docker toolbox
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 <console>:24
scala> lines.count()
res0: Long = 104
scala> lines.saveAsTextFile("hdfs:///user/root/README2.md") // 保存到hdfs
本文出自 “某人说我技术宅” 博客，请务必保留此出处http://1992mrwang.blog.51cto.com/3265935/1895904
windows 基于docker下的 spark 开发环境搭建
原文：http://1992mrwang.blog.51cto.com/3265935/1895904