docker-compose.yml

version: '3.8'

volumes:
  pinotController1:
  pinotServer1:

services:
  zookeeper:
    image: confluentinc/cp-zookeeper:7.4.0
    hostname: zookeeper
    container_name: zookeeper
    ports:
      - "2181:2181"
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000
    healthcheck:
      test: [ "CMD", "bash", "-c", "echo 'ruok' | nc localhost 2181" ]
      interval: 10s
      timeout: 5s
      retries: 5
  broker:
    image: confluentinc/cp-kafka:7.4.0
    hostname: broker
    container_name: broker
    depends_on:
      zookeeper:
        condition: service_healthy
    ports:
      - "9092:9092"
      - "9101:9101"
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://broker:29092,PLAINTEXT_HOST://localhost:9092
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
      KAFKA_CONFLUENT_LICENSE_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_CONFLUENT_BALANCER_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
      KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
      KAFKA_JMX_PORT: 9101
      KAFKA_JMX_HOSTNAME: localhost
    healthcheck:
      test: [ "CMD", "bash", "-c", 'nc -z localhost 9092' ]
      interval: 10s
      timeout: 5s
      retries: 5

  postgres:
    image: postgres:latest
    container_name: postgres
    ports:
      - "5432:5432"
    environment:
      POSTGRES_USER: postgres
      POSTGRES_PASSWORD: postgres
      POSTGRES_DB: voting
    healthcheck:
      test: [ "CMD", "pg_isready", "-U", "postgres" ]
      interval: 10s
      timeout: 5s
      retries: 5

#  spark-master:
#    image: bitnami/spark:latest
#    command: bin/spark-class org.apache.spark.deploy.master.Master
#    ports:
#      - "9090:8080"
#      - "7077:7077"

#  spark-worker:
#    image: bitnami/spark:latest
#    command: bin/spark-class org.apache.spark.deploy.worker.Worker spark://spark-master:7077
#    depends_on:
#      - spark-master
#    environment:
#      SPARK_MODE: worker
#      SPARK_WORKER_CORES: 2
#      SPARK_WORKER_MEMORY: 1g
#      SPARK_MASTER_URL: spark://spark-master:7077