Github user mgaido91 commented on the issue:
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@maropu I'd say so, but I am still not sure what (if there is one) is the
difference between `wholeStage=false,sactoryMode=NO_CODEGEN` and
`wholeStage=true,factoryMode=NO_CODEGEN`.
Github user wangyum commented on the issue:
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This file generated by
[TPCDSQueryOptimizerTracker.scala](https://github.com/wangyum/spark/blob/SPARK-25872/sql/core/src/test/scala/org/apache/spark/sql/TPCDSQueryOptimizerTracker.scala).
runtimes
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retest this please
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Github user viirya commented on the issue:
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Sounds good to me too. As there is a config, it is good that we can still
disable it.
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Github user viirya commented on a diff in the pull request:
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@@ -272,9 +279,13 @@ object PartitioningUtils {
Github user seancxmao commented on the issue:
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@HyukjinKwon Would you please kindly take a look at this when you have time?
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+1 from me to. It makes sense to me and having configuration sounds good.
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cc @cloud-fan, @maropu, @kiszk
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@arunmahadevan don't fully understand your comment:
> Rather than controlling the queue sizes it would be better to limit the
max epoch backlog and fail the query once that threshold
Github user gaborgsomogyi commented on the issue:
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@HeartSaVioR It was tested with S3 and the trick is to have HUGE amount of
files. Listing files is pathologically bad as @steveloughran stated, glob is
even worse.
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Can one of the admins verify this patch?
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retest this please.
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nvm ;) we still have much time until the next release.
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Retest this please.
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[SPARK-26289][CORE]cleanup enablePerfMetrics parameter from BytesToBytesMap
## What changes were proposed in this pull request?
`enablePerfMetrics `was originally designed in
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Github user rxin commented on the issue:
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```var writer: ShuffleWriter[Any, Any] = null
try {
val manager = SparkEnv.get.shuffleManager
writer = manager.getWriter[Any, Any](
dep.shuffleHandle,
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