feat(profiling): add memory allocator testing variants #14659

vlad-scherbich · 2025-09-19T22:46:25Z

PROF-12490: Running memory allocator tests with different allocators

Description

Some clients might be using non-default allocator types in their Python code. The goal of this PR is to ensure that existing memory-related tests are working for (a) all standard allocator types and (b) jemalloc, a powerful implementation optimized to avoid memory fragmentation, and providing scalable concurrency, particularly in multithreaded applications.

Allocators tested

profile-v2-pymalloc (default)
profile-v2-malloc
profile-v2-malloc-debug
profile-v2-pymalloc-debug

note: there are perm issues for Docker containers setup affecting testing of jemalloc. Adding a defensive try/catch strategy to determine if it's installed. I will try to figure out Docker perm issues to install the lib in a follow up PR.

Testing

Ran all test_memory_collector* tests

$ ./scripts/ddtest riot -v run -s -p 3.10 profile-v2 -- -s -vv -k "test_memory_collector" tests/profiling_v2/collector/test_memalloc.py
...
9 passed with 0 warnings, 0 failed

Spot-checked that new allocator types are being used:

-------------------summary-------------------
✓ profile-v2: [111cc29] _DD_CIVISIBILITY_USE_CI_CONTEXT_PROVIDER=1 DD_TESTING_RAISE=1 DD_REMOTE_CONFIGURATION_ENABLED=false DD_INJECTION_ENABLED=1 DD_INJECT_FORCE=1 DD_PATCH_MODULES=unittest:false CMAKE_BUILD_PARALLEL_LEVEL=12 CARGO_BUILD_JOBS=12 DD_PROFILING_ENABLE_ASSERTS=1 CPUCOUNT=12 PYTHONMALLOC=pymalloc pythonInterpreter(_hint='3.10') 'mock' 'pytest' 'pytest-mock' 'coverage' 'pytest-cov' 'opentracing' 'hypothesis<6.45.1' 'gunicorn' 'jsonschema' 'lz4' 'pytest-cpp' 'pytest-benchmark' 'py-cpuinfo~=8.0.0' 'pytest-asyncio==0.21.1' 'pytest-randomly' 'uwsgi<2.0.30'
✓ profile-v2-pymalloc: [5178213] _DD_CIVISIBILITY_USE_CI_CONTEXT_PROVIDER=1 DD_TESTING_RAISE=1 DD_REMOTE_CONFIGURATION_ENABLED=false DD_INJECTION_ENABLED=1 DD_INJECT_FORCE=1 DD_PATCH_MODULES=unittest:false CMAKE_BUILD_PARALLEL_LEVEL=12 CARGO_BUILD_JOBS=12 DD_PROFILING_ENABLE_ASSERTS=1 CPUCOUNT=12 PYTHONMALLOC=pymalloc pythonInterpreter(_hint='3.10') 'mock' 'pytest' 'pytest-mock' 'coverage' 'pytest-cov' 'opentracing' 'hypothesis<6.45.1' 'gunicorn' 'jsonschema' 'lz4' 'pytest-cpp' 'pytest-benchmark' 'py-cpuinfo~=8.0.0' 'pytest-asyncio==0.21.1' 'pytest-randomly'

Hard-coded invalid allocator names, such as "foo", and observed test failures due to "invalid allocator type"

Risks

None

Additional Notes

Changes

Add template function to create venvs for different Python memory allocators
Support pymalloc, malloc, malloc_debug, pymalloc_debug variants
Add conditional jemalloc support with cross-platform library detection
Create shared _profile_v2_pkgs configuration to avoid duplication
Include all required venv parameters (name, command, pys, env, pkgs)"

github-actions · 2025-09-19T22:47:04Z

CODEOWNERS have been resolved as:

.riot/requirements/17a060e.txt                                          @DataDog/apm-python
.riot/requirements/18fddc3.txt                                          @DataDog/apm-python
.riot/requirements/1a1c5ae.txt                                          @DataDog/apm-python
.riot/requirements/748e276.txt                                          @DataDog/apm-python
.riot/requirements/dcbb0e8.txt                                          @DataDog/apm-python
.riot/requirements/dd5c1a4.txt                                          @DataDog/apm-python
.riot/requirements/1227878.txt                                          @DataDog/apm-python
.riot/requirements/18d669b.txt                                          @DataDog/apm-python
.riot/requirements/1995aee.txt                                          @DataDog/apm-python
.riot/requirements/19d80a8.txt                                          @DataDog/apm-python
.riot/requirements/1cddcb1.txt                                          @DataDog/apm-python
.riot/requirements/1e5039b.txt                                          @DataDog/apm-python
.riot/requirements/3f0f7d8.txt                                          @DataDog/apm-python
.riot/requirements/c2ff780.txt                                          @DataDog/apm-python
.riot/requirements/dc2fb54.txt                                          @DataDog/apm-python
.riot/requirements/e0744c3.txt                                          @DataDog/apm-python
riotfile.py                                                             @DataDog/apm-python
tests/profiling/suitespec.yml                                           @DataDog/profiling-python

github-actions · 2025-09-19T23:13:53Z

Bootstrap import analysis

Comparison of import times between this PR and base.

Summary

The average import time from this PR is: 256 ± 6 ms.

The average import time from base is: 260 ± 6 ms.

The import time difference between this PR and base is: -4.0 ± 0.3 ms.

Import time breakdown

The following import paths have shrunk:

ddtrace.auto 2.182 ms (0.85%)

ddtrace.bootstrap.sitecustomize 1.485 ms (0.58%)

ddtrace.bootstrap.preload 1.485 ms (0.58%)

ddtrace.internal.remoteconfig.client 0.677 ms (0.26%)

ddtrace 0.698 ms (0.27%)

ddtrace.internal._unpatched 0.034 ms (0.01%)

json 0.034 ms (0.01%)

json.decoder 0.034 ms (0.01%)

re 0.034 ms (0.01%)

enum 0.034 ms (0.01%)

types 0.034 ms (0.01%)

pr-commenter · 2025-09-19T23:58:21Z

Performance SLOs

Comparing candidate feat/memory-allocator-testing (afd4f10) with baseline main (a32abd2)

📈 Performance Regressions (1 suite)

📈 telemetryaddmetric - 30/30

✅ 1-count-metric-1-times

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

Memory: ✅ 32.106MB (SLO: <34.000MB -5.6%) vs baseline: +4.8%

✅ 1-count-metrics-100-times

Time: ✅ 213.436µs (SLO: <250.000µs 📉 -14.6%) vs baseline: ~same

Memory: ✅ 32.126MB (SLO: <34.000MB -5.5%) vs baseline: +4.7%

✅ 1-distribution-metric-1-times

Time: ✅ 3.329µs (SLO: <20.000µs 📉 -83.4%) vs baseline: 📈 +12.4%

Memory: ✅ 32.126MB (SLO: <34.000MB -5.5%) vs baseline: +5.0%

✅ 1-distribution-metrics-100-times

Time: ✅ 191.354µs (SLO: <220.000µs 📉 -13.0%) vs baseline: -0.3%

Memory: ✅ 32.086MB (SLO: <34.000MB -5.6%) vs baseline: +4.7%

✅ 1-gauge-metric-1-times

Time: ✅ 2.120µs (SLO: <20.000µs 📉 -89.4%) vs baseline: -0.3%

Memory: ✅ 32.145MB (SLO: <34.000MB -5.5%) vs baseline: +4.8%

✅ 1-gauge-metrics-100-times

Time: ✅ 124.111µs (SLO: <150.000µs 📉 -17.3%) vs baseline: -2.7%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +5.0%

✅ 1-rate-metric-1-times

Time: ✅ 3.219µs (SLO: <20.000µs 📉 -83.9%) vs baseline: +1.0%

Memory: ✅ 32.027MB (SLO: <34.000MB -5.8%) vs baseline: +4.6%

✅ 1-rate-metrics-100-times

Time: ✅ 212.005µs (SLO: <250.000µs 📉 -15.2%) vs baseline: -0.8%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +5.0%

✅ 100-count-metrics-100-times

Time: ✅ 21.204ms (SLO: <23.500ms -9.8%) vs baseline: -1.5%

Memory: ✅ 32.126MB (SLO: <34.000MB -5.5%) vs baseline: +5.1%

✅ 100-distribution-metrics-100-times

Time: ✅ 1.984ms (SLO: <2.250ms 📉 -11.8%) vs baseline: +0.5%

Memory: ✅ 32.126MB (SLO: <34.000MB -5.5%) vs baseline: +4.8%

✅ 100-gauge-metrics-100-times

Time: ✅ 1.284ms (SLO: <1.550ms 📉 -17.1%) vs baseline: -0.9%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +5.1%

