Uwe L. Korn created ARROW-4582: ---------------------------------- 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005)