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https://issues.apache.org/jira/browse/ARROW-6719?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche updated ARROW-6719:
-----------------------------------------
Labels: parquet (was: )
> Parquet read_table error in Python3.7: pyarrow.lib.ArrowInvalid: Column data
> for field with type list<...> is inconsistent with schema list<...>
> ------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: ARROW-6719
> URL: https://issues.apache.org/jira/browse/ARROW-6719
> Project: Apache Arrow
> Issue Type: Bug
> Affects Versions: 0.14.1
> Environment: Python 3.7
> Reporter: V Luong
> Priority: Critical
> Labels: parquet
>
> I have Parquet files with certain complex columns of type List<item: double>,
> List<item: string>, etc. and am using latest PyArrow (0.14.1) to process them.
> In Python 2.7, pyarrow.parquet.read_table(...) processes these files
> correctly, without any problem.
> But in Python 3.7, the same pyarrow.parquet.read_table(...) function calls
> return errors of the following kind:
> "pyarrow.lib.ArrowInvalid: Column data for field 0 with type list<item:
> double> is inconsistent with schema list<element: double>"
> This issue might be related to
> https://issues.apache.org/jira/browse/ARROW-6068
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