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ton/crypto/test/test-db.cpp
initial commit c2da007f40 initial commit
2019-09-07 14:33:36 +04:00

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/*
This file is part of TON Blockchain Library.
TON Blockchain Library is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published by
the Free Software Foundation, either version 2 of the License, or
(at your option) any later version.
TON Blockchain Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License
along with TON Blockchain Library. If not, see <http://www.gnu.org/licenses/>.
Copyright 2017-2019 Telegram Systems LLP
*/
#include "vm/boc.h"
#include "vm/cellslice.h"
#include "vm/cells.h"
#include "common/AtomicRef.h"
#include "vm/cells/MerkleProof.h"
#include "vm/cells/MerkleUpdate.h"
#include "vm/db/BlobView.h"
#include "vm/db/CellStorage.h"
#include "vm/db/CellHashTable.h"
#include "vm/db/TonDb.h"
#include "vm/db/StaticBagOfCellsDb.h"
#include "td/utils/base64.h"
#include "td/utils/benchmark.h"
#include "td/utils/crypto.h"
#include "td/utils/Random.h"
#include "td/utils/Slice.h"
#include "td/utils/Status.h"
#include "td/utils/Timer.h"
#include "td/utils/filesystem.h"
#include "td/utils/port/path.h"
#include "td/utils/format.h"
#include "td/utils/misc.h"
#include "td/utils/tests.h"
#include "td/utils/tl_parsers.h"
#include "td/utils/tl_helpers.h"
#include "td/db/RocksDb.h"
#include "td/db/MemoryKeyValue.h"
#include <set>
#include <map>
#include <openssl/sha.h>
struct Step {
std::function<void()> func;
td::uint32 weight;
};
class RandomSteps {
public:
RandomSteps(std::vector<Step> steps) : steps_(std::move(steps)) {
for (auto &step : steps_) {
steps_sum_ += step.weight;
}
}
template <class Random>
void step(Random &rnd) {
auto w = rnd() % steps_sum_;
for (auto &step : steps_) {
if (w < step.weight) {
step.func();
break;
}
w -= step.weight;
}
}
private:
std::vector<Step> steps_;
td::int32 steps_sum_ = 0;
};
namespace vm {
std::vector<int> do_get_serialization_modes() {
std::vector<int> res;
for (int i = 0; i < 32; i++) {
if ((i & BagOfCells::Mode::WithCacheBits) && !(i & BagOfCells::Mode::WithIndex)) {
continue;
}
res.push_back(i);
}
return res;
}
const std::vector<int> &get_serialization_modes() {
static auto modes = do_get_serialization_modes();
return modes;
}
template <class T>
int get_random_serialization_mode(T &rnd) {
auto &modes = get_serialization_modes();
return modes[rnd.fast(0, (int)modes.size() - 1)];
}
class BenchSha256 : public td::Benchmark {
public:
std::string get_description() const override {
return "SHA256";
}
void run(int n) override {
int res = 0;
for (int i = 0; i < n; i++) {
digest::SHA256 hasher;
hasher.feed("abcd", 4);
unsigned char buf[32];
hasher.extract(buf);
res += buf[0];
}
td::do_not_optimize_away(res);
}
};
class BenchSha256Reuse : public td::Benchmark {
public:
std::string get_description() const override {
return "SHA256 reuse";
}
void run(int n) override {
int res = 0;
digest::SHA256 hasher;
for (int i = 0; i < n; i++) {
hasher.reset();
hasher.feed("abcd", 4);
unsigned char buf[32];
hasher.extract(buf);
res += buf[0];
}
td::do_not_optimize_away(res);
}
};
class BenchSha256Low : public td::Benchmark {
public:
std::string get_description() const override {
return "SHA256 low level";
}
void run(int n) override {
int res = 0;
SHA256_CTX ctx;
for (int i = 0; i < n; i++) {
SHA256_Init(&ctx);
SHA256_Update(&ctx, "abcd", 4);
unsigned char buf[32];
SHA256_Final(buf, &ctx);
res += buf[0];
}
td::do_not_optimize_away(res);
}
};
class BenchSha256Tdlib : public td::Benchmark {
public:
std::string get_description() const override {
return "SHA256 TDLib";
}
void run(int n) override {
int res = 0;
static TD_THREAD_LOCAL td::Sha256State *ctx;
for (int i = 0; i < n; i++) {
td::init_thread_local<td::Sha256State>(ctx);
ctx->init();
ctx->feed("abcd");
unsigned char buf[32];
ctx->extract(td::MutableSlice(buf, 32), false);
res += buf[0];
}
td::do_not_optimize_away(res);
}
};
TEST(Cell, sha_benchmark) {
bench(BenchSha256Tdlib());
bench(BenchSha256Low());
bench(BenchSha256Reuse());
bench(BenchSha256());
}
std::string serialize_boc(Ref<Cell> cell, int mode = 31) {
CHECK(cell.not_null());
vm::BagOfCells boc;
boc.add_root(std::move(cell));
boc.import_cells().ensure();
auto res = boc.serialize_to_string(mode);
CHECK(res.size() != 0);
return res;
}
std::string serialize_boc(td::Span<Ref<Cell>> cells, int mode = 31) {
CHECK(!cells.empty());
vm::BagOfCells boc;
for (auto cell : cells) {
boc.add_root(std::move(cell));
}
boc.import_cells().ensure();
auto res = boc.serialize_to_string(mode);
CHECK(res.size() != 0);
return res;
}
Ref<Cell> deserialize_boc(td::Slice serialized) {
vm::BagOfCells boc;
boc.deserialize(serialized).ensure();
return boc.get_root_cell();
}
std::vector<Ref<Cell>> deserialize_boc_multiple(td::Slice serialized) {
vm::BagOfCells boc;
boc.deserialize(serialized).ensure();
std::vector<Ref<Cell>> res;
for (int i = 0; i < boc.get_root_count(); i++) {
res.push_back(boc.get_root_cell(i));
}
return res;
}
class CellExplorer {
public:
struct Op {
enum { Pop, ReadCellSlice } type;
bool should_load;
int children_mask;
};
struct Exploration {
std::vector<Op> ops;
std::string log;
std::set<Cell::Hash> visited;
std::vector<Ref<Cell>> visited_cells;
};
static Exploration explore(Ref<Cell> root, std::vector<Op> ops) {
CellExplorer e(root);
for (auto op : ops) {
e.do_op(op);
}
return e.get_exploration();
}
template <class T>
static Exploration random_explore(Ref<Cell> root, T &rnd) {
CellExplorer e(root);
int it = 0;
int cnt = rnd.fast(1, 100);
while (it++ < cnt && e.do_random_op(rnd)) {
}
return e.get_exploration();
}
private:
CellExplorer(Ref<Cell> root) {
if (root.not_null()) {
cells_.push_back(std::move(root));
}
}
std::vector<Ref<Cell>> cells_;
Ref<CellSlice> cs_;
std::vector<Op> ops_;
std::set<Cell::Hash> visited_;
std::map<Cell::Hash, Ref<Cell>> visited_cells_;
td::StringBuilder log_{{}, true};
void do_op(Op op) {
ops_.push_back(op);
log_op(op);
switch (op.type) {
case op.Pop: {
CHECK(!cells_.empty());
CHECK(cs_.is_null());
auto cell = std::move(cells_.back());
cells_.pop_back();
visited_cells_.emplace(cell->get_hash(), cell);
log_cell(cell);
if (op.should_load) {
log_loaded_cell(cell);
visited_.insert(cell->get_hash());
// It is ok to visit the same vertex multiple times
cs_ = Ref<CellSlice>{true, NoVm(), std::move(cell)};
}
break;
}
case op.ReadCellSlice: {
CHECK(cs_.not_null());
log_cell_slice(cs_);
for (unsigned i = 0; i < cs_->size_refs(); i++) {
if ((op.children_mask >> i) % 2 != 0) {
cells_.push_back(cs_->prefetch_ref(i));
}
}
cs_ = {};
break;
}
}
}
template <class T>
bool do_random_op(T &rnd) {
if (cs_.not_null()) {
int children_mask = 0;
if (cs_->size_refs() != 0 && rnd.fast(0, 3) != 0) {
//children_mask = rnd.fast(1, (1 << cs_->size_refs()) - 1);
