[jira] [Created] (ARROW-11390) [Python] pyarrow 3.0 issues with turbodbc

["Lance Dacey (Jira)" <ji...@apache.org>]

Lance Dacey created ARROW-11390:
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             Summary: [Python] pyarrow 3.0 issues with turbodbc
                 Key: ARROW-11390
                 URL: https://issues.apache.org/jira/browse/ARROW-11390
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 3.0.0
         Environment: pyarrow 3.0.0
fsspec 0.8.4
adlfs v0.5.9
pandas 1.2.1
numpy 1.19.5
turbodbc 4.1.1
            Reporter: Lance Dacey


This is more of a turbodbc issue I think, but perhaps someone here would have some idea of what changed to cause potential issues. 
{code:java}
cursor = connection.cursor()
cursor.execute("select top 10 * from dbo.tickets")
table = cursor.fetchallarrow(){code}
I am able to run table.num_rows and it will print out 10.

If I run table.to_pandas() or table.schema or try to write the table to a dataset, my kernel dies with no explanation. I reverted back to pyarrow 2.0 and the same code works again.

[https://github.com/blue-yonder/turbodbc/issues/289]

 



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