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feat(profiling): support Python 3.14 #15546

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@taegyunkim taegyunkim commented Dec 7, 2025 •
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Description

This PR adds support for Python 3.14 in the profiler by updating it to handle CPython internal changes.

Key CPython changes addressed

_PyInterpreterFrame Structure Changes

  1. Moved from Include/internal/pycore_frame.h to Include/internal/pycore_interpframe_structs.h
  2. PyObject *f_executable and PyObject *f_funcobj changed to _PyStackRef type. Profilers like us now need to clear the LSB of these fields to get the PyObject*. See Use deferred reference counting in some _PyInterpreterFrame fields python/cpython#123923 for details
  3. int stacktop field removed, replaced with _PyStackRef *stackpointer pointer. See GH-120024: Use pointer for stack pointer python/cpython#121923 (GH-120024) for details
  4. PyObject *localsplus[1] changed to _PyStackRef localsplus[1]. See gh-117139: Convert the evaluation stack to stack refs python/cpython#118450 (gh-117139) for details

FutureObj/TaskObj Changes

  1. Added fields: awaited_by, is_task, awaited_by_is_set in FutureObj_HEAD macro
  2. Added struct llist_node_task_node field for linked-list storage

Asyncio Task Storage Changes

Prior to Python 3.14,

  • All tasks are stored in _scheduled_tasks WeakSet (exported from C extension)
  • Eager tasks are stored in _eager_tasks set (exported from C extension)

From Python 3.14,

  • Native asyncio.Tasks are stored in a linked-list (struct llist_node) per thread and per interpreter
    • Per-thread: tstate->asyncio_tasks_head (in _PyThreadStateImpl)
    • Per-interpreter: interp->asyncio_tasks_head (for lingering tasks)
    • Each TaskObj has a task_node field with next and prev pointers
  • Third-party tasks: Still stored in Python-level _scheduled_tasks WeakSet (now Python-only, not exported from C extension)
  • Eager tasks: Still stored in Python-level _eager_tasks set

Implementation Summary

  • Frame reading (frame.h, frame.cc): Updated header includes to use pycore_interpframe_structs.h for Python 3.14+. Implemented tagged pointer handling: clear LSB of f_executable to recover PyObject* (per gh-123923). Replaced stacktop field access with stackpointer pointer arithmetic for stack depth calculation. Updated PyGen_yf() to use _PyStackRef and stackpointer[-1] instead of localsplus[stacktop-1]. Added handling for FRAME_OWNED_BY_INTERPRETER frame type (introduced in 3.14).

  • Task structures (cpython/tasks.h): Added Python 3.14+ FutureObj_HEAD macro with new fields: awaited_by, is_task, awaited_by_is_set. Added struct llist_node task_node field to TaskObj for linked-list storage. Updated PyGen_yf() implementation to handle _PyStackRef and stackpointer instead of stacktop.

  • Asyncio discovery (tasks.h, threads.h): Implemented get_tasks_from_linked_list() to safely iterate over circular linked-lists with iteration limits (MAX_ITERATIONS = 2 << 15). Added get_tasks_from_thread_linked_list() to read tasks from _PyThreadStateImpl.asyncio_tasks_head (per-thread active tasks). Added get_tasks_from_interpreter_linked_list() to read lingering tasks from PyInterpreterState.asyncio_tasks_head (per-interpreter). Updated get_all_tasks() to handle both linked-list (native asyncio.Task instances) and WeakSet (third-party tasks). Changed ThreadStateType typedef to _PyThreadStateImpl* for Python 3.14+ to access asyncio_tasks_head directly. Updated for_each_thread() to copy _PyThreadStateImpl instead of PyThreadState for 3.14+.

  • Python integration (_asyncio.py): Added compatibility handling for BaseDefaultEventLoopPolicy → _BaseDefaultEventLoopPolicy rename in 3.14. Updated _scheduled_tasks access to handle Python-only WeakSet (no longer exported from C extension in 3.14+).

Testing

All existing tests pass except for these which needed some modifications, see comments in these files

  1. tests/profiling/collector/test_asyncio_as_completed.py
  2. tests/profiling/collector/test_generators.py
  3. tests/profiling/collector/test_memalloc.py

Risks

Additional Notes

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github-actions bot commented Dec 7, 2025 •
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CODEOWNERS have been resolved as:

.riot/requirements/173f5b3.txt                                          @DataDog/apm-python
.riot/requirements/1a4c947.txt                                          @DataDog/apm-python
.riot/requirements/72ed1ec.txt                                          @DataDog/apm-python
releasenotes/notes/profiling-314-support-bc850ac5330c27fc.yaml          @DataDog/apm-python
ddtrace/internal/datadog/profiling/stack_v2/echion/echion/cpython/tasks.h  @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/echion/echion/frame.h       @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/echion/echion/greenlets.h   @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/echion/echion/state.h       @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/echion/echion/tasks.h       @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/echion/echion/threads.h     @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/src/echion/frame.cc         @DataDog/profiling-python
ddtrace/internal/datadog/profiling/stack_v2/src/sampler.cpp             @DataDog/profiling-python
ddtrace/internal/settings/profiling.py                                  @DataDog/profiling-python
ddtrace/profiling/_asyncio.py                                           @DataDog/profiling-python
riotfile.py                                                             @DataDog/apm-python
setup.py                                                                @DataDog/python-guild
tests/internal/test_serverless.py                                       @DataDog/apm-core-python @DataDog/apm-serverless @DataDog/asm-python
tests/profiling/collector/test_asyncio_as_completed.py                  @DataDog/profiling-python
tests/profiling/collector/test_generators.py                            @DataDog/profiling-python
tests/profiling/collector/test_memalloc.py                              @DataDog/profiling-python
tests/smoke_test.py                                                     @DataDog/python-guild
tests/telemetry/test_writer.py                                          @DataDog/apm-python

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github-actions bot commented Dec 8, 2025 •
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Bootstrap import analysis

Comparison of import times between this PR and base.

Summary

The average import time from this PR is: 252 ± 5 ms.

The average import time from base is: 255 ± 4 ms.

The import time difference between this PR and base is: -3.1 ± 0.2 ms.

Import time breakdown

The following import paths have shrunk:

ddtrace.auto 2.692 ms (1.07%)
ddtrace 1.367 ms (0.54%)
ddtrace._logger 0.680 ms (0.27%)
ddtrace.internal.telemetry 0.680 ms (0.27%)
ddtrace.internal.telemetry.writer 0.680 ms (0.27%)
ddtrace.internal.utils.version 0.680 ms (0.27%)
ddtrace.version 0.680 ms (0.27%)
ddtrace.internal._unpatched 0.031 ms (0.01%)
json 0.031 ms (0.01%)
json.decoder 0.031 ms (0.01%)
re 0.031 ms (0.01%)
enum 0.031 ms (0.01%)
types 0.031 ms (0.01%)
ddtrace.bootstrap.sitecustomize 1.326 ms (0.53%)
ddtrace.bootstrap.preload 1.326 ms (0.53%)
ddtrace.internal.remoteconfig.client 0.634 ms (0.25%)

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Performance SLOs

Comparing candidate taegyunkim/prof-12435-py314 (cc21de7) with baseline main (7bff945)

