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https://issues.apache.org/jira/browse/ARROW-5965?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16887129#comment-16887129
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H. Vetinari commented on ARROW-5965:
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Hey Neal,
I tried a couple of times before filing the report, and all (~5) invocations on
0.14 crashed, and all invocations on 0.13 worked. The machine itself has lots
of memory, so I don't think it's that. Not sure I'll be able to pare this down
to a minimal reproducing parquet file. I'll try.
> [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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