Github user nchammas commented on the issue: https://github.com/apache/spark/pull/14579 > the subclassing of RDD approach could cause us to miss out on pipelining if the RDD was used again after it was unpersisted How so? Wouldn't `__exit__()` simply return the parent RDD or DataFrame object?
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