[
https://issues.apache.org/jira/browse/ARROW-5965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Neal Richardson updated ARROW-5965:
-----------------------------------
Summary: [Python] Regression: segfault when reading hive table with v0.14
(was: Regression: segfault when reading hive table with v0.14)
> [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
> Affects Versions: 0.14.0
> Reporter: H. Vetinari
> Priority: Critical
>
> 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`
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)