children_mask = (1 << cs_->size_refs()) - 1;
}
do_op({Op::ReadCellSlice, false, children_mask});
return true;
}
if (!cells_.empty()) {
do_op({Op::Pop, rnd.fast(0, 30) != 0, 0});
return true;
}
return false;
}
Exploration get_exploration() {
std::vector<Ref<Cell>> visited_cells;
for (auto &it : visited_cells_) {
visited_cells.push_back(it.second);
}
return {std::move(ops_), log_.as_cslice().str(), std::move(visited_), std::move(visited_cells)};
}
void log_op(Op op) {
switch (op.type) {
case op.Pop:
log_ << "pop" << (op.should_load ? " and load" : "") << "\n";
break;
case op.ReadCellSlice:
log_ << "read slice " << op.children_mask << "\n";
break;
}
}
void log_cell(const Ref<Cell> &cell) {
log_ << cell->get_level_mask().get_mask() << " " << cell->get_hash() << "\n";
}
void log_loaded_cell(const Ref<Cell> &cell) {
log_ << "depth: ";
for (unsigned i = 0; i <= cell->get_level(); i++) {
log_ << cell->get_depth(i) << " ";
}
log_ << "\n";
}
void log_cell_slice(const Ref<CellSlice> &cs) {
log_ << cs->special_type() << " " << cs->size() << " " << cs->size_refs() << " "
<< td::bitstring::bits_to_hex(cs->data_bits(), cs->size()) << "\n";
}
};
class RandomBagOfCells {
public:
template <class T>
RandomBagOfCells(size_t size, T &rnd, bool with_prunned_branches, std::vector<Ref<Cell>> cells) {
std::map<CellHash, int> depth;
for (auto &cell : cells) {
nodes_.emplace_back(cell, calc_depth(cell, depth));
}
for (size_t i = 0; i < size; i++) {
add_random_cell(rnd, with_prunned_branches);
}
}
Ref<Cell> get_root() {
CHECK(!nodes_.empty());
// Fix root to be zero level
while (nodes_.back().cell->get_level() != 0) {
nodes_.emplace_back(CellBuilder::create_merkle_proof(nodes_.back().cell), nodes_.back().merkle_depth + 1);
}
return nodes_.back().cell;
}
template <class T>
std::vector<Ref<Cell>> get_random_roots(size_t size, T &rnd) {
CHECK(!nodes_.empty());
std::vector<Ref<Cell>> res(size);
for (auto &c : res) {
c = nodes_[rnd.fast(0, static_cast<int>(nodes_.size()) - 1)].cell;
}
return res;
}
size_t get_size() const {
return nodes_.size();
}
template <class T>
void add_random_cell(T &rnd, bool with_prunned_branches = true) {
int cnt = 0;
while (true) {
CellBuilder cb;
int next_cnt = rnd.fast(0, Cell::max_refs);
int merkle_depth = 0;
for (int j = 0; j < next_cnt && !nodes_.empty(); j++) {
int to = rnd.fast(j == 0 && nodes_.size() > 3 ? (int)nodes_.size() - 3 : 0, (int)nodes_.size() - 1);
merkle_depth = td::max(merkle_depth, nodes_.at(to).merkle_depth);
cb.store_ref(nodes_[to].cell);
}
int size = rnd.fast(0, 4);
for (int j = 0; j < size; j++) {
cb.store_bytes(&"ab"[rnd.fast(0, 1)], 1);
}
if (rnd.fast(0, 4) == 4) {
cb.store_bits(rnd.fast(0, 1) ? "\xff" : "\x55", rnd.fast(1, 7));
}
Ref<Cell> cell = cb.finalize();
auto cell_level = cell->get_level();
if (with_prunned_branches) {
if (rnd.fast(0, 5) == 0 && cell_level + 1 < Cell::max_level) {
cell = CellBuilder::create_pruned_branch(std::move(cell), cell_level + 1);
}
if (merkle_depth + 1 + cell->get_level() < Cell::max_level && rnd.fast(0, 10) == 0) {
cell = CellBuilder::create_merkle_proof(std::move(cell));
merkle_depth++;
}
}
if (merkle_depth + cell->get_level() >= Cell::max_level) {
cnt++;
CHECK(cnt < 1000);
continue;
}
CHECK(cell.not_null());
nodes_.emplace_back(std::move(cell), merkle_depth);
break;
}
}
private:
struct Node {
Node() = default;
Node(Ref<Cell> cell, int merkle_depth) : cell(std::move(cell)), merkle_depth(merkle_depth) {
}
Ref<Cell> cell;
int merkle_depth;
};
std::vector<Node> nodes_;
auto calc_depth(const Ref<Cell> &root, std::map<CellHash, int> &depth) -> int {
auto it_flag = depth.emplace(root->get_hash(), 0);
if (!it_flag.second) {
return it_flag.first->second;
}
auto res = 0;
CellSlice cs(NoVm(), root);
for (unsigned i = 0; i < cs.size_refs(); i++) {
res = std::max(res, calc_depth(cs.prefetch_ref(i), depth));
}
if (cs.special_type() == Cell::SpecialType::MerkleProof) {
res++;
}
depth[root->get_hash()] = res;
return res;
};
};
template <class T>
void random_shuffle(td::MutableSpan<T> v, td::Random::Xorshift128plus &rnd) {
for (std::size_t i = 1; i < v.size(); i++) {
auto pos = static_cast<std::size_t>(rnd() % (i + 1));
std::swap(v[i], v[pos]);
}
}
Ref<Cell> gen_random_cell(int size, td::Random::Xorshift128plus &rnd, bool with_prunned_branches = true,
std::vector<Ref<Cell>> cells = {}) {
if (!cells.empty()) {
random_shuffle(td::MutableSpan<Ref<Cell>>(cells), rnd);
cells.resize(cells.size() % rnd());
}
return RandomBagOfCells(size, rnd, with_prunned_branches, std::move(cells)).get_root();
}
std::vector<Ref<Cell>> gen_random_cells(int roots, int size, td::Random::Xorshift128plus &rnd,
bool with_prunned_branches = true, std::vector<Ref<Cell>> cells = {}) {
if (!cells.empty()) {
random_shuffle(td::MutableSpan<Ref<Cell>>(cells), rnd);
cells.resize(cells.size() % rnd());
}
return RandomBagOfCells(size, rnd, with_prunned_branches, std::move(cells)).get_random_roots(roots, rnd);
}
TEST(Cell, MerkleProof) {
td::Random::Xorshift128plus rnd{123};
for (int t = 0; t < 1000; t++) {
bool with_prunned_branches = true;
auto cell = gen_random_cell(rnd.fast(1, 1000), rnd, with_prunned_branches);
auto exploration = CellExplorer::random_explore(cell, rnd);
auto usage_tree = std::make_shared<CellUsageTree>();
auto usage_cell = UsageCell::create(cell, usage_tree->root_ptr());
auto exploration2 = CellExplorer::explore(usage_cell, exploration.ops);
ASSERT_EQ(exploration.log, exploration2.log);
auto is_prunned = [&](const Ref<Cell> &cell) { return exploration.visited.count(cell->get_hash()) == 0; };
auto proof = MerkleProof::generate(cell, is_prunned);
// CellBuilder::virtualize(proof, 1);
//ASSERT_EQ(1u, proof->get_level());
auto virtualized_proof = MerkleProof::virtualize(proof, 1);
auto exploration3 = CellExplorer::explore(virtualized_proof, exploration.ops);
ASSERT_EQ(exploration.log, exploration3.log);
auto proof2 = MerkleProof::generate(cell, usage_tree.get());
CHECK(proof2->get_depth() == proof->get_depth());
auto virtualized_proof2 = MerkleProof::virtualize(proof2, 1);
auto exploration4 = CellExplorer::explore(virtualized_proof2, exploration.ops);
ASSERT_EQ(exploration.log, exploration4.log);
}
};
TEST(Cell, MerkleProofCombine) {
td::Random::Xorshift128plus rnd{123};
for (int t = 0; t < 1000; t++) {
bool with_prunned_branches = true;
auto cell = gen_random_cell(rnd.fast(1, 1000), rnd, with_prunned_branches);
auto exploration1 = CellExplorer::random_explore(cell, rnd);
auto exploration2 = CellExplorer::random_explore(cell, rnd);
Ref<Cell> proof1;
{
auto usage_tree = std::make_shared<CellUsageTree>();
auto usage_cell = UsageCell::create(cell, usage_tree->root_ptr());
CellExplorer::explore(usage_cell, exploration1.ops);
proof1 = MerkleProof::generate(cell, usage_tree.get());
auto virtualized_proof = MerkleProof::virtualize(proof1, 1);
