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feat(library-config): support windows memory file #1262

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dmehala
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@dmehala dmehala commented Oct 8, 2025 •
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What does this PR do?

Implement a memfd-like for Windows to store in-memory the tracer configuration. It relies on Windows API to create in-memory file that can be shared and accessed by other processes.

Main difference with the linux implementation is the anonymous file format: datadog-tracer-info-<PID>.

Motivation

@raphaelgavache

How to test the change?

Boot a windows VM. Compile this code:

writer

// clang-cl .\writer.cc -Iinclude "C:\workspace\libdatadog\target\debug\datadog_library_config_ffi.lib" user32.lib ws2_32.lib crypt32.lib secur32.lib userenv.lib ntdll.lib ncrypt.lib advapi32.lib  -o writer.exe
#include <datadog/library-config.h>
#include <iostream>

int main(int argc, char *argv[]) {
  auto pid = GetCurrentProcessId();
  std::cout << "PID: " << pid << std::endl;

  struct ddog_TracerMetadata *builder = ddog_tracer_metadata_new();
  ddog_tracer_metadata_set(builder, DDOG_METADATA_KIND_RUNTIME_ID, "12");

  struct ddog_Result_TracerMemfdHandle result =
      ddog_tracer_metadata_store(builder);
  ddog_tracer_metadata_free(builder);
  if (result.tag == DDOG_RESULT_TRACER_MEMFD_HANDLE_ERR_TRACER_MEMFD_HANDLE) {
    std::cout << "writer.cc: err: " << (char *)result.err.message.ptr
              << std::endl;
    return 1;
  }

  void *handle = result.ok.fd;
  if (handle == nullptr) {
    std::cout << "handle is nullptr" << std::endl;
    return 2;
  }

  std::cout << "tag: " << result.tag << " handle: " << handle << std::endl;

  system("pause");
  return 0;
}

reader

// clang .\reader.cc -o reader.exe
#include <iostream>
// clang-format off
#include <windows.h>
#include <psapi.h>
// clang-format on

static const size_t k_anon_file_size = 256;

void try_read_anon_file(int pid) {
  char fm[256];
  snprintf(fm, 256, "datadog-tracer-info-%d", pid);

  std::cout << "Trying to read anonymous file: " << fm << "..." << std::endl;
  HANDLE h = OpenFileMapping(FILE_MAP_READ, FALSE, fm);
  if (h == NULL) {
    /*std::cout << "Could not open the anonymous file" << std::endl;*/
    return;
  }

  std::cout << "FOUND ONE!" << std::endl;

  void *addr = MapViewOfFile(h, FILE_MAP_READ, 0, 0, k_anon_file_size);
  if (addr == NULL) {
    /*std::cout << "Could not map the file..." << std::endl;*/
    return;
  }

  char *content = (char *)addr;
  std::cout << "[PID:" << pid << "] content: " << content << std::endl;

  UnmapViewOfFile(addr);
  CloseHandle(h);

  return;
}

int main(int argc, char *argv[]) {
  if (argc >= 2) {
    int pid = std::atoi(argv[1]);
    try_read_anon_file(pid);
    return 0;
  }

  DWORD processes[1024], sz_processes;

  if (!EnumProcesses(processes, sizeof(processes), &sz_processes)) {
    printf("EnumProcesses failed\n");
    return 1;
  }

  const size_t cProcesses = sz_processes / sizeof(DWORD);
  for (size_t i = 0; i < cProcesses; i++) {
    if (processes[i] != 0) {
      try_read_anon_file(processes[i]);
    }
  }

  return 0;
}

Expected result:
image

@dmehala
feat(library-config): support windows memory file
e319e5b 
Implement a memfd-like for Windows to store in-memory the tracer
configuration. It relies on Windows API to create in-memory file that
can be shared and accessed by other processes.
@pr-commenter
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pr-commenter bot commented Oct 8, 2025 •
edited
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Benchmarks

Comparison

Benchmark execution time: 2025-10-09 09:11:49

Comparing candidate commit 57a4e3d in PR branch dmehala/win-memfd with baseline commit f65f27b in branch main.

