John Hany created SPARK-34803:
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Summary: Util methods requiring certain versions of Pandas &
PyArrow don't pass through the raised ImportError
Key: SPARK-34803
URL: https://issues.apache.org/jira/browse/SPARK-34803
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 3.1.1
Reporter: John Hany
When checking that the we can import either {{pandas}} or {{pyarrow}}, we
except any {{ImportError}} and raise an error declaring the minimum version of
the respective package that's required to be in the Python environment.
We don't however, pass the {{ImportError}} that might have been thrown by the
package itself. Take {{pandas}} as an example, when we call {{import pandas}},
pandas itself might be in the environment, but can throw an {{ImportError}}
[https://github.com/pandas-dev/pandas/blob/0.24.x/pandas/compat/__init__.py#L438]
if another package it requires isn't there. This error wouldn't be passed
through and we'd end up getting a misleading error message that states that
{{pandas}} isn't in the environment, while in fact it is but something else
makes us unable to import it.
I believe this can be improved by chaining the exceptions and am happy to
provide said contribution.
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