[GitHub] [spark] maropu commented on issue #26646: [SPARK-30005][INFRA] Update `test-dependencies.sh` to check `hive-1.2/2.3` profile

maropu commented on issue #26646: [SPARK-30005][INFRA] Update `test-dependencies.sh` to check `hive-1.2/2.3` profile URL: https://github.com/apache/spark/pull/26646#issuecomment-560913408 Ur, I missed ping... sorry. late LGTM.

[GitHub] [spark] shaneknapp commented on issue #26586: [SPARK-29950][k8s] Blacklist deleted executors in K8S with dynamic allocation.

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[GitHub] [spark] viirya commented on a change in pull request #26722: [SPARK-24666][ML] Fix infinity vectors produced by Word2Vec when numIterations are large

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[GitHub] [spark] beliefer commented on issue #26656: [SPARK-27986][SQL] Support ANSI SQL filter clause for aggregate expression

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[GitHub] [spark] HeartSaVioR commented on a change in pull request #26740: [SPARK-30053][SQL] Add the ability for v2 datasource so specify a vacuum action on the table

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[GitHub] [spark] SparkQA commented on issue #26742: [SPARK-30051][BUILD][test-hadoop3.2] Clean up hadoop-3.2 dependency

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[GitHub] [spark] deshanxiao commented on issue #26714: [SPARK-25100][CORE] Fix no registering TaskCommitMessage bug

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[GitHub] [spark] SparkQA commented on issue #26590: [SPARK-29953][SS] Don't clean up source files for FileStreamSource if the files belong to the output of FileStreamSink

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[GitHub] [spark] dongjoon-hyun commented on issue #26742: [SPARK-30051][BUILD] Clean up hadoop-3.2 dependency

dongjoon-hyun commented on issue #26742: [SPARK-30051][BUILD] Clean up hadoop-3.2 dependency URL: https://github.com/apache/spark/pull/26742#issuecomment-560993217 Hi, @srowen and @HyukjinKwon . Could you review this PR?

[GitHub] [spark] SparkQA removed a comment on issue #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

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[GitHub] [spark] cloud-fan commented on a change in pull request #26716: [SPARK-30083][SQL] visitArithmeticUnary should wrap PLUS case with UnaryPositive for type checking

cloud-fan commented on a change in pull request #26716: [SPARK-30083][SQL] visitArithmeticUnary should wrap PLUS case with UnaryPositive for type checking URL: https://github.com/apache/spark/pull/26716#discussion_r35386 ## File path:

[GitHub] [spark] cloud-fan commented on issue #26696: [WIP][SPARK-18886][CORE] Only reset scheduling delay timer if allocated slots are fully utilized

cloud-fan commented on issue #26696: [WIP][SPARK-18886][CORE] Only reset scheduling delay timer if allocated slots are fully utilized URL: https://github.com/apache/spark/pull/26696#issuecomment-561039532 Sufficient discussions are needed for this problem. AFAIK, the issue of delay

[GitHub] [spark] AndrewKL commented on issue #26740: [SPARK-30053][SQL] Add the ability for v2 datasource so specify a vacuum action on the table

AndrewKL commented on issue #26740: [SPARK-30053][SQL] Add the ability for v2 datasource so specify a vacuum action on the table URL: https://github.com/apache/spark/pull/26740#issuecomment-560939075 > * I read through the JIRA issue and see VACUUM is being supported for some systems. But

[GitHub] [spark] SparkQA commented on issue #26127: [SPARK-29348][SQL] Add observable Metrics for Streaming queries

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[GitHub] [spark] HyukjinKwon commented on issue #26740: [SPARK-30053][SQL] Add the ability for v2 datasource so specify a vacuum action on the table

HyukjinKwon commented on issue #26740: [SPARK-30053][SQL] Add the ability for v2 datasource so specify a vacuum action on the table URL: https://github.com/apache/spark/pull/26740#issuecomment-560952931 I copied and pasted the references mentioned in the JIRA into this PR description.

