netflix conductor 学习（一）docker-compose 运行

为了方便学习以及使用netflix conductor 基于官方的dockerfile，构建了server 以及ui 的容器镜像并push dockerhub

环境准备

• 官方docker-compose文件

  需要基于容器的构建很慢

version: '2.3'

services:

  conductor-server:

    environment:

      - CONFIG_PROP=config.properties

    image: conductor:server

    build:

      context: ../

      dockerfile: docker/server/Dockerfile

    networks:

      - internal

    ports:

      - 8080:8080

    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"

​

  conductor-ui:

    environment:

      - WF_SERVER=http://conductor-server:8080/api/

    image: conductor:ui

    build:

      context: ../

      dockerfile: docker/ui/Dockerfile

    networks:

      - internal

    ports:

      - 5000:5000

    links:

      - conductor-server

​

  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"

​

  # https://www.elastic.co/guide/en/elasticsearch/reference/5.6/docker.html

  elasticsearch:

    image: docker.elastic.co/elasticsearch/elasticsearch:5.6.8

    environment:

      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"

      - 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:

• 构建push dockerhub && 修改的docker-compose 文件

version: '3'

services:

  conductor-server:

    environment:

      - CONFIG_PROP=config.properties

    image: dalongrong/conductor:server

    volumes: 

    - "./config.properties:/app/config/config.properties"

    networks:

      - internal

    ports:

      - 8080:8080

  conductor-ui:

    environment:

      - WF_SERVER=http://conductor-server:8080/api/

    image: dalongrong/conductor:ui

    networks:

      - internal

    ports:

      - 5000:5000

  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

​

  # https://www.elastic.co/guide/en/elasticsearch/reference/5.6/docker.html

  elasticsearch:

    image: elasticsearch:5.6.8

    environment:

      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"

      - transport.host=0.0.0.0

      - discovery.type=single-node

      - xpack.security.enabled=false

    networks:

      - internal

    ports:

      - 9200:9200

      - 9300:9300

networks:

  internal:

• 配置修改
  为了测试使用的memery 模式

启动&&效果

• 启动

 

docker-compose up -d

• 效果

es

ui

swagger api

workflow 图形

说明

以上只是简单的基本环境运行，后边会详细学习task 以及workflow 的定义以及使用

参考资料

https://netflix.github.io/conductor
https://github.com/Netflix/conductor/blob/master/docker/docker-compose.yaml
https://github.com/rongfengliang/netflix-conductor-docker-compose