Github user viirya commented on the issue:
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Well, it can be discussed for the many aspects of this feature. I agree we
can close this for now because this is open for a while and seems no urgent
need for it.
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The current solution could OOM executors whose memory sizes are normally
much smaller than the driver. We might also see the performance regression when
the number of partitions is large and the
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@rxin Do we still consider to incorporate this broadcast on executor
feature? Thanks.
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ping @rxin Do you have any more thoughts or feedback for this? Thanks.
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retest this please.
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retest this please.
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retest this please.
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`org.apache.spark.rdd.AsyncRDDActionsSuite.async failure handling` passes
locally.
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retest this please.
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retest this please.
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retest this please.
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@rxin Do you have new thoughts on this recently? Thanks.
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@rxin ok. no problem. Please let me know if anything I need to explain more
in details.
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hm sorry for the delay. This is pretty complicated and we need to compare
the two implementations.
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ping @rxin @JoshRosen Can you review this? Thanks!
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pinc @rxin @JoshRosen Can you take a look? Thanks.
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retest this please.
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Awesome - so excited to see this :)
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@holdenk After rethinking this, I have an idea that we can avoid this
surprise. Let me refactor this and please review this then. Thanks!
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Github user holdenk commented on the issue:
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So if the primary use of this is inside of SQL then that might be OK
(because we can just be very careful about it) - but since we are also exposing
it to the user it feels like that these
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