Alex Khakhlyuk created SPARK-53959:
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Summary: 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
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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