[Spark][Python][DataFrame][RDD]从DataFrame得到RDD的例子
$ hdfs dfs -cat people.json
{"name":"Alice","pcode":"94304"}
{"name":"Brayden","age":30,"pcode":"94304"}
{"name":"Carla","age":19,"pcoe":"10036"}
{"name":"Diana","age":46}
{"name":"Etienne","pcode":"94104"}
$pyspark
sqlContext = HiveContext(sc)
peopleDF = sqlContext.read.json("people.json")
peopleRDD = peopleDF.rdd
peopleRDD.take(5)
[Row(age=None, name=u‘Alice‘, pcode=u‘94304‘, pcoe=None),
Row(age=30, name=u‘Brayden‘, pcode=u‘94304‘, pcoe=None),
Row(age=19, name=u‘Carla‘, pcode=None, pcoe=u‘10036‘),
Row(age=46, name=u‘Diana‘, pcode=None, pcoe=None),
Row(age=None, name=u‘Etienne‘, pcode=u‘94104‘, pcoe=None)]
[Spark][Python][DataFrame][RDD]从DataFrame得到RDD的例子
原文：http://www.cnblogs.com/gaojian/p/7635011.html