Found 2 performance improvements and 0 performance regressions! Performance is the same for 51 metrics, 2 unstable metrics.

scenario:credit_card/is_card_number/378282246310005

  • 🟩 execution_time [-9.520µs; -9.240µs] or [-12.191%; -11.833%]
  • 🟩 throughput [+1722528.528op/s; +1774905.993op/s] or [+13.450%; +13.859%]

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 57a4e3d 1760000332 dmehala/win-memfd
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 243.678ns 254.091ns ± 12.849ns 247.954ns ± 2.450ns 256.289ns 285.712ns 295.484ns 298.440ns 20.36% 1.879 2.633 5.04% 0.909ns 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 [252.310ns; 255.872ns] or [-0.701%; +0.701%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 34.319µs 34.844µs ± 0.861µs 34.439µs ± 0.056µs 34.564µs 36.649µs 36.719µs 38.419µs 11.56% 1.773 1.657 2.46% 0.061µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.725µs; 34.963µs] or [-0.342%; +0.342%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 2.383µs ± 0.022µs 2.377µs ± 0.006µs 2.390µs 2.432µs 2.435µs 2.436µs 2.48% 0.290 1.665 0.91% 0.002µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
tags/replace_trace_tags execution_time [2.380µs; 2.386µs] or [-0.126%; +0.126%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 10.770ms 10.801ms ± 0.017ms 10.799ms ± 0.010ms 10.809ms 10.826ms 10.849ms 10.895ms 0.88% 1.670 6.477 0.15% 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 [10.799ms; 10.803ms] or [-0.021%; +0.021%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 6.199ms 6.265ms ± 0.049ms 6.251ms ± 0.024ms 6.284ms 6.367ms 6.400ms 6.502ms 4.01% 1.513 2.699 0.78% 0.003ms 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 [6.258ms; 6.272ms] or [-0.108%; +0.108%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 5.012µs 5.061µs ± 0.028µs 5.067µs ± 0.026µs 5.089µs 5.097µs 5.105µs 5.164µs 1.91% 0.144 -0.750 0.55% 0.002µs 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 [5.057µs; 5.065µs] or [-0.077%; +0.077%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 1.206µs 3.176µs ± 1.447µs 2.999µs ± 0.024µs 3.020µs 3.357µs 13.917µs 15.300µs 410.17% 7.497 56.830 45.43% 0.102µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [2.975µs; 3.376µs] or [-6.313%; +6.313%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 204.193µs 205.077µs ± 0.510µs 205.015µs ± 0.302µs 205.347µs 206.016µs 206.331µs 208.859µs 1.87% 2.447 13.966 0.25% 0.036µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4787927.796op/s 4876249.090op/s ± 12054.522op/s 4877699.271op/s ± 7205.765op/s 4884234.888op/s 4890589.225op/s 4891933.028op/s 4897328.825op/s 0.40% -2.374 13.271 0.25% 852.383op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 18.521µs 18.625µs ± 0.084µs 18.618µs ± 0.062µs 18.677µs 18.788µs 18.858µs 18.888µs 1.45% 0.779 0.057 0.45% 0.006µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 52944760.667op/s 53693652.875op/s ± 242133.872op/s 53710777.477op/s ± 179791.718op/s 53943405.888op/s 53977029.846op/s 53987035.197op/s 53992666.149op/s 0.52% -0.759 0.008 0.45% 17121.450op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.865µs 10.919µs ± 0.027µs 10.919µs ± 0.019µs 10.937µs 10.967µs 10.990µs 10.995µs 0.70% 0.389 -0.116 0.25% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 90950432.015op/s 91582973.571op/s ± 229823.111op/s 91583478.351op/s ± 155850.303op/s 91743729.839op/s 91936899.024op/s 92008855.366op/s 92036393.016op/s 0.49% -0.376 -0.134 0.25% 16250.948op/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 [205.006µs; 205.148µs] or [-0.034%; +0.034%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [4874578.449op/s; 4877919.731op/s] or [-0.034%; +0.034%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.613µs; 18.636µs] or [-0.063%; +0.063%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [53660095.449op/s; 53727210.301op/s] or [-0.062%; +0.062%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.915µs; 10.923µs] or [-0.035%; +0.035%] None None None