[GitHub] [spark] zhengruifeng closed pull request #26679: [SPARK-30044][ML] MNB/CNB/BNB use empty sigma matrix instead of null

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[GitHub] [spark] zhengruifeng commented on issue #26679: [SPARK-30044][ML] MNB/CNB/BNB use empty sigma matrix instead of null

zhengruifeng commented on issue #26679: [SPARK-30044][ML] MNB/CNB/BNB use empty sigma matrix instead of null URL: https://github.com/apache/spark/pull/26679#issuecomment-560964613 Merged to master, thanks @srowen for reviewing!

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[GitHub] [spark] yaooqinn commented on a change in pull request #26412: [SPARK-29774][SQL] Date and Timestamp type +/- null should be null as Postgres

yaooqinn commented on a change in pull request #26412: [SPARK-29774][SQL] Date and Timestamp type +/- null should be null as Postgres URL: https://github.com/apache/spark/pull/26412#discussion_r352963519 ## File path:

[GitHub] [spark] AmplabJenkins removed a comment on issue #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

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[GitHub] [spark] AmplabJenkins commented on issue #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

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[GitHub] [spark] AmplabJenkins commented on issue #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

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[GitHub] [spark] AmplabJenkins commented on issue #26741: [SPARK-30104][SQL] Fix catalog resolution for 'global_temp'

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[GitHub] [spark] AmplabJenkins commented on issue #26741: [SPARK-30104][SQL] Fix catalog resolution for 'global_temp'

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[GitHub] [spark] imback82 commented on issue #26741: [SPARK-30104][SQL] Fix catalog resolution for 'global_temp'

imback82 commented on issue #26741: [SPARK-30104][SQL] Fix catalog resolution for 'global_temp' URL: https://github.com/apache/spark/pull/26741#issuecomment-560981986 cc: @cloud-fan This is an automated message from the

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[GitHub] [spark] zhengruifeng edited a comment on issue #26735: [SPARK-30102][ML][PYSPARK] GMM supports instance weighting

zhengruifeng edited a comment on issue #26735: [SPARK-30102][ML][PYSPARK] GMM supports instance weighting URL: https://github.com/apache/spark/pull/26735#issuecomment-560981773 There seems something wrong in the py doctests. 1, I manually test some scala cases/examples between 2.4.4 and

[GitHub] [spark] zhengruifeng commented on issue #26735: [SPARK-30102][ML][PYSPARK] GMM supports instance weighting

zhengruifeng commented on issue #26735: [SPARK-30102][ML][PYSPARK] GMM supports instance weighting URL: https://github.com/apache/spark/pull/26735#issuecomment-560981773 There seems something wrong in the py doctests. 1, I manually test some scala cases/examples between 2.4.4 and this

[GitHub] [spark] dongjoon-hyun commented on issue #26738: [SPARK-30082][SQL] Do not replace Zeros when replacing NaNs

dongjoon-hyun commented on issue #26738: [SPARK-30082][SQL] Do not replace Zeros when replacing NaNs URL: https://github.com/apache/spark/pull/26738#issuecomment-560995938 Thank you for pinging me, @mccheah . Sure. This is

[GitHub] [spark] gengliangwang commented on a change in pull request #26412: [SPARK-29774][SQL] Date and Timestamp type +/- null should be null as Postgres

gengliangwang commented on a change in pull request #26412: [SPARK-29774][SQL] Date and Timestamp type +/- null should be null as Postgres URL: https://github.com/apache/spark/pull/26412#discussion_r352993670 ## File path:

[GitHub] [spark] cloud-fan commented on a change in pull request #26412: [SPARK-29774][SQL] Date and Timestamp type +/- null should be null as Postgres

cloud-fan commented on a change in pull request #26412: [SPARK-29774][SQL] Date and Timestamp type +/- null should be null as Postgres URL: https://github.com/apache/spark/pull/26412#discussion_r352998814 ## File path:

[GitHub] [spark] cloud-fan commented on a change in pull request #26412: [SPARK-29774][SQL] Date and Timestamp type +/- null should be null as Postgres

cloud-fan commented on a change in pull request #26412: [SPARK-29774][SQL] Date and Timestamp type +/- null should be null as Postgres URL: https://github.com/apache/spark/pull/26412#discussion_r352998689 ## File path:

