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[SPARK-2013] minor update
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kanzhang committed Jun 14, 2014
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Expand Up @@ -381,7 +381,7 @@ Apart from text files, Spark's Python API also supports several other data forma

* `SparkContext.wholeTextFiles` lets you read a directory containing multiple small text files, and returns each of them as (filename, content) pairs. This is in contrast with `textFile`, which would return one record per line in each file.

* `RDD.saveAsPickleFile` and `SparkContext.pickleFile` support saving and reading an RDD in a simple format consisting of pickled Python objects. Batching is used on pickle serialization, with default batch size 10.
* `RDD.saveAsPickleFile` and `SparkContext.pickleFile` support saving an RDD in a simple format consisting of pickled Python objects. Batching is used on pickle serialization, with default batch size 10.

* Details on reading `SequenceFile` and arbitrary Hadoop `InputFormat` are given below.

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