📈 Performance Regressions (2 suites)
📈 iastaspectsospath - 24/24

✅ ospathbasename_aspect

Time: ✅ 5.148µs (SLO: <10.000µs 📉 -48.5%) vs baseline: 📈 +21.4%

Memory: ✅ 38.653MB (SLO: <41.000MB -5.7%) vs baseline: +5.0%

✅ ospathbasename_noaspect

Time: ✅ 1.086µs (SLO: <10.000µs 📉 -89.1%) vs baseline: +0.6%

Memory: ✅ 38.555MB (SLO: <41.000MB -6.0%) vs baseline: +4.9%

✅ ospathjoin_aspect

Time: ✅ 6.118µs (SLO: <10.000µs 📉 -38.8%) vs baseline: +1.6%

Memory: ✅ 38.594MB (SLO: <41.000MB -5.9%) vs baseline: +5.4%

✅ ospathjoin_noaspect

Time: ✅ 2.301µs (SLO: <10.000µs 📉 -77.0%) vs baseline: +0.6%

Memory: ✅ 38.339MB (SLO: <41.000MB -6.5%) vs baseline: +4.2%

✅ ospathnormcase_aspect

Time: ✅ 3.479µs (SLO: <10.000µs 📉 -65.2%) vs baseline: +0.2%

Memory: ✅ 38.594MB (SLO: <41.000MB -5.9%) vs baseline: +5.0%

✅ ospathnormcase_noaspect

Time: ✅ 0.575µs (SLO: <10.000µs 📉 -94.3%) vs baseline: +0.3%

Memory: ✅ 38.614MB (SLO: <41.000MB -5.8%) vs baseline: +5.0%

✅ ospathsplit_aspect

Time: ✅ 4.843µs (SLO: <10.000µs 📉 -51.6%) vs baseline: -0.2%

Memory: ✅ 38.516MB (SLO: <41.000MB -6.1%) vs baseline: +4.8%

✅ ospathsplit_noaspect

Time: ✅ 1.594µs (SLO: <10.000µs 📉 -84.1%) vs baseline: +0.1%

Memory: ✅ 38.535MB (SLO: <41.000MB -6.0%) vs baseline: +4.4%

✅ ospathsplitdrive_aspect

Time: ✅ 3.652µs (SLO: <10.000µs 📉 -63.5%) vs baseline: -1.4%

Memory: ✅ 38.594MB (SLO: <41.000MB -5.9%) vs baseline: +5.0%

✅ ospathsplitdrive_noaspect

Time: ✅ 0.705µs (SLO: <10.000µs 📉 -93.0%) vs baseline: +0.6%

Memory: ✅ 38.535MB (SLO: <41.000MB -6.0%) vs baseline: +4.7%

✅ ospathsplitext_aspect

Time: ✅ 4.585µs (SLO: <10.000µs 📉 -54.1%) vs baseline: +0.6%

Memory: ✅ 38.614MB (SLO: <41.000MB -5.8%) vs baseline: +4.9%

✅ ospathsplitext_noaspect

Time: ✅ 1.390µs (SLO: <10.000µs 📉 -86.1%) vs baseline: +0.5%

Memory: ✅ 38.594MB (SLO: <41.000MB -5.9%) vs baseline: +4.8%

📈 telemetryaddmetric - 30/30

✅ 1-count-metric-1-times

Time: ✅ 3.326µs (SLO: <20.000µs 📉 -83.4%) vs baseline: 📈 +15.2%

Memory: ✅ 34.918MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +4.5%

✅ 1-count-metrics-100-times

Time: ✅ 198.610µs (SLO: <220.000µs -9.7%) vs baseline: -1.0%

Memory: ✅ 34.937MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +4.7%

✅ 1-distribution-metric-1-times

Time: ✅ 3.178µs (SLO: <20.000µs 📉 -84.1%) vs baseline: -0.4%

Memory: ✅ 34.662MB (SLO: <35.500MB -2.4%) vs baseline: +3.6%

✅ 1-distribution-metrics-100-times

Time: ✅ 213.075µs (SLO: <230.000µs -7.4%) vs baseline: -1.5%

Memory: ✅ 35.036MB (SLO: <35.500MB 🟡 -1.3%) vs baseline: +4.8%

✅ 1-gauge-metric-1-times

Time: ✅ 2.156µs (SLO: <20.000µs 📉 -89.2%) vs baseline: -0.5%

Memory: ✅ 34.977MB (SLO: <35.500MB 🟡 -1.5%) vs baseline: +4.7%

✅ 1-gauge-metrics-100-times

Time: ✅ 137.541µs (SLO: <150.000µs -8.3%) vs baseline: +0.8%

Memory: ✅ 35.036MB (SLO: <35.500MB 🟡 -1.3%)

