[ https://issues.apache.org/jira/browse/ARROW-3208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney updated ARROW-3208: -------------------------------- Labels: parquet (was: ) > [Python] Segmentation fault when reading a Parquet partitioned dataset to a > Parquet file > ---------------------------------------------------------------------------------------- > > Key: ARROW-3208 > URL: https://issues.apache.org/jira/browse/ARROW-3208 > Project: Apache Arrow > Issue Type: Bug > Components: Python > Affects Versions: 0.9.0 > Environment: Ubuntu 16.04 LTS; System76 Oryx Pro > Reporter: Ying Wang > Priority: Major > Labels: parquet > > Steps to reproduce: > # Create a partitioned dataset with the following code: > ```python > import numpy as np > import pandas as pd > import pyarrow as pa > import pyarrow.parquet as pq > df = pd.DataFrame({ 'one': [-1, 10, 2.5, 100, 1000, 1, 29.2], 'two': [-1, 10, > 2, 100, 1000, 1, 11], 'three': [0, 0, 0, 0, 0, 0, 0] }) > table = pa.Table.from_pandas(df) > pq.write_to_dataset(table, root_path='/home/yingw787/misc/example_dataset', > partition_cols=['one', 'two']) > ``` > # Create a Parquet file from a PyArrow Table created from the partitioned > Parquet dataset: > ```python > import pyarrow.parquet as pq > table = pq.ParquetDataset('/path/to/dataset').read() > pq.write_table(table, '/path/to/example.parquet') > ``` > EXPECTED: > * Successful write > GOT: > * Segmentation fault > Issue reference on GitHub mirror: https://github.com/apache/arrow/issues/2511 -- This message was sent by Atlassian JIRA (v7.6.3#76005)