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feat(profiling): OTel style API #1552

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@danielsn danielsn commented Feb 10, 2026

What does this PR do?

Adds a new API which takes a single sample type by enum along with a single value. Currently, we just forward to the existing API, once we're happy with this we can start changing the underlying data model.

Motivation

  1. This matches what OTel expects, first step towards making libdatadog match otel
  2. The current vector of values is sparse, we're storing a bunch of zeros.

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

@danielsn danielsn requested review from a team as code owners February 10, 2026 22:03
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📚 Documentation Check Results

⚠️ 632 documentation warning(s) found

📦 libdd-profiling - 632 warning(s)

Updated: 2026-02-10 22:12:11 UTC | Commit: f3f7bc9 | 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/dsn/otel-api

Summary by Rule

Rule Base Branch PR Branch Change
unwrap_used 1 1 No change (0%)
Total 1 1 No change (0%)

Annotation Counts by File

File Base Branch PR Branch Change
libdd-profiling/src/internal/profile/mod.rs 1 1 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 27 27 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 59 59 No change (0%)
libdd-common 10 10 No change (0%)
libdd-common-ffi 12 12 No change (0%)
libdd-crashtracker 12 12 No change (0%)
libdd-data-pipeline 6 6 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 9 9 No change (0%)
libdd-trace-utils 15 15 No change (0%)
Total 220 220 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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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 91.65 MB 91.68 MB +.02% (+27.48 KB) 🔍
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.38 MB 8.38 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 10.76 MB 10.76 MB +.01% (+1.36 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 106.35 MB 106.36 MB +0% (+8.61 KB) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 25.07 MB 25.09 MB +.07% (+20.50 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 75.94 KB 76.21 KB +.35% (+274 B) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 172.35 MB 172.46 MB +.06% (+112.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 881.90 MB 882.62 MB +.08% (+729.86 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.56 MB 9.57 MB +.05% (+5.50 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 75.94 KB 76.21 KB +.35% (+274 B) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 23.03 MB 23.04 MB +.03% (+8.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 48.44 MB 48.45 MB +.03% (+16.93 KB) 🔍
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 21.21 MB 21.23 MB +.10% (+22.50 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 77.12 KB 77.40 KB +.35% (+280 B) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 176.44 MB 176.51 MB +.03% (+72.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 866.62 MB 867.08 MB +.05% (+469.73 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 7.24 MB 7.24 MB +.04% (+3.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 77.12 KB 77.40 KB +.35% (+280 B) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 24.61 MB 24.61 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 44.14 MB 44.15 MB +.04% (+18.54 KB) 🔍
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 80.14 MB 80.16 MB +.02% (+22.11 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 9.87 MB 9.88 MB +.03% (+4.00 KB) 🔍
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 100.26 MB 100.28 MB +.01% (+15.32 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.44 MB 11.45 MB +.03% (+4.11 KB) 🔍

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🔒 Cargo Deny Results

⚠️ 6 issue(s) found, showing only errors (advisories, bans, sources)

📦 libdd-profiling - 6 error(s)

Show output 
error[vulnerability]: Integer overflow in `BytesMut::reserve`
   ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:35:1
   │
35 │ bytes 1.8.0 registry+https://github.com/rust-lang/crates.io-index
   │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
   │
   ├ ID: RUSTSEC-2026-0007
   ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0007
   ├ In the unique reclaim path of `BytesMut::reserve`, the condition
     ```rs
     if v_capacity >= new_cap + offset
     ```
     uses an unchecked addition. When `new_cap + offset` overflows `usize` in release builds, this condition may incorrectly pass, causing `self.cap` to be set to a value that exceeds the actual allocated capacity. Subsequent APIs such as `spare_capacity_mut()` then trust this corrupted `cap` value and may create out-of-bounds slices, leading to UB.
     
     This behavior is observable in release builds (integer overflow wraps), whereas debug builds panic due to overflow checks.
     
     ## PoC
     
     ```rs
     use bytes::*;
     
     fn main() {
         let mut a = BytesMut::from(&b"hello world"[..]);
         let mut b = a.split_off(5);
     
         // Ensure b becomes the unique owner of the backing storage
         drop(a);
     
         // Trigger overflow in new_cap + offset inside reserve
         b.reserve(usize::MAX - 6);
     
         // This call relies on the corrupted cap and may cause UB & HBO
         b.put_u8(b'h');
     }
     ```
     
