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bitcoin-bitcoin-core/src/bench/mempool_ephemeral_spends.cpp
Suhas Daftuar 7fb62f7db6 Apply mempool changeset transactions directly into the mempool
Rather than individually calling addUnchecked for each transaction added in a
changeset (after removing all the to-be-removed transactions), instead we can
take advantage of boost::multi_index's splicing features to extract and insert
entries directly from the staging multi_index into mapTx.

This has the immediate advantage of saving allocation overhead for mempool
entries which have already been allocated once. This also means that the memory
locations of mempool entries will not change when transactions go from staging
to the main mempool.

Additionally, eliminate addUnchecked and require all new transactions to enter
the mempool via a CTxMemPoolChangeSet.
2024-11-13 13:26:56 -05:00

84 lines
2.5 KiB
C++

// Copyright (c) 2011-2022 The Bitcoin Core developers
// Distributed under the MIT software license, see the accompanying
// file COPYING or http://www.opensource.org/licenses/mit-license.php.
#include <bench/bench.h>
#include <consensus/amount.h>
#include <kernel/cs_main.h>
#include <policy/ephemeral_policy.h>
#include <policy/policy.h>
#include <primitives/transaction.h>
#include <script/script.h>
#include <sync.h>
#include <test/util/setup_common.h>
#include <test/util/txmempool.h>
#include <txmempool.h>
#include <util/check.h>
#include <cstdint>
#include <memory>
#include <vector>
static void AddTx(const CTransactionRef& tx, CTxMemPool& pool) EXCLUSIVE_LOCKS_REQUIRED(cs_main, pool.cs)
{
int64_t nTime{0};
unsigned int nHeight{1};
uint64_t sequence{0};
bool spendsCoinbase{false};
unsigned int sigOpCost{4};
uint64_t fee{0};
LockPoints lp;
AddToMempool(pool, CTxMemPoolEntry(
tx, fee, nTime, nHeight, sequence,
spendsCoinbase, sigOpCost, lp));
}
static void MempoolCheckEphemeralSpends(benchmark::Bench& bench)
{
const auto testing_setup = MakeNoLogFileContext<const TestingSetup>();
int number_outputs{1000};
if (bench.complexityN() > 1) {
number_outputs = static_cast<int>(bench.complexityN());
}
// Tx with many outputs
CMutableTransaction tx1 = CMutableTransaction();
tx1.vin.resize(1);
tx1.vout.resize(number_outputs);
for (size_t i = 0; i < tx1.vout.size(); i++) {
tx1.vout[i].scriptPubKey = CScript();
// Each output progressively larger
tx1.vout[i].nValue = i * CENT;
}
const auto& parent_txid = tx1.GetHash();
// Spends all outputs of tx1, other details don't matter
CMutableTransaction tx2 = CMutableTransaction();
tx2.vin.resize(tx1.vout.size());
for (size_t i = 0; i < tx2.vin.size(); i++) {
tx2.vin[0].prevout.hash = parent_txid;
tx2.vin[0].prevout.n = i;
}
tx2.vout.resize(1);
CTxMemPool& pool = *Assert(testing_setup->m_node.mempool);
LOCK2(cs_main, pool.cs);
// Create transaction references outside the "hot loop"
const CTransactionRef tx1_r{MakeTransactionRef(tx1)};
const CTransactionRef tx2_r{MakeTransactionRef(tx2)};
AddTx(tx1_r, pool);
uint32_t iteration{0};
bench.run([&]() NO_THREAD_SAFETY_ANALYSIS {
CheckEphemeralSpends({tx2_r}, /*dust_relay_rate=*/CFeeRate(iteration * COIN / 10), pool);
iteration++;
});
}
BENCHMARK(MempoolCheckEphemeralSpends, benchmark::PriorityLevel::HIGH);