application.yaml

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# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
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#     http://www.apache.org/licenses/LICENSE-2.0
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spring:
  profiles:
    active: h2
  jackson:
    time-zone: UTC
    date-format: "yyyy-MM-dd HH:mm:ss"
  banner:
    charset: UTF-8
    location: classpath:standalone-banner.txt
  sql:
    init:
      schema-locations: classpath:sql/dolphinscheduler_h2.sql
  datasource:
      driver-class-name: org.h2.Driver
      url: jdbc:h2:mem:dolphinscheduler;MODE=MySQL;DB_CLOSE_DELAY=-1;DATABASE_TO_LOWER=true
      username: sa
      password: ""
  quartz:
    job-store-type: jdbc
    jdbc:
      initialize-schema: never
    properties:
      org.quartz.threadPool.threadPriority: 5
      org.quartz.jobStore.isClustered: true
      org.quartz.jobStore.class: org.springframework.scheduling.quartz.LocalDataSourceJobStore
      org.quartz.scheduler.instanceId: AUTO
      org.quartz.jobStore.tablePrefix: QRTZ_
      org.quartz.jobStore.acquireTriggersWithinLock: true
      org.quartz.scheduler.instanceName: DolphinScheduler
      org.quartz.threadPool.class: org.quartz.simpl.SimpleThreadPool
      org.quartz.jobStore.useProperties: false
      org.quartz.threadPool.makeThreadsDaemons: true
      org.quartz.threadPool.threadCount: 25
      org.quartz.jobStore.misfireThreshold: 60000
      org.quartz.scheduler.makeSchedulerThreadDaemon: true
      org.quartz.jobStore.driverDelegateClass: org.quartz.impl.jdbcjobstore.StdJDBCDelegate
      org.quartz.jobStore.clusterCheckinInterval: 5000
      org.quartz.scheduler.batchTriggerAcquisitionMaxCount: 25
  servlet:
    multipart:
      max-file-size: 1024MB
      max-request-size: 1024MB
  messages:
    basename: i18n/messages
  jpa:
    hibernate:
      ddl-auto: none
  mvc:
    pathmatch:
      matching-strategy: ANT_PATH_MATCHER
  cloud.discovery.client.composite-indicator.enabled: false

mybatis-plus:
  mapper-locations: classpath:org/apache/dolphinscheduler/dao/mapper/*Mapper.xml
  type-aliases-package: org.apache.dolphinscheduler.dao.entity
  configuration:
    cache-enabled: false
    call-setters-on-nulls: true
    map-underscore-to-camel-case: true
    jdbc-type-for-null: NULL
  global-config:
    db-config:
      id-type: auto
    banner: false

registry:
  type: jdbc

security:
  authentication:
    # Authentication types (supported types: PASSWORD,LDAP,CASDOOR_SSO)
    type: LDAP
    # IF you set type `LDAP`, below config will be effective
    ldap:
      # ldap server config
      url: ldap://openldap:1389/
      base-dn: ou=users,dc=example,dc=org
      username: cn=admin,dc=example,dc=org
      password: adminpassword
      user:
        # admin username when you use LDAP login
        admin-username: admin_user01
        admin-user-filter: (&(cn={0})(sn=Bar3))
        identity-attribute: cn
        email-attribute: uid
        # action when ldap user is not exist (supported types: CREATE,DENY)
        not-exist-action: CREATE
      ssl:
        enable: false
        # jks file absolute path && password
        trust-store: "/ldapkeystore.jks"
        trust-store-password: ""
    casdoor:
      user:
        admin: admin
    oauth2:
      enable: false
      provider:
        github:
          authorizationUri: "https://github.com/login/oauth/authorize"
          redirectUri: "http://localhost:12345/dolphinscheduler/redirect/login/oauth2"
          clientId: ""
          clientSecret: ""
          tokenUri: "https://github.com/login/oauth/access_token"
          userInfoUri: "https://api.github.com/user"
          callbackUrl: "http://localhost:5173/login"
          iconUri: ""
          provider: github
        gitee:
          authorizationUri: "https://gitee.com/oauth/authorize"
          redirectUri: "http://127.0.0.1:12345/dolphinscheduler/redirect/login/oauth2"
          clientId: ""
          clientSecret: ""
          tokenUri: "https://gitee.com/oauth/token?grant_type=authorization_code"
          userInfoUri: "https://gitee.com/api/v5/user"
          callbackUrl: "http://127.0.0.1:5173/login"
          iconUri: ""
          provider: gitee

casdoor:
  # Your Casdoor server url
  endpoint: http://localhost:8000
  client-id: ""
  client-secret: ""
  # The certificate may be multi-line, you can use `|-` for ease
  certificate: ""
  # Your organization name added in Casdoor
  organization-name: built-in
  # Your application name added in Casdoor
  application-name: dolphinscheduler
  # Doplhinscheduler login url
  redirect-url: http://localhost:5173/login



