feat(mlflow): add mlflow support by dubloom · Pull Request #16733 · DataDog/dd-trace-py

dubloom · 2026-03-04T14:46:06Z

Important

This PR introduces an mlflow integration, changes you can also find in #16685.
This is expected as the goal, as the two PRs worked on something different for mlflow but targeting the same product. We'll do the work to properly rebase based on the which one of the two PRs will be merged first

Description

Add mlflow integration to dd-trace-py.

This integration enables:

Tracing MLflow runs
A span is created when a run starts and finished when the run ends.
Tracing MLflow steps
In MLflow, steps are defined when calling mlflow.log_metric("key", step=1). Since step increments depend on user calls, we cannot determine step boundaries in advance.

To handle this:
- A step span is started by default when a run begins.
- If the user calls log_metric with a step parameter, the current step span is finished and a new one is created.
This ensures that spans created during a step have the correct parent.
If an user defines steps, a final step span will represent the period between the last explicit step and the end of the run (because of auto creation). This span does not correspond to a real MLflow step, so it is named mlflow.tail to indicate it can be ignored.
Attaching metrics and parameters to step spans
Calls to log_metric() and log_param() automatically attach the corresponding key:value pair to the current step span (as a metric or tag, respectively).
Adding run_id to all spans
The run_id is added to every span created during a run.
Log correlation
dd.mlflow.run_id" is automatically injected into logs to enable correlation.

Testing

Tests were added under tests/contrib/mlflow

Risks

None

Additional Notes

mlflow instrumentation is not designed to be primarily used by APM.

cit-pr-commenter-54b7da · 2026-03-04T14:46:44Z

Codeowners resolved as

ddtrace/contrib/internal/mlflow/patch.py                                @DataDog/ml-observability

pr-commenter · 2026-03-04T16:14:57Z

Performance SLOs

Comparing candidate dubloom/mlflow-integration (e6f19d9) with baseline main (c48139e)

📈 Performance Regressions (2 suites)

📈 iastaspects - 118/118

✅ add_aspect

Time: ✅ 103.714µs (SLO: <130.000µs 📉 -20.2%) vs baseline: +2.5%

Memory: ✅ 43.470MB (SLO: <46.000MB -5.5%) vs baseline: +4.7%

✅ add_inplace_aspect

Time: ✅ 102.031µs (SLO: <130.000µs 📉 -21.5%) vs baseline: +0.4%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +4.9%

✅ add_inplace_noaspect

Time: ✅ 28.366µs (SLO: <40.000µs 📉 -29.1%) vs baseline: +0.7%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +4.8%

✅ add_noaspect

Time: ✅ 49.093µs (SLO: <70.000µs 📉 -29.9%) vs baseline: +0.5%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +4.9%

✅ bytearray_aspect

Time: ✅ 254.477µs (SLO: <400.000µs 📉 -36.4%) vs baseline: +1.1%

Memory: ✅ 43.490MB (SLO: <46.000MB -5.5%) vs baseline: +5.0%

✅ bytearray_extend_aspect

Time: ✅ 634.075µs (SLO: <800.000µs 📉 -20.7%) vs baseline: -0.5%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%) vs baseline: +4.7%

✅ bytearray_extend_noaspect

Time: ✅ 264.277µs (SLO: <400.000µs 📉 -33.9%) vs baseline: -0.3%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%) vs baseline: +4.7%

✅ bytearray_noaspect

Time: ✅ 138.321µs (SLO: <300.000µs 📉 -53.9%) vs baseline: +1.6%

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +4.8%

✅ bytes_aspect

Time: ✅ 217.847µs (SLO: <300.000µs 📉 -27.4%) vs baseline: -0.7%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +4.8%

✅ bytes_noaspect

Time: ✅ 134.360µs (SLO: <200.000µs 📉 -32.8%) vs baseline: +0.6%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +4.6%

✅ bytesio_aspect

Time: ✅ 3.752ms (SLO: <5.000ms 📉 -25.0%) vs baseline: -0.4%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +4.9%

✅ bytesio_noaspect

Time: ✅ 316.577µs (SLO: <420.000µs 📉 -24.6%) vs baseline: +0.7%

Memory: ✅ 43.490MB (SLO: <46.000MB -5.5%) vs baseline: +5.0%

✅ capitalize_aspect

Time: ✅ 89.225µs (SLO: <300.000µs 📉 -70.3%) vs baseline: +0.5%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%)

✅ capitalize_noaspect

Time: ✅ 255.524µs (SLO: <300.000µs 📉 -14.8%) vs baseline: +1.1%

Memory: ✅ 43.431MB (SLO: <46.000MB -5.6%) vs baseline: +4.8%

✅ casefold_aspect

Time: ✅ 88.837µs (SLO: <500.000µs 📉 -82.2%) vs baseline: -0.1%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +4.7%

✅ casefold_noaspect

Time: ✅ 308.621µs (SLO: <500.000µs 📉 -38.3%) vs baseline: +0.4%

Memory: ✅ 43.450MB (SLO: <46.000MB -5.5%) vs baseline: +5.0%

✅ decode_aspect

Time: ✅ 86.753µs (SLO: <100.000µs 📉 -13.2%) vs baseline: ~same

Memory: ✅ 43.529MB (SLO: <46.000MB -5.4%) vs baseline: +5.2%

✅ decode_noaspect

Time: ✅ 153.102µs (SLO: <210.000µs 📉 -27.1%) vs baseline: ~same

Memory: ✅ 43.431MB (SLO: <46.000MB -5.6%) vs baseline: +4.9%

✅ encode_aspect

Time: ✅ 84.362µs (SLO: <200.000µs 📉 -57.8%) vs baseline: +0.3%

Memory: ✅ 43.450MB (SLO: <46.000MB -5.5%) vs baseline: +4.7%

✅ encode_noaspect

Time: ✅ 140.389µs (SLO: <200.000µs 📉 -29.8%) vs baseline: +0.4%

Memory: ✅ 43.490MB (SLO: <46.000MB -5.5%) vs baseline: +4.9%

✅ format_aspect

Time: ✅ 14.728ms (SLO: <19.200ms 📉 -23.3%) vs baseline: +0.7%

Memory: ✅ 43.620MB (SLO: <46.000MB -5.2%) vs baseline: +4.9%

✅ format_map_aspect

Time: ✅ 16.483ms (SLO: <21.500ms 📉 -23.3%) vs baseline: -0.3%

Memory: ✅ 43.660MB (SLO: <46.000MB -5.1%) vs baseline: +5.1%

✅ format_map_noaspect

Time: ✅ 367.904µs (SLO: <500.000µs 📉 -26.4%) vs baseline: -0.8%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +4.7%

✅ format_noaspect

Time: ✅ 304.160µs (SLO: <500.000µs 📉 -39.2%) vs baseline: -0.5%

Memory: ✅ 43.293MB (SLO: <46.000MB -5.9%) vs baseline: +4.7%

✅ index_aspect

Time: ✅ 128.934µs (SLO: <300.000µs 📉 -57.0%) vs baseline: +5.7%

Memory: ✅ 43.431MB (SLO: <46.000MB -5.6%) vs baseline: +4.8%

✅ index_noaspect

Time: ✅ 40.229µs (SLO: <300.000µs 📉 -86.6%) vs baseline: -0.1%

Memory: ✅ 43.490MB (SLO: <46.000MB -5.5%)

✅ join_aspect

Time: ✅ 210.671µs (SLO: <300.000µs 📉 -29.8%) vs baseline: -0.9%

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +4.7%

✅ join_noaspect

Time: ✅ 141.618µs (SLO: <300.000µs 📉 -52.8%) vs baseline: -0.4%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +4.9%

✅ ljust_aspect

Time: ✅ 587.468µs (SLO: <700.000µs 📉 -16.1%) vs baseline: 📈 +17.0%

Memory: ✅ 43.600MB (SLO: <46.000MB -5.2%) vs baseline: +5.0%

✅ ljust_noaspect

Time: ✅ 261.286µs (SLO: <300.000µs 📉 -12.9%) vs baseline: +1.2%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +4.5%

✅ lower_aspect

Time: ✅ 301.320µs (SLO: <500.000µs 📉 -39.7%) vs baseline: +1.7%

Memory: ✅ 43.431MB (SLO: <46.000MB -5.6%) vs baseline: +4.8%

✅ lower_noaspect

Time: ✅ 237.691µs (SLO: <300.000µs 📉 -20.8%) vs baseline: +0.5%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +4.7%

✅ lstrip_aspect

Time: ✅ 0.269ms (SLO: <3.000ms 📉 -91.0%) vs baseline: -1.2%

Memory: ✅ 43.293MB (SLO: <46.000MB -5.9%) vs baseline: +4.3%

✅ lstrip_noaspect

Time: ✅ 0.177ms (SLO: <3.000ms 📉 -94.1%) vs baseline: -0.9%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +4.7%