✅ 1-rate-metric-1-times

Time: ✅ 2.997µs (SLO: <20.000µs 📉 -85.0%) vs baseline: -1.0%

Memory: ✅ 34.819MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.3%

✅ 1-rate-metrics-100-times

Time: ✅ 212.490µs (SLO: <250.000µs 📉 -15.0%) vs baseline: -1.6%

Memory: ✅ 34.918MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +4.5%

✅ 100-count-metrics-100-times

Time: ✅ 20.099ms (SLO: <22.000ms -8.6%) vs baseline: +0.8%

Memory: ✅ 34.760MB (SLO: <35.500MB -2.1%) vs baseline: +5.0%

✅ 100-distribution-metrics-100-times

Time: ✅ 2.211ms (SLO: <2.550ms 📉 -13.3%) vs baseline: -0.3%

Memory: ✅ 35.055MB (SLO: <35.500MB 🟡 -1.3%) vs baseline: +4.8%

✅ 100-gauge-metrics-100-times

Time: ✅ 1.411ms (SLO: <1.550ms -8.9%) vs baseline: +0.5%

Memory: ✅ 34.721MB (SLO: <35.500MB -2.2%) vs baseline: +4.8%

✅ 100-rate-metrics-100-times

Time: ✅ 2.183ms (SLO: <2.550ms 📉 -14.4%) vs baseline: ~same

Memory: ✅ 34.721MB (SLO: <35.500MB -2.2%) vs baseline: +4.8%

✅ flush-1-metric

Time: ✅ 4.540µs (SLO: <20.000µs 📉 -77.3%) vs baseline: +0.3%

Memory: ✅ 35.095MB (SLO: <35.500MB 🟡 -1.1%) vs baseline: +5.1%

✅ flush-100-metrics

Time: ✅ 173.311µs (SLO: <250.000µs 📉 -30.7%) vs baseline: -0.2%

Memory: ✅ 35.134MB (SLO: <35.500MB 🟡 -1.0%) vs baseline: +4.9%

✅ flush-1000-metrics

Time: ✅ 2.174ms (SLO: <2.500ms 📉 -13.0%) vs baseline: -0.1%

Memory: ✅ 35.920MB (SLO: <36.500MB 🟡 -1.6%) vs baseline: +4.6%

🟡 Near SLO Breach (14 suites)
🟡 djangosimple - 30/30

✅ appsec

Time: ✅ 19.653ms (SLO: <22.300ms 📉 -11.9%) vs baseline: +0.4%

Memory: ✅ 68.203MB (SLO: <70.500MB -3.3%) vs baseline: +4.9%

✅ exception-replay-enabled

Time: ✅ 1.364ms (SLO: <1.450ms -5.9%) vs baseline: +0.5%

Memory: ✅ 66.249MB (SLO: <67.500MB 🟡 -1.9%) vs baseline: +4.8%

✅ iast

Time: ✅ 19.632ms (SLO: <22.250ms 📉 -11.8%) vs baseline: +0.6%

Memory: ✅ 68.243MB (SLO: <70.000MB -2.5%) vs baseline: +5.0%

✅ profiler

Time: ✅ 15.471ms (SLO: <16.550ms -6.5%) vs baseline: +0.6%

Memory: ✅ 56.436MB (SLO: <57.500MB 🟡 -1.8%) vs baseline: +5.1%

✅ resource-renaming

Time: ✅ 19.547ms (SLO: <21.750ms 📉 -10.1%) vs baseline: +0.4%

Memory: ✅ 68.184MB (SLO: <70.500MB -3.3%) vs baseline: +5.0%

✅ span-code-origin

Time: ✅ 19.875ms (SLO: <28.200ms 📉 -29.5%) vs baseline: +0.5%

Memory: ✅ 68.120MB (SLO: <71.000MB -4.1%) vs baseline: +4.9%

✅ tracer

Time: ✅ 19.661ms (SLO: <21.750ms -9.6%) vs baseline: +0.7%

Memory: ✅ 68.164MB (SLO: <70.000MB -2.6%) vs baseline: +4.9%

✅ tracer-and-profiler

Time: ✅ 21.759ms (SLO: <23.500ms -7.4%) vs baseline: -0.1%

Memory: ✅ 69.206MB (SLO: <71.000MB -2.5%) vs baseline: +4.8%

✅ tracer-dont-create-db-spans

Time: ✅ 19.652ms (SLO: <21.500ms -8.6%) vs baseline: +0.2%

Memory: ✅ 68.243MB (SLO: <70.000MB -2.5%) vs baseline: +5.0%

✅ tracer-minimal

Time: ✅ 16.831ms (SLO: <17.500ms -3.8%) vs baseline: +0.4%

Memory: ✅ 67.755MB (SLO: <70.000MB -3.2%) vs baseline: +4.6%

✅ tracer-native

Time: ✅ 19.495ms (SLO: <21.750ms 📉 -10.4%) vs baseline: -0.1%

Memory: ✅ 68.184MB (SLO: <72.500MB -6.0%) vs baseline: +4.7%

✅ tracer-no-caches

Time: ✅ 17.616ms (SLO: <19.650ms 📉 -10.4%) vs baseline: -0.1%

Memory: ✅ 68.164MB (SLO: <70.000MB -2.6%) vs baseline: +5.1%

✅ tracer-no-databases

Time: ✅ 19.168ms (SLO: <20.100ms -4.6%) vs baseline: +0.5%

Memory: ✅ 67.771MB (SLO: <70.000MB -3.2%) vs baseline: +4.8%

✅ tracer-no-middleware

Time: ✅ 19.372ms (SLO: <21.500ms -9.9%) vs baseline: +0.7%

Memory: ✅ 68.164MB (SLO: <70.000MB -2.6%) vs baseline: +4.8%

✅ tracer-no-templates

Time: ✅ 19.565ms (SLO: <22.000ms 📉 -11.1%) vs baseline: +1.1%

Memory: ✅ 68.156MB (SLO: <70.500MB -3.3%) vs baseline: +4.8%

🟡 errortrackingdjangosimple - 6/6

✅ errortracking-enabled-all

Time: ✅ 16.363ms (SLO: <19.850ms 📉 -17.6%) vs baseline: ~same

Memory: ✅ 69.835MB (SLO: <70.000MB 🟡 -0.2%) vs baseline: +4.8%

✅ errortracking-enabled-user

Time: ✅ 16.379ms (SLO: <19.400ms 📉 -15.6%) vs baseline: +0.3%

Memory: ✅ 69.796MB (SLO: <70.000MB 🟡 -0.3%) vs baseline: +4.8%

✅ tracer-enabled

Time: ✅ 16.354ms (SLO: <19.450ms 📉 -15.9%) vs baseline: -0.1%

Memory: ✅ 69.855MB (SLO: <70.000MB 🟡 -0.2%) vs baseline: +5.0%

🟡 errortrackingflasksqli - 6/6

✅ errortracking-enabled-all

Time: ✅ 2.068ms (SLO: <2.300ms 📉 -10.1%) vs baseline: -0.1%

Memory: ✅ 55.758MB (SLO: <56.500MB 🟡 -1.3%) vs baseline: +4.9%

✅ errortracking-enabled-user

Time: ✅ 2.074ms (SLO: <2.250ms -7.8%) vs baseline: ~same

Memory: ✅ 55.758MB (SLO: <56.500MB 🟡 -1.3%) vs baseline: +5.0%

✅ tracer-enabled

Time: ✅ 2.064ms (SLO: <2.300ms 📉 -10.3%) vs baseline: +0.1%

Memory: ✅ 55.738MB (SLO: <56.500MB 🟡 -1.3%) vs baseline: +4.9%

🟡 flasksimple - 18/18

✅ appsec-get

Time: ✅ 3.371ms (SLO: <4.750ms 📉 -29.0%) vs baseline: -0.5%

Memory: ✅ 55.511MB (SLO: <66.500MB 📉 -16.5%) vs baseline: +4.9%

✅ appsec-post

Time: ✅ 2.860ms (SLO: <6.750ms 📉 -57.6%) vs baseline: ~same

Memory: ✅ 55.862MB (SLO: <66.500MB 📉 -16.0%) vs baseline: +5.1%

✅ appsec-telemetry

Time: ✅ 3.411ms (SLO: <4.750ms 📉 -28.2%) vs baseline: +0.9%

Memory: ✅ 55.547MB (SLO: <66.500MB 📉 -16.5%) vs baseline: +5.0%

✅ debugger

Time: ✅ 1.873ms (SLO: <2.000ms -6.4%) vs baseline: +0.2%

Memory: ✅ 47.919MB (SLO: <49.500MB -3.2%) vs baseline: +4.8%

✅ iast-get

Time: ✅ 1.856ms (SLO: <2.000ms -7.2%) vs baseline: ~same

Memory: ✅ 44.577MB (SLO: <49.000MB -9.0%) vs baseline: +4.7%

✅ profiler

Time: ✅ 1.909ms (SLO: <2.100ms -9.1%) vs baseline: ~same

Memory: ✅ 48.881MB (SLO: <50.000MB -2.2%) vs baseline: +4.9%

✅ resource-renaming

Time: ✅ 3.354ms (SLO: <3.650ms -8.1%) vs baseline: ~same

Memory: ✅ 55.470MB (SLO: <56.000MB 🟡 -0.9%) vs baseline: +4.7%

✅ tracer

Time: ✅ 3.365ms (SLO: <3.650ms -7.8%) vs baseline: -0.2%

Memory: ✅ 55.489MB (SLO: <56.500MB 🟡 -1.8%) vs baseline: +4.8%

✅ tracer-native

Time: ✅ 3.372ms (SLO: <3.650ms -7.6%) vs baseline: ~same

Memory: ✅ 55.510MB (SLO: <60.000MB -7.5%) vs baseline: +4.8%

🟡 flasksqli - 6/6

✅ appsec-enabled

Time: ✅ 2.061ms (SLO: <4.200ms 📉 -50.9%) vs baseline: ~same

Memory: ✅ 55.797MB (SLO: <66.000MB 📉 -15.5%) vs baseline: +4.9%

