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URL: https://github.com/apache/spark/pull/28596#issuecomment-632390331
retest this please
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retest this please
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gengliangwang closed pull request #28602:
URL: https://github.com/apache/spark/pull/28602
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gengliangwang commented on pull request #28602:
URL: https://github.com/apache/spark/pull/28602#issuecomment-632387870
Since this is the latest commit, I am going to merge it now.
cc @sarutak
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URL: https://github.com/apache/spark/pull/28602#issuecomment-632387698
See the discussion in
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This is an
gengliangwang opened a new pull request #28602:
URL: https://github.com/apache/spark/pull/28602
This reverts commit 92877c4ef2ad113c156b7d9c359f396187c78fa3.
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gengliangwang commented on pull request #28585:
URL: https://github.com/apache/spark/pull/28585#issuecomment-632387056
@sarutak sorry about that, let me do the revert
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sarutak commented on pull request #28585:
URL: https://github.com/apache/spark/pull/28585#issuecomment-632386519
@gengliangwang This PR doesn't pass test.
As I mentioned
[here](https://github.com/apache/spark/pull/28585#issuecomment-631255845),
#28578 should be merged first.
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huaxingao commented on pull request #28595:
URL: https://github.com/apache/spark/pull/28595#issuecomment-632379756
I think this is an okay abstraction because ```k``` corresponds to number of
clusters. Selecting the number of clusters is similar for the five different
clustering
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dongjoon-hyun opened a new pull request #28601:
URL: https://github.com/apache/spark/pull/28601
### What changes were proposed in this pull request?
### Why are the changes needed?
### Does this PR introduce _any_ user-facing change?
###
huaxingao commented on pull request #28553:
URL: https://github.com/apache/spark/pull/28553#issuecomment-632375218
Added the check to make sure weights are all positive.
We probably need to do this for everything that has instance weight support.
I will open a ticket to fix all of them?
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dongjoon-hyun commented on pull request #28544:
URL: https://github.com/apache/spark/pull/28544#issuecomment-632352326
It seems that this causes consistent failures in SBT in branch-3.0 with Hive
2.7.
-
kuhushukla commented on a change in pull request #28600:
URL: https://github.com/apache/spark/pull/28600#discussion_r428917111
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
##
@@ -423,13 +434,21 @@ case class
dongjoon-hyun commented on pull request #28599:
URL: https://github.com/apache/spark/pull/28599#issuecomment-632347920
Merged to branch-2.4.
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dbtsai commented on pull request #28599:
URL: https://github.com/apache/spark/pull/28599#issuecomment-632346811
Thanks. LGTM.
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dongjoon-hyun commented on pull request #28544:
URL: https://github.com/apache/spark/pull/28544#issuecomment-632346946
Ur, @juliuszsompolski . In
https://github.com/apache/spark/pull/28544#discussion_r428188247, did you mean
this PR is still failing in some environment?
> We found it
dongjoon-hyun commented on pull request #28599:
URL: https://github.com/apache/spark/pull/28599#issuecomment-632344596
Could you review this PR, @dbtsai and @holdenk ?
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sandeep-katta opened a new pull request #28600:
URL: https://github.com/apache/spark/pull/28600
### What changes were proposed in this pull request?
`IntegralDivide` operator returns Long DataType, so integer overflow case
should be handled.
If the operands are of type Int it will be
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dongjoon-hyun opened a new pull request #28599:
URL: https://github.com/apache/spark/pull/28599
### What changes were proposed in this pull request?
This is a subset of #26488 with the same ownership.
### Why are the changes needed?
### Does this PR introduce
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iRakson commented on pull request #28485:
URL: https://github.com/apache/spark/pull/28485#issuecomment-632291678
@srowen @sarutak @uncleGen This PR has been updated.
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gengliangwang commented on pull request #28578:
URL: https://github.com/apache/spark/pull/28578#issuecomment-632278408
@sarutak seems there is code conflict after
https://github.com/apache/spark/pull/28585 is merged.
This
gengliangwang closed pull request #28585:
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gengliangwang commented on pull request #28585:
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merging to master
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Merging to master
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