✅ modulo_aspect

Time: ✅ 14.371ms (SLO: <18.750ms 📉 -23.4%) vs baseline: ~same

Memory: ✅ 43.431MB (SLO: <46.000MB -5.6%) vs baseline: +4.4%

✅ modulo_aspect_for_bytearray_bytearray

Time: ✅ 14.800ms (SLO: <19.350ms 📉 -23.5%) vs baseline: -1.0%

Memory: ✅ 43.521MB (SLO: <46.000MB -5.4%) vs baseline: +4.7%

✅ modulo_aspect_for_bytes

Time: ✅ 14.488ms (SLO: <18.900ms 📉 -23.3%) vs baseline: ~same

Memory: ✅ 43.542MB (SLO: <46.000MB -5.3%) vs baseline: +4.8%

✅ modulo_aspect_for_bytes_bytearray

Time: ✅ 14.688ms (SLO: <19.150ms 📉 -23.3%) vs baseline: -0.4%

Memory: ✅ 43.549MB (SLO: <46.000MB -5.3%) vs baseline: +4.9%

✅ modulo_noaspect

Time: ✅ 0.367ms (SLO: <3.000ms 📉 -87.8%) vs baseline: ~same

Memory: ✅ 43.490MB (SLO: <46.000MB -5.5%) vs baseline: +5.0%

✅ replace_aspect

Time: ✅ 18.428ms (SLO: <24.000ms 📉 -23.2%) vs baseline: -0.8%

Memory: ✅ 43.546MB (SLO: <46.000MB -5.3%) vs baseline: +4.9%

✅ replace_noaspect

Time: ✅ 280.120µs (SLO: <300.000µs -6.6%) vs baseline: +0.4%

Memory: ✅ 43.490MB (SLO: <46.000MB -5.5%) vs baseline: +5.0%

✅ repr_aspect

Time: ✅ 309.891µs (SLO: <420.000µs 📉 -26.2%) vs baseline: -0.3%

Memory: ✅ 43.293MB (SLO: <46.000MB -5.9%) vs baseline: +4.6%

✅ repr_noaspect

Time: ✅ 46.744µs (SLO: <90.000µs 📉 -48.1%) vs baseline: ~same

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +4.7%

✅ rstrip_aspect

Time: ✅ 383.632µs (SLO: <500.000µs 📉 -23.3%) vs baseline: +0.2%

Memory: ✅ 43.403MB (SLO: <46.000MB -5.6%) vs baseline: +4.7%

✅ rstrip_noaspect

Time: ✅ 186.009µs (SLO: <300.000µs 📉 -38.0%) vs baseline: +0.6%

Memory: ✅ 43.450MB (SLO: <46.000MB -5.5%) vs baseline: +5.1%

✅ slice_aspect

Time: ✅ 185.297µs (SLO: <300.000µs 📉 -38.2%) vs baseline: +1.2%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +5.0%

✅ slice_noaspect

Time: ✅ 54.308µs (SLO: <90.000µs 📉 -39.7%) vs baseline: +0.3%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.0%

✅ stringio_aspect

Time: ✅ 4.410ms (SLO: <5.000ms 📉 -11.8%) vs baseline: 📈 +14.9%

Memory: ✅ 43.568MB (SLO: <46.000MB -5.3%) vs baseline: +5.4%

✅ stringio_noaspect

Time: ✅ 344.631µs (SLO: <500.000µs 📉 -31.1%) vs baseline: +0.2%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +4.5%

✅ strip_aspect

Time: ✅ 270.280µs (SLO: <350.000µs 📉 -22.8%) vs baseline: +0.3%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +4.6%

✅ strip_noaspect

Time: ✅ 176.221µs (SLO: <240.000µs 📉 -26.6%) vs baseline: +0.3%

Memory: ✅ 43.450MB (SLO: <46.000MB -5.5%) vs baseline: +4.9%

✅ swapcase_aspect

Time: ✅ 333.406µs (SLO: <500.000µs 📉 -33.3%) vs baseline: -0.3%

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +4.7%

✅ swapcase_noaspect

Time: ✅ 273.542µs (SLO: <400.000µs 📉 -31.6%) vs baseline: -0.2%

Memory: ✅ 43.470MB (SLO: <46.000MB -5.5%) vs baseline: +5.2%

✅ title_aspect

Time: ✅ 323.657µs (SLO: <500.000µs 📉 -35.3%) vs baseline: ~same

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +4.9%

✅ title_noaspect

Time: ✅ 260.490µs (SLO: <400.000µs 📉 -34.9%) vs baseline: -0.9%

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +4.5%

✅ translate_aspect

Time: ✅ 498.961µs (SLO: <700.000µs 📉 -28.7%) vs baseline: +2.2%

Memory: ✅ 43.431MB (SLO: <46.000MB -5.6%) vs baseline: +5.0%

✅ translate_noaspect

Time: ✅ 423.877µs (SLO: <500.000µs 📉 -15.2%) vs baseline: -1.4%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.1%

✅ upper_aspect

Time: ✅ 294.970µs (SLO: <500.000µs 📉 -41.0%) vs baseline: -0.6%

Memory: ✅ 43.293MB (SLO: <46.000MB -5.9%) vs baseline: +4.5%

✅ upper_noaspect

Time: ✅ 236.635µs (SLO: <400.000µs 📉 -40.8%) vs baseline: -1.1%

Memory: ✅ 43.509MB (SLO: <46.000MB -5.4%) vs baseline: +5.1%

📈 iastaspectsospath - 24/24

✅ ospathbasename_aspect

Time: ✅ 509.030µs (SLO: <700.000µs 📉 -27.3%) vs baseline: 📈 +21.6%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%) vs baseline: +4.9%

✅ ospathbasename_noaspect

Time: ✅ 429.673µs (SLO: <700.000µs 📉 -38.6%) vs baseline: -0.3%

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +4.9%

✅ ospathjoin_aspect

Time: ✅ 625.053µs (SLO: <700.000µs 📉 -10.7%) vs baseline: -0.5%

Memory: ✅ 43.450MB (SLO: <46.000MB -5.5%) vs baseline: +5.1%

✅ ospathjoin_noaspect

Time: ✅ 631.082µs (SLO: <700.000µs -9.8%) vs baseline: -0.7%

Memory: ✅ 43.273MB (SLO: <46.000MB -5.9%) vs baseline: +4.8%

✅ ospathnormcase_aspect

Time: ✅ 346.105µs (SLO: <700.000µs 📉 -50.6%) vs baseline: -1.0%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%) vs baseline: +5.0%

✅ ospathnormcase_noaspect

Time: ✅ 357.209µs (SLO: <700.000µs 📉 -49.0%) vs baseline: -0.6%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%) vs baseline: +4.9%

✅ ospathsplit_aspect

Time: ✅ 488.122µs (SLO: <700.000µs 📉 -30.3%) vs baseline: ~same

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +4.8%

✅ ospathsplit_noaspect

Time: ✅ 497.526µs (SLO: <700.000µs 📉 -28.9%) vs baseline: -0.2%

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +5.0%

✅ ospathsplitdrive_aspect

Time: ✅ 374.413µs (SLO: <700.000µs 📉 -46.5%) vs baseline: ~same

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +4.8%

✅ ospathsplitdrive_noaspect

Time: ✅ 72.906µs (SLO: <700.000µs 📉 -89.6%) vs baseline: -1.1%

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +4.9%

✅ ospathsplitext_aspect

Time: ✅ 456.025µs (SLO: <700.000µs 📉 -34.9%) vs baseline: +0.2%

Memory: ✅ 43.293MB (SLO: <46.000MB -5.9%) vs baseline: +4.9%

✅ ospathsplitext_noaspect

Time: ✅ 463.656µs (SLO: <700.000µs 📉 -33.8%) vs baseline: ~same

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.1%

⚠️ Unstable Tests (2 suites)

⚠️

coreapiscenario - 10/10 (1 unstable)

⚠️ context_with_data_listeners

Time: ⚠️ 13.313µs (SLO: <20.000µs 📉 -33.4%) vs baseline: -0.1%

Memory: ✅ 36.058MB (SLO: <38.000MB -5.1%) vs baseline: +5.0%

✅ context_with_data_no_listeners

Time: ✅ 3.318µs (SLO: <10.000µs 📉 -66.8%) vs baseline: -0.8%

Memory: ✅ 36.058MB (SLO: <38.000MB -5.1%) vs baseline: +4.7%

✅ get_item_exists

Time: ✅ 0.579µs (SLO: <10.000µs 📉 -94.2%) vs baseline: +0.2%

Memory: ✅ 35.920MB (SLO: <38.000MB -5.5%) vs baseline: +4.3%

✅ get_item_missing

Time: ✅ 0.641µs (SLO: <10.000µs 📉 -93.6%) vs baseline: +1.0%

Memory: ✅ 36.019MB (SLO: <38.000MB -5.2%) vs baseline: +5.2%

✅ set_item

Time: ✅ 24.462µs (SLO: <30.000µs 📉 -18.5%) vs baseline: +0.2%

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +5.0%

⚠️

packagesupdateimporteddependencies - 24/24 (1 unstable)