✅ iast-enabled

Time: ✅ 2.073ms (SLO: <2.800ms 📉 -26.0%) vs baseline: +0.2%

Memory: ✅ 55.778MB (SLO: <62.500MB 📉 -10.8%) vs baseline: +4.7%

✅ tracer-enabled

Time: ✅ 2.054ms (SLO: <2.250ms -8.7%) vs baseline: ~same

Memory: ✅ 55.817MB (SLO: <56.500MB 🟡 -1.2%) vs baseline: +4.9%

🟡 httppropagationextract - 60/60

✅ all_styles_all_headers

Time: ✅ 81.117µs (SLO: <100.000µs 📉 -18.9%) vs baseline: -0.7%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.9%

✅ b3_headers

Time: ✅ 14.142µs (SLO: <20.000µs 📉 -29.3%) vs baseline: -0.1%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.9%

✅ b3_single_headers

Time: ✅ 13.234µs (SLO: <20.000µs 📉 -33.8%) vs baseline: -0.9%

Memory: ✅ 34.819MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.7%

✅ datadog_tracecontext_tracestate_not_propagated_on_trace_id_no_match

Time: ✅ 64.013µs (SLO: <80.000µs 📉 -20.0%) vs baseline: +0.3%

Memory: ✅ 34.839MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +5.1%

✅ datadog_tracecontext_tracestate_propagated_on_trace_id_match

Time: ✅ 66.248µs (SLO: <80.000µs 📉 -17.2%) vs baseline: ~same

Memory: ✅ 34.878MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +5.0%

✅ empty_headers

Time: ✅ 1.618µs (SLO: <10.000µs 📉 -83.8%) vs baseline: -0.3%

Memory: ✅ 34.780MB (SLO: <35.500MB -2.0%) vs baseline: +4.7%

✅ full_t_id_datadog_headers

Time: ✅ 22.465µs (SLO: <30.000µs 📉 -25.1%) vs baseline: ~same

Memory: ✅ 34.819MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.7%

✅ invalid_priority_header

Time: ✅ 6.539µs (SLO: <10.000µs 📉 -34.6%) vs baseline: -0.3%

Memory: ✅ 34.780MB (SLO: <35.500MB -2.0%) vs baseline: +4.7%

✅ invalid_span_id_header

Time: ✅ 6.560µs (SLO: <10.000µs 📉 -34.4%) vs baseline: +0.2%

Memory: ✅ 34.780MB (SLO: <35.500MB -2.0%) vs baseline: +5.1%

✅ invalid_tags_header

Time: ✅ 6.533µs (SLO: <10.000µs 📉 -34.7%) vs baseline: ~same

Memory: ✅ 34.878MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +5.0%

✅ invalid_trace_id_header

Time: ✅ 6.502µs (SLO: <10.000µs 📉 -35.0%) vs baseline: -0.5%

Memory: ✅ 34.780MB (SLO: <35.500MB -2.0%) vs baseline: +4.6%

✅ large_header_no_matches

Time: ✅ 27.451µs (SLO: <30.000µs -8.5%) vs baseline: -0.6%

Memory: ✅ 34.780MB (SLO: <35.500MB -2.0%) vs baseline: +4.6%

✅ large_valid_headers_all

Time: ✅ 28.760µs (SLO: <40.000µs 📉 -28.1%) vs baseline: -0.8%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.6%

✅ medium_header_no_matches

Time: ✅ 9.848µs (SLO: <20.000µs 📉 -50.8%) vs baseline: -0.8%

Memory: ✅ 34.819MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.9%

✅ medium_valid_headers_all

Time: ✅ 11.302µs (SLO: <20.000µs 📉 -43.5%) vs baseline: ~same

Memory: ✅ 34.819MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.6%

✅ none_propagation_style

Time: ✅ 1.731µs (SLO: <10.000µs 📉 -82.7%) vs baseline: +0.5%

Memory: ✅ 34.780MB (SLO: <35.500MB -2.0%) vs baseline: +4.4%

✅ tracecontext_headers

Time: ✅ 34.849µs (SLO: <40.000µs 📉 -12.9%) vs baseline: +0.2%

Memory: ✅ 34.819MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.9%

✅ valid_headers_all

Time: ✅ 6.505µs (SLO: <10.000µs 📉 -34.9%) vs baseline: -0.5%

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +5.1%

✅ valid_headers_basic

Time: ✅ 6.082µs (SLO: <10.000µs 📉 -39.2%) vs baseline: -0.6%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.9%

✅ wsgi_empty_headers

Time: ✅ 1.634µs (SLO: <10.000µs 📉 -83.7%) vs baseline: +0.4%

Memory: ✅ 34.780MB (SLO: <35.500MB -2.0%) vs baseline: +4.6%

✅ wsgi_invalid_priority_header

Time: ✅ 6.598µs (SLO: <10.000µs 📉 -34.0%) vs baseline: +0.2%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.9%

✅ wsgi_invalid_span_id_header

Time: ✅ 1.618µs (SLO: <10.000µs 📉 -83.8%) vs baseline: ~same

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +5.0%

✅ wsgi_invalid_tags_header

Time: ✅ 6.534µs (SLO: <10.000µs 📉 -34.7%) vs baseline: -0.6%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.6%

✅ wsgi_invalid_trace_id_header

Time: ✅ 6.628µs (SLO: <10.000µs 📉 -33.7%) vs baseline: +1.5%

Memory: ✅ 34.839MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.6%

✅ wsgi_large_header_no_matches

Time: ✅ 28.765µs (SLO: <40.000µs 📉 -28.1%) vs baseline: ~same

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +5.0%

✅ wsgi_large_valid_headers_all

Time: ✅ 29.870µs (SLO: <40.000µs 📉 -25.3%) vs baseline: -0.1%

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +5.0%

✅ wsgi_medium_header_no_matches

Time: ✅ 10.197µs (SLO: <20.000µs 📉 -49.0%) vs baseline: -0.3%

Memory: ✅ 34.878MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.6%

✅ wsgi_medium_valid_headers_all

Time: ✅ 11.689µs (SLO: <20.000µs 📉 -41.6%) vs baseline: -0.5%

Memory: ✅ 34.839MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.7%

✅ wsgi_valid_headers_all

Time: ✅ 6.549µs (SLO: <10.000µs 📉 -34.5%) vs baseline: -0.6%

Memory: ✅ 34.878MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +5.0%

✅ wsgi_valid_headers_basic

Time: ✅ 6.115µs (SLO: <10.000µs 📉 -38.8%) vs baseline: -0.3%

Memory: ✅ 34.819MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.4%

🟡 httppropagationinject - 16/16

✅ ids_only

Time: ✅ 21.940µs (SLO: <30.000µs 📉 -26.9%) vs baseline: +5.2%

Memory: ✅ 34.819MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.9%

✅ with_all

Time: ✅ 27.591µs (SLO: <40.000µs 📉 -31.0%) vs baseline: -0.3%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.7%

✅ with_dd_origin

Time: ✅ 24.640µs (SLO: <30.000µs 📉 -17.9%) vs baseline: -0.2%

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +5.1%

✅ with_priority_and_origin

Time: ✅ 23.893µs (SLO: <40.000µs 📉 -40.3%) vs baseline: -0.2%

Memory: ✅ 34.878MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +5.1%

✅ with_sampling_priority

Time: ✅ 20.740µs (SLO: <30.000µs 📉 -30.9%) vs baseline: -0.4%

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +5.0%

✅ with_tags

Time: ✅ 25.692µs (SLO: <40.000µs 📉 -35.8%) vs baseline: -0.9%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +5.2%

