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contrib.tornado.TracerMixin#90
ross wants to merge 2 commits intoDataDog:masterfrom
ross:tornado-and-treading

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@ross
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@ross ross commented Nov 3, 2016

This is a quick implementation of what I'm using successfully in my app ported into a contrib module. It supports the async & multi-threaded nature of tornado in a relatively transparent fashion.

As implemented it doesn't touch any of the existing code. Some relatively simple refactoring would allow it to avoid working around a few things and prevent it from creating "extra" stuff (multiple AgentWriters etc.)

It only supports a single level of hierarchy as-is with all things parented to the per-request span. That could be addressed relatively easily via refactoring to allow passing a parent span to Tracer.trace which would benefit multi-threaded setups outside of tornado.

For now it's mostly for reference and eventually/potential discussion. I'm not in need of this being merged or anything. I have a version of it in the app.

/cc @clutchski

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clutchski commented Nov 3, 2016

ok cool. thanks.

my endgoal is do something like this:

DATADOG_TRACE_MODE=tornado python your_script.py

and see if we can get a trace buffer that just works eveywhere. i'll use this as a starting point and see what we can do.

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clutchski commented Dec 12, 2016 •
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@ross i've started experimenting with some other options here based on StackContext. I'll keep you posted. I think we can make something that works if you use a top level wrapping in your tornado app.

https://stackoverflow.com/questions/16572648/accessing-web-request-globally-in-tornado

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ross commented Dec 12, 2016

https://stackoverflow.com/questions/16572648/accessing-web-request-globally-in-tornado

Ran across that in my searching and played around with it and the other gist it links to https://gist.github.com/virtuald/50bf7cacdc8cfb05e323f350539f0efa. Didn't have much luck in my very brief digging. It would be nice to avoid having to pass the handler around.

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clutchski commented Feb 13, 2017

closed in favour of this:

#161

@clutchski clutchski closed this Feb 13, 2017
gh-worker-dd-mergequeue-cf854d Bot pushed a commit that referenced this pull request Apr 23, 2026
@KowalskiThomas
fix(profiling): guard memalloc hook against partially-written saved a…
7114b09 
…llocator (#17664)