✅ import_many

Time: ✅ 155.239µs (SLO: <170.000µs -8.7%) vs baseline: -0.6%

Memory: ✅ 40.723MB (SLO: <46.000MB 📉 -11.5%) vs baseline: +4.8%

✅ import_many_cached

Time: ✅ 121.412µs (SLO: <130.000µs -6.6%) vs baseline: +0.3%

Memory: ✅ 40.572MB (SLO: <46.000MB 📉 -11.8%) vs baseline: +3.9%

✅ import_many_stdlib

Time: ✅ 0.774ms (SLO: <1.750ms 📉 -55.8%) vs baseline: ~same

Memory: ✅ 40.722MB (SLO: <46.000MB 📉 -11.5%) vs baseline: +4.7%

⚠️ import_many_stdlib_cached

Time: ⚠️ 0.176ms (SLO: <1.100ms 📉 -84.0%) vs baseline: -0.6%

Memory: ✅ 40.728MB (SLO: <46.000MB 📉 -11.5%) vs baseline: +4.7%

✅ import_many_unknown

Time: ✅ 830.861µs (SLO: <890.000µs -6.6%) vs baseline: -0.3%

Memory: ✅ 40.942MB (SLO: <46.000MB 📉 -11.0%) vs baseline: +4.5%

✅ import_many_unknown_cached

Time: ✅ 786.246µs (SLO: <870.000µs -9.6%) vs baseline: -1.3%

Memory: ✅ 40.893MB (SLO: <46.000MB 📉 -11.1%) vs baseline: +4.7%

✅ import_one

Time: ✅ 19.900µs (SLO: <30.000µs 📉 -33.7%) vs baseline: +1.3%

Memory: ✅ 40.681MB (SLO: <46.000MB 📉 -11.6%) vs baseline: +4.6%

✅ import_one_cache

Time: ✅ 6.301µs (SLO: <10.000µs 📉 -37.0%) vs baseline: -0.7%

Memory: ✅ 40.802MB (SLO: <46.000MB 📉 -11.3%) vs baseline: +4.7%

✅ import_one_stdlib

Time: ✅ 18.707µs (SLO: <20.000µs -6.5%) vs baseline: ~same

Memory: ✅ 40.840MB (SLO: <46.000MB 📉 -11.2%) vs baseline: +4.9%

✅ import_one_stdlib_cache

Time: ✅ 6.269µs (SLO: <10.000µs 📉 -37.3%) vs baseline: -0.9%

Memory: ✅ 40.741MB (SLO: <46.000MB 📉 -11.4%) vs baseline: +4.7%

✅ import_one_unknown

Time: ✅ 45.749µs (SLO: <50.000µs -8.5%) vs baseline: +0.2%

Memory: ✅ 40.777MB (SLO: <46.000MB 📉 -11.4%) vs baseline: +4.7%

✅ import_one_unknown_cache

Time: ✅ 6.335µs (SLO: <10.000µs 📉 -36.6%) vs baseline: +0.2%

Memory: ✅ 40.787MB (SLO: <43.000MB -5.1%) vs baseline: +4.8%

✅ All Tests Passing (22 suites)

