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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2022/05/31 01:26:00 UTC
[jira] [Resolved] (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 ]
Hyukjin Kwon resolved SPARK-39262.
----------------------------------
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 36640
[https://github.com/apache/spark/pull/36640]
> 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
> Assignee: Xinrong Meng
> Priority: Major
> Fix For: 3.4.0
>
>
> Correct the behavior of creating DataFrame from an RDD **with `0` or an empty list as the first element**.
>
> Before:
> ```py
> >>> spark.createDataFrame(spark._sc.parallelize([0, 1]))
> Traceback (most recent call last):
> ...
> ValueError: The first row in RDD is empty, can not infer schema
> >>> spark.createDataFrame(spark._sc.parallelize([[], []]))
> Traceback (most recent call last):
> ...
> ValueError: The first row in RDD is empty, can not infer schema
> ```
> After:
> ```py
> >>> spark.createDataFrame(spark._sc.parallelize([0, 1]))
> Traceback (most recent call last):
> ...
> TypeError: Can not infer schema for type: <class 'int'>
> >>> spark.createDataFrame(spark._sc.parallelize([[], []]))
> DataFrame[]
> >>> spark.createDataFrame(spark._sc.parallelize([[], []])).show()
> ++
> ||
> ++
> ||
> ||
> ++
> ```
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