## Description

This PR fixes a segmentation fault in the memory allocation profiler that occurs when a hook call races with `memalloc` start/stop operations. The issue arises from concurrent access to the saved allocator struct, which could be partially written while being read, resulting in`NULL` function pointers being dereferenced.  The key indicator in that case is that `#1 0x0000000000000000` frame -- we are trying to execute a null function pointer.

````
Error UnixSignal: Process terminated with SEGV_MAPERR (SIGSEGV)
#0   0x00007ff3c303a8d4  
#1   0x0000000000000000 memalloc_alloc (/go/src/github.com/DataDog/apm-reliability/dd-trace-py/ddtrace/profiling/collector/_memalloc.cpp:68)
#2   0x00007ff39dcb3b20 memalloc_alloc (/go/src/github.com/DataDog/apm-reliability/dd-trace-py/ddtrace/profiling/collector/_memalloc.cpp:68)
#3   0x00007ff39dcb3b20 memalloc_malloc(void*, unsigned long) (/go/src/github.com/DataDog/apm-reliability/dd-trace-py/ddtrace/profiling/collector/_memalloc.cpp:80)
#4   0x00007ff3c3087e1b PyUnicode_New 
#5   0x00007ff3c30889f4  
#6   0x00007ff3c3170c84  
#7   0x00007ff3c316b931  
#8   0x00007ff3c31aaac8  
#9   0x00007ff3c31033ac  
#10  0x00007ff3c310e2a6 PyObject_CallMethodObjArgs 
#11  0x00007ff3c310e46d  
#12  0x00007ff3c31a96c2  
#13  0x00007ff3c3102fd7 PyObject_Vectorcall 
#14  0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#15  0x00007ff3c323c094  
#16  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#17  0x00007ff3c323c094  
#18  0x00007ff3c30e997d PyObject_CallOneArg 
#19  0x00007ff3c306a480 _PyObject_GenericGetAttrWithDict 
#20  0x00007ff3c30c620d PyObject_GetAttr 
#21  0x00007ff3c32309e7 _PyEval_EvalFrameDefault 
#22  0x00007ff3c323c094  
#23  0x00007ff3c312880e  
#24  0x00007ff3c30e917c _PyObject_MakeTpCall 
#25  0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#26  0x00007ff3c323c094  
#27  0x00007ff3c312880e  
#28  0x00007ff3c30e917c _PyObject_MakeTpCall 
#29  0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#30  0x00007ff3c323c094  
#31  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#32  0x00007ff3c323c094  
#33  0x00007ff3c317d0fd  
#34  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#35  0x00007ff3c323c094  
#36  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#37  0x00007ff3c323c094  
#38  0x00007ff3c317d1b5  
#39  0x00007ff3c3102fd7 PyObject_Vectorcall 
#40  0x00007ff3c3232f4a _PyEval_EvalFrameDefault 
#41  0x00007ff3c3240da5  
#42  0x00007ff3c324112d  
#43  0x00007ff3c3233be1 _PyEval_EvalFrameDefault 
#44  0x00007ff3c323c094  
#45  0x00007ff3c317d1b5  
#46  0x00007ff3c3102fd7 PyObject_Vectorcall 
#47  0x00007ff3c3232f4a _PyEval_EvalFrameDefault 
#48  0x00007ff3c323c094  
#49  0x00007ff3c31033ac  
#50  0x00007ff3c310358d PyObject_CallFunctionObjArgs 
#51  0x00007ff3bf7eb91d WraptBoundFunctionWrapper_call (/project/src/wrapt/_wrappers.c:3750)
#52  0x00007ff3c3104055 _PyObject_Call 
#53  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#54  0x00007ff3c323c094  
#55  0x00007ff3c317d23c  
#56  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#57  0x00007ff3c323c094  
#58  0x00007ff3c310416f _PyObject_Call 
#59  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#60  0x00007ff3c3240da5  
#61  0x00007ff3c324112d  
#62  0x00007ff3c3233be1 _PyEval_EvalFrameDefault 
#63  0x00007ff3c323c094  
#64  0x00007ff3c317d1b5  
#65  0x00007ff3c3102fd7 PyObject_Vectorcall 
#66  0x00007ff3c3232f4a _PyEval_EvalFrameDefault 
#67  0x00007ff3c323c094  
#68  0x00007ff3c317d1b5  
#69  0x00007ff3c310416f _PyObject_Call 
#70  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#71  0x00007ff3c323c094  
#72  0x00007ff3c317d1b5  
#73  0x00007ff3c310416f _PyObject_Call 
#74  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#75  0x00007ff3c323c094  
#76  0x00007ff3c31033ac  
#77  0x00007ff3c310358d PyObject_CallFunctionObjArgs 
#78  0x00007ff3bf7eb91d WraptBoundFunctionWrapper_call (/project/src/wrapt/_wrappers.c:3750)
#79  0x00007ff3c30e917c _PyObject_MakeTpCall 
#80  0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#81  0x00007ff3c323c094  
#82  0x00007ff3c317d518  
#83  0x00007ff3c3155963  
#84  0x00007ff3c315393d  
#85  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#86  0x00007ff3c323c094  
#87  0x00007ff3c317d0fd  
#88  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#89  0x00007ff3c323c094  
#90  0x00007ff3c317d0fd  
#91  0x00007ff3c317d518  
#92  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#93  0x00007ff3c323c094  
#94  0x00007ff3c30e9371 _PyObject_FastCallDictTstate 
#95  0x00007ff3c30e958d _PyObject_Call_Prepend 
#96  0x00007ff3c3109150  
#97  0x00007ff3c3104055 _PyObject_Call 
#98  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#99  0x00007ff3c323c094  