normalization/normalize_name/normalize_name/good throughput [91551122.299op/s; 91614824.844op/s] or [-0.035%; +0.035%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching serializing traces from their internal representation to msgpack execution_time 14.990ms 15.045ms ± 0.030ms 15.041ms ± 0.012ms 15.053ms 15.086ms 15.170ms 15.223ms 1.21% 2.502 10.015 0.20% 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 [15.041ms; 15.049ms] or [-0.027%; +0.027%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 90.635µs 90.856µs ± 0.200µs 90.825µs ± 0.055µs 90.885µs 91.060µs 91.267µs 93.194µs 2.61% 8.335 92.208 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 [90.828µs; 90.883µs] or [-0.030%; +0.030%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 159.239µs 159.952µs ± 0.296µs 159.913µs ± 0.162µs 160.098µs 160.386µs 161.003µs 161.967µs 1.28% 2.193 11.136 0.18% 0.021µs 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 [159.911µs; 159.993µs] or [-0.026%; +0.026%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 60.015ms 60.458ms ± 2.090ms 60.181ms ± 0.077ms 60.297ms 60.432ms 71.845ms 79.790ms 32.58% 8.433 71.168 3.45% 0.148ms 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 [60.169ms; 60.748ms] or [-0.479%; +0.479%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 3.914µs ± 0.003µs 3.914µs ± 0.001µs 3.916µs 3.918µs 3.920µs 3.920µs 0.17% -1.736 13.909 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 255084263.667op/s 255496193.162op/s ± 172820.815op/s 255509543.284op/s ± 96256.094op/s 255600431.800op/s 255701300.861op/s 255771951.830op/s 256787352.032op/s 0.50% 1.762 14.135 0.07% 12220.277op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 76.801µs 78.335µs ± 0.763µs 78.338µs ± 0.544µs 78.780µs 79.686µs 80.349µs 80.764µs 3.10% 0.476 -0.013 0.97% 0.054µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12381774.608op/s 12766843.204op/s ± 123854.061op/s 12765193.185op/s ± 89034.450op/s 12860919.282op/s 12942775.838op/s 12999086.971op/s 13020733.993op/s 2.00% -0.425 -0.092 0.97% 8757.805op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 70.752µs 72.304µs ± 0.714µs 72.206µs ± 0.443µs 72.693µs 73.649µs 74.050µs 74.538µs 3.23% 0.514 0.017 0.99% 0.051µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13415896.757op/s 13831848.266op/s ± 136016.233op/s 13849190.250op/s ± 85494.556op/s 13929132.442op/s 14029822.439op/s 14103942.458op/s 14133972.365op/s 2.06% -0.462 -0.038 0.98% 9617.800op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.895µs 3.914µs ± 0.003µs 3.914µs ± 0.001µs 3.916µs 3.919µs 3.922µs 3.923µs 0.23% -1.052 10.715 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254891694.982op/s 255462830.809op/s ± 180625.508op/s 255478955.776op/s ± 95985.271op/s 255562480.236op/s 255684829.068op/s 255733007.437op/s 256711874.693op/s 0.48% 1.077 10.881 0.07% 12772.152op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 67.332µs 68.708µs ± 0.704µs 68.612µs ± 0.473µs 69.164µs 69.852µs 70.751µs 71.293µs 3.91% 0.660 0.668 1.02% 0.050µs 1 200
credit_card/is_card_number/378282246310005 throughput 14026549.761op/s 14555862.450op/s ± 148255.717op/s 14574633.284op/s ± 99891.172op/s 14660053.092op/s 14768114.821op/s 14821498.917op/s 14851786.797op/s 1.90% -0.593 0.490 1.02% 10483.262op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 52.761µs 52.915µs ± 0.053µs 52.913µs ± 0.031µs 52.946µs 52.998µs 53.046µs 53.083µs 0.32% 0.226 0.520 0.10% 0.004µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 18838456.646op/s 18898371.310op/s ± 18900.255op/s 18899052.213op/s ± 11024.021op/s 18909125.071op/s 18929135.351op/s 18941626.535op/s 18953304.273op/s 0.29% -0.219 0.515 0.10% 1336.450op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.429µs 6.437µs ± 0.005µs 6.437µs ± 0.003µs 6.440µs 6.446µs 6.449µs 6.462µs 0.40% 1.122 2.757 0.08% 0.000µs 1 200
credit_card/is_card_number/x371413321323331 throughput 154743423.653op/s 155353531.060op/s ± 117683.953op/s 155362146.016op/s ± 82694.524op/s 155445642.727op/s 155504394.766op/s 155531065.878op/s 155541511.667op/s 0.12% -1.114 2.714 0.08% 8321.512op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.894µs 3.915µs ± 0.003µs 3.914µs ± 0.002µs 3.917µs 3.920µs 3.922µs 3.923µs 0.22% -0.933 8.001 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254909680.163op/s 255447431.150op/s ± 207984.981op/s 255466431.713op/s ± 129630.166op/s 255584777.471op/s 255686850.837op/s 255752138.105op/s 256814556.671op/s 0.53% 0.956 8.156 0.08% 