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feat(profiling)!: Add BufWriter for batching calls to ZSTD_compressStream in compressor#1789

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gh-worker-dd-mergequeue-cf854d[bot] merged 2 commits intomainfrom
florian/bufwriter-compressor
Mar 25, 2026
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feat(profiling)!: Add BufWriter for batching calls to ZSTD_compressStream in compressor#1789
gh-worker-dd-mergequeue-cf854d[bot] merged 2 commits intomainfrom
florian/bufwriter-compressor

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@realFlowControl
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What does this PR do?

This PR adds a benchmark for final profile serialization and wraps the profile compressor with a BufWriter sized to zstd's recommended input buffer size.

Motivation

PR #1696 applied the same idea to the in-memory timestamped observations compressor and improved the add_sample path. @ivoanjo reached out and asked me if the profile serializer could benefit from this as well.

The profile serializer has a similar write pattern: the protobuf encoder emits many small writes, including byte-at-a-time variant encoding, directly into the zstd encoder. I wanted to verify whether the same buffering approach would help there as well.

With the added benchmark, serialization of a profile with 1000 timestamped samples improved from about 640 µs to about 307 µs, which is roughly a 52.5% improvement on my machine.

Additional Notes

The PR is split into two commits:

  1. Add a benchmark for compressed profile serialization
  2. Add BufWriter to the profile compressor

How to test the change?

$ git checkout HEAD~1
$ cargo bench -p libdd-profiling -- profile_serialize_compressed_pprof_timestamped_x1000
[...]
$ git checkout florian/bufwriter-compressor
$ cargo bench -p libdd-profiling -- profile_serialize_compressed_pprof_timestamped_x1000
[...]
profile_serialize_compressed_pprof_timestamped_x1000
                        time:   [307.11 µs 308.48 µs 309.92 µs]
                        change: [-50.573% -50.374% -50.162%] (p = 0.00 < 0.05)
                        Performance has improved.

realFlowControl and others added 2 commits March 25, 2026 11:47
Co-Authored-By: GPT 5.4 <codex@openai.com>
Co-Authored-By: GPT 5.4 <codex@openai.com>
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📚 Documentation Check Results

⚠️ 647 documentation warning(s) found

📦 libdd-profiling - 647 warning(s)


Updated: 2026-03-25 10:58:21 UTC | Commit: 7c6e5bf | missing-docs job results

@realFlowControl realFlowControl changed the title Florian/bufwriter compressor feat(profiling)!: Add BufWriter for batching calls to ZSTD_compressStream in profile serialization Mar 25, 2026
@realFlowControl realFlowControl changed the title feat(profiling)!: Add BufWriter for batching calls to ZSTD_compressStream in profile serialization feat(profiling)!: Add BufWriter for batching calls to ZSTD_compressStream in compressor Mar 25, 2026
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Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

  • Base Branch: origin/main
  • PR Branch: origin/florian/bufwriter-compressor

Summary by Rule

Rule Base Branch PR Branch Change

Annotation Counts by File

File Base Branch PR Branch Change

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-profiling - 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:13:1
   │
13 │ 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 v3.0.1
         │   │   │   └── libdd-profiling v1.0.0
         │   │   │       └── (dev) libdd-profiling v1.0.0 (*)
         │   │   └── reqwest v0.13.2
         │   │       ├── libdd-common v3.0.1 (*)
         │   │       └── libdd-profiling v1.0.0 (*)
         │   ├── libdd-common v3.0.1 (*)
         │   ├── libdd-profiling v1.0.0 (*)
         │   ├── reqwest v0.13.2 (*)
         │   ├── rustls-platform-verifier v0.6.2
         │   │   ├── libdd-profiling v1.0.0 (*)
         │   │   └── reqwest v0.13.2 (*)
         │   └── tokio-rustls v0.26.0
         │       ├── hyper-rustls v0.27.7 (*)
         │       ├── libdd-common v3.0.1 (*)
         │       └── reqwest v0.13.2 (*)
         └── rustls-webpki v0.103.9
             ├── rustls v0.23.37 (*)
             └── rustls-platform-verifier v0.6.2 (*)

