zoukankan      html  css  js  c++  java
  • conductor v3 docker-compose 运行

    运行方式与v2 类似,主要更新了docker 镜像

    docker 镜像构建

    目前官方暂时没有提供官方镜像,但是可以自己构建,我们只需要修改image name 同时docker-compose build 就可以了
    构建目录 docker

    参考运行

     
    version: '2.3'
     
    services:
      conductor-server:
        environment:
          - CONFIG_PROP=config.properties
        image: dalongrong/conductor:v3-server
        volumes: 
        - "./config.properties:/app/config/config.properties"
        networks:
          - internal
        ports:
          - 8080:8080
        healthcheck:
          test: ["CMD", "curl","-I" ,"-XGET", "http://localhost:8080/health"]
          interval: 60s
          timeout: 30s
          retries: 12
        links:
          - elasticsearch:es
          - dynomite:dyno1
        depends_on:
          elasticsearch:
            condition: service_healthy
          dynomite:
            condition: service_healthy
        logging:
          driver: "json-file"
          options:
            max-size: "1k"
            max-file: "3"
     
      dynomite:
        image: v1r3n/dynomite
        networks:
          - internal
        ports:
          - 8102:8102
        healthcheck:
          test: timeout 5 bash -c 'cat < /dev/null > /dev/tcp/localhost/8102'
          interval: 5s
          timeout: 5s
          retries: 12
        logging:
          driver: "json-file"
          options:
            max-size: "1k"
            max-file: "3"
     
      conductor-ui:
        environment:
          - WF_SERVER=http://conductor-server:8080/api/
        image: dalongrong/conductor:v3-ui
        networks:
          - internal
        ports:
          - 5000:5000
        links:
          - conductor-server
     
      elasticsearch:
        image: elasticsearch:6.8.15
        environment:
          - "ES_JAVA_OPTS=-Xms512m -Xmx1024m"
          - transport.host=0.0.0.0
          - discovery.type=single-node
          - xpack.security.enabled=false
        networks:
          - internal
        ports:
          - 9200:9200
          - 9300:9300
        healthcheck:
          test: timeout 5 bash -c 'cat < /dev/null > /dev/tcp/localhost/9300'
          interval: 5s
          timeout: 5s
          retries: 12
        logging:
          driver: "json-file"
          options:
            max-size: "1k"
            max-file: "3"
     
    networks:
      internal:

    效果


    说明

    默认的配置是不对的,所以使用了一个自定义的,同时进行数据卷的挂载,具体参考上边的文档

     
    # Servers.
    conductor.grpc-server.enabled=false
     
    # Database persistence type.
    conductor.db.type=dynomite
     
    # Dynomite Cluster details.
    # format is host:port:rack separated by semicolon
    conductor.redis.hosts=dyno1:8102:us-east-1c
     
    # Dynomite cluster name
    conductor.redis.clusterName=dyno1
     
    # Namespace for the keys stored in Dynomite/Redis
    conductor.redis.workflowNamespacePrefix=conductor
     
    # Namespace prefix for the dyno queues
    conductor.redis.queueNamespacePrefix=conductor_queues
     
    # No. of threads allocated to dyno-queues (optional)
    queues.dynomite.threads=10
     
    # By default with dynomite, we want the repairservice enabled
    conductor.app.workflowRepairServiceEnabled=true
     
    # Non-quorum port used to connect to local redis.  Used by dyno-queues.
    # When using redis directly, set this to the same port as redis server
    # For Dynomite, this is 22122 by default or the local redis-server port used by Dynomite.
    conductor.redis.queuesNonQuorumPort=22122
     
    # Elastic search instance indexing is enabled.
    conductor.indexing.enabled=true
     
    # Transport address to elasticsearch 此处是核心
    conductor.elasticsearch.url=http://elasticsearch:9200
     
    # Name of the elasticsearch cluster
    conductor.elasticsearch.indexName=conductor
     
    # Additional modules for metrics collection exposed via logger (optional)
    # conductor.metrics-logger.enabled=true
    # conductor.metrics-logger.reportPeriodSeconds=15
     
    # Additional modules for metrics collection exposed to Prometheus (optional)
    # conductor.metrics-prometheus.enabled=true
    # management.endpoints.web.exposure.include=prometheus
     
    # To enable Workflow/Task Summary Input/Output JSON Serialization, use the following:
    # conductor.app.summary-input-output-json-serialization.enabled=true
     
    # Load sample kitchen sink workflow
    loadSample=true

    参考资料

    https://github.com/Netflix/conductor
    https://netflix.github.io/conductor/

  • 相关阅读:
    Chrome调试工具常用功能
    把读取sql的结果写入到excel文件
    Android逆向破解:Android Killer使用
    鸭子类型和猴子补丁
    Scrapy同时启动多个爬虫
    命令注入
    理解RESTful架构
    程序员需要谨记的九大安全编码规则
    10条建议分享:帮助你成为与硅谷工程师一样优秀的程序员
    代码审计:是安全专家都应该掌握的技能
  • 原文地址:https://www.cnblogs.com/rongfengliang/p/14974788.html
Copyright © 2011-2022 走看看