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Ruifeng Zheng resolved SPARK-50869.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 49547
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Ruifeng Zheng resolved SPARK-50874.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 49553
[https://
Bobby Wang created SPARK-50884:
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Summary: Evaluator: support isLargerBetter on connect ML
Key: SPARK-50884
URL: https://issues.apache.org/jira/browse/SPARK-50884
Project: Spark
Issue Type: Sub-t
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ASF GitHub Bot updated SPARK-50855:
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Labels: pull-request-available (was: )
> Spark Connect Support for TransformWithState In Sc
Cuong Nguyen created SPARK-50883:
Summary: Support altering multiple columns in the same ALTER TABLE
command
Key: SPARK-50883
URL: https://issues.apache.org/jira/browse/SPARK-50883
Project: Spark
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ASF GitHub Bot updated SPARK-50882:
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Labels: pull-request-available (was: )
> Skip `TPCDSCollationQueryTestSuite.q22-v2.7` test
Dongjoon Hyun created SPARK-50882:
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Summary: Skip `TPCDSCollationQueryTestSuite.q22-v2.7` test in
GitHub Action CI
Key: SPARK-50882
URL: https://issues.apache.org/jira/browse/SPARK-50882
Project: Spar
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Dongjoon Hyun reassigned SPARK-50871:
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Assignee: Yang Jie
> Upgrade `scala-parallel-collections` to 1.2.0
> --
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Dongjoon Hyun resolved SPARK-50871.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 49548
[https://
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Dongjoon Hyun updated SPARK-50871:
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Parent: SPARK-47046
Issue Type: Sub-task (was: Improvement)
> Upgrade `scala-parallel
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ASF GitHub Bot updated SPARK-50883:
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Labels: pull-request-available (was: )
> Support altering multiple columns in the same ALTE
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Dongjoon Hyun updated SPARK-50453:
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Parent: SPARK-47046
Issue Type: Sub-task (was: Improvement)
> Upgrade Netty to 4.1.11
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ASF GitHub Bot updated SPARK-50856:
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Labels: pull-request-available (was: )
> Spark Connect Support for TransformWithStateInPand
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Cuong Nguyen updated SPARK-50883:
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Description:
Current ALTER TABLE ... ALTER COLUMN syntax only allows altering one column at
a t
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Jungtaek Lim resolved SPARK-50652.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 49275
[https://gi
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Jungtaek Lim reassigned SPARK-50652:
Assignee: Wei Liu
> RocksDB V2 backward compatibility currently not suuported
> -
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ASF GitHub Bot updated SPARK-50870:
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Labels: pull-request-available (was: )
> DataSourceV2 relations may contain unresolved cast
Kent Yao created SPARK-50872:
Summary: ToPrettyString expression make UI not pretty
Key: SPARK-50872
URL: https://issues.apache.org/jira/browse/SPARK-50872
Project: Spark
Issue Type: Bug
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Ruifeng Zheng resolved SPARK-50851.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 49529
[https://
Ruifeng Zheng created SPARK-50874:
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Summary: Support LinearRegression on connect
Key: SPARK-50874
URL: https://issues.apache.org/jira/browse/SPARK-50874
Project: Spark
Issue Type: Sub-task
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ASF GitHub Bot updated SPARK-50874:
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Labels: pull-request-available (was: )
> Support LinearRegression on connect
>
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ASF GitHub Bot reassigned SPARK-50793:
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Assignee: (was: Apache Spark)
> MySQL JDBC Connector failed to cast DOUBLE, LONGT
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ASF GitHub Bot reassigned SPARK-50793:
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Assignee: Apache Spark
> MySQL JDBC Connector failed to cast DOUBLE, LONGTEXT, BIGINT
Jiaan Geng created SPARK-50880:
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Summary: Add an new visitBinaryComparison method to
V2ExpressionSQLBuilder
Key: SPARK-50880
URL: https://issues.apache.org/jira/browse/SPARK-50880
Project: Spark
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Jiaan Geng updated SPARK-50880:
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Summary: Add a new visitBinaryComparison method to V2ExpressionSQLBuilder
(was: Add an new visitBin
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ASF GitHub Bot updated SPARK-50880:
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Labels: pull-request-available (was: )
> Add a new visitBinaryComparison method to V2Expres
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Wenchen Fan reassigned SPARK-50739:
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Assignee: Milan Cupac
