docker-compose-with-build.yml

version: '3.7'
services:
  zoo1:
    image: zookeeper:3.4.9
    hostname: zoo1
    ports:
      - "2181:2181"
    networks:
      - project
    environment:
        ZOO_MY_ID: 1
        ZOO_PORT: 2181
        ZOO_SERVERS: server.1=zoo1:2888:3888
    volumes:
      - ./volumes/zk-single-kafka-single/zoo1/data:/data
      - ./volumes/zk-single-kafka-single/zoo1/datalog:/datalog

  kafka1:
    image: confluentinc/cp-kafka:5.2.2
    hostname: kafka1
    ports:
      - "9092:9092"
      - "19092:19092"
    networks:
      - project
    environment:
      KAFKA_ADVERTISED_LISTENERS: LISTENER_DOCKER_INTERNAL://kafka1:19092,LISTENER_DOCKER_EXTERNAL://${DOCKER_HOST_IP:-127.0.0.1}:9092
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: LISTENER_DOCKER_INTERNAL:PLAINTEXT,LISTENER_DOCKER_EXTERNAL:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: LISTENER_DOCKER_INTERNAL
      KAFKA_ZOOKEEPER_CONNECT: "zoo1:2181"
      KAFKA_BROKER_ID: 1
      KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO"
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
    volumes:
      - ./volumes/zk-single-kafka-single/kafka1/data:/var/lib/kafka/data
    depends_on:
      - zoo1

  flume1:
    build: ./images/flume
    hostname: flume1
    ports: 
      - "41414:41414"
      - "1234:1234"
    networks:
      - project
    volumes:
      - ./images/flume/flume.conf:/opt/flume/conf/flume.conf
      - ./volumes/flume-output:/logs

  spark-master:
    build: ./images/spark/master
    command: bin/spark-class org.apache.spark.deploy.master.Master -h spark-master
    hostname: spark-master
    environment:
      MASTER: spark://spark-master:7077
      SPARK_CONF_DIR: /conf
      SPARK_PUBLIC_DNS: localhost
    expose:
      - 7001
      - 7002
      - 7003
      - 7004
      - 7005
      - 7077
      - 6066
      - 8080
    ports:
      - 4040:4040
      - 6066:6066
      - 7077:7077
      - 8383:8080
    networks:
      - project
    volumes:
      - ./images/spark/master/target/:/app/
      - ./images/spark/master/cronjobs:/cronjobs
      - ./volumes/spark/conf/master:/conf
      - ./volumes/spark/data:/tmp/data
      - ./volumes/spark/models/:/models
      - ./volumes/flume-output:/logs/flume

  spark-worker:
    build: ./images/spark/worker
    command: bin/spark-class org.apache.spark.deploy.worker.Worker spark://spark-master:7077
    hostname: spark-worker
    environment:
      SPARK_CONF_DIR: /conf
      SPARK_WORKER_CORES: 4
      SPARK_WORKER_MEMORY: 4g
      SPARK_WORKER_PORT: 8881
      SPARK_WORKER_WEBUI_PORT: 8082
      SPARK_PUBLIC_DNS: localhost
    links:
      - spark-master
    expose:
      - 7012
      - 7013
      - 7014
      - 7015
      - 8881
    ports:
      - 8082:8082
    networks:
      - project
    volumes:
      - ./images/spark/master/target/:/app/
      - ./volumes/spark/conf/worker:/conf
      - ./volumes/spark/data:/tmp/data
      - ./volumes/spark/models/:/models
      - ./volumes/flume-output:/logs/flume

  mongo1:
    image: mongo:latest
    hostname: mongo1
    ports:
      - "27017:27017"
    networks:
      - project

  spring-boot1:
    build: ./images/spring-boot/
    hostname: spring-boot1
    ports:
      - "8080:8080"
    networks:
      - project

networks:
  project: