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chore: prepare crate for publishing - #2466

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julio/prepare-libdd-data-pipeline-core
Sep 4, 2026
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chore: prepare crate for publishing#2466
gh-worker-dd-mergequeue-cf854d[bot] merged 1 commit into
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julio/prepare-libdd-data-pipeline-core

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@hoolioh

@hoolioh hoolioh commented Sep 4, 2026

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What does this PR do?

Prepare crate for publication.

@hoolioh
hoolioh requested review from a team as code owners September 4, 2026 13:16
@hoolioh
hoolioh force-pushed the julio/prepare-libdd-data-pipeline-core branch from 552f4c8 to 5c3c69a Compare September 4, 2026 13:17
@hoolioh
hoolioh requested a review from a team as a code owner September 4, 2026 13:17
@hoolioh
hoolioh force-pushed the julio/prepare-libdd-data-pipeline-core branch from 5c3c69a to 19ceb98 Compare September 4, 2026 13:17
@datadog-datadog-prod-us1-2

datadog-datadog-prod-us1-2 Bot commented Sep 4, 2026

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Tests

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
Patch Coverage: 100.00%
Overall Coverage: 77.06% (-0.11%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 19ceb98 | Docs | View more details | Give us feedback!

@dd-octo-sts

dd-octo-sts Bot commented Sep 4, 2026

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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 91.32 MB 91.32 MB +0% (+4.26 KB) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.45 MB 8.45 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.38 MB 11.38 MB -0% (-24 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 102.61 MB 102.61 MB -0% (-3.64 KB) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.32 MB 27.32 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 96.08 KB 96.08 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 185.42 MB 185.41 MB -0% (-16.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 804.07 MB 803.94 MB --.01% (-135.91 KB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.00 MB 9.00 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 96.08 KB 96.08 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 26.20 MB 26.20 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 52.21 MB 52.21 MB -0% (-28 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 23.82 MB 23.82 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 97.58 KB 97.58 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 190.44 MB 190.44 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 787.46 MB 786.99 MB --.05% (-480.50 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 6.96 MB 6.96 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 97.58 KB 97.58 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 28.18 MB 28.18 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 49.70 MB 49.70 MB +0% (+652 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 81.48 MB 81.48 MB +0% (+4.53 KB) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 9.41 MB 9.41 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 97.21 MB 97.21 MB -0% (-1.55 KB) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.46 MB 11.46 MB +0% (+8 B) 👌

@pr-commenter

pr-commenter Bot commented Sep 4, 2026

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Benchmarks

Comparison

Benchmark execution time: 2026-09-04 14:01:33

Comparing candidate commit 19ceb98 in PR branch julio/prepare-libdd-data-pipeline-core with baseline commit 48e990d in branch main.

📊 Benchmarking dashboard

Found 0 performance improvements and 0 performance regressions! Performance is the same for 152 metrics, 1 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

  • 🟩 = significantly better candidate vs. baseline
  • 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

Unstable benchmarks

These benchmarks have a confidence interval too wide to call a change; treat them as noise rather than signal.

scenario:flagevaluation_evp/coalescer/typical/100flags_50users_10fields

  • unstable execution_time [-8.446µs; +11.965µs] or [-4.546%; +6.439%]
Benchmark execution time: 2026-09-04 14:05:34

Comparing candidate commit 19ceb98 in PR branch julio/prepare-libdd-data-pipeline-core with baseline commit 48e990d in branch main.

📊 Benchmarking dashboard

Found 5 performance improvements and 7 performance regressions! Performance is the same for 157 metrics, 10 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

  • 🟩 = significantly better candidate vs. baseline
  • 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

scenario:alloc_free/system/4096

  • 🟩 execution_time [-12.920ns; -12.749ns] or [-13.914%; -13.730%]

scenario:credit_card/is_card_number_no_luhn/ 3782-8224-6310-005

  • 🟩 throughput [+641498.741op/s; +763698.212op/s] or [+4.156%; +4.947%]

scenario:glob_matcher/ascii_wildcard_backtrack_match/wall_time

  • 🟥 execution_time [+1.720ns; +1.742ns] or [+4.667%; +4.726%]

scenario:glob_matcher/ascii_wildcard_question_match/wall_time

  • 🟥 execution_time [+1.797ns; +1.823ns] or [+4.877%; +4.949%]

scenario:glob_matcher/unicode_exact_match/wall_time

  • 🟩 execution_time [-4.993ns; -4.936ns] or [-6.358%; -6.285%]

scenario:no_profiler/short_circuit/4096

  • 🟩 execution_time [-14.372ns; -14.251ns] or [-13.830%; -13.714%]

scenario:profiler_attached/fast_path_system/256

  • 🟩 execution_time [-2.626ns; -2.543ns] or [-8.950%; -8.669%]

scenario:profiler_attached/slow_path_system/4096

  • 🟥 execution_time [+8.813ns; +8.936ns] or [+5.935%; +6.018%]

scenario:trace_buffer/2_senders/no_delay

  • 🟥 execution_time [+300.164µs; +322.254µs] or [+18.423%; +19.778%]
  • 🟥 throughput [-182879.475op/s; -170635.389op/s] or [-16.543%; -15.435%]

scenario:trace_buffer/4_senders/no_delay

  • 🟥 execution_time [+221.739µs; +237.186µs] or [+6.192%; +6.623%]
  • 🟥 throughput [-62459.460op/s; -58567.891op/s] or [-6.213%; -5.826%]

Unstable benchmarks

These benchmarks have a confidence interval too wide to call a change; treat them as noise rather than signal.

scenario:datadog_sample_span/parent_not_sampled_short_circuit/allocated_bytes

  • unstable execution_time [-0.000ns; +0.000ns] or [+514.861%; -514.861%]

scenario:datadog_sample_span/parent_sampled_short_circuit/allocated_bytes

  • unstable execution_time [-0.000ns; +0.000ns] or [+514.808%; -514.838%]

scenario:glob_matcher/ascii_case_insensitive_match/allocated_bytes

  • unstable execution_time [-0.000ns; +0.000ns] or [+514.900%; -514.878%]

scenario:glob_matcher/ascii_exact_match/allocated_bytes

  • unstable execution_time [-0.000ns; +0.000ns] or [+516.558%; -515.609%]

scenario:glob_matcher/ascii_exact_miss/allocated_bytes

  • unstable execution_time [-0.000ns; +0.000ns] or [+515.063%; -514.950%]

scenario:glob_matcher/ascii_wildcard_backtrack_match/allocated_bytes

  • unstable execution_time [-0.000ns; +0.000ns] or [+514.120%; -514.535%]

scenario:glob_matcher/ascii_wildcard_heavy_backtrack/allocated_bytes

  • unstable execution_time [-0.000ns; +0.000ns] or [+514.802%; -514.835%]

scenario:glob_matcher/ascii_wildcard_question_match/allocated_bytes

  • unstable execution_time [-0.000ns; +0.000ns] or [+516.137%; -515.423%]

scenario:glob_matcher/ascii_wildcard_star_match/allocated_bytes

  • unstable execution_time [-0.000ns; +0.000ns] or [+514.914%; -514.885%]

scenario:glob_matcher/star_short_circuit/allocated_bytes

  • unstable execution_time [-0.000ns; +0.000ns] or [+514.410%; -514.663%]

Candidate

Omitted due to size.

Baseline

Omitted due to size.

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3 participants