auto exploration = CellExplorer::explore(virtualized_proof, exploration1.ops);
ASSERT_EQ(exploration.log, exploration1.log);
}
Ref<Cell> proof2;
{
auto usage_tree = std::make_shared<CellUsageTree>();
auto usage_cell = UsageCell::create(cell, usage_tree->root_ptr());
CellExplorer::explore(usage_cell, exploration2.ops);
proof2 = MerkleProof::generate(cell, usage_tree.get());
auto virtualized_proof = MerkleProof::virtualize(proof2, 1);
auto exploration = CellExplorer::explore(virtualized_proof, exploration2.ops);
ASSERT_EQ(exploration.log, exploration2.log);
}
Ref<Cell> proof12;
{
auto usage_tree = std::make_shared<CellUsageTree>();
auto usage_cell = UsageCell::create(cell, usage_tree->root_ptr());
CellExplorer::explore(usage_cell, exploration1.ops);
CellExplorer::explore(usage_cell, exploration2.ops);
proof12 = MerkleProof::generate(cell, usage_tree.get());
auto virtualized_proof = MerkleProof::virtualize(proof12, 1);
auto exploration_a = CellExplorer::explore(virtualized_proof, exploration1.ops);
auto exploration_b = CellExplorer::explore(virtualized_proof, exploration2.ops);
ASSERT_EQ(exploration_a.log, exploration1.log);
ASSERT_EQ(exploration_b.log, exploration2.log);
}
Ref<Cell> proof_union;
{
proof_union = MerkleProof::combine(proof1, proof2);
ASSERT_EQ(proof_union->get_hash(), proof12->get_hash());
auto virtualized_proof = MerkleProof::virtualize(proof_union, 1);
auto exploration_a = CellExplorer::explore(virtualized_proof, exploration1.ops);
auto exploration_b = CellExplorer::explore(virtualized_proof, exploration2.ops);
ASSERT_EQ(exploration_a.log, exploration1.log);
ASSERT_EQ(exploration_b.log, exploration2.log);
}
{
auto cell = MerkleProof::virtualize(proof12, 1);
auto usage_tree = std::make_shared<CellUsageTree>();
auto usage_cell = UsageCell::create(cell, usage_tree->root_ptr());
CellExplorer::explore(usage_cell, exploration1.ops);
auto proof = MerkleProof::generate(cell, usage_tree.get());
auto virtualized_proof = MerkleProof::virtualize(proof, 2);
auto exploration = CellExplorer::explore(virtualized_proof, exploration1.ops);
ASSERT_EQ(exploration.log, exploration1.log);
if (proof->get_hash() != proof1->get_hash()) {
CellSlice(NoVm(), proof12).print_rec(std::cerr);
CellSlice(NoVm(), proof).print_rec(std::cerr);
CellSlice(NoVm(), proof1).print_rec(std::cerr);
LOG(ERROR) << proof->get_level() << " " << proof->get_hash().to_hex();
LOG(ERROR) << proof->get_level() << " " << proof1->get_hash().to_hex();
LOG(FATAL) << "?";
}
}
}
};
int X = 20;
Ref<Cell> gen_random_cell(int size, Ref<Cell> from, td::Random::Xorshift128plus &rnd,
bool with_prunned_branches = true) {
auto exploration = CellExplorer::random_explore(from, rnd);
return gen_random_cell(size, rnd, with_prunned_branches, std::move(exploration.visited_cells));
}
auto gen_merkle_update(Ref<Cell> cell, td::Random::Xorshift128plus &rnd, bool with_prunned_branches) {
auto usage_tree = std::make_shared<CellUsageTree>();
auto usage_cell = UsageCell::create(cell, usage_tree->root_ptr());
auto new_cell = gen_random_cell(rnd.fast(1, X), usage_cell, rnd, with_prunned_branches);
auto update = MerkleUpdate::generate(cell, new_cell, usage_tree.get());
return std::make_tuple(new_cell, update, usage_tree);
};
void check_merkle_update(Ref<Cell> A, Ref<Cell> B, Ref<Cell> AB) {
CHECK(AB.not_null());
CHECK(A.not_null());
MerkleUpdate::may_apply(A, AB).ensure();
MerkleUpdate::validate(AB).ensure();
auto got_B = MerkleUpdate::apply(A, AB);
ASSERT_EQ(B->get_hash(), got_B->get_hash());
};
TEST(Cell, MerkleUpdate) {
td::Random::Xorshift128plus rnd{123};
for (int t = 0; t < 1000; t++) {
bool with_prunned_branches = true;
auto A = gen_random_cell(rnd.fast(1, 1000), rnd, with_prunned_branches);
Ref<Cell> B;
Ref<Cell> AB;
std::tie(B, AB, std::ignore) = gen_merkle_update(A, rnd, with_prunned_branches);
check_merkle_update(A, B, AB);
}
};
TEST(Cell, MerkleUpdateCombine) {
td::Random::Xorshift128plus rnd{123};
for (int t = 0; t < 1000; t++) {
bool with_prunned_branches = true;
auto A = gen_random_cell(rnd.fast(1, X), rnd, with_prunned_branches);
Ref<Cell> B;
Ref<Cell> AB;
std::tie(B, AB, std::ignore) = gen_merkle_update(A, rnd, with_prunned_branches);
check_merkle_update(A, B, AB);
Ref<Cell> C;
Ref<Cell> BC;
std::tie(C, BC, std::ignore) = gen_merkle_update(B, rnd, with_prunned_branches);
check_merkle_update(B, C, BC);
check_merkle_update(A, C, MerkleUpdate::combine(AB, BC));
}
};
class BenchCellBuilder : public td::Benchmark {
public:
std::string get_description() const override {
return "BenchCellBuilder";
}
void run(int n) override {
td::Random::Xorshift128plus rnd(123);
std::string data(128, ' ');
for (auto &c : data) {
c = static_cast<char>(rnd());
}
for (int i = 0; i < n; i++) {
CellBuilder cb;
cb.store_bytes(data.data(), rnd() & 127);
cb.finalize(false);
}
}
};
TEST(TonDb, BenchCellBuilder) {
td::bench(BenchCellBuilder());
}
class BenchCellBuilder2 : public td::Benchmark {
public:
std::string get_description() const override {
return "BenchCellBuilder";
}
void run(int n) override {
td::Random::Xorshift128plus rnd(123);
for (int i = 0; i < n; i++) {
gen_random_cell(rnd.fast(1, 1000), rnd);
}
}
};
TEST(TonDb, BenchCellBuilder2) {
td::bench(BenchCellBuilder2());
}
class BenchCellBuilder3 : public td::Benchmark {
public:
std::string get_description() const override {
return "BenchCellBuilder";
}
void run(int n) override {
td::Random::Xorshift128plus rnd(123);
for (int i = 0; i < n; i++) {
auto cell = gen_random_cell(rnd.fast(1, 1000), rnd, false);
auto cell_hash = cell->get_hash().to_hex();
int mode = get_random_serialization_mode(rnd);
auto serialized = serialize_boc(std::move(cell), mode);
CHECK(serialized.size() != 0);
auto loaded_cell = deserialize_boc(serialized);
ASSERT_EQ(cell_hash, loaded_cell->get_hash().to_hex());
auto new_serialized = serialize_boc(std::move(loaded_cell), mode);
ASSERT_EQ(serialized, new_serialized);
}
}
};
TEST(TonDb, BenchCellBuilder3) {
td::bench(BenchCellBuilder3());
}
TEST(TonDb, Boc) {
td::Random::Xorshift128plus rnd{123};
for (int t = 0; t < 1000; t++) {
auto cell = gen_random_cell(rnd.fast(1, 1000), rnd);
auto cell_hash = cell->get_hash();
auto mode = get_random_serialization_mode(rnd);
auto serialized = serialize_boc(std::move(cell), mode);
CHECK(serialized.size() != 0);
auto loaded_cell = deserialize_boc(serialized);
ASSERT_EQ(cell_hash, loaded_cell->get_hash());
auto new_serialized = serialize_boc(std::move(loaded_cell), mode);
ASSERT_EQ(serialized, new_serialized);
}
};
TEST(TonDb, BocMultipleRoots) {
td::Random::Xorshift128plus rnd{123};
for (int t = 0; t < 200; t++) {
auto cells = gen_random_cells(rnd.fast(1, 10), rnd.fast(1, 1000), rnd);
std::vector<Cell::Hash> cell_hashes;
for (size_t i = 0; i < cells.size(); i++) {
cell_hashes.push_back(cells[i]->get_hash());
}
auto mode = get_random_serialization_mode(rnd);
auto serialized = serialize_boc(cells, mode);
