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https://issues.apache.org/jira/browse/SPARK-53959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-53959:
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Assignee: Alex Khakhlyuk (was: Dongjoon Hyun)
> Spark Connect Python client does not throw a proper error when creating a
> dataframe from an empty pandas dataframe
> ------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-53959
> URL: https://issues.apache.org/jira/browse/SPARK-53959
> Project: Spark
> Issue Type: Bug
> Components: Connect, PySpark
> Affects Versions: 4.1.0
> Reporter: Alex Khakhlyuk
> Assignee: Alex Khakhlyuk
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.1.0
>
>
> Spark Connect Python client does not throw a proper error when creating a
> dataframe from a pandas dataframe with a index and empty data.
> Generally, spark connect client throws a client-side error
> `[CANNOT_INFER_EMPTY_SCHEMA] Can not infer schema from an empty dataset`.
> when creating a dataframe without data, for example via
> {quote}spark.createDataFrame([]).show()
> {quote}
> or
> {quote}df = pd.DataFrame()
> spark.createDataFrame(df).show(){quote}
> or
> {quote}df = pd.DataFrame(\{"a": []})
> spark.createDataFrame(df).show(){quote}
> This does not happen when pandas dataframe has an index but no data, e.g.
> {quote}df = pd.DataFrame(index=range(5))
> spark.createDataFrame(df).show(){quote}
> What happens instead is that the dataframe is successfully converted to a
> LocalRelation on the client, is sent to the server, but the server then
> throws the following exception: `INTERNAL_ERROR: Input data for LocalRelation
> does not produce a schema. SQLSTATE: XX000`. XX000 is an internal error sql
> state and the error is not actionable enough for the user.
> This should be fixed.
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