[GitHub] [spark] dongjoon-hyun commented on a change in pull request #26738: [SPARK-30082][SQL] Do not replace Zeros when replacing NaNs

dongjoon-hyun commented on a change in pull request #26738: [SPARK-30082][SQL] Do not replace Zeros when replacing NaNs URL: https://github.com/apache/spark/pull/26738#discussion_r353013375 ## File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameNaFunctions.scala

[GitHub] [spark] yakoterry opened a new pull request #26743: Merge pull request #1 from apache/master

yakoterry opened a new pull request #26743: Merge pull request #1 from apache/master URL: https://github.com/apache/spark/pull/26743 merge with pull request ### What changes were proposed in this pull request? ### Why are the changes needed? ###

[GitHub] [spark] SparkQA commented on issue #26590: [SPARK-29953][SS] Don't clean up source files for FileStreamSource if the files belong to the output of FileStreamSink

SparkQA commented on issue #26590: [SPARK-29953][SS] Don't clean up source files for FileStreamSource if the files belong to the output of FileStreamSink URL: https://github.com/apache/spark/pull/26590#issuecomment-560921097 **[Test build #114742 has

[GitHub] [spark] AmplabJenkins commented on issue #26742: [SPARK-30051][BUILD][test-hadoop3.2] Clean up hadoop-3.2 dependency

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[GitHub] [spark] AmplabJenkins commented on issue #26742: [SPARK-30051][BUILD][test-hadoop3.2] Clean up hadoop-3.2 dependency

AmplabJenkins commented on issue #26742: [SPARK-30051][BUILD][test-hadoop3.2] Clean up hadoop-3.2 dependency URL: https://github.com/apache/spark/pull/26742#issuecomment-560941479 Merged build finished. Test PASSed. This is

[GitHub] [spark] dongjoon-hyun commented on issue #26713: [SPARK-30079][BUILD] set locale en_US in pom.xml for tests

dongjoon-hyun commented on issue #26713: [SPARK-30079][BUILD] set locale en_US in pom.xml for tests URL: https://github.com/apache/spark/pull/26713#issuecomment-560945492 +1 for @srowen 's advice. We should not force to use `en_US` as a default locale.

[GitHub] [spark] srowen commented on a change in pull request #26722: [SPARK-24666][ML] Fix infinity vectors produced by Word2Vec when numIterations are large

srowen commented on a change in pull request #26722: [SPARK-24666][ML] Fix infinity vectors produced by Word2Vec when numIterations are large URL: https://github.com/apache/spark/pull/26722#discussion_r352933894 ## File path:

[GitHub] [spark] srowen commented on a change in pull request #26722: [SPARK-24666][ML] Fix infinity vectors produced by Word2Vec when numIterations are large

srowen commented on a change in pull request #26722: [SPARK-24666][ML] Fix infinity vectors produced by Word2Vec when numIterations are large URL: https://github.com/apache/spark/pull/26722#discussion_r352933894 ## File path:

[GitHub] [spark] AmplabJenkins removed a comment on issue #26722: [SPARK-24666][ML] Fix infinity vectors produced by Word2Vec when numIterations are large

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[GitHub] [spark] AmplabJenkins commented on issue #26684: [SPARK-30001][SQL] ResolveRelations should handle both V1 and V2 tables.

AmplabJenkins commented on issue #26684: [SPARK-30001][SQL] ResolveRelations should handle both V1 and V2 tables. URL: https://github.com/apache/spark/pull/26684#issuecomment-560950466 Merged build finished. Test PASSed.

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[GitHub] [spark] AmplabJenkins commented on issue #26684: [SPARK-30001][SQL] ResolveRelations should handle both V1 and V2 tables.

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[GitHub] [spark] SparkQA commented on issue #26684: [SPARK-30001][SQL] ResolveRelations should handle both V1 and V2 tables.

SparkQA commented on issue #26684: [SPARK-30001][SQL] ResolveRelations should handle both V1 and V2 tables. URL: https://github.com/apache/spark/pull/26684#issuecomment-560950068 **[Test build #114747 has

[GitHub] [spark] AmplabJenkins commented on issue #26722: [SPARK-24666][ML] Fix infinity vectors produced by Word2Vec when numIterations are large

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