Github user nchammas commented on the issue:
https://github.com/apache/spark/pull/14579
Sorry, you're right, `__exit__()`'s return value is not going to be
consumed anywhere. What I meant is that `unpersist()` would return the base RDD
or DataFrame object.
But I'm not seeing the issue with the example you posted. Reformatting for
clarity:
```python
magic = rdd.persist()
with magic as awesome:
awesome.count()
magic.map(lambda x: x + 1)
```
Are you saying `magic.map()` will error? Why would it?
`magic` would be an instance of `PersistedRDD`, which in turn is a subclass
of `RDD`, which has `map()` and all of the usual methods defined, plus the
magic methods we need for the context manager.
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