Details
-
Bug
-
Status: Resolved
-
Major
-
Resolution: Fixed
-
0.9.0
-
Ubuntu 16.04 LTS; System76 Oryx Pro
Description
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
Attachments
Issue Links
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