     # Workarounds
     
     Users of `BytesMut::reserve` are only affected if integer overflow checks are configured to wrap. When integer overflow is configured to panic, this issue does not apply.
   ├ Announcement: https://github.com/advisories/GHSA-434x-w66g-qw3r
   ├ Solution: Upgrade to >=1.11.1 (try `cargo update -p bytes`)
   ├ bytes v1.8.0
     ├── combine v4.6.7
     │   └── jni v0.21.1
     │       └── rustls-platform-verifier v0.6.2
     │           └── reqwest v0.13.1
     │               ├── libdd-common v1.1.0
     │               │   └── (dev) libdd-profiling v1.0.0
     │               │       └── (dev) libdd-profiling v1.0.0 (*)
     │               └── libdd-profiling v1.0.0 (*)
     ├── http v1.1.0
     │   ├── http-body v1.0.1
     │   │   ├── http-body-util v0.1.2
     │   │   │   ├── libdd-common v1.1.0 (*)
     │   │   │   ├── libdd-profiling v1.0.0 (*)
     │   │   │   └── reqwest v0.13.1 (*)
     │   │   ├── hyper v1.6.0
     │   │   │   ├── hyper-rustls v0.27.3
     │   │   │   │   ├── libdd-common v1.1.0 (*)
     │   │   │   │   └── reqwest v0.13.1 (*)
     │   │   │   ├── hyper-util v0.1.17
     │   │   │   │   ├── hyper-rustls v0.27.3 (*)
     │   │   │   │   ├── libdd-common v1.1.0 (*)
     │   │   │   │   └── reqwest v0.13.1 (*)
     │   │   │   ├── libdd-common v1.1.0 (*)
     │   │   │   └── reqwest v0.13.1 (*)
     │   │   ├── hyper-util v0.1.17 (*)
     │   │   ├── libdd-common v1.1.0 (*)
     │   │   ├── reqwest v0.13.1 (*)
     │   │   └── tower-http v0.6.8
     │   │       └── reqwest v0.13.1 (*)
     │   ├── http-body-util v0.1.2 (*)
     │   ├── hyper v1.6.0 (*)
     │   ├── hyper-rustls v0.27.3 (*)
     │   ├── hyper-util v0.1.17 (*)
     │   ├── libdd-common v1.1.0 (*)
     │   ├── libdd-profiling v1.0.0 (*)
     │   ├── reqwest v0.13.1 (*)
     │   └── tower-http v0.6.8 (*)
     ├── http-body v1.0.1 (*)
     ├── http-body-util v0.1.2 (*)
     ├── hyper v1.6.0 (*)
     ├── hyper-util v0.1.17 (*)
     ├── libdd-profiling v1.0.0 (*)
     ├── prost v0.14.3
     │   ├── libdd-profiling v1.0.0 (*)
     │   └── libdd-profiling-protobuf v1.0.0
     │       ├── libdd-profiling v1.0.0 (*)
     │       └── (dev) libdd-profiling-protobuf v1.0.0 (*)
     ├── reqwest v0.13.1 (*)
     ├── tokio v1.49.0
     │   ├── hyper v1.6.0 (*)
     │   ├── hyper-rustls v0.27.3 (*)
     │   ├── hyper-util v0.1.17 (*)
     │   ├── (dev) libdd-common v1.1.0 (*)
     │   ├── libdd-profiling v1.0.0 (*)
     │   ├── reqwest v0.13.1 (*)
     │   ├── tokio-rustls v0.26.0
     │   │   ├── hyper-rustls v0.27.3 (*)
     │   │   ├── libdd-common v1.1.0 (*)
     │   │   └── reqwest v0.13.1 (*)
     │   ├── tokio-util v0.7.12
     │   │   └── libdd-profiling v1.0.0 (*)
     │   └── tower v0.5.2
     │       ├── reqwest v0.13.1 (*)
     │       └── tower-http v0.6.8 (*)
     ├── tokio-util v0.7.12 (*)
     └── tower-http v0.6.8 (*)

error[vulnerability]: Lenient `hyper` header parsing of `Content-Length` could allow request smuggling
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:102:1
    │
102 │ hyper 0.10.16 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2021-0078
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2021-0078
    ├ `hyper`'s HTTP header parser accepted, according to RFC 7230, illegal contents inside `Content-Length` headers.
      Due to this, upstream HTTP proxies that ignore the header may still forward them along if it chooses to ignore the error.
      
      To be vulnerable, `hyper` must be used as an HTTP/1 server and using an HTTP proxy upstream that ignores the header's contents
      but still forwards it. Due to all the factors that must line up, an attack exploiting this vulnerability is unlikely.
    ├ Announcement: https://github.com/hyperium/hyper/security/advisories/GHSA-f3pg-qwvg-p99c
    ├ Solution: Upgrade to >=0.14.10 (try `cargo update -p hyper`)
    ├ hyper v0.10.16
      ├── iron v0.6.1
      │   └── multipart v0.18.0
      │       ├── libdd-common v1.1.0
      │       │   └── (dev) libdd-profiling v1.0.0
      │       │       └── (dev) libdd-profiling v1.0.0 (*)
      │       └── libdd-profiling v1.0.0 (*)
      ├── multipart v0.18.0 (*)
      └── nickel v0.11.0
          └── multipart v0.18.0 (*)

error[vulnerability]: Integer overflow in `hyper`'s parsing of the `Transfer-Encoding` header leads to data loss
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:102:1
    │
102 │ hyper 0.10.16 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2021-0079
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2021-0079
    ├ When decoding chunk sizes that are too large, `hyper`'s code would encounter an integer overflow. Depending on the situation,
      this could lead to data loss from an incorrect total size, or in rarer cases, a request smuggling attack.
      