CHECK(serialized.size() != 0);
auto loaded_cells = deserialize_boc_multiple(serialized);
ASSERT_EQ(cell_hashes.size(), loaded_cells.size());
for (size_t i = 0; i < cell_hashes.size(); i++) {
ASSERT_EQ(cell_hashes[i], loaded_cells[i]->get_hash());
}
auto new_serialized = serialize_boc(std::move(loaded_cells), mode);
ASSERT_EQ(serialized, new_serialized);
}
};
TEST(TonDb, DynamicBoc) {
td::Random::Xorshift128plus rnd{123};
std::string old_root_hash;
std::string old_root_serialization;
auto kv = std::make_shared<td::MemoryKeyValue>();
auto dboc = DynamicBagOfCellsDb::create();
dboc->set_loader(std::make_unique<CellLoader>(kv));
for (int t = 1000; t >= 0; t--) {
if (rnd() % 10 == 0) {
dboc = DynamicBagOfCellsDb::create();
}
dboc->set_loader(std::make_unique<CellLoader>(kv));
Ref<Cell> old_root;
if (!old_root_hash.empty()) {
old_root = dboc->load_cell(old_root_hash).move_as_ok();
auto serialization = serialize_boc(old_root);
ASSERT_EQ(old_root_serialization, serialization);
}
auto cell = gen_random_cell(rnd.fast(1, 1000), rnd);
old_root_hash = cell->get_hash().as_slice().str();
old_root_serialization = serialize_boc(cell);
// Check that DynamicBagOfCells properly loads cells
cell = vm::StaticBagOfCellsDbLazy::create(vm::BufferSliceBlobView::create(td::BufferSlice(old_root_serialization)))
.move_as_ok()
->get_root_cell(0)
.move_as_ok();
dboc->dec(old_root);
if (t != 0) {
dboc->inc(cell);
}
dboc->prepare_commit();
{
CellStorer cell_storer(*kv);
dboc->commit(cell_storer);
}
}
ASSERT_EQ(0u, kv->count("").ok());
};
TEST(TonDb, DynamicBoc2) {
int VERBOSITY_NAME(boc) = VERBOSITY_NAME(DEBUG) + 10;
td::Random::Xorshift128plus rnd{123};
int total_roots = 10000;
int max_roots = 20;
std::vector<std::string> root_hashes(max_roots);
std::vector<Ref<Cell>> roots(max_roots);
int last_commit_at = 0;
int first_root_id = 0;
int last_root_id = 0;
auto kv = std::make_shared<td::MemoryKeyValue>();
auto dboc = DynamicBagOfCellsDb::create();
dboc->set_loader(std::make_unique<CellLoader>(kv));
auto add_root = [&](Ref<Cell> root) {
dboc->inc(root);
root_hashes[last_root_id % max_roots] = (root->get_hash().as_slice().str());
roots[last_root_id % max_roots] = root;
last_root_id++;
};
auto get_root = [&](int root_id) {
VLOG(boc) << " from older root #" << root_id;
auto from_root = roots[root_id % max_roots];
if (from_root.is_null()) {
VLOG(boc) << " from db";
auto from_root_hash = root_hashes[root_id % max_roots];
from_root = dboc->load_cell(from_root_hash).move_as_ok();
} else {
VLOG(boc) << "FROM MEMORY";
}
return from_root;
};
auto new_root = [&] {
if (last_root_id == total_roots) {
return;
}
if (last_root_id - first_root_id >= max_roots) {
return;
}
VLOG(boc) << "add root";
Ref<Cell> from_root;
if (first_root_id != last_root_id) {
from_root = get_root(rnd.fast(first_root_id, last_root_id - 1));
}
VLOG(boc) << " ...";
add_root(gen_random_cell(rnd.fast(1, 20), from_root, rnd));
VLOG(boc) << " OK";
};
auto commit = [&] {
VLOG(boc) << "commit";
dboc->prepare_commit();
{
CellStorer cell_storer(*kv);
dboc->commit(cell_storer);
}
dboc->set_loader(std::make_unique<CellLoader>(kv));
for (int i = last_commit_at; i < last_root_id; i++) {
roots[i % max_roots].clear();
}
last_commit_at = last_root_id;
};
auto reset = [&] {
VLOG(boc) << "reset";
commit();
dboc = DynamicBagOfCellsDb::create();
dboc->set_loader(std::make_unique<CellLoader>(kv));
};
auto delete_root = [&] {
VLOG(boc) << "Delete root";
if (first_root_id == last_root_id) {
return;
}
dboc->dec(get_root(first_root_id));
first_root_id++;
VLOG(boc) << " OK";
};
RandomSteps steps({{new_root, 10}, {delete_root, 9}, {commit, 2}, {reset, 1}});
while (first_root_id != total_roots) {
VLOG(boc) << first_root_id << " " << last_root_id << " " << kv->count("").ok();
steps.step(rnd);
}
commit();
ASSERT_EQ(0u, kv->count("").ok());
}
template <class BocDeserializerT>
td::Status test_boc_deserializer(std::vector<Ref<Cell>> cells, int mode) {
auto total_data_cells_before = vm::DataCell::get_total_data_cells();
SCOPE_EXIT {
auto total_data_cells_after = vm::DataCell::get_total_data_cells();
ASSERT_EQ(total_data_cells_before, total_data_cells_after);
};
auto serialized = serialize_boc(cells, mode);
CHECK(serialized.size() != 0);
TRY_RESULT(boc_deserializer, BocDeserializerT::create(serialized));
TRY_RESULT(root_count, boc_deserializer->get_root_count());
ASSERT_EQ(cells.size(), root_count);
std::vector<Ref<Cell>> loaded_cells;
for (size_t root_i = 0; root_i < root_count; root_i++) {
TRY_RESULT(loaded_cell, boc_deserializer->get_root_cell(root_i));
auto cell = cells[root_i];
ASSERT_EQ(cell->get_level(), loaded_cell->get_level());
for (int i = 0; i <= (int)cell->get_level(); i++) {
ASSERT_EQ(cell->get_hash(i), loaded_cell->get_hash(i));
}
ASSERT_EQ(loaded_cell->get_hash(cell->get_level()), loaded_cell->get_hash());
loaded_cells.push_back(std::move(loaded_cell));
}
auto new_serialized = serialize_boc(std::move(loaded_cells), mode);
ASSERT_EQ(serialized, new_serialized);
return td::Status::OK();
}
template <class BocDeserializerT>
td::Status test_boc_deserializer_threads(Ref<Cell> cell, int mode, td::Random::Xorshift128plus &rnd,
size_t threads_n = 4) {
auto serialized = serialize_boc(cell, mode);
CHECK(serialized.size() != 0);
std::vector<CellExplorer::Exploration> explorations;
for (size_t i = 0; i < threads_n; i++) {
explorations.push_back(CellExplorer::random_explore(cell, rnd));
}
TRY_RESULT(boc_deserializer, BocDeserializerT::create(serialized));
TRY_RESULT(root_count, boc_deserializer->get_root_count());
ASSERT_EQ(1u, root_count);
TRY_RESULT(loaded_cell, boc_deserializer->get_root_cell(0));
std::vector<td::thread> threads;
for (auto &exploration : explorations) {
threads.emplace_back([&] {
auto exploration2 = CellExplorer::explore(loaded_cell, exploration.ops);
ASSERT_EQ(exploration.log, exploration2.log);
});
}
for (auto &thread : threads) {
thread.join();
}
return td::Status::OK();
}
td::Status test_boc_deserializer_full(std::vector<Ref<Cell>> cells) {
for (auto mode : get_serialization_modes()) {
TRY_STATUS(vm::test_boc_deserializer<vm::StaticBagOfCellsDbBaseline>(cells, mode));
TRY_STATUS(vm::test_boc_deserializer<vm::StaticBagOfCellsDbLazy>(cells, mode));
}
return td::Status::OK();
}
td::Status test_boc_deserializer_full(Ref<Cell> cell) {
return test_boc_deserializer_full(std::vector<Ref<Cell>>{std::move(cell)});
}
template <class BocDeserializerT>
void test_boc_deserializer() {
td::Random::Xorshift128plus rnd{123};
for (int t = 0; t < 1000; t++) {
auto cells = gen_random_cells(rnd.fast(1, 10), static_cast<int>(rnd() % 1000 + 1), rnd);
for (auto mode : get_serialization_modes()) {
test_boc_deserializer<BocDeserializerT>(cells, mode).ensure();
}
}
}
TEST(TonDb, BocDeserializerBaseline) {
test_boc_deserializer<StaticBagOfCellsDbBaseline>();
}
TEST(TonDb, BocDeserializerSimple) {
