docker-compose.yml

---
version: '2.3'
services:
  zookeeper:
    container_name: workshop-zookeeper
    image: confluentinc/cp-zookeeper:latest
    cpus: 0.5
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000

  kafka:
    container_name: workshop-kafka
    image: confluentinc/cp-enterprise-kafka:latest
    depends_on:
      - zookeeper
    ports:
    # Exposes 9092 for external connections to the broker
    # Use kafka:29092 for connections internal on the docker network
      - 9092:9092
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_BROKER_RACK: "rack-1"
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:29092,PLAINTEXT_HOST://localhost:9092
      KAFKA_AUTO_CREATE_TOPICS_ENABLE: "true"
      KAFKA_DELETE_TOPIC_ENABLE: "true"
      KAFKA_METRIC_REPORTERS: io.confluent.metrics.reporter.ConfluentMetricsReporter
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_CONFLUENT_LICENSE_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 100
      CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS: kafka:9092
      CONFLUENT_METRICS_REPORTER_ZOOKEEPER_CONNECT: zookeeper:2181
      CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS: 1
      CONFLUENT_METRICS_REPORTER_MAX_REQUEST_SIZE: 1000012
      # to avoid race condition with c3
      CONFLUENT_METRICS_REPORTER_TOPIC_CREATE: "true"
      CONFLUENT_METRICS_ENABLE: 'false'
      CONFLUENT_SUPPORT_CUSTOMER_ID: 'anonymous'
      KAFKA_LOG4J_ROOT_LOGLEVEL: WARN
      KAFKA_LOG4J_LOGGERS: "kafka.controller=WARN,state.change.logger=WARN,kafka.log.LogCleaner=WARN"
      KAFKA_JMX_PORT: 9991
      KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
      KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
      # Schema Validation
      KAFKA_CONFLUENT_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
    volumes:
      - ./produce-data:/produce-data

  schema-registry:
    image: confluentinc/cp-schema-registry:latest
    container_name: workshop-schema-registry
    cpus: 0.4
    ports:
      - 8081:8081
    depends_on:
      - zookeeper
      - kafka
    environment:
      SCHEMA_REGISTRY_HOST_NAME: schema-registry
#      SCHEMA_REGISTRY_KAFKASTORE_CONNECTION_URL: zookeeper:2181
      SCHEMA_REGISTRY_LISTENERS: "http://0.0.0.0:8081"
      SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: "PLAINTEXT://kafka:29092"
      SCHEMA_REGISTRY_LOG4J_ROOT_LOGLEVEL: INFO


  connect-ext:
    image: confluentinc/cp-kafka-connect:latest
    container_name: workshop-connect-ext
    depends_on:
      - zookeeper
      - kafka
      - schema-registry
    ports:
      - 8083:8083
    environment:
      CONNECT_BOOTSTRAP_SERVERS: "kafka:29092"
      CONNECT_REST_PORT: 8083
      CONNECT_REST_ADVERTISED_HOST_NAME: connect-ext
      CONNECT_GROUP_ID: connect-ext
      CONNECT_CONFIG_STORAGE_TOPIC: _connect-ext-configs
      CONNECT_OFFSET_STORAGE_TOPIC: _connect-ext-offsets
      CONNECT_STATUS_STORAGE_TOPIC: _connect-ext-status
      CONNECT_KEY_CONVERTER: io.confluent.connect.avro.AvroConverter
      CONNECT_KEY_CONVERTER_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'
      CONNECT_VALUE_CONVERTER: io.confluent.connect.avro.AvroConverter
      CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'
      CONNECT_LOG4J_ROOT_LOGLEVEL: "INFO"
      CONNECT_LOG4J_LOGGERS: "org.apache.kafka.connect.runtime.rest=WARN,org.reflections=ERROR"
      CONNECT_CONFIG_STORAGE_REPLICATION_FACTOR: "1"
      CONNECT_OFFSET_STORAGE_REPLICATION_FACTOR: "1"
      CONNECT_STATUS_STORAGE_REPLICATION_FACTOR: "1"
      CONNECT_PLUGIN_PATH: '/usr/share/java,/usr/share/confluent-hub-components,/local-connect-jars'
      CONNECT_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
      CONNECT_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
    volumes:
      - ./confluent-hub-components:/local-connect-jars
      - ./datagen:/datagen
    command: 
      - /bin/bash
      - -c 
      - |