      To be vulnerable, you must be using `hyper` for any HTTP/1 purpose, including as a client or server, and consumers must send
      requests or responses that specify a chunk size greater than 18 exabytes. For a possible request smuggling attack to be possible,
      any upstream proxies must accept a chunk size greater than 64 bits.
    ├ Announcement: https://github.com/hyperium/hyper/security/advisories/GHSA-5h46-h7hh-c6x9
    ├ Solution: Upgrade to >=0.14.10 (try `cargo update -p hyper`)
    ├ hyper v0.10.16
      ├── iron v0.6.1
      │   └── multipart v0.18.0
      │       ├── libdd-common v1.1.0
      │       │   └── (dev) libdd-profiling v1.0.0
      │       │       └── (dev) libdd-profiling v1.0.0 (*)
      │       └── libdd-profiling v1.0.0 (*)
      ├── multipart v0.18.0 (*)
      └── nickel v0.11.0
          └── multipart v0.18.0 (*)

error[vulnerability]: `idna` accepts Punycode labels that do not produce any non-ASCII when decoded
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:118:1
    │
118 │ idna 0.1.5 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2024-0421
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2024-0421
    ├ `idna` 0.5.0 and earlier accepts Punycode labels that do not produce any non-ASCII output, which means that either ASCII labels or the empty root label can be masked such that they appear unequal without IDNA processing or when processed with a different implementation and equal when processed with `idna` 0.5.0 or earlier.
      
      Concretely, `example.org` and `xn--example-.org` become equal after processing by `idna` 0.5.0 or earlier. Also, `example.org.xn--` and `example.org.` become equal after processing by `idna` 0.5.0 or earlier.
      
      In applications using `idna` (but not in `idna` itself) this may be able to lead to privilege escalation when host name comparison is part of a privilege check and the behavior is combined with a client that resolves domains with such labels instead of treating them as errors that preclude DNS resolution / URL fetching and with the attacker managing to introduce a DNS entry (and TLS certificate) for an `xn--`-masked name that turns into the name of the target when processed by `idna` 0.5.0 or earlier.
      
      ## Remedy
      
      Upgrade to `idna` 1.0.3 or later, if depending on `idna` directly, or to `url` 2.5.4 or later, if depending on `idna` via `url`. (This issue was fixed in `idna` 1.0.0, but versions earlier than 1.0.3 are not recommended for other reasons.)
      
      When upgrading, please take a moment to read about [alternative Unicode back ends for `idna`](https://docs.rs/crate/idna_adapter/latest).
      
      If you are using Rust earlier than 1.81 in combination with SQLx 0.8.2 or earlier, please also read an [issue](https://github.com/servo/rust-url/issues/992) about combining them with `url` 2.5.4 and `idna` 1.0.3.
      
      ## Additional information
      
      This issue resulted from `idna` 0.5.0 and earlier implementing the UTS 46 specification literally on this point and the specification having this bug. The specification bug has been fixed in [revision 33 of UTS 46](https://www.unicode.org/reports/tr46/tr46-33.html#Modifications).
      
      ## Acknowledgements
      
      Thanks to kageshiron for recognizing the security implications of this behavior.
    ├ Announcement: https://bugzilla.mozilla.org/show_bug.cgi?id=1887898
    ├ Solution: Upgrade to >=1.0.0 (try `cargo update -p idna`)
    ├ idna v0.1.5
      └── url v1.7.2
          ├── hyper v0.10.16
          │   ├── iron v0.6.1
          │   │   └── multipart v0.18.0
          │   │       ├── libdd-common v1.1.0
          │   │       │   └── (dev) libdd-profiling v1.0.0
          │   │       │       └── (dev) libdd-profiling v1.0.0 (*)
          │   │       └── libdd-profiling v1.0.0 (*)
          │   ├── multipart v0.18.0 (*)
          │   └── nickel v0.11.0
          │       └── multipart v0.18.0 (*)
          ├── iron v0.6.1 (*)
          ├── nickel v0.11.0 (*)
          └── tiny_http v0.6.4
              └── multipart v0.18.0 (*)

error[unmaintained]: multipart is Unmaintained
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:159:1
    │
159 │ multipart 0.18.0 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ unmaintained advisory detected
    │
    ├ ID: RUSTSEC-2023-0050
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2023-0050
    ├ The `multipart` crate is unmaintained. The author has archived the github
      repository.
      
