Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/15422
> For example, in MR you have the ability to even set the percentage of bad
records you want to tolerate (we dont have that in spark).
I may be wrong. But in MR, I think bad records just means `map` or `reduce`
throws an exception. It's not related to any IOException (including
EOFExcpetion).
(https://github.com/apache/hadoop/blob/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapred/Task.java#L1490)
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