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

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

     [ https://issues.apache.org/jira/browse/ARROW-11390?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Lance Dacey closed ARROW-11390.
-------------------------------
    Fix Version/s: 3.0.0
       Resolution: Fixed

I reorganized my Dockerfile to ensure that pyarrow 3.0 was installed before turbodbc (there was a base image which was installing 2.0), and I believe that conda-forge was updated for turbodbc as well

> [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
>            Priority: Major
>              Labels: python, turbodbc
>             Fix For: 3.0.0
>
>
> 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]
>  



--
This message was sent by Atlassian Jira
(v8.3.4#803005)