H. Vetinari created ARROW-5965: ---------------------------------- 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` -- This message was sent by Atlassian JIRA (v7.6.14#76016)