You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@arrow.apache.org by "V Luong (Jira)" <ji...@apache.org> on 2019/09/27 00:43:00 UTC
[jira] [Updated] (ARROW-6719) Parquet read_table error in
Python3.7: pyarrow.lib.ArrowInvalid: Column data for field with type
list<...> is inconsistent with schema list<...>
[ https://issues.apache.org/jira/browse/ARROW-6719?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
V Luong updated ARROW-6719:
---------------------------
Description:
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
was:
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>"
> 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
>
> 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
--
This message was sent by Atlassian Jira
(v8.3.4#803005)