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https://issues.apache.org/jira/browse/ARROW-2082?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney updated ARROW-2082:
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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.
>
>
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