checkqueue.cpp

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// Copyright (c) 2015 The Bitcoin Core developers
// Copyright (c) 2017-2019 The Raven Core developers
// Distributed under the MIT software license, see the accompanying
// file COPYING or http://www.opensource.org/licenses/mit-license.php.

#include "bench.h"
#include "util.h"
#include "validation.h"
#include "checkqueue.h"
#include "prevector.h"
#include <vector>
#include <boost/thread/thread.hpp>
#include "random.h"


// This Benchmark tests the CheckQueue with the lightest
// weight Checks, so it should make any lock contention
// particularly visible
static const int MIN_CORES = 2;
static const size_t BATCHES = 101;
static const size_t BATCH_SIZE = 30;
static const int PREVECTOR_SIZE = 28;
static const int QUEUE_BATCH_SIZE = 128;
static void CCheckQueueSpeed(benchmark::State& state)
{
    struct FakeJobNoWork {
        bool operator()()
        {
            return true;
        }
        void swap(FakeJobNoWork& x){};
    };
    CCheckQueue<FakeJobNoWork> queue {QUEUE_BATCH_SIZE};
    boost::thread_group tg;
    for (auto x = 0; x < std::max(MIN_CORES, GetNumCores()); ++x) {
       tg.create_thread([&]{queue.Thread();});
    }
    while (state.KeepRunning()) {
        CCheckQueueControl<FakeJobNoWork> control(&queue);

        // We call Add a number of times to simulate the behavior of adding
        // a block of transactions at once.

        std::vector<std::vector<FakeJobNoWork>> vBatches(BATCHES);
        for (auto& vChecks : vBatches) {
            vChecks.resize(BATCH_SIZE);
        }
        for (auto& vChecks : vBatches) {
            // We can't make vChecks in the inner loop because we want to measure
            // the cost of getting the memory to each thread and we might get the same
            // memory
            control.Add(vChecks);
        }
        // control waits for completion by RAII, but
        // it is done explicitly here for clarity
        control.Wait();
    }
    tg.interrupt_all();
    tg.join_all();
}

// This Benchmark tests the CheckQueue with a slightly realistic workload,
// where checks all contain a prevector that is indirect 50% of the time
// and there is a little bit of work done between calls to Add.
static void CCheckQueueSpeedPrevectorJob(benchmark::State& state)
{
    struct PrevectorJob {
        prevector<PREVECTOR_SIZE, uint8_t> p;
        PrevectorJob(){
        }
        explicit PrevectorJob(FastRandomContext& insecure_rand){
            p.resize(insecure_rand.randrange(PREVECTOR_SIZE*2));
        }
        bool operator()()
        {
            return true;
        }
        void swap(PrevectorJob& x){p.swap(x.p);};
    };
    CCheckQueue<PrevectorJob> queue {QUEUE_BATCH_SIZE};
    boost::thread_group tg;
    for (auto x = 0; x < std::max(MIN_CORES, GetNumCores()); ++x) {
       tg.create_thread([&]{queue.Thread();});
    }
    while (state.KeepRunning()) {
        // Make insecure_rand here so that each iteration is identical.
        FastRandomContext insecure_rand(true);
        CCheckQueueControl<PrevectorJob> control(&queue);
        std::vector<std::vector<PrevectorJob>> vBatches(BATCHES);
        for (auto& vChecks : vBatches) {
            vChecks.reserve(BATCH_SIZE);
            for (size_t x = 0; x < BATCH_SIZE; ++x)
                vChecks.emplace_back(insecure_rand);
            control.Add(vChecks);
        }
        // control waits for completion by RAII, but
        // it is done explicitly here for clarity
        control.Wait();
    }
    tg.interrupt_all();
    tg.join_all();
}
BENCHMARK(CCheckQueueSpeed);
BENCHMARK(CCheckQueueSpeedPrevectorJob);