✅ codeprovenancefork - 2/2

✅ fork-10

Time: ✅ 2.124s (SLO: <2.300s -7.7%) vs baseline: +2.2%

Memory: ✅ 17.439MB (SLO: <20.000MB 📉 -12.8%) vs baseline: +4.5%

✅ djangosimple - 30/30

✅ appsec

Time: ✅ 19.553ms (SLO: <22.300ms 📉 -12.3%) vs baseline: +0.2%

Memory: ✅ 68.184MB (SLO: <73.500MB -7.2%) vs baseline: +4.8%

✅ exception-replay-enabled

Time: ✅ 1.385ms (SLO: <1.450ms -4.5%) vs baseline: -0.1%

Memory: ✅ 66.152MB (SLO: <71.500MB -7.5%) vs baseline: +4.9%

✅ iast

Time: ✅ 19.512ms (SLO: <22.250ms 📉 -12.3%) vs baseline: -0.6%

Memory: ✅ 68.164MB (SLO: <75.000MB -9.1%) vs baseline: +4.7%

✅ profiler

Time: ✅ 15.207ms (SLO: <16.550ms -8.1%) vs baseline: +0.2%

Memory: ✅ 59.202MB (SLO: <61.000MB -2.9%) vs baseline: +4.9%

✅ resource-renaming

Time: ✅ 19.410ms (SLO: <21.750ms 📉 -10.8%) vs baseline: -0.4%

Memory: ✅ 68.164MB (SLO: <73.500MB -7.3%) vs baseline: +4.9%

✅ span-code-origin

Time: ✅ 20.236ms (SLO: <28.200ms 📉 -28.2%) vs baseline: +2.2%

Memory: ✅ 67.949MB (SLO: <75.000MB -9.4%) vs baseline: +5.0%

✅ tracer

Time: ✅ 19.631ms (SLO: <21.750ms -9.7%) vs baseline: -0.3%

Memory: ✅ 68.184MB (SLO: <75.000MB -9.1%) vs baseline: +4.9%

✅ tracer-and-profiler

Time: ✅ 21.043ms (SLO: <23.500ms 📉 -10.5%) vs baseline: ~same

Memory: ✅ 69.717MB (SLO: <75.000MB -7.0%) vs baseline: +4.7%

✅ tracer-dont-create-db-spans

Time: ✅ 19.652ms (SLO: <21.500ms -8.6%) vs baseline: -0.6%

Memory: ✅ 67.987MB (SLO: <75.000MB -9.4%) vs baseline: +4.8%

✅ tracer-minimal

Time: ✅ 16.780ms (SLO: <17.500ms -4.1%) vs baseline: -0.3%

Memory: ✅ 67.889MB (SLO: <75.000MB -9.5%) vs baseline: +5.0%

✅ tracer-native

Time: ✅ 19.595ms (SLO: <21.750ms -9.9%) vs baseline: +0.4%

Memory: ✅ 68.321MB (SLO: <72.500MB -5.8%) vs baseline: +5.1%

✅ tracer-no-caches

Time: ✅ 17.633ms (SLO: <19.650ms 📉 -10.3%) vs baseline: +0.3%

Memory: ✅ 67.830MB (SLO: <75.000MB -9.6%) vs baseline: +4.8%

✅ tracer-no-databases

Time: ✅ 19.257ms (SLO: <20.100ms -4.2%) vs baseline: +0.1%

Memory: ✅ 67.830MB (SLO: <75.000MB -9.6%) vs baseline: +4.8%

✅ tracer-no-middleware

Time: ✅ 19.227ms (SLO: <21.500ms 📉 -10.6%) vs baseline: -0.4%

Memory: ✅ 67.928MB (SLO: <75.000MB -9.4%) vs baseline: +5.0%

✅ tracer-no-templates

Time: ✅ 19.580ms (SLO: <22.000ms 📉 -11.0%) vs baseline: +0.3%

Memory: ✅ 67.884MB (SLO: <73.500MB -7.6%) vs baseline: +4.8%

✅ errortrackingdjangosimple - 6/6

✅ errortracking-enabled-all

Time: ✅ 16.326ms (SLO: <19.850ms 📉 -17.8%) vs baseline: -0.2%

Memory: ✅ 67.967MB (SLO: <75.000MB -9.4%) vs baseline: +4.9%

✅ errortracking-enabled-user

Time: ✅ 16.286ms (SLO: <19.400ms 📉 -16.1%) vs baseline: -0.4%

Memory: ✅ 68.066MB (SLO: <75.000MB -9.2%) vs baseline: +5.0%

✅ tracer-enabled

Time: ✅ 16.375ms (SLO: <19.450ms 📉 -15.8%) vs baseline: +0.4%

Memory: ✅ 67.985MB (SLO: <75.000MB -9.4%) vs baseline: +4.8%

✅ errortrackingflasksqli - 6/6

✅ errortracking-enabled-all

Time: ✅ 2.112ms (SLO: <2.300ms -8.2%) vs baseline: -0.2%

Memory: ✅ 55.424MB (SLO: <60.000MB -7.6%) vs baseline: +5.1%

✅ errortracking-enabled-user

Time: ✅ 2.122ms (SLO: <2.250ms -5.7%) vs baseline: +0.3%

Memory: ✅ 55.306MB (SLO: <60.000MB -7.8%) vs baseline: +4.8%

✅ tracer-enabled

Time: ✅ 2.112ms (SLO: <2.300ms -8.2%) vs baseline: ~same

Memory: ✅ 55.384MB (SLO: <60.000MB -7.7%) vs baseline: +5.0%

✅ flasksimple - 18/18

✅ appsec-get

Time: ✅ 3.419ms (SLO: <4.750ms 📉 -28.0%) vs baseline: -0.2%

Memory: ✅ 55.502MB (SLO: <66.500MB 📉 -16.5%) vs baseline: +4.9%

✅ appsec-post

Time: ✅ 2.894ms (SLO: <6.750ms 📉 -57.1%) vs baseline: +0.2%

Memory: ✅ 55.522MB (SLO: <66.500MB 📉 -16.5%) vs baseline: +4.9%

✅ appsec-telemetry

Time: ✅ 3.444ms (SLO: <4.750ms 📉 -27.5%) vs baseline: +1.0%

Memory: ✅ 55.463MB (SLO: <66.500MB 📉 -16.6%) vs baseline: +4.7%

✅ debugger

Time: ✅ 1.872ms (SLO: <2.000ms -6.4%) vs baseline: +0.4%

Memory: ✅ 48.975MB (SLO: <51.500MB -4.9%) vs baseline: +4.9%

✅ iast-get

Time: ✅ 1.862ms (SLO: <2.000ms -6.9%) vs baseline: +0.2%

Memory: ✅ 45.672MB (SLO: <49.000MB -6.8%) vs baseline: +4.9%

✅ profiler

Time: ✅ 1.903ms (SLO: <2.100ms -9.4%) vs baseline: +0.1%

Memory: ✅ 51.433MB (SLO: <52.500MB -2.0%) vs baseline: +4.6%

✅ resource-renaming

Time: ✅ 3.399ms (SLO: <3.650ms -6.9%) vs baseline: -0.4%

Memory: ✅ 55.522MB (SLO: <60.000MB -7.5%) vs baseline: +4.9%

✅ tracer

Time: ✅ 3.412ms (SLO: <3.650ms -6.5%) vs baseline: -0.2%

Memory: ✅ 55.522MB (SLO: <60.000MB -7.5%) vs baseline: +4.9%

✅ tracer-native

Time: ✅ 3.418ms (SLO: <3.650ms -6.4%) vs baseline: +0.2%

Memory: ✅ 55.522MB (SLO: <60.000MB -7.5%) vs baseline: +4.8%

✅ flasksqli - 6/6

✅ appsec-enabled

Time: ✅ 2.109ms (SLO: <4.200ms 📉 -49.8%) vs baseline: +0.2%

Memory: ✅ 55.443MB (SLO: <66.000MB 📉 -16.0%) vs baseline: +4.9%

✅ iast-enabled

Time: ✅ 2.114ms (SLO: <2.800ms 📉 -24.5%) vs baseline: ~same

Memory: ✅ 55.424MB (SLO: <62.500MB 📉 -11.3%) vs baseline: +5.0%

✅ tracer-enabled

Time: ✅ 2.104ms (SLO: <2.250ms -6.5%) vs baseline: -0.1%

Memory: ✅ 55.404MB (SLO: <60.000MB -7.7%) vs baseline: +4.8%

✅ forktime - 4/4

✅ baseline

Time: ✅ 1.938ms (SLO: <3.000ms 📉 -35.4%) vs baseline: +3.8%

Memory: ✅ 29.334MB (SLO: <33.000MB 📉 -11.1%) vs baseline: +5.0%

✅ configured

Time: ✅ 8.608ms (SLO: <13.000ms 📉 -33.8%) vs baseline: +0.6%

Memory: ✅ 55.499MB (SLO: <60.000MB -7.5%) vs baseline: +4.8%

✅ httppropagationextract - 60/60

✅ all_styles_all_headers

Time: ✅ 80.241µs (SLO: <100.000µs 📉 -19.8%) vs baseline: +5.7%

Memory: ✅ 36.235MB (SLO: <38.000MB -4.6%) vs baseline: +5.1%

✅ b3_headers

Time: ✅ 12.835µs (SLO: <20.000µs 📉 -35.8%) vs baseline: +0.4%

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +5.1%

✅ b3_single_headers

Time: ✅ 11.871µs (SLO: <20.000µs 📉 -40.6%) vs baseline: ~same

Memory: ✅ 36.097MB (SLO: <38.000MB -5.0%) vs baseline: +4.7%

✅ datadog_tracecontext_tracestate_not_propagated_on_trace_id_no_match

Time: ✅ 61.310µs (SLO: <80.000µs 📉 -23.4%) vs baseline: ~same

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +4.9%

✅ datadog_tracecontext_tracestate_propagated_on_trace_id_match