✅ with_tags_invalid

Time: ✅ 27.122µs (SLO: <40.000µs 📉 -32.2%) vs baseline: +0.1%

Memory: ✅ 34.800MB (SLO: <35.500MB 🟡 -2.0%) vs baseline: +4.7%

✅ with_tags_max_size

Time: ✅ 26.234µs (SLO: <40.000µs 📉 -34.4%) vs baseline: +0.3%

Memory: ✅ 34.918MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +5.1%

🟡 otelspan - 22/22

✅ add-event

Time: ✅ 40.391ms (SLO: <47.150ms 📉 -14.3%) vs baseline: +0.3%

Memory: ✅ 39.522MB (SLO: <47.000MB 📉 -15.9%) vs baseline: +5.1%

✅ add-metrics

Time: ✅ 259.957ms (SLO: <344.800ms 📉 -24.6%) vs baseline: -0.4%

Memory: ✅ 43.736MB (SLO: <47.500MB -7.9%) vs baseline: +4.8%

✅ add-tags

Time: ✅ 315.854ms (SLO: <321.000ms 🟡 -1.6%) vs baseline: -0.1%

Memory: ✅ 43.768MB (SLO: <47.500MB -7.9%) vs baseline: +5.2%

✅ get-context

Time: ✅ 80.337ms (SLO: <92.350ms 📉 -13.0%) vs baseline: ~same

Memory: ✅ 39.820MB (SLO: <46.500MB 📉 -14.4%) vs baseline: +4.8%

✅ is-recording

Time: ✅ 37.989ms (SLO: <44.500ms 📉 -14.6%) vs baseline: -0.3%

Memory: ✅ 39.533MB (SLO: <47.500MB 📉 -16.8%) vs baseline: +4.8%

✅ record-exception

Time: ✅ 58.890ms (SLO: <67.650ms 📉 -12.9%) vs baseline: -0.3%

Memory: ✅ 39.944MB (SLO: <47.000MB 📉 -15.0%) vs baseline: +5.0%

✅ set-status

Time: ✅ 44.294ms (SLO: <50.400ms 📉 -12.1%) vs baseline: ~same

Memory: ✅ 39.509MB (SLO: <47.000MB 📉 -15.9%) vs baseline: +5.1%

✅ start

Time: ✅ 38.149ms (SLO: <43.450ms 📉 -12.2%) vs baseline: +2.5%

Memory: ✅ 39.417MB (SLO: <47.000MB 📉 -16.1%) vs baseline: +4.7%

✅ start-finish

Time: ✅ 82.911ms (SLO: <88.000ms -5.8%) vs baseline: ~same

Memory: ✅ 37.277MB (SLO: <46.500MB 📉 -19.8%) vs baseline: +4.7%

✅ start-finish-telemetry

Time: ✅ 84.197ms (SLO: <89.000ms -5.4%) vs baseline: ~same

Memory: ✅ 37.415MB (SLO: <46.500MB 📉 -19.5%) vs baseline: +5.4%

✅ update-name

Time: ✅ 38.800ms (SLO: <45.150ms 📉 -14.1%) vs baseline: +0.3%

Memory: ✅ 39.509MB (SLO: <47.000MB 📉 -15.9%) vs baseline: +4.7%

🟡 ratelimiter - 12/12

✅ defaults

Time: ✅ 2.362µs (SLO: <10.000µs 📉 -76.4%) vs baseline: -0.6%

Memory: ✅ 35.075MB (SLO: <35.500MB 🟡 -1.2%) vs baseline: +4.6%

✅ high_rate_limit

Time: ✅ 2.426µs (SLO: <10.000µs 📉 -75.7%) vs baseline: -0.1%

Memory: ✅ 35.075MB (SLO: <35.500MB 🟡 -1.2%) vs baseline: +4.9%

✅ long_window

Time: ✅ 2.380µs (SLO: <10.000µs 📉 -76.2%) vs baseline: +0.7%

Memory: ✅ 35.075MB (SLO: <35.500MB 🟡 -1.2%) vs baseline: +5.0%

✅ low_rate_limit

Time: ✅ 2.358µs (SLO: <10.000µs 📉 -76.4%) vs baseline: +0.4%

Memory: ✅ 35.154MB (SLO: <35.500MB 🟡 -1.0%) vs baseline: +5.1%

✅ no_rate_limit

Time: ✅ 0.827µs (SLO: <10.000µs 📉 -91.7%) vs baseline: +1.1%

Memory: ✅ 35.134MB (SLO: <35.500MB 🟡 -1.0%) vs baseline: +5.1%

✅ short_window

Time: ✅ 2.475µs (SLO: <10.000µs 📉 -75.2%) vs baseline: -0.8%

Memory: ✅ 35.095MB (SLO: <35.500MB 🟡 -1.1%) vs baseline: +4.7%

🟡 recursivecomputation - 8/8

✅ deep

Time: ✅ 308.922ms (SLO: <320.950ms -3.7%) vs baseline: +0.3%

Memory: ✅ 35.842MB (SLO: <36.500MB 🟡 -1.8%) vs baseline: +4.5%

✅ deep-profiled

Time: ✅ 327.767ms (SLO: <359.150ms -8.7%) vs baseline: -0.5%

Memory: ✅ 39.734MB (SLO: <40.500MB 🟡 -1.9%) vs baseline: +4.8%

✅ medium

Time: ✅ 6.990ms (SLO: <7.400ms -5.5%) vs baseline: +0.2%

Memory: ✅ 34.760MB (SLO: <35.500MB -2.1%) vs baseline: +4.7%

✅ shallow

Time: ✅ 0.948ms (SLO: <1.050ms -9.7%) vs baseline: +1.2%

Memory: ✅ 34.721MB (SLO: <35.500MB -2.2%) vs baseline: +4.7%

🟡 samplingrules - 8/8

✅ average_match

Time: ✅ 137.086µs (SLO: <290.000µs 📉 -52.7%) vs baseline: -0.6%

Memory: ✅ 34.682MB (SLO: <35.500MB -2.3%) vs baseline: +4.5%

✅ high_match

Time: ✅ 174.129µs (SLO: <480.000µs 📉 -63.7%) vs baseline: +0.3%

Memory: ✅ 34.839MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +5.0%

✅ low_match

Time: ✅ 98.640µs (SLO: <120.000µs 📉 -17.8%) vs baseline: -0.3%

Memory: ✅ 603.474MB (SLO: <700.000MB 📉 -13.8%) vs baseline: +4.9%

✅ very_low_match

Time: ✅ 2.654ms (SLO: <8.500ms 📉 -68.8%) vs baseline: -0.1%

Memory: ✅ 71.060MB (SLO: <75.000MB -5.3%) vs baseline: +4.9%

🟡 sethttpmeta - 32/32

✅ all-disabled

Time: ✅ 10.648µs (SLO: <20.000µs 📉 -46.8%) vs baseline: +0.9%

Memory: ✅ 35.606MB (SLO: <36.000MB 🟡 -1.1%) vs baseline: +4.8%

✅ all-enabled

Time: ✅ 41.087µs (SLO: <50.000µs 📉 -17.8%) vs baseline: +1.8%

Memory: ✅ 35.330MB (SLO: <36.000MB 🟡 -1.9%) vs baseline: +4.0%

✅ collectipvariant_exists

Time: ✅ 40.984µs (SLO: <50.000µs 📉 -18.0%) vs baseline: ~same

Memory: ✅ 35.232MB (SLO: <36.000MB -2.1%) vs baseline: +3.3%

✅ no-collectipvariant

Time: ✅ 40.112µs (SLO: <50.000µs 📉 -19.8%) vs baseline: -0.5%

Memory: ✅ 35.370MB (SLO: <36.000MB 🟡 -1.8%) vs baseline: +4.0%

✅ no-useragentvariant

Time: ✅ 39.085µs (SLO: <50.000µs 📉 -21.8%) vs baseline: +0.4%

Memory: ✅ 35.409MB (SLO: <36.000MB 🟡 -1.6%) vs baseline: +4.6%

✅ obfuscation-no-query

Time: ✅ 40.812µs (SLO: <50.000µs 📉 -18.4%) vs baseline: +0.2%

Memory: ✅ 35.232MB (SLO: <36.000MB -2.1%) vs baseline: +3.6%

✅ obfuscation-regular-case-explicit-query

Time: ✅ 76.253µs (SLO: <90.000µs 📉 -15.3%) vs baseline: +0.8%

Memory: ✅ 35.625MB (SLO: <36.500MB -2.4%) vs baseline: +4.8%

✅ obfuscation-regular-case-implicit-query

Time: ✅ 76.667µs (SLO: <90.000µs 📉 -14.8%) vs baseline: +0.6%

Memory: ✅ 35.606MB (SLO: <36.500MB -2.5%) vs baseline: +4.6%

✅ obfuscation-send-querystring-disabled

Time: ✅ 154.561µs (SLO: <170.000µs -9.1%) vs baseline: +0.2%

Memory: ✅ 35.625MB (SLO: <36.500MB -2.4%) vs baseline: +4.7%

✅ obfuscation-worst-case-explicit-query

Time: ✅ 148.824µs (SLO: <160.000µs -7.0%) vs baseline: ~same

Memory: ✅ 35.665MB (SLO: <36.500MB -2.3%) vs baseline: +4.8%

✅ obfuscation-worst-case-implicit-query

Time: ✅ 155.435µs (SLO: <170.000µs -8.6%) vs baseline: +0.1%

Memory: ✅ 35.743MB (SLO: <36.500MB -2.1%) vs baseline: +5.0%

✅ useragentvariant_exists_1

Time: ✅ 39.644µs (SLO: <50.000µs 📉 -20.7%) vs baseline: -0.3%

Memory: ✅ 35.291MB (SLO: <36.000MB 🟡 -2.0%) vs baseline: +3.9%

✅ useragentvariant_exists_2

Time: ✅ 40.884µs (SLO: <50.000µs 📉 -18.2%) vs baseline: +0.3%

Memory: ✅ 35.370MB (SLO: <36.000MB 🟡 -1.8%) vs baseline: +4.0%

✅ useragentvariant_exists_3

Time: ✅ 40.246µs (SLO: <50.000µs 📉 -19.5%) vs baseline: -0.2%

Memory: ✅ 35.429MB (SLO: <36.000MB 🟡 -1.6%) vs baseline: +4.2%

✅ useragentvariant_not_exists_1

Time: ✅ 39.683µs (SLO: <50.000µs 📉 -20.6%) vs baseline: -0.2%

Memory: ✅ 35.271MB (SLO: <36.000MB -2.0%) vs baseline: +3.8%

✅ useragentvariant_not_exists_2

Time: ✅ 39.568µs (SLO: <50.000µs 📉 -20.9%) vs baseline: -0.1%

Memory: ✅ 35.389MB (SLO: <36.000MB 🟡 -1.7%) vs baseline: +4.0%

🟡 span - 26/26

✅ add-event

Time: ✅ 18.282ms (SLO: <22.500ms 📉 -18.7%) vs baseline: +0.3%

Memory: ✅ 36.900MB (SLO: <53.000MB 📉 -30.4%) vs baseline: +5.0%

✅ add-metrics

Time: ✅ 88.407ms (SLO: <93.500ms -5.4%) vs baseline: -0.5%

Memory: ✅ 41.052MB (SLO: <53.000MB 📉 -22.5%) vs baseline: +4.7%

✅ add-tags

Time: ✅ 141.663ms (SLO: <155.000ms -8.6%) vs baseline: -0.7%

Memory: ✅ 41.034MB (SLO: <53.000MB 📉 -22.6%) vs baseline: +4.7%

✅ get-context

Time: ✅ 17.046ms (SLO: <20.500ms 📉 -16.8%) vs baseline: +0.1%

Memory: ✅ 36.743MB (SLO: <53.000MB 📉 -30.7%) vs baseline: +4.7%

✅ is-recording

Time: ✅ 17.332ms (SLO: <20.500ms 📉 -15.5%) vs baseline: +0.3%

Memory: ✅ 36.762MB (SLO: <53.000MB 📉 -30.6%) vs baseline: +5.0%

✅ record-exception

Time: ✅ 36.621ms (SLO: <40.000ms -8.4%) vs baseline: +0.4%

Memory: ✅ 37.317MB (SLO: <53.000MB 📉 -29.6%) vs baseline: +4.9%

✅ set-status

Time: ✅ 18.662ms (SLO: <22.000ms 📉 -15.2%) vs baseline: -0.2%

Memory: ✅ 36.683MB (SLO: <53.000MB 📉 -30.8%) vs baseline: +4.7%

✅ start

Time: ✅ 17.338ms (SLO: <20.500ms 📉 -15.4%) vs baseline: +3.0%

Memory: ✅ 36.703MB (SLO: <53.000MB 📉 -30.7%) vs baseline: +4.8%

✅ start-finish

Time: ✅ 50.964ms (SLO: <52.500ms -2.9%) vs baseline: -0.5%

Memory: ✅ 34.760MB (SLO: <35.500MB -2.1%) vs baseline: +4.7%

✅ start-finish-telemetry

Time: ✅ 52.417ms (SLO: <54.500ms -3.8%) vs baseline: +0.3%

Memory: ✅ 34.800MB (SLO: <35.500MB 🟡 -2.0%) vs baseline: +5.0%

✅ start-finish-traceid128

Time: ✅ 54.209ms (SLO: <57.000ms -4.9%) vs baseline: +0.2%

Memory: ✅ 34.760MB (SLO: <35.500MB -2.1%) vs baseline: +4.7%

✅ start-traceid128

Time: ✅ 17.348ms (SLO: <22.500ms 📉 -22.9%) vs baseline: +1.1%

Memory: ✅ 36.745MB (SLO: <53.000MB 📉 -30.7%) vs baseline: +4.9%

✅ update-name

Time: ✅ 17.225ms (SLO: <22.000ms 📉 -21.7%) vs baseline: -0.4%

Memory: ✅ 36.902MB (SLO: <53.000MB 📉 -30.4%) vs baseline: +5.0%

🟡 tracer - 6/6

✅ large

Time: ✅ 29.215ms (SLO: <32.950ms 📉 -11.3%) vs baseline: -0.3%

Memory: ✅ 35.920MB (SLO: <36.500MB 🟡 -1.6%) vs baseline: +4.9%

✅ medium

Time: ✅ 2.891ms (SLO: <3.200ms -9.7%) vs baseline: -0.2%

Memory: ✅ 34.721MB (SLO: <35.500MB -2.2%) vs baseline: +4.9%

✅ small

Time: ✅ 333.144µs (SLO: <370.000µs -10.0%) vs baseline: +2.0%

Memory: ✅ 34.800MB (SLO: <35.500MB 🟡 -2.0%) vs baseline: +5.3%

⚠️ Unstable Tests (2 suites)
⚠️ coreapiscenario - 10/10 (1 unstable)

⚠️ context_with_data_listeners

Time: ⚠️ 13.215µs (SLO: <20.000µs 📉 -33.9%) vs baseline: -0.7%

Memory: ✅ 34.721MB (SLO: <35.500MB -2.2%) vs baseline: +4.9%

✅ context_with_data_no_listeners

Time: ✅ 3.291µs (SLO: <10.000µs 📉 -67.1%) vs baseline: +1.3%

Memory: ✅ 34.760MB (SLO: <35.500MB -2.1%) vs baseline: +5.2%

✅ get_item_exists

Time: ✅ 0.580µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -0.3%

Memory: ✅ 34.760MB (SLO: <35.500MB -2.1%) vs baseline: +5.2%

✅ get_item_missing

Time: ✅ 0.640µs (SLO: <10.000µs 📉 -93.6%) vs baseline: +0.4%

Memory: ✅ 34.701MB (SLO: <35.500MB -2.2%) vs baseline: +5.0%

✅ set_item

Time: ✅ 24.195µs (SLO: <30.000µs 📉 -19.3%) vs baseline: -0.2%

Memory: ✅ 34.701MB (SLO: <35.500MB -2.2%) vs baseline: +4.9%

⚠️ packagesupdateimporteddependencies - 24/24 (1 unstable)