error[vulnerability]: CRL Distribution Point Scope Check Logic Error in AWS-LC
   ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:13:1
   │
13 │ 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 v3.0.1
         │   │   │   └── libdd-profiling v1.0.0
         │   │   │       └── (dev) libdd-profiling v1.0.0 (*)
         │   │   └── reqwest v0.13.2
         │   │       ├── libdd-common v3.0.1 (*)
         │   │       └── libdd-profiling v1.0.0 (*)
         │   ├── libdd-common v3.0.1 (*)
         │   ├── libdd-profiling v1.0.0 (*)
         │   ├── reqwest v0.13.2 (*)
         │   ├── rustls-platform-verifier v0.6.2
         │   │   ├── libdd-profiling v1.0.0 (*)
         │   │   └── reqwest v0.13.2 (*)
         │   └── tokio-rustls v0.26.0
         │       ├── hyper-rustls v0.27.7 (*)
         │       ├── libdd-common v3.0.1 (*)
         │       └── reqwest v0.13.2 (*)
         └── rustls-webpki v0.103.9
             ├── rustls v0.23.37 (*)
             └── rustls-platform-verifier v0.6.2 (*)

error[vulnerability]: CRLs not considered authoritative by Distribution Point due to faulty matching logic
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:193:1
    │
193 │ 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 v3.0.1
      │   │   │   └── libdd-profiling v1.0.0
      │   │   │       └── (dev) libdd-profiling v1.0.0 (*)
      │   │   └── reqwest v0.13.2
      │   │       ├── libdd-common v3.0.1 (*)
      │   │       └── libdd-profiling v1.0.0 (*)
      │   ├── libdd-common v3.0.1 (*)
      │   ├── libdd-profiling v1.0.0 (*)
      │   ├── reqwest v0.13.2 (*)
      │   ├── rustls-platform-verifier v0.6.2
      │   │   ├── libdd-profiling v1.0.0 (*)
      │   │   └── reqwest v0.13.2 (*)
      │   └── tokio-rustls v0.26.0
      │       ├── hyper-rustls v0.27.7 (*)
      │       ├── libdd-common v3.0.1 (*)
      │       └── reqwest v0.13.2 (*)
      └── rustls-platform-verifier v0.6.2 (*)

advisories FAILED, bans ok, sources ok

Updated: 2026-03-25 11:01:17 UTC | Commit: 7c6e5bf | dependency-check job results

@ivoanjo
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ivoanjo commented Mar 25, 2026

Booyah really cool thanks for looking into this!

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pr-commenter bot commented Mar 25, 2026

Benchmarks

Comparison

Benchmark execution time: 2026-03-25 11:06:34

Comparing candidate commit 8683969 in PR branch florian/bufwriter-compressor with baseline commit c664ed7 in branch main.

Found 2 performance improvements and 2 performance regressions! Performance is the same for 57 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 ----------------------------------'

scenario:normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...

  • 🟩 execution_time [-9.467µs; -8.485µs] or [-4.852%; -4.348%]
  • 🟩 throughput [+232015.319op/s; +258755.120op/s] or [+4.526%; +5.047%]

scenario:receiver_entry_point/report/2598

  • 🟥 execution_time [+198.988µs; +207.149µs] or [+5.775%; +6.012%]

scenario:two way interface

  • 🟥 execution_time [+1.647µs; +1.800µs] or [+11.806%; +12.904%]

