Github user mridulm commented on the issue:
https://github.com/apache/spark/pull/15422
@srowen Since this is happening 'below' the user code (in the hadoop rdd),
is there a way around how to handle this ?
I agree that for a lot of usecases where it is critical to work off the
entire data, we should abort rather than process incomplete (and corrupt) data;
not sure if we want to customize ability to do this though.
EOFException being thrown instead of IOException is an implementation
detail of the codec if I am not wrong (I dont think the contract specifies
this) - @zsxwing can confirm though, I am not very familiar with that.
setting finished = true should probably be done not just for EOFException,
but also for IOException.
I am fine with that as well, though this is a behavior change.
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