✅ import_many

Time: ✅ 155.301µs (SLO: <170.000µs -8.6%) vs baseline: +0.3%

Memory: ✅ 39.296MB (SLO: <41.000MB -4.2%) vs baseline: +5.1%

✅ import_many_cached

Time: ✅ 120.774µs (SLO: <130.000µs -7.1%) vs baseline: -1.0%

Memory: ✅ 39.528MB (SLO: <41.000MB -3.6%) vs baseline: +5.3%

✅ import_many_stdlib

Time: ✅ 0.751ms (SLO: <1.750ms 📉 -57.1%) vs baseline: -0.4%

Memory: ✅ 39.633MB (SLO: <41.000MB -3.3%) vs baseline: +5.7%

⚠️ import_many_stdlib_cached

Time: ⚠️ 0.173ms (SLO: <1.100ms 📉 -84.3%) vs baseline: +0.1%

Memory: ✅ 39.510MB (SLO: <41.000MB -3.6%) vs baseline: +4.9%

✅ import_many_unknown

Time: ✅ 833.912µs (SLO: <890.000µs -6.3%) vs baseline: +0.6%

Memory: ✅ 39.427MB (SLO: <41.000MB -3.8%) vs baseline: +4.8%

✅ import_many_unknown_cached

Time: ✅ 791.396µs (SLO: <870.000µs -9.0%) vs baseline: ~same

Memory: ✅ 39.398MB (SLO: <41.000MB -3.9%) vs baseline: +4.6%

✅ import_one

Time: ✅ 19.679µs (SLO: <30.000µs 📉 -34.4%) vs baseline: +0.7%

Memory: ✅ 39.567MB (SLO: <41.000MB -3.5%) vs baseline: +5.0%

✅ import_one_cache

Time: ✅ 6.254µs (SLO: <10.000µs 📉 -37.5%) vs baseline: -0.6%

Memory: ✅ 39.268MB (SLO: <41.000MB -4.2%) vs baseline: +4.1%

✅ import_one_stdlib

Time: ✅ 18.726µs (SLO: <20.000µs -6.4%) vs baseline: +1.0%

Memory: ✅ 39.354MB (SLO: <41.000MB -4.0%) vs baseline: +4.5%

✅ import_one_stdlib_cache

Time: ✅ 6.269µs (SLO: <10.000µs 📉 -37.3%) vs baseline: -0.1%

Memory: ✅ 39.420MB (SLO: <41.000MB -3.9%) vs baseline: +5.0%

✅ import_one_unknown

Time: ✅ 45.298µs (SLO: <50.000µs -9.4%) vs baseline: +0.3%

Memory: ✅ 39.422MB (SLO: <41.000MB -3.8%) vs baseline: +5.2%

✅ import_one_unknown_cache

Time: ✅ 6.265µs (SLO: <10.000µs 📉 -37.3%) vs baseline: -0.8%

Memory: ✅ 39.386MB (SLO: <41.000MB -3.9%) vs baseline: +5.1%

✅ All Tests Passing (6 suites)
✅ iast_aspects - 40/40

✅ re_expand_aspect

Time: ✅ 33.716µs (SLO: <40.000µs 📉 -15.7%) vs baseline: +5.1%

Memory: ✅ 38.633MB (SLO: <41.000MB -5.8%) vs baseline: +5.2%

✅ re_expand_noaspect

Time: ✅ 28.392µs (SLO: <40.000µs 📉 -29.0%) vs baseline: -0.6%

Memory: ✅ 38.555MB (SLO: <41.000MB -6.0%) vs baseline: +4.8%

✅ re_findall_aspect

Time: ✅ 2.919µs (SLO: <10.000µs 📉 -70.8%) vs baseline: +1.0%

Memory: ✅ 38.516MB (SLO: <41.000MB -6.1%) vs baseline: +4.9%

✅ re_findall_noaspect

Time: ✅ 1.422µs (SLO: <10.000µs 📉 -85.8%) vs baseline: +0.3%

Memory: ✅ 38.594MB (SLO: <41.000MB -5.9%) vs baseline: +4.6%

✅ re_finditer_aspect

Time: ✅ 4.461µs (SLO: <10.000µs 📉 -55.4%) vs baseline: +1.4%

Memory: ✅ 38.574MB (SLO: <41.000MB -5.9%) vs baseline: +4.8%

✅ re_finditer_noaspect

Time: ✅ 1.397µs (SLO: <10.000µs 📉 -86.0%) vs baseline: -0.7%

Memory: ✅ 38.535MB (SLO: <41.000MB -6.0%) vs baseline: +5.0%

✅ re_fullmatch_aspect

Time: ✅ 2.641µs (SLO: <10.000µs 📉 -73.6%) vs baseline: -1.8%

Memory: ✅ 38.653MB (SLO: <41.000MB -5.7%) vs baseline: +5.1%

✅ re_fullmatch_noaspect

Time: ✅ 1.312µs (SLO: <10.000µs 📉 -86.9%) vs baseline: -1.3%

Memory: ✅ 38.673MB (SLO: <41.000MB -5.7%) vs baseline: +5.0%

✅ re_group_aspect

Time: ✅ 2.952µs (SLO: <10.000µs 📉 -70.5%) vs baseline: -0.8%

Memory: ✅ 38.594MB (SLO: <41.000MB -5.9%) vs baseline: +5.0%

✅ re_group_noaspect

Time: ✅ 1.648µs (SLO: <10.000µs 📉 -83.5%) vs baseline: ~same

Memory: ✅ 38.574MB (SLO: <41.000MB -5.9%) vs baseline: +5.3%

✅ re_groups_aspect

Time: ✅ 3.082µs (SLO: <10.000µs 📉 -69.2%) vs baseline: +0.8%

Memory: ✅ 38.574MB (SLO: <41.000MB -5.9%) vs baseline: +4.7%

✅ re_groups_noaspect

Time: ✅ 1.699µs (SLO: <10.000µs 📉 -83.0%) vs baseline: ~same

Memory: ✅ 38.535MB (SLO: <41.000MB -6.0%) vs baseline: +5.0%

✅ re_match_aspect

Time: ✅ 2.691µs (SLO: <10.000µs 📉 -73.1%) vs baseline: -0.7%

Memory: ✅ 38.614MB (SLO: <41.000MB -5.8%) vs baseline: +4.9%

✅ re_match_noaspect

Time: ✅ 1.322µs (SLO: <10.000µs 📉 -86.8%) vs baseline: +1.9%

Memory: ✅ 38.653MB (SLO: <41.000MB -5.7%) vs baseline: +5.3%

✅ re_search_aspect

Time: ✅ 2.537µs (SLO: <10.000µs 📉 -74.6%) vs baseline: ~same

Memory: ✅ 38.574MB (SLO: <41.000MB -5.9%) vs baseline: +4.9%

✅ re_search_noaspect

Time: ✅ 1.192µs (SLO: <10.000µs 📉 -88.1%) vs baseline: -0.3%

Memory: ✅ 38.732MB (SLO: <41.000MB -5.5%) vs baseline: +5.2%

✅ re_sub_aspect

Time: ✅ 3.578µs (SLO: <10.000µs 📉 -64.2%) vs baseline: +6.4%

Memory: ✅ 38.633MB (SLO: <41.000MB -5.8%) vs baseline: +5.0%

✅ re_sub_noaspect

Time: ✅ 1.524µs (SLO: <10.000µs 📉 -84.8%) vs baseline: -0.5%

Memory: ✅ 38.574MB (SLO: <41.000MB -5.9%) vs baseline: +4.9%

✅ re_subn_aspect

Time: ✅ 3.616µs (SLO: <10.000µs 📉 -63.8%) vs baseline: +0.6%

Memory: ✅ 38.673MB (SLO: <41.000MB -5.7%) vs baseline: +5.4%

✅ re_subn_noaspect

Time: ✅ 1.606µs (SLO: <10.000µs 📉 -83.9%) vs baseline: -1.0%

Memory: ✅ 38.673MB (SLO: <41.000MB -5.7%) vs baseline: +5.1%

✅ iastaspects - 118/118

✅ add_aspect

Time: ✅ 0.385µs (SLO: <10.000µs 📉 -96.1%) vs baseline: ~same

Memory: ✅ 38.596MB (SLO: <41.500MB -7.0%) vs baseline: +4.5%

✅ add_inplace_aspect

Time: ✅ 0.382µs (SLO: <10.000µs 📉 -96.2%) vs baseline: -0.7%

Memory: ✅ 38.489MB (SLO: <41.500MB -7.3%) vs baseline: +4.8%

✅ add_inplace_noaspect

Time: ✅ 0.285µs (SLO: <10.000µs 📉 -97.1%) vs baseline: +0.4%

Memory: ✅ 38.550MB (SLO: <41.500MB -7.1%) vs baseline: +4.8%

✅ add_noaspect

Time: ✅ 0.358µs (SLO: <10.000µs 📉 -96.4%) vs baseline: -0.2%

Memory: ✅ 38.528MB (SLO: <41.500MB -7.2%) vs baseline: +4.6%

✅ bytearray_aspect

Time: ✅ 1.314µs (SLO: <10.000µs 📉 -86.9%) vs baseline: ~same

Memory: ✅ 38.495MB (SLO: <41.500MB -7.2%) vs baseline: +4.1%

✅ bytearray_extend_aspect

Time: ✅ 1.508µs (SLO: <10.000µs 📉 -84.9%) vs baseline: +0.4%

Memory: ✅ 38.602MB (SLO: <41.500MB -7.0%) vs baseline: +4.9%

✅ bytearray_extend_noaspect

Time: ✅ 0.621µs (SLO: <10.000µs 📉 -93.8%) vs baseline: +0.2%

Memory: ✅ 38.708MB (SLO: <41.500MB -6.7%) vs baseline: +4.9%

✅ bytearray_noaspect

Time: ✅ 0.486µs (SLO: <10.000µs 📉 -95.1%) vs baseline: +0.3%

Memory: ✅ 38.641MB (SLO: <41.500MB -6.9%) vs baseline: +5.0%

✅ bytes_aspect

Time: ✅ 1.277µs (SLO: <10.000µs 📉 -87.2%) vs baseline: +1.3%

Memory: ✅ 38.584MB (SLO: <41.500MB -7.0%) vs baseline: +5.0%

✅ bytes_noaspect

Time: ✅ 0.492µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -0.7%

Memory: ✅ 38.585MB (SLO: <41.500MB -7.0%) vs baseline: +5.2%

✅ bytesio_aspect

Time: ✅ 1.310µs (SLO: <10.000µs 📉 -86.9%) vs baseline: +0.9%

Memory: ✅ 38.613MB (SLO: <41.500MB -7.0%) vs baseline: +4.6%

✅ bytesio_noaspect

Time: ✅ 0.504µs (SLO: <10.000µs 📉 -95.0%) vs baseline: +1.6%

Memory: ✅ 38.697MB (SLO: <41.500MB -6.8%) vs baseline: +5.2%

✅ capitalize_aspect

Time: ✅ 0.739µs (SLO: <10.000µs 📉 -92.6%) vs baseline: -0.3%

Memory: ✅ 38.566MB (SLO: <41.500MB -7.1%) vs baseline: +4.9%

✅ capitalize_noaspect

Time: ✅ 0.441µs (SLO: <10.000µs 📉 -95.6%) vs baseline: +0.7%

Memory: ✅ 38.746MB (SLO: <41.500MB -6.6%) vs baseline: +5.6%

✅ casefold_aspect

Time: ✅ 0.745µs (SLO: <10.000µs 📉 -92.5%) vs baseline: +0.6%

Memory: ✅ 38.701MB (SLO: <41.500MB -6.7%) vs baseline: +5.6%

✅ casefold_noaspect

Time: ✅ 0.375µs (SLO: <10.000µs 📉 -96.2%) vs baseline: +1.0%

Memory: ✅ 38.712MB (SLO: <41.500MB -6.7%) vs baseline: +5.2%

✅ decode_aspect

Time: ✅ 0.732µs (SLO: <10.000µs 📉 -92.7%) vs baseline: +0.8%

Memory: ✅ 38.615MB (SLO: <41.500MB -7.0%) vs baseline: +5.1%

✅ decode_noaspect

Time: ✅ 0.422µs (SLO: <10.000µs 📉 -95.8%) vs baseline: +0.5%

Memory: ✅ 38.480MB (SLO: <41.500MB -7.3%) vs baseline: +4.8%

✅ encode_aspect

Time: ✅ 0.709µs (SLO: <10.000µs 📉 -92.9%) vs baseline: ~same

Memory: ✅ 38.315MB (SLO: <41.500MB -7.7%) vs baseline: +4.2%

✅ encode_noaspect

Time: ✅ 0.402µs (SLO: <10.000µs 📉 -96.0%) vs baseline: -1.1%

Memory: ✅ 38.606MB (SLO: <41.500MB -7.0%) vs baseline: +5.2%

✅ format_aspect

Time: ✅ 3.456µs (SLO: <10.000µs 📉 -65.4%) vs baseline: +0.9%

Memory: ✅ 38.777MB (SLO: <41.500MB -6.6%) vs baseline: +5.9%

