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feat(telemetry): add stable session identifier headers#1782

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ayan.khan/stable-session-identifier-headers
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feat(telemetry): add stable session identifier headers#1782
khanayan123 wants to merge 2 commits intomainfrom
ayan.khan/stable-session-identifier-headers

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@khanayan123 khanayan123 commented Mar 23, 2026

Summary

Implements the Stable Service Instance Identifier RFC for libdd-telemetry.

  • DD-Session-ID: added to every telemetry request, set to the current runtime_id
  • DD-Root-Session-ID: added only in child processes (when root_session_id != runtime_id); backend infers root = self when absent
  • New root_session_id field on TelemetryWorkerBuilder — callers set this to the inherited root from the parent process; defaults to runtime_id (making this process the root)

Changes

  • src/worker/http_client.rs: add SESSION_ID and ROOT_SESSION_ID header name constants
  • src/worker/mod.rs:
    • TelemetryWorkerBuilder: add pub root_session_id: Option<String>
    • TelemetryWorker: add root_session_id: String
    • build_worker(): compute root_session_id from builder field, falling back to runtime_id
    • build_request(): emit DD-Session-ID always; emit DD-Root-Session-ID when runtime_id != root_session_id

Related

Test plan

  • Unit tests for build_request() asserting header presence/absence
  • CI green

@khanayan123 @claude
feat(telemetry): add stable session identifier headers
fe2f6c7 
Add DD-Session-ID and DD-Root-Session-ID HTTP headers to all telemetry
requests per the Stable Service Instance Identifier RFC.

- Add SESSION_ID and ROOT_SESSION_ID header constants to http_client
- Add root_session_id field to TelemetryWorkerBuilder (None = use runtime_id)
- Store root_session_id on TelemetryWorker, defaulting to runtime_id when unset
- Emit DD-Session-ID on every request (set to runtime_id)
- Emit DD-Root-Session-ID only in child processes (when != runtime_id)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
@khanayan123 khanayan123 mentioned this pull request Mar 23, 2026
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📚 Documentation Check Results

⚠️ 477 documentation warning(s) found

📦 libdd-telemetry - 477 warning(s)

Updated: 2026-03-23 19:01:54 UTC | Commit: f2218e1 | missing-docs job results

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Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

  • Base Branch: origin/main
  • PR Branch: origin/ayan.khan/stable-session-identifier-headers

Summary by Rule

Rule Base Branch PR Branch Change
expect_used 3 3 No change (0%)
unwrap_used 13 13 No change (0%)
Total 16 16 No change (0%)

Annotation Counts by File

File Base Branch PR Branch Change
libdd-telemetry/src/worker/http_client.rs 3 3 No change (0%)
libdd-telemetry/src/worker/mod.rs 13 13 No change (0%)

Annotation Stats by Crate

Crate Base Branch PR Branch Change
clippy-annotation-reporter 5 5 No change (0%)
datadog-ffe-ffi 1 1 No change (0%)
datadog-ipc 20 20 No change (0%)
datadog-live-debugger 6 6 No change (0%)
datadog-live-debugger-ffi 10 10 No change (0%)
datadog-profiling-replayer 4 4 No change (0%)
datadog-remote-config 3 3 No change (0%)
datadog-sidecar 55 55 No change (0%)
libdd-common 10 10 No change (0%)
libdd-common-ffi 12 12 No change (0%)
libdd-data-pipeline 5 5 No change (0%)
libdd-ddsketch 2 2 No change (0%)
libdd-dogstatsd-client 1 1 No change (0%)
libdd-profiling 13 13 No change (0%)
libdd-telemetry 19 19 No change (0%)
libdd-tinybytes 4 4 No change (0%)
libdd-trace-normalization 2 2 No change (0%)
libdd-trace-obfuscation 8 8 No change (0%)
libdd-trace-utils 15 15 No change (0%)
Total 195 195 No change (0%)

About This Report

This report tracks Clippy allow annotations for specific rules, showing how they've changed in this PR. Decreasing the number of these annotations generally improves code quality.

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🔒 Cargo Deny Results

⚠️ 3 issue(s) found, showing only errors (advisories, bans, sources)

📦 libdd-telemetry - 3 error(s)

Show output 
error[vulnerability]: AWS-LC X.509 Name Constraints Bypass via Wildcard/Unicode CN
  ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:6:1
  │
6 │ aws-lc-sys 0.38.0 registry+https://github.com/rust-lang/crates.io-index
  │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
  │
  ├ ID: RUSTSEC-2026-0044
  ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0044
  ├ A logic error in CN (Common Name) validation allows certificates with
    wildcard or raw UTF-8 Unicode CN values to bypass name constraints
    enforcement. The `cn2dnsid` function does not recognize these CN patterns
    as valid DNS identifiers, causing `NAME_CONSTRAINTS_check_CN` to skip
    validation. However, `X509_check_host` accepts these CN values when no
    dNSName SAN is present, allowing certificates to bypass name constraints
    while still being used for hostname verification.
    
    Customers of AWS services do not need to take action. Applications using
    `aws-lc-sys` should upgrade to the most recent release of `aws-lc-sys`.
    
    ## Workarounds
    
    Applications that set `X509_CHECK_FLAG_NEVER_CHECK_SUBJECT` to disable CN
    fallback are not affected. Applications that only encounter certificates
    with dNSName SANs (standard for public WebPKI) are also not affected.
    
    Otherwise, there is no workaround and applications using `aws-lc-sys` should
    upgrade to the most recent releases of `aws-lc-sys`.
  ├ Solution: Upgrade to >=0.39.0 (try `cargo update -p aws-lc-sys`)
  ├ aws-lc-sys v0.38.0
    └── aws-lc-rs v1.16.1
        ├── rustls v0.23.37
        │   ├── hyper-rustls v0.27.7
        │   │   └── libdd-common v3.0.0
        │   │       └── libdd-telemetry v3.0.0
        │   ├── libdd-common v3.0.0 (*)
        │   └── tokio-rustls v0.26.0
        │       ├── hyper-rustls v0.27.7 (*)
        │       └── libdd-common v3.0.0 (*)
        └── rustls-webpki v0.103.9
            └── rustls v0.23.37 (*)

error[vulnerability]: CRL Distribution Point Scope Check Logic Error in AWS-LC
  ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:6:1
  │
6 │ aws-lc-sys 0.38.0 registry+https://github.com/rust-lang/crates.io-index
  │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
  │
  ├ ID: RUSTSEC-2026-0048
  ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0048
  ├ A logic error in CRL distribution point matching in AWS-LC allows a revoked
    certificate to bypass revocation checks during certificate validation, when
    the application enables CRL checking and uses partitioned CRLs with Issuing
    Distribution Point (IDP) extensions.
    
    Customers of AWS services do not need to take action. `aws-lc-sys` contains
    code from AWS-LC. Applications using `aws-lc-sys` should upgrade to the most
    recent release of `aws-lc-sys`.
    
    ## Workarounds
    
    Applications can workaround this issue if they do not enable CRL checking
    (`X509_V_FLAG_CRL_CHECK`). Applications using complete (non-partitioned)
    CRLs without IDP extensions are also not affected.
    
    Otherwise, there is no workaround and applications using `aws-lc-sys` should
    upgrade to the most recent releases of `aws-lc-sys`.
  ├ Announcement: https://aws.amazon.com/security/security-bulletins/2026-010-AWS
  ├ Solution: Upgrade to >=0.39.0 (try `cargo update -p aws-lc-sys`)
  ├ aws-lc-sys v0.38.0
    └── aws-lc-rs v1.16.1
        ├── rustls v0.23.37
        │   ├── hyper-rustls v0.27.7
        │   │   └── libdd-common v3.0.0
        │   │       └── libdd-telemetry v3.0.0
        │   ├── libdd-common v3.0.0 (*)
        │   └── tokio-rustls v0.26.0
        │       ├── hyper-rustls v0.27.7 (*)
        │       └── libdd-common v3.0.0 (*)
        └── rustls-webpki v0.103.9
            └── rustls v0.23.37 (*)

error[vulnerability]: CRLs not considered authoritative by Distribution Point due to faulty matching logic
   ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:93:1
   │
93 │ rustls-webpki 0.103.9 registry+https://github.com/rust-lang/crates.io-index
   │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
   │
   ├ ID: RUSTSEC-2026-0049
   ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0049
   ├ If a certificate had more than one `distributionPoint`, then only the first `distributionPoint` would be considered against each CRL's `IssuingDistributionPoint` `distributionPoint`, and then the certificate's subsequent `distributionPoint`s would be ignored.
     
