[
https://issues.apache.org/jira/browse/ARROW-8799?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wes McKinney resolved ARROW-8799.
---------------------------------
Fix Version/s: 1.0.0
Resolution: Fixed
Issue resolved by pull request 7181
[https://github.com/apache/arrow/pull/7181]
> [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
> Assignee: Ben Kietzman
> Priority: Major
> Labels: dataset, pull-request-available
> Fix For: 1.0.0
>
> Time Spent: 50m
> Remaining Estimate: 0h
>
> 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}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