#100 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#101 0x00007ff3c30e958d _PyObject_Call_Prepend 
#102 0x00007ff3c3109150  
#103 0x00007ff3c30e917c _PyObject_MakeTpCall 
#104 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#105 0x00007ff3c323c094  
#106 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#107 0x00007ff3c30e958d _PyObject_Call_Prepend 
#108 0x00007ff3c3109150  
#109 0x00007ff3c30e917c _PyObject_MakeTpCall 
#110 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#111 0x00007ff3c323c094  
#112 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#113 0x00007ff3c30e958d _PyObject_Call_Prepend 
#114 0x00007ff3c3109150  
#115 0x00007ff3c30e917c _PyObject_MakeTpCall 
#116 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#117 0x00007ff3c323c094  
#118 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#119 0x00007ff3c30e958d _PyObject_Call_Prepend 
#120 0x00007ff3c3109150  
#121 0x00007ff3c30e917c _PyObject_MakeTpCall 
#122 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#123 0x00007ff3c323c094  
#124 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#125 0x00007ff3c30e958d _PyObject_Call_Prepend 
#126 0x00007ff3c3109150  
#127 0x00007ff3c30e917c _PyObject_MakeTpCall 
#128 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#129 0x00007ff3c323c094  
#130 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#131 0x00007ff3c30e958d _PyObject_Call_Prepend 
#132 0x00007ff3c3109150  
#133 0x00007ff3c30e917c _PyObject_MakeTpCall 
#134 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#135 0x00007ff3c323c094  
#136 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#137 0x00007ff3c30e958d _PyObject_Call_Prepend 
#138 0x00007ff3c3109150  
#139 0x00007ff3c30e917c _PyObject_MakeTpCall 
#140 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#141 0x00007ff3c323c094  
#142 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#143 0x00007ff3c30e958d _PyObject_Call_Prepend 
#144 0x00007ff3c3109150  
#145 0x00007ff3c30e917c _PyObject_MakeTpCall 
#146 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#147 0x00007ff3c323c094  
#148 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#149 0x00007ff3c30e958d _PyObject_Call_Prepend 
#150 0x00007ff3c3109150  
#151 0x00007ff3c30e917c _PyObject_MakeTpCall 
#152 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#153 0x00007ff3c323c094  
#154 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#155 0x00007ff3c30e958d _PyObject_Call_Prepend 
#156 0x00007ff3c3109150  
#157 0x00007ff3c30e917c _PyObject_MakeTpCall 
#158 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#159 0x00007ff3c323c094  
#160 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#161 0x00007ff3c30e958d _PyObject_Call_Prepend 
#162 0x00007ff3c3109150  
#163 0x00007ff3c30e917c _PyObject_MakeTpCall 
#164 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#165 0x00007ff3c323c094  
#166 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#167 0x00007ff3c30e958d _PyObject_Call_Prepend 
#168 0x00007ff3c3109150  
#169 0x00007ff3c30e917c _PyObject_MakeTpCall 
#170 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#171 0x00007ff3c323c094  
#172 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#173 0x00007ff3c30e958d _PyObject_Call_Prepend 
#174 0x00007ff3c3109150  
#175 0x00007ff3c30e917c _PyObject_MakeTpCall 
#176 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#177 0x00007ff3c323c094  
#178 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#179 0x00007ff3c30e958d _PyObject_Call_Prepend 
#180 0x00007ff3c3109150  
#181 0x00007ff3c30e917c _PyObject_MakeTpCall 
#182 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#183 0x00007ff3c323c094  
#184 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#185 0x00007ff3c30e958d _PyObject_Call_Prepend 
#186 0x00007ff3c3109150  
#187 0x00007ff3c30e917c _PyObject_MakeTpCall 
#188 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#189 0x00007ff3c323c094  
#190 0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#191 0x00007ff3c323c094  
#192 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#193 0x00007ff3c30e958d _PyObject_Call_Prepend 
#194 0x00007ff3c3109150  
#195 0x00007ff3c30e917c _PyObject_MakeTpCall 
#196 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#197 0x00007ff3c323c094  
#198 0x00007ff3c317d0fd  
#199 0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#200 0x00007ff3c323c094  
#201 0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#202 0x00007ff3c323c094  
#203 0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#204 0x00007ff3c323c094  
#205 0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#206 0x00007ff3c323c094  
#207 0x00007ff3c317d23c  
#208 0x00007ff3c31a7ec5  
#209 0x00007ff3c301ac77  
#210 0x00007ff3c357c573  
````

