Joris Van den Bossche created ARROW-8799:
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Summary: [C++][Dataset] Reading list column as nested dictionary
segfaults
Key: ARROW-8799
URL: https://issues.apache.org/jira/browse/ARROW-8799
Project: Apache Arrow
Issue Type: Bug
Components: C++
Reporter: Joris Van den Bossche
Python example:
{code}
import pyarrow as pa
import pyarrow.parquet as pq
from pyarrow.tests import util
repeats = 10
nunique = 5
data = [
[[util.rands(10)] for i in range(nunique)] * repeats,
]
table = pa.table(data, names=['f0'])
pq.write_table(table, "test_dictionary.parquet")
{code}
Reading with the parquet code works:
{code}
>>> pq.read_table("test_dictionary.parquet", read_dictionary=['f0.list.item'])
>>>
>>>
pyarrow.Table
f0: list<item: dictionary<values=string, indices=int32, ordered=0>>
child 0, item: dictionary<values=string, indices=int32, ordered=0>
{code}
but doing the same with the datasets API segfaults:
{code}
>>> fmt =
>>> ds.ParquetFileFormat(read_options=dict(dictionary_columns=["f0.list.item"]))
>>> dataset = ds.dataset("test_dictionary.parquet", format=fmt)
>>>
>>> dataset.to_table()
Segmentation fault (core dumped)
{code}
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