master:
  listen-port: 5678
  # master heartbeat interval
  max-heartbeat-interval: 10s
  server-load-protection:
    enabled: true
    # Master max system cpu usage, when the master's system cpu usage is smaller then this value, master server can execute workflow.
    max-system-cpu-usage-percentage-thresholds: 1
    # Master max jvm cpu usage, when the master's jvm cpu usage is smaller then this value, master server can execute workflow.
    max-jvm-cpu-usage-percentage-thresholds: 0.9
    # Master max System memory usage , when the master's system memory usage is smaller then this value, master server can execute workflow.
    max-system-memory-usage-percentage-thresholds: 0.9
    # Master max disk usage , when the master's disk usage is smaller then this value, master server can execute workflow.
    max-disk-usage-percentage-thresholds: 0.9
  worker-load-balancer-configuration-properties:
    # RANDOM, ROUND_ROBIN, FIXED_WEIGHTED_ROUND_ROBIN, DYNAMIC_WEIGHTED_ROUND_ROBIN
    type: DYNAMIC_WEIGHTED_ROUND_ROBIN
    # dynamic-weight-config-properties only used in DYNAMIC_WEIGHTED_ROUND_ROBIN, the weight of memory-usage, cpu-usage, task-thread-pool-usage should sum to 100.
    dynamic-weight-config-properties:
      memory-usage-weight: 30
      cpu-usage-weight: 30
      task-thread-pool-usage-weight: 40
  worker-group-refresh-interval: 10s
  command-fetch-strategy:
    type: ID_SLOT_BASED
    config:
      # The incremental id step
      id-step: 1
      # master fetch command num
      fetch-size: 10

worker:
  # worker listener port
  listen-port: 1234
  # worker execute thread number to limit task instances in parallel
  exec-threads: 10
  # worker heartbeat interval
  max-heartbeat-interval: 10s
  # worker host weight to dispatch tasks, default value 100
  host-weight: 100
  # worker group name
  group: default
  server-load-protection:
    enabled: true
    # Worker max system cpu usage, when the worker's system cpu usage is smaller then this value, worker server can be dispatched tasks.
    max-system-cpu-usage-percentage-thresholds: 1
    # Worker max jvm cpu usage, when the worker's jvm cpu usage is smaller then this value, worker server can be dispatched tasks.
    max-jvm-cpu-usage-percentage-thresholds: 0.9
    # Worker max System memory usage , when the worker's system memory usage is smaller then this value, worker server can be dispatched tasks.
    max-system-memory-usage-percentage-thresholds: 0.9
    # Worker max disk usage , when the worker's disk usage is smaller then this value, worker server can be dispatched tasks.
    # Deprecated: Use max-disk-usage-percentage-thresholds-rules instead
    max-disk-usage-percentage-thresholds: 0.9
    max-disk-usage-percentage-thresholds-rules: []
  task-execute-threads-full-policy: REJECT
  tenant-config:
    # 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.
    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.
    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: true

alert:
  port: 50052
  # Mark each alert of alert server if late after x milliseconds as failed.
  # Define value is (0 = infinite), and alert server would be waiting alert result.
  wait-timeout: 0
  max-heartbeat-interval: 60s
  # The maximum number of alerts that can be processed in parallel
  sender-parallelism: 5

api:
  audit-enable: false
  # Traffic control, if you turn on this config, the maximum number of request/s will be limited.
  # global max request number per second
  # default tenant-level max request number
  traffic-control:
    global-switch: false
    max-global-qps-rate: 300
    tenant-switch: false
    default-tenant-qps-rate: 10
      #customize-tenant-qps-rate:
    # eg.
    #tenant1: 11
    #tenant2: 20
  python-gateway:
    # Weather enable python gateway server or not. The default value is true.
    enabled: true
    # Authentication token for connection from python api to python gateway server. Should be changed the default value
    # when you deploy in public network.
    auth-token: jwUDzpLsNKEFER4*a8gruBH_GsAurNxU7A@Xc
    # The address of Python gateway server start. Set its value to `0.0.0.0` if your Python API run in different
    # between Python gateway server. It could be be specific to other address like `127.0.0.1` or `localhost`
    gateway-server-address: 0.0.0.0
    # The port of Python gateway server start. Define which port you could connect to Python gateway server from
    # Python API side.
    gateway-server-port: 25333
    # The address of Python callback client.
    python-address: 127.0.0.1
    # The port of Python callback client.
    python-port: 25334
    # Close connection of socket server if no other request accept after x milliseconds. Define value is (0 = infinite),
    # and socket server would never close even though no requests accept
    connect-timeout: 0
    # Close each active connection of socket server if python program not active after x milliseconds. Define value is
    # (0 = infinite), and socket server would never close even though no requests accept
    read-timeout: 0

server:
  port: 12345
  servlet:
    session:
      timeout: 120m
    context-path: /dolphinscheduler/
  compression:
    enabled: true
    mime-types: text/html,text/xml,text/plain,text/css,text/javascript,application/javascript,application/json,application/xml
  jetty:
    max-http-form-post-size: 5000000
    accesslog:
      enabled: true
      custom-format: '%{client}a - %u %t "%r" %s %O %{ms}Tms'

management:
  endpoints:
    web:
      exposure:
        include: health,metrics,prometheus
  endpoint:
    health:
      enabled: true
      show-details: always
  health:
    db:
      enabled: true
    defaults:
      enabled: false
  metrics:
    tags:
      application: ${spring.application.name}

# Override by profile
---
spring:
  config:
    activate:
      on-profile: postgresql
  quartz:
    properties:
      org.quartz.jobStore.driverDelegateClass: org.quartz.impl.jdbcjobstore.PostgreSQLDelegate
  datasource:
    driver-class-name: org.postgresql.Driver
    url: jdbc:postgresql://127.0.0.1:5432/dolphinscheduler
    username: root
    password: root

---
spring:
  config:
    activate:
      on-profile: mysql
  sql:
     init:
       schema-locations: classpath:sql/dolphinscheduler_mysql.sql
  datasource:
    driver-class-name: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql://127.0.0.1:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8
    username: root
    password: root