     The impact was that correctly provided CRLs would not be consulted to check revocation. With `UnknownStatusPolicy::Deny` (the default) this would lead to incorrect but safe `Error::UnknownRevocationStatus`. With `UnknownStatusPolicy::Allow` this would lead to inappropriate acceptance of revoked certificates.
     
     This vulnerability is thought to be of limited impact. This is because both the certificate and CRL are signed -- an attacker would need to compromise a trusted issuing authority to trigger this bug.  An attacker with such capabilities could likely bypass revocation checking through other more impactful means (such as publishing a valid, empty CRL.)
     
     More likely, this bug would be latent in normal use, and an attacker could leverage faulty revocation checking to continue using a revoked credential.
     
     This vulnerability is identified as [GHSA-pwjx-qhcg-rvj4](https://github.com/rustls/webpki/security/advisories/GHSA-pwjx-qhcg-rvj4). Thank you to @1seal for the report.
   ├ Solution: Upgrade to >=0.103.10 (try `cargo update -p rustls-webpki`)
   ├ rustls-webpki v0.103.9
     └── rustls v0.23.37
         ├── hyper-rustls v0.27.7
         │   └── libdd-common v3.0.0
         │       └── libdd-telemetry v3.0.0
         ├── libdd-common v3.0.0 (*)
         └── tokio-rustls v0.26.0
             ├── hyper-rustls v0.27.7 (*)
             └── libdd-common v3.0.0 (*)

advisories FAILED, bans ok, sources ok

Updated: 2026-03-23 19:05:22 UTC | Commit: f2218e1 | dependency-check job results

@khanayan123 @claude
chore(telemetry): fix rustfmt formatting
f1dcf15 
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Benchmarks

Comparison

Benchmark execution time: 2026-03-23 19:18:11

Comparing candidate commit f1dcf15 in PR branch ayan.khan/stable-session-identifier-headers with baseline commit 5ff99ff in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 61 metrics, 0 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 ----------------------------------'