✅ 100-rate-metrics-100-times

Time: ✅ 2.180ms (SLO: <2.550ms 📉 -14.5%) vs baseline: -0.6%

Memory: ✅ 32.145MB (SLO: <34.000MB -5.5%) vs baseline: +5.0%

✅ flush-1-metric

Time: ✅ 4.183µs (SLO: <20.000µs 📉 -79.1%) vs baseline: +2.4%

Memory: ✅ 32.086MB (SLO: <34.000MB -5.6%) vs baseline: +4.9%

✅ flush-100-metrics

Time: ✅ 182.109µs (SLO: <250.000µs 📉 -27.2%) vs baseline: +0.7%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +5.3%

✅ flush-1000-metrics

Time: ✅ 2.209ms (SLO: <2.500ms 📉 -11.6%) vs baseline: +0.7%

Memory: ✅ 32.853MB (SLO: <34.500MB -4.8%) vs baseline: +4.6%

🟡 Near SLO Breach (4 suites)

🟡 djangosimple - 30/30

✅ appsec

Time: ✅ 20.482ms (SLO: <22.300ms -8.2%) vs baseline: -0.3%

Memory: ✅ 65.563MB (SLO: <67.000MB -2.1%) vs baseline: +5.0%

✅ exception-replay-enabled

Time: ✅ 1.347ms (SLO: <1.450ms -7.1%) vs baseline: ~same

Memory: ✅ 64.484MB (SLO: <67.000MB -3.8%) vs baseline: +4.8%

✅ iast

Time: ✅ 20.529ms (SLO: <22.250ms -7.7%) vs baseline: ~same

Memory: ✅ 65.519MB (SLO: <67.000MB -2.2%) vs baseline: +5.1%

✅ profiler

Time: ✅ 15.311ms (SLO: <16.550ms -7.5%) vs baseline: +0.2%

Memory: ✅ 53.704MB (SLO: <54.500MB 🟡 -1.5%) vs baseline: +4.8%

✅ resource-renaming

Time: ✅ 20.574ms (SLO: <21.750ms -5.4%) vs baseline: +0.2%

Memory: ✅ 65.596MB (SLO: <67.000MB -2.1%) vs baseline: +5.1%

✅ span-code-origin

Time: ✅ 26.138ms (SLO: <28.200ms -7.3%) vs baseline: -0.3%

Memory: ✅ 67.526MB (SLO: <69.500MB -2.8%) vs baseline: +5.1%

✅ tracer

Time: ✅ 20.457ms (SLO: <21.750ms -5.9%) vs baseline: -0.2%

Memory: ✅ 65.488MB (SLO: <67.000MB -2.3%) vs baseline: +4.7%

✅ tracer-and-profiler

Time: ✅ 22.042ms (SLO: <23.500ms -6.2%) vs baseline: -0.4%

Memory: ✅ 66.659MB (SLO: <67.500MB 🟡 -1.2%) vs baseline: +4.8%

✅ tracer-dont-create-db-spans

Time: ✅ 19.351ms (SLO: <21.500ms -10.0%) vs baseline: ~same

Memory: ✅ 65.529MB (SLO: <66.000MB 🟡 -0.7%) vs baseline: +4.9%

✅ tracer-minimal

Time: ✅ 16.664ms (SLO: <17.500ms -4.8%) vs baseline: +0.2%

Memory: ✅ 65.157MB (SLO: <66.000MB 🟡 -1.3%) vs baseline: +4.8%

✅ tracer-native

Time: ✅ 20.505ms (SLO: <21.750ms -5.7%) vs baseline: ~same

Memory: ✅ 71.443MB (SLO: <72.500MB 🟡 -1.5%) vs baseline: +4.9%

✅ tracer-no-caches

Time: ✅ 18.431ms (SLO: <19.650ms -6.2%) vs baseline: ~same

Memory: ✅ 65.242MB (SLO: <67.000MB -2.6%) vs baseline: +4.7%

✅ tracer-no-databases

Time: ✅ 18.872ms (SLO: <20.100ms -6.1%) vs baseline: +0.4%

Memory: ✅ 65.125MB (SLO: <67.000MB -2.8%) vs baseline: +4.8%

✅ tracer-no-middleware

Time: ✅ 20.178ms (SLO: <21.500ms -6.1%) vs baseline: ~same

Memory: ✅ 65.504MB (SLO: <67.000MB -2.2%) vs baseline: +4.8%

✅ tracer-no-templates

Time: ✅ 20.360ms (SLO: <22.000ms -7.5%) vs baseline: +0.2%

Memory: ✅ 65.525MB (SLO: <67.000MB -2.2%) vs baseline: +4.9%

🟡 errortrackingdjangosimple - 6/6

✅ errortracking-enabled-all

Time: ✅ 18.215ms (SLO: <19.850ms -8.2%) vs baseline: +1.0%

Memory: ✅ 65.352MB (SLO: <66.500MB 🟡 -1.7%) vs baseline: +4.9%

✅ errortracking-enabled-user

Time: ✅ 18.017ms (SLO: <19.400ms -7.1%) vs baseline: ~same

Memory: ✅ 65.294MB (SLO: <66.500MB 🟡 -1.8%) vs baseline: +4.8%

✅ tracer-enabled

Time: ✅ 18.121ms (SLO: <19.450ms -6.8%) vs baseline: +0.2%

Memory: ✅ 65.294MB (SLO: <66.500MB 🟡 -1.8%) vs baseline: +4.9%

🟡 flasksimple - 18/18

✅ appsec-get

Time: ✅ 4.576ms (SLO: <4.750ms -3.7%) vs baseline: +0.4%

Memory: ✅ 61.912MB (SLO: <65.000MB -4.8%) vs baseline: +4.8%

✅ appsec-post

Time: ✅ 6.574ms (SLO: <6.750ms -2.6%) vs baseline: +0.2%

Memory: ✅ 61.892MB (SLO: <65.000MB -4.8%) vs baseline: +4.9%

✅ appsec-telemetry

Time: ✅ 4.578ms (SLO: <4.750ms -3.6%) vs baseline: -0.6%

Memory: ✅ 61.951MB (SLO: <65.000MB -4.7%) vs baseline: +4.9%

✅ debugger

Time: ✅ 1.857ms (SLO: <2.000ms -7.1%) vs baseline: ~same

Memory: ✅ 45.338MB (SLO: <47.000MB -3.5%) vs baseline: +4.6%

✅ iast-get

Time: ✅ 1.864ms (SLO: <2.000ms -6.8%) vs baseline: ~same

Memory: ✅ 42.389MB (SLO: <49.000MB 📉 -13.5%) vs baseline: +5.0%

✅ profiler

Time: ✅ 1.914ms (SLO: <2.100ms -8.8%) vs baseline: +0.3%

Memory: ✅ 46.498MB (SLO: <47.000MB 🟡 -1.1%) vs baseline: +4.9%

✅ resource-renaming

Time: ✅ 3.385ms (SLO: <3.650ms -7.3%) vs baseline: ~same

Memory: ✅ 52.219MB (SLO: <53.500MB -2.4%) vs baseline: +4.9%

✅ tracer

Time: ✅ 3.374ms (SLO: <3.650ms -7.6%) vs baseline: ~same

Memory: ✅ 52.199MB (SLO: <53.500MB -2.4%) vs baseline: +4.7%

✅ tracer-native

Time: ✅ 3.372ms (SLO: <3.650ms -7.6%) vs baseline: +0.3%

Memory: ✅ 57.923MB (SLO: <60.000MB -3.5%) vs baseline: +4.6%

🟡 otelspan - 22/22

✅ add-event

Time: ✅ 45.295ms (SLO: <47.150ms -3.9%) vs baseline: ~same

Memory: ✅ 45.220MB (SLO: <47.000MB -3.8%) vs baseline: +4.8%

✅ add-metrics

Time: ✅ 322.141ms (SLO: <344.800ms -6.6%) vs baseline: +0.5%

Memory: ✅ 553.402MB (SLO: <562.000MB 🟡 -1.5%) vs baseline: +5.1%

✅ add-tags

Time: ✅ 290.783ms (SLO: <314.000ms -7.4%) vs baseline: ~same

Memory: ✅ 555.098MB (SLO: <563.500MB 🟡 -1.5%) vs baseline: +5.1%

✅ get-context

Time: ✅ 82.805ms (SLO: <92.350ms 📉 -10.3%) vs baseline: +0.4%

Memory: ✅ 40.266MB (SLO: <46.500MB 📉 -13.4%) vs baseline: +4.9%

✅ is-recording

Time: ✅ 43.998ms (SLO: <44.500ms 🟡 -1.1%) vs baseline: +2.5%

Memory: ✅ 44.597MB (SLO: <47.500MB -6.1%) vs baseline: +4.6%

✅ record-exception

Time: ✅ 61.872ms (SLO: <67.650ms -8.5%) vs baseline: ~same

Memory: ✅ 40.616MB (SLO: <47.000MB 📉 -13.6%) vs baseline: +5.0%

✅ set-status

Time: ✅ 48.917ms (SLO: <50.400ms -2.9%) vs baseline: +0.5%

Memory: ✅ 44.624MB (SLO: <47.000MB -5.1%) vs baseline: +5.0%

✅ start

Time: ✅ 42.190ms (SLO: <43.450ms -2.9%) vs baseline: +0.3%

Memory: ✅ 44.613MB (SLO: <47.000MB -5.1%) vs baseline: +4.8%

✅ start-finish

