前提条件：安装好了docker，见我的另一篇博客，Docker安装
有两种方式，
- Spark官方repo里，docker文件夹下的脚本。官方的这个脚本封装很薄，尽可能把必要的信息展示出来。
- AMPLab开源的这个独立小项目，来打造一个spark集群。这个脚本封装很深，自带了一个DNS服务器，还有hadoop，非常自动化，缺点是很多信息看不到了。
1. 第1种方式
git clone 源码
首先要把官方repo的代码下载下来
git clone git@github.com:apache/incubator-spark.git
（可选）修改apt源
在国内，将apt源修改国内源，例如163的源，速度会快很多。将base/Dockerfile里的
RUN echo "deb http://archive.ubuntu.com/ubuntu precise main universe" > /etc/apt/sources.list
替换为
RUN echo "deb http://mirrors.163.com/ubuntu/ precise main restricted universe multiverse" > /etc/apt/sources.list
RUN echo "deb http://mirrors.163.com/ubuntu/ precise-security main restricted universe multiverse" >> /etc/apt/sources.list
RUN echo "deb http://mirrors.163.com/ubuntu/ precise-updates main restricted universe multiverse" >> /etc/apt/sources.list
RUN echo "deb http://mirrors.163.com/ubuntu/ precise-proposed main restricted universe multiverse" >> /etc/apt/sources.list
RUN echo "deb http://mirrors.163.com/ubuntu/ precise-backports main restricted universe multiverse" >> /etc/apt/sources.list
RUN echo "deb-src http://mirrors.163.com/ubuntu/ precise main restricted universe multiverse" >> /etc/apt/sources.list
RUN echo "deb-src http://mirrors.163.com/ubuntu/ precise-security main restricted universe multiverse" >> /etc/apt/sources.list
RUN echo "deb-src http://mirrors.163.com/ubuntu/ precise-updates main restricted universe multiverse" >> /etc/apt/sources.list
RUN echo "deb-src http://mirrors.163.com/ubuntu/ precise-proposed main restricted universe multiverse" >> /etc/apt/sources.list
RUN echo "deb-src http://mirrors.163.com/ubuntu/ precise-backports main restricted universe multiverse" >> /etc/apt/sources.list
build镜像
将build和spark-test/build里的docker命令前，添加sudo，然后执行docker下的build
cd docker
./build
启动master
sudo docker run -v $SPARK_HOME:/opt/spark spark-test-master
启动worker
新开一个终端窗口（强烈推荐tmux），启动一个worker
sudo docker run -v $SPARK_HOME:/opt/spark spark-test-worker <master_ip>
可以在master终端窗口看到worker注册上来了。
可以再开多个终端窗口，启动多个worker。
2. 第2种方式
升级wget
如果发现wget不识别--no-proxy选项，需要升级wget。
下载镜像
为了让脚本第一次执行的时候更快，还是手动下载所有的镜像吧，amplab在index.docker.io上有一个官方账号，把这个账号有关spark的repo都pull下来。
sudo docker pull amplab/apache-hadoop-hdfs-precise
sudo docker pull amplab/dnsmasq-precise
sudo docker pull amplab/spark-worker
sudo docker pull amplab/spark-master
sudo docker pull amplab/spark-shell
git clone 脚本
git@github.com:amplab/docker-scripts.git
这个脚本可以一键启动集群，爽啊哈哈哈！
一键启动spark集群
sudo ./deploy/deploy.sh -i amplab/spark:0.8.0 -w 3
启动 Spark shell
启动一个交互式shell吧，IP为上一步输出的Master的IP
sudo docker run -i -t -dns 172.17.0.90 amplab/spark-shell:0.8.0
运行一个简单的的例子
scala> val textFile = sc.textFile("hdfs://master:9000/user/hdfs/test.txt")
scala> textFile.count()
scala> textFile.map({line => line}).collect()
关闭集群
$ sudo ./deploy/kill_all.sh spark
$ sudo ./deploy/kill_all.sh nameserver