Candidate

Candidate benchmark details

Group 1

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
single_flag_killswitch/rules-based execution_time 189.978ns 192.304ns ± 1.970ns 191.939ns ± 1.452ns 193.406ns 196.263ns 197.622ns 199.323ns 3.85% 1.094 0.852 1.02% 0.139ns 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
single_flag_killswitch/rules-based execution_time [192.031ns; 192.577ns] or [-0.142%; +0.142%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample_frames_x1000 execution_time 4.167ms 4.171ms ± 0.002ms 4.171ms ± 0.002ms 4.172ms 4.176ms 4.179ms 4.181ms 0.25% 1.101 2.094 0.06% 0.000ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_frames_x1000 execution_time [4.171ms; 4.172ms] or [-0.008%; +0.008%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
receiver_entry_point/report/2598 execution_time 3.411ms 3.443ms ± 0.023ms 3.437ms ± 0.010ms 3.449ms 3.494ms 3.513ms 3.573ms 3.96% 2.020 5.935 0.66% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2598 execution_time [3.440ms; 3.446ms] or [-0.092%; +0.092%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
two way interface execution_time 13.855µs 13.959µs ± 0.050µs 13.955µs ± 0.039µs 13.992µs 14.046µs 14.075µs 14.174µs 1.57% 0.606 0.687 0.36% 0.004µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [13.952µs; 13.966µs] or [-0.050%; +0.050%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
sql/obfuscate_sql_string execution_time 85.141µs 85.324µs ± 0.202µs 85.285µs ± 0.055µs 85.351µs 85.567µs 85.969µs 87.362µs 2.43% 6.304 54.792 0.24% 0.014µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [85.296µs; 85.352µs] or [-0.033%; +0.033%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching deserializing traces from msgpack to their internal representation execution_time 49.755ms 50.098ms ± 1.003ms 49.969ms ± 0.067ms 50.010ms 50.311ms 56.024ms 59.199ms 18.47% 7.751 61.767 2.00% 0.071ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching deserializing traces from msgpack to their internal representation execution_time [49.959ms; 50.237ms] or [-0.277%; +0.277%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching serializing traces from their internal representation to msgpack execution_time 14.668ms 14.735ms ± 0.033ms 14.732ms ± 0.017ms 14.748ms 14.787ms 14.856ms 14.910ms 1.21% 1.894 6.201 0.22% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching serializing traces from their internal representation to msgpack execution_time [14.730ms; 14.739ms] or [-0.031%; +0.031%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
write only interface execution_time 5.359µs 5.461µs ± 0.045µs 5.467µs ± 0.037µs 5.497µs 5.527µs 5.543µs 5.573µs 1.94% -0.151 -0.863 0.82% 0.003µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [5.455µs; 5.467µs] or [-0.115%; +0.115%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample_timestamped_x1000 execution_time 4.178ms 4.183ms ± 0.007ms 4.182ms ± 0.001ms 4.183ms 4.186ms 4.190ms 4.274ms 2.19% 11.689 151.104 0.16% 0.000ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_timestamped_x1000 execution_time [4.182ms; 4.184ms] or [-0.023%; +0.023%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_trace/test_trace execution_time 237.939ns 250.403ns ± 15.566ns 242.912ns ± 2.937ns 252.662ns 285.593ns 295.888ns 300.397ns 23.67% 1.594 1.303 6.20% 1.101ns 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_trace/test_trace execution_time [248.245ns; 252.560ns] or [-0.862%; +0.862%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample2_frames_x1000 execution_time 730.377µs 731.676µs ± 0.563µs 731.633µs ± 0.328µs 731.978µs 732.573µs 733.213µs 734.455µs 0.39% 0.994 2.846 0.08% 0.040µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample2_frames_x1000 execution_time [731.598µs; 731.754µs] or [-0.011%; +0.011%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... execution_time 495.272µs 496.268µs ± 0.624µs 496.225µs ± 0.274µs 496.499µs 496.928µs 497.517µs 501.671µs 1.10% 4.482 33.902 0.13% 0.044µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1993337.160op/s 2015043.274op/s ± 2517.778op/s 2015213.744op/s ± 1112.293op/s 2016319.643op/s 2017810.394op/s 2018477.278op/s 2019091.633op/s 0.19% -4.422 33.269 0.12% 178.034op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 370.364µs 371.239µs ± 0.325µs 371.233µs ± 0.234µs 371.464µs 371.775µs 371.919µs 372.133µs 0.24% 0.054 -0.360 0.09% 0.023µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2687213.490op/s 2693684.385op/s ± 2355.812op/s 2693722.888op/s ± 1696.238op/s 2695487.838op/s 2697428.754op/s 2698718.902op/s 2700048.977op/s 0.23% -0.050 -0.360 0.09% 166.581op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 167.951µs 168.413µs ± 