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https://github.com/XRPLF/rippled.git
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120 lines
3.4 KiB
C++
120 lines
3.4 KiB
C++
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#include <test/jtx/TestHelpers.h>
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#include <xrpld/rpc/detail/Handler.h>
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#include <xrpl/beast/unit_test/suite.h>
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#include <algorithm>
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#include <array>
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#include <cassert>
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#include <chrono>
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#include <cmath>
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#include <cstddef>
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#include <iostream>
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#include <random>
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#include <tuple>
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#include <vector>
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// cspell: words stdev
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namespace xrpl::test {
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// NOTE: there should be no need for this function;
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// `std::cout << some_duration` should just work if built with a compliant
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// C++20 compiler. Sadly, we are not using one, as of today
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// TODO: remove this operator<< overload when we bump compiler version
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std::ostream&
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operator<<(std::ostream& os, std::chrono::nanoseconds ns)
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{
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return (os << ns.count() << "ns");
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}
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// NOTE This is a rather naive effort at a microbenchmark. Ideally we want
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// Google Benchmark, or something similar. Also, this actually does not belong
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// to unit tests, as it makes little sense to run it in conditions very
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// dissimilar to how xrpld will normally work.
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// TODO as https://github.com/XRPLF/rippled/issues/4765
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class Handler_test : public beast::unit_test::Suite
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{
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auto
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time(std::size_t n, auto f, auto prng) -> auto
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{
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using clock = std::chrono::steady_clock;
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assert(n > 0);
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double sum = 0;
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double sumSquared = 0;
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std::size_t j = 0;
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while (j < n)
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{
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// Generate 100 inputs upfront, separated from the inner loop
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std::array<decltype(prng()), 100> inputs = {};
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for (auto& i : inputs)
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{
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i = prng();
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}
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// Take 100 samples, then sort and throw away 35 from each end,
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// using only middle 30. This helps to reduce measurement noise.
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std::array<long, 100> samples = {};
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for (std::size_t k = 0; k < 100; ++k)
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{
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auto start = std::chrono::steady_clock::now();
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f(inputs[k]);
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samples[k] = (std::chrono::steady_clock::now() - start).count();
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}
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std::ranges::sort(samples);
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for (std::size_t k = 35; k < 65; ++k)
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{
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j += 1;
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sum += samples[k];
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sumSquared += (samples[k] * samples[k]);
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}
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}
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double const meanSquared = (sum * sum) / (j * j);
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return std::make_tuple(
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clock::duration{static_cast<long>(sum / j)},
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clock::duration{static_cast<long>(std::sqrt((sumSquared / j) - meanSquared))},
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j);
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}
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void
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reportLookupPerformance()
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{
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testcase("Handler lookup performance");
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std::random_device dev;
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std::ranlux48 prng(dev());
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std::vector<char const*> names = test::jtx::makeVector(xrpl::RPC::getHandlerNames());
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std::uniform_int_distribution<std::size_t> distr{0, names.size() - 1};
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std::size_t dummy = 0;
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auto const [mean, stdev, n] = time(
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1'000'000,
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[&](std::size_t i) {
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auto const d = RPC::getHandler(1, false, names[i]);
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dummy = dummy + i + (int)d->role;
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},
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[&]() -> std::size_t { return distr(prng); });
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std::cout << "mean=" << mean << " stdev=" << stdev << " N=" << n << '\n';
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BEAST_EXPECT(dummy != 0);
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}
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public:
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void
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run() override
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{
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reportLookupPerformance();
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}
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};
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BEAST_DEFINE_TESTSUITE_MANUAL(Handler, rpc, xrpl);
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} // namespace xrpl::test
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