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

["Florian Jetter (JIRA)" <ji...@apache.org>]

Florian Jetter created ARROW-4267:
-------------------------------------

             Summary: [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


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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