The fix implements two key changes.

1. **Hook functions (`memalloc_alloc`, `memalloc_realloc`)**: Snapshot the allocator struct locally before use and guard indirect function calls with `NULL` checks. This prevents crashes if a partially-written struct is observed during a start/stop race.

2. **Start/stop operations (`memalloc_start`, `memalloc_stop`)**: Use local variables and single assignments when publishing the allocator struct to `global_memalloc_ctx.pymem_allocator_obj`. This ensures concurrent hook calls observe either the old or new struct, never a partially-written intermediate state.

The real root cause is that `PyMem_GetAllocator` is not documented as atomic, and the struct could be read field-by-field while being written to concurrently.  By using local copies and single assignments, we ensure atomicity at the C level and prevent observation of inconsistent state.

Co-authored-by: thomas.kowalski <thomas.kowalski@datadoghq.com>
emmettbutler pushed a commit that referenced this pull request Apr 24, 2026
@KowalskiThomas @emmettbutler
fix(profiling): guard memalloc hook against partially-written saved a…
9579cfe 
…llocator (#17664)

## Description

This PR fixes a segmentation fault in the memory allocation profiler that occurs when a hook call races with `memalloc` start/stop operations. The issue arises from concurrent access to the saved allocator struct, which could be partially written while being read, resulting in`NULL` function pointers being dereferenced.  The key indicator in that case is that `#1 0x0000000000000000` frame -- we are trying to execute a null function pointer.

````
Error UnixSignal: Process terminated with SEGV_MAPERR (SIGSEGV)
#0   0x00007ff3c303a8d4  
#1   0x0000000000000000 memalloc_alloc (/go/src/github.com/DataDog/apm-reliability/dd-trace-py/ddtrace/profiling/collector/_memalloc.cpp:68)
#2   0x00007ff39dcb3b20 memalloc_alloc (/go/src/github.com/DataDog/apm-reliability/dd-trace-py/ddtrace/profiling/collector/_memalloc.cpp:68)
#3   0x00007ff39dcb3b20 memalloc_malloc(void*, unsigned long) (/go/src/github.com/DataDog/apm-reliability/dd-trace-py/ddtrace/profiling/collector/_memalloc.cpp:80)
#4   0x00007ff3c3087e1b PyUnicode_New 
#5   0x00007ff3c30889f4  
#6   0x00007ff3c3170c84  
#7   0x00007ff3c316b931  
#8   0x00007ff3c31aaac8  
#9   0x00007ff3c31033ac  
#10  0x00007ff3c310e2a6 PyObject_CallMethodObjArgs 
#11  0x00007ff3c310e46d  
#12  0x00007ff3c31a96c2  
#13  0x00007ff3c3102fd7 PyObject_Vectorcall 
#14  0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#15  0x00007ff3c323c094  
#16  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#17  0x00007ff3c323c094  
#18  0x00007ff3c30e997d PyObject_CallOneArg 
#19  0x00007ff3c306a480 _PyObject_GenericGetAttrWithDict 
#20  0x00007ff3c30c620d PyObject_GetAttr 
#21  0x00007ff3c32309e7 _PyEval_EvalFrameDefault 
#22  0x00007ff3c323c094  
#23  0x00007ff3c312880e  
#24  0x00007ff3c30e917c _PyObject_MakeTpCall 
#25  0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#26  0x00007ff3c323c094  
#27  0x00007ff3c312880e  
#28  0x00007ff3c30e917c _PyObject_MakeTpCall 
#29  0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#30  0x00007ff3c323c094  
#31  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#32  0x00007ff3c323c094  
#33  0x00007ff3c317d0fd  
#34  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#35  0x00007ff3c323c094  
#36  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#37  0x00007ff3c323c094  
#38  0x00007ff3c317d1b5  
#39  0x00007ff3c3102fd7 PyObject_Vectorcall 
#40  0x00007ff3c3232f4a _PyEval_EvalFrameDefault 
#41  0x00007ff3c3240da5  
#42  0x00007ff3c324112d  
#43  0x00007ff3c3233be1 _PyEval_EvalFrameDefault 
#44  0x00007ff3c323c094  
#45  0x00007ff3c317d1b5  
#46  0x00007ff3c3102fd7 PyObject_Vectorcall 
#47  0x00007ff3c3232f4a _PyEval_EvalFrameDefault 
#48  0x00007ff3c323c094  
#49  0x00007ff3c31033ac  
