Random numbers generation in PySpark

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So the actual problem here is relatively simple. Each subprocess in Python inherits its state from its parent:

len(set(sc.parallelize(range(4), 4).map(lambda _: random.getstate()).collect()))
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Since parent state has no reason to change in this particular scenario and workers have a limited lifespan, state of every child will be exactly the same on each run.

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