pyspark.RDD.map#

RDD.map(f, preservesPartitioning=False)[source]#

Return a new RDD by applying a function to each element of this RDD.

New in version 0.7.0.

Parameters

ffunction: a function to run on each element of the RDD
preservesPartitioningbool, optional, default False: indicates whether the input function preserves the partitioner, which should be False unless this is a pair RDD and the input function doesnt modify the keys

Returns

See also

Examples

>>> rdd = sc.parallelize(["b", "a", "c"])
>>> sorted(rdd.map(lambda x: (x, 1)).collect())
[('a', 1), ('b', 1), ('c', 1)]

pyspark.RDD.lookup

pyspark.RDD.mapPartitions

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