[jira] [Assigned] (SPARK-55674) Apply consistent 0-column pandas-to-Arrow fix

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-55674?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon reassigned SPARK-55674:
------------------------------------

    Assignee: Yicong Huang

> Apply consistent 0-column pandas-to-Arrow fix
> ---------------------------------------------
>
>                 Key: SPARK-55674
>                 URL: https://issues.apache.org/jira/browse/SPARK-55674
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 4.2.0
>            Reporter: Yicong Huang
>            Assignee: Yicong Huang
>            Priority: Major
>              Labels: pull-request-available
>
> Follow-up to SPARK-55600 (PR #54382).
> Reviewer ueshin noted that the 0-column pandas-to-Arrow fix should also be applied to similar places:
> * {{python/pyspark/sql/connect/session.py}} around line 626, which uses {{pa.Table.from_struct_array(pa.array([{}] * len(data), type=pa.struct([])))}}
> * -{{python/pyspark/sql/conversion.py}} around line 289, which uses {{pa.RecordBatch.from_struct_array(pa.array([{}] * len(data), arrow_type))}}-  
> Here schema may have more fields but data frame is empty. So we need to create it out instead of converting it. So this case does not apply.
> These should use the same approach introduced in SPARK-55600 for consistency.



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