      Alternatives:
      
      - [multer](https://crates.io/crates/multer)
      - [multiparty](https://crates.io/crates/multiparty)
    ├ Solution: No safe upgrade is available!
    ├ multipart v0.18.0
      ├── libdd-common v1.1.0
      │   └── (dev) libdd-profiling v1.0.0
      │       └── (dev) libdd-profiling v1.0.0 (*)
      └── libdd-profiling v1.0.0 (*)

error[vulnerability]: Potential segfault in the time crate
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:268:1
    │
268 │ time 0.1.45 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2020-0071
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2020-0071
    ├ ### Impact
      
      The affected functions set environment variables without synchronization. On Unix-like operating systems, this can crash in multithreaded programs. Programs may segfault due to dereferencing a dangling pointer if an environment variable is read in a different thread than the affected functions. This may occur without the user's knowledge, notably in the Rust standard library or third-party libraries.
      
      The affected functions from time 0.2.7 through 0.2.22 are:
      
      - `time::UtcOffset::local_offset_at`
      - `time::UtcOffset::try_local_offset_at`
      - `time::UtcOffset::current_local_offset`
      - `time::UtcOffset::try_current_local_offset`
      - `time::OffsetDateTime::now_local`
      - `time::OffsetDateTime::try_now_local`
      
      The affected functions in time 0.1 (all versions) are:
      
      - `time::at_utc`
      - `time::at`
      - `time::now`
      - `time::tzset`
      
      Non-Unix targets (including Windows and wasm) are unaffected.
      
      ### Patches
      
      Pending a proper fix, the internal method that determines the local offset has been modified to always return `None` on the affected operating systems. This has the effect of returning an `Err` on the `try_*` methods and `UTC` on the non-`try_*` methods.
      
      Users and library authors with time in their dependency tree should perform `cargo update`, which will pull in the updated, unaffected code.
      
      Users of time 0.1 do not have a patch and should upgrade to an unaffected version: time 0.2.23 or greater or the 0.3 series.
      
      ### Workarounds
      
      A possible workaround for crates affected through the transitive dependency in `chrono`, is to avoid using the default `oldtime` feature dependency of the `chrono` crate by disabling its `default-features` and manually specifying the required features instead.
      
      #### Examples:
      
      `Cargo.toml`:  
      
      ```toml
      chrono = { version = "0.4", default-features = false, features = ["serde"] }
      ```
      
      ```toml
      chrono = { version = "0.4.22", default-features = false, features = ["clock"] }
      ```
      
      Commandline:  
      
      ```bash
      cargo add chrono --no-default-features -F clock
      ```
      
      Sources:  
       - [chronotope/chrono#602 (comment)](https://github.com/chronotope/chrono/issues/602#issuecomment-1242149249)  
       - [vityafx/serde-aux#21](https://github.com/vityafx/serde-aux/issues/21)
    ├ Announcement: https://github.com/time-rs/time/issues/293
    ├ Solution: Upgrade to >=0.2.23 (try `cargo update -p time`)
    ├ time v0.1.45
      ├── hyper v0.10.16
      │   ├── iron v0.6.1
      │   │   └── multipart v0.18.0
      │   │       ├── libdd-common v1.1.0
      │   │       │   └── (dev) libdd-profiling v1.0.0
      │   │       │       └── (dev) libdd-profiling v1.0.0 (*)
      │   │       └── libdd-profiling v1.0.0 (*)
      │   ├── multipart v0.18.0 (*)
      │   └── nickel v0.11.0
      │       └── multipart v0.18.0 (*)
      └── nickel v0.11.0 (*)

advisories FAILED, bans ok, sources ok

Updated: 2026-02-10 22:12:18 UTC | Commit: f3f7bc9 | dependency-check job results

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codecov-commenter commented Feb 10, 2026

Codecov Report

❌ Patch coverage is 7.86517% with 82 lines in your changes missing coverage. Please review.
✅ Project coverage is 70.76%. Comparing base (72e56a3) to head (024da43).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1552      +/-   ##
==========================================
- Coverage   70.89%   70.76%   -0.13%     
==========================================
  Files         423      423              
  Lines       61780    61862      +82     
==========================================
- Hits        43799    43777      -22     
- Misses      17981    18085     +104
Components Coverage Δ
libdd-crashtracker 62.42% <ø> (+0.01%) ⬆️
libdd-crashtracker-ffi 16.74% <ø> (ø)
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 85.60% <ø> (ø)
libdd-data-pipeline-ffi 74.18% <ø> (ø)
libdd-common 79.82% <ø> (ø)
libdd-common-ffi 73.75% <ø> (ø)
libdd-telemetry 62.52% <ø> (ø)
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 80.71% <ø> (-0.12%) ⬇️
libdd-profiling 80.60% <7.86%> (-0.63%) ⬇️
libdd-profiling-ffi 62.77% <0.00%> (-0.90%) ⬇️
datadog-sidecar 32.95% <ø> (-0.68%) ⬇️
datdog-sidecar-ffi 9.29% <ø> (-2.95%) ⬇️
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 94.18% <ø> (ø)
libdd-trace-protobuf 68.00% <ø> (ø)
libdd-trace-utils 88.72% <ø> (+0.13%) ⬆️
datadog-tracer-flare 88.28% <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.

