[
https://issues.apache.org/jira/browse/PARQUET-1274?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uwe L. Korn resolved PARQUET-1274.
----------------------------------
Resolution: Fixed
Issue resolved by pull request 456
[https://github.com/apache/parquet-cpp/pull/456]
> [Python] SegFault in pyarrow.parquet.write_table with specific options
> ----------------------------------------------------------------------
>
> Key: PARQUET-1274
> URL: https://issues.apache.org/jira/browse/PARQUET-1274
> Project: Parquet
> Issue Type: Bug
> Components: parquet-cpp
> Environment: tested on MacOS High Sierra with python 3.6 and Ubuntu
> Xenial (Python 3.5)
> Reporter: Clément Bouscasse
> Assignee: Joshua Storck
> Priority: Major
> Labels: pull-request-available
> Fix For: cpp-1.5.0
>
>
> 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)
