[Spark][Python][DataFrame][RDD]DataFrame中抽取RDD例子
sqlContext = HiveContext(sc)
peopleDF = sqlContext.read.json("people.json")
peopleRDD = peopleDF.map(lambda row: (row.pcode,row.name))
peopleRDD.take(5)
Out[5]:
[(u‘94304‘, u‘Alice‘),
(u‘94304‘, u‘Brayden‘),
(u‘10036‘, u‘Carla‘),
(None, u‘Diana‘),
(u‘94104‘, u‘Etienne‘)]
peopleByPCode= peopleRDD.groupByKey()
peopleByPCode.take(5)
[(u‘10036‘, <pyspark.resultiterable.ResultIterable at 0x7f0d683a2290>),
(u‘94104‘, <pyspark.resultiterable.ResultIterable at 0x7f0d683a2690>),
(u‘94304‘, <pyspark.resultiterable.ResultIterable at 0x7f0d683a2490>),
(None, <pyspark.resultiterable.ResultIterable at 0x7f0d683a25d0>)]
[Spark][Python][DataFrame][RDD]DataFrame中抽取RDD例子
原文：http://www.cnblogs.com/gaojian/p/7636004.html