test_boc_deserializer<StaticBagOfCellsDbLazy>();
}
template <class BocDeserializerT>
void test_boc_deserializer_threads() {
td::Random::Xorshift128plus rnd{123};
for (int t = 0; t < 20; t++) {
auto cell = gen_random_cell(static_cast<int>(rnd() % 1000 + 1), rnd);
for (auto mode : get_serialization_modes()) {
test_boc_deserializer_threads<BocDeserializerT>(cell, mode, rnd).ensure();
}
}
}
TEST(TonDb, BocDeserializerSimpleThreads) {
test_boc_deserializer_threads<StaticBagOfCellsDbLazy>();
}
class CompactArray {
public:
CompactArray(size_t size) {
root_ = create(size, 0);
size_ = size;
}
CompactArray(size_t size, Ref<Cell> root) {
root_ = std::move(root);
size_ = size;
}
CompactArray(td::Span<td::uint64> span) {
root_ = create(span);
size_ = span.size();
}
CompactArray(CompactArray &&other) = default;
CompactArray &operator=(CompactArray &&other) = default;
td::Slice hash() const {
return root()->get_hash().as_slice();
}
void set(size_t pos, td::uint64 value) {
root_ = set(root_, size_, pos, value);
}
td::uint64 get(size_t pos) {
return get(root_, size_, pos, nullptr);
}
const Ref<Cell> &root() const {
return root_;
}
size_t size() const {
return size_;
}
Ref<Cell> merkle_proof(std::vector<size_t> keys) {
std::set<Cell::Hash> hashes;
for (auto key : keys) {
get(root_, size_, key, &hashes);
}
auto is_prunned = [&](const Ref<Cell> &cell) { return hashes.count(cell->get_hash()) == 0; };
return MerkleProof::generate_raw(root_, is_prunned);
}
private:
Ref<Cell> root_;
size_t size_;
static Ref<DataCell> create_list(td::uint64 value) {
CellBuilder cb;
cb.store_long(value, 64);
return cb.finalize();
}
static Ref<DataCell> create_node(Ref<Cell> left, Ref<Cell> right) {
CellBuilder cb;
cb.store_ref(std::move(left));
cb.store_ref(std::move(right));
return cb.finalize();
}
static Ref<DataCell> create(size_t size, td::uint64 value) {
if (size == 1) {
return create_list(value);
}
return create_node(create(size / 2, value), create((size + 1) / 2, value));
}
static Ref<DataCell> create(td::Span<td::uint64> value) {
if (value.size() == 1) {
return create_list(value[0]);
}
return create_node(create(value.substr(0, value.size() / 2)), create(value.substr(value.size() / 2)));
}
static td::uint64 get(Ref<Cell> any_cell, size_t size, size_t pos, std::set<Cell::Hash> *hashes) {
if (hashes) {
hashes->insert(any_cell->get_hash());
}
CellSlice cs(NoVm(), any_cell);
assert(pos < size);
if (size == 1) {
return cs.fetch_long(64);
}
auto left = cs.fetch_ref();
if (pos < size / 2) {
return get(left, size / 2, pos, hashes);
}
pos -= size / 2;
auto right = cs.fetch_ref();
return get(right, (size + 1) / 2, pos, hashes);
}
static Ref<DataCell> set(Ref<Cell> any_cell, size_t size, size_t pos, td::uint64 value) {
CellSlice cs(NoVm(), any_cell);
assert(pos < size);
if (size == 1) {
return create_list(value);
}
//LOG(ERROR) << cell->size_refs() << " " << cell->size_bits();
auto left = cs.fetch_ref();
auto right = cs.fetch_ref();
if (pos < size / 2) {
left = set(left, size / 2, pos, value);
} else {
pos -= size / 2;
right = set(right, (size + 1) / 2, pos, value);
}
return create_node(left, right);
}
};
class FastCompactArray {
public:
FastCompactArray(size_t size) : v_(size) {
}
void set(size_t pos, td::uint64 value) {
v_.at(pos) = value;
}
td::uint64 get(size_t pos) {
return v_.at(pos);
}
td::Span<td::uint64> as_span() const {
return v_;
}
private:
std::vector<td::uint64> v_;
};
TEST(Cell, BocHands) {
serialize_boc(CellBuilder{}.store_bytes("AAAAAAAA").finalize());
auto a = CellBuilder{}.store_bytes("abcd").store_ref(CellBuilder{}.store_bytes("???").finalize()).finalize();
a = CellBuilder{}
.store_bits("XXX", 3)
.store_ref(CellBuilder::create_pruned_branch(std::move(a), Cell::max_level))
.finalize();
auto serialized = serialize_boc(a);
deserialize_boc(serialized);
deserialize_boc(serialize_boc(std::vector<Ref<Cell>>{a, a}));
// CHECK backward compatibility with
// serialized_boc_idx and serialized_boc_idx_crc32c
//auto serialized_idx_crc_x = serialize_boc(a, BagOfCells::WithIndex | BagOfCells::WithCRC32C);
//LOG(ERROR) << td::format::escaped(serialized_idx_crc_x);
std::string serialized_idx_crc =
td::Slice(
"\254\303\247(\001\001\002\001\000*\004*\201\001P\001\210H\001\004\024\271\313\264\253\277\265\350dN\250{,"
"\372\021\012:I\354\322|\255\245\330\204+&\345\214\026\300\064\000\001\032\231\063\274")
.str();
//auto serialized_idx_x = serialize_boc(a, BagOfCells::WithIndex);
//LOG(ERROR) << td::format::escaped(serialized_idx_x);
std::string serialized_idx =
td::Slice(
"h\377e\363\001\001\002\001\000*\004*\201\001P\001\210H\001\004\024\271\313\264\253\277\265\350dN\250{,"
"\372\021\012:I\354\322|\255\245\330\204+&\345\214\026\300\064\000\001")
.str();
ASSERT_EQ(serialized, serialize_boc(deserialize_boc(serialized_idx)));
ASSERT_EQ(serialized, serialize_boc(deserialize_boc(serialized_idx_crc)));
}
TEST(Cell, MerkleProofHands) {
// data has a reference, because we do not prune lists
auto data = CellBuilder{}.store_bytes("pruned data").store_ref(CellBuilder{}.finalize()).finalize();
auto prunned_data = CellBuilder::create_pruned_branch(data, data->get_level() + 1);
ASSERT_EQ(1u, prunned_data->get_level());
ASSERT_EQ(prunned_data->get_hash(0), data->get_hash(0));
ASSERT_EQ(data->get_hash(0), data->get_hash(1));
ASSERT_TRUE(prunned_data->get_hash(1) != prunned_data->get_hash(0));
auto node = CellBuilder{}.store_bytes("protected data").store_ref(data).finalize();
auto proof = CellBuilder{}.store_bits(node->get_data(), node->get_bits()).store_ref(prunned_data).finalize();
ASSERT_EQ(0u, node->get_level());
ASSERT_EQ(1u, proof->get_level());
ASSERT_EQ(proof->get_hash(0), node->get_hash(0));
ASSERT_TRUE(proof->get_hash(1) != node->get_hash(1));
test_boc_deserializer_full(proof).ensure();
auto merkle_proof = CellBuilder::create_merkle_proof(proof);
ASSERT_EQ(0u, merkle_proof->get_level());
test_boc_deserializer_full(merkle_proof).ensure();
{
auto virtual_node = proof->virtualize({0, 1});
ASSERT_EQ(0u, virtual_node->get_level());
ASSERT_EQ(1u, virtual_node->get_virtualization());
CellSlice cs{NoVm(), virtual_node};
auto virtual_data = cs.fetch_ref();
ASSERT_EQ(0u, virtual_data->get_level());
ASSERT_EQ(1u, virtual_data->get_virtualization());
ASSERT_EQ(data->get_hash(), virtual_data->get_hash());
auto virtual_node_copy =
CellBuilder{}.store_bits(node->get_data(), node->get_bits()).store_ref(virtual_data).finalize();
ASSERT_EQ(0u, virtual_node_copy->get_level());
ASSERT_EQ(1u, virtual_node_copy->get_virtualization());
ASSERT_EQ(virtual_node->get_hash(), virtual_node_copy->get_hash());
{
auto two_nodes = CellBuilder{}.store_ref(virtual_node).store_ref(node).finalize();
ASSERT_EQ(0u, two_nodes->get_level());
ASSERT_EQ(1u, two_nodes->get_virtualization());
CellSlice cs2(NoVm(), two_nodes);
ASSERT_EQ(1u, cs2.prefetch_ref(0)->get_virtualization());