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 8683969 1774435693 florian/bufwriter-compressor
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 34.299µs 34.859µs ± 0.885µs 34.459µs ± 0.092µs 34.594µs 36.738µs 36.779µs 37.994µs 10.26% 1.715 1.175 2.53% 0.063µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.737µs; 34.982µs] or [-0.352%; +0.352%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 2.317µs 2.368µs ± 0.014µs 2.367µs ± 0.004µs 2.372µs 2.403µs 2.411µs 2.412µs 1.92% 0.411 3.002 0.59% 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 [2.366µs; 2.370µs] or [-0.083%; +0.083%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 495.622µs 496.555µs ± 0.821µs 496.359µs ± 0.232µs 496.630µs 497.909µs 499.664µs 503.585µs 1.46% 4.323 28.379 0.16% 0.058µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1985762.962op/s 2013881.740op/s ± 3304.661op/s 2014671.510op/s ± 942.014op/s 2015501.559op/s 2016454.301op/s 2017129.143op/s 2017668.725op/s 0.15% -4.266 27.678 0.16% 233.675op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 371.216µs 371.861µs ± 0.255µs 371.846µs ± 0.184µs 372.040µs 372.271µs 372.489µs 372.556µs 0.19% 0.161 -0.413 0.07% 0.018µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2684160.547op/s 2689175.129op/s ± 1844.220op/s 2689286.764op/s ± 1334.005op/s 2690566.698op/s 2692048.864op/s 2692653.798op/s 2693849.719op/s 0.17% -0.158 -0.415 0.07% 130.406op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 167.995µs 168.364µs ± 0.139µs 168.361µs ± 0.104µs 168.459µs 168.597µs 168.669µs 168.699µs 0.20% 0.096 -0.392 0.08% 0.010µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5927728.854op/s 5939504.530op/s ± 4919.801op/s 5939626.870op/s ± 3663.901op/s 5943324.869op/s 5947530.842op/s 5949534.170op/s 5952552.344op/s 0.22% -0.093 -0.392 0.08% 347.882op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.855µs 37.039µs ± 0.112µs 37.049µs ± 0.094µs 37.129µs 37.211µs 37.269µs 37.283µs 0.63% 0.010 -1.139 0.30% 0.008µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26821970.695op/s 26998544.416op/s ± 81902.605op/s 26991615.548op/s ± 68232.043op/s 27082001.869op/s 27117710.732op/s 27127407.435op/s 27133228.212op/s 0.52% -0.003 -1.144 0.30% 5791.389op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.294µs 46.434µs ± 0.111µs 46.425µs ± 0.034µs 46.463µs 46.525µs 46.546µs 47.807µs 2.98% 9.618 117.254 0.24% 0.008µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 20917458.315op/s 21535926.306op/s ± 50132.297op/s 21540319.529op/s ± 15905.813op/s 21553731.901op/s 21579724.841op/s 21593484.211op/s 21601071.413op/s 0.28% -9.428 114.145 0.23% 3544.889op/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 [496.441µs; 496.669µs] or [-0.023%; +0.023%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2013423.745op/s; 2014339.734op/s] or [-0.023%; +0.023%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [371.826µs; 371.897µs] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2688919.538op/s; 2689430.720op/s] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [168.345µs; 168.384µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5938822.693op/s; 5940186.367op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.024µs; 37.055µs] or [-0.042%; +0.042%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26987193.502op/s; 27009895.329op/s] or [-0.042%; +0.042%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.419µs; 46.450µs] or [-0.033%; +0.033%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21528978.452op/s; 21542874.160op/s] or [-0.032%; +0.032%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 4.127ms 4.135ms ± 0.005ms 4.135ms ± 0.001ms 4.136ms 4.138ms 4.166ms 4.167ms 0.78% 4.266 20.861 0.13% 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 [4.134ms; 4.136ms] or [-0.018%; +0.018%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 144.555µs 146.892µs ± 1.634µs 146.611µs ± 0.440µs 147.075µs 148.374µs 152.426µs 163.092µs 11.24% 6.025 50.794 1.11% 0.116µs 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 [146.665µs; 147.118µs] or [-0.154%; +0.154%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 13.955ms 14.007ms ± 0.031ms 14.002ms ± 0.012ms 14.015ms 14.044ms 14.138ms 14.186ms 1.31% 2.836 11.696 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 [14.003ms; 14.011ms] or [-0.031%; +0.031%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 4.969µs 5.041µs ± 0.047µs 5.042µs ± 0.042µs 5.077µs 5.119µs 5.122µs 5.125µs 1.64% 0.209 -1.249 0.92% 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 [5.035µs; 5.048µs] or [-0.128%; +0.128%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 738.092µs 739.261µs ± 0.675µs 739.173µs ± 0.294µs 739.487µs 740.032µs 742.164µs 743.046µs 0.52% 2.380 9.248 0.09% 0.048µs 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 [739.167µs; 739.354µs] or [-0.013%; +0.013%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 14.072µs 15.670µs ± 0.550µs 15.703µs ± 0.217µs 15.917µs 16.381µs 16.892µs 16.959µs 8.00% -1.082 2.887 3.50% 0.039µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [15.593µs; 15.746µs] or [-0.486%; +0.486%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 5.508µs 5.556µs ± 0.023µs 5.552µs ± 0.010µs 5.564µs 5.593µs 5.638µs 5.685µs 2.38% 1.855 6.459 0.41% 0.002µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [5.553µs; 5.559µs] or [-0.057%; +0.057%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 244.931ns 255.400ns ± 12.978ns 249.433ns ± 2.869ns 258.135ns 286.659ns 298.016ns 299.145ns 19.93% 1.956 3.083 5.07% 0.918ns 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 [253.602ns; 257.199ns] or [-0.704%; +0.704%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 13.012ms 13.045ms ± 0.014ms 13.044ms ± 0.009ms 13.053ms 13.069ms 13.081ms 13.086ms 0.32% 0.386 0.073 0.11% 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 [13.043ms; 13.047ms] or [-0.015%; +0.015%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 286.081µs 286.631µs ± 0.746µs 286.542µs ± 0.174µs 286.698µs 287.058µs 288.443µs 295.860µs 3.25% 9.873 116.578 0.26% 0.053µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [286.528µs; 286.735µs] or [-0.036%; +0.036%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 3.607ms 3.649ms ± 0.020ms 3.644ms ± 0.013ms 3.664ms 3.684ms 3.698ms 3.717ms 2.02% 0.546 -0.043 0.55% 0.001ms 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 [3.646ms; 3.652ms] or [-0.076%; +0.076%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 190.150ns 192.182ns ± 1.990ns 192.027ns ± 1.444ns 193.021ns 196.200ns 198.430ns 201.178ns 4.77% 1.395 2.271 1.03% 0.141ns 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 [191.906ns; 192.458ns] or [-0.144%; +0.144%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 4.208ms 4.216ms ± 0.009ms 4.215ms ± 0.002ms 4.217ms 4.220ms 4.225ms 4.334ms 2.82% 11.548 148.869 0.21% 0.001ms 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 [4.214ms; 4.217ms] or [-0.030%; +0.030%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 161.374µs 162.260µs ± 0.657µs 161.993µs ± 0.381µs 162.897µs 163.393µs 163.829µs 164.497µs 1.55% 0.751 -0.460 0.40% 0.046µs 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 [162.169µs; 162.351µs] or [-0.056%; +0.056%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 49.955ms 50.283ms ± 1.245ms 50.101ms ± 0.052ms 50.170ms 50.449ms 57.625ms 61.746ms 23.24% 8.114 66.355 2.47% 0.088ms 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 [50.111ms; 50.456ms] or [-0.343%; +0.343%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_serialize_compressed_pprof_timestamped_x1000 execution_time 912.177µs 913.902µs ± 1.103µs 913.647µs ± 0.664µs 914.482µs 916.259µs 916.858µs 917.334µs 0.40% 0.949 0.483 0.12% 0.078µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_serialize_compressed_pprof_timestamped_x1000 execution_time [913.749µs; 914.054µs] or [-0.017%; +0.017%] None None None