Time: ✅ 83.159ms (SLO: <88.000ms -5.5%) vs baseline: +0.6%

Memory: ✅ 34.583MB (SLO: <46.500MB 📉 -25.6%) vs baseline: +4.9%

✅ start-finish-telemetry

Time: ✅ 84.563ms (SLO: <89.000ms -5.0%) vs baseline: +0.2%

Memory: ✅ 34.583MB (SLO: <46.500MB 📉 -25.6%) vs baseline: +4.9%

✅ update-name

Time: ✅ 44.186ms (SLO: <45.150ms -2.1%) vs baseline: +0.2%

Memory: ✅ 44.907MB (SLO: <47.000MB -4.5%) vs baseline: +4.7%

⚠️ Unstable Tests (1 suite)

⚠️

coreapiscenario - 10/10 (1 unstable)

⚠️ context_with_data_listeners

Time: ⚠️ 13.262µs (SLO: <20.000µs 📉 -33.7%) vs baseline: ~same

Memory: ✅ 32.145MB (SLO: <33.500MB -4.0%) vs baseline: +5.1%

✅ context_with_data_no_listeners

Time: ✅ 3.271µs (SLO: <10.000µs 📉 -67.3%) vs baseline: ~same

Memory: ✅ 32.126MB (SLO: <33.500MB -4.1%) vs baseline: +4.7%

✅ get_item_exists

Time: ✅ 0.580µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -0.1%

Memory: ✅ 32.106MB (SLO: <33.500MB -4.2%) vs baseline: +4.8%

✅ get_item_missing

Time: ✅ 0.641µs (SLO: <10.000µs 📉 -93.6%) vs baseline: ~same

Memory: ✅ 32.067MB (SLO: <33.500MB -4.3%) vs baseline: +4.9%

✅ set_item

Time: ✅ 24.099µs (SLO: <30.000µs 📉 -19.7%) vs baseline: -0.4%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +5.2%

✅ All Tests Passing (18 suites)

✅ errortrackingflasksqli - 6/6

✅ errortracking-enabled-all

Time: ✅ 2.077ms (SLO: <2.300ms -9.7%) vs baseline: -0.1%

Memory: ✅ 52.101MB (SLO: <53.500MB -2.6%) vs baseline: +5.1%

✅ errortracking-enabled-user

Time: ✅ 2.082ms (SLO: <2.250ms -7.5%) vs baseline: +0.3%

Memory: ✅ 51.865MB (SLO: <53.500MB -3.1%) vs baseline: +4.4%

✅ tracer-enabled

Time: ✅ 2.081ms (SLO: <2.300ms -9.5%) vs baseline: -0.3%

Memory: ✅ 52.140MB (SLO: <53.500MB -2.5%) vs baseline: +4.9%

✅ flasksqli - 6/6

✅ appsec-enabled

Time: ✅ 3.928ms (SLO: <4.200ms -6.5%) vs baseline: ~same

Memory: ✅ 62.187MB (SLO: <66.000MB -5.8%) vs baseline: +4.7%

✅ iast-enabled

Time: ✅ 2.447ms (SLO: <2.800ms 📉 -12.6%) vs baseline: ~same

Memory: ✅ 58.648MB (SLO: <60.000MB -2.3%) vs baseline: +4.8%

✅ tracer-enabled

Time: ✅ 2.068ms (SLO: <2.250ms -8.1%) vs baseline: -0.7%

Memory: ✅ 52.219MB (SLO: <54.500MB -4.2%) vs baseline: +4.8%

✅ httppropagationextract - 60/60

✅ all_styles_all_headers

Time: ✅ 80.728µs (SLO: <100.000µs 📉 -19.3%) vs baseline: -0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ b3_headers

Time: ✅ 14.419µs (SLO: <20.000µs 📉 -27.9%) vs baseline: +0.9%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.9%

✅ b3_single_headers

Time: ✅ 14.336µs (SLO: <20.000µs 📉 -28.3%) vs baseline: +7.9%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ datadog_tracecontext_tracestate_not_propagated_on_trace_id_no_match

Time: ✅ 63.391µs (SLO: <80.000µs 📉 -20.8%) vs baseline: -0.2%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +5.1%

✅ datadog_tracecontext_tracestate_propagated_on_trace_id_match

Time: ✅ 66.031µs (SLO: <80.000µs 📉 -17.5%) vs baseline: +0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.7%

✅ empty_headers

Time: ✅ 1.593µs (SLO: <10.000µs 📉 -84.1%) vs baseline: -0.9%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ full_t_id_datadog_headers

Time: ✅ 22.597µs (SLO: <30.000µs 📉 -24.7%) vs baseline: ~same

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ invalid_priority_header

Time: ✅ 6.546µs (SLO: <10.000µs 📉 -34.5%) vs baseline: +0.6%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ invalid_span_id_header

Time: ✅ 6.521µs (SLO: <10.000µs 📉 -34.8%) vs baseline: +0.3%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ invalid_tags_header

Time: ✅ 6.537µs (SLO: <10.000µs 📉 -34.6%) vs baseline: -0.4%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.8%

✅ invalid_trace_id_header

Time: ✅ 6.561µs (SLO: <10.000µs 📉 -34.4%) vs baseline: -0.3%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ large_header_no_matches

Time: ✅ 27.506µs (SLO: <30.000µs -8.3%) vs baseline: ~same

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ large_valid_headers_all

Time: ✅ 28.698µs (SLO: <40.000µs 📉 -28.3%) vs baseline: +0.5%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ medium_header_no_matches

Time: ✅ 9.769µs (SLO: <20.000µs 📉 -51.2%) vs baseline: -0.3%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.6%

✅ medium_valid_headers_all

Time: ✅ 11.178µs (SLO: <20.000µs 📉 -44.1%) vs baseline: +0.2%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ none_propagation_style

Time: ✅ 1.695µs (SLO: <10.000µs 📉 -83.0%) vs baseline: +0.9%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ tracecontext_headers

Time: ✅ 34.420µs (SLO: <40.000µs 📉 -14.0%) vs baseline: +0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ valid_headers_all

Time: ✅ 6.606µs (SLO: <10.000µs 📉 -33.9%) vs baseline: +0.8%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ valid_headers_basic

Time: ✅ 6.102µs (SLO: <10.000µs 📉 -39.0%) vs baseline: +0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ wsgi_empty_headers

Time: ✅ 1.581µs (SLO: <10.000µs 📉 -84.2%) vs baseline: -1.1%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ wsgi_invalid_priority_header

Time: ✅ 6.588µs (SLO: <10.000µs 📉 -34.1%) vs baseline: +0.2%

Memory: ✅ 32.145MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ wsgi_invalid_span_id_header

Time: ✅ 1.598µs (SLO: <10.000µs 📉 -84.0%) vs baseline: -0.5%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ wsgi_invalid_tags_header

Time: ✅ 6.591µs (SLO: <10.000µs 📉 -34.1%) vs baseline: +0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ wsgi_invalid_trace_id_header

Time: ✅ 6.605µs (SLO: <10.000µs 📉 -34.0%) vs baseline: -0.4%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ wsgi_large_header_no_matches