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pr-commenter bot commented Feb 10, 2026 •
edited
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Benchmarks

Comparison

Benchmark execution time: 2026-02-10 22:29:03

Comparing candidate commit 024da43 in PR branch dsn/otel-api with baseline commit 72e56a3 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 57 metrics, 2 unstable metrics.

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 024da43 1770761485 dsn/otel-api
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 34.749µs 35.304µs ± 0.841µs 34.938µs ± 0.043µs 34.994µs 37.060µs 37.122µs 38.815µs 11.10% 1.818 1.784 2.38% 0.059µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [35.188µs; 35.421µs] or [-0.330%; +0.330%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 88.272µs 88.559µs ± 0.198µs 88.542µs ± 0.040µs 88.582µs 88.653µs 88.863µs 91.084µs 2.87% 10.657 132.352 0.22% 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 [88.532µs; 88.587µs] or [-0.031%; +0.031%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 188.355ns 190.465ns ± 1.895ns 189.948ns ± 1.112ns 191.403ns 193.838ns 196.614ns 198.653ns 4.58% 1.453 2.517 0.99% 0.134ns 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 [190.203ns; 190.728ns] or [-0.138%; +0.138%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 13.988ms 14.052ms ± 0.032ms 14.048ms ± 0.014ms 14.062ms 14.090ms 14.169ms 14.256ms 1.48% 2.587 11.294 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 [14.048ms; 14.057ms] or [-0.031%; +0.031%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 18.028µs 25.876µs ± 9.567µs 18.292µs ± 0.154µs 34.220µs 40.860µs 45.492µs 72.411µs 295.85% 1.055 1.418 36.88% 0.676µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [24.550µs; 27.202µs] or [-5.124%; +5.124%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 528.400µs 530.125µs ± 0.777µs 530.054µs ± 0.421µs 530.542µs 531.155µs 532.447µs 534.327µs 0.81% 1.013 4.184 0.15% 0.055µs 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 [530.018µs; 530.233µs] or [-0.020%; +0.020%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 242.238ns 252.673ns ± 13.804ns 246.500ns ± 3.468ns 254.956ns 290.783ns 293.561ns 295.332ns 19.81% 1.854 2.395 5.45% 0.976ns 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 [250.760ns; 254.586ns] or [-0.757%; +0.757%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 205.763µs 206.563µs ± 0.410µs 206.523µs ± 0.296µs 206.815µs 207.248µs 207.489µs 208.025µs 0.73% 0.513 -0.036 0.20% 0.029µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4807122.024op/s 4841158.562op/s ± 9608.276op/s 4842086.790op/s ± 6952.143op/s 4849053.868op/s 4855604.780op/s 4857591.572op/s 4859957.054op/s 0.37% -0.503 -0.057 0.20% 679.408op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 18.600µs 18.677µs ± 0.059µs 18.663µs ± 0.023µs 18.689µs 18.788µs 18.869µs 19.086µs 2.27% 2.838 13.055 0.31% 0.004µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 52393238.786op/s 53543390.353op/s ± 166434.953op/s 53582999.841op/s ± 67216.394op/s 53643404.336op/s 53715877.830op/s 53751824.023op/s 53764298.228op/s 0.34% -2.774 12.469 0.31% 11768.728op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.818µs 10.882µs ± 0.027µs 10.880µs ± 0.018µs 10.898µs 10.930µs 10.947µs 10.964µs 0.77% 0.361 0.050 0.25% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 91209239.566op/s 91898838.147op/s ± 226508.519op/s 91909378.757op/s ± 148181.516op/s 92057704.025op/s 92251481.200op/s 92381575.653op/s 92438984.978op/s 0.58% -0.347 0.037 0.25% 16016.571op/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 [206.506µs; 206.620µs] or [-0.028%; +0.028%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [4839826.947op/s; 4842490.177op/s] or [-0.028%; +0.028%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.669µs; 18.685µs] or [-0.043%; +0.043%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [53520324.069op/s; 53566456.636op/s] or [-0.043%; +0.043%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.878µs; 10.885µs] or [-0.034%; +0.034%] None None None