0.212µs 168.418µs ± 0.148µs 168.557µs 168.774µs 168.860µs 168.947µs 0.31% 0.004 -0.510 0.13% 0.015µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5919016.023op/s 5937799.309op/s ± 7481.066op/s 5937621.967op/s ± 5226.301op/s 5943200.830op/s 5950193.047op/s 5953466.422op/s 5954133.235op/s 0.28% 0.002 -0.511 0.13% 528.991op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 38.389µs 38.486µs ± 0.039µs 38.485µs ± 0.027µs 38.511µs 38.553µs 38.579µs 38.596µs 0.29% 0.240 -0.154 0.10% 0.003µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 25909513.677op/s 25983583.363op/s ± 26107.640op/s 25984468.965op/s ± 18240.956op/s 26002839.245op/s 26021617.320op/s 26040413.464op/s 26049418.886op/s 0.25% -0.235 -0.158 0.10% 1846.089op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.201µs 46.353µs ± 0.114µs 46.343µs ± 0.043µs 46.381µs 46.469µs 46.611µs 47.538µs 2.58% 6.176 58.353 0.25% 0.008µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21035671.127op/s 21573492.125op/s ± 52362.863op/s 21578179.869op/s ± 19907.716op/s 21598691.487op/s 21622513.878op/s 21638370.506op/s 21644573.084op/s 0.31% -6.015 56.089 0.24% 3702.614op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... execution_time [496.182µs; 496.354µs] or [-0.017%; +0.017%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2014694.334op/s; 2015392.214op/s] or [-0.017%; +0.017%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [371.194µs; 371.284µs] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2693357.892op/s; 2694010.877op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [168.383µs; 168.442µs] or [-0.017%; +0.017%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5936762.505op/s; 5938836.113op/s] or [-0.017%; +0.017%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [38.481µs; 38.491µs] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [25979965.095op/s; 25987201.631op/s] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.338µs; 46.369µs] or [-0.034%; +0.034%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21566235.136op/s; 21580749.115op/s] or [-0.034%; +0.034%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
sdk_test_data/rules-based execution_time 144.549µs 146.370µs ± 1.623µs 146.111µs ± 0.484µs 146.595µs 148.183µs 150.921µs 162.254µs 11.05% 6.030 50.443 1.11% 0.115µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sdk_test_data/rules-based execution_time [146.145µs; 146.595µs] or [-0.154%; +0.154%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
ip_address/quantize_peer_ip_address_benchmark execution_time 4.971µs 5.055µs ± 0.042µs 5.052µs ± 0.028µs 5.075µs 5.123µs 5.126µs 5.129µs 1.52% 0.110 -0.962 0.83% 0.003µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark execution_time [5.049µs; 5.061µs] or [-0.115%; +0.115%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
redis/obfuscate_redis_string execution_time 34.305µs 34.923µs ± 0.945µs 34.499µs ± 0.071µs 34.606µs 36.961µs 36.992µs 37.789µs 9.53% 1.704 1.000 2.70% 0.067µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.792µs; 35.054µs] or [-0.375%; +0.375%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
tags/replace_trace_tags execution_time 2.363µs 2.415µs ± 0.017µs 2.413µs ± 0.009µs 2.421µs 2.450µs 2.457µs 2.474µs 2.53% 0.521 0.973 0.71% 0.001µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
tags/replace_trace_tags execution_time [2.413µs; 2.417µs] or [-0.099%; +0.099%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
credit_card/is_card_number/ execution_time 3.894µs 3.913µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.920µs 3.921µs 3.923µs 0.26% -0.035 4.949 0.08% 0.000µs 1 200
credit_card/is_card_number/ throughput 254935459.737op/s 255568140.763op/s ± 214130.358op/s 255591258.830op/s ± 101800.659op/s 255692848.466op/s 255830915.544op/s 255886300.760op/s 256777143.459op/s 0.46% 0.052 5.025 0.08% 15141.303op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 74.644µs 75.902µs ± 0.671µs 75.792µs ± 0.494µs 76.342µs 77.039µs 77.606µs 78.129µs 3.08% 0.406 -0.046 0.88% 0.047µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12799375.467op/s 13175985.673op/s ± 116170.094op/s 13193961.458op/s ± 86484.782op/s 13264292.865op/s 13377564.794op/s 13391159.861op/s 13396845.798op/s 1.54% -0.359 -0.111 0.88% 8214.466op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 68.514µs 68.697µs ± 0.080µs 68.694µs ± 0.051µs 68.746µs 68.803µs 68.851µs 69.255µs 0.82% 1.689 10.698 0.12% 0.006µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 14439296.407op/s 14556610.593op/s ± 16860.422op/s 14557357.141op/s ± 10864.955op/s 14567950.145op/s 14579071.460op/s 14590427.192op/s 14595472.484op/s 0.26% -1.655 10.423 0.12% 1192.212op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.892µs 3.912µs ± 0.003µs 3.912µs ± 0.001µs 3.913µs 3.915µs 3.917µs 3.919µs 0.17% -2.341 19.117 0.06% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 255192243.992op/s 255633723.307op/s ± 164343.737op/s 255620361.557op/s ± 90263.220op/s 255714428.708op/s 255861238.636op/s 255904809.837op/s 256952411.750op/s 0.52% 2.372 19.400 0.06% 11620.857op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 64.592µs 64.722µs ± 0.118µs 64.692µs ± 0.034µs 64.730µs 64.905µs 65.192µs 65.675µs 1.52% 4.149 24.601 0.18% 0.008µs 1 200