Time: ✅ 28.666µs (SLO: <40.000µs 📉 -28.3%) vs baseline: -0.5%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ wsgi_large_valid_headers_all

Time: ✅ 29.835µs (SLO: <40.000µs 📉 -25.4%) vs baseline: -0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.7%

✅ wsgi_medium_header_no_matches

Time: ✅ 10.247µs (SLO: <20.000µs 📉 -48.8%) vs baseline: +0.5%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ wsgi_medium_valid_headers_all

Time: ✅ 11.706µs (SLO: <20.000µs 📉 -41.5%) vs baseline: +0.4%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.8%

✅ wsgi_valid_headers_all

Time: ✅ 6.536µs (SLO: <10.000µs 📉 -34.6%) vs baseline: +0.2%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ wsgi_valid_headers_basic

Time: ✅ 6.118µs (SLO: <10.000µs 📉 -38.8%) vs baseline: -0.2%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +5.0%

✅ httppropagationinject - 16/16

✅ ids_only

Time: ✅ 21.658µs (SLO: <30.000µs 📉 -27.8%) vs baseline: -0.4%

Memory: ✅ 32.145MB (SLO: <33.500MB -4.0%) vs baseline: +4.6%

✅ with_all

Time: ✅ 28.756µs (SLO: <40.000µs 📉 -28.1%) vs baseline: -0.7%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ with_dd_origin

Time: ✅ 25.398µs (SLO: <30.000µs 📉 -15.3%) vs baseline: -0.4%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ with_priority_and_origin

Time: ✅ 25.063µs (SLO: <40.000µs 📉 -37.3%) vs baseline: +1.0%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ with_sampling_priority

Time: ✅ 21.886µs (SLO: <30.000µs 📉 -27.0%) vs baseline: +0.5%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ with_tags

Time: ✅ 27.226µs (SLO: <40.000µs 📉 -31.9%) vs baseline: +0.2%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ with_tags_invalid

Time: ✅ 28.885µs (SLO: <40.000µs 📉 -27.8%) vs baseline: +1.4%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ with_tags_max_size

Time: ✅ 27.642µs (SLO: <40.000µs 📉 -30.9%) vs baseline: +0.1%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ iast_aspects - 40/40

✅ re_expand_aspect

Time: ✅ 31.946µs (SLO: <40.000µs 📉 -20.1%) vs baseline: +0.1%

Memory: ✅ 37.749MB (SLO: <39.000MB -3.2%) vs baseline: +5.1%

✅ re_expand_noaspect

Time: ✅ 28.680µs (SLO: <40.000µs 📉 -28.3%) vs baseline: +0.7%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +5.0%

✅ re_findall_aspect

Time: ✅ 2.900µs (SLO: <10.000µs 📉 -71.0%) vs baseline: -0.4%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.8%

✅ re_findall_noaspect

Time: ✅ 1.427µs (SLO: <10.000µs 📉 -85.7%) vs baseline: +0.4%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +5.0%

✅ re_finditer_aspect

Time: ✅ 4.446µs (SLO: <10.000µs 📉 -55.5%) vs baseline: +0.2%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%

✅ re_finditer_noaspect

Time: ✅ 1.415µs (SLO: <10.000µs 📉 -85.8%) vs baseline: +0.4%

Memory: ✅ 37.611MB (SLO: <39.000MB -3.6%) vs baseline: +4.7%

✅ re_fullmatch_aspect

Time: ✅ 2.687µs (SLO: <10.000µs 📉 -73.1%) vs baseline: ~same

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ re_fullmatch_noaspect

Time: ✅ 1.286µs (SLO: <10.000µs 📉 -87.1%) vs baseline: -0.5%

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

✅ re_group_aspect

Time: ✅ 2.944µs (SLO: <10.000µs 📉 -70.6%) vs baseline: -1.4%

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

✅ re_group_noaspect

Time: ✅ 1.593µs (SLO: <10.000µs 📉 -84.1%) vs baseline: -1.5%

Memory: ✅ 37.591MB (SLO: <39.000MB -3.6%) vs baseline: +4.9%

✅ re_groups_aspect

Time: ✅ 3.134µs (SLO: <10.000µs 📉 -68.7%) vs baseline: +0.7%

Memory: ✅ 37.591MB (SLO: <39.000MB -3.6%) vs baseline: +4.6%

✅ re_groups_noaspect

Time: ✅ 1.700µs (SLO: <10.000µs 📉 -83.0%) vs baseline: -0.5%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%

✅ re_match_aspect

Time: ✅ 2.732µs (SLO: <10.000µs 📉 -72.7%) vs baseline: +0.3%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ re_match_noaspect

Time: ✅ 1.298µs (SLO: <10.000µs 📉 -87.0%) vs baseline: -0.9%

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

✅ re_search_aspect

Time: ✅ 2.589µs (SLO: <10.000µs 📉 -74.1%) vs baseline: +0.4%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ re_search_noaspect

Time: ✅ 1.203µs (SLO: <10.000µs 📉 -88.0%) vs baseline: -0.5%

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

✅ re_sub_aspect

Time: ✅ 3.493µs (SLO: <10.000µs 📉 -65.1%) vs baseline: -0.1%

Memory: ✅ 37.631MB (SLO: <39.000MB -3.5%) vs baseline: +5.0%

✅ re_sub_noaspect

Time: ✅ 1.535µs (SLO: <10.000µs 📉 -84.7%) vs baseline: -0.7%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ re_subn_aspect

Time: ✅ 3.741µs (SLO: <10.000µs 📉 -62.6%) vs baseline: +0.7%

Memory: ✅ 37.749MB (SLO: <39.000MB -3.2%) vs baseline: +5.0%

✅ re_subn_noaspect

Time: ✅ 1.620µs (SLO: <10.000µs 📉 -83.8%) vs baseline: +0.5%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.8%

✅ iastaspects - 118/118

✅ add_aspect

Time: ✅ 0.406µs (SLO: <10.000µs 📉 -95.9%) vs baseline: +0.9%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +5.0%

✅ add_inplace_aspect

Time: ✅ 0.410µs (SLO: <10.000µs 📉 -95.9%) vs baseline: +0.8%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ add_inplace_noaspect

Time: ✅ 0.315µs (SLO: <10.000µs 📉 -96.8%) vs baseline: -0.3%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +5.0%

✅ add_noaspect

Time: ✅ 0.279µs (SLO: <10.000µs 📉 -97.2%) vs baseline: +0.5%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ bytearray_aspect

Time: ✅ 1.349µs (SLO: <10.000µs 📉 -86.5%) vs baseline: +1.1%

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

✅ bytearray_extend_aspect

Time: ✅ 1.459µs (SLO: <10.000µs 📉 -85.4%) vs baseline: -1.4%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ bytearray_extend_noaspect

Time: ✅ 0.611µs (SLO: <10.000µs 📉 -93.9%) vs baseline: -0.5%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ bytearray_noaspect

Time: ✅ 0.483µs (SLO: <10.000µs 📉 -95.2%) vs baseline: -0.5%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.7%

✅ bytes_aspect

Time: ✅ 1.310µs (SLO: <10.000µs 📉 -86.9%) vs baseline: -0.2%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ bytes_noaspect

Time: ✅ 0.494µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -0.6%

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

✅ bytesio_aspect

Time: ✅ 1.364µs (SLO: <10.000µs 📉 -86.4%) vs baseline: ~same

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ bytesio_noaspect

Time: ✅ 0.494µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -0.5%

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

✅ capitalize_aspect

Time: ✅ 0.737µs (SLO: <10.000µs 📉 -92.6%) vs baseline: +0.4%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.8%

✅ capitalize_noaspect

Time: ✅ 0.432µs (SLO: <10.000µs 📉 -95.7%) vs baseline: ~same

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ casefold_aspect

Time: ✅ 0.748µs (SLO: <10.000µs 📉 -92.5%) vs baseline: +0.7%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%

✅ casefold_noaspect

Time: ✅ 0.369µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -0.2%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +5.0%

✅ decode_aspect

Time: ✅ 0.723µs (SLO: <10.000µs 📉 -92.8%) vs baseline: +0.1%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.1%

✅ decode_noaspect

Time: ✅ 0.416µs (SLO: <10.000µs 📉 -95.8%) vs baseline: -2.2%

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

✅ encode_aspect

Time: ✅ 0.712µs (SLO: <10.000µs 📉 -92.9%) vs baseline: +1.2%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.1%

