Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/21424
I left the JIRA resolved as "Won't fix" given the discussion above.
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/21424
> Broadcast is special because it's run on driver side, so
SparkOutOfMemoryError is same as OutOfMemoryError, we need to kill the driver
anyway.
Thanks a lot for deep explanation, I
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/21424
That's a good point!
According to the document of `SparkOutOfMemoryError`, Spark should not kill
the executor if `SparkOutOfMemoryError` is thrown. Broadcast is special because
it's run
Github user jinxing64 commented on the issue:
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@cloud-fan
> I also found that we may throw OOM
My previous understanding is that Spark throw `SparkOutOfMemoryError` when
expect there's no memory -- such expectation is from Spark
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Github user jinxing64 commented on the issue:
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cc @cloud-fan @JoshRosen
Would you please help take a look at this when you have time ?
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