[jira] [Assigned] (SPARK-47858) Refactoring the structure for DataFrame error context

2024-04-18 Thread Hyukjin Kwon (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-47858?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon reassigned SPARK-47858:


Assignee: Haejoon Lee

> Refactoring the structure for DataFrame error context
> -
>
> Key: SPARK-47858
> URL: https://issues.apache.org/jira/browse/SPARK-47858
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark
>Affects Versions: 4.0.0
>Reporter: Haejoon Lee
>Assignee: Haejoon Lee
>Priority: Major
>  Labels: pull-request-available
>
> The current implementation for PySpark DataFrame error context could be more 
> flexible by addressing some hacky spots.



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[jira] [Assigned] (SPARK-47858) Refactoring the structure for DataFrame error context

2024-04-16 Thread ASF GitHub Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-47858?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot reassigned SPARK-47858:
--

Assignee: (was: Apache Spark)

> Refactoring the structure for DataFrame error context
> -
>
> Key: SPARK-47858
> URL: https://issues.apache.org/jira/browse/SPARK-47858
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark
>Affects Versions: 4.0.0
>Reporter: Haejoon Lee
>Priority: Major
>  Labels: pull-request-available
>
> The current implementation for PySpark DataFrame error context could be more 
> flexible by addressing some hacky spots.



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[jira] [Assigned] (SPARK-47858) Refactoring the structure for DataFrame error context

2024-04-16 Thread ASF GitHub Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-47858?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot reassigned SPARK-47858:
--

Assignee: Apache Spark

> Refactoring the structure for DataFrame error context
> -
>
> Key: SPARK-47858
> URL: https://issues.apache.org/jira/browse/SPARK-47858
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark
>Affects Versions: 4.0.0
>Reporter: Haejoon Lee
>Assignee: Apache Spark
>Priority: Major
>  Labels: pull-request-available
>
> The current implementation for PySpark DataFrame error context could be more 
> flexible by addressing some hacky spots.



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