ASSERT_EQ(0u, cs2.prefetch_ref(1)->get_virtualization());
}
}
LOG(ERROR) << td::NamedThreadSafeCounter::get_default();
}
TEST(Cell, MerkleProofArrayHands) {
// create simple array
CompactArray arr(17);
for (size_t i = 0; i < arr.size(); i++) {
arr.set(i, i / 3);
}
// create merke proof for 4 5 6 and 16th elements
std::vector<size_t> keys = {4, 5, 6, 16};
auto proof = arr.merkle_proof(keys);
ASSERT_EQ(1u, proof->get_level());
ASSERT_EQ(proof->get_hash(0), arr.root()->get_hash(0));
ASSERT_TRUE(proof->get_hash(1) != arr.root()->get_hash(1));
ASSERT_EQ(arr.root()->get_hash(0), arr.root()->get_hash(1));
CompactArray new_arr(arr.size(), proof->virtualize({0, 1}));
for (auto k : keys) {
ASSERT_EQ(arr.get(k), new_arr.get(k));
}
test_boc_deserializer_full(proof).ensure();
test_boc_deserializer_full(CellBuilder::create_merkle_proof(proof)).ensure();
}
TEST(Cell, MerkleUpdateHands) {
auto data = CellBuilder{}.store_bytes("pruned data").store_ref(CellBuilder{}.finalize()).finalize();
auto node = CellBuilder{}.store_bytes("protected data").store_ref(data).finalize();
auto other_node = CellBuilder{}.store_bytes("other protected data").store_ref(data).finalize();
auto usage_tree = std::make_shared<CellUsageTree>();
auto other_usage_tree = std::make_shared<CellUsageTree>();
auto usage_cell = UsageCell::create(node, usage_tree->root_ptr());
auto child = CellSlice(vm::NoVm(), usage_cell).prefetch_ref(0);
auto new_node = CellBuilder{}.store_bytes("new data").store_ref(child).finalize();
auto new_child = CellSlice(vm::NoVm(), new_node).prefetch_ref(0);
auto update = MerkleUpdate::generate(usage_cell, new_node, usage_tree.get());
MerkleUpdate::may_apply(node, update).ensure();
MerkleUpdate::validate(update).ensure();
auto x = MerkleUpdate::apply(node, update);
ASSERT_TRUE(serialize_boc(new_node) == serialize_boc(x));
MerkleUpdate::may_apply(other_node, update).ensure_error();
ASSERT_TRUE(MerkleUpdate::apply(other_node, update).is_null());
auto other_update = CellBuilder::create_merkle_update(CellBuilder::create_pruned_branch(other_node, 1),
CellBuilder::create_pruned_branch(new_node, 1));
MerkleUpdate::may_apply(node, other_update).ensure_error();
MerkleUpdate::validate(other_update).ensure_error();
ASSERT_TRUE(MerkleUpdate::apply(other_node, other_update).is_null());
auto bad_update = CellBuilder::create_merkle_update(CellBuilder::create_pruned_branch(new_node, 1),
CellBuilder::create_pruned_branch(other_node, 1));
CHECK(MerkleUpdate::combine(update, bad_update).is_null());
}
TEST(Cell, MerkleUpdateArray) {
// create simple array
size_t n = 1 << 20;
std::vector<td::uint64> data;
for (size_t i = 0; i < n; i++) {
data.push_back(i / 3);
}
CompactArray arr(data);
auto root = arr.root();
auto usage_tree = std::make_shared<CellUsageTree>();
auto usage_cell = UsageCell::create(root, usage_tree->root_ptr());
arr = CompactArray(n, usage_cell);
arr.set(n / 2, 0);
arr.set(n / 2 + 1, 1);
arr.set(n / 2 + 2, 2414221111);
arr.set(n / 2 + 3, 2);
auto update = MerkleUpdate::generate(usage_cell, arr.root(), usage_tree.get());
CellStorageStat stat;
stat.compute_used_storage(update, false);
ASSERT_EQ(stat.cells, 81u);
//CellSlice(NoVm(), update).print_rec(std::cerr);
check_merkle_update(root, arr.root(), update);
}
TEST(Cell, MerkleUpdateCombineArray) {
size_t n = 1 << 10;
std::vector<td::uint64> data;
for (size_t i = 0; i < n; i++) {
data.push_back(i / 3);
}
CompactArray arr(data);
auto from = arr.root();
std::shared_ptr<CellUsageTree> usage_tree;
Ref<Cell> usage_cell;
std::vector<Ref<Cell>> updates;
auto apply_op = [&](auto op) {
auto A = arr.root();
usage_tree = std::make_shared<CellUsageTree>();
usage_cell = UsageCell::create(arr.root(), usage_tree->root_ptr());
arr = CompactArray(n, usage_cell);
op();
updates.push_back(MerkleUpdate::generate(A, arr.root(), usage_tree.get()));
};
auto combine_all = [&]() {
while (updates.size() > 1) {
size_t i = updates.size() - 2;
updates[i] = MerkleUpdate::combine(updates[i], updates[i + 1]);
updates.pop_back();
CellStorageStat stat;
stat.compute_used_storage(updates[i], false);
}
};
auto validate = [&](size_t size) {
combine_all();
check_merkle_update(from, arr.root(), updates.at(0));
CellStorageStat stat;
stat.compute_used_storage(updates[0], false);
if (size != 0) {
ASSERT_EQ(size, stat.cells);
}
};
apply_op([] {});
validate(3);
apply_op([] {});
apply_op([] {});
apply_op([] {});
validate(3);
apply_op([&] {
for (size_t i = 0; i < n; i++) {
arr.set(i, i / 3 + 10);
}
});
apply_op([&] {
for (size_t i = 0; i < n; i++) {
arr.set(i, i / 3);
}
});
validate(3);
for (size_t i = 0; i + 1 < n; i++) {
apply_op([&] {
arr.set(i, i / 3 + 1);
if (i != 0) {
arr.set(i - 1, (i - 1) / 3);
}
});
}
validate(41);
}
} // namespace vm
class BenchBocSerializerImport : public td::Benchmark {
public:
BenchBocSerializerImport() {
std::vector<td::uint64> v(array_size);
td::Random::Xorshift128plus rnd{123};
for (auto &x : v) {
x = rnd();
}
arr = vm::CompactArray(v);
//serialization_ = td::BufferSlice(boc.serialize_to_string(15));
}
std::string get_description() const override {
return "BenchBocSerializer";
}
void run(int n) override {
for (int i = 0; i < n; i++) {
vm::BagOfCells boc;
boc.add_root(arr.root());
boc.import_cells().ensure();
}
}
private:
td::BufferSlice serialization_;
static constexpr td::uint32 array_size = 1024;
vm::CompactArray arr{1};
};
class BenchBocSerializerSerialize : public td::Benchmark {
public:
BenchBocSerializerSerialize() {
std::vector<td::uint64> v(array_size);
td::Random::Xorshift128plus rnd{123};
for (auto &x : v) {
x = rnd();
}
arr = vm::CompactArray(v);
boc.add_root(arr.root());
boc.import_cells().ensure();
}
std::string get_description() const override {
return "BenchBocSerializer";
}
void run(int n) override {
for (int i = 0; i < n; i++) {
boc.serialize_to_string(31);
}
}
private:
td::BufferSlice serialization_;
static constexpr td::uint32 array_size = 1024;
vm::CompactArray arr{1};
vm::BagOfCells boc;
};
struct BenchBocDeserializerConfig {
enum BlobType { File, Memory, FileMemoryMap, RocksDb } blob_type;
int k{100};
enum Mode { Prefix, Range, Random } mode{Random};
bool with_index{true};
int threads_n{1};
};
td::StringBuilder &operator<<(td::StringBuilder &sb, const BenchBocDeserializerConfig &config) {
sb << "load from ";
switch (config.blob_type) {
case BenchBocDeserializerConfig::File:
sb << "file";
break;
case BenchBocDeserializerConfig::Memory:
sb << "memory";
break;
case BenchBocDeserializerConfig::FileMemoryMap:
sb << "file mmap";
break;
case BenchBocDeserializerConfig::RocksDb:
sb << "rocksdb";
break;
}
sb << td::tag("k", config.k) << " ";
switch (config.mode) {
case BenchBocDeserializerConfig::Prefix:
sb << "prefix";
break;
case BenchBocDeserializerConfig::Range:
sb << "range";
break;
case BenchBocDeserializerConfig::Random:
sb << "random";
break;
}
