H. Vetinari created ARROW-5965:
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Summary: 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
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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