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docker-compose.yml
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docker-compose.yml
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version: "3.5"
services:
namenode: #Master (metadata/chunk)
image: bde2020/hadoop-namenode:2.0.0-hadoop3.1.2-java8
container_name: namenode
restart: always
ports:
- 9870:9870
- 9000:9000
volumes:
- hadoop_namenode:/hadoop/dfs/name
environment:
- CLUSTER_NAME=test
env_file:
- ./hadoop.env
networks:
cscourse:
ipv4_address: 172.200.0.2
datanode1: #Slave1
image: bde2020/hadoop-datanode:2.0.0-hadoop3.1.2-java8
container_name: datanode1
restart: always
ports:
- 9864:9864
volumes:
- hadoop_datanode1:/hadoop/dfs/data
environment:
SERVICE_PRECONDITION: "namenode:9870"
env_file:
- ./hadoop.env
networks:
cscourse:
ipv4_address: 172.200.0.3
datanode2: #Slave2
image: bde2020/hadoop-datanode:2.0.0-hadoop3.1.2-java8
container_name: datanode2
restart: always
ports:
- 9865:9864
volumes:
- hadoop_datanode2:/hadoop/dfs/data
environment:
SERVICE_PRECONDITION: "namenode:9870"
env_file:
- ./hadoop.env
networks:
cscourse:
ipv4_address: 172.200.0.4
datanode3: #Slave3
image: bde2020/hadoop-datanode:2.0.0-hadoop3.1.2-java8
container_name: datanode3
restart: always
ports:
- 9866:9864
volumes:
- hadoop_datanode3:/hadoop/dfs/data
environment:
SERVICE_PRECONDITION: "namenode:9870"
env_file:
- ./hadoop.env
networks:
cscourse:
ipv4_address: 172.200.0.5
# resourcemanager: #Yarn
# image: bde2020/hadoop-resourcemanager:2.0.0-hadoop3.1.2-java8
# container_name: resourcemanager
# ports:
# - 8088:8088
# environment:
# SERVICE_PRECONDITION: "namenode:9870 datanode1:9864 datanode2:9864 datanode3:9864"
# env_file:
# - ./hadoop.env
# networks:
# cscourse:
# ipv4_address: 172.200.0.6
# nodemanager: #Node Orchestrator (for containers)
# image: bde2020/hadoop-nodemanager:2.0.0-hadoop3.1.2-java8
# container_name: nodemanager
# ports:
# - 8042:8042
# environment:
# SERVICE_PRECONDITION: "namenode:9870 datanode1:9864 datanode2:9864 datanode3:9864 resourcemanager:8088"
# env_file:
# - ./hadoop.env
# networks:
# cscourse:
# ipv4_address: 172.200.0.7
# historyserver: #Job Store
# image: bde2020/hadoop-historyserver:2.0.0-hadoop3.1.2-java8
# container_name: historyserver
# ports:
# - 8188:8188
# environment:
# SERVICE_PRECONDITION: "namenode:9870 datanode1:9864 datanode2:9864 datanode3:9864 resourcemanager:8088"
# volumes:
# - hadoop_historyserver:/hadoop/yarn/timeline
# env_file:
# - ./hadoop.env
# networks:
# cscourse:
# ipv4_address: 172.200.0.8
spark-master:
image: bde2020/spark-master:2.4.4-hadoop2.7
container_name: spark-master
ports:
- "8080:8080"
- "7077:7077"
environment:
- INIT_DAEMON_STEP=setup_spark
networks:
cscourse:
ipv4_address: 172.200.0.9
spark-worker-1:
image: bde2020/spark-worker:2.4.4-hadoop2.7
container_name: spark-worker-1
depends_on:
- spark-master
ports:
- "8081:8081"
environment:
- "SPARK_MASTER=spark://spark-master:7077"
networks:
cscourse:
ipv4_address: 172.200.0.10
spark-worker-2:
image: bde2020/spark-worker:2.4.4-hadoop2.7
container_name: spark-worker-2
depends_on:
- spark-master
ports:
- "8082:8082"
environment:
- "SPARK_MASTER=spark://spark-master:7077"
networks:
cscourse:
ipv4_address: 172.200.0.11
spark-worker-3:
image: bde2020/spark-worker:2.4.4-hadoop2.7
container_name: spark-worker-3
depends_on:
- spark-master
ports:
- "8083:8083"
environment:
- "SPARK_MASTER=spark://spark-master:7077"
networks:
cscourse:
ipv4_address: 172.200.0.12
networks:
cscourse:
name: hadoop
ipam:
config:
- subnet: 172.200.0.0/24
volumes:
hadoop_namenode:
name: namenode
hadoop_datanode1:
name: datanode1
hadoop_datanode2:
name: datanode2
hadoop_datanode3:
name: datanode3
hadoop_historyserver:
name: historyserver