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ASF GitHub Bot updated SPARK-46708:
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Labels: pull-request-available (was: )
> Support error message format in Spark Connect serv
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Kent Yao resolved SPARK-46754.
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Fix Version/s: 4.0.0
Assignee: Kent Yao
Resolution: Fixed
resolved by [GitHub Pull Re
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Mridul Muralidharan reassigned SPARK-46696:
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Assignee: liangyongyuan
> In ResourceProfileManager, function calls should
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Mridul Muralidharan resolved SPARK-46696.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 447
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Mridul Muralidharan resolved SPARK-46623.
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Fix Version/s: 4.0.0
Assignee: Jiaan Geng
Resolution: Fixed
> Re
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Mridul Muralidharan commented on SPARK-46623:
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Issue resolved by pull reques
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ASF GitHub Bot reassigned SPARK-39910:
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Assignee: (was: Apache Spark)
> DataFrameReader API cannot read files from hadoop
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ASF GitHub Bot reassigned SPARK-39910:
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Assignee: Apache Spark
> DataFrameReader API cannot read files from hadoop archives (
Kent Yao created SPARK-46759:
Summary: Codec xz and zstandard support compression level for avro
files
Key: SPARK-46759
URL: https://issues.apache.org/jira/browse/SPARK-46759
Project: Spark
Issu
Jiaan Geng created SPARK-46760:
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Summary: Make the document of
spark.sql.adaptive.coalescePartitions.parallelismFirst clearer
Key: SPARK-46760
URL: https://issues.apache.org/jira/browse/SPARK-46760
Proje
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ASF GitHub Bot updated SPARK-46760:
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Labels: pull-request-available (was: )
> Make the document of spark.sql.adaptive.coalescePa
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ASF GitHub Bot updated SPARK-46759:
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Labels: pull-request-available (was: )
> Codec xz and zstandard support compression level f
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Steve Loughran commented on SPARK-46247:
why is the file invalid? any more stack
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Никита Соколов commented on SPARK-46247:
No, there was no trailing dot at the en
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Dongjoon Hyun reassigned SPARK-46759:
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Assignee: Kent Yao
> Codec xz and zstandard support compression level for avro files
>
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Dongjoon Hyun resolved SPARK-46759.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 44786
[https://
Robert Joseph Evans created SPARK-46761:
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Summary: quoted strings in a JSON path should support ? characters
Key: SPARK-46761
URL: https://issues.apache.org/jira/browse/SPARK-46761
Project: Spark
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nirav patel updated SPARK-46762:
Description:
*Affected version:*
spark 3.5 and spark-connect_2.12:3.5.0
*Not affected version
nirav patel created SPARK-46762:
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Summary: Spark Connect 3.5 Classloading issue
Key: SPARK-46762
URL: https://issues.apache.org/jira/browse/SPARK-46762
Project: Spark
Issue Type: Bug
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nirav patel updated SPARK-46762:
Description:
*Affected version:*
spark 3.5 and spark-connect_2.12:3.5.0
*Not affected version
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Rob Russo commented on SPARK-45282:
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Is it possible that this also affects spark 3.3.2
Nikhil Sheoran created SPARK-46763:
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Summary: ReplaceDeduplicateWithAggregate fails when non-grouping
keys have duplicate attributes
Key: SPARK-46763
URL: https://issues.apache.org/jira/browse/SPARK-46763
Nicholas Chammas created SPARK-46764:
Summary: Reorganize Ruby script to build API docs
Key: SPARK-46764
URL: https://issues.apache.org/jira/browse/SPARK-46764
Project: Spark
Issue Type:
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ASF GitHub Bot updated SPARK-46764:
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Labels: pull-request-available (was: )
> Reorganize Ruby script to build API docs
> ---
Ruifeng Zheng created SPARK-46765:
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Summary: make `shuffle` specify the datatype of `seed`
Key: SPARK-46765
URL: https://issues.apache.org/jira/browse/SPARK-46765
Project: Spark
Issue Type: I
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Jungtaek Lim resolved SPARK-46676.
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Fix Version/s: 3.5.1
4.0.0
Resolution: Fixed
Issue resolved by pull
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Jungtaek Lim reassigned SPARK-46676:
Assignee: Jungtaek Lim
> dropDuplicatesWithinWatermark throws error on canonicalizing pla
Kent Yao created SPARK-46766:
Summary: ZSTD Buffer Pool Support For AVRO datasource
Key: SPARK-46766
URL: https://issues.apache.org/jira/browse/SPARK-46766
Project: Spark
Issue Type: Improvement
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ASF GitHub Bot updated SPARK-46766:
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Labels: pull-request-available (was: )
> ZSTD Buffer Pool Support For AVRO datasource
> ---
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Ruifeng Zheng updated SPARK-46765:
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Summary: Support upcasting for unregistered functions (was: make `shuffle`
specify the dataty
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Ruifeng Zheng updated SPARK-46765:
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Priority: Major (was: Minor)
> Support upcasting for unregistered functions
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Ruifeng Zheng updated SPARK-46765:
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Summary: make `shuffle` specify the datatype of `seed` (was: Support
upcasting for unregister
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ASF GitHub Bot updated SPARK-46765:
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Labels: pull-request-available (was: )
> make `shuffle` specify the datatype of `seed`
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Yang Jie created SPARK-46767:
Summary: Refine docstring of `abs/acos/acosh`
Key: SPARK-46767
URL: https://issues.apache.org/jira/browse/SPARK-46767
Project: Spark
Issue Type: Sub-task
C
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ASF GitHub Bot updated SPARK-46767:
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Labels: pull-request-available (was: )
> Refine docstring of `abs/acos/acosh`
> ---
Yang Jie created SPARK-46768:
Summary: Upgrade the Guava version used by the connect module to
33.0-jre
Key: SPARK-46768
URL: https://issues.apache.org/jira/browse/SPARK-46768
Project: Spark
Iss
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ASF GitHub Bot updated SPARK-46768:
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Labels: pull-request-available (was: )
> Upgrade the Guava version used by the connect modu
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Ruifeng Zheng reassigned SPARK-46765:
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Assignee: Ruifeng Zheng
> make `shuffle` specify the datatype of `seed`
> -
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Ruifeng Zheng resolved SPARK-46765.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 44793
[https://
Max Gekk created SPARK-46769:
Summary: Fix inferring of TIMESTAMP_NTZ in CSV/JSON
Key: SPARK-46769
URL: https://issues.apache.org/jira/browse/SPARK-46769
Project: Spark
Issue Type: Bug
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ASF GitHub Bot updated SPARK-46769:
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Labels: pull-request-available (was: )
> Fix inferring of TIMESTAMP_NTZ in CSV/JSON
> -
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