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/