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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/03/19 16:23:00 UTC
[jira] [Assigned] (SPARK-34803) Util methods requiring certain
versions of Pandas & PyArrow don't pass through the raised ImportError
[ https://issues.apache.org/jira/browse/SPARK-34803?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-34803:
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Assignee: (was: Apache Spark)
> 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
> Priority: Major
>
> 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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