A Microservice-Based Big Data Analysis Platform for Online Educational Applications

Algorithm 1

JupyterHub-docker-compose-example.yml.

	version: ‘3'
	services:
	hub-db:
	image: postgres
	container_name: Jupyterhub-db
	restart: always
	env_file:
	-Jupyterhub/secrets/postgres.env
	volumes:
	–“db : ${DB_VOLUME_CONTAINER}”
	hub:
	depends_on:
	–hub-db
	build:
	context:./Jupyterhub
	dockerfile: Dockerfile
	args:
	Jupyterhub_VERSION: ${Jupyterhub_VERSION}
	restart: always
	image: Jupyterhub
	container_name: Jupyterhub
	ports:
	–“443:443”
	–“7070:7070”
	links:
	-hub-db
	env_file:
	-Jupyterhub/secrets/postgres.env
	-Jupyterhub/secrets/oauth.env
	command: >
	Jupyterhub-f/srv/Jupyterhub/Jupyterhub_config.py
	spark-master:
	build:
	context: /spark-master
	dockerfile: Dockerfile
	image: spark-master
	container_name: spark-master
	hostname: spark-master
	ports:
	–“8585 : 8080”
	–“7077 : 7077”
	volumes:
	-/mnt/spark-apps : /opt/spark-apps
	-/mnt/spark-data : /opt/spark-data
	spark-worker-1:
	spark-worker-2:
	spark-worker-3:
	namenode:
	image: hadoop-namenode : 2.0.0-hadoop3.1.1-java8
	container_name: namenode
	volumes:
	-“namenode:/hadoop/dfs/name”
	env_file:
	-/hadoop.env
	datanode:
	image: hadoop-datanode : 2.0.0-hadoop3.1.1-java8