normalization/normalize_name/normalize_name/good throughput [91867446.245op/s; 91930230.049op/s] or [-0.034%; +0.034%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 535.225µs 536.763µs ± 1.067µs 536.413µs ± 0.483µs 537.350µs 538.553µs 539.429µs 542.660µs 1.16% 1.642 4.450 0.20% 0.075µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1842774.681op/s 1863026.338op/s ± 3693.121op/s 1864234.491op/s ± 1677.787op/s 1865556.989op/s 1867049.308op/s 1868009.298op/s 1868373.935op/s 0.22% -1.620 4.303 0.20% 261.143op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 381.598µs 382.281µs ± 0.326µs 382.244µs ± 0.222µs 382.484µs 382.886µs 383.141µs 383.465µs 0.32% 0.557 0.265 0.09% 0.023µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2607796.973op/s 2615879.384op/s ± 2233.015op/s 2616129.714op/s ± 1519.556op/s 2617540.366op/s 2619099.373op/s 2619751.438op/s 2620556.121op/s 0.17% -0.552 0.254 0.09% 157.898op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 189.565µs 189.967µs ± 0.202µs 189.938µs ± 0.110µs 190.065µs 190.325µs 190.613µs 190.893µs 0.50% 1.114 2.436 0.11% 0.014µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5238545.919op/s 5264073.787op/s ± 5584.410op/s 5264882.659op/s ± 3042.317op/s 5267766.480op/s 5272071.146op/s 5273822.904op/s 5275242.543op/s 0.20% -1.104 2.396 0.11% 394.877op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.531µs 36.648µs ± 0.047µs 36.645µs ± 0.024µs 36.667µs 36.716µs 36.759µs 36.986µs 0.93% 2.217 13.502 0.13% 0.003µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 27037279.097op/s 27286983.386op/s ± 34532.531op/s 27288965.539op/s ± 18011.643op/s 27308052.646op/s 27332318.605op/s 27348415.935op/s 27373962.050op/s 0.31% -2.177 13.164 0.13% 2441.819op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.844µs 45.972µs ± 0.118µs 45.956µs ± 0.044µs 46.010µs 46.085µs 46.146µs 47.361µs 3.06% 8.334 95.539 0.26% 0.008µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21114433.897op/s 21752357.003op/s ± 54482.547op/s 21759828.552op/s ± 20832.447op/s 21778431.561op/s 21795674.680op/s 21811300.711op/s 21813105.314op/s 0.24% -8.120 92.164 0.25% 3852.498op/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 [536.615µs; 536.911µs] or [-0.028%; +0.028%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [1862514.507op/s; 1863538.169op/s] or [-0.027%; +0.027%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [382.236µs; 382.326µs] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2615569.910op/s; 2616188.859op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [189.939µs; 189.995µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5263299.842op/s; 5264847.733op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [36.641µs; 36.654µs] or [-0.018%; +0.018%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [27282197.509op/s; 27291769.262op/s] or [-0.018%; +0.018%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.956µs; 45.989µs] or [-0.035%; +0.035%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21744806.246op/s; 21759907.760op/s] or [-0.035%; +0.035%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 2.395µs 2.439µs ± 0.017µs 2.438µs ± 0.007µs 2.445µs 2.484µs 2.492µs 2.495µs 2.34% 0.855 2.433 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 [2.437µs; 2.442µs] or [-0.099%; +0.099%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 3.959ms 3.963ms ± 0.006ms 3.962ms ± 0.001ms 3.964ms 3.968ms 3.975ms 4.047ms 2.13% 10.781 134.415 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_frames_x1000 execution_time [3.962ms; 3.964ms] or [-0.023%; +0.023%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 3.896µs 3.912µs ± 0.003µs 3.912µs ± 0.001µs 3.914µs 3.917µs 3.918µs 3.919µs 0.18% -0.879 7.665 0.06% 0.000µs 1 200
credit_card/is_card_number/ throughput 255167618.471op/s 255617581.326op/s ± 166385.226op/s 255638409.671op/s ± 86550.335op/s 255705465.719op/s 255824757.399op/s 255940680.336op/s 256689441.327op/s 0.41% 0.896 7.776 0.06% 11765.212op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 78.937µs 80.047µs ± 0.517µs 79.997µs ± 0.352µs 80.367µs 80.971µs 81.376µs 81.948µs 2.44% 0.565 0.349 0.64% 0.037µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12202846.055op/s 12493145.145op/s ± 80452.108op/s 12500456.892op/s ± 55176.988op/s 12553298.490op/s 12609710.853op/s 12647066.363op/s 12668368.958op/s 1.34% -0.526 0.272 0.64% 5688.823op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 74.485µs 74.985µs ± 0.166µs 74.989µs ± 0.100µs 75.083µs 75.225µs 75.383µs 75.677µs 0.92% 0.226 1.606 0.22% 0.012µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13214102.682op/s 13336042.074op/s ± 29582.869op/s 13335281.877op/s ± 17840.061op/s 13353771.248op/s 13383647.615op/s 13409940.191op/s 13425457.352op/s 0.68% -0.203 1.570 0.22% 2091.825op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.893µs 3.912µs ± 0.003µs 3.912µs ± 0.001µs 3.913µs 3.917µs 3.920µs 3.925µs 0.34% -0.316 9.542 0.08% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254781461.874op/s 255618973.151op/s ± 192714.140op/s 255652282.553op/s ± 92523.937op/s 255719709.597op/s 255819938.671op/s 255907965.143op/s 256863127.614op/s 0.47% 0.342 9.661 0.08% 13626.948op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 71.430µs 72.084µs ± 0.202µs 72.075µs ± 0.112µs 72.202µs 72.427µs 72.574µs 73.022µs 1.31% 0.441 2.253 0.28% 0.014µs 1 200