Group 20

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 3.916µs ± 0.006µs 3.916µs ± 0.002µs 3.918µs 3.921µs 3.924µs 3.968µs 1.33% 5.447 48.579 0.14% 0.000µs 1 200
credit_card/is_card_number/ throughput 252022890.583op/s 255349653.005op/s ± 361598.739op/s 255369238.182op/s ± 114525.981op/s 255497841.046op/s 255660323.328op/s 255787501.067op/s 256838152.458op/s 0.58% -5.358 47.765 0.14% 25568.892op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.430µs 80.217µs ± 0.181µs 80.240µs ± 0.076µs 80.305µs 80.376µs 80.436µs 81.625µs 1.73% 1.111 20.484 0.22% 0.013µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12251106.520op/s 12466308.450op/s ± 28036.036op/s 12462661.244op/s ± 11847.859op/s 12476455.061op/s 12501410.097op/s 12558713.456op/s 12589659.780op/s 1.02% -0.970 19.609 0.22% 1982.447op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 67.803µs 67.952µs ± 0.079µs 67.946µs ± 0.039µs 67.983µs 68.051µs 68.205µs 68.587µs 0.94% 3.250 21.461 0.12% 0.006µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 14579923.347op/s 14716252.910op/s ± 16972.627op/s 14717574.226op/s ± 8371.203op/s 14726067.413op/s 14736249.144op/s 14740291.373op/s 14748527.639op/s 0.21% -3.206 21.006 0.12% 1200.146op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.897µs 3.913µs ± 0.002µs 3.913µs ± 0.001µs 3.915µs 3.917µs 3.918µs 3.919µs 0.14% -1.721 14.113 0.06% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 255194634.101op/s 255530400.314op/s ± 143273.021op/s 255542138.899op/s ± 78516.918op/s 255607898.485op/s 255699041.319op/s 255777083.204op/s 256599528.982op/s 0.41% 1.743 14.298 0.06% 10130.933op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 64.849µs 64.940µs ± 0.053µs 64.929µs ± 0.024µs 64.960µs 65.015µs 65.186µs 65.258µs 0.51% 2.809 13.023 0.08% 0.004µs 1 200
credit_card/is_card_number/378282246310005 throughput 15323835.653op/s 15398821.153op/s ± 12434.791op/s 15401321.423op/s ± 5605.332op/s 15405848.313op/s 15411816.208op/s 15415106.240op/s 15420493.478op/s 0.12% -2.792 12.895 0.08% 879.272op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.421µs 45.666µs ± 0.073µs 45.663µs ± 0.047µs 45.709µs 45.795µs 45.846µs 45.856µs 0.42% 0.217 0.189 0.16% 0.005µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21807241.432op/s 21898010.312op/s ± 34903.449op/s 21899555.516op/s ± 22561.778op/s 21922265.839op/s 21948955.956op/s 21966898.632op/s 22016404.423op/s 0.53% -0.207 0.193 0.16% 2468.047op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.828µs 6.838µs ± 0.012µs 6.837µs ± 0.002µs 6.839µs 6.844µs 6.852µs 6.954µs 1.72% 8.240 74.761 0.17% 0.001µs 1 200
credit_card/is_card_number/x371413321323331 throughput 143799287.255op/s 146248365.955op/s ± 252341.971op/s 146268559.573op/s ± 49298.524op/s 146319497.073op/s 146414069.010op/s 146441394.294op/s 146454949.336op/s 0.13% -8.193 74.175 0.17% 17843.272op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.892µs 3.914µs ± 0.003µs 3.914µs ± 0.001µs 3.915µs 3.918µs 3.920µs 3.921µs 0.19% -2.195 19.797 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 255038813.314op/s 255489875.581op/s ± 175261.045op/s 255511498.017op/s ± 86856.236op/s 255585276.041op/s 255685873.403op/s 255757955.539op/s 256907183.406op/s 0.55% 2.230 20.121 0.07% 12392.827op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 65.415µs 65.768µs ± 0.062µs 65.774µs ± 0.032µs 65.806µs 65.849µs 65.890µs 65.959µs 0.28% -1.566 7.490 0.09% 0.004µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15161029.456op/s 15204890.591op/s ± 14302.705op/s 15203572.860op/s ± 7382.966op/s 15210925.202op/s 15224451.780op/s 15248948.157op/s 15287016.737op/s 0.55% 1.586 7.590 0.09% 1011.354op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.353µs 53.421µs ± 0.031µs 53.415µs ± 0.018µs 53.438µs 53.482µs 53.512µs 53.540µs 0.23% 0.946 1.616 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18677765.233op/s 18719126.193op/s ± 10969.628op/s 18721236.018op/s ± 6170.767op/s 18726194.450op/s 18734603.682op/s 18740183.138op/s 18742920.310op/s 0.12% -0.941 1.603 0.06% 775.670op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.892µs 3.914µs ± 0.003µs 