14706.759op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.933µs 65.129µs ± 0.134µs 65.077µs ± 0.057µs 65.191µs 65.367µs 65.508µs 65.922µs 1.30% 1.957 6.075 0.21% 0.009µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15169536.812op/s 15354310.979op/s ± 31500.870op/s 15366405.963op/s ± 13377.279op/s 15374208.996op/s 15384450.628op/s 15388501.903op/s 15400585.222op/s 0.22% -1.931 5.883 0.20% 2227.448op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 58.613µs 58.977µs ± 0.208µs 58.936µs ± 0.127µs 59.079µs 59.355µs 59.566µs 59.689µs 1.28% 0.924 0.814 0.35% 0.015µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 16753436.327op/s 16956039.374op/s ± 59536.881op/s 16967590.206op/s ± 36543.407op/s 16998394.935op/s 17032640.588op/s 17051270.739op/s 17061044.417op/s 0.55% -0.904 0.764 0.35% 4209.893op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.895µs 3.916µs ± 0.003µs 3.916µs ± 0.002µs 3.917µs 3.920µs 3.923µs 3.924µs 0.22% -1.285 10.269 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254811219.792op/s 255382312.899op/s ± 193149.680op/s 255378363.289op/s ± 115645.377op/s 255499067.429op/s 255624459.716op/s 255765387.542op/s 256711240.647op/s 0.52% 1.309 10.437 0.08% 13657.745op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 55.367µs 55.690µs ± 0.197µs 55.654µs ± 0.117µs 55.795µs 56.042µs 56.326µs 56.367µs 1.28% 0.987 0.997 0.35% 0.014µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 17740799.818op/s 17956849.676op/s ± 63334.274op/s 17968025.911op/s ± 37912.448op/s 18001121.920op/s 18039800.763op/s 18052501.379op/s 18061256.558op/s 0.52% -0.966 0.936 0.35% 4478.409op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 52.789µs 52.928µs ± 0.046µs 52.927µs ± 0.033µs 52.963µs 53.001µs 53.024µs 53.051µs 0.23% -0.284 0.264 0.09% 0.003µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 18849729.656op/s 18893555.216op/s ± 16531.606op/s 18893771.668op/s ± 11833.844op/s 18904086.118op/s 18924513.112op/s 18935655.090op/s 18943258.826op/s 0.26% 0.290 0.270 0.09% 1168.961op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.428µs 6.436µs ± 0.003µs 6.435µs ± 0.002µs 6.438µs 6.442µs 6.443µs 6.444µs 0.13% 0.268 -0.665 0.05% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 155184387.631op/s 155381394.056op/s ± 81404.298op/s 155393609.112op/s ± 59217.438op/s 155442039.072op/s 155501463.032op/s 155539675.286op/s 155566142.557op/s 0.11% -0.266 -0.666 0.05% 5756.153op/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 [3.914µs; 3.914µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/ throughput [255472241.859op/s; 255520144.465op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [78.229µs; 78.441µs] or [-0.135%; +0.135%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12749678.223op/s; 12784008.186op/s] or [-0.134%; +0.134%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [72.205µs; 72.403µs] or [-0.137%; +0.137%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13812997.725op/s; 13850698.808op/s] or [-0.136%; +0.136%] None None None
credit_card/is_card_number/37828224631 execution_time [3.914µs; 3.915µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/37828224631 throughput [255437797.851op/s; 255487863.767op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/378282246310005 execution_time [68.610µs; 68.806µs] or [-0.142%; +0.142%] None None None
credit_card/is_card_number/378282246310005 throughput [14535315.634op/s; 14576409.267op/s] or [-0.141%; +0.141%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [52.907µs; 52.922µs] or [-0.014%; +0.014%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [18895751.917op/s; 18900990.704op/s] or [-0.014%; +0.014%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.436µs; 6.438µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/x371413321323331 throughput [155337221.196op/s; 155369840.924op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.914µs; 3.915µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ throughput [255418606.432op/s; 255476255.868op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.110µs; 65.147µs] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15349945.261op/s; 15358676.696op/s] or [-0.028%; +0.028%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [58.948µs; 