[PARQUET-1245] [C++] Segfault when writing Arrow table with duplicate columns

• Type: Bug
• Status: Resolved
• Priority: Minor
• Resolution: Fixed
• Fix Version/s: cpp-1.5.0
• Labels: pull-request-available

Environment

Linux Mint 18.2
Anaconda Python distribution + pyarrow installed from the conda-forge channel

• External issue URL: https://github.com/apache/arrow/issues/1461
• Assignee: Antoine Pitrou
• Reporter: Alexey Strokach
• Created: 07/Jan/18 03:34
• Updated: 23/Jun/24 03:30
• Resolved: 22/Mar/18 23:53

Description

I accidentally created a large number of Parquet files with two _index_level_0_ columns (through a Spark SQL query).

PyArrow can read these files into tables, but it segfaults when converting the resulting tables to Pandas DataFrames or when saving the tables to Parquet files.

# Duplicate columns cause segmentation faults
table = pq.read_table('/path/to/duplicate_column_file.parquet')
table.to_pandas()  # Segmentation fault
pq.write_table(table, '/some/output.parquet') # Segmentation fault

If I remove the duplicate column using table.remove_column(...) everything works without segfaults.

# After removing duplicate columns, everything works fine
table = pq.read_table('/path/to/duplicate_column_file.parquet')
table.remove_column(34)
table.to_pandas()  # OK
pq.write_table(table, '/some/output.parquet')  # OK

For more concrete examples, see `test_segfault_1.py` and `test_segfault_2.py` here: https://gitlab.com/ostrokach/pyarrow_duplicate_column_errors.

Issue Links

• links to: GitHub Pull Request #447