pyspark.RDD.flatMap

RDD.flatMap(f: Callable[[T], Iterable[U]], preservesPartitioning: bool = False) → pyspark.rdd.RDD[U]

Return a new RDD by first applying a function to all elements of this RDD, and then flattening the results.

Examples

>>> rdd = sc.parallelize([2, 3, 4])
>>> sorted(rdd.flatMap(lambda x: range(1, x)).collect())
[1, 1, 1, 2, 2, 3]
>>> sorted(rdd.flatMap(lambda x: [(x, x), (x, x)]).collect())
[(2, 2), (2, 2), (3, 3), (3, 3), (4, 4), (4, 4)]

pyspark.RDD.first pyspark.RDD.flatMapValues