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Kent Yao reassigned SPARK-48514:
Assignee: Bjørn Jørgensen
> Upgrade kubernetes-client to 6.13.0 for K8s v1.30.0
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Kent Yao resolved SPARK-48514.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 46854
[https://github.com
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Prabhu Joseph resolved SPARK-48517.
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Resolution: Invalid
Driver logs have correctly captured the error stream. Apologies for the
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Prabhu Joseph updated SPARK-48517:
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Description:
PythonWorkerFactory does not print the error stream in case the daemon fails
bef
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Prabhu Joseph updated SPARK-48517:
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Summary: PythonWorkerFactory does not print error stream in case the daemon
fails before the m
Prabhu Joseph created SPARK-48517:
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Summary: PythonWorkerFactory does not print error stream in case
the daemon fails before the main daemon.py#method
Key: SPARK-48517
URL: https://issues.apache.org/jira/browse/SP
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Hyukjin Kwon reassigned SPARK-48482:
Assignee: Wei Liu
> dropDuplicates and dropDuplicatesWithinWatermark should accept vararg
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Hyukjin Kwon resolved SPARK-48482.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 46817
[https://gi
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Hyukjin Kwon reassigned SPARK-48508:
Assignee: Ruifeng Zheng
> Client Side RPC optimization for Spark Connect
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Hyukjin Kwon resolved SPARK-48508.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 46848
[https://gi
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Wenchen Fan reassigned SPARK-47972:
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Assignee: Mihailo Milosevic
> Restrict CAST expression for collations
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Wenchen Fan resolved SPARK-47972.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 46474
[https://gith
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ASF GitHub Bot updated SPARK-48515:
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Labels: pull-request-available (was: )
> Enable Arrow optimization for Python UDFs
> --
Xinrong Meng created SPARK-48516:
Summary: Turn on Arrow optimization for Python UDFs by default
Key: SPARK-48516
URL: https://issues.apache.org/jira/browse/SPARK-48516
Project: Spark
Issue T
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ASF GitHub Bot updated SPARK-48513:
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Labels: pull-request-available (was: )
> Use NERF framework for state schema compatibility
Xinrong Meng created SPARK-48515:
Summary: Enable Arrow optimization for Python UDFs
Key: SPARK-48515
URL: https://issues.apache.org/jira/browse/SPARK-48515
Project: Spark
Issue Type: Umbrell
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ASF GitHub Bot updated SPARK-48514:
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Labels: pull-request-available (was: )
> Upgrade kubernetes-client to 6.13.0 for K8s v1.30.
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ASF GitHub Bot updated SPARK-42944:
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Labels: pull-request-available (was: )
> Support Python foreachBatch() in streaming spark c
Bjørn Jørgensen created SPARK-48514:
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Summary: Upgrade kubernetes-client to 6.13.0 for K8s v1.30.0
Key: SPARK-48514
URL: https://issues.apache.org/jira/browse/SPARK-48514
Project: Spark
Iss
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Wenchen Fan resolved SPARK-48413.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 46734
[https://gith
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Luca Canali commented on SPARK-48493:
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This work appears related https://issues.apac
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Gengliang Wang reassigned SPARK-47977:
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Assignee: Vitalii Li
> DateTimeUtils.timestampDiff and DateTimeUtils.timestampAdd sho
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Gengliang Wang resolved SPARK-47977.
Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 46210
[https:
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ASF GitHub Bot updated SPARK-48512:
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Labels: pull-request-available (was: )
> Refactor Python tests
> -
>
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Anish Shrigondekar created SPARK-48513:
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Summary: Use NERF framework for state schema compatibility
exception
Key: SPARK-48513
URL: https://issues.apache.org/jira/browse/SPARK-48513
Project: Spar
Rui Wang created SPARK-48512:
Summary: Refactor Python tests
Key: SPARK-48512
URL: https://issues.apache.org/jira/browse/SPARK-48512
Project: Spark
Issue Type: Sub-task
Components: PySp
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Wenchen Fan reassigned SPARK-48503:
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Assignee: Jack Chen
> Scalar subquery with group-by and non-equality predicate incorrectly
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Wenchen Fan resolved SPARK-48503.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 46839
[https://gith
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ASF GitHub Bot updated SPARK-38862:
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Labels: authentication pull-request-available rest spark spark-submit
submit (was: authenti
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ASF GitHub Bot updated SPARK-48511:
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Labels: pull-request-available (was: )
> [Arbitrary State Support] Remove TimeMode None
> -
Bhuwan Sahni created SPARK-48511:
Summary: [Arbitrary State Support] Remove TimeMode None
Key: SPARK-48511
URL: https://issues.apache.org/jira/browse/SPARK-48511
Project: Spark
Issue Type: Im
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Julien Peloton updated SPARK-48492:
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Issue Type: Bug (was: New Feature)
> batch-read parquet files written by streaming returns
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ASF GitHub Bot updated SPARK-48510:
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Labels: pull-request-available (was: )
> Support UDAF.toColumn API in Spark Connect
> -
Pengfei Xu created SPARK-48510:
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Summary: Support UDAF.toColumn API in Spark Connect
Key: SPARK-48510
URL: https://issues.apache.org/jira/browse/SPARK-48510
Project: Spark
Issue Type: New Featur
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ASF GitHub Bot updated SPARK-48508:
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Labels: pull-request-available (was: )
> Client Side RPC optimization for Spark Connect
> -
Ruifeng Zheng created SPARK-48509:
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Summary: Cache user specified schema in DataFrame.{to,
mapInPandas, mapInArrow}
Key: SPARK-48509
URL: https://issues.apache.org/jira/browse/SPARK-48509
Project: Spa
Ruifeng Zheng created SPARK-48508:
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Summary: Client Side RPC optimization for Spark Connect
Key: SPARK-48508
URL: https://issues.apache.org/jira/browse/SPARK-48508
Project: Spark
Issue Type:
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Ruifeng Zheng updated SPARK-48508:
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Issue Type: Umbrella (was: Improvement)
> Client Side RPC optimization for Spark Connect
> --
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ASF GitHub Bot reassigned SPARK-47690:
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Assignee: Apache Spark
> Hash aggregate support for strings with collation
>
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ASF GitHub Bot reassigned SPARK-47690:
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Assignee: (was: Apache Spark)
> Hash aggregate support for strings with collation
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ASF GitHub Bot reassigned SPARK-47690:
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Assignee: (was: Apache Spark)
> Hash aggregate support for strings with collation
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ASF GitHub Bot reassigned SPARK-47690:
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Assignee: Apache Spark
> Hash aggregate support for strings with collation
>
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ASF GitHub Bot reassigned SPARK-47690:
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Assignee: Apache Spark
> Hash aggregate support for strings with collation
>
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ASF GitHub Bot reassigned SPARK-47690:
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Assignee: (was: Apache Spark)
> Hash aggregate support for strings with collation
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Hyukjin Kwon resolved SPARK-48507.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 46846
[https://gi
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Hyukjin Kwon reassigned SPARK-48507:
Assignee: BingKun Pan
> Use Hadoop 3.3.6 winutils in `build_sparkr_window`
>
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Hyukjin Kwon reassigned SPARK-48504:
Assignee: Ruifeng Zheng
> Parent Window class for Spark Connect and Spark Classic
> -
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Hyukjin Kwon resolved SPARK-48504.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 46841
[https://gi
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ASF GitHub Bot updated SPARK-48506:
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Labels: pull-request-available (was: )
> Compression codec short names are case insensitive
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ASF GitHub Bot updated SPARK-48507:
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Labels: pull-request-available (was: )
> Use Hadoop 3.3.6 winutils in `build_sparkr_window`
BingKun Pan created SPARK-48507:
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Summary: Use Hadoop 3.3.6 winutils in `build_sparkr_window`
Key: SPARK-48507
URL: https://issues.apache.org/jira/browse/SPARK-48507
Project: Spark
Issue Type:
Kent Yao created SPARK-48506:
Summary: Compression codec short names are case insensitive expect
for event logging
Key: SPARK-48506
URL: https://issues.apache.org/jira/browse/SPARK-48506
Project: Spark
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