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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/11/03 14:00:04 UTC
[jira] [Commented] (SPARK-36894) RDD.toDF should be synchronized
with dispatched variants of SparkSession.createDataFrame
[ https://issues.apache.org/jira/browse/SPARK-36894?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17438084#comment-17438084 ]
Apache Spark commented on SPARK-36894:
--------------------------------------
User 'sarutak' has created a pull request for this issue:
https://github.com/apache/spark/pull/34477
> 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: 3.1.2, 3.2.0, 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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