[jira] [Updated] (SPARK-36894) RDD.toDF should be synchronized with dispatched variants of SparkSession.createDataFrame

["Dongjoon Hyun (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-36894?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun updated SPARK-36894:
----------------------------------
    Affects Version/s:     (was: 3.2.0)
                           (was: 3.1.2)

> RDD.toDF should be synchronized with dispatched variants of SparkSession.createDataFrame
> ----------------------------------------------------------------------------------------
>
>                 Key: SPARK-36894
>                 URL: https://issues.apache.org/jira/browse/SPARK-36894
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, SQL
>    Affects Versions: 3.3.0
>            Reporter: Maciej Szymkiewicz
>            Assignee: Maciej Szymkiewicz
>            Priority: Minor
>             Fix For: 3.3.0
>
>
> There are some variants that are supported:
>  * Providing a schema as a {{str}} object for {{RDD[RowLike]}} objects
>  * Providing a schema as a {{Tuple[str, ...]}} names
>  * Calling {{toDF}} on {{RDD}} of atomic values, when schema of {{str}} or {{AtomicType}} is provided.



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