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jiaan.geng resolved SPARK-36633.
Resolution: Duplicate
> DivideDTInterval should throw the same exception when divide by zero.
> --
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Apache Spark commented on SPARK-36660:
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User 'yutoacts' has created a pull request
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jiaan.geng updated SPARK-36632:
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Summary: DivideYMInterval and DivideDTInterval should throw the same
exception when divide by zero.
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Apache Spark reassigned SPARK-36660:
Assignee: (was: Apache Spark)
> Cotangent is not supported by Dataframe
> ---
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Apache Spark reassigned SPARK-36660:
Assignee: Apache Spark
> Cotangent is not supported by Dataframe
> --
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Apache Spark commented on SPARK-36660:
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User 'yutoacts' has created a pull request
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Yuto Akutsu updated SPARK-36660:
Priority: Minor (was: Major)
> Cotangent is not supported by Dataframe
>
Hyukjin Kwon created SPARK-36661:
Summary: Support TimestampNTZ in PyArrow
Key: SPARK-36661
URL: https://issues.apache.org/jira/browse/SPARK-36661
Project: Spark
Issue Type: Sub-task
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Hyukjin Kwon updated SPARK-36661:
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Summary: Support TimestampNTZ in Py4J (was: Support TimestampNTZ in
PyArrow)
> Support Timesta
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Yuto Akutsu updated SPARK-36660:
Description: Cotangent is implemented in mathExpressions but cannot be
called by dataframe operati
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Yuto Akutsu updated SPARK-36660:
Description: Cotangent is implemented in mathExpressions but cannot be
called by dataframe operati
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Yuto Akutsu updated SPARK-36660:
Description: Cotangent is implemented in mathExpressions but cannot be
called by dataframe operati
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Yuto Akutsu updated SPARK-36660:
Description: Cotangent is implemented in mathExpressions but cannot be
called by dataframe operati
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Apache Spark reassigned SPARK-36658:
Assignee: Apache Spark
> Expose executionId to QueryExecutionListener
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Apache Spark reassigned SPARK-36658:
Assignee: (was: Apache Spark)
> Expose executionId to QueryExecutionListener
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Apache Spark commented on SPARK-36658:
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User 'ivoson' has created a pull request fo
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Yuto Akutsu updated SPARK-36660:
Description: Cotangent is implemented in ^mathExpressions^ but cannot be
called by dataframe opera
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Yuto Akutsu updated SPARK-36660:
Description: Cotangent is implemented in mathExpressions but cannot be
called by dataframe operati
Yuto Akutsu created SPARK-36660:
---
Summary: Cotangent is not supported by Dataframe
Key: SPARK-36660
URL: https://issues.apache.org/jira/browse/SPARK-36660
Project: Spark
Issue Type: Bug
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Apache Spark commented on SPARK-36659:
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User 'yaooqinn' has created a pull request
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Apache Spark reassigned SPARK-36659:
Assignee: Apache Spark
> Promote spark.sql.execution.topKSortFallbackThreshold to user-fa
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Apache Spark reassigned SPARK-36659:
Assignee: (was: Apache Spark)
> Promote spark.sql.execution.topKSortFallbackThreshold
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Apache Spark commented on SPARK-36659:
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User 'yaooqinn' has created a pull request
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Dongjoon Hyun resolved SPARK-36652.
---
Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 33899
[https://
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Dongjoon Hyun reassigned SPARK-36652:
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Assignee: Cheng Su
> AQE dynamic join selection should not apply to non-equi join
> ---
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jiaan.geng updated SPARK-36633:
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Summary: DivideDTInterval should throw the same exception when divide by
zero. (was: DivideDTInterv
Kent Yao created SPARK-36659:
Summary: Promote spark.sql.execution.topKSortFallbackThreshold to
user-faced config
Key: SPARK-36659
URL: https://issues.apache.org/jira/browse/SPARK-36659
Project: Spark
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Hyukjin Kwon resolved SPARK-36650.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 33897
[https://gi
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Hyukjin Kwon reassigned SPARK-36650:
Assignee: angerszhu
> ApplicationMaster shutdown hook should catch timeout exception
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huangtengfei edited comment on SPARK-36658 at 9/3/21, 2:36 AM:
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huangtengfei commented on SPARK-36658:
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Will create a RP for this.
> Expose execut
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Hyukjin Kwon commented on SPARK-36635:
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can you justify why it should work? is it A
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weixiuli commented on SPARK-36635:
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It didn't work before either.