sb << " " << (config.with_index ? "with" : "without") << " index";
sb << " " << config.threads_n << " threads";
return sb;
}
template <class DeserializerT>
class BenchBocDeserializer : public td::Benchmark {
public:
BenchBocDeserializer(std::string name, BenchBocDeserializerConfig config) : name_(std::move(name)), config_(config) {
fast_array_ = vm::FastCompactArray(array_size);
td::Random::Xorshift128plus rnd{123};
for (td::uint32 i = 0; i < array_size; i++) {
auto val = rnd();
fast_array_.set(i, val);
}
vm::CompactArray arr(fast_array_.as_span());
auto db_path = "serialization_rocksdb";
if (config.blob_type == BenchBocDeserializerConfig::RocksDb) {
{
td::RocksDb::destroy(td::Slice(db_path)).ensure();
auto db = vm::TonDbImpl::open(td::Slice(db_path)).move_as_ok();
auto txn = db->begin_transaction();
auto smt = txn->begin_smartcontract();
SCOPE_EXIT {
db->commit_transaction(std::move(txn));
};
SCOPE_EXIT {
txn->commit_smartcontract(std::move(smt));
};
smt->set_root(arr.root());
}
db_ = vm::TonDbImpl::open(td::Slice(db_path)).move_as_ok();
} else {
serialization_ = td::BufferSlice(serialize_boc(
arr.root(), vm::BagOfCells::WithIntHashes | vm::BagOfCells::WithTopHash |
(config.with_index ? vm::BagOfCells::WithIndex | vm::BagOfCells::WithCacheBits : 0)));
if (config.blob_type == BenchBocDeserializerConfig::File ||
config.blob_type == BenchBocDeserializerConfig::FileMemoryMap) {
td::unlink("serialization").ignore();
td::write_file("serialization", serialization_.as_slice()).ensure();
}
}
root_ = arr.root();
}
std::string get_description() const override {
return PSTRING() << "BocDeserializer " << name_ << " " << config_;
}
vm::Ref<vm::Cell> load_root() {
if (config_.blob_type == BenchBocDeserializerConfig::RocksDb) {
auto txn = db_->begin_transaction();
auto smt = txn->begin_smartcontract();
SCOPE_EXIT {
db_->abort_transaction(std::move(txn));
};
SCOPE_EXIT {
txn->commit_smartcontract(std::move(smt));
};
LOG(ERROR) << "load root from rocksdb";
return smt->get_root();
}
auto blob = [&] {
switch (config_.blob_type) {
case BenchBocDeserializerConfig::File:
return vm::FileBlobView::create("serialization").move_as_ok();
case BenchBocDeserializerConfig::Memory:
return vm::BufferSliceBlobView::create(serialization_.clone());
case BenchBocDeserializerConfig::FileMemoryMap:
return vm::FileMemoryMappingBlobView::create("serialization").move_as_ok();
default:
UNREACHABLE();
}
UNREACHABLE();
}();
auto boc_deserializer = DeserializerT::create(std::move(blob)).move_as_ok();
ASSERT_EQ(1u, boc_deserializer->get_root_count().move_as_ok());
return boc_deserializer->get_root_cell(0).move_as_ok();
}
void run(int n) override {
td::Random::Xorshift128plus rnd{123};
std::vector<td::thread> threads;
//TODO: use config.k
auto K = config_.k == 0 ? n : config_.k;
td::Stage stage;
vm::Ref<vm::Cell> root;
for (int t = 0; t < config_.threads_n; t++) {
threads.emplace_back([&, seed = rnd(), thread_i = t] {
for (int round_i = 0; round_i < n / K; round_i++) {
if (thread_i == 0) {
root = load_root();
}
stage.wait(config_.threads_n * (2 * round_i + 1));
vm::CompactArray array(array_size, root);
td::Random::Xorshift128plus rnd{seed};
td::uint64 start_pos =
config_.mode == BenchBocDeserializerConfig::Range ? array_size / config_.threads_n * thread_i : 0;
for (int k = 0; k < K; k++) {
auto pos = start_pos;
switch (config_.mode) {
case BenchBocDeserializerConfig::Prefix:
case BenchBocDeserializerConfig::Range:
pos = (pos + k) % array_size;
break;
case BenchBocDeserializerConfig::Random:
pos = rnd() % array_size;
break;
}
ASSERT_EQ(fast_array_.get(td::narrow_cast<std::size_t>(pos)), array.get(td::narrow_cast<std::size_t>(pos)));
}
stage.wait(config_.threads_n * (2 * round_i + 2));
}
});
}
for (auto &thread : threads) {
thread.join();
}
}
private:
std::string name_;
td::BufferSlice serialization_;
BenchBocDeserializerConfig config_;
static constexpr td::uint32 array_size = 1024 * 1024;
vm::FastCompactArray fast_array_{array_size};
vm::Ref<vm::Cell> root_;
vm::TonDb db_;
};
TEST(TonDb, BenchBocSerializerImport) {
if (0) {
BenchBocSerializerImport b;
while (true) {
td::bench_n(b, 1000000);
}
}
td::bench(BenchBocSerializerImport());
}
TEST(TonDb, BenchBocSerializerSerialize) {
td::bench(BenchBocSerializerSerialize());
}
template <class DeserializerT>
void bench_deserializer(std::string name, bool full) {
using Config = BenchBocDeserializerConfig;
if (full) {
for (auto k : {1, 10, 100}) {
for (auto with_index : {false, true}) {
for (auto mode : {Config::Prefix, Config::Range, Config::Random}) {
for (auto blob_type : {Config::Memory, Config::File, Config::FileMemoryMap}) {
BenchBocDeserializerConfig config;
config.k = k;
config.with_index = with_index;
config.mode = mode;
config.blob_type = blob_type;
td::bench(BenchBocDeserializer<DeserializerT>(name, config));
}
}
}
}
} else {
td::bench(BenchBocDeserializer<DeserializerT>(name, BenchBocDeserializerConfig()));
}
}
template <class DeserializerT>
void bench_deserializer_threads(std::string name) {
using Config = BenchBocDeserializerConfig;
for (auto threads_n : {1, 4, 16}) {
//for (auto threads_n : {16}) {
//for (auto with_index : {false, true}) {
//for (auto mode : {BenchBocDeserializerConfig::Prefix, BenchBocDeserializerConfig::Range,
//BenchBocDeserializerConfig::Random}) {
//for (auto from_file : {false, true}) {
BenchBocDeserializerConfig config;
config.threads_n = threads_n;
config.k = 0;
config.with_index = true;
config.mode = Config::Random;
config.mode = Config::Range;
config.mode = Config::Prefix;
config.blob_type = Config::Memory;
td::bench(BenchBocDeserializer<DeserializerT>(name, config));
//td::bench_n(BenchBocThreadsDeserializer<DeserializerT>(name, config), 1000000);
//}
//}
//}
}
}
TEST(TonDb, BenchBocThreadsDeserializerSimple) {
//td::bench_n(BenchBocDeserializer<vm::StaticBagOfCellsDbLazy>("simple", BenchBocDeserializerConfig()), 1000000);
//std::exit(0);
bench_deserializer_threads<vm::StaticBagOfCellsDbLazy>("simple");
}
TEST(TonDb, BenchBocDeserializerSimple) {
//td::bench_n(BenchBocDeserializer<vm::StaticBagOfCellsDbLazy>("simple", BenchBocDeserializerConfig()), 1000000);
//std::exit(0);
bench_deserializer<vm::StaticBagOfCellsDbLazy>("simple", false);
}
TEST(TonDb, BenchBocDeserializerBaseline) {
//td::bench_n(BenchBocDeserializer<vm::StaticBagOfCellsDbBaseline>("baseline", BenchBocDeserializerConfig()), 1000000);
//std::exit(0);
bench_deserializer<vm::StaticBagOfCellsDbBaseline>("baseline", false);
}
TEST(TonDb, BenchBocDeserializerRocksDb) {
//td::bench_n(BenchBocDeserializer<vm::StaticBagOfCellsDbBaseline>("baseline", BenchBocDeserializerConfig()), 1000000);
//std::exit(0);
auto config = BenchBocDeserializerConfig();
config.blob_type = BenchBocDeserializerConfig::RocksDb;
config.threads_n = 4;
config.k = 0;
td::bench(BenchBocDeserializer<vm::StaticBagOfCellsDbBaseline>("rockdb", config));
