Github user erikerlandson commented on the pull request:
https://github.com/apache/spark/pull/1689#issuecomment-55805772
So far the best idea I have for (2) is to set some kind of time-out on the
evaluation. The bound computation uses subsampling that will (when all goes
well) cap the computation at constant time. If the timeout triggers, some
sub-optimal falback for partitioning might be used. Or just fail the entire
evaluation.
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