fqaiser94 edited a comment on pull request #27066:
URL: https://github.com/apache/spark/pull/27066#issuecomment-645047815
@cloud-fan I've made fairly significant changes to the implementation in
order to address the issue where poorly optimized physical plans resulted in
massive amounts
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HyukjinKwon commented on pull request #28845:
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Thanks @WeichenXu123 for review.
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Let me just merge and go ahead since it's just all about a documentation and
warning at the end where we can change without many restrictions.
Let me know if you guys
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URL: https://github.com/apache/spark/pull/28848#discussion_r441280737
##
File path:
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##
@@ -540,6 +540,46 @@ class DAGSchedulerSuite extends
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retest this please
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jiangxb1987 commented on a change in pull request #28839:
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##
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@attilapiros
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cc @tgravescs
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dongjoon-hyun opened a new pull request #28847:
URL: https://github.com/apache/spark/pull/28847
### What changes were proposed in this pull request?
This aims to replace `executorIdsToBeRemoved` with `executorIdToBeRemoved`.
### Why are the changes needed?
Since a wrong
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Merged to master and branch-3.0.
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Thank you, @HyukjinKwon .
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siknezevic commented on a change in pull request #27246:
URL: https://github.com/apache/spark/pull/27246#discussion_r441273689
##
File path: core/src/main/scala/org/apache/spark/internal/config/package.scala
##
@@ -1238,6 +1239,18 @@ package object config {
s"The
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wypoon opened a new pull request #28848:
URL: https://github.com/apache/spark/pull/28848
…after executor is lost
### What changes were proposed in this pull request?
If an executor is lost, the `DAGScheduler` handles the executor loss by
removing the executor but does not
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cloud-fan commented on a change in pull request #28842:
URL: https://github.com/apache/spark/pull/28842#discussion_r441297086
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/HiveResult.scala
##
@@ -72,47 +90,32 @@ object HiveResult {
}
}
- //
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Merged to master.
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cloud-fan commented on pull request #28778:
URL: https://github.com/apache/spark/pull/28778#issuecomment-645167188
After more thoughts, I think the file partitions split logic itself is
problematic. Its target is to make the number of partitions the same as the
total number of cores,
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karuppayya commented on a change in pull request #28715:
URL: https://github.com/apache/spark/pull/28715#discussion_r440609572
##
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##
@@ -226,18 +226,33 @@ case class GenerateExec(
"0"
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Can one of the admins verify this patch?
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wangyum commented on pull request #28838:
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ok to test.
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retest this please
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sarutak edited a comment on pull request #28799:
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@liucht-inspur You can't run Jenkins by yourself for now.
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bart-samwel commented on pull request #28836:
URL: https://github.com/apache/spark/pull/28836#issuecomment-644615299
I'm not a huge fan of this. For one thing, it is not in ANSI SQL 2016.
AFAICT it's a Teradata extension that Snowflake adopted as well because they
get a lot of Teradata
xuanyuanking commented on pull request #28838:
URL: https://github.com/apache/spark/pull/28838#issuecomment-644615113
retest this please
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sarutak opened a new pull request #28839:
URL: https://github.com/apache/spark/pull/28839
### What changes were proposed in this pull request?
### Why are the changes needed?
This PR fixes the flaky testcase "barrier stage should fail if only partial
tasks are launched"
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cloud-fan commented on pull request #28707:
URL: https://github.com/apache/spark/pull/28707#issuecomment-644635176
I guess we may need to change the state store API to allow Spark to do
validation easily. I'm OK to put the validation logic in the state store
implementation for now, and
cloud-fan edited a comment on pull request #28707:
URL: https://github.com/apache/spark/pull/28707#issuecomment-644635176
It seems we need to change the state store API to allow Spark to do
validation easily. I'm OK to put the validation logic in the state store
implementation for now,
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MaxGekk commented on a change in pull request #28824:
URL: https://github.com/apache/spark/pull/28824#discussion_r440628505
##
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##
@@ -416,38 +418,39 @@ class
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