}
TEST(TonDb, CompactArray) {
SET_VERBOSITY_LEVEL(VERBOSITY_NAME(ERROR));
td::Slice db_path = "compact_array_db";
td::RocksDb::destroy(db_path).ensure();
td::Random::Xorshift128plus rnd(123);
auto next_array_size = [&rnd]() {
static std::vector<size_t> array_sizes = {1, 2, 4, 10, 37, 100, 1000, 10000};
return array_sizes[rnd() % array_sizes.size()];
};
vm::CompactArray array(2);
vm::FastCompactArray fast_array(2);
auto next_pos = [&] { return static_cast<size_t>(rnd() % array.size()); };
auto db = vm::TonDbImpl::open(db_path).move_as_ok();
auto txn = db->begin_transaction();
auto smt = txn->begin_smartcontract();
SCOPE_EXIT {
db->commit_transaction(std::move(txn));
};
SCOPE_EXIT {
txn->commit_smartcontract(std::move(smt));
};
auto flush_to_db = [&] {
if (rnd() % 10 != 0) {
return;
}
bool restart_db = rnd() % 20 == 0;
bool reload_array = rnd() % 5 == 0;
smt->set_root(array.root());
txn->commit_smartcontract(std::move(smt));
db->commit_transaction(std::move(txn));
if (restart_db) {
db->clear_cache();
//db.reset();
//db = vm::TonDbImpl::open(db_path).move_as_ok();
}
txn = db->begin_transaction();
smt = txn->begin_smartcontract();
smt->validate_meta().ensure();
ASSERT_EQ(smt->get_root()->get_hash(), array.root()->get_hash());
if (reload_array) {
auto size = array.size();
array = vm::CompactArray(size, smt->get_root());
}
};
auto do_validate = [&](size_t pos) { ASSERT_EQ(array.get(pos), fast_array.get(pos)); };
auto validate = [&] { do_validate(next_pos()); };
auto validate_full = [&] {
for (size_t pos = 0; pos < array.size(); pos++) {
do_validate(pos);
}
};
auto set_value = [&] {
auto pos = static_cast<size_t>(rnd() % array.size());
auto value = rnd() % 3;
array.set(pos, value);
fast_array.set(pos, value);
};
auto reset_array = [&] {
auto size = next_array_size();
array = vm::CompactArray(size);
fast_array = vm::FastCompactArray(size);
};
RandomSteps steps({{reset_array, 1}, {set_value, 1000}, {validate, 10}, {validate_full, 2}, {flush_to_db, 1}});
for (size_t t = 0; t < 100000; t++) {
if (t % 10000 == 0) {
LOG(ERROR) << t;
}
steps.step(rnd);
}
};
TEST(TonDb, CompactArrayOld) {
SET_VERBOSITY_LEVEL(VERBOSITY_NAME(ERROR));
using namespace vm;
//auto kv = std::make_unique<MemoryKeyValue>();
td::RocksDb::destroy("ttt").ensure();
auto ton_db = vm::TonDbImpl::open("ttt").move_as_ok();
//auto storage = std::make_unique<CellStorage>(kv.get());
size_t array_size = 1000;
std::string hash;
td::Random::Xorshift128plus rnd(123);
FastCompactArray fast_array(array_size);
{
auto txn = ton_db->begin_transaction();
SCOPE_EXIT {
ton_db->commit_transaction(std::move(txn));
};
auto smart = txn->begin_smartcontract("");
SCOPE_EXIT {
txn->commit_smartcontract(std::move(smart));
};
CompactArray arr(array_size);
arr.set(array_size / 2, 124);
fast_array.set(array_size / 2, 124);
//for (size_t i = 0; i < array_size; i++) {
//int x = rnd() % 2;
//arr.set(i, x);
//fast_array.set(i, x);
//}
smart->set_root(arr.root());
LOG(ERROR) << smart->get_root()->get_hash().to_hex();
}
//LOG(ERROR) << "OK";
for (int i = 0; i < 100; i++) {
if (i % 10 == 9) {
//LOG(ERROR) << ton_db->stat();
ton_db.reset();
ton_db = vm::TonDbImpl::open("ttt").move_as_ok();
}
auto txn = ton_db->begin_transaction();
SCOPE_EXIT {
ton_db->commit_transaction(std::move(txn));
};
auto smart = txn->begin_smartcontract("");
//smart->validate_meta();
SCOPE_EXIT {
txn->commit_smartcontract(std::move(smart));
};
if (i % 1000 == 0) {
LOG(ERROR) << "i = " << i;
}
CompactArray arr(array_size, smart->get_root());
auto key = static_cast<size_t>(rnd() % array_size);
auto value = rnd() % 2;
arr.set(key, value);
fast_array.set(key, value);
smart->set_root(arr.root());
//LOG(ERROR) << storage->size();
}
{
auto txn = ton_db->begin_transaction();
SCOPE_EXIT {
ton_db->abort_transaction(std::move(txn));
};
auto smart = txn->begin_smartcontract("");
SCOPE_EXIT {
txn->abort_smartcontract(std::move(smart));
};
CompactArray arr(array_size, smart->get_root());
for (size_t i = 0; i < array_size; i++) {
ASSERT_EQ(fast_array.get(i), arr.get(i));
}
}
}
TEST(TonDb, StackOverflow) {
try {
td::Ref<vm::Cell> cell = vm::CellBuilder().finalize();
for (int i = 0; i < 10000000; i++) {
vm::CellBuilder cb;
cb.store_ref(std::move(cell));
cell = cb.finalize();
}
LOG(ERROR) << "A";
vm::test_boc_deserializer<vm::StaticBagOfCellsDbBaseline>({cell}, 31);
LOG(ERROR) << "B";
vm::test_boc_deserializer<vm::StaticBagOfCellsDbLazy>({cell}, 31);
LOG(ERROR) << "C";
} catch (...) {
}
struct A : public td::CntObject {
explicit A(td::Ref<A> next) : next(next) {
}
td::Ref<A> next;
};
{
td::Ref<A> head;
for (int i = 0; i < 10000000; i++) {
td::Ref<A> new_head = td::Ref<A>(true, std::move(head));
head = std::move(new_head);
}
}
}
TEST(TonDb, BocRespectsUsageCell) {
td::Random::Xorshift128plus rnd(123);
auto cell = vm::gen_random_cell(20, rnd, true);
auto usage_tree = std::make_shared<vm::CellUsageTree>();
auto usage_cell = vm::UsageCell::create(cell, usage_tree->root_ptr());
auto serialization = serialize_boc(usage_cell);
auto proof = vm::MerkleProof::generate(cell, usage_tree.get());
auto virtualized_proof = vm::MerkleProof::virtualize(proof, 1);
auto serialization_of_virtualized_cell = serialize_boc(virtualized_proof);
ASSERT_STREQ(serialization, serialization_of_virtualized_cell);
}
TEST(TonDb, DynamicBocRespectsUsageCell) {
td::Random::Xorshift128plus rnd(123);
auto cell = vm::gen_random_cell(20, rnd, true);
auto usage_tree = std::make_shared<vm::CellUsageTree>();
auto usage_cell = vm::UsageCell::create(cell, usage_tree->root_ptr());
auto kv = std::make_shared<td::MemoryKeyValue>();
auto dboc = vm::DynamicBagOfCellsDb::create();
dboc->set_loader(std::make_unique<vm::CellLoader>(kv));
dboc->inc(usage_cell);
{
vm::CellStorer cell_storer(*kv);
dboc->commit(cell_storer);
}
auto proof = vm::MerkleProof::generate(cell, usage_tree.get());
auto virtualized_proof = vm::MerkleProof::virtualize(proof, 1);
auto serialization_of_virtualized_cell = serialize_boc(virtualized_proof);
auto serialization = serialize_boc(cell);
ASSERT_STREQ(serialization, serialization_of_virtualized_cell);
}
TEST(TonDb, DoNotMakeListsPrunned) {
auto cell = vm::CellBuilder().store_bytes("abc").finalize();
auto is_prunned = [&](const td::Ref<vm::Cell> &cell) { return true; };
auto proof = vm::MerkleProof::generate(cell, is_prunned);
auto virtualized_proof = vm::MerkleProof::virtualize(proof, 1);
ASSERT_TRUE(virtualized_proof->get_virtualization() == 0);
}
TEST(TonDb, CellStat) {
td::Random::Xorshift128plus rnd(123);
bool with_prunned_branches = true;
for (int i = 0; i < 1000; i++) {
auto A = vm::gen_random_cell(100, rnd, with_prunned_branches);
td::Ref<vm::Cell> B, AB, B_proof;
std::shared_ptr<vm::CellUsageTree> usage_tree;
std::tie(B, AB, usage_tree) = gen_merkle_update(A, rnd, with_prunned_branches);
B_proof = vm::CellSