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https://issues.apache.org/jira/browse/ARROW-4267?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Uwe L. Korn updated ARROW-4267:
-------------------------------
Fix Version/s: 0.12.1
> [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, 0.12.1
>
> Time Spent: 1.5h
> 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}
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