perf(profiling): reduce profiler arena memory footprint

[taegyunkim]

Description

Pins the src/native libdatadog dependencies to commit 45a451cd8fddfc479cb9357a0602e146016dc8db from DataDog/libdatadog#2048 to pick up the profiler arena memory-footprint reduction.

This also adapts the tracer flare native wrapper to the libdatadog remote-config parser registry API, which replaces RemoteConfigData with parsed product data returned by default_registry().parse(...).

Testing

• cd src/native && cargo check --features profiling
• scripts/run-tests --venv 803a341 tests/internal/test_tracer_flare_native.py -- -- tests/internal/test_tracer_flare_native.py -q
• scripts/run-tests --venv 803a341 tests/internal/test_tracer_flare.py -- -- tests/internal/test_tracer_flare.py::TracerFlareSubscriberTests::test_configuration_order_payload_is_skipped tests/internal/test_tracer_flare.py::TracerFlareSubscriberTests::test_process_flare_request_success -q
• scripts/lint fmt setup.py
• scripts/lint spelling releasenotes/notes/profiling-libdatadog-reduce-profiler-arena-d781a459638124bd.yaml
• git diff --check

Risks

• This temporarily pins dd-trace-py to an unreleased libdatadog PR commit; the pin may need to move if perf(profiling): reduce profiler arena memory footprint libdatadog#2048 is rebased or lands under a release tag.
• HUMAN-CHECK: because this changes a native dependency pin, validate an actual release wheel build/import path before merging.

Additional Notes

Native review evidence:

• Build/release: cargo check --features profiling compiled the native crate against the new libdatadog pin; targeted native flare tests passed on Python 3.12.
• Version awareness: verified 45a451cd8fddfc479cb9357a0602e146016dc8db is the current head of perf(profiling): reduce profiler arena memory footprint libdatadog#2048 and adapted to the pinned commit's remote-config API.
• Local profiler memory benchmarks were not run; expected profiler memory impact comes from the upstream libdatadog PR.

[cit-pr-commenter-54b7da]

Codeowners resolved as

releasenotes/notes/profiling-libdatadog-reduce-profiler-arena-d781a459638124bd.yaml  @DataDog/apm-python
setup.py                                                                @DataDog/python-guild
src/native/Cargo.lock                                                   @DataDog/apm-core-python
src/native/Cargo.toml                                                   @DataDog/apm-core-python
src/native/tracer_flare.rs                                              @DataDog/apm-core-python

[datadog-prod-us1-3]

 

✨ Fix all issues with BitsAI

⚠️ Warnings

🚦 8 Pipeline jobs failed

DataDog/apm-reliability/dd-trace-py | build linux serverless: [amd64, cp315-cp315, v113741238-d2b8243-manylinux2014_x86_64, 1]     

See error

Missing entries in dependencies configuration file for the 'bytecode' package.

DataDog/apm-reliability/dd-trace-py | build linux serverless: [amd64, cp315-cp315, v113741491-d2b8243-musllinux_1_2_x86_64, 1]     

See error

NotImplementedError: This version of CPython is not supported yet

DataDog/apm-reliability/dd-trace-py | build linux serverless: [arm64, cp315-cp315, v113741357-d2b8243-manylinux2014_aarch64, 1]     

See error

NotImplementedError: This version of CPython is not supported yet during imports.

View all 8 failed jobs.

ℹ️ Info

No other issues found (see more)

🧪 All tests passed
❄️ No new flaky tests detected

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[pr-commenter]

Benchmarks

Benchmark execution time: 2026-06-04 18:52:29

Comparing candidate commit 30dd566 in PR branch taegyunkim/prof-14423-reduce-profiler-arena with baseline commit 58ac3af in branch main.

Found 0 performance improvements and 5 performance regressions! Performance is the same for 615 metrics, 10 unstable metrics.

scenario:iastaspects-index_aspect

• 🟥 execution_time [+14.358µs; +17.403µs] or [+11.912%; +14.438%]

scenario:iastaspects-title_aspect

• 🟥 execution_time [+40.970µs; +49.701µs] or [+12.511%; +15.177%]

scenario:iastaspectsospath-ospathbasename_aspect

• 🟥 execution_time [+91.531µs; +101.657µs] or [+20.990%; +23.312%]

scenario:iastaspectssplit-rsplit_aspect

• 🟥 execution_time [+11.441µs; +14.517µs] or [+7.572%; +9.608%]

scenario:span-start

• 🟥 execution_time [+1.465ms; +1.656ms] or [+9.433%; +10.663%]