required if you set resource.storage.type=ABS |
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resource.azure.subId: minioadmin |
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# -- azure storage tenantId, required if you set resource.storage.type=ABS |
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resource.azure.tenant.id: minioadmin |
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# -- if resource.storage.type=HDFS, the user must have the permission to create directories under the HDFS root path |
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resource.hdfs.root.user: hdfs |
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# -- 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 |
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resource.hdfs.fs.defaultFS: hdfs://mycluster:8020 |
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# -- whether to startup kerberos |
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hadoop.security.authentication.startup.state: false |
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# -- java.security.krb5.conf path |
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java.security.krb5.conf.path: /opt/krb5.conf |
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# -- login user from keytab username |
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login.user.keytab.username: hdfs-mycluster@ESZ.COM |
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# -- login user from keytab path |
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login.user.keytab.path: /opt/hdfs.headless.keytab |
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# -- kerberos expire time, the unit is hour |
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kerberos.expire.time: 2 |
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# -- resourcemanager port, the default value is 8088 if not specified |
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resource.manager.httpaddress.port: 8088 |
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# -- if resourcemanager HA is enabled, please set the HA IPs; if resourcemanager is single, keep this value empty |
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yarn.resourcemanager.ha.rm.ids: 192.168.xx.xx,192.168.xx.xx |
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# -- 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 |
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yarn.application.status.address: http://ds1:%s/ws/v1/cluster/apps/%s |
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# -- job history status url when application number threshold is reached(default 10000, maybe it was set to 1000) |
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yarn.job.history.status.address: http://ds1:19888/ws/v1/history/mapreduce/jobs/%s |
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# -- datasource encryption enable |
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datasource.encryption.enable: false |
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# -- datasource encryption salt |
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datasource.encryption.salt: '!@#$%^&*' |
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# -- data quality option |
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data-quality.jar.dir: |
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# -- Whether hive SQL is executed in the same session |
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support.hive.oneSession: false |
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# -- 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 |
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sudo.enable: true |
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# -- development state |
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development.state: false |
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# -- rpc port |
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alert.rpc.port: 50052 |
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# -- set path of conda.sh |
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conda.path: /opt/anaconda3/etc/profile.d/conda.sh |
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# -- Task resource limit state |
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task.resource.limit.state: false |
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# -- mlflow task plugin preset repository |
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ml.mlflow.preset_repository: https://github.com/apache/dolphinscheduler-mlflow |
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# -- mlflow task plugin preset repository version |
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ml.mlflow.preset_repository_version: "main" |
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# -- way to collect applicationId: log, aop |
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appId.collect: log |
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common: |
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## Configmap |
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configmap: |
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# -- The jvm options for dolphinscheduler, suitable for all servers |
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DOLPHINSCHEDULER_OPTS: "" |
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# -- User data directory path, self configuration, please make sure the directory exists and have read write permissions |
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DATA_BASEDIR_PATH: "/tmp/dolphinscheduler" |
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# -- Resource store on HDFS/S3 path, please make sure the directory exists on hdfs and have read write permissions |
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RESOURCE_UPLOAD_PATH: "/dolphinscheduler" |
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# dolphinscheduler env |
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# -- Set `HADOOP_HOME` for DolphinScheduler's task environment |
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HADOOP_HOME: "/opt/soft/hadoop" |
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# -- Set `HADOOP_CONF_DIR` for DolphinScheduler's task environment |
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HADOOP_CONF_DIR: "/opt/soft/hadoop/etc/hadoop" |
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# -- Set `SPARK_HOME` for DolphinScheduler's task environment |
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SPARK_HOME: "/opt/soft/spark" |
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# -- Set `PYTHON_LAUNCHER` for DolphinScheduler's task environment |
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PYTHON_LAUNCHER: "/usr/bin/python/bin/python3" |
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# -- Set `JAVA_HOME` for DolphinScheduler's task environment |
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JAVA_HOME: "/opt/java/openjdk" |
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# -- Set `HIVE_HOME` for DolphinScheduler's task environment |
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HIVE_HOME: "/opt/soft/hive" |
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# -- Set `FLINK_HOME` for DolphinScheduler's task environment |
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FLINK_HOME: "/opt/soft/flink" |
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# -- Set `DATAX_LAUNCHER` for DolphinScheduler's task environment |
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DATAX_LAUNCHER: "/opt/soft/datax/bin/datax.py" |
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## Shared storage persistence mounted into api, master and worker, such as Hadoop, Spark, Flink and DataX binary package |
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sharedStoragePersistence: |
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# -- Set `common.sharedStoragePersistence.enabled` to `true` to mount a shared storage volume for Hadoop, Spark binary and etc |
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enabled: false |
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# -- The mount path for the shared storage volume |
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mountPath: "/opt/soft" |
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# -- `PersistentVolumeClaim` access modes, must be `ReadWriteMany` |
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accessModes: |
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- "ReadWriteMany" |
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# -- Shared Storage persistent volume storage class, must support the access mode: ReadWriteMany |
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storageClassName: "-" |
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# -- `PersistentVolumeClaim` size |
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storage: "20Gi" |
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## If RESOURCE_STORAGE_TYPE is HDFS and FS_DEFAULT_FS is file:///, fsFileResourcePersistence should be enabled for resource storage |
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fsFileResourcePersistence: |
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# -- Set `common.fsFileResourcePersistence.enabled` to `true` to mount a new file resource volume for `api` and `worker` |
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enabled: false |
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# -- `PersistentVolumeClaim` access modes, must be `ReadWriteMany` |
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accessModes: |
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- "ReadWriteMany" |
