[GitHub] [spark] itholic commented on pull request #36640: [SPARK-39262][PYTHON] Correct the behavior of creating DataFrame from an RDD

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itholic commented on PR #36640:
URL: https://github.com/apache/spark/pull/36640#issuecomment-1139193145

   > After further consideration, the behaviors below are expected:
   > 
   > ```python
   > >>> spark.createDataFrame(spark._sc.parallelize([[1], [2]])).show()
   > +---+
   > | _1|
   > +---+
   > |  1|
   > |  2|
   > +---+
   > 
   > >>> spark.createDataFrame(spark._sc.parallelize([[],[]])).show()
   > ++
   > ||
   > ++
   > ||
   > ||
   > ++
   > ```
   > 
   > that's because bolded **[]** in [**[]**,..] marks a row in PySpark.
   > 
   > So the PR is adjusted to enable `[[],[]]` input, by simply bypassing the check `if not first:`.
   > 
   > The input as `[None, None]` will raise the `ValueError` as before.
   > 
   > ```python
   > >>> spark.createDataFrame(spark._sc.parallelize([None, None])).show()
   > Traceback (most recent call last):
   > ...
   > ValueError: The first row in RDD is empty, can not infer schema
   > ```
   > 
   > CC @ueshin @HyukjinKwon @itholic
   
   Sounds good to me


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