Time: ✅ 63.144µs (SLO: <80.000µs 📉 -21.1%) vs baseline: +0.2%

Memory: ✅ 36.215MB (SLO: <38.000MB -4.7%) vs baseline: +5.3%

✅ empty_headers

Time: ✅ 1.311µs (SLO: <10.000µs 📉 -86.9%) vs baseline: +0.9%

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +4.9%

✅ full_t_id_datadog_headers

Time: ✅ 21.148µs (SLO: <30.000µs 📉 -29.5%) vs baseline: -0.1%

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +5.0%

✅ invalid_priority_header

Time: ✅ 5.879µs (SLO: <10.000µs 📉 -41.2%) vs baseline: ~same

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +5.0%

✅ invalid_span_id_header

Time: ✅ 5.915µs (SLO: <10.000µs 📉 -40.9%) vs baseline: +0.4%

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +4.8%

✅ invalid_tags_header

Time: ✅ 5.922µs (SLO: <10.000µs 📉 -40.8%) vs baseline: +0.5%

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +5.2%

✅ invalid_trace_id_header

Time: ✅ 5.894µs (SLO: <10.000µs 📉 -41.1%) vs baseline: -0.5%

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +5.1%

✅ large_header_no_matches

Time: ✅ 26.989µs (SLO: <30.000µs 📉 -10.0%) vs baseline: +0.2%

Memory: ✅ 36.215MB (SLO: <38.000MB -4.7%) vs baseline: +5.0%

✅ large_valid_headers_all

Time: ✅ 28.189µs (SLO: <40.000µs 📉 -29.5%) vs baseline: +0.1%

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +4.6%

✅ medium_header_no_matches

Time: ✅ 9.193µs (SLO: <20.000µs 📉 -54.0%) vs baseline: ~same

Memory: ✅ 36.097MB (SLO: <38.000MB -5.0%) vs baseline: +4.6%

✅ medium_valid_headers_all

Time: ✅ 10.644µs (SLO: <20.000µs 📉 -46.8%) vs baseline: +0.5%

Memory: ✅ 36.097MB (SLO: <38.000MB -5.0%) vs baseline: +4.5%

✅ none_propagation_style

Time: ✅ 1.399µs (SLO: <10.000µs 📉 -86.0%) vs baseline: +0.5%

Memory: ✅ 36.058MB (SLO: <38.000MB -5.1%) vs baseline: +4.8%

✅ tracecontext_headers

Time: ✅ 32.750µs (SLO: <40.000µs 📉 -18.1%) vs baseline: +0.3%

Memory: ✅ 36.038MB (SLO: <38.000MB -5.2%) vs baseline: +4.6%

✅ valid_headers_all

Time: ✅ 5.896µs (SLO: <10.000µs 📉 -41.0%) vs baseline: ~same

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +4.9%

✅ valid_headers_basic

Time: ✅ 5.487µs (SLO: <10.000µs 📉 -45.1%) vs baseline: ~same

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +5.0%

✅ wsgi_empty_headers

Time: ✅ 1.300µs (SLO: <10.000µs 📉 -87.0%) vs baseline: +0.4%

Memory: ✅ 36.235MB (SLO: <38.000MB -4.6%) vs baseline: +5.2%

✅ wsgi_invalid_priority_header

Time: ✅ 5.943µs (SLO: <10.000µs 📉 -40.6%) vs baseline: -0.1%

Memory: ✅ 36.176MB (SLO: <38.000MB -4.8%) vs baseline: +4.9%

✅ wsgi_invalid_span_id_header

Time: ✅ 1.306µs (SLO: <10.000µs 📉 -86.9%) vs baseline: +0.4%

Memory: ✅ 36.097MB (SLO: <38.000MB -5.0%) vs baseline: +4.7%

✅ wsgi_invalid_tags_header

Time: ✅ 5.934µs (SLO: <10.000µs 📉 -40.7%) vs baseline: -0.5%

Memory: ✅ 36.097MB (SLO: <38.000MB -5.0%) vs baseline: +4.4%

✅ wsgi_invalid_trace_id_header

Time: ✅ 5.953µs (SLO: <10.000µs 📉 -40.5%) vs baseline: -0.3%

Memory: ✅ 36.058MB (SLO: <38.000MB -5.1%) vs baseline: +4.6%

✅ wsgi_large_header_no_matches

Time: ✅ 27.975µs (SLO: <40.000µs 📉 -30.1%) vs baseline: ~same

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +5.2%

✅ wsgi_large_valid_headers_all

Time: ✅ 29.207µs (SLO: <40.000µs 📉 -27.0%) vs baseline: +0.2%

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +4.8%

✅ wsgi_medium_header_no_matches

Time: ✅ 9.635µs (SLO: <20.000µs 📉 -51.8%) vs baseline: -0.3%

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +4.7%

✅ wsgi_medium_valid_headers_all

Time: ✅ 11.106µs (SLO: <20.000µs 📉 -44.5%) vs baseline: ~same

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +4.9%

✅ wsgi_valid_headers_all

Time: ✅ 5.954µs (SLO: <10.000µs 📉 -40.5%) vs baseline: +0.2%

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +4.9%

✅ wsgi_valid_headers_basic

Time: ✅ 5.492µs (SLO: <10.000µs 📉 -45.1%) vs baseline: +0.4%

Memory: ✅ 36.176MB (SLO: <38.000MB -4.8%) vs baseline: +5.2%

✅ httppropagationinject - 16/16

✅ ids_only

Time: ✅ 20.407µs (SLO: <30.000µs 📉 -32.0%) vs baseline: +4.5%

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +5.0%

✅ with_all

Time: ✅ 26.360µs (SLO: <40.000µs 📉 -34.1%) vs baseline: ~same

Memory: ✅ 36.176MB (SLO: <38.000MB -4.8%) vs baseline: +5.0%

✅ with_dd_origin

Time: ✅ 23.253µs (SLO: <30.000µs 📉 -22.5%) vs baseline: -0.3%

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +4.9%

✅ with_priority_and_origin

Time: ✅ 22.696µs (SLO: <40.000µs 📉 -43.3%) vs baseline: -0.8%

Memory: ✅ 36.215MB (SLO: <38.000MB -4.7%) vs baseline: +5.1%

✅ with_sampling_priority

Time: ✅ 19.644µs (SLO: <30.000µs 📉 -34.5%) vs baseline: ~same

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +5.0%

✅ with_tags

Time: ✅ 24.340µs (SLO: <40.000µs 📉 -39.1%) vs baseline: -0.7%

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +4.8%

✅ with_tags_invalid

Time: ✅ 25.806µs (SLO: <40.000µs 📉 -35.5%) vs baseline: -0.3%

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +4.9%

✅ with_tags_max_size

Time: ✅ 24.878µs (SLO: <40.000µs 📉 -37.8%) vs baseline: +0.3%

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +4.8%

✅ iastaspectssplit - 12/12

✅ rsplit_aspect

Time: ✅ 153.233µs (SLO: <250.000µs 📉 -38.7%) vs baseline: +2.6%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +5.0%

✅ rsplit_noaspect

Time: ✅ 156.633µs (SLO: <250.000µs 📉 -37.3%) vs baseline: ~same

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +4.8%

✅ split_aspect

Time: ✅ 150.090µs (SLO: <250.000µs 📉 -40.0%) vs baseline: +2.0%

Memory: ✅ 43.254MB (SLO: <46.000MB -6.0%) vs baseline: +4.7%

✅ split_noaspect

Time: ✅ 153.439µs (SLO: <250.000µs 📉 -38.6%) vs baseline: -1.7%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +5.0%

✅ splitlines_aspect

Time: ✅ 145.113µs (SLO: <250.000µs 📉 -42.0%) vs baseline: +0.6%

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +4.9%

✅ splitlines_noaspect

Time: ✅ 150.308µs (SLO: <250.000µs 📉 -39.9%) vs baseline: +0.8%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%) vs baseline: +5.0%

