Hadoop的master和slave分别运行在不同的Docker容器中,其中hadoop-master容器中运行NameNode和ResourceManager,hadoop-slave容器中运行DataNode和NodeManager。NameNode和DataNode是Hadoop分布式文件系统HDFS的组件,负责储存输入以及输出数据,而ResourceManager和NodeManager是Hadoop集群资源管理系统YARN的组件,负责CPU和内存资源的调度。
下载docker镜像
sudo docker pull sciatta/hadoop:2.7.2.RELEASE
或者通过Dockerfile构建
git clone https://github.com/sciatta/hadoop-cluster-docker.git
cd hadoop-cluster-docker
sudo docker build -t sciatta/hadoop:2.7.2.RELEASE .
下载GitHub仓库
git clone https://github.com/sciatta/hadoop-cluster-docker.git
创建Hadoop网络
sudo docker network create --driver=bridge hadoop
运行Docker容器
cd hadoop-cluster-docker
sh ./start-container.sh
运行结果
start hadoop-master container...
start hadoop-slave1 container...
start hadoop-slave2 container...
root@hadoop-master:~#
- 启动了3个容器,1个master,2个slave
- 运行后就进入了hadoop-master容器的/root目录
启动Hadoop,运行wordcount
sh ./start-hadoop.sh
sh ./run-wordcount.sh
运行结果
input file1.txt:
Hello Hadoop
input file2.txt:
Hello Docker
wordcount output:
Docker 1
Hadoop 1
Hello 2
Hadoop网页管理地址
NameNode: http://192.168.0.29:50070/
ResourceManager: http://192.168.0.29:8088/
- 192.168.0.29为运行容器的主机IP。
指定容器数量CONTAINERNO,可以任意指定CONTAINERNO(CONTAINERNO>1)
export CONTAINERNO=5
重新构建Docker镜像
sh ./resize-cluster.sh $CONTAINERNO
启动Docker容器
sh ./start-container.sh $CONTAINERNO
启动Hadoop,运行wordcount
sh ./start-hadoop.sh
sh ./run-wordcount.sh