pyspark.RDD.flatMapValues#

RDD.flatMapValues(f)[source]#

Pass each value in the key-value pair RDD through a flatMap function without changing the keys; this also retains the original RDD’s partitioning.

New in version 0.7.0.

Parameters

ffunction: a function to turn a V into a sequence of U

Returns

RDD: a RDD containing the keys and the flat-mapped value

See also

RDD.flatMap()
RDD.mapValues()

Examples

>>> rdd = sc.parallelize([("a", ["x", "y", "z"]), ("b", ["p", "r"])])
>>> def f(x): return x
...
>>> rdd.flatMapValues(f).collect()
[('a', 'x'), ('a', 'y'), ('a', 'z'), ('b', 'p'), ('b', 'r')]