✅ encode_noaspect

Time: ✅ 0.401µs (SLO: <10.000µs 📉 -96.0%) vs baseline: +0.6%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +5.0%

✅ format_aspect

Time: ✅ 3.463µs (SLO: <10.000µs 📉 -65.4%) vs baseline: +0.9%

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

✅ format_map_aspect

Time: ✅ 3.622µs (SLO: <10.000µs 📉 -63.8%) vs baseline: +1.2%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.8%

✅ format_map_noaspect

Time: ✅ 0.775µs (SLO: <10.000µs 📉 -92.2%) vs baseline: +0.3%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%

✅ format_noaspect

Time: ✅ 0.597µs (SLO: <10.000µs 📉 -94.0%) vs baseline: +0.2%

Memory: ✅ 37.611MB (SLO: <39.000MB -3.6%) vs baseline: +4.7%

✅ index_aspect

Time: ✅ 0.359µs (SLO: <10.000µs 📉 -96.4%) vs baseline: +1.2%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.8%

✅ index_noaspect

Time: ✅ 0.282µs (SLO: <10.000µs 📉 -97.2%) vs baseline: +1.2%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.8%

✅ join_aspect

Time: ✅ 1.312µs (SLO: <10.000µs 📉 -86.9%) vs baseline: -1.1%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ join_noaspect

Time: ✅ 0.493µs (SLO: <10.000µs 📉 -95.1%) vs baseline: +0.9%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ ljust_aspect

Time: ✅ 2.625µs (SLO: <20.000µs 📉 -86.9%) vs baseline: +0.8%

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

✅ ljust_noaspect

Time: ✅ 0.404µs (SLO: <10.000µs 📉 -96.0%) vs baseline: -1.6%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%

✅ lower_aspect

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

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ lower_noaspect

Time: ✅ 0.367µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -0.1%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.9%

✅ lstrip_aspect

Time: ✅ 2.206µs (SLO: <20.000µs 📉 -89.0%) vs baseline: -0.2%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%

✅ lstrip_noaspect

Time: ✅ 0.382µs (SLO: <10.000µs 📉 -96.2%) vs baseline: +0.5%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.1%

✅ modulo_aspect

Time: ✅ 0.987µs (SLO: <10.000µs 📉 -90.1%) vs baseline: -0.6%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.7%

✅ modulo_aspect_for_bytearray_bytearray

Time: ✅ 1.543µs (SLO: <10.000µs 📉 -84.6%) vs baseline: +0.6%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.8%

✅ modulo_aspect_for_bytes

Time: ✅ 0.976µs (SLO: <10.000µs 📉 -90.2%) vs baseline: +0.1%

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

✅ modulo_aspect_for_bytes_bytearray

Time: ✅ 1.239µs (SLO: <10.000µs 📉 -87.6%) vs baseline: +0.1%

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

✅ modulo_noaspect

Time: ✅ 0.627µs (SLO: <10.000µs 📉 -93.7%) vs baseline: -0.4%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.7%

✅ replace_aspect

Time: ✅ 5.022µs (SLO: <10.000µs 📉 -49.8%) vs baseline: -0.1%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.8%

✅ replace_noaspect

Time: ✅ 0.468µs (SLO: <10.000µs 📉 -95.3%) vs baseline: +1.3%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.1%

✅ repr_aspect

Time: ✅ 0.911µs (SLO: <10.000µs 📉 -90.9%) vs baseline: +0.2%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%

✅ repr_noaspect

Time: ✅ 0.421µs (SLO: <10.000µs 📉 -95.8%) vs baseline: +1.9%

Memory: ✅ 37.611MB (SLO: <39.000MB -3.6%) vs baseline: +4.7%

✅ rstrip_aspect

Time: ✅ 1.929µs (SLO: <20.000µs 📉 -90.4%) vs baseline: +1.1%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.8%

✅ rstrip_noaspect

Time: ✅ 0.383µs (SLO: <10.000µs 📉 -96.2%) vs baseline: +2.6%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.1%

✅ slice_aspect

Time: ✅ 0.492µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -0.5%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.6%

✅ slice_noaspect

Time: ✅ 0.445µs (SLO: <10.000µs 📉 -95.5%) vs baseline: -0.9%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.3%

✅ stringio_aspect

Time: ✅ 1.550µs (SLO: <10.000µs 📉 -84.5%) vs baseline: -0.8%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ stringio_noaspect

Time: ✅ 0.725µs (SLO: <10.000µs 📉 -92.7%) vs baseline: +1.3%

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

✅ strip_aspect

Time: ✅ 2.189µs (SLO: <20.000µs 📉 -89.1%) vs baseline: +0.4%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.7%

✅ strip_noaspect

Time: ✅ 0.383µs (SLO: <10.000µs 📉 -96.2%) vs baseline: -1.5%

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

✅ swapcase_aspect

Time: ✅ 2.470µs (SLO: <10.000µs 📉 -75.3%) vs baseline: +0.3%

Memory: ✅ 37.591MB (SLO: <39.000MB -3.6%) vs baseline: +4.7%

✅ swapcase_noaspect

Time: ✅ 0.539µs (SLO: <10.000µs 📉 -94.6%) vs baseline: ~same

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +5.0%

✅ title_aspect

Time: ✅ 2.401µs (SLO: <10.000µs 📉 -76.0%) vs baseline: +1.5%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +5.0%

✅ title_noaspect

Time: ✅ 0.504µs (SLO: <10.000µs 📉 -95.0%) vs baseline: +0.4%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.8%

✅ translate_aspect

Time: ✅ 3.267µs (SLO: <10.000µs 📉 -67.3%) vs baseline: ~same

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ translate_noaspect

Time: ✅ 1.043µs (SLO: <10.000µs 📉 -89.6%) vs baseline: +0.8%

Memory: ✅ 37.631MB (SLO: <39.000MB -3.5%) vs baseline: +4.6%

✅ upper_aspect

Time: ✅ 2.252µs (SLO: <10.000µs 📉 -77.5%) vs baseline: ~same

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

✅ upper_noaspect

Time: ✅ 0.371µs (SLO: <10.000µs 📉 -96.3%) vs baseline: +0.2%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%

✅ iastaspectsospath - 24/24

✅ ospathbasename_aspect

Time: ✅ 4.238µs (SLO: <10.000µs 📉 -57.6%) vs baseline: +2.1%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +5.0%

✅ ospathbasename_noaspect

Time: ✅ 1.089µs (SLO: <10.000µs 📉 -89.1%) vs baseline: -0.3%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ ospathjoin_aspect

Time: ✅ 6.134µs (SLO: <10.000µs 📉 -38.7%) vs baseline: +0.9%

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

✅ ospathjoin_noaspect

Time: ✅ 2.292µs (SLO: <10.000µs 📉 -77.1%) vs baseline: +0.3%

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

✅ ospathnormcase_aspect

Time: ✅ 3.474µs (SLO: <10.000µs 📉 -65.3%) vs baseline: +0.5%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.8%

✅ ospathnormcase_noaspect

Time: ✅ 0.573µs (SLO: <10.000µs 📉 -94.3%) vs baseline: +0.8%

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

✅ ospathsplit_aspect

Time: ✅ 4.703µs (SLO: <10.000µs 📉 -53.0%) vs baseline: -0.3%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ ospathsplit_noaspect

Time: ✅ 1.594µs (SLO: <10.000µs 📉 -84.1%) vs baseline: +0.6%

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

✅ ospathsplitdrive_aspect

Time: ✅ 3.696µs (SLO: <10.000µs 📉 -63.0%) vs baseline: +0.9%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.8%

✅ ospathsplitdrive_noaspect

Time: ✅ 0.706µs (SLO: <10.000µs 📉 -92.9%) vs baseline: +1.1%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ ospathsplitext_aspect

Time: ✅ 4.528µs (SLO: <10.000µs 📉 -54.7%) vs baseline: -0.6%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.1%