✅ iastpropagation - 8/8

✅ no-propagation

Time: ✅ 48.069µs (SLO: <60.000µs 📉 -19.9%) vs baseline: -0.4%

Memory: ✅ 39.538MB (SLO: <42.000MB -5.9%) vs baseline: +5.2%

✅ propagation_enabled

Time: ✅ 134.920µs (SLO: <190.000µs 📉 -29.0%) vs baseline: -0.5%

Memory: ✅ 39.420MB (SLO: <42.000MB -6.1%) vs baseline: +4.9%

✅ propagation_enabled_100

Time: ✅ 1.551ms (SLO: <2.300ms 📉 -32.6%) vs baseline: -1.0%

Memory: ✅ 39.617MB (SLO: <42.000MB -5.7%) vs baseline: +5.5%

✅ propagation_enabled_1000

Time: ✅ 28.856ms (SLO: <34.550ms 📉 -16.5%) vs baseline: +0.2%

Memory: ✅ 39.754MB (SLO: <42.000MB -5.3%) vs baseline: +4.9%

✅ otelsdkspan - 24/24

✅ add-event

Time: ✅ 40.505ms (SLO: <42.000ms -3.6%) vs baseline: ~same

Memory: ✅ 38.850MB (SLO: <40.750MB -4.7%) vs baseline: +4.8%

✅ add-link

Time: ✅ 36.325ms (SLO: <38.550ms -5.8%) vs baseline: ~same

Memory: ✅ 38.850MB (SLO: <40.750MB -4.7%) vs baseline: +5.0%

✅ add-metrics

Time: ✅ 219.634ms (SLO: <232.000ms -5.3%) vs baseline: -0.3%

Memory: ✅ 38.909MB (SLO: <40.750MB -4.5%) vs baseline: +4.9%

✅ add-tags

Time: ✅ 212.370ms (SLO: <221.600ms -4.2%) vs baseline: -0.5%

Memory: ✅ 38.968MB (SLO: <40.750MB -4.4%) vs baseline: +5.2%

✅ get-context

Time: ✅ 28.968ms (SLO: <31.300ms -7.4%) vs baseline: +0.2%

Memory: ✅ 38.614MB (SLO: <40.750MB -5.2%) vs baseline: +5.1%

✅ is-recording

Time: ✅ 29.069ms (SLO: <31.000ms -6.2%) vs baseline: -0.3%

Memory: ✅ 38.673MB (SLO: <40.750MB -5.1%) vs baseline: +4.5%

✅ record-exception

Time: ✅ 62.846ms (SLO: <65.850ms -4.6%) vs baseline: -0.4%

Memory: ✅ 38.771MB (SLO: <40.750MB -4.9%) vs baseline: +4.5%

✅ set-status

Time: ✅ 32.107ms (SLO: <34.150ms -6.0%) vs baseline: +0.2%

Memory: ✅ 38.791MB (SLO: <40.750MB -4.8%) vs baseline: +5.0%

✅ start

Time: ✅ 29.070ms (SLO: <30.150ms -3.6%) vs baseline: +1.0%

Memory: ✅ 38.614MB (SLO: <40.750MB -5.2%) vs baseline: +4.8%

✅ start-finish

Time: ✅ 33.755ms (SLO: <35.350ms -4.5%) vs baseline: -0.4%

Memory: ✅ 38.810MB (SLO: <40.750MB -4.8%) vs baseline: +4.5%

✅ start-finish-telemetry

Time: ✅ 33.855ms (SLO: <35.450ms -4.5%) vs baseline: -0.4%

Memory: ✅ 38.850MB (SLO: <40.750MB -4.7%) vs baseline: +4.8%

✅ update-name

Time: ✅ 31.009ms (SLO: <33.400ms -7.2%) vs baseline: +0.4%

Memory: ✅ 38.692MB (SLO: <40.750MB -5.0%) vs baseline: +4.9%

✅ otelspan - 22/22

✅ add-event

Time: ✅ 40.387ms (SLO: <47.150ms 📉 -14.3%) vs baseline: +0.4%

Memory: ✅ 40.972MB (SLO: <47.000MB 📉 -12.8%) vs baseline: +4.6%

✅ add-metrics

Time: ✅ 251.556ms (SLO: <344.800ms 📉 -27.0%) vs baseline: ~same

Memory: ✅ 45.499MB (SLO: <47.500MB -4.2%) vs baseline: +5.0%

✅ add-tags

Time: ✅ 308.189ms (SLO: <330.000ms -6.6%) vs baseline: +0.8%

Memory: ✅ 45.469MB (SLO: <47.500MB -4.3%) vs baseline: +4.7%

✅ get-context

Time: ✅ 80.813ms (SLO: <92.350ms 📉 -12.5%) vs baseline: ~same

Memory: ✅ 41.288MB (SLO: <46.500MB 📉 -11.2%) vs baseline: +4.8%

✅ is-recording

Time: ✅ 36.724ms (SLO: <44.500ms 📉 -17.5%) vs baseline: +0.3%

Memory: ✅ 40.996MB (SLO: <47.500MB 📉 -13.7%) vs baseline: +5.2%

✅ record-exception

Time: ✅ 59.218ms (SLO: <67.650ms 📉 -12.5%) vs baseline: +0.1%

Memory: ✅ 41.573MB (SLO: <47.000MB 📉 -11.5%) vs baseline: +5.4%

✅ set-status

Time: ✅ 43.135ms (SLO: <50.400ms 📉 -14.4%) vs baseline: +0.1%

Memory: ✅ 40.840MB (SLO: <47.000MB 📉 -13.1%) vs baseline: +4.7%

✅ start

Time: ✅ 37.589ms (SLO: <43.450ms 📉 -13.5%) vs baseline: +5.1%

Memory: ✅ 40.898MB (SLO: <47.000MB 📉 -13.0%) vs baseline: +4.8%

✅ start-finish

Time: ✅ 84.994ms (SLO: <90.000ms -5.6%) vs baseline: ~same

Memory: ✅ 38.594MB (SLO: <46.500MB 📉 -17.0%) vs baseline: +4.8%

✅ start-finish-telemetry

Time: ✅ 86.664ms (SLO: <91.000ms -4.8%) vs baseline: -0.1%

Memory: ✅ 38.535MB (SLO: <46.500MB 📉 -17.1%) vs baseline: +4.8%

✅ update-name

Time: ✅ 37.854ms (SLO: <45.150ms 📉 -16.2%) vs baseline: +0.6%

Memory: ✅ 40.914MB (SLO: <47.000MB 📉 -12.9%) vs baseline: +4.6%

✅ packagespackageforrootmodulemapping - 4/4

✅ cache_off

Time: ✅ 345.978ms (SLO: <354.300ms -2.3%) vs baseline: ~same

Memory: ✅ 42.051MB (SLO: <46.000MB -8.6%) vs baseline: +4.8%

✅ cache_on

Time: ✅ 0.386µs (SLO: <10.000µs 📉 -96.1%) vs baseline: -0.2%

Memory: ✅ 40.610MB (SLO: <46.000MB 📉 -11.7%) vs baseline: +4.5%

✅ rand - 2/2

✅ rand128bits

Time: ✅ 0.183µs (SLO: <21.000µs 📉 -99.1%) vs baseline: +0.2%

✅ rand64bits

Time: ✅ 0.125µs (SLO: <15.000µs 📉 -99.2%) vs baseline: +0.5%

✅ ratelimiter - 12/12

✅ defaults

Time: ✅ 2.342µs (SLO: <10.000µs 📉 -76.6%) vs baseline: -0.7%

Memory: ✅ 36.038MB (SLO: <38.000MB -5.2%) vs baseline: +4.9%

✅ high_rate_limit

Time: ✅ 2.400µs (SLO: <10.000µs 📉 -76.0%) vs baseline: +0.2%

Memory: ✅ 36.019MB (SLO: <38.000MB -5.2%) vs baseline: +4.8%

✅ long_window

Time: ✅ 2.359µs (SLO: <10.000µs 📉 -76.4%) vs baseline: +0.5%

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +4.8%

✅ low_rate_limit

Time: ✅ 2.382µs (SLO: <10.000µs 📉 -76.2%) vs baseline: +0.7%

Memory: ✅ 36.038MB (SLO: <38.000MB -5.2%) vs baseline: +4.5%

✅ no_rate_limit

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

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +5.0%

✅ short_window

Time: ✅ 2.487µs (SLO: <10.000µs 📉 -75.1%) vs baseline: +1.6%

Memory: ✅ 36.019MB (SLO: <38.000MB -5.2%) vs baseline: +4.8%

✅ recursivecomputation - 8/8

✅ deep

Time: ✅ 310.174ms (SLO: <320.950ms -3.4%) vs baseline: +0.2%

Memory: ✅ 37.238MB (SLO: <38.750MB -3.9%) vs baseline: +5.2%

✅ deep-profiled

Time: ✅ 326.494ms (SLO: <359.150ms -9.1%) vs baseline: ~same

Memory: ✅ 42.900MB (SLO: <46.000MB -6.7%) vs baseline: +4.8%

✅ medium

Time: ✅ 7.130ms (SLO: <7.400ms -3.6%) vs baseline: ~same

Memory: ✅ 35.960MB (SLO: <38.000MB -5.4%) vs baseline: +4.5%

✅ shallow

Time: ✅ 0.983ms (SLO: <1.050ms -6.3%) vs baseline: +1.8%

Memory: ✅ 36.019MB (SLO: <38.000MB -5.2%) vs baseline: +4.6%

✅ samplingrules - 8/8

✅ average_match

Time: ✅ 151.924µs (SLO: <290.000µs 📉 -47.6%) vs baseline: +0.3%

Memory: ✅ 35.979MB (SLO: <38.000MB -5.3%) vs baseline: +4.7%

✅ high_match

Time: ✅ 204.734µs (SLO: <480.000µs 📉 -57.3%) vs baseline: +2.9%

Memory: ✅ 36.019MB (SLO: <38.000MB -5.2%) vs baseline: +4.9%

✅ low_match

Time: ✅ 100.478µs (SLO: <120.000µs 📉 -16.3%) vs baseline: -0.4%

Memory: ✅ 701.428MB (SLO: <780.000MB 📉 -10.1%) vs baseline: +4.9%

✅ very_low_match

Time: ✅ 2.963ms (SLO: <8.500ms 📉 -65.1%) vs baseline: +0.4%

Memory: ✅ 78.526MB (SLO: <85.000MB -7.6%) vs baseline: +4.8%

✅ sethttpmeta - 32/32

✅ all-disabled

Time: ✅ 10.512µs (SLO: <20.000µs 📉 -47.4%) vs baseline: -0.5%

Memory: ✅ 36.923MB (SLO: <38.750MB -4.7%) vs baseline: +4.7%

✅ all-enabled

Time: ✅ 40.786µs (SLO: <50.000µs 📉 -18.4%) vs baseline: +1.1%

Memory: ✅ 36.943MB (SLO: <38.750MB -4.7%) vs baseline: +4.7%

✅ collectipvariant_exists

Time: ✅ 40.887µs (SLO: <50.000µs 📉 -18.2%) vs baseline: ~same

Memory: ✅ 36.825MB (SLO: <38.750MB -5.0%) vs baseline: +4.8%

✅ no-collectipvariant

Time: ✅ 39.986µs (SLO: <50.000µs 📉 -20.0%) vs baseline: -0.3%

Memory: ✅ 36.864MB (SLO: <38.750MB -4.9%) vs baseline: +4.7%

✅ no-useragentvariant

Time: ✅ 38.898µs (SLO: <50.000µs 📉 -22.2%) vs baseline: +0.3%

Memory: ✅ 36.864MB (SLO: <38.750MB -4.9%) vs baseline: +4.6%

✅ obfuscation-no-query

Time: ✅ 40.573µs (SLO: <50.000µs 📉 -18.9%) vs baseline: -0.2%

Memory: ✅ 36.903MB (SLO: <38.750MB -4.8%) vs baseline: +5.0%

✅ obfuscation-regular-case-explicit-query

Time: ✅ 76.013µs (SLO: <90.000µs 📉 -15.5%) vs baseline: -0.2%

Memory: ✅ 36.844MB (SLO: <38.750MB -4.9%) vs baseline: +4.9%

