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fishmandev commented on pull request #34129:
URL: https://github.com/apache/spark/pull/34129#issuecomment-929858922
> Also, Github Actions in your forked repository should be enable to run CI
Done it.
> While we're here, mind checking if there are more typos to fix around
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dongjoon-hyun commented on pull request #34138:
URL: https://github.com/apache/spark/pull/34138#issuecomment-929855453
Thank you, @HyukjinKwon .
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dongjoon-hyun commented on pull request #34134:
URL: https://github.com/apache/spark/pull/34134#issuecomment-929855305
+1, late LGTM.
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HyukjinKwon closed pull request #34134:
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HyukjinKwon commented on pull request #34134:
URL: https://github.com/apache/spark/pull/34134#issuecomment-929854333
Thanks guys.
Merged to master. Let me merge this in branch-3.2 too - very trivial doc
change.
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Merged to master and branch-3.2.
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AngersZh commented on pull request #34139:
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ping @cloud-fan
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HyukjinKwon commented on a change in pull request #34113:
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##
@@ -1137,6 +1137,42 @@ def intersection(self, other: Union[DataFrame, Series,
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AngersZh commented on pull request #28872:
URL: https://github.com/apache/spark/pull/28872#issuecomment-929853320
@whcdjj I have start a new work on this, pls refer to
https://github.com/apache/spark/pull/34139
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AngersZh opened a new pull request #34139:
URL: https://github.com/apache/spark/pull/34139
### What changes were proposed in this pull request?
Current code just support dynamic partition pruning for DSV1 and DSV2, here
we support HiveTableScan
### Why are the changes
HyukjinKwon commented on pull request #34135:
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I'll leave it to @sarutak.
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itholic commented on a change in pull request #34113:
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cc @HyukjinKwon
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imback82 commented on a change in pull request #34137:
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# comparison operators
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HyukjinKwon commented on pull request #33980:
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cc @BryanCutler FYI
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dohongdayi commented on pull request #34127:
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@huaxingao Ok, Thanks
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imback82 opened a new pull request #34137:
URL: https://github.com/apache/spark/pull/34137
### What changes were proposed in this pull request?
This PR proposes to use V2 commands as default as outlined in
[SPARK-36588](https://issues.apache.org/jira/browse/SPARK-36588), and
HyukjinKwon commented on a change in pull request #34113:
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huaxingao commented on pull request #34127:
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no need to worry about K8S failure. As long as all the tests pass or `All
checks have passed`, you should be fine.
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dohongdayi edited a comment on pull request #34127:
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I don't think the K8S IT failure is related with this PR, it should be
caused by K8S cluster was unstable or lack of resource, so I'm trying to start
the test build
dohongdayi edited a comment on pull request #34127:
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I don't think the K8S IT failure is related with this PR, it should be
caused by K8S was unstable or lack of resource, so I'm trying to start the test
build again
dohongdayi edited a comment on pull request #34127:
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I don't think the K8S IT failure is related with this PR, it might be caused
by K8S was unstable or lack of resource, so I'm trying to start the test build
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I think the K8S IT failure was caused by K8S was unstable or lack of
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dohongdayi commented on pull request #34127:
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ok to test
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dohongdayi commented on pull request #34127:
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I think the K8S IT failure was caused by K8S was unstable or lack of
resource, so I'm trying to start the test build again.
ok to test
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itholic commented on a change in pull request #34113:
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File path: python/pyspark/pandas/indexes/multi.py
##
@@ -1137,6 +1137,43 @@ def intersection(self, other: Union[DataFrame, Series,
Index, List]) ->
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HyukjinKwon commented on pull request #34135:
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cc @MaxGekk too FYI
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HyukjinKwon commented on pull request #34135:
URL: https://github.com/apache/spark/pull/34135#issuecomment-929826783
@yoda-mon, FYI, there's a R linter failure going up globally that seems like
an issue from external server (e.g., CRAN). So feel free to ignore it for now.
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Kubernetes integration test status failure
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