✅ ospathsplitext_noaspect

Time: ✅ 1.387µs (SLO: <10.000µs 📉 -86.1%) vs baseline: -0.7%

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

✅ iastaspectssplit - 12/12

✅ rsplit_aspect

Time: ✅ 1.417µs (SLO: <10.000µs 📉 -85.8%) vs baseline: -0.4%

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

✅ rsplit_noaspect

Time: ✅ 0.583µs (SLO: <10.000µs 📉 -94.2%) vs baseline: ~same

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.7%

✅ split_aspect

Time: ✅ 1.392µs (SLO: <10.000µs 📉 -86.1%) vs baseline: +0.2%

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

✅ split_noaspect

Time: ✅ 0.572µs (SLO: <10.000µs 📉 -94.3%) vs baseline: +0.3%

Memory: ✅ 37.572MB (SLO: <39.000MB -3.7%) vs baseline: +4.4%

✅ splitlines_aspect

Time: ✅ 1.412µs (SLO: <10.000µs 📉 -85.9%) vs baseline: +0.5%

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

✅ splitlines_noaspect

Time: ✅ 0.583µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -0.8%

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

✅ iastpropagation - 8/8

✅ no-propagation

Time: ✅ 49.659µs (SLO: <60.000µs 📉 -17.2%) vs baseline: +0.7%

Memory: ✅ 37.631MB (SLO: <39.000MB -3.5%) vs baseline: +4.6%

✅ propagation_enabled

Time: ✅ 170.901µs (SLO: <190.000µs 📉 -10.1%) vs baseline: -0.7%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.6%

✅ propagation_enabled_100

Time: ✅ 1.967ms (SLO: <2.300ms 📉 -14.5%) vs baseline: +3.9%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ propagation_enabled_1000

Time: ✅ 33.429ms (SLO: <34.550ms -3.2%) vs baseline: +3.7%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +5.0%

