docker toolbox

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https://www.docker.com/products/docker-toolbox

spark

https://hub.docker.com/r/singularities/spark/~/dockerfile/

# start-hadoop-namenode

# hadoop fs -mkdir /user

# hadoop fs -mkdir /user/root/

# hadoop fs -put ./README.md /user/root

# start-spark

# start-spark worker [master]

# spark-shell

# spark-shell --master spark://a60b8c8f9653:7077

scala> val lines = sc.textFile("file:///usr/local/spark-2.1.0/README.md")

scala> val lines = sc.textFile("hdfs:///usr/local/spark-2.1.0/README.md")

lines: org.apache.spark.rdd.RDD[String] = file:///usr/local/spark-2.1.0/README.md MapPartitionsRDD[1] at textFile at :24

scala> lines.count()

res0: Long = 104

scala> lines.saveAsTextFile("hdfs:///user/root/README2.md")  // 保存到hdfs

文章标题：windows基于docker下的spark开发环境搭建
文章出自：http://kswsj.cn/article/ieecep.html