59.006µs] or [-0.049%; +0.049%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [16947788.135op/s; 16964290.613op/s] or [-0.049%; +0.049%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.915µs; 3.916µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255355544.211op/s; 255409081.587op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [55.662µs; 55.717µs] or [-0.049%; +0.049%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [17948072.155op/s; 17965627.197op/s] or [-0.049%; +0.049%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [52.922µs; 52.935µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [18891264.095op/s; 18895846.338op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.435µs; 6.436µs] or [-0.007%; +0.007%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [155370112.203op/s; 155392675.909op/s] or [-0.007%; +0.007%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 534.293µs 536.214µs ± 1.613µs 535.642µs ± 0.505µs 536.584µs 539.758µs 542.076µs 543.089µs 1.39% 1.833 3.376 0.30% 0.114µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1841319.225op/s 1864942.381op/s ± 5581.088op/s 1866917.141op/s ± 1758.931op/s 1868310.025op/s 1870249.906op/s 1871188.823op/s 1871632.438op/s 0.25% -1.815 3.289 0.30% 394.643op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 383.170µs 384.020µs ± 0.341µs 384.000µs ± 0.214µs 384.216µs 384.616µs 384.892µs 385.006µs 0.26% 0.297 0.076 0.09% 0.024µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2597365.186op/s 2604030.495op/s ± 2310.183op/s 2604167.129op/s ± 1448.625op/s 2605563.826op/s 2607644.066op/s 2608837.685op/s 2609807.038op/s 0.22% -0.292 0.072 0.09% 163.355op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 190.184µs 190.731µs ± 0.287µs 190.708µs ± 0.191µs 190.911µs 191.158µs 191.293µs 192.500µs 0.94% 1.282 6.026 0.15% 0.020µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5194806.579op/s 5243009.752op/s ± 7873.261op/s 5243615.696op/s ± 5259.026op/s 5248688.938op/s 5254671.459op/s 5257595.749op/s 5258077.216op/s 0.28% -1.254 5.828 0.15% 556.724op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.876µs 37.077µs ± 0.093µs 37.097µs ± 0.061µs 37.149µs 37.198µs 37.220µs 37.255µs 0.42% -0.504 -0.687 0.25% 0.007µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26842216.870op/s 26970868.760op/s ± 67517.638op/s 26956111.884op/s ± 44589.234op/s 27016028.462op/s 27097418.737op/s 27115784.405op/s 27117545.307op/s 0.60% 0.512 -0.679 0.25% 4774.218op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.281µs 46.823µs ± 0.217µs 46.836µs ± 0.145µs 46.964µs 47.109µs 47.196µs 48.096µs 2.69% 0.713 4.767 0.46% 0.015µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 20791821.883op/s 21357697.950op/s ± 98479.704op/s 21350874.621op/s ± 66468.001op/s 21426283.411op/s 21522641.771op/s 21573856.722op/s 21607227.185op/s 1.20% -0.629 4.283 0.46% 6963.567op/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 [535.991µs; 536.438µs] or [-0.042%; +0.042%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [1864168.896op/s; 1865715.866op/s] or [-0.041%; +0.041%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [383.973µs; 384.068µs] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2603710.326op/s; 2604350.664op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [190.691µs; 190.770µs] or [-0.021%; +0.021%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5241918.594op/s; 5244100.911op/s] or [-0.021%; +0.021%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.064µs; 37.090µs] or [-0.035%; +0.035%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26961511.464op/s; 26980226.055op/s] or [-0.035%; +0.035%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.793µs; 46.853µs] or [-0.064%; +0.064%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21344049.611op/s; 21371346.290op/s] or [-0.064%; +0.064%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 57a4e3d 1760000332 dmehala/win-memfd
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 17.804µs 26.222µs ± 10.123µs 18.355µs ± 0.198µs 35.169µs 45.137µs 50.344µs 70.400µs 283.55% 0.960 0.510 38.51% 0.716µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [24.819µs; 27.625µs] or [-5.350%; +5.350%] None None None