✅ otelsdkspan - 24/24

✅ add-event

Time: ✅ 40.539ms (SLO: <42.000ms -3.5%) vs baseline: -0.5%

Memory: ✅ 34.524MB (SLO: <39.000MB 📉 -11.5%) vs baseline: +4.9%

✅ add-link

Time: ✅ 36.380ms (SLO: <38.550ms -5.6%) vs baseline: -0.9%

Memory: ✅ 34.544MB (SLO: <39.000MB 📉 -11.4%) vs baseline: +4.9%

✅ add-metrics

Time: ✅ 221.143ms (SLO: <232.000ms -4.7%) vs baseline: +0.2%

Memory: ✅ 34.505MB (SLO: <39.000MB 📉 -11.5%) vs baseline: +4.7%

✅ add-tags

Time: ✅ 213.462ms (SLO: <221.600ms -3.7%) vs baseline: +0.5%

Memory: ✅ 34.465MB (SLO: <39.000MB 📉 -11.6%) vs baseline: +4.7%

✅ get-context

Time: ✅ 29.012ms (SLO: <31.300ms -7.3%) vs baseline: -0.6%

Memory: ✅ 34.524MB (SLO: <39.000MB 📉 -11.5%) vs baseline: +4.9%

✅ is-recording

Time: ✅ 29.037ms (SLO: <31.000ms -6.3%) vs baseline: -0.5%

Memory: ✅ 34.485MB (SLO: <39.000MB 📉 -11.6%) vs baseline: +4.7%

✅ record-exception

Time: ✅ 63.045ms (SLO: <65.850ms -4.3%) vs baseline: -0.9%

Memory: ✅ 34.583MB (SLO: <39.000MB 📉 -11.3%) vs baseline: +4.9%

✅ set-status

Time: ✅ 31.848ms (SLO: <34.150ms -6.7%) vs baseline: -0.2%

Memory: ✅ 34.505MB (SLO: <39.000MB 📉 -11.5%) vs baseline: +4.7%

✅ start

Time: ✅ 29.197ms (SLO: <30.150ms -3.2%) vs baseline: +1.4%

Memory: ✅ 34.524MB (SLO: <39.000MB 📉 -11.5%) vs baseline: +5.0%

✅ start-finish

Time: ✅ 34.072ms (SLO: <35.350ms -3.6%) vs baseline: +0.4%

Memory: ✅ 34.524MB (SLO: <39.000MB 📉 -11.5%) vs baseline: +4.8%

✅ start-finish-telemetry

Time: ✅ 33.912ms (SLO: <35.450ms -4.3%) vs baseline: +0.1%

Memory: ✅ 34.524MB (SLO: <39.000MB 📉 -11.5%) vs baseline: +4.8%

✅ update-name

Time: ✅ 31.023ms (SLO: <33.400ms -7.1%) vs baseline: +0.2%

Memory: ✅ 34.505MB (SLO: <39.000MB 📉 -11.5%) vs baseline: +4.7%

✅ packagespackageforrootmodulemapping - 4/4

✅ cache_off

Time: ✅ 341.575ms (SLO: <354.300ms -3.6%) vs baseline: -0.4%

Memory: ✅ 38.174MB (SLO: <40.000MB -4.6%) vs baseline: +5.8%

✅ cache_on

Time: ✅ 0.389µs (SLO: <10.000µs 📉 -96.1%) vs baseline: -1.0%

Memory: ✅ 36.787MB (SLO: <39.000MB -5.7%) vs baseline: +5.3%

✅ packagesupdateimporteddependencies - 24/24

✅ import_many

Time: ✅ 154.931µs (SLO: <170.000µs -8.9%) vs baseline: -0.2%

Memory: ✅ 37.076MB (SLO: <38.500MB -3.7%) vs baseline: +4.9%

✅ import_many_cached

Time: ✅ 120.479µs (SLO: <130.000µs -7.3%) vs baseline: -1.4%

Memory: ✅ 37.005MB (SLO: <38.500MB -3.9%) vs baseline: +5.1%

✅ import_many_stdlib

Time: ✅ 1.619ms (SLO: <1.750ms -7.5%) vs baseline: -0.2%

Memory: ✅ 37.020MB (SLO: <38.500MB -3.8%) vs baseline: +4.1%

✅ import_many_stdlib_cached

Time: ✅ 0.970ms (SLO: <1.100ms 📉 -11.8%) vs baseline: +0.2%

Memory: ✅ 37.280MB (SLO: <38.500MB -3.2%) vs baseline: +5.6%

✅ import_many_unknown

Time: ✅ 828.749µs (SLO: <890.000µs -6.9%) vs baseline: +0.5%

Memory: ✅ 37.083MB (SLO: <38.500MB -3.7%) vs baseline: +4.4%

✅ import_many_unknown_cached

Time: ✅ 791.682µs (SLO: <870.000µs -9.0%) vs baseline: +0.2%

Memory: ✅ 37.208MB (SLO: <38.500MB -3.4%) vs baseline: +4.7%

✅ import_one

Time: ✅ 19.720µs (SLO: <30.000µs 📉 -34.3%) vs baseline: -0.5%

Memory: ✅ 36.979MB (SLO: <39.000MB -5.2%) vs baseline: +4.3%

✅ import_one_cache

Time: ✅ 6.328µs (SLO: <10.000µs 📉 -36.7%) vs baseline: +0.7%

Memory: ✅ 36.865MB (SLO: <38.500MB -4.2%) vs baseline: +4.2%

✅ import_one_stdlib

Time: ✅ 18.751µs (SLO: <20.000µs -6.2%) vs baseline: +0.2%

Memory: ✅ 37.085MB (SLO: <38.500MB -3.7%) vs baseline: +4.8%

✅ import_one_stdlib_cache

Time: ✅ 6.267µs (SLO: <10.000µs 📉 -37.3%) vs baseline: -1.4%

Memory: ✅ 37.075MB (SLO: <38.500MB -3.7%) vs baseline: +4.8%

✅ import_one_unknown

Time: ✅ 45.289µs (SLO: <50.000µs -9.4%) vs baseline: -0.7%

Memory: ✅ 37.029MB (SLO: <38.500MB -3.8%) vs baseline: +4.4%

✅ import_one_unknown_cache

Time: ✅ 6.296µs (SLO: <10.000µs 📉 -37.0%) vs baseline: +0.3%

Memory: ✅ 36.967MB (SLO: <38.500MB -4.0%) vs baseline: +4.5%

✅ ratelimiter - 12/12

✅ defaults

Time: ✅ 2.347µs (SLO: <10.000µs 📉 -76.5%) vs baseline: +0.8%

Memory: ✅ 31.713MB (SLO: <34.000MB -6.7%) vs baseline: +4.5%

✅ high_rate_limit

Time: ✅ 2.426µs (SLO: <10.000µs 📉 -75.7%) vs baseline: +1.0%

Memory: ✅ 31.792MB (SLO: <34.000MB -6.5%) vs baseline: +4.9%

✅ long_window

Time: ✅ 2.372µs (SLO: <10.000µs 📉 -76.3%) vs baseline: +1.3%

Memory: ✅ 31.752MB (SLO: <34.000MB -6.6%) vs baseline: +5.1%

✅ low_rate_limit

Time: ✅ 2.370µs (SLO: <10.000µs 📉 -76.3%) vs baseline: +0.7%

Memory: ✅ 31.752MB (SLO: <34.000MB -6.6%) vs baseline: +4.8%

✅ no_rate_limit

Time: ✅ 0.827µs (SLO: <10.000µs 📉 -91.7%) vs baseline: -0.5%

Memory: ✅ 31.752MB (SLO: <34.000MB -6.6%) vs baseline: +4.9%

✅ short_window

Time: ✅ 2.504µs (SLO: <10.000µs 📉 -75.0%) vs baseline: +1.1%

Memory: ✅ 31.733MB (SLO: <34.000MB -6.7%) vs baseline: +4.5%

✅ recursivecomputation - 8/8

✅ deep

Time: ✅ 309.378ms (SLO: <320.950ms -3.6%) vs baseline: +0.1%

Memory: ✅ 32.853MB (SLO: <34.500MB -4.8%) vs baseline: +4.9%

✅ deep-profiled

Time: ✅ 327.336ms (SLO: <359.150ms -8.9%) vs baseline: +0.4%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.9%

✅ medium

Time: ✅ 7.051ms (SLO: <7.400ms -4.7%) vs baseline: -0.3%

Memory: ✅ 32.008MB (SLO: <34.000MB -5.9%) vs baseline: +4.7%

✅ shallow

Time: ✅ 0.957ms (SLO: <1.050ms -8.9%) vs baseline: +0.7%

Memory: ✅ 32.145MB (SLO: <34.000MB -5.5%) vs baseline: +5.1%

✅ samplingrules - 8/8

✅ average_match

Time: ✅ 147.975µs (SLO: <290.000µs 📉 -49.0%) vs baseline: -0.2%

Memory: ✅ 32.067MB (SLO: <34.000MB -5.7%) vs baseline: +4.9%

✅ high_match

Time: ✅ 194.059µs (SLO: <480.000µs 📉 -59.6%) vs baseline: +0.4%

Memory: ✅ 32.145MB (SLO: <34.000MB -5.5%) vs baseline: +4.9%

✅ low_match

Time: ✅ 99.445µs (SLO: <120.000µs 📉 -17.1%) vs baseline: -0.9%

Memory: ✅ 632.518MB (SLO: <700.000MB -9.6%) vs baseline: +4.8%

✅ very_low_match

Time: ✅ 2.877ms (SLO: <8.500ms 📉 -66.1%) vs baseline: -1.1%

Memory: ✅ 70.175MB (SLO: <75.000MB -6.4%) vs baseline: +4.8%

✅ sethttpmeta - 32/32

✅ all-disabled

Time: ✅ 10.572µs (SLO: <20.000µs 📉 -47.1%) vs baseline: ~same

Memory: ✅ 32.558MB (SLO: <34.000MB -4.2%) vs baseline: +4.7%

✅ all-enabled

Time: ✅ 39.701µs (SLO: <50.000µs 📉 -20.6%) vs baseline: -0.6%

Memory: ✅ 32.598MB (SLO: <34.000MB -4.1%) vs baseline: +4.7%

✅ collectipvariant_exists

Time: ✅ 40.559µs (SLO: <50.000µs 📉 -18.9%) vs baseline: +0.2%

Memory: ✅ 32.578MB (SLO: <34.000MB -4.2%) vs baseline: +4.7%

✅ no-collectipvariant

Time: ✅ 39.685µs (SLO: <50.000µs 📉 -20.6%) vs baseline: -0.6%

Memory: ✅ 32.617MB (SLO: <34.000MB -4.1%) vs baseline: +4.9%

✅ no-useragentvariant

Time: ✅ 38.831µs (SLO: <50.000µs 📉 -22.3%) vs baseline: +0.6%

Memory: ✅ 32.578MB (SLO: <34.000MB -4.2%) vs baseline: +4.8%

✅ obfuscation-no-query

Time: ✅ 40.171µs (SLO: <50.000µs 📉 -19.7%) vs baseline: -0.2%

Memory: ✅ 32.598MB (SLO: <34.000MB -4.1%) vs baseline: +4.9%

✅ obfuscation-regular-case-explicit-query

Time: ✅ 75.331µs (SLO: <90.000µs 📉 -16.3%) vs baseline: ~same

Memory: ✅ 32.932MB (SLO: <34.000MB -3.1%) vs baseline: +4.9%

✅ obfuscation-regular-case-implicit-query

Time: ✅ 75.828µs (SLO: <90.000µs 📉 -15.7%) vs baseline: -0.3%

Memory: ✅ 32.971MB (SLO: <34.000MB -3.0%) vs baseline: +4.8%

✅ obfuscation-send-querystring-disabled

Time: ✅ 153.015µs (SLO: <170.000µs -10.0%) vs baseline: -0.2%

Memory: ✅ 32.912MB (SLO: <34.500MB -4.6%) vs baseline: +4.8%

✅ obfuscation-worst-case-explicit-query

Time: ✅ 147.653µs (SLO: <160.000µs -7.7%) vs baseline: ~same

Memory: ✅ 32.893MB (SLO: <34.500MB -4.7%) vs baseline: +4.5%

✅ obfuscation-worst-case-implicit-query

Time: ✅ 153.602µs (SLO: <170.000µs -9.6%) vs baseline: -0.2%

Memory: ✅ 32.971MB (SLO: <34.500MB -4.4%) vs baseline: +4.8%

✅ useragentvariant_exists_1

Time: ✅ 39.352µs (SLO: <50.000µs 📉 -21.3%) vs baseline: +0.4%

Memory: ✅ 32.617MB (SLO: <34.000MB -4.1%) vs baseline: +4.9%

✅ useragentvariant_exists_2

Time: ✅ 40.166µs (SLO: <50.000µs 📉 -19.7%) vs baseline: -0.5%

Memory: ✅ 32.598MB (SLO: <34.000MB -4.1%) vs baseline: +5.0%

✅ useragentvariant_exists_3

Time: ✅ 39.700µs (SLO: <50.000µs 📉 -20.6%) vs baseline: ~same

Memory: ✅ 32.617MB (SLO: <34.000MB -4.1%) vs baseline: +4.9%

✅ useragentvariant_not_exists_1

Time: ✅ 39.148µs (SLO: <50.000µs 📉 -21.7%) vs baseline: -0.4%

Memory: ✅ 32.578MB (SLO: <34.000MB -4.2%) vs baseline: +4.7%

✅ useragentvariant_not_exists_2

Time: ✅ 39.108µs (SLO: <50.000µs 📉 -21.8%) vs baseline: -0.4%

Memory: ✅ 32.617MB (SLO: <34.000MB -4.1%) vs baseline: +4.9%

✅ span - 26/26

✅ add-event

Time: ✅ 24.190ms (SLO: <26.200ms -7.7%) vs baseline: +0.5%

Memory: ✅ 51.541MB (SLO: <53.000MB -2.8%) vs baseline: +4.6%

✅ add-metrics

Time: ✅ 93.646ms (SLO: <98.350ms -4.8%) vs baseline: +0.7%

Memory: ✅ 605.773MB (SLO: <961.000MB 📉 -37.0%) vs baseline: +4.9%

✅ add-tags

Time: ✅ 150.726ms (SLO: <168.550ms 📉 -10.6%) vs baseline: -0.3%

Memory: ✅ 606.764MB (SLO: <962.500MB 📉 -37.0%) vs baseline: +5.0%

✅ get-context

Time: ✅ 22.411ms (SLO: <23.700ms -5.4%) vs baseline: +0.1%

Memory: ✅ 50.334MB (SLO: <53.000MB -5.0%) vs baseline: +4.6%

✅ is-recording

Time: ✅ 22.689ms (SLO: <23.900ms -5.1%) vs baseline: -0.2%

Memory: ✅ 50.370MB (SLO: <53.000MB -5.0%) vs baseline: +4.7%

✅ record-exception

Time: ✅ 42.613ms (SLO: <44.500ms -4.2%) vs baseline: +1.2%

Memory: ✅ 43.465MB (SLO: <53.000MB 📉 -18.0%) vs baseline: +5.0%

✅ set-status

Time: ✅ 24.443ms (SLO: <26.000ms -6.0%) vs baseline: ~same

Memory: ✅ 50.436MB (SLO: <53.000MB -4.8%) vs baseline: +4.6%

✅ start

Time: ✅ 22.160ms (SLO: <23.500ms -5.7%) vs baseline: +0.2%

Memory: ✅ 50.374MB (SLO: <53.000MB -5.0%) vs baseline: +4.6%

✅ start-finish

Time: ✅ 51.865ms (SLO: <55.500ms -6.5%) vs baseline: -0.2%

Memory: ✅ 32.047MB (SLO: <34.000MB -5.7%) vs baseline: +4.7%

✅ start-finish-telemetry

Time: ✅ 53.311ms (SLO: <58.300ms -8.6%) vs baseline: +0.6%

Memory: ✅ 32.145MB (SLO: <34.000MB -5.5%) vs baseline: +5.0%

✅ start-finish-traceid128

Time: ✅ 55.305ms (SLO: <60.050ms -7.9%) vs baseline: +0.2%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +5.1%