✅ obfuscation-regular-case-implicit-query

Time: ✅ 76.561µs (SLO: <90.000µs 📉 -14.9%) vs baseline: -0.3%

Memory: ✅ 36.864MB (SLO: <38.750MB -4.9%) vs baseline: +4.7%

✅ obfuscation-send-querystring-disabled

Time: ✅ 155.682µs (SLO: <170.000µs -8.4%) vs baseline: +0.1%

Memory: ✅ 36.825MB (SLO: <38.750MB -5.0%) vs baseline: +4.7%

✅ obfuscation-worst-case-explicit-query

Time: ✅ 149.876µs (SLO: <160.000µs -6.3%) vs baseline: -0.2%

Memory: ✅ 36.884MB (SLO: <38.750MB -4.8%) vs baseline: +5.0%

✅ obfuscation-worst-case-implicit-query

Time: ✅ 156.116µs (SLO: <170.000µs -8.2%) vs baseline: ~same

Memory: ✅ 36.864MB (SLO: <38.750MB -4.9%) vs baseline: +4.9%

✅ useragentvariant_exists_1

Time: ✅ 39.535µs (SLO: <50.000µs 📉 -20.9%) vs baseline: -0.3%

Memory: ✅ 36.943MB (SLO: <38.750MB -4.7%) vs baseline: +5.2%

✅ useragentvariant_exists_2

Time: ✅ 40.601µs (SLO: <50.000µs 📉 -18.8%) vs baseline: -1.2%

Memory: ✅ 36.805MB (SLO: <38.750MB -5.0%) vs baseline: +4.7%

✅ useragentvariant_exists_3

Time: ✅ 40.067µs (SLO: <50.000µs 📉 -19.9%) vs baseline: -0.3%

Memory: ✅ 36.805MB (SLO: <38.750MB -5.0%) vs baseline: +4.5%

✅ useragentvariant_not_exists_1

Time: ✅ 39.581µs (SLO: <50.000µs 📉 -20.8%) vs baseline: -0.4%

Memory: ✅ 36.903MB (SLO: <38.750MB -4.8%) vs baseline: +4.9%

✅ useragentvariant_not_exists_2

Time: ✅ 39.595µs (SLO: <50.000µs 📉 -20.8%) vs baseline: +0.2%

Memory: ✅ 36.903MB (SLO: <38.750MB -4.8%) vs baseline: +5.1%

✅ span - 26/26

✅ add-event

Time: ✅ 18.328ms (SLO: <22.500ms 📉 -18.5%) vs baseline: ~same

Memory: ✅ 38.325MB (SLO: <53.000MB 📉 -27.7%) vs baseline: +5.0%

✅ add-metrics

Time: ✅ 88.059ms (SLO: <93.500ms -5.8%) vs baseline: -0.2%

Memory: ✅ 42.743MB (SLO: <53.000MB 📉 -19.4%) vs baseline: +4.9%

✅ add-tags

Time: ✅ 144.342ms (SLO: <155.000ms -6.9%) vs baseline: ~same

Memory: ✅ 42.751MB (SLO: <53.000MB 📉 -19.3%) vs baseline: +5.2%

✅ get-context

Time: ✅ 16.687ms (SLO: <20.500ms 📉 -18.6%) vs baseline: -1.0%

Memory: ✅ 38.122MB (SLO: <53.000MB 📉 -28.1%) vs baseline: +5.0%

✅ is-recording

Time: ✅ 16.773ms (SLO: <20.500ms 📉 -18.2%) vs baseline: ~same

Memory: ✅ 38.180MB (SLO: <53.000MB 📉 -28.0%) vs baseline: +5.3%

✅ record-exception

Time: ✅ 37.609ms (SLO: <41.000ms -8.3%) vs baseline: ~same

Memory: ✅ 38.762MB (SLO: <53.000MB 📉 -26.9%) vs baseline: +4.8%

✅ set-status

Time: ✅ 18.416ms (SLO: <22.000ms 📉 -16.3%) vs baseline: -0.9%

Memory: ✅ 38.083MB (SLO: <53.000MB 📉 -28.1%) vs baseline: +5.2%

✅ start

Time: ✅ 17.640ms (SLO: <20.500ms 📉 -14.0%) vs baseline: +5.5%

Memory: ✅ 38.161MB (SLO: <53.000MB 📉 -28.0%) vs baseline: +5.4%

✅ start-finish

Time: ✅ 53.032ms (SLO: <56.000ms -5.3%) vs baseline: -0.3%

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +5.0%

✅ start-finish-telemetry

Time: ✅ 54.389ms (SLO: <58.000ms -6.2%) vs baseline: +0.2%

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +5.3%

✅ start-finish-traceid128

Time: ✅ 55.766ms (SLO: <60.000ms -7.1%) vs baseline: ~same

Memory: ✅ 35.979MB (SLO: <38.000MB -5.3%) vs baseline: +4.5%

✅ start-traceid128

Time: ✅ 16.832ms (SLO: <22.500ms 📉 -25.2%) vs baseline: +1.1%

Memory: ✅ 38.122MB (SLO: <53.000MB 📉 -28.1%) vs baseline: +5.3%

✅ update-name

Time: ✅ 17.207ms (SLO: <22.000ms 📉 -21.8%) vs baseline: -0.6%

Memory: ✅ 38.299MB (SLO: <53.000MB 📉 -27.7%) vs baseline: +4.5%

✅ telemetryaddmetric - 30/30

✅ 1-count-metric-1-times

Time: ✅ 2.251µs (SLO: <20.000µs 📉 -88.7%) vs baseline: +8.9%

Memory: ✅ 36.019MB (SLO: <38.000MB -5.2%) vs baseline: +5.0%

✅ 1-count-metrics-100-times

Time: ✅ 149.611µs (SLO: <220.000µs 📉 -32.0%) vs baseline: +0.6%

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +5.3%

✅ 1-distribution-metric-1-times

Time: ✅ 2.439µs (SLO: <20.000µs 📉 -87.8%) vs baseline: -0.3%

Memory: ✅ 35.979MB (SLO: <38.000MB -5.3%) vs baseline: +4.9%

✅ 1-distribution-metrics-100-times

Time: ✅ 163.431µs (SLO: <230.000µs 📉 -28.9%) vs baseline: -0.4%

Memory: ✅ 35.920MB (SLO: <38.000MB -5.5%) vs baseline: +4.6%

✅ 1-gauge-metric-1-times

Time: ✅ 1.941µs (SLO: <20.000µs 📉 -90.3%) vs baseline: -0.2%

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +4.9%

✅ 1-gauge-metrics-100-times

Time: ✅ 136.225µs (SLO: <150.000µs -9.2%) vs baseline: -0.2%

Memory: ✅ 36.058MB (SLO: <38.000MB -5.1%) vs baseline: +5.0%

✅ 1-rate-metric-1-times

Time: ✅ 2.229µs (SLO: <20.000µs 📉 -88.9%) vs baseline: +1.1%

Memory: ✅ 35.940MB (SLO: <38.000MB -5.4%) vs baseline: +4.5%

✅ 1-rate-metrics-100-times

Time: ✅ 163.552µs (SLO: <250.000µs 📉 -34.6%) vs baseline: +0.2%

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +5.1%

✅ 100-count-metrics-100-times

Time: ✅ 15.385ms (SLO: <22.000ms 📉 -30.1%) vs baseline: +1.9%

Memory: ✅ 35.979MB (SLO: <38.000MB -5.3%) vs baseline: +4.7%

✅ 100-distribution-metrics-100-times

Time: ✅ 1.738ms (SLO: <2.550ms 📉 -31.8%) vs baseline: +0.6%

Memory: ✅ 36.392MB (SLO: <38.000MB -4.2%) vs baseline: +5.5%

✅ 100-gauge-metrics-100-times

Time: ✅ 1.401ms (SLO: <1.550ms -9.6%) vs baseline: -0.3%

Memory: ✅ 36.058MB (SLO: <38.000MB -5.1%) vs baseline: +5.3%

✅ 100-rate-metrics-100-times

Time: ✅ 1.695ms (SLO: <2.550ms 📉 -33.5%) vs baseline: +0.5%

Memory: ✅ 35.979MB (SLO: <38.000MB -5.3%) vs baseline: +4.9%

✅ flush-1-metric

Time: ✅ 3.553µs (SLO: <20.000µs 📉 -82.2%) vs baseline: -0.7%

Memory: ✅ 36.294MB (SLO: <38.000MB -4.5%) vs baseline: +4.9%

✅ flush-100-metrics

Time: ✅ 174.727µs (SLO: <250.000µs 📉 -30.1%) vs baseline: -0.3%

Memory: ✅ 36.412MB (SLO: <38.000MB -4.2%) vs baseline: +4.6%

✅ flush-1000-metrics

Time: ✅ 2.185ms (SLO: <2.500ms 📉 -12.6%) vs baseline: -0.6%

Memory: ✅ 37.218MB (SLO: <38.750MB -4.0%) vs baseline: +4.8%

✅ tracer - 6/6

✅ large

Time: ✅ 30.954ms (SLO: <32.950ms -6.1%) vs baseline: -0.5%

Memory: ✅ 37.218MB (SLO: <39.250MB -5.2%) vs baseline: +4.4%

✅ medium

Time: ✅ 3.079ms (SLO: <3.200ms -3.8%) vs baseline: +0.5%

Memory: ✅ 36.078MB (SLO: <38.750MB -6.9%) vs baseline: +5.2%

✅ small

Time: ✅ 358.334µs (SLO: <370.000µs -3.2%) vs baseline: +3.7%

Memory: ✅ 35.979MB (SLO: <38.750MB -7.2%) vs baseline: +4.8%

ℹ️ Scenarios Missing SLO Configuration (46 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
iast_aspects-re_expand_aspect
iast_aspects-re_expand_noaspect
iast_aspects-re_findall_aspect
iast_aspects-re_findall_noaspect
iast_aspects-re_finditer_aspect
iast_aspects-re_finditer_noaspect
iast_aspects-re_fullmatch_aspect
iast_aspects-re_fullmatch_noaspect
iast_aspects-re_group_aspect
iast_aspects-re_group_noaspect
iast_aspects-re_groups_aspect
iast_aspects-re_groups_noaspect
iast_aspects-re_match_aspect
iast_aspects-re_match_noaspect
iast_aspects-re_search_aspect
iast_aspects-re_search_noaspect
iast_aspects-re_sub_aspect
iast_aspects-re_sub_noaspect
iast_aspects-re_subn_aspect
iast_aspects-re_subn_noaspect
sethttpmeta-obfuscation-disabled
startup-baseline
startup-baseline_django
startup-baseline_flask
startup-ddtrace_run
startup-ddtrace_run_appsec
startup-ddtrace_run_profiling
startup-ddtrace_run_runtime_metrics
startup-ddtrace_run_send_span
startup-ddtrace_run_telemetry_disabled
startup-ddtrace_run_telemetry_enabled
startup-import_ddtrace
startup-import_ddtrace_auto
startup-import_ddtrace_auto_django
startup-import_ddtrace_auto_flask
startup-import_ddtrace_django
startup-import_ddtrace_flask

yshapiro-57

@dubloom I think this looks great, and I would be fine with merging this and addressing the following comments in separate PRs later:

