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