credit_card/is_card_number/378282246310005 throughput 15226521.024op/s 15450705.550op/s ± 28002.986op/s 15457924.303op/s ± 8022.440op/s 15465480.275op/s 15471521.803op/s 15475530.313op/s 15481878.461op/s 0.15% -4.099 24.026 0.18% 1980.110op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.500µs 45.741µs ± 0.091µs 45.742µs ± 0.064µs 45.810µs 45.887µs 45.931µs 45.974µs 0.51% -0.043 -0.395 0.20% 0.006µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21751206.522op/s 21862219.396op/s ± 43565.138op/s 21861528.083op/s ± 30829.416op/s 21890661.453op/s 21933662.477op/s 21958492.419op/s 21978207.253op/s 0.53% 0.052 -0.393 0.20% 3080.520op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.429µs 6.437µs ± 0.004µs 6.437µs ± 0.003µs 6.440µs 6.443µs 6.446µs 6.450µs 0.21% 0.330 -0.193 0.06% 0.000µs 1 200
credit_card/is_card_number/x371413321323331 throughput 155042472.059op/s 155352754.503op/s ± 96103.591op/s 155360678.225op/s ± 71711.589op/s 155428346.245op/s 155493172.292op/s 155540733.413op/s 155550043.572op/s 0.12% -0.327 -0.198 0.06% 6795.550op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.895µs 3.912µs ± 0.002µs 3.912µs ± 0.001µs 3.913µs 3.916µs 3.918µs 3.919µs 0.16% -1.506 13.699 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 255196075.651op/s 255612239.457op/s ± 156875.022op/s 255614736.190op/s ± 84140.030op/s 255702575.090op/s 255803871.849op/s 255836281.090op/s 256771184.728op/s 0.45% 1.531 13.896 0.06% 11092.739op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 61.438µs 63.557µs ± 0.737µs 63.634µs ± 0.496µs 64.117µs 64.619µs 64.882µs 65.076µs 2.27% -0.529 0.030 1.16% 0.052µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15366600.098op/s 15735910.996op/s ± 183686.424op/s 15714916.608op/s ± 122506.941op/s 15839313.593op/s 16077020.770op/s 16245892.583op/s 16276639.001op/s 3.57% 0.591 0.126 1.16% 12988.592op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.906µs 54.284µs ± 0.131µs 54.310µs ± 0.060µs 54.364µs 54.449µs 54.487µs 54.633µs 0.59% -0.967 0.826 0.24% 0.009µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18303959.107op/s 18421600.602op/s ± 44712.229op/s 18412746.597op/s ± 20396.104op/s 18436179.946op/s 18518937.470op/s 18542191.688op/s 18550693.480op/s 0.75% 0.980 0.843 0.24% 3161.632op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.895µs 3.913µs ± 0.003µs 3.913µs ± 0.001µs 3.914µs 3.917µs 3.919µs 3.927µs 0.38% -0.310 12.342 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254618916.701op/s 255566009.220op/s ± 174070.992op/s 255582067.415op/s ± 89968.211op/s 255657753.618op/s 255777363.694op/s 255817594.830op/s 256715986.614op/s 0.44% 0.340 12.428 0.07% 12308.678op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.179µs 50.555µs ± 0.199µs 50.569µs ± 0.107µs 50.664µs 50.778µs 51.186µs 51.307µs 1.46% 0.500 1.553 0.39% 0.014µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19490678.216op/s 19780578.904op/s ± 77536.330op/s 19774947.198op/s ± 42024.649op/s 19829780.277op/s 19914746.472op/s 19925142.243op/s 19928651.422op/s 0.78% -0.461 1.457 0.39% 5482.646op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.490µs 45.725µs ± 0.092µs 45.725µs ± 0.063µs 45.787µs 45.879µs 45.920µs 45.979µs 0.55% 0.091 -0.349 0.20% 0.006µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21749206.228op/s 21870129.117op/s ± 43768.718op/s 21869884.086op/s ± 29943.922op/s 21900674.549op/s 21940737.807op/s 21957410.872op/s 21982751.871op/s 0.52% -0.081 -0.352 0.20% 3094.916op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.427µs 6.436µs ± 0.004µs 6.435µs ± 0.002µs 6.438µs 6.441µs 6.444µs 6.450µs 0.23% 0.420 0.953 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 155031737.610op/s 155386502.231op/s ± 86889.672op/s 155388547.866op/s ± 53154.745op/s 155442315.286op/s 155520576.662op/s 155554690.745op/s 155597250.635op/s 0.13% -0.415 0.941 0.06% 6144.028op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
