[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>)]

2022-12-23
2022-12-23
2021-03-31
2021-06-09
2021-07-23
2022-12-23
2021-09-07
2021-11-14