✅ format_map_aspect

Time: ✅ 3.753µs (SLO: <10.000µs 📉 -62.5%) vs baseline: +5.1%

Memory: ✅ 38.567MB (SLO: <41.500MB -7.1%) vs baseline: +5.0%

✅ format_map_noaspect

Time: ✅ 0.826µs (SLO: <10.000µs 📉 -91.7%) vs baseline: +0.7%

Memory: ✅ 38.603MB (SLO: <41.500MB -7.0%) vs baseline: +4.8%

✅ format_noaspect

Time: ✅ 0.597µs (SLO: <10.000µs 📉 -94.0%) vs baseline: +0.6%

Memory: ✅ 38.484MB (SLO: <41.500MB -7.3%) vs baseline: +4.5%

✅ index_aspect

Time: ✅ 0.344µs (SLO: <10.000µs 📉 -96.6%) vs baseline: +1.4%

Memory: ✅ 38.526MB (SLO: <41.500MB -7.2%) vs baseline: +4.7%

✅ index_noaspect

Time: ✅ 0.317µs (SLO: <10.000µs 📉 -96.8%) vs baseline: -1.0%

Memory: ✅ 38.491MB (SLO: <41.500MB -7.3%) vs baseline: +4.9%

✅ join_aspect

Time: ✅ 1.304µs (SLO: <10.000µs 📉 -87.0%) vs baseline: +0.4%

Memory: ✅ 38.413MB (SLO: <41.500MB -7.4%) vs baseline: +4.1%

✅ join_noaspect

Time: ✅ 0.532µs (SLO: <10.000µs 📉 -94.7%) vs baseline: -0.9%

Memory: ✅ 38.505MB (SLO: <41.500MB -7.2%) vs baseline: +4.5%

✅ ljust_aspect

Time: ✅ 2.739µs (SLO: <20.000µs 📉 -86.3%) vs baseline: +9.0%

Memory: ✅ 38.474MB (SLO: <41.500MB -7.3%) vs baseline: +4.5%

✅ ljust_noaspect

Time: ✅ 0.411µs (SLO: <10.000µs 📉 -95.9%) vs baseline: +2.2%

Memory: ✅ 38.604MB (SLO: <41.500MB -7.0%) vs baseline: +4.9%

✅ lower_aspect

Time: ✅ 2.228µs (SLO: <10.000µs 📉 -77.7%) vs baseline: -0.2%

Memory: ✅ 38.568MB (SLO: <41.500MB -7.1%) vs baseline: +4.7%

✅ lower_noaspect

Time: ✅ 0.378µs (SLO: <10.000µs 📉 -96.2%) vs baseline: +2.2%

Memory: ✅ 38.448MB (SLO: <41.500MB -7.4%) vs baseline: +4.2%

✅ lstrip_aspect

Time: ✅ 2.197µs (SLO: <20.000µs 📉 -89.0%) vs baseline: +0.9%

Memory: ✅ 38.472MB (SLO: <41.500MB -7.3%) vs baseline: +4.4%

✅ lstrip_noaspect

Time: ✅ 0.386µs (SLO: <10.000µs 📉 -96.1%) vs baseline: +1.2%

Memory: ✅ 38.428MB (SLO: <41.500MB -7.4%) vs baseline: +4.6%

✅ modulo_aspect

Time: ✅ 0.971µs (SLO: <10.000µs 📉 -90.3%) vs baseline: +0.6%

Memory: ✅ 38.604MB (SLO: <41.500MB -7.0%) vs baseline: +5.0%

✅ modulo_aspect_for_bytearray_bytearray

Time: ✅ 1.504µs (SLO: <10.000µs 📉 -85.0%) vs baseline: +1.5%

Memory: ✅ 38.636MB (SLO: <41.500MB -6.9%) vs baseline: +4.9%

✅ modulo_aspect_for_bytes

Time: ✅ 0.957µs (SLO: <10.000µs 📉 -90.4%) vs baseline: -0.1%

Memory: ✅ 38.572MB (SLO: <41.500MB -7.1%) vs baseline: +5.1%

✅ modulo_aspect_for_bytes_bytearray

Time: ✅ 1.186µs (SLO: <10.000µs 📉 -88.1%) vs baseline: +1.8%

Memory: ✅ 38.503MB (SLO: <41.500MB -7.2%) vs baseline: +4.9%

✅ modulo_noaspect

Time: ✅ 0.665µs (SLO: <10.000µs 📉 -93.4%) vs baseline: -0.7%

Memory: ✅ 38.594MB (SLO: <41.500MB -7.0%) vs baseline: +5.0%

✅ replace_aspect

Time: ✅ 5.067µs (SLO: <10.000µs 📉 -49.3%) vs baseline: +4.0%

Memory: ✅ 38.606MB (SLO: <41.500MB -7.0%) vs baseline: +5.0%

✅ replace_noaspect

Time: ✅ 0.462µs (SLO: <10.000µs 📉 -95.4%) vs baseline: -0.2%

Memory: ✅ 38.607MB (SLO: <41.500MB -7.0%) vs baseline: +5.1%

✅ repr_aspect

Time: ✅ 0.954µs (SLO: <10.000µs 📉 -90.5%) vs baseline: +0.5%

Memory: ✅ 38.638MB (SLO: <41.500MB -6.9%) vs baseline: +5.2%

✅ repr_noaspect

Time: ✅ 0.462µs (SLO: <10.000µs 📉 -95.4%) vs baseline: +2.2%

Memory: ✅ 38.580MB (SLO: <41.500MB -7.0%) vs baseline: +5.1%

✅ rstrip_aspect

Time: ✅ 1.850µs (SLO: <20.000µs 📉 -90.7%) vs baseline: +1.2%

Memory: ✅ 38.623MB (SLO: <41.500MB -6.9%) vs baseline: +4.6%

✅ rstrip_noaspect

Time: ✅ 0.383µs (SLO: <10.000µs 📉 -96.2%) vs baseline: -0.5%

Memory: ✅ 38.476MB (SLO: <41.500MB -7.3%) vs baseline: +4.5%

✅ slice_aspect

Time: ✅ 0.488µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -0.3%

Memory: ✅ 38.579MB (SLO: <41.500MB -7.0%) vs baseline: +4.4%

✅ slice_noaspect

Time: ✅ 0.450µs (SLO: <10.000µs 📉 -95.5%) vs baseline: -0.5%

Memory: ✅ 38.394MB (SLO: <41.500MB -7.5%) vs baseline: +4.7%

✅ stringio_aspect

Time: ✅ 1.673µs (SLO: <10.000µs 📉 -83.3%) vs baseline: -0.3%

Memory: ✅ 38.582MB (SLO: <41.500MB -7.0%) vs baseline: +5.0%

✅ stringio_noaspect

Time: ✅ 0.920µs (SLO: <10.000µs 📉 -90.8%) vs baseline: +0.4%

Memory: ✅ 38.693MB (SLO: <41.500MB -6.8%) vs baseline: +5.3%

✅ strip_aspect

Time: ✅ 2.174µs (SLO: <20.000µs 📉 -89.1%) vs baseline: -0.9%

Memory: ✅ 38.502MB (SLO: <41.500MB -7.2%) vs baseline: +4.4%

✅ strip_noaspect

Time: ✅ 0.391µs (SLO: <10.000µs 📉 -96.1%) vs baseline: +0.7%

Memory: ✅ 38.473MB (SLO: <41.500MB -7.3%) vs baseline: +4.7%

✅ swapcase_aspect

Time: ✅ 2.420µs (SLO: <10.000µs 📉 -75.8%) vs baseline: +0.1%

Memory: ✅ 38.438MB (SLO: <41.500MB -7.4%) vs baseline: +4.7%

✅ swapcase_noaspect

Time: ✅ 0.543µs (SLO: <10.000µs 📉 -94.6%) vs baseline: -0.3%

Memory: ✅ 38.401MB (SLO: <41.500MB -7.5%) vs baseline: +4.6%

✅ title_aspect

Time: ✅ 2.355µs (SLO: <10.000µs 📉 -76.4%) vs baseline: +0.8%

Memory: ✅ 38.567MB (SLO: <41.500MB -7.1%) vs baseline: +4.4%

✅ title_noaspect

Time: ✅ 0.503µs (SLO: <10.000µs 📉 -95.0%) vs baseline: -0.6%

Memory: ✅ 38.565MB (SLO: <41.500MB -7.1%) vs baseline: +4.6%

✅ translate_aspect

Time: ✅ 3.266µs (SLO: <10.000µs 📉 -67.3%) vs baseline: +1.7%

Memory: ✅ 38.506MB (SLO: <41.500MB -7.2%) vs baseline: +5.2%

✅ translate_noaspect

Time: ✅ 1.043µs (SLO: <10.000µs 📉 -89.6%) vs baseline: ~same

Memory: ✅ 38.706MB (SLO: <41.500MB -6.7%) vs baseline: +5.2%

✅ upper_aspect

Time: ✅ 2.239µs (SLO: <10.000µs 📉 -77.6%) vs baseline: -0.3%

Memory: ✅ 38.635MB (SLO: <41.500MB -6.9%) vs baseline: +4.9%

✅ upper_noaspect

Time: ✅ 0.374µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -1.5%

Memory: ✅ 38.492MB (SLO: <41.500MB -7.2%) vs baseline: +5.2%

✅ iastaspectssplit - 12/12

✅ rsplit_aspect

Time: ✅ 1.379µs (SLO: <10.000µs 📉 -86.2%) vs baseline: -1.7%

Memory: ✅ 38.614MB (SLO: <41.000MB -5.8%) vs baseline: +5.7%

✅ rsplit_noaspect

Time: ✅ 0.577µs (SLO: <10.000µs 📉 -94.2%) vs baseline: ~same

Memory: ✅ 38.496MB (SLO: <41.000MB -6.1%) vs baseline: +4.7%

✅ split_aspect

Time: ✅ 1.363µs (SLO: <10.000µs 📉 -86.4%) vs baseline: -1.9%

Memory: ✅ 38.555MB (SLO: <41.000MB -6.0%) vs baseline: +4.9%

✅ split_noaspect

Time: ✅ 0.568µs (SLO: <10.000µs 📉 -94.3%) vs baseline: ~same

Memory: ✅ 38.516MB (SLO: <41.000MB -6.1%) vs baseline: +4.7%

✅ splitlines_aspect

Time: ✅ 1.339µs (SLO: <10.000µs 📉 -86.6%) vs baseline: -2.8%

Memory: ✅ 38.673MB (SLO: <41.000MB -5.7%) vs baseline: +5.2%

✅ splitlines_noaspect

Time: ✅ 0.582µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -0.3%

Memory: ✅ 38.614MB (SLO: <41.000MB -5.8%) vs baseline: +5.1%

✅ iastpropagation - 8/8

✅ no-propagation

Time: ✅ 48.796µs (SLO: <60.000µs 📉 -18.7%) vs baseline: +0.4%

Memory: ✅ 38.201MB (SLO: <42.000MB -9.0%) vs baseline: +5.0%

✅ propagation_enabled

Time: ✅ 137.071µs (SLO: <190.000µs 📉 -27.9%) vs baseline: +0.4%

Memory: ✅ 38.280MB (SLO: <42.000MB -8.9%) vs baseline: +5.0%

✅ propagation_enabled_100

Time: ✅ 1.573ms (SLO: <2.300ms 📉 -31.6%) vs baseline: +0.4%

Memory: ✅ 38.122MB (SLO: <42.000MB -9.2%) vs baseline: +4.9%

✅ propagation_enabled_1000

Time: ✅ 29.172ms (SLO: <34.550ms 📉 -15.6%) vs baseline: ~same

Memory: ✅ 38.496MB (SLO: <42.000MB -8.3%) vs baseline: +4.6%

✅ otelsdkspan - 24/24

✅ add-event

Time: ✅ 40.304ms (SLO: <42.000ms -4.0%) vs baseline: -0.1%

Memory: ✅ 37.611MB (SLO: <39.000MB -3.6%) vs baseline: +5.0%

✅ add-link

Time: ✅ 36.091ms (SLO: <38.550ms -6.4%) vs baseline: +0.2%

Memory: ✅ 37.631MB (SLO: <39.000MB -3.5%) vs baseline: +4.7%

✅ add-metrics

Time: ✅ 218.100ms (SLO: <232.000ms -6.0%) vs baseline: -0.2%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +5.1%

✅ add-tags

Time: ✅ 212.470ms (SLO: <221.600ms -4.1%) vs baseline: +0.6%

Memory: ✅ 37.611MB (SLO: <39.000MB -3.6%) vs baseline: +4.5%

✅ get-context

Time: ✅ 29.119ms (SLO: <31.300ms -7.0%) vs baseline: +0.3%

Memory: ✅ 37.631MB (SLO: <39.000MB -3.5%) vs baseline: +4.9%

✅ is-recording