credit_card/is_card_number/ execution_time [3.912µs; 3.913µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/ throughput [255538464.355op/s; 255597817.171op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [75.808µs; 75.995µs] or [-0.123%; +0.123%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [13159885.615op/s; 13192085.731op/s] or [-0.122%; +0.122%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [68.686µs; 68.708µs] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14554273.901op/s; 14558947.285op/s] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/37828224631 execution_time [3.912µs; 3.912µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/37828224631 throughput [255610946.846op/s; 255656499.769op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/378282246310005 execution_time [64.706µs; 64.739µs] or [-0.025%; +0.025%] None None None
credit_card/is_card_number/378282246310005 throughput [15446824.606op/s; 15454586.495op/s] or [-0.025%; +0.025%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.729µs; 45.754µs] or [-0.028%; +0.028%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21856181.687op/s; 21868257.105op/s] or [-0.028%; +0.028%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.436µs; 6.438µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/x371413321323331 throughput [155339435.470op/s; 155366073.537op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.912µs; 3.913µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/ throughput [255590498.087op/s; 255633980.826op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [63.455µs; 63.660µs] or [-0.161%; +0.161%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15710453.825op/s; 15761368.168op/s] or [-0.162%; +0.162%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [54.266µs; 54.303µs] or [-0.034%; +0.034%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18415403.917op/s; 18427797.287op/s] or [-0.034%; +0.034%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.913µs; 3.913µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255541884.654op/s; 255590133.785op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.528µs; 50.583µs] or [-0.054%; +0.054%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19769833.114op/s; 19791324.694op/s] or [-0.054%; +0.054%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.712µs; 45.737µs] or [-0.028%; +0.028%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21864063.194op/s; 21876195.041op/s] or [-0.028%; +0.028%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.435µs; 6.436µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [155374460.158op/s; 155398544.304op/s] or [-0.008%; +0.008%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... execution_time 185.339µs 185.837µs ± 0.261µs 185.816µs ± 0.210µs 186.044µs 186.281µs 186.377µs 186.480µs 0.36% 0.278 -0.853 0.14% 0.018µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5362516.865op/s 5381072.469op/s ± 7549.925op/s 5381681.282op/s ± 6077.414op/s 5387580.341op/s 5392073.540op/s 5394066.431op/s 5395530.127op/s 0.26% -0.274 -0.857 0.14% 533.860op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.896µs 18.001µs ± 0.058µs 17.990µs ± 0.024µs 18.023µs 18.077µs 18.123µs 18.569µs 3.22% 4.801 44.260 0.32% 0.004µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 53852952.477op/s 55552121.872op/s ± 176397.987op/s 55585034.882op/s ± 74358.466op/s 55636594.856op/s 55759581.750op/s 55859929.591op/s 55879615.586op/s 0.53% -4.582 41.484 0.32% 12473.221op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.094µs 10.193µs ± 0.030µs 10.192µs ± 0.019µs 10.212µs 10.242µs 10.268µs 10.285µs 0.92% -0.003 0.790 0.29% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 97226396.083op/s 98105674.777op/s ± 288329.344op/s 98117810.534op/s ± 183732.429op/s 98284415.740op/s 98532224.592op/s 98859285.256op/s 99065928.375op/s 0.97% 0.028 0.796 0.29% 20387.963op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... execution_time [185.801µs; 185.873µs] or [-0.019%; +0.019%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5380026.122op/s; 5382118.816op/s] or [-0.019%; +0.019%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.993µs; 18.009µs] or [-0.045%; +0.045%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55527674.808op/s; 55576568.937op/s] or [-0.044%; +0.044%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.189µs; 10.197µs] or [-0.041%; +0.041%] None None None
normalization/normalize_name/normalize_name/good throughput [98065715.103op/s; 98145634.451op/s] or [-0.041%; +0.041%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
concentrator/add_spans_to_concentrator execution_time 12.963ms 12.992ms ± 0.017ms 12.989ms ± 0.010ms 13.001ms 13.026ms 13.043ms 13.055ms 0.51% 1.114 1.441 0.13% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
concentrator/add_spans_to_concentrator execution_time [12.990ms; 12.995ms] or [-0.018%; +0.018%] None None None