> spark-sql do NOT s
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L. C. Hsieh resolved SPARK-36351.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 33650
[https://gith
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L. C. Hsieh reassigned SPARK-36351:
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Assignee: Huaxin Gao
> Separate partition filters and data filters in PushDownUtils
> -
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huangtengfei updated SPARK-36658:
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Description:
Now in
[QueryExecutionListener|https://github.com/apache/spark/blob/v3.2.0-rc2/sql
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huangtengfei commented on SPARK-36658:
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cc [~cloud_fan] could you share any thought
huangtengfei created SPARK-36658:
Summary: Expose executionId to QueryExecutionListener
Key: SPARK-36658
URL: https://issues.apache.org/jira/browse/SPARK-36658
Project: Spark
Issue Type: Impr
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Dongjoon Hyun updated SPARK-36657:
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Affects Version/s: 3.2.0
> Update comment in `gen-sql-config-docs.py`
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Dongjoon Hyun reassigned SPARK-36657:
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Assignee: William Hyun
> Update comment in `gen-sql-config-docs.py`
> -
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Dongjoon Hyun resolved SPARK-36657.
---
Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33902
[https://
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Apache Spark commented on SPARK-36656:
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User 'allisonwang-db' has created a pull re
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Apache Spark commented on SPARK-36657:
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User 'williamhyun' has created a pull reque
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Apache Spark commented on SPARK-36656:
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User 'allisonwang-db' has created a pull re
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Apache Spark reassigned SPARK-36656:
Assignee: Apache Spark
> CollapseProject should not collapse correlated scalar subqueries
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Apache Spark reassigned SPARK-36656:
Assignee: (was: Apache Spark)
> CollapseProject should not collapse correlated scalar
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Apache Spark reassigned SPARK-36657:
Assignee: (was: Apache Spark)
> Update comment in `gen-sql-config-docs.py`
>
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Apache Spark commented on SPARK-36657:
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User 'williamhyun' has created a pull reque
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Apache Spark reassigned SPARK-36657:
Assignee: Apache Spark
> Update comment in `gen-sql-config-docs.py`
> ---
William Hyun created SPARK-36657:
Summary: Update comment in `gen-sql-config-docs.py`
Key: SPARK-36657
URL: https://issues.apache.org/jira/browse/SPARK-36657
Project: Spark
Issue Type: Task
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Allison Wang updated SPARK-36656:
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Description:
Currently, the optimizer rule `CollapseProject` inlines expressions generated
from
Allison Wang created SPARK-36656:
Summary: CollapseProject should not collapse correlated scalar
subqueries
Key: SPARK-36656
URL: https://issues.apache.org/jira/browse/SPARK-36656
Project: Spark
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Apache Spark reassigned SPARK-36655:
Assignee: Apache Spark
> Add `versionadded` for API added in Spark 3.3.0
> --
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Apache Spark reassigned SPARK-36655:
Assignee: (was: Apache Spark)
> Add `versionadded` for API added in Spark 3.3.0
> ---
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Apache Spark commented on SPARK-36655:
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User 'xinrong-databricks' has created a pul
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Apache Spark reassigned SPARK-36654:
Assignee: (was: Apache Spark)
> Drop type ignores from numpy imports
> --
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Apache Spark reassigned SPARK-36654:
Assignee: Apache Spark
> Drop type ignores from numpy imports
> -
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Apache Spark commented on SPARK-36654:
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User 'zero323' has created a pull request f
Xinrong Meng created SPARK-36655:
Summary: Add `versionadded` for API added in Spark 3.3.0
Key: SPARK-36655
URL: https://issues.apache.org/jira/browse/SPARK-36655
Project: Spark
Issue Type: S
Maciej Szymkiewicz created SPARK-36654:
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Summary: Drop type ignores from numpy imports
Key: SPARK-36654
URL: https://issues.apache.org/jira/browse/SPARK-36654
Project: Spark
Issue Type:
Takuya Ueshin created SPARK-36653:
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Summary: Implement Series.__xor__
Key: SPARK-36653
URL: https://issues.apache.org/jira/browse/SPARK-36653
Project: Spark
Issue Type: Sub-task
Com
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Cheng Su updated SPARK-36652:
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Affects Version/s: (was: 3.2.0)
> AQE dynamic join selection should not apply to non-equi join
> ---
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Dongjoon Hyun commented on SPARK-36443:
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Thank you for the details.