credit_card/is_card_number/378282246310005 throughput 13694494.931op/s 13872723.013op/s ± 38879.500op/s 13874365.040op/s ± 21569.010op/s 13894956.135op/s 13926093.234op/s 13968886.700op/s 13999746.796op/s 0.90% -0.407 2.184 0.28% 2749.196op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 52.152µs 52.209µs ± 0.029µs 52.206µs ± 0.019µs 52.226µs 52.262µs 52.288µs 52.306µs 0.19% 0.684 0.275 0.06% 0.002µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 19118248.458op/s 19153855.888op/s ± 10785.379op/s 19154986.739op/s ± 7123.235op/s 19161963.981op/s 19168932.432op/s 19171775.010op/s 19174813.882op/s 0.10% -0.680 0.269 0.06% 762.641op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 5.731µs 5.880µs ± 0.058µs 5.872µs ± 0.047µs 5.928µs 5.967µs 5.992µs 5.998µs 2.14% -0.076 -0.775 0.98% 0.004µs 1 200
credit_card/is_card_number/x371413321323331 throughput 166712725.143op/s 170095430.874op/s ± 1677784.286op/s 170286985.003op/s ± 1357715.631op/s 171411379.946op/s 172725853.610op/s 173415917.927op/s 174486698.622op/s 2.47% 0.113 -0.752 0.98% 118637.265op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.892µs 3.913µs ± 0.003µs 3.913µs ± 0.002µs 3.915µs 3.917µs 3.920µs 3.935µs 0.58% 1.177 16.912 0.09% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254110303.755op/s 255562484.655op/s ± 227917.891op/s 255575106.985op/s ± 124605.966op/s 255687975.842op/s 255817809.679op/s 255875080.812op/s 256911662.493op/s 0.52% -1.130 16.839 0.09% 16116.229op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.152µs 64.312µs ± 0.121µs 64.272µs ± 0.049µs 64.352µs 64.556µs 64.769µs 64.987µs 1.11% 2.281 6.997 0.19% 0.009µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15387618.550op/s 15549154.265op/s ± 29218.630op/s 15558946.941op/s ± 11869.699op/s 15567173.113op/s 15576153.850op/s 15585745.153op/s 15587881.981op/s 0.19% -2.260 6.859 0.19% 2066.069op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 57.324µs 57.579µs ± 0.119µs 57.561µs ± 0.078µs 57.646µs 57.803µs 57.920µs 57.994µs 0.75% 0.775 0.679 0.21% 0.008µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 17243181.882op/s 17367652.419op/s ± 35784.268op/s 17372727.434op/s ± 23493.020op/s 17391139.649op/s 17416055.693op/s 17434563.695op/s 17444611.104op/s 0.41% -0.762 0.652 0.21% 2530.330op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.893µs 3.912µs ± 0.002µs 3.911µs ± 0.001µs 3.913µs 3.915µs 3.918µs 3.919µs 0.20% -1.569 14.227 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255144150.453op/s 255647973.784op/s ± 161717.962op/s 255658661.776op/s ± 89920.015op/s 255746008.479op/s 255841706.035op/s 255906189.920op/s 256850933.168op/s 0.47% 1.595 14.433 0.06% 11435.187op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 54.582µs 54.836µs ± 0.221µs 54.763µs ± 0.095µs 54.938µs 55.247µs 55.516µs 56.103µs 2.45% 1.888 5.319 0.40% 0.016µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 17824386.546op/s 18236601.444op/s ± 73031.587op/s 18260610.955op/s ± 31887.294op/s 18288914.632op/s 18306765.815op/s 18314518.601op/s 18320896.815op/s 0.33% -1.844 5.002 0.40% 5164.113op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 52.158µs 52.230µs ± 0.037µs 52.232µs ± 0.028µs 52.255µs 52.284µs 52.299µs 52.429µs 0.38% 0.908 3.389 0.07% 0.003µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 19073555.677op/s 19146145.382op/s ± 13646.682op/s 19145435.509op/s ± 10330.137op/s 19156658.539op/s 19166134.687op/s 19170866.456op/s 19172345.808op/s 0.14% -0.898 3.337 0.07% 964.966op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 5.727µs 5.872µs ± 0.061µs 5.862µs ± 0.041µs 5.918µs 5.966µs 6.003µs 6.037µs 2.99% 0.189 -0.397 1.03% 0.004µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 165635870.462op/s 170326868.815op/s ± 1753048.632op/s 170583788.521op/s ± 1187213.310op/s 171578535.157op/s 173222514.573op/s 173756591.791op/s 174613979.480op/s 2.36% -0.141 -0.412 1.03% 123959.258op/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; 3.912µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/ throughput [255594521.934op/s; 255640640.718op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [79.976µs; 80.119µs] or [-0.090%; +0.090%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12481995.256op/s; 12504295.033op/s] or [-0.089%; +0.089%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [74.962µs; 75.008µs] or [-0.031%; +0.031%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13331942.173op/s; 13340141.976op/s] or [-0.031%; +0.031%] None None None