        # Now launch Kafka Connect
        /etc/confluent/docker/run &
        #
        echo "Waiting for Kafka Connect to start listening on $$CONNECT_REST_ADVERTISED_HOST_NAME ⏳"
        while [ $$(curl -s -o /dev/null -w %{http_code} http://$$CONNECT_REST_ADVERTISED_HOST_NAME:$$CONNECT_REST_PORT/connectors) -ne 200 ] ; do 
          echo -e $$(date) " Kafka Connect listener HTTP state: " $$(curl -s -o /dev/null -w %{http_code} http://$$CONNECT_REST_ADVERTISED_HOST_NAME:$$CONNECT_REST_PORT/connectors) " (waiting for 200)"
          sleep 5 
        done
        echo "Waiting for Schema Registry to start listening on schema-registry:8081 ⏳"
        while [ $$(curl -s -o /dev/null -w %{http_code} http://schema-registry:8081) -eq 000 ] ; do 
          echo -e $$(date) " Schema Registry listener HTTP state: " $$(curl -s -o /dev/null -w %{http_code} http://schema-registry:8081) " (waiting for != 000)"
          sleep 5 
        done
        #
        echo "Creating datagen connector 1"
        curl -s -X PUT -H  "Content-Type:application/json" http://localhost:8083/connectors/source-aml-status-change/config \
            -d '{
            "connector.class": "io.confluent.kafka.connect.datagen.DatagenConnector",
            "key.converter": "org.apache.kafka.connect.storage.StringConverter",
            "kafka.topic": "AML_Status",
            "max.interval": 1000,
            "schema.filename": "/datagen/aml_service.avro",
            "schema.keyfield": "payment_id"
          }'
        sleep 2
        echo "Creating datagen connector 2"
        curl -s -X PUT -H  "Content-Type:application/json" http://localhost:8083/connectors/source-funds-status-change/config \
            -d '{
            "connector.class": "io.confluent.kafka.connect.datagen.DatagenConnector",
            "key.converter": "org.apache.kafka.connect.storage.StringConverter",
            "kafka.topic": "Funds_Status",
            "max.interval": 1500,
            "schema.filename": "/datagen/funds_service.avro",
            "schema.keyfield": "payment_id"
          }'
        sleep 2
        echo "Creating datagen connector 3"
        curl -s -X PUT -H  "Content-Type:application/json" http://localhost:8083/connectors/source-payment-instruction/config \
            -d '{
            "connector.class": "io.confluent.kafka.connect.datagen.DatagenConnector",
            "key.converter": "org.apache.kafka.connect.storage.StringConverter",
            "kafka.topic": "Payment_Instruction",
            "msgRate": 3,
            "schema.filename": "/datagen/payment_service.avro",
            "schema.keyfield": "payment_id"
          }'
        # Don't let the container die
        sleep infinity


  ksqldb-server:
    image: confluentinc/cp-ksqldb-server:latest
    container_name: workshop-ksqldb-server
    depends_on:
      - kafka
      - schema-registry
    volumes:
      - ./extensions:/etc/ksqldb/ext
    cpus: 1.0
    ports:
      - 8088:8088
    environment:
      KSQL_CONFIG_DIR: "/etc/ksqldb"
      KSQL_KSQL_EXTENSION_DIR: "/etc/ksqldb/ext/"
      KSQL_CUB_KAFKA_TIMEOUT: 120
      KSQL_BOOTSTRAP_SERVERS: kafka:29092
      KSQL_LISTENERS: http://0.0.0.0:8088
      KSQL_KSQL_SCHEMA_REGISTRY_URL: http://schema-registry:8081
      KSQL_KSQL_SERVICE_ID: workshop_
      KSQL_KSQL_CONNECT_URL: http://connect-ext:8083
      # uncomment this one to launch a Connect worker INSIDE the KSQL JVM
      # KSQL_KSQL_CONNECT_WORKER_CONFIG: /etc/ksql/worker.properties
      KSQL_KSQL_LOGGING_PROCESSING_TOPIC_AUTO_CREATE: "true"
      KSQL_KSQL_LOGGING_PROCESSING_STREAM_AUTO_CREATE: "true"
      KSQL_KSQL_LOGGING_PROCESSING_TOPIC_PARTITIONS: 2
      KSQL_KSQL_LOGGING_PROCESSING_TOPIC_REPLICATION_FACTOR: 1
      KSQL_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
      KSQL_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
      KSQL_KSQL_COMMIT_INTERVAL_MS: 2000
      KSQL_KSQL_CACHE_MAX_BYTES_BUFFERING: 10000000
    healthcheck:
      disable: true


  ksqldb-cli:
    # *-----------------------------*
    # To connect to the KSQL CLI: 
    #   docker exec -it ksql-cli ksql http://ksqldb-server:8088
    # *-----------------------------*
    container_name: workshop-ksqldb-cli
    image: confluentinc/cp-ksqldb-cli:latest
    cpus: 0.8
    depends_on:
      - ksqldb-server
    entrypoint: /bin/sh
    tty: true
    

