Alvaro-Kothe opened a new issue, #50698: URL: https://github.com/apache/arrow/issues/50698
### Describe the bug, including details regarding any error messages, version, and platform. Accessing the metadata of a PyArrow `Table` after converting it to a pandas with `self_destruct=True` causes a segmentation fault. This was originally reported in https://github.com/pandas-dev/pandas/issues/66509 and it has been adapted to a pure pyarrow path. ```python import pyarrow as pa import pyarrow.parquet as pq import io table = pa.table({"0": [0.25]}) with io.BytesIO() as buf: pq.write_table(table, buf) pa_table = pq.read_table( buf, columns=None, filesystem=None, filters=None, use_pandas_metadata=True, ) df = pa_table.to_pandas(self_destruct=True) this_will_crash = pa_table.schema.metadata ``` I ran it through Python built with ASan, here is the stack trace it provided: ``` ==506442==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000008 (pc 0x7bf21631cc0a bp 0x7ffde3402dc0 sp 0x7ffde3402da0 T0) ==506442==The signal is caused by a READ memory access. ==506442==Hint: address points to the zero page. #0 0x7bf21631cc0a in __pyx_f_7pyarrow_3lib_6Schema_init_schema(__pyx_obj_7pyarrow_3lib_Schema*, std::shared_ptr<arrow::Schema> const&) (.lto_priv.0) (/home/alvaro/projects/oss/pandas/.venv-asan/lib/python3.14/site-packages/pyarrow/lib.cpython-314-x86_64-linux-gnu.so+0x11cc0a) (BuildId: db7bac4d3a03ff0fd1f0d2214fc9112eccb77656) #1 0x7bf21648a1b0 in pyarrow_wrap_schema(std::shared_ptr<arrow::Schema> const&) (/home/alvaro/projects/oss/pandas/.venv-asan/lib/python3.14/site-packages/pyarrow/lib.cpython-314-x86_64-linux-gnu.so+0x28a1b0) (BuildId: db7bac4d3a03ff0fd1f0d2214fc9112eccb77656) #2 0x7bf2164ab0c9 in __pyx_getprop_7pyarrow_3lib_5Table_schema(_object*, void*) (.lto_priv.0) (/home/alvaro/projects/oss/pandas/.venv-asan/lib/python3.14/site-packages/pyarrow/lib.cpython-314-x86_64-linux-gnu.so+0x2ab0c9) (BuildId: db7bac4d3a03ff0fd1f0d2214fc9112eccb77656) #3 0x0000008f007a in _PyObject_GenericGetAttrWithDict /home/alvaro/opt/Python-3.14.6/Objects/object.c:1848:19 #4 0x0000008ed602 in PyObject_GetAttr /home/alvaro/opt/Python-3.14.6/Objects/object.c #5 0x000000ce2aff in _PyEval_EvalFrameDefault /home/alvaro/opt/Python-3.14.6/Python/generated_cases.c.h:8027:40 #6 0x000000caec33 in _PyEval_Vector /home/alvaro/opt/Python-3.14.6/Python/ceval.c:2110:12 #7 0x000000caec33 in PyEval_EvalCode /home/alvaro/opt/Python-3.14.6/Python/ceval.c:982:21 #8 0x000000f6a7a7 in run_mod /home/alvaro/opt/Python-3.14.6/Python/pythonrun.c:1460:19 #9 0x000000f646d5 in pyrun_file /home/alvaro/opt/Python-3.14.6/Python/pythonrun.c:1294:15 #10 0x000000f61f1f in _PyRun_SimpleFileObject /home/alvaro/opt/Python-3.14.6/Python/pythonrun.c:521:13 #11 0x000000f61214 in _PyRun_AnyFileObject /home/alvaro/opt/Python-3.14.6/Python/pythonrun.c:81:15 #12 0x0000010312a6 in pymain_run_file_obj /home/alvaro/opt/Python-3.14.6/Modules/main.c:410:15 #13 0x0000010312a6 in pymain_run_file /home/alvaro/opt/Python-3.14.6/Modules/main.c:429:15 #14 0x00000102e965 in pymain_run_python /home/alvaro/opt/Python-3.14.6/Modules/main.c:695:21 #15 0x00000102e965 in Py_RunMain /home/alvaro/opt/Python-3.14.6/Modules/main.c:776:5 #16 0x0000010300c6 in pymain_main /home/alvaro/opt/Python-3.14.6/Modules/main.c:806:12 #17 0x000001030344 in Py_BytesMain /home/alvaro/opt/Python-3.14.6/Modules/main.c:830:12 #18 0x7ff227a71680 in __libc_start_call_main (/lib64/libc.so.6+0x3680) (BuildId: 17f2e1fd905f485786f6fd6e3bede4ad737137e7) #19 0x7ff227a71797 in __libc_start_main@GLIBC_2.2.5 (/lib64/libc.so.6+0x3797) (BuildId: 17f2e1fd905f485786f6fd6e3bede4ad737137e7) #20 0x0000004031e4 in _start (/home/alvaro/opt/python-asan/bin/python3.14+0x4031e4) (BuildId: a933e09ec4da057744c3a360de3bb0f576714241) ==506442==Register values: rax = 0x00007bf2165c9250 rbx = 0x00007c5228d2cba0 rcx = 0x00000f7e42cb72b9 rdx = 0x0000000000000028 rdi = 0x00007c5228d2cba0 rsi = 0x0000000000000008 rbp = 0x00007ffde3402dc0 rsp = 0x00007ffde3402da0 r8 = 0x00000f8a451a5976 r9 = 0x0000000000000000 r10 = 0x00000f8a451a597a r11 = 0x0000000000000000 r12 = 0x0000000000000008 r13 = 0x00007bf225aa8180 r14 = 0x00000f8a451a3d9d r15 = 0x00007c3226f64458 ``` ### Component(s) Parquet, Python -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