> Demote Broa
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Dongjoon Hyun updated SPARK-36652:
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Parent: SPARK-33828
Issue Type: Sub-task (was: Bug)
> AQE dynamic join selection shou
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Maciej Szymkiewicz reassigned SPARK-36617:
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Assignee: Cary Lee
> Inconsistencies in approxQuantile annotations
>
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Apache Spark reassigned SPARK-36652:
Assignee: (was: Apache Spark)
> AQE dynamic join selection should not apply to non-eq
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Apache Spark reassigned SPARK-36652:
Assignee: Apache Spark
> AQE dynamic join selection should not apply to non-equi join
> -
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Apache Spark commented on SPARK-36652:
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User 'c21' has created a pull request for t
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gaoyajun02 updated SPARK-36630:
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Parent: (was: SPARK-33828)
Issue Type: Question (was: Sub-task)
> Add the option to use
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gaoyajun02 updated SPARK-36630:
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Comment: was deleted
(was: close it)
> Add the option to use physical statistics to avoid large tab
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gaoyajun02 closed SPARK-36630.
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close it
> Add the option to use physical statistics to avoid large tables being
> broadcast
> -
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gaoyajun02 resolved SPARK-36630.
Resolution: Fixed
> Add the option to use physical statistics to avoid large tables being
> broad
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gaoyajun02 commented on SPARK-36630:
Found my issue is similar to https://issues.apa
Cheng Su created SPARK-36652:
Summary: AQE dynamic join selection should not apply to non-equi
join
Key: SPARK-36652
URL: https://issues.apache.org/jira/browse/SPARK-36652
Project: Spark
Issue T
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Wenchen Fan reassigned SPARK-36637:
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Assignee: angerszhu
> Bad error message when using non-existing named window
>
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Wenchen Fan resolved SPARK-36637.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33892
[https://gith
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Maciej Szymkiewicz resolved SPARK-36617.
Fix Version/s: 3.1.3
3.2.0
Resolution: Resolved
Issue re
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Thomas Graves commented on SPARK-36622:
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Supported _HOST for SHS likely makes sens
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Senthil Kumar edited comment on SPARK-35623 at 9/2/21, 11:56 AM:
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Senthil Kumar commented on SPARK-35623:
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[~dipanjanK] Include me too pls
> Volcan
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jiaan.geng updated SPARK-36632:
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Summary: DivideYMInterval should throw the same exception when divide by
zero. (was: DivideYMInterv
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Samuel Souza updated SPARK-36627:
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Description:
In JavaSerializer.JavaDeserializationStream we override resolveClass of
ObjectInpu
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Samuel Souza updated SPARK-36627:
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Summary: Tasks with Java proxy objects fail to deserialize (was: Tasks
with Java proxy objects
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Apache Spark reassigned SPARK-36644:
Assignee: Apache Spark
> Push down boolean column filter
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Apache Spark commented on SPARK-36644:
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User 'kazuyukitanimura' has created a pull
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Apache Spark reassigned SPARK-36644:
Assignee: (was: Apache Spark)
> Push down boolean column filter
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gaoyajun02 updated SPARK-36630:
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Parent: SPARK-33828
Issue Type: Sub-task (was: Improvement)
> Add the option to use physica
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Serge Shikov updated SPARK-36651:
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Description:
This is still reproducible in Spark 2.4.5. Original issue SPARK-25080 conains
step
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Serge Shikov updated SPARK-36651:
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Issue Type: Bug (was: Improvement)
> NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110)
> -
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Serge Shikov updated SPARK-36651:
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Priority: Major (was: Minor)
> NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110)
> ---
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Serge Shikov updated SPARK-36651:
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Description:
This is still reproducible in Spark 2.4.5. Original issue conains steps to
reprodu
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Serge Shikov updated SPARK-36651:
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Affects Version/s: (was: 2.3.1)
2.4.5
> NPE in HiveShim$.toCatalystDe
Serge Shikov created SPARK-36651:
Summary: NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110)
Key: SPARK-36651
URL: https://issues.apache.org/jira/browse/SPARK-36651
Project: Spark
Issue
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Apache Spark commented on SPARK-36650:
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User 'AngersZh' has created a pull requ
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Apache Spark reassigned SPARK-36650:
Assignee: (was: Apache Spark)
> ApplicationMaster shutdown hook should catch timeout
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Apache Spark reassigned SPARK-36650:
Assignee: Apache Spark
> ApplicationMaster shutdown hook should catch timeout exception
>
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