#50  0x00007ff3c310358d PyObject_CallFunctionObjArgs 
#51  0x00007ff3bf7eb91d WraptBoundFunctionWrapper_call (/project/src/wrapt/_wrappers.c:3750)
#52  0x00007ff3c3104055 _PyObject_Call 
#53  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#54  0x00007ff3c323c094  
#55  0x00007ff3c317d23c  
#56  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#57  0x00007ff3c323c094  
#58  0x00007ff3c310416f _PyObject_Call 
#59  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#60  0x00007ff3c3240da5  
#61  0x00007ff3c324112d  
#62  0x00007ff3c3233be1 _PyEval_EvalFrameDefault 
#63  0x00007ff3c323c094  
#64  0x00007ff3c317d1b5  
#65  0x00007ff3c3102fd7 PyObject_Vectorcall 
#66  0x00007ff3c3232f4a _PyEval_EvalFrameDefault 
#67  0x00007ff3c323c094  
#68  0x00007ff3c317d1b5  
#69  0x00007ff3c310416f _PyObject_Call 
#70  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#71  0x00007ff3c323c094  
#72  0x00007ff3c317d1b5  
#73  0x00007ff3c310416f _PyObject_Call 
#74  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#75  0x00007ff3c323c094  
#76  0x00007ff3c31033ac  
#77  0x00007ff3c310358d PyObject_CallFunctionObjArgs 
#78  0x00007ff3bf7eb91d WraptBoundFunctionWrapper_call (/project/src/wrapt/_wrappers.c:3750)
#79  0x00007ff3c30e917c _PyObject_MakeTpCall 
#80  0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#81  0x00007ff3c323c094  
#82  0x00007ff3c317d518  
#83  0x00007ff3c3155963  
#84  0x00007ff3c315393d  
#85  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#86  0x00007ff3c323c094  
#87  0x00007ff3c317d0fd  
#88  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#89  0x00007ff3c323c094  
#90  0x00007ff3c317d0fd  
#91  0x00007ff3c317d518  
#92  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#93  0x00007ff3c323c094  
#94  0x00007ff3c30e9371 _PyObject_FastCallDictTstate 
#95  0x00007ff3c30e958d _PyObject_Call_Prepend 
#96  0x00007ff3c3109150  
#97  0x00007ff3c3104055 _PyObject_Call 
#98  0x00007ff3c3233dd3 _PyEval_EvalFrameDefault 
#99  0x00007ff3c323c094  
#100 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#101 0x00007ff3c30e958d _PyObject_Call_Prepend 
#102 0x00007ff3c3109150  
#103 0x00007ff3c30e917c _PyObject_MakeTpCall 
#104 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#105 0x00007ff3c323c094  
#106 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#107 0x00007ff3c30e958d _PyObject_Call_Prepend 
#108 0x00007ff3c3109150  
#109 0x00007ff3c30e917c _PyObject_MakeTpCall 
#110 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#111 0x00007ff3c323c094  
#112 0x00007ff3c30e92f1 _PyObject_FastCallDictTstate 
#113 0x00007ff3c30e958d _PyObject_Call_Prepend 
#114 0x00007ff3c3109150  
#115 0x00007ff3c30e917c _PyObject_MakeTpCall 
#116 0x00007ff3c32335a2 _PyEval_EvalFrameDefault 
#117 0x00007ff3c323c094  
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````

The fix implements two key changes.

1. **Hook functions (`memalloc_alloc`, `memalloc_realloc`)**: Snapshot the allocator struct locally before use and guard indirect function calls with `NULL` checks. This prevents crashes if a partially-written struct is observed during a start/stop race.

2. **Start/stop operations (`memalloc_start`, `memalloc_stop`)**: Use local variables and single assignments when publishing the allocator struct to `global_memalloc_ctx.pymem_allocator_obj`. This ensures concurrent hook calls observe either the old or new struct, never a partially-written intermediate state.

The real root cause is that `PyMem_GetAllocator` is not documented as atomic, and the struct could be read field-by-field while being written to concurrently.  By using local copies and single assignments, we ensure atomicity at the C level and prevent observation of inconsistent state.

Co-authored-by: thomas.kowalski <thomas.kowalski@datadoghq.com>
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@ross @clutchski