[jira] [Resolved] (ARROW-4267) [Python/C++] Segfault when reading rowgroups with duplicated columns

["Wes McKinney (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-4267?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wes McKinney resolved ARROW-4267.
---------------------------------
    Resolution: Fixed

Issue resolved by pull request 3683
[https://github.com/apache/arrow/pull/3683]

> [Python/C++] Segfault when reading rowgroups with duplicated columns
> --------------------------------------------------------------------
>
>                 Key: ARROW-4267
>                 URL: https://issues.apache.org/jira/browse/ARROW-4267
>             Project: Apache Arrow
>          Issue Type: Bug
>    Affects Versions: 0.11.1
>            Reporter: Florian Jetter
>            Assignee: Uwe L. Korn
>            Priority: Minor
>              Labels: pull-request-available
>             Fix For: 0.13.0
>
>          Time Spent: 1h 20m
>  Remaining Estimate: 0h
>
> When reading a row group using duplicated columns I receive a segfault.
> {code:python}
> import pandas as pd
> import pyarrow as pa
> import pyarrow.parquet as pq
> df = pd.DataFrame({
> "col": ["A", "B"]
> })
> table = pa.Table.from_pandas(df)
> buf = pa.BufferOutputStream()
> pq.write_table(table, buf)
> parquet_file = pq.ParquetFile(buf.getvalue())
> parquet_file.read_row_group(0)
> parquet_file.read_row_group(0, columns=["col"])
> # boom
> parquet_file.read_row_group(0, columns=["col", "col"])
> {code}



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)