参考：
we highly recommend you to switch to use Dataset, which has better performance than RDD
第一要务：创建 SparkContext
连接到Spark"集群"：local，standalone,yarn,mesos
通过SparkContext来创建RDD、广播变量到集群
在创建SparkContext之前需要创建一个SparkConf对象
进入spark的bin目录下
./pyspark
In the PySpark shell, a special interpreter-aware SparkContext is already created for you, in the variable called sc.
appName
./pyspark --help 查看帮助
RDD创建方式
Parallelized Collections
data = [1, 2, 3, 4, 5] distData = sc.parallelize(data)
External Datasets
distFile = sc.textFile("file:////root/app/test/hello.txt")
If using a path on the local filesystem, the file must also be accessible at the same path on worker nodes
2.初始化spark
原文：https://www.cnblogs.com/huangguoming/p/10929385.html