For logging metrics, MLFlow also has a log_batch function that allows the user to log multiple metrics at once, oftentimes for one and the same step. It would be nice to update the step during log_batch as well as log_metric.

Also, I think that metrics are usually logged at the end of the step, not at the beginning, so it would be nice to expose some function along the lines of

from ddtrace.contrib.mlflow import set_step

set_step(19)

to give the users a way to explicitly start a step and let us know that they are starting it.

Can you run it with a script that does mlflow.set_tracking_uri("https://dd.datad0g.com/api/unstable/mlflow-tracking-server") , so that we can connect the run IDs on spans to a run ID that we store in our Postgres DB? I tried doing that today but ran into dev environment issues trying to get it to work

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ddtrace/contrib/internal/mlflow/patch.py

wantsui · 2026-03-06T15:00:30Z

tests/snapshots/tests.contrib.mlflow.test_mlflow.test_mlflow_context_manager_run.json

+    "trace_id": 0,
+    "span_id": 1,
+    "parent_id": 0,
+    "type": "",


Why is type "blank"?

wantsui · 2026-03-06T15:09:44Z

tests/snapshots/tests.contrib.mlflow.test_mlflow.test_mlflow_error_in_run.json

+    "type": "",
+    "error": 1,
+    "meta": {
+      "_dd.p.dm": "-0",


all of these spans are missing the component :)

wantsui · 2026-03-06T15:21:01Z

tests/snapshots/tests.contrib.mlflow.test_mlflow.test_mlflow_error_in_run.json

+     {
+       "name": "mlflow.step",
+       "service": "tests.contrib.mlflow",
+       "resource": "mlflow.step",


Is there anything specific about this mlflow.step action that we can split off into some kind of resource?

wantsui · 2026-03-06T15:24:08Z

releasenotes/notes/feat-mlflow-support.yaml

+    mlflow: Adds instrumentation support for ``mlflow>=2.11.0`. See the
+    ``mlflow<https://ddtrace.readthedocs.io/en/stable/integrations.html#mlflow>``
+    documentation for more information.


nit: I think it would be clearer to add tracing to this release note to differentiate it from adding support to something like MLObs:

Suggested change

mlflow: Adds instrumentation support for ``mlflow>=2.11.0`. See the

``mlflow<https://ddtrace.readthedocs.io/en/stable/integrations.html#mlflow>``

documentation for more information.

tracing: Adds instrumentation support for ``mlflow>=2.11.0`. See the

``mlflow<https://ddtrace.readthedocs.io/en/stable/integrations.html#mlflow>``

documentation for more information.

wantsui · 2026-03-06T15:27:18Z

ddtrace/contrib/internal/mlflow/patch.py

+    try:
+        return wrapped(*args, **kwargs)
+    except Exception:
+        # error happening when trying to end thte run


nit:

Suggested change

# error happening when trying to end thte run

# error happening when trying to end the run

wantsui · 2026-03-06T15:31:52Z

ddtrace/contrib/internal/mlflow/__init__.py

@@ -0,0 +1,20 @@
+"""
+The MLflow integration instruments the ``mlflow`` package.


I think it would be useful to state what parts of the MLflow the instrumentation covers since the spans in this PR are focused on "runs" and "steps", when their docs covers a wide range of functions: https://github.com/mlflow/mlflow

wantsui · 2026-03-06T15:39:12Z

tests/snapshots/tests.contrib.mlflow.test_mlflow.test_mlflow_context_manager_run.json

+  {
+    "name": "mflow.run",
+    "service": "tests.contrib.mlflow",
+    "resource": "mflow.run",


I wonder if run_name is low cardinality enough to use as a resource name here, https://github.com/mlflow/mlflow/blob/b61eb59893f9ae3814f7f69fb2c0b2fb647fd371/mlflow/tracking/fluent.py#L360?

The usefulness is that if you are querying and trying to alert on this trace metric, you can get access to how long a specific run took.

Right now the trace metrics (and subsequently the Service Page) will only give high level information and the user will need to rely on the Trace Explorer to derive meaning from their runs.

What are you calling low cardinality ?

Because it is optional and otherwise automatically generated by mlflow.
Also, it if helps, the end product of this integration is not APM

wantsui · 2026-03-06T15:40:49Z

tests/contrib/mlflow/test_mlflow.py

+    finally:
+        unpatch()
+
+


What happens when the user creates a nested run?

Based on their code it looks like this is one of the usage patterns: https://github.com/mlflow/mlflow/blob/b61eb59893f9ae3814f7f69fb2c0b2fb647fd371/mlflow/tracking/fluent.py#L360 .

I think this would be a good test.

feat(mlflow): add mlflow support

0c722ba

dubloom force-pushed the dubloom/mlflow-integration branch from 09ce55b to 0c722ba Compare March 4, 2026 15:25

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dubloom force-pushed the dubloom/mlflow-integration branch 4 times, most recently from 7e46b0e to d2981c5 Compare March 4, 2026 22:27

fix CI

e8f165f

dubloom force-pushed the dubloom/mlflow-integration branch from 660b1f9 to e8f165f Compare March 5, 2026 10:54

yshapiro-57 approved these changes Mar 5, 2026

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codeowners

9e9b16d

dubloom marked this pull request as ready for review March 6, 2026 09:32

dubloom requested review from a team as code owners March 6, 2026 09:32

dubloom requested review from juanjux, quinna-h and rachelyangdog March 6, 2026 09:32

Merge branch 'main' into dubloom/mlflow-integration

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chatgpt-codex-connector bot reviewed Mar 6, 2026

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	# error happening when trying to end thte run
	# error happening when trying to end the run

		@@ -0,0 +1,20 @@
		"""
		The MLflow integration instruments the ``mlflow`` package.

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Performance SLOs

✅ add_aspect

✅ add_inplace_aspect

✅ add_inplace_noaspect

✅ add_noaspect

✅ bytearray_aspect

✅ bytearray_extend_aspect

✅ bytearray_extend_noaspect

✅ bytearray_noaspect

✅ bytes_aspect

✅ bytes_noaspect

✅ bytesio_aspect

✅ bytesio_noaspect

✅ capitalize_aspect

✅ capitalize_noaspect

✅ casefold_aspect

✅ casefold_noaspect

✅ decode_aspect

✅ decode_noaspect

✅ encode_aspect

✅ encode_noaspect

✅ format_aspect

✅ format_map_aspect

✅ format_map_noaspect

✅ format_noaspect

✅ index_aspect

✅ index_noaspect

✅ join_aspect

✅ join_noaspect

✅ ljust_aspect

✅ ljust_noaspect

✅ lower_aspect

✅ lower_noaspect

✅ lstrip_aspect

✅ lstrip_noaspect

✅ modulo_aspect

✅ modulo_aspect_for_bytearray_bytearray

✅ modulo_aspect_for_bytes

✅ modulo_aspect_for_bytes_bytearray

✅ modulo_noaspect

✅ replace_aspect

✅ replace_noaspect

✅ repr_aspect

✅ repr_noaspect

✅ rstrip_aspect

✅ rstrip_noaspect

✅ slice_aspect

✅ slice_noaspect

✅ stringio_aspect

✅ stringio_noaspect

✅ strip_aspect

✅ strip_noaspect

✅ swapcase_aspect

✅ swapcase_noaspect

✅ title_aspect

✅ title_noaspect

✅ translate_aspect

✅ translate_noaspect

✅ upper_aspect

✅ upper_noaspect

✅ ospathbasename_aspect

✅ ospathbasename_noaspect

✅ ospathjoin_aspect

✅ ospathjoin_noaspect

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