[
https://issues.apache.org/jira/browse/SPARK-39262?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xinrong Meng updated SPARK-39262:
---------------------------------
Description:
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()
++
||
++
||
||
++
```
was:
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.
> 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 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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