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docker-compose.yml
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docker-compose.yml
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services:
rabbitmq:
image: rabbitmq:alpine
hostname: rabbitmq
container_name: bigdata-book-rabbitmq
environment:
RABBITMQ_DEFAULT_USER: guest
RABBITMQ_DEFAULT_PASS: guest
ports:
- "5672:5672"
restart: always
networks:
sparknet:
ipv4_address: 172.28.1.7
extra_hosts:
- "metastore:172.28.1.1"
- "master:172.28.1.2"
- "worker1:172.28.1.3"
- "worker2:172.28.1.4"
- "history:172.28.1.5"
metastore:
image: postgres:11
hostname: metastore
container_name: bigdata-book-metastore
environment:
POSTGRES_PASSWORD: jupyter
ports:
- "5432:5432"
volumes:
- metastore:/var/lib/postgresql/data
- ./ddl/init.sql:/docker-entrypoint-initdb.d/init.sql
restart: always
networks:
sparknet:
ipv4_address: 172.28.1.1
extra_hosts:
- "master:172.28.1.2"
- "worker1:172.28.1.3"
- "worker2:172.28.1.4"
- "history:172.28.1.5"
- "rabbitmq:172.28.1.7"
master:
image: bigdata-book-master
hostname: master
privileged: true
container_name: bigdata-book-master
depends_on:
- metastore
- rabbitmq
environment:
SPARK_MASTER_HOST: 172.28.1.2
SPARK_LOCAL_IP: 172.28.1.2
SPARK_LOCAL_HOSTNAME: master
PYSPARK_PYTHON: python3.10
PYSPARK_DRIVER_PYTHON: python3.10
AIRFLOW_UI_ADMIN_USERNAME: admin
AIRFLOW_UI_ADMIN_PASSWORD: admin
ports:
- "4040:4040"
- "7077:7077"
- "8020:8020"
- "8080:8080" # Spark Master
- "8089:8089" # Storm UI
- "8088:8088" # Hadoop Resource Manager
- "9870:9870" # Hadoop NameNode
- "8096:8096" # Zookeeper Server
- "10000:10000" # Hive URI
- "8881:8881" # Airflow UI
volumes:
- namenode:/opt/hadoop/dfs/name
- ./examples:/opt/examples
restart: always
networks:
sparknet:
ipv4_address: 172.28.1.2
extra_hosts:
- "metastore:172.28.1.1"
- "worker1:172.28.1.3"
- "worker2:172.28.1.4"
- "history:172.28.1.5"
- "rabbitmq:172.28.1.7"
worker1:
image: bigdata-book-worker
hostname: worker1
container_name: bigdata-book-worker1
depends_on:
- master
environment:
SPARK_MASTER_HOST: 172.28.1.2
SPARK_LOCAL_IP: 172.28.1.3
SPARK_LOCAL_HOSTNAME: worker1
PYSPARK_PYTHON: python3.10
PYSPARK_DRIVER_PYTHON: python3.10
ports:
- "8042:8042" # Hadoop Node Manager 1
- "8081:8081" # Spark Worker 1
- "8001:8000" # Storm Worker Log
- "9864:9864" # Hadoop Datanode 1
volumes:
- datanode1:/opt/hadoop/dfs/data
- ./examples:/opt/examples
restart: always
networks:
sparknet:
ipv4_address: 172.28.1.3
extra_hosts:
- "metastore:172.28.1.1"
- "master:172.28.1.2"
- "worker2:172.28.1.4"
- "history:172.28.1.5"
- "rabbitmq:172.28.1.7"
worker2:
image: bigdata-book-worker
container_name: bigdata-book-worker2
hostname: worker2
depends_on:
- master
environment:
SPARK_MASTER_HOST: 172.28.1.2
SPARK_LOCAL_IP: 172.28.1.4
SPARK_LOCAL_HOSTNAME: worker2
PYSPARK_PYTHON: python3.10
PYSPARK_DRIVER_PYTHON: python3.10
ports:
- "8043:8042" # Hadoop Node Manager 2
- "8002:8000" # Storm Worker Log
- "8082:8081" # Spark Worker 2
- "9865:9864" # Hadoop Datanode 2
volumes:
- datanode2:/opt/hadoop/dfs/data
- ./examples:/opt/examples
restart: always
networks:
sparknet:
ipv4_address: 172.28.1.4
extra_hosts:
- "metastore:172.28.1.1"
- "master:172.28.1.2"
- "worker1:172.28.1.3"
- "history:172.28.1.5"
- "rabbitmq:172.28.1.7"
history:
image: bigdata-book-history
hostname: history
container_name: bigdata-book-history
depends_on:
- master
- worker1
- worker2
environment:
SPARK_MASTER_HOST: 172.28.1.2
SPARK_LOCAL_IP: 172.28.1.5
SPARK_LOCAL_HOSTNAME: history
PYSPARK_PYTHON: python3.10
PYSPARK_DRIVER_PYTHON: python3.10
ports:
- "18080:18080"
- "19888:19888" # Hadoop History Server
restart: always
networks:
sparknet:
ipv4_address: 172.28.1.5
extra_hosts:
- "metastore:172.28.1.1"
- "master:172.28.1.2"
- "worker1:172.28.1.3"
- "worker2:172.28.1.4"
- "rabbitmq:172.28.1.7"
jupyter:
image: bigdata-book-jupyter
hostname: jupyter
container_name: bigdata-book-jupyter
environment:
SPARK_MASTER_HOST: 172.28.1.2
SPARK_LOCAL_IP: 172.28.1.6
SPARK_LOCAL_HOSTNAME: jupyter
PYSPARK_PYTHON: python3.10
PYSPARK_DRIVER_PYTHON: python3.10
depends_on:
- master
- worker1
- worker2
ports:
- "8888:8888"
volumes:
- ./jupyter/notebook:/notebook
- ./jupyter/run.sh:/usr/local/sbin/run.sh
- ./examples:/opt/examples
restart: always
networks:
sparknet:
ipv4_address: 172.28.1.6
extra_hosts:
- "metastore:172.28.1.1"
- "master:172.28.1.2"
- "worker1:172.28.1.3"
- "worker2:172.28.1.4"
- "history:172.28.1.5"
- "rabbitmq:172.28.1.7"
volumes:
namenode:
datanode1:
datanode2:
metastore:
networks:
sparknet:
ipam:
driver: default
config:
- subnet: 172.28.0.0/16