If you try to write a PyArrow table containing nanosecond-resolution timestamps to Parquet using coerce_timestamps and use_deprecated_int96_timestamps=True, the Arrow library will segfault.
The crash doesn't happen if you don't coerce the timestamp resolution or if you don't use 96-bit timestamps.
Machine Info
OS: Mac OS X 10.13.2
Python: 3.6.4
PyArrow: 0.8.0
To Reproduce
import datetime
import pyarrow
from pyarrow import parquet
schema = pyarrow.schema([
pyarrow.field('last_updated', pyarrow.timestamp('ns')),
])
data = [
pyarrow.array([datetime.datetime.now()], pyarrow.timestamp('ns')),
]
table = pyarrow.Table.from_arrays(data, ['last_updated'])
with open('test_file.parquet', 'wb') as fdesc:
parquet.write_table(table, fdesc,
coerce_timestamps='us',
use_deprecated_int96_timestamps=True)
Crash Report
See attached file for full crash report from OSX: crash-report.txt
If you try to write a PyArrow table containing nanosecond-resolution timestamps to Parquet using
coerce_timestampsanduse_deprecated_int96_timestamps=True, the Arrow library will segfault.The crash doesn't happen if you don't coerce the timestamp resolution or if you don't use 96-bit timestamps.
Machine Info
OS: Mac OS X 10.13.2
Python: 3.6.4
PyArrow: 0.8.0
To Reproduce
Crash Report
See attached file for full crash report from OSX: crash-report.txt