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Tinker with benchmarks. Looking at render performance

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This commit is contained in:
Andrew Noyes
2025-09-03 12:16:56 -04:00
parent 0e4c526094
commit 76193f772c
3 changed files with 118 additions and 115 deletions
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90
benchmarks/bench_metric.cpp
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@@ -156,50 +156,6 @@ int main() {
[&]() { histogram.observe(2.0); });
}
// Render performance scaling
{
// Test render performance as number of metrics increases
std::vector<metric::Counter> counters;
std::vector<metric::Gauge> gauges;
std::vector<metric::Histogram> histograms;
auto counter_family =
metric::create_counter("scale_counter", "Scale counter");
auto gauge_family = metric::create_gauge("scale_gauge", "Scale gauge");
auto histogram_family = metric::create_histogram(
"scale_histogram", "Scale histogram",
std::initializer_list<double>{0.1, 0.5, 1.0, 2.5, 5.0, 10.0, 25.0,
50.0});
// Create varying numbers of metrics
for (int scale : {10, 100, 1000}) {
// Clear previous metrics by creating new families
// (Note: In real usage, metrics persist for application lifetime)
for (int i = 0; i < scale; ++i) {
counters.emplace_back(
counter_family.create({{"id", std::to_string(i)}}));
gauges.emplace_back(gauge_family.create({{"id", std::to_string(i)}}));
histograms.emplace_back(
histogram_family.create({{"id", std::to_string(i)}}));
// Set some values
counters.back().inc(static_cast<double>(i));
gauges.back().set(static_cast<double>(i * 2));
histograms.back().observe(static_cast<double>(i) * 0.1);
}
ArenaAllocator arena;
std::string bench_name =
"render() - " + std::to_string(scale) + " metrics each type";
bench.run(bench_name, [&]() {
auto output = metric::render(arena);
ankerl::nanobench::doNotOptimizeAway(output);
arena.reset();
});
}
}
// Callback metrics performance
{
auto counter_family =
@@ -245,5 +201,51 @@ int main() {
callback_updater.join();
}
// Render performance scaling
{
bench.unit("metric");
// Test render performance as number of metrics increases
std::vector<metric::Counter> counters;
std::vector<metric::Gauge> gauges;
std::vector<metric::Histogram> histograms;
auto counter_family =
metric::create_counter("scale_counter", "Scale counter");
auto gauge_family = metric::create_gauge("scale_gauge", "Scale gauge");
auto histogram_family = metric::create_histogram(
"scale_histogram", "Scale histogram",
std::initializer_list<double>{0.1, 0.5, 1.0, 2.5, 5.0, 10.0, 25.0,
50.0});
// Create varying numbers of metrics
for (int scale : {10, 100, 1000}) {
bench.batch(scale);
// Clear previous metrics by creating new families
// (Note: In real usage, metrics persist for application lifetime)
for (int i = 0; i < scale; ++i) {
counters.emplace_back(
counter_family.create({{"id", std::to_string(i)}}));
gauges.emplace_back(gauge_family.create({{"id", std::to_string(i)}}));
histograms.emplace_back(
histogram_family.create({{"id", std::to_string(i)}}));
// Set some values
counters.back().inc(static_cast<double>(i));
gauges.back().set(static_cast<double>(i * 2));
histograms.back().observe(static_cast<double>(i) * 0.1);
}
ArenaAllocator arena;
std::string bench_name =
"render() - " + std::to_string(scale) + " metrics each type";
bench.run(bench_name, [&]() {
auto output = metric::render(arena);
ankerl::nanobench::doNotOptimizeAway(output);
arena.reset();
});
}
}
return 0;
}