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Posted to issues@spark.apache.org by "Ruifeng Zheng (Jira)" <ji...@apache.org> on 2023/04/01 01:36:00 UTC

[jira] [Resolved] (SPARK-42998) Fix DataFrame.collect with null struct.

     [ https://issues.apache.org/jira/browse/SPARK-42998?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ruifeng Zheng resolved SPARK-42998.
-----------------------------------
    Fix Version/s: 3.4.0
       Resolution: Fixed

Issue resolved by pull request 40627
[https://github.com/apache/spark/pull/40627]

> Fix DataFrame.collect with null struct.
> ---------------------------------------
>
>                 Key: SPARK-42998
>                 URL: https://issues.apache.org/jira/browse/SPARK-42998
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Connect
>    Affects Versions: 3.4.0
>            Reporter: Takuya Ueshin
>            Assignee: Takuya Ueshin
>            Priority: Major
>             Fix For: 3.4.0
>
>
> In Spark Connect:
> {code:python}
> >>> df = spark.sql("values (1, struct('a' as x)), (null, null) as t(a, b)")
> >>> df.show()
> +----+----+
> |   a|   b|
> +----+----+
> |   1| {a}|
> |null|null|
> +----+----+
> >>> df.collect()
> [Row(a=1, b=Row(x='a')), Row(a=None, b=<Row()>)]
> {code}
> whereas PySpark:
> {code:python}
> >>> df.collect()
> [Row(a=1, b=Row(x='a')), Row(a=None, b=None)]
> {code}



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