Conversation
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| with tracer.trace("cassandra.query", service=service, span_type=cassx.TYPE) as span: | ||
| span.resource = _sanitize_query(query) | ||
| span = _sanitize_query(span, query) |
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_sanitize_query both alter and return span.
Could we just do _sanitize_query(span, query) and return nothing? At least that would make it clear.
| end | ||
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| task :down do | ||
| sh "docker-compose kill" |
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we can use docker-compose down instead of kill. It will delete the containers after killing them (not the image)
| if ps: | ||
| resource = getattr(ps, 'query_string', None) | ||
| else: | ||
| resource = 'unknown-query-type' # FIXME[matt] what else do to here? |
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In this way aren't we setting as a resource unknown-query-type for all queries that aren't in the list above? I mean we're failing tests because of that. Is it the expected behavior?
Failure example:
======================================================================
FAIL: tests.contrib.cassandra.test.TestCassPatchAll.test_get_traced_cassandra
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/ubuntu/dd-trace-py/.tox/py34-cassandra/lib/python3.4/site-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/home/ubuntu/dd-trace-py/tests/contrib/cassandra/test.py", line 78, in test_get_traced_cassandra
eq_(query.resource, self.TEST_QUERY)
nose.proxy.AssertionError: 'unknown-query-type' != 'SELECT * from test.person'
-------------------- >> begin captured logging << --------------------
cassandra.policies: INFO: Using datacenter 'datacenter1' for DCAwareRoundRobinPolicy (via host '127.0.0.1'); if incorrect, please specify a local_dc to the constructor, or limit contact points to local cluster nodes
ddtrace.encoding: DEBUG: using Msgpack encoder
ddtrace.encoding: DEBUG: using Msgpack encoder
ddtrace.encoding: DEBUG: using JSON encoder; application performance may be degraded
ddtrace.encoding: DEBUG: using Msgpack encoder
cassandra.policies: INFO: Using datacenter 'datacenter1' for DCAwareRoundRobinPolicy (via host '127.0.0.1'); if incorrect, please specify a local_dc to the constructor, or limit contact points to local cluster nodes
--------------------- >> end captured logging << ---------------------
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+1 looks like this else is invalid.
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looks like this triggers on the not newest version of the lib. will add more testing.
…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 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_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>
…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 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_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 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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>
…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>
Should fix #126