✅ start-traceid128

Time: ✅ 22.684ms (SLO: <24.600ms -7.8%) vs baseline: +1.1%

Memory: ✅ 50.427MB (SLO: <53.000MB -4.9%) vs baseline: +4.8%

✅ update-name

Time: ✅ 23.219ms (SLO: <24.100ms -3.7%) vs baseline: -0.2%

Memory: ✅ 51.106MB (SLO: <53.000MB -3.6%) vs baseline: +4.8%

✅ tracer - 6/6

✅ large

Time: ✅ 30.088ms (SLO: <32.950ms -8.7%) vs baseline: -0.4%

Memory: ✅ 33.168MB (SLO: <34.500MB -3.9%) vs baseline: +4.5%

✅ medium

Time: ✅ 2.956ms (SLO: <3.200ms -7.6%) vs baseline: +0.3%

Memory: ✅ 31.674MB (SLO: <34.000MB -6.8%) vs baseline: +4.8%

✅ small

Time: ✅ 334.831µs (SLO: <370.000µs -9.5%) vs baseline: ~same

Memory: ✅ 31.713MB (SLO: <34.000MB -6.7%) vs baseline: +5.0%

ℹ️ Scenarios Missing SLO Configuration (9 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

taegyunkim · 2025-09-22T15:48:07Z

riotfile.py

+            # Library not found or ctypes issue - try next name
+            continue
+
+    return [


Would it be possible to just specify env var for different allocators and run that as part of the existing venvs? and only for memory allocators?

This would result in running all profiling tests with different allocators.

Good idea, let me check.

@taegyunkim , fixed the code to test different allocators for test_memalloc only

taegyunkim · 2025-09-23T20:31:39Z

riotfile.py

+    jemalloc_names = [
+        "libjemalloc.so.2",  # Ubuntu/Debian
+        "libjemalloc.so.1",  # Older versions
+        "libjemalloc.so",  # Generic
+        "libjemalloc.dylib",  # macOS (though less common)
+    ]


I don't think we have jemalloc installed on our test container

scripts/ddtest find / -name "libjemalloc.so*"

this returns empty.

If we want to test with jemalloc for real, we'd need to update https://github.com/DataDog/dd-trace-py/blob/main/docker/Dockerfile
this dockerfile to install jemalloc first. Then update the testrunner images to use the updated one by updating references to testrunner images
https://github.com/search?q=repo%3ADataDog%2Fdd-trace-py+dd-trace-py%2Ftestrunner%3A+language%3AYAML&type=code

That's right - I have a note about that in the PR summary.

| note: there are perm issues for Docker containers setup affecting testing of jemalloc. Adding a defensive try/catch strategy to determine if it's installed. I will try to figure out Docker perm issues to install the lib in a follow up PR.

We should do this in a followup PR, as this one focuses on the default allocators for proof of concept.

I could potentially remove the part for testing jemalloc, and reintroduce them in the new PR.

riotfile.py

+            # Library not found or ctypes issue - try next name
+            continue
+
+    return [


brettlangdon · 2025-09-25T18:09:06Z

riotfile.py

+                    name="profile-v2-memalloc",
+                    command="python -m pytest {cmdargs} tests/profiling_v2/test_memalloc.py",
+                    pys=select_pys(),
+                    pkgs=_profile_v2_pkgs,


You don't need to DRY/redefine these here, since you are a child of the main profile-v2 venv, you'll inherit them from your parent.

brettlangdon · 2025-09-25T18:10:34Z

riotfile.py

+                    pkgs=_profile_v2_pkgs,
+                    venvs=[
+                        Venv(
+                            name="pymalloc",


you don't need/want to name these, instead you could just do:

Venv( name="profile-v2-memalloc", command="python -m pytest {cmdargs} tests/profiling_v2/test_memalloc.py", env={ "PYTHONMALLOC": ["pymalloc", "malloc", "malloc_debug", "pymalloc_debug"], }, ),

brettlangdon · 2025-09-25T18:24:32Z

tests/profiling/suitespec.yml

      - tests/profiling/suitespec.yml
      - tests/profiling_v2/*
-    pattern: profile-v2$
+    pattern: profile-v2.*$


Suggested change

pattern: profile-v2.*$

pattern: profile-v2

would be enough

brettlangdon · 2025-09-25T18:24:58Z

docker/Dockerfile

      libbz2-dev \
      libenchant-2-dev \
      libffi-dev \
+      libjemalloc2 \


do we need to update this first before we can run the new tests?

…mg (#14706) [PROF-12490: Running memory allocator tests with different allocators](https://datadoghq.atlassian.net/browse/PROF-12490) ## Description In order to test memalloc with `jemalloc` lib, we need to update the testrunner's Docker image with this lib. [14659](#14659) ## Testing signals green ## Risks n/a ## Additional Notes one more dependency in the image

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vlad-scherbich changed the title ~~testing (profiling): test various memory allocators~~ feat(profiling): add memory allocator testing variants Sep 22, 2025

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feat(profiling): add 'jemalloc' dependency to the testrunner Docker img #14706

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vlad-scherbich added 4 commits September 26, 2025 16:20

wip: debug jemalloc dependency for 'Build cp311-macosx_x86_64'

c9fa2b1

wip: re-intro jemalloc dependency for 'Build cp311-macosx_x86_64'

81eb7b3

feat(profiling): Add 'jemalloc' dependency to the testrunner Docker img

4ae4010

feat(profiling): add memory allocator testing variants

f1e6507

vlad-scherbich force-pushed the feat/memory-allocator-testing branch from 4004119 to df532e4 Compare September 26, 2025 20:51

fix allocator selection in VENV

afd4f10

vlad-scherbich force-pushed the feat/memory-allocator-testing branch from df532e4 to afd4f10 Compare September 26, 2025 20:58

feat(profiling): add memory allocator testing variants #14659

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Testing

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Performance SLOs

✅ 1-count-metric-1-times

✅ 1-count-metrics-100-times

✅ 1-distribution-metric-1-times

✅ 1-distribution-metrics-100-times

✅ 1-gauge-metric-1-times

✅ 1-gauge-metrics-100-times

✅ 1-rate-metric-1-times

✅ 1-rate-metrics-100-times

✅ 100-count-metrics-100-times

✅ 100-distribution-metrics-100-times

✅ 100-gauge-metrics-100-times

✅ 100-rate-metrics-100-times

✅ flush-1-metric

✅ flush-100-metrics

✅ flush-1000-metrics

✅ appsec

✅ exception-replay-enabled

✅ iast

✅ profiler

✅ resource-renaming

✅ span-code-origin

✅ tracer

✅ tracer-and-profiler

✅ tracer-dont-create-db-spans

✅ tracer-minimal

✅ tracer-native

✅ tracer-no-caches

✅ tracer-no-databases

✅ tracer-no-middleware

✅ tracer-no-templates

✅ errortracking-enabled-all

✅ errortracking-enabled-user

✅ tracer-enabled

✅ appsec-get

✅ appsec-post

✅ appsec-telemetry

✅ debugger

✅ iast-get

✅ profiler

✅ resource-renaming

✅ tracer

✅ tracer-native

✅ add-event

✅ add-metrics

✅ add-tags

✅ get-context

✅ is-recording

✅ record-exception

✅ set-status

✅ start

✅ start-finish

✅ start-finish-telemetry

✅ update-name

⚠️ context_with_data_listeners

✅ context_with_data_no_listeners

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