Group 20

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz f1dcf15 1774292392 ayan.khan/stable-session-identifier-headers
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching string interning on wordpress profile execution_time 160.543µs 161.232µs ± 0.381µs 161.184µs ± 0.133µs 161.325µs 161.716µs 161.986µs 165.161µs 2.47% 5.630 54.602 0.24% 0.027µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching string interning on wordpress profile execution_time [161.179µs; 161.285µs] or [-0.033%; +0.033%] None None None

Baseline

Omitted due to size.

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datadog-official bot commented Mar 23, 2026 •
edited by datadog-datadog-prod-us1-2 bot
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✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 78.57%
• Overall Coverage: 70.40% (+0.06%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: f1dcf15 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!

khanayan123 added a commit to DataDog/dd-trace-rs that referenced this pull request Mar 23, 2026
@khanayan123 @claude
chore: use git dep for libdatadog pending DataDog/libdatadog#1782
c45079b 
Point all libdatadog workspace deps at the stable-session-identifier-headers
branch so CI can compile builder.root_session_id. Revert to crates.io versions
once the libdatadog PR is merged and published.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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codecov-commenter commented Mar 23, 2026

Codecov Report

❌ Patch coverage is 78.57143% with 3 lines in your changes missing coverage. Please review.
✅ Project coverage is 70.40%. Comparing base (5ff99ff) to head (f1dcf15).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1782      +/-   ##
==========================================
+ Coverage   70.34%   70.40%   +0.05%     
==========================================
  Files         410      410              
  Lines       62138    62151      +13     
==========================================
+ Hits        43710    43756      +46     
+ Misses      18428    18395      -33
Components Coverage Δ
libdd-crashtracker 64.83% <ø> (+0.01%) ⬆️
libdd-crashtracker-ffi 34.09% <ø> (ø)
libdd-alloc 98.94% <ø> (+0.17%) ⬆️
libdd-data-pipeline 87.96% <ø> (ø)
libdd-data-pipeline-ffi 75.43% <ø> (ø)
libdd-common 79.78% <ø> (ø)
libdd-common-ffi 73.87% <ø> (ø)
libdd-telemetry 62.51% <78.57%> (+0.02%) ⬆️
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 72.56% <ø> (+2.24%) ⬆️
libdd-profiling 81.61% <ø> (ø)
libdd-profiling-ffi 64.94% <ø> (ø)
datadog-sidecar 30.67% <ø> (ø)
datdog-sidecar-ffi 8.84% <ø> (ø)
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 92.26% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 89.08% <ø> (+0.13%) ⬆️
datadog-tracer-flare 86.88% <ø> (ø)
libdd-log 74.69% <ø> (ø)
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  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
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dd-octo-sts bot commented Mar 23, 2026 •
edited
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 101.43 MB 101.43 MB +0% (+4.17 KB) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.70 MB 8.70 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.29 MB 11.29 MB +0% (+96 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 118.20 MB 118.21 MB +0% (+11.12 KB) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.24 MB 27.24 MB +0% (+1.50 KB) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 80.34 KB 80.34 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 186.41 MB 186.43 MB +0% (+16.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 922.07 MB 922.08 MB +0% (+10.83 KB) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 8.99 MB 9.00 MB +.02% (+2.50 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 80.34 KB 80.34 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 26.83 MB 26.83 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 61.00 MB 61.00 MB +0% (+5.12 KB) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 23.07 MB 23.07 MB +0% (+2.00 KB) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 81.59 KB 81.59 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 190.57 MB 190.56 MB -0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 905.12 MB 905.13 MB +0% (+11.24 KB) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 6.86 MB 6.86 MB +.01% (+1.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 81.59 KB 81.59 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 28.94 MB 28.94 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 57.38 MB 57.39 MB +0% (+4.49 KB) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 88.28 MB 88.29 MB +0% (+6.10 KB) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.28 MB 10.28 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 110.95 MB 110.96 MB +.01% (+12.92 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 12.02 MB 12.02 MB 0% (0 B) 👌

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