Baseline

Omitted due to size.

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codecov-commenter commented Oct 8, 2025 •
edited
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Codecov Report

❌ Patch coverage is 0% with 11 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.80%. Comparing base (f65f27b) to head (57a4e3d).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1262      +/-   ##
==========================================
- Coverage   71.85%   71.80%   -0.05%     
==========================================
  Files         356      356              
  Lines       56685    56692       +7     
==========================================
- Hits        40731    40709      -22     
- Misses      15954    15983      +29
Components Coverage Δ
datadog-crashtracker 49.28% <ø> (-0.05%) ⬇️
datadog-crashtracker-ffi 5.93% <ø> (ø)
datadog-alloc 98.73% <ø> (ø)
data-pipeline 88.01% <ø> (ø)
data-pipeline-ffi 88.19% <ø> (ø)
ddcommon 84.54% <ø> (ø)
ddcommon-ffi 73.84% <ø> (ø)
ddtelemetry 59.49% <ø> (+0.03%) ⬆️
ddtelemetry-ffi 21.24% <ø> (ø)
dogstatsd-client 83.26% <ø> (ø)
datadog-ipc 82.39% <ø> (ø)
datadog-profiling 76.90% <ø> (ø)
datadog-profiling-ffi 62.12% <ø> (ø)
datadog-sidecar 37.01% <ø> (ø)
datdog-sidecar-ffi 11.03% <ø> (ø)
spawn-worker 55.35% <ø> (ø)
tinybytes 92.22% <ø> (ø)
datadog-trace-normalization 98.24% <ø> (ø)
datadog-trace-obfuscation 94.17% <ø> (ø)
datadog-trace-protobuf 59.65% <ø> (ø)
datadog-trace-utils 89.84% <ø> (ø)
datadog-tracer-flare 54.52% <ø> (ø)
datadog-log 76.31% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

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datadog-official bot commented Oct 8, 2025 •
edited by datadog-datadog-prod-us1 bot
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✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 57a4e3d | Docs | Was this helpful? Give us feedback!

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dd-octo-sts bot commented Oct 9, 2025 •
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 7.25 MB 7.25 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 71.31 MB 71.31 MB +0% (+1.36 KB) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 83.64 MB 83.64 MB +0% (+816 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 9.20 MB 9.20 MB +0% (+72 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 18.50 MB 18.59 MB +.47% (+90.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 65.77 KB 65.77 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 125.68 MB 126.48 MB +.64% (+824.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 656.43 MB 660.64 MB +.64% (+4.21 MB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 5.92 MB 5.93 MB +.21% (+13.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 65.77 KB 65.77 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 17.44 MB 17.52 MB +.49% (+88.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 32.40 MB 32.56 MB +.49% (+163.06 KB) 🔍
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 15.78 MB 15.85 MB +.47% (+76.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 66.79 KB 66.79 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 128.00 MB 128.86 MB +.67% (+880.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 645.48 MB 649.56 MB +.63% (+4.07 MB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 4.53 MB 4.54 MB +.22% (+10.50 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 66.79 KB 66.79 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 18.57 MB 18.66 MB +.46% (+88.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 30.42 MB 30.60 MB +.59% (+183.87 KB) 🔍
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 63.91 MB 63.91 MB +0% (+1.07 KB) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 8.55 MB 8.55 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 78.37 MB 78.37 MB +0% (+816 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 9.90 MB 9.90 MB 0% (0 B) 👌

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@dmehala @codecov-commenter