DolphinScheduler/deploy/kubernetes/dolphinscheduler/templates/configmap-dolphinscheduler-master.yaml

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{{- if and .Values.master.enabled }}
apiVersion: v1
kind: ConfigMap
metadata:
  name: {{ include "dolphinscheduler.fullname" . }}-master
  labels:
    app.kubernetes.io/name: {{ include "dolphinscheduler.fullname" . }}-master
    {{- include "dolphinscheduler.master.labels" . | nindent 4 }}
data:
  application.yaml: |
    spring:
      profiles:
        active: {{ .Values.datasource.profile }}
      banner:
        charset: UTF-8
      jackson:
        time-zone: UTC
        date-format: "yyyy-MM-dd HH:mm:ss"
      datasource:
        profile: postgresql
        config:
          driver-class-name: org.postgresql.Driver
          url: jdbc:postgresql://127.0.0.1:5432/dolphinscheduler
          username: root
          password: root
          hikari:
            connection-test-query: select 1
            pool-name: DolphinScheduler
      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.batchTriggerAcquisitionMaxCount: 1
          org.quartz.scheduler.makeSchedulerThreadDaemon: true
          org.quartz.jobStore.driverDelegateClass: org.quartz.impl.jdbcjobstore.PostgreSQLDelegate
          org.quartz.jobStore.clusterCheckinInterval: 5000
    
    # Mybatis-plus configuration, you don't need to change it
    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: zookeeper
      zookeeper:
        namespace: dolphinscheduler
        connect-string: localhost:2181
        retry-policy:
          base-sleep-time: 60ms
          max-sleep: 300ms
          max-retries: 5
        session-timeout: 30s
        connection-timeout: 9s
        block-until-connected: 600ms
        digest: ~
    
    master:
      listen-port: 5678
      # master fetch command num
      fetch-command-num: 10
      # master prepare execute thread number to limit handle commands in parallel
      pre-exec-threads: 10
      # master execute thread number to limit process instances in parallel
      exec-threads: 100
      # master dispatch task number per batch, if all the tasks dispatch failed in a batch, will sleep 1s.
      dispatch-task-number: 3
      # master host selector to select a suitable worker, default value: LowerWeight. Optional values include random, round_robin, lower_weight
      host-selector: lower_weight
      # master heartbeat interval
      max-heartbeat-interval: 10s
      # master commit task retry times
      task-commit-retry-times: 5
      # master commit task interval
      task-commit-interval: 1s
      state-wheel-interval: 5s
      server-load-protection:
        # If set true, will open master overload 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: 0.7
        # 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: 0.7
        # 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: 0.7
        # 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: 0.7
      # failover interval, the unit is minute
      failover-interval: 10m
      # kill yarn / k8s application when failover taskInstance, default true
      kill-application-when-task-failover: true
      registry-disconnect-strategy:
        # The disconnect strategy: stop, waiting
        strategy: waiting
        # The max waiting time to reconnect to registry if you set the strategy to waiting
        max-waiting-time: 100s
      worker-group-refresh-interval: 10s
    
    server:
      port: 5679
    
    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}
    
    metrics:
      enabled: true
{{- end }}