3.914µs ± 0.002µs 3.916µs 3.919µs 3.922µs 3.925µs 0.28% -1.254 13.229 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254784260.057op/s 255485909.469op/s ± 201543.733op/s 255498403.136op/s ± 101779.355op/s 255599178.871op/s 255733866.064op/s 255782665.723op/s 256946118.449op/s 0.57% 1.286 13.456 0.08% 14251.294op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.154µs 50.211µs ± 0.031µs 50.210µs ± 0.022µs 50.231µs 50.262µs 50.294µs 50.313µs 0.21% 0.460 0.082 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19875418.887op/s 19915782.821op/s ± 12356.137op/s 19916329.508op/s ± 8639.038op/s 19925001.795op/s 19933288.670op/s 19938554.082op/s 19938760.092op/s 0.11% -0.456 0.076 0.06% 873.711op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.435µs 45.644µs ± 0.077µs 45.638µs ± 0.046µs 45.700µs 45.771µs 45.811µs 45.823µs 0.41% -0.044 -0.308 0.17% 0.005µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21823054.311op/s 21908668.993op/s ± 36971.201op/s 21911571.472op/s ± 21900.333op/s 21931041.131op/s 21968343.946op/s 21997835.727op/s 22009272.507op/s 0.45% 0.053 -0.304 0.17% 2614.259op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.827µs 6.835µs ± 0.004µs 6.835µs ± 0.002µs 6.838µs 6.842µs 6.846µs 6.848µs 0.19% 0.521 0.268 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 146024204.086op/s 146302458.462op/s ± 81250.667op/s 146308602.946op/s ± 51441.262op/s 146357910.169op/s 146425187.678op/s 146447883.811op/s 146475536.283op/s 0.11% -0.518 0.262 0.06% 5745.290op/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 [3.915µs; 3.917µs] or [-0.020%; +0.020%] None None None
credit_card/is_card_number/ throughput [255299538.897op/s; 255399767.113op/s] or [-0.020%; +0.020%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [80.192µs; 80.242µs] or [-0.031%; +0.031%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12462422.925op/s; 12470193.975op/s] or [-0.031%; +0.031%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [67.941µs; 67.963µs] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14713900.667op/s; 14718605.153op/s] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/37828224631 execution_time [3.913µs; 3.914µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/37828224631 throughput [255510544.051op/s; 255550256.576op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/378282246310005 execution_time [64.933µs; 64.947µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 throughput [15397097.811op/s; 15400544.496op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.656µs; 45.676µs] or [-0.022%; +0.022%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21893173.030op/s; 21902847.594op/s] or [-0.022%; +0.022%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.836µs; 6.839µs] or [-0.024%; +0.024%] None None None
credit_card/is_card_number/x371413321323331 throughput [146213393.785op/s; 146283338.126op/s] or [-0.024%; +0.024%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.914µs; 3.914µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ throughput [255465586.086op/s; 255514165.077op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.760µs; 65.777µs] or [-0.013%; +0.013%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15202908.373op/s; 15206872.808op/s] or [-0.013%; +0.013%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.417µs; 53.426µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18717605.908op/s; 18720646.478op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.914µs; 3.915µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255457977.446op/s; 255513841.492op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.207µs; 50.216µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19914070.379op/s; 19917495.263op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.633µs; 45.655µs] or [-0.023%; +0.023%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21903545.140op/s; 21913792.846op/s] or [-0.023%; +0.023%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.835µs; 6.836µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [146291197.901op/s; 146313719.023op/s] or [-0.008%; +0.008%] None None None