credit_card/is_card_number/37828224631 execution_time [3.912µs; 3.912µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/37828224631 throughput [255592264.825op/s; 255645681.478op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/378282246310005 execution_time [72.056µs; 72.112µs] or [-0.039%; +0.039%] None None None
credit_card/is_card_number/378282246310005 throughput [13867334.688op/s; 13878111.337op/s] or [-0.039%; +0.039%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [52.205µs; 52.213µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [19152361.138op/s; 19155350.638op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/x371413321323331 execution_time [5.872µs; 5.888µs] or [-0.137%; +0.137%] None None None
credit_card/is_card_number/x371413321323331 throughput [169862906.108op/s; 170327955.640op/s] or [-0.137%; +0.137%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.912µs; 3.913µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ throughput [255530897.428op/s; 255594071.883op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [64.296µs; 64.329µs] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15545104.844op/s; 15553203.686op/s] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [57.562µs; 57.595µs] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [17362693.063op/s; 17372611.774op/s] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.911µs; 3.912µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255625561.230op/s; 255670386.338op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [54.805µs; 54.866µs] or [-0.056%; +0.056%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [18226479.968op/s; 18246722.919op/s] or [-0.056%; +0.056%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [52.225µs; 52.235µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [19144254.083op/s; 19148036.681op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [5.863µs; 5.880µs] or [-0.143%; +0.143%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [170083913.135op/s; 170569824.496op/s] or [-0.143%; +0.143%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 1.167µs 3.212µs ± 1.429µs 2.994µs ± 0.036µs 3.020µs 3.683µs 13.729µs 15.122µs 405.02% 7.335 55.248 44.39% 0.101µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.013µs; 3.410µs] or [-6.167%; +6.167%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 49.015ms 49.280ms ± 0.964ms 49.161ms ± 0.059ms 49.222ms 49.322ms 53.122ms 61.351ms 24.80% 10.644 124.213 1.95% 0.068ms 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 [49.146ms; 49.413ms] or [-0.271%; +0.271%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 144.236µs 146.111µs ± 1.781µs 145.788µs ± 0.526µs 146.421µs 147.846µs 153.216µs 162.443µs 11.42% 5.566 42.210 1.22% 0.126µs 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 [145.864µs; 146.358µs] or [-0.169%; +0.169%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 159.451µs 160.308µs ± 0.239µs 160.278µs ± 0.113µs 160.392µs 160.684µs 161.175µs 161.320µs 0.65% 1.019 3.954 0.15% 0.017µs 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 [160.275µs; 160.341µs] or [-0.021%; +0.021%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 10.624ms 10.655ms ± 0.017ms 10.654ms ± 0.009ms 10.663ms 10.682ms 10.697ms 10.745ms 0.86% 1.609 6.668 0.16% 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 [10.653ms; 10.657ms] or [-0.022%; +0.022%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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/2597 execution_time 9.607ms 9.858ms ± 0.076ms 9.864ms ± 0.024ms 9.889ms 9.945ms 9.976ms 10.336ms 4.78% 0.032 9.695 0.76% 0.005ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2597 execution_time [9.847ms; 9.868ms] or [-0.106%; +0.106%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 024da43 1770761485 dsn/otel-api
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 5.039µs 5.108µs ± 0.043µs 5.103µs ± 0.027µs 5.126µs 5.176µs 5.183µs 5.185µs 1.61% 0.302 -0.974 0.84% 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 [5.102µs; 5.114µs] or [-0.116%; +0.116%] None None None

Baseline

Omitted due to size.

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@danielsn @codecov-commenter