[jira] [Commented] (ARROW-5965) [Python] Regression: segfault when reading hive table with v0.14

["Neal Richardson (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/ARROW-5965?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16887119#comment-16887119 ] 

Neal Richardson commented on ARROW-5965:
----------------------------------------

Thanks for the report. A few questions:
 # Is this reproducible if you try again with the same file? (I wonder if "Killed" means OOM and not segfault)
 # Could you provide a (preferably as small as possible) Parquet file that triggers this behavior? I think we'll need that in order to identify and fix any issues.

> [Python] Regression: segfault when reading hive table with v0.14
> ----------------------------------------------------------------
>
>                 Key: ARROW-5965
>                 URL: https://issues.apache.org/jira/browse/ARROW-5965
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.14.0
>            Reporter: H. Vetinari
>            Priority: Critical
>              Labels: parquet
>
> I'm working with pyarrow on a cloudera cluster (CDH 6.1.1), with pyarrow installed in a conda env.
> The data I'm reading is a hive(-registered) table written as parquet, and with v0.13, reading this table (that is partitioned) does not cause any issues.
> The code that worked before and now crashes with v0.14 is simply:
> ```
> import pyarrow.parquet as pq
> pq.ParquetDataset('hdfs:///data/raw/source/table').read()
> ```
> Since it completely crashes my notebook (resp. my REPL ends with "Killed"), I cannot report much more, but this is a pretty severe usability restriction. So far the solution is to enforce `pyarrow<0.14`



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