[ 
https://issues.apache.org/jira/browse/ARROW-2082?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wes McKinney updated ARROW-2082:
--------------------------------
    Summary: [Python] SegFault in pyarrow.parquet.write_table with specific 
options  (was: SegFault in pyarrow.parquet.write_table with specific options)

> [Python] SegFault in pyarrow.parquet.write_table with specific options
> ----------------------------------------------------------------------
>
>                 Key: ARROW-2082
>                 URL: https://issues.apache.org/jira/browse/ARROW-2082
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.8.0
>         Environment: tested on MacOS High Sierra with python 3.6 and Ubuntu 
> Xenial (Python 3.5)
>            Reporter: Clément Bouscasse
>            Priority: Major
>             Fix For: 0.9.0
>
>
> I originally filed an issue in the pandas project but we've tracked it down 
> to arrow itself, when called via pandas in specific circumstances:
> [https://github.com/pandas-dev/pandas/issues/19493]
> basically using
> {code:java}
>  df.to_parquet('filename.parquet', flavor='spark'){code}
> gives a seg fault if `df` contains a datetime column.
> Under the covers,  pandas translates this to the following call:
> {code:java}
> pq.write_table(table, 'output.parquet', flavor='spark', compression='snappy', 
> coerce_timestamps='ms')
> {code}
> which gives me an instant crash.
> There is a repro on the github ticket.
>  
>  



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Reply via email to