Uwe L. Korn created ARROW-4582:
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Summary: [C++/Python] Memory corruption on Pandas->Arrow conversion
Key: ARROW-4582
URL: https://issues.apache.org/jira/browse/ARROW-4582
Project: Apache Arrow
Issue Type: Bug
Components: C++, Python
Affects Versions: 0.12.0, 0.11.1, 0.11.0
Reporter: Uwe L. Korn
Assignee: Uwe L. Korn
Fix For: 0.13.0
When converting DataFrames with numerical columns to Arrow tables we were
seeing random segfaults in core Python code. This only happened in environments
where we had a high level of parallelisation or slow code execution (e.g. in
AddressSanitizer builds).
The reason for these segfaults was that we were incrementing the reference
count of the underlying NumPy buffer but were not holding the GIL while
changing the reference count.
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