Group 21

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8683969 1774435693 florian/bufwriter-compressor
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 185.709µs 186.156µs ± 0.329µs 186.075µs ± 0.142µs 186.268µs 186.650µs 187.744µs 188.316µs 1.20% 2.942 13.562 0.18% 0.023µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5310220.422op/s 5371850.641op/s ± 9450.628op/s 5374174.913op/s ± 4118.081op/s 5377355.050op/s 5381248.183op/s 5384011.106op/s 5384769.368op/s 0.20% -2.906 13.273 0.18% 668.260op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.810µs 17.879µs ± 0.030µs 17.879µs ± 0.015µs 17.897µs 17.921µs 17.953µs 17.968µs 0.50% -0.023 0.625 0.16% 0.002µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 55653169.448op/s 55931926.018op/s ± 92435.421op/s 55931303.203op/s ± 48290.418op/s 55975035.135op/s 56119377.143op/s 56130856.233op/s 56147330.595op/s 0.39% 0.036 0.615 0.16% 6536.171op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.575µs 10.629µs ± 0.022µs 10.626µs ± 0.015µs 10.648µs 10.664µs 10.676µs 10.708µs 0.77% 0.283 0.242 0.21% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 93385191.817op/s 94079218.983op/s ± 198760.453op/s 94107268.640op/s ± 134361.341op/s 94213764.560op/s 94369144.985op/s 94500409.448op/s 94565651.301op/s 0.49% -0.270 0.223 0.21% 14054.486op/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 [186.111µs; 186.202µs] or [-0.025%; +0.025%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5370540.875op/s; 5373160.407op/s] or [-0.024%; +0.024%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.875µs; 17.883µs] or [-0.023%; +0.023%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55919115.358op/s; 55944736.678op/s] or [-0.023%; +0.023%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.626µs; 10.633µs] or [-0.029%; +0.029%] None None None
normalization/normalize_name/normalize_name/good throughput [94051672.695op/s; 94106765.270op/s] or [-0.029%; +0.029%] None None None