Time: ✅ 28.927ms (SLO: <31.000ms -6.7%) vs baseline: -0.4%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +5.1%

✅ record-exception

Time: ✅ 62.954ms (SLO: <65.850ms -4.4%) vs baseline: -0.3%

Memory: ✅ 37.611MB (SLO: <39.000MB -3.6%) vs baseline: +5.0%

✅ set-status

Time: ✅ 31.962ms (SLO: <34.150ms -6.4%) vs baseline: ~same

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ start

Time: ✅ 29.179ms (SLO: <30.150ms -3.2%) vs baseline: +1.3%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.2%

✅ start-finish

Time: ✅ 33.752ms (SLO: <35.350ms -4.5%) vs baseline: -1.0%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +5.2%

✅ start-finish-telemetry

Time: ✅ 33.853ms (SLO: <35.450ms -4.5%) vs baseline: -0.5%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.4%

✅ update-name

Time: ✅ 31.082ms (SLO: <33.400ms -6.9%) vs baseline: +0.4%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ packagespackageforrootmodulemapping - 4/4

✅ cache_off

Time: ✅ 338.147ms (SLO: <354.300ms -4.6%) vs baseline: -1.0%

Memory: ✅ 40.148MB (SLO: <41.500MB -3.3%) vs baseline: +4.2%

✅ cache_on

Time: ✅ 0.383µs (SLO: <10.000µs 📉 -96.2%) vs baseline: +0.1%

Memory: ✅ 38.783MB (SLO: <41.000MB -5.4%) vs baseline: +4.1%

ℹ️ Scenarios Missing SLO Configuration (10 scenarios)

The following scenarios exist in candidate data but have no SLO thresholds configured:

  • coreapiscenario-core_dispatch_listeners
  • coreapiscenario-core_dispatch_no_listeners
  • coreapiscenario-core_dispatch_with_results_listeners
  • coreapiscenario-core_dispatch_with_results_no_listeners
  • djangosimple-baseline
  • errortrackingdjangosimple-baseline
  • errortrackingflasksqli-baseline
  • flasksimple-baseline
  • flasksqli-baseline
  • sethttpmeta-obfuscation-disabled

@taegyunkim taegyunkim added the Profiling Continous Profling label Dec 8, 2025
KowalskiThomas
KowalskiThomas reviewed Dec 8, 2025
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@taegyunkim taegyunkim added the AI Generated Largely based on code generated by an AI or LLM. This label is the same across all dd-trace-* repos label Dec 8, 2025
@taegyunkim taegyunkim mentioned this pull request Dec 9, 2025
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clin1234 added a commit to clin1234/echion that referenced this pull request Dec 9, 2025
@clin1234
Add changes from DataDog/dd-trace-py#15546
7d3cf0a
KowalskiThomas
KowalskiThomas reviewed Dec 10, 2025
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ddtrace/internal/datadog/profiling/stack_v2/echion/echion/tasks.h
Comment on lines +20 to +23
#include <internal/pycore_frame.h> // for FRAME_CLEARED, FRAME_EXECUTING
#include <internal/pycore_interp_structs.h> // For PyInterpreterState
#include <internal/pycore_llist.h> // For llist_node structure
#include <internal/pycore_tstate.h> // For _PyThreadStateImpl
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@KowalskiThomas KowalskiThomas Dec 10, 2025

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Do we really want those // for ... comments? In my experience they tend to get outdated pretty quickly and they don't really add much as a lot of tools can report unused headers (which means the "why are we including this?" question isn't that relevant)

ddtrace/internal/datadog/profiling/stack_v2/echion/echion/tasks.h
#if PY_VERSION_HEX >= 0x030e0000
// Python 3.14+: Get tasks from a single thread's linked-list
inline void
get_tasks_from_linked_list(uintptr_t head_addr, PyObject* loop, std::vector<TaskInfo::Ptr>& tasks)
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Is there a strong reason for using an output parameter over returning?

ddtrace/internal/datadog/profiling/stack_v2/echion/echion/tasks.h
// Copy head node struct from remote memory to local memory
struct llist_node head_node_local;
if (copy_type(reinterpret_cast<void*>(head_addr), head_node_local)) {
return;
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@KowalskiThomas KowalskiThomas Dec 10, 2025

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Shouldn't we return an error in this case?

ddtrace/internal/datadog/profiling/stack_v2/echion/echion/tasks.h
uintptr_t current_node_addr = head_addr; // Address of current node

// Copied from CPython's _remote_debugging_module.c: MAX_ITERATIONS
const size_t MAX_ITERATIONS = 2 << 15;
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question Do you know why we're doing 2 << 15 and not 1 << 16? I've never seen that pattern anywhere else?

ddtrace/internal/datadog/profiling/stack_v2/echion/echion/tasks.h
Comment on lines +340 to +342
if ((*maybe_task_info)->loop == loop) {
tasks.push_back(std::move(*maybe_task_info));
}
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For readability, I think adding an auto& task_info = *maybe_task_info could help.

ddtrace/internal/datadog/profiling/stack_v2/echion/echion/threads.h
// ----------------------------------------------------------------------------
inline Result<void>
ThreadInfo::sample(int64_t iid, PyThreadState* tstate, microsecond_t delta)
ThreadInfo::sample(int64_t iid, ThreadStateType* tstate_ptr, microsecond_t delta)
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@KowalskiThomas KowalskiThomas Dec 10, 2025

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Is the renaming to tstate_ptr on purpose? I don't think we have _ptr suffixes in other places

ddtrace/internal/datadog/profiling/stack_v2/echion/echion/threads.h
Comment on lines +489 to +493
#if PY_VERSION_HEX >= 0x030e0000
using ThreadStateCallback = std::function<void(_PyThreadStateImpl*, microsecond_t, ThreadInfo&)>;
#else
using ThreadStateCallback = std::function<void(PyThreadState*, microsecond_t, ThreadInfo&)>;
#endif
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👍

tests/profiling/collector/test_asyncio_as_completed.py
Comment on lines +36 to +39
# For Python 3.14+, we increase the sleep time to get all the samples
# as expected. It's likely because the CPython 3.14+ keeps track of
# the tasks in a linked list, and each node needs to be copied using
# a system call.
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@KowalskiThomas KowalskiThomas Dec 10, 2025

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Have you by any chance run any performance checks for Python 3.14 on Tasks? I definitely believe this could be the explanation, but it's somewhat scary...

tests/profiling/collector/test_generators.py
Comment on lines +53 to +60
# In Python 3.14+, generator frames intentionally break the frame chain by setting
# previous = NULL to prevent dangling pointers. This means we cannot unwind from
# generator frames back to their callers. See docs/python-3.14-generator-frame-limitation.md
# for details.
#
# Expected behavior:
# - Python < 3.14: my_function -> generator -> generator2 (full stack trace)
# - Python >= 3.14: generator -> generator2 (cannot unwind to my_function)
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This is pretty bad, it sounds like a significant quality setback, right? Do we have any workarounds for it? (I guess not?)

Also, if I'm not mistaken, this means in practice we'll have the Generator Frames (and Frames for what it calls) as a separate sub-Flame Graph in the Flame Graph – wouldn't it make sense to completely ignore them instead?

I'm not sure what sounds worse... 😬

@taegyunkim taegyunkim marked this pull request as ready for review December 10, 2025 14:57
@taegyunkim taegyunkim requested review from a team as code owners December 10, 2025 14:57
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@juanjux juanjux Awaiting requested review from juanjux juanjux is a code owner automatically assigned from DataDog/apm-core-python

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