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retest this please.
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Github user cloud-fan commented on the issue:
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let's also cc the author. @jerryshao do you know if there is a way to fix
the regression?
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I think we should document the difference between table options and
properties. AFAIK we added table properties to data source tables since Spark
2.3, and previously table options is the only
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LGTM
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/Task.scala ---
@@ -79,6 +79,7 @@ private[spark] abstract class Task[T](
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The idea LGTM, but I think we can simplify the implementation to allow the
memory allocator to return a larger memory than requested.
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@@ -261,6 +261,17 @@ object SQLConf {
.booleanConf
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@@ -82,7 +82,11 @@ case class HadoopFsRelation(
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@felixcheung
if you submit spark on yarn with
`spark.streaming.dynamicAllocation.enabled=true`, the `num-executors` can not
be set. So, at the begining, there are only 2(default value)
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@wzhfy thanks for the review, please take a look
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@cloud-fan Please take another look.
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Thanks! Merged to master
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@srowen ok ,i will update, thanks
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retest this please
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Merged to master.
Thank you @srowen, @felixcheung and @ueshin for reviewing this.
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hmm, that sounds like a different problem, why is numReceivers set to >
spark.cores.max?
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ah yes, please please :)
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lgtm
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Is this PR still targeted to 2.3? @cloud-fan @gatorsmile
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ping @cloud-fan shall we continue with this PR?
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gentle ping @ueshin
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