Baseline

Omitted due to size.

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Codecov Report

❌ Patch coverage is 72.72727% with 3 lines in your changes missing coverage. Please review.
✅ Project coverage is 70.99%. Comparing base (c664ed7) to head (8683969).

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1789      +/-   ##
==========================================
- Coverage   71.01%   70.99%   -0.02%     
==========================================
  Files         411      411              
  Lines       64794    64803       +9     
==========================================
- Hits        46014    46008       -6     
- Misses      18780    18795      +15     
Components Coverage Δ
libdd-crashtracker 65.29% <ø> (+0.06%) ⬆️
libdd-crashtracker-ffi 34.98% <ø> (ø)
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.61% <ø> (ø)
libdd-data-pipeline-ffi 73.45% <ø> (ø)
libdd-common 79.78% <ø> (ø)
libdd-common-ffi 73.87% <ø> (ø)
libdd-telemetry 62.48% <ø> (ø)
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 70.31% <ø> (-2.25%) ⬇️
libdd-profiling 81.60% <72.72%> (-0.02%) ⬇️
libdd-profiling-ffi 64.94% <ø> (ø)
datadog-sidecar 31.63% <ø> (ø)
datdog-sidecar-ffi 13.34% <ø> (ø)
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 87.37% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 88.95% <ø> (ø)
datadog-tracer-flare 86.88% <ø> (ø)
libdd-log 74.69% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

@realFlowControl realFlowControl marked this pull request as ready for review March 25, 2026 11:11
@realFlowControl realFlowControl requested a review from a team as a code owner March 25, 2026 11:11
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✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
Patch Coverage: 72.73%
Overall Coverage: 71.00% (-0.02%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 8683969 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!

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dd-octo-sts bot commented Mar 25, 2026

Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 101.43 MB 101.44 MB +0% (+6.07 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% (+392 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 118.21 MB 118.22 MB +0% (+8.99 KB) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.26 MB 27.26 MB +0% (+2.00 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 186.51 MB 186.52 MB +0% (+16.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 921.90 MB 921.92 MB +0% (+20.80 KB) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 8.99 MB 8.99 MB +0% (+512 B) 👌
/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 60.99 MB 61.00 MB +0% (+5.68 KB) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 23.07 MB 23.08 MB +0% (+1.50 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 190.76 MB 190.76 MB +0% (+8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 905.43 MB 905.45 MB +0% (+20.70 KB) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 6.86 MB 6.86 MB +0% (+512 B) 👌
/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 57.39 MB 57.39 MB +0% (+5.52 KB) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 88.29 MB 88.30 MB +0% (+6.09 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 110.96 MB 110.97 MB +0% (+8.87 KB) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 12.02 MB 12.02 MB +0% (+272 B) 👌

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👍 LGTM

@realFlowControl
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/merge

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gh-worker-devflow-routing-ef8351 bot commented Mar 25, 2026

View all feedbacks in Devflow UI.

2026-03-25 13:44:21 UTC ℹ️ Start processing command /merge


2026-03-25 13:44:26 UTC ℹ️ MergeQueue: pull request added to the queue

The expected merge time in main is approximately 45m (p90).


2026-03-25 14:25:59 UTC ℹ️ MergeQueue: This merge request was merged

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3 participants