docker-compose.yml

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
    networks:
      - confluent

  broker:
    image: confluentinc/cp-server: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_METRIC_REPORTERS: io.confluent.metrics.reporter.ConfluentMetricsReporter
      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
      KAFKA_CONFLUENT_SCHEMA_REGISTRY_URL: http://schema-registry:8081
      CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS: broker:29092
      CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS: 1
      CONFLUENT_METRICS_ENABLE: 'false'
      CONFLUENT_SUPPORT_CUSTOMER_ID: 'anonymous'
    networks:
      - confluent
    healthcheck:
      test: [ "CMD", "bash", "-c", 'nc -z localhost 9092' ]
      interval: 10s
      timeout: 5s
      retries: 5

  schema-registry:
    image: confluentinc/cp-schema-registry:7.4.0
    hostname: schema-registry
    container_name: schema-registry
    depends_on:
      broker:
        condition: service_healthy
    ports:
      - "8081:8081"
    environment:
      SCHEMA_REGISTRY_HOST_NAME: schema-registry
      SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: 'broker:29092'
      SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081
    networks:
      - confluent
    healthcheck:
      test: [ "CMD", "curl", "-f", "http://localhost:8081/" ]
      interval: 30s
      timeout: 10s
      retries: 5

  control-center:
    image: confluentinc/cp-enterprise-control-center:7.4.0
    hostname: control-center
    container_name: control-center
    depends_on:
      broker:
        condition: service_healthy
      schema-registry:
        condition: service_healthy
    ports:
      - "9021:9021"
    environment:
      CONTROL_CENTER_BOOTSTRAP_SERVERS: 'broker:29092'
      CONTROL_CENTER_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
      CONTROL_CENTER_REPLICATION_FACTOR: 1
      CONTROL_CENTER_INTERNAL_TOPICS_PARTITIONS: 1
      CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_PARTITIONS: 1
      CONFLUENT_METRICS_TOPIC_REPLICATION: 1
      CONFLUENT_METRICS_ENABLE: 'false'
      PORT: 9021
    networks:
      - confluent
  webserver:
    image: apache/airflow:2.6.0-python3.9
    command: webserver
    entrypoint: ["/opt/airflow/script/entrypoint.sh"]
    restart: always
    depends_on:
      - postgres
    environment:
      - LOAD_EX=n
      - EXECUTOR=Sequential
      - AIRFLOW__DATABASE__SQL_ALCHEMY_CONN=postgresql+psycopg2://airflow:airflow@postgres:5432/airflow
      - AIRFLOW__WEBSERVER__SECRET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho=
    logging:
      options:
        max-size: 10m
        max-file: "3"
    volumes:
      - ./dags:/opt/airflow/dags
      - ./script/entrypoint.sh:/opt/airflow/script/entrypoint.sh
    ports:
      - "8080:8080"
    healthcheck:
      test: [ "CMD-SHELL", "[ -f /opt/airflow/airflow-webserver.pid ]" ]
      interval: 30s
      timeout: 30s
      retries: 3
    networks:
      - confluent

  postgres:
    image: postgres:14.0
    environment:
      - POSTGRES_USER=airflow
      - POSTGRES_PASSWORD=airflow
      - POSTGRES_DB=airflow
    logging:
      options:
        max-size: 10m
        max-file: "3"
    networks:
      - confluent

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

  cassandra_db:
    image: cassandra:latest
    container_name: cassandra
    hostname: cassandra
    ports:
      - "9042:9042"
    environment:
      - MAX_HEAP_SIZE=512M
      - HEAP_NEWSIZE=100M
      - CASSANDRA_USERNAME=cassandra
      - CASSANDRA_PASSWORD=cassandra
    volumes:
      - ./:/home
    networks:
      - confluent

  scheduler:
    image: apache/airflow:2.6.0-python3.9
    restart: always
    depends_on:
      webserver:
        condition: service_healthy
    volumes:
      - ./dags:/opt/airflow/dags
      - ./requirements.txt:/opt/airflow/requirements.txt
      - ./script/entrypoint.sh:/opt/airflow/script/entrypoint.sh
    environment:
      - LOAD_EX=n
      - EXECUTOR=Sequential
      - AIRFLOW__DATABASE__SQL_ALCHEMY_CONN=postgresql+psycopg2://airflow:airflow@postgres:5432/airflow
      - AIRFLOW__WEBSERVER__SECRET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho=
    command: bash -c "pip install --no-cache-dir -r ./requirements.txt && airflow db upgrade && airflow scheduler"
    networks:
      - confluent
networks:
  confluent: