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Posted to issues@spark.apache.org by "Xinrong Meng (Jira)" <ji...@apache.org> on 2022/05/26 18:44:00 UTC

[jira] [Updated] (SPARK-39262) Correct the behavior of creating DataFrame from an RDD

     [ https://issues.apache.org/jira/browse/SPARK-39262?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xinrong Meng updated SPARK-39262:
---------------------------------
    Summary: Correct the behavior of creating DataFrame from an RDD  (was: Correct error messages when creating DataFrame from an RDD with the first element `0`)

> Correct the behavior of creating DataFrame from an RDD
> ------------------------------------------------------
>
>                 Key: SPARK-39262
>                 URL: https://issues.apache.org/jira/browse/SPARK-39262
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 3.4.0
>            Reporter: Xinrong Meng
>            Priority: Major
>
> Correct error messages when creating DataFrame from an RDD with the first element `0`.
> Previously, we raise a ValueError "The first row in RDD is empty, can not infer schema" in such case.
> However, a TypeError "Can not infer schema for type: <class 'int'>" should be raised instead.



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