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Github user HyukjinKwon commented on the issue:
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ok to test
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Github user ericvandenbergfb commented on the issue:
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@sitalkedia Added comment in test section on some benchmarks.
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Github user ericvandenbergfb commented on the issue:
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@cloud-fan In this case it reverts to the existing behavior, it will spill
synchronously, free memory and then continue inserting. In addition, it would
re-tune (down) the spill
Github user ericvandenbergfb commented on the issue:
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@cloud-fan I think this could be enabled for other sorters (mentioned that
at end of design spec), just wanted to get this in incrementally.
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Github user sitalkedia commented on the issue:
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@ericvandenbergfb - In the testing section, let's put the benchmark numbers
for large shuffle heavy jobs we ran internally.
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Github user cloud-fan commented on the issue:
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and also what's the behavior if the memory is used up but
`spark.shuffle.async.num.sorter` is not hit yet?
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Github user cloud-fan commented on the issue:
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shall we do it for all the external sorters?
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Github user gatorsmile commented on the issue:
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cc @JoshRosen @jiangxb1987
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Github user vanzin commented on the issue:
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ok to test
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