> Changes in ResolveWithCTE.scala to have the analyzer grok recursive
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Wenchen Fan resolved SPARK-50739.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 49351
[https://gith
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ASF GitHub Bot updated SPARK-50869:
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Labels: pull-request-available (was: )
> Support evaluator
> -
>
>
Changgyoo Park created SPARK-50870:
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Summary: DataSourceV2 relations may contain unresolved cast
expressions after materializing current_timestamp()
Key: SPARK-50870
URL: https://issues.apache.org/jira/browse/SPA
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Yang Jie updated SPARK-50871:
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Priority: Minor (was: Major)
> Upgrade `scala-parallel-collections` to 1.2.0
>
Yang Jie created SPARK-50871:
Summary: Upgrade `scala-parallel-collections` to 1.2.0
Key: SPARK-50871
URL: https://issues.apache.org/jira/browse/SPARK-50871
Project: Spark
Issue Type: Improvement
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ASF GitHub Bot updated SPARK-50871:
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Labels: pull-request-available (was: )
> Upgrade `scala-parallel-collections` to 1.2.0
> --
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ASF GitHub Bot reassigned SPARK-50793:
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Assignee: (was: Apache Spark)
> MySQL JDBC Connector failed to cast DOUBLE, LONGT
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ASF GitHub Bot reassigned SPARK-50793:
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Assignee: Apache Spark
> MySQL JDBC Connector failed to cast DOUBLE, LONGTEXT, BIGINT
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ASF GitHub Bot reassigned SPARK-50869:
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Assignee: (was: Apache Spark)
> Support evaluator
> -
>
>
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ASF GitHub Bot reassigned SPARK-50869:
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Assignee: Apache Spark
> Support evaluator
> -
>
> Ke
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Milan Cupac updated SPARK-50838:
Description:
Add checkRecursion to check if all the rules about recursive queries are
fullfilled.
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KeKe Zhu updated SPARK-50873:
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Attachment: query16-org.PNG
> An optimization for SparkOptimizer to prune the column in subquery
> -
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KeKe Zhu updated SPARK-50873:
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Description:
I used Spark 3.5+iceberg 1.6.1 to run TPCDS test. When doing performance
analysis, I found
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ASF GitHub Bot updated SPARK-50872:
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Labels: pull-request-available (was: )
> ToPrettyString expression make UI not pretty
> ---
KeKe Zhu created SPARK-50873:
Summary: An optimization for SparkOptimizer to prune the column in
subquery
Key: SPARK-50873
URL: https://issues.apache.org/jira/browse/SPARK-50873
Project: Spark
I
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KeKe Zhu updated SPARK-50873:
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Description:
I used Spark 3.5+iceberg 1.6.1 to run TPCDS test. When doing performance
analysis, I found
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KeKe Zhu updated SPARK-50873:
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Attachment: query16-opt.PNG
> An optimization for SparkOptimizer to prune the column in subquery
> -
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KeKe Zhu updated SPARK-50873:
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Description:
I used Spark 3.5+iceberg 1.6.1 to run TPCDS test. When doing performance
analysis, I found
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KeKe Zhu updated SPARK-50873:
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Description:
I used Spark 3.5+iceberg 1.6.1 to run TPCDS test. When doing performance
analysis, I found
Ruifeng Zheng created SPARK-50877:
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Summary: Support KMeans & BisectingKMeans on Connect
Key: SPARK-50877
URL: https://issues.apache.org/jira/browse/SPARK-50877
Project: Spark
Issue Type: Sub
Ruifeng Zheng created SPARK-50878:
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Summary: Support ALS on Connect
Key: SPARK-50878
URL: https://issues.apache.org/jira/browse/SPARK-50878
Project: Spark
Issue Type: Sub-task
Compo
Ruifeng Zheng created SPARK-50879:
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Summary: Support feature scalers on Connect
Key: SPARK-50879
URL: https://issues.apache.org/jira/browse/SPARK-50879
Project: Spark
Issue Type: Sub-task
Stevo Mitric created SPARK-50875:
Summary: Add RTRIM collation to TVF
Key: SPARK-50875
URL: https://issues.apache.org/jira/browse/SPARK-50875
Project: Spark
Issue Type: Task
Compone
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Ruifeng Zheng updated SPARK-50876:
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Summary: Support Tree Regressors on Connect (was: Support Tree Regressor
on Connect)
> Suppo
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ASF GitHub Bot updated SPARK-50875:
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Labels: pull-request-available (was: )
> Add RTRIM collation to TVF
> -
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