分布式调度框架。
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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
# 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.
#
{{- 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:
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
# Override by profile
---
spring:
config:
activate:
on-profile: mysql
datasource:
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://127.0.0.1:3306/dolphinscheduler
username: root
password: root
quartz:
properties:
org.quartz.jobStore.driverDelegateClass: org.quartz.impl.jdbcjobstore.StdJDBCDelegate
{{- end }}