pyspark.RDD.sample¶

RDD.sample(withReplacement: bool, fraction: float, seed: Optional[int] = None) → pyspark.rdd.RDD[T][source]¶

Return a sampled subset of this RDD.

Parameters

withReplacementbool: can elements be sampled multiple times (replaced when sampled out)
fractionfloat: expected size of the sample as a fraction of this RDD’s size without replacement: probability that each element is chosen; fraction must be [0, 1] with replacement: expected number of times each element is chosen; fraction must be >= 0
seedint, optional: seed for the random number generator

Notes

This is not guaranteed to provide exactly the fraction specified of the total count of the given DataFrame.

Examples

>>> rdd = sc.parallelize(range(100), 4)
>>> 6 <= rdd.sample(False, 0.1, 81).count() <= 14
True