# Other systems

  mysql:
    # *-----------------------------*
    # To connect to the DB: 
    #   docker-compose exec mysql bash -c 'mysql -u root -p$MYSQL_ROOT_PASSWORD'
    # *-----------------------------*
    image: mysql:8.0
    container_name: workshop-mysql
    cpus: 0.5
    ports:
      - 3306:3306
    environment:
     - MYSQL_ROOT_PASSWORD=confluent
     # specify an empty database to be created, adn a user with all rights to it, on FIRST startup
     - MYSQL_DATABASE=db4
     - MYSQL_USER=mysqluser
     - MYSQL_PASSWORD=mysqlpass
    volumes:
     - ./data/mysql:/docker-entrypoint-initdb.d/


  control-center:
    image: confluentinc/cp-enterprise-control-center:latest
    hostname: control-center
    container_name: workshop-control-center
    depends_on:
      - zookeeper
      - kafka
      - schema-registry
      - connect-ext
      - ksqldb-server
    cpus: 0.8
    ports:
      - "9021:9021"
    environment:
      CONTROL_CENTER_BOOTSTRAP_SERVERS: 'kafka:29092'
      CONTROL_CENTER_ZOOKEEPER_CONNECT: 'zookeeper:2181'
      CONTROL_CENTER_CONNECT_WORKSHOP_CLUSTER: 'http://connect-ext:8083'
      CONTROL_CENTER_KSQL_WORKSHOP_URL: "http://ksqldb-server:8088"
      CONTROL_CENTER_KSQL_WORKSHOP_ADVERTISED_URL: http://localhost:8088
      CONTROL_CENTER_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
      CONTROL_CENTER_REPLICATION_FACTOR: 1
      CONTROL_CENTER_INTERNAL_TOPICS_PARTITIONS: 1
      CONTROL_CENTER_INTERNAL_TOPICS_REPLICATION: 1
      CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_PARTITIONS: 1
      CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_REPLICATION: 1
      CONTROL_CENTER_METRICS_TOPIC_PARTITIONS: 1
      CONTROL_CENTER_METRICS_TOPIC_REPLICATION: 1
      CONTROL_CENTER_COMMAND_TOPIC_REPLICATION: 1
      CONFLUENT_METRICS_TOPIC_REPLICATION: 1
      CONTROL_CENTER_STREAMS_NUM_STREAM_THREADS: 2
      CONTROL_CENTER_STREAMS_CACHE_MAX_BYTES_BUFFERING: 104857600
      CONTROL_CENTER_DEPRECATED_VIEWS_ENABLE: "true"
      CONTROL_CENTER_LOG4J_ROOT_LOGLEVEL: WARN
      CONTROL_CENTER_REST_LISTENERS: "http://0.0.0.0:9021"
      PORT: 9021

  mongo:
    image: mongo:4.2.5
    hostname: mongo
    container_name: mongo
    ports:
      - "27017:27017"
    environment:
      MONGO_INITDB_ROOT_USERNAME: mongo-user
      MONGO_INITDB_ROOT_PASSWORD: mongo-pw
      MONGO_REPLICA_SET_NAME: my-replica-set
    command: --replSet my-replica-set --bind_ip_all
  mongo:
    image: mongo:4.2.5
    hostname: mongo
    container_name: mongo
    ports:
      - "27017:27017"
    environment:
      MONGO_INITDB_ROOT_USERNAME: mongo-user
      MONGO_INITDB_ROOT_PASSWORD: mongo-pw
      MONGO_REPLICA_SET_NAME: my-replica-set
    command: --replSet my-replica-set --bind_ip_all
    
  postgres:
    image: debezium/postgres:12
    hostname: postgres
    container_name: postgres
    ports:
      - "5432:5432"
    environment:
      POSTGRES_USER: postgres-user
      POSTGRES_PASSWORD: postgres-pw
      POSTGRES_DB: customers
    volumes:
      - ./postgres/custom-config.conf:/etc/postgresql/postgresql.conf
    command: postgres -c config_file=/etc/postgresql/postgresql.conf

  oracle:
    image: store/oracle/database-enterprise:12.2.0.1
    hostname: oracle
    volumes:
      - ./scripts:/scripts 
    container_name: oracle
    ports:
      - 1521:1521
      
  elastic:
    image: elasticsearch:7.6.2
    hostname: elastic
    container_name: elastic
    ports:
      - "9200:9200"
      - "9300:9300"
    environment:
      discovery.type: single-node