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# -- Resource persistent volume storage class, must support the access mode: `ReadWriteMany` |
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storageClassName: "-" |
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# -- `PersistentVolumeClaim` size |
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storage: "20Gi" |
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master: |
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# -- Enable or disable the Master component |
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enabled: true |
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# -- PodManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down. |
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podManagementPolicy: "Parallel" |
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# -- Update strategy |
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# ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#update-strategies |
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# |
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updateStrategy: |
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type: RollingUpdate |
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# -- Replicas is the desired number of replicas of the given Template. |
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replicas: "3" |
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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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# -- Affinity is a group of affinity scheduling rules. If specified, the pod's scheduling constraints. |
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# More info: [node-affinity](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity) |
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affinity: {} |
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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: [assign-pod-node](https://kubernetes.io/docs/concepts/scheduling-eviction/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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# -- Compute Resources required by this container. |
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# More info: [manage-resources-containers](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/) |
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resources: {} |
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# resources: |
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# limits: |
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# memory: "8Gi" |
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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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# -- enable configure custom config |
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enableCustomizedConfig: false |
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# -- configure aligned with https://github.com/apache/dolphinscheduler/blob/dev/dolphinscheduler-master/src/main/resources/application.yaml |
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customizedConfig: { } |
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# customizedConfig: |
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# application.yaml: | |
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# profiles: |
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# active: postgresql |
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# banner: |
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# charset: UTF-8 |
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# jackson: |
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# time-zone: UTC |
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# date-format: "yyyy-MM-dd HH:mm:ss" |
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# -- Periodic probe of container liveness. Container will be restarted if the probe fails. |
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# More info: [container-probes](https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes) |
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livenessProbe: |
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# -- Turn on and off liveness probe |
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enabled: true |
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# -- Delay before liveness probe is initiated |
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initialDelaySeconds: "30" |
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# -- How often to perform the probe |
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periodSeconds: "30" |
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# -- When the probe times out |
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timeoutSeconds: "5" |
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# -- Minimum consecutive failures for the probe |
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failureThreshold: "3" |
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# -- Minimum consecutive successes for the probe |
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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. |
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# More info: [container-probes](https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes) |
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readinessProbe: |
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# -- Turn on and off readiness probe |
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enabled: true |
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# -- 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" |
|
# -- Update strategy |
|
# ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#update-strategies |
|
# |
|
updateStrategy: |
|
type: RollingUpdate |
|
# -- 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: "8Gi" |
|
# cpu: "4" |
|
# 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: "-" |
|
# -- `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 |
|
# -- If set true, will use worker bootstrap user as the tenant to execute task when the tenant is `default`; |
|
WORKER_TENANT_CONFIG_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: "1" |
|
# 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 |
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# -- serviceMonitor.path path of the metrics endpoint |
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path: /dolphinscheduler/actuator/prometheus |
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# -- serviceMonitor.labels ServiceMonitor extra labels |
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labels: {} |
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# -- serviceMonitor.annotations ServiceMonitor annotations |
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annotations: {} |
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env: |
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# -- The jvm options for api server |
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JAVA_OPTS: "-Xms512m -Xmx512m -Xmn256m" |
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taskTypeFilter: |
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# -- Enable or disable the task type filter. |
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# If set to true, the API-Server will return tasks of a specific type set in api.taskTypeFilter.task |
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# 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. |
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enabled: false |
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# -- taskTypeFilter.taskType task type |
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# -- ref: [task-type-config.yaml](https://github.com/apache/dolphinscheduler/blob/dev/dolphinscheduler-api/src/main/resources/task-type-config.yaml) |
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task: {} |
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# example task sets |
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# universal: |
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# - 'SQL' |
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# cloud: [] |
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# logic: [] |
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# dataIntegration: [] |
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# dataQuality: [] |
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# machineLearning: [] |
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# other: [] |
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ingress: |
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# -- Enable ingress |
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enabled: false |
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# -- Ingress host |
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host: "dolphinscheduler.org" |
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# -- Ingress path |
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path: "/dolphinscheduler" |
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# -- Ingress annotations |
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annotations: {} |
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tls: |
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# -- Enable ingress tls |
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enabled: false |
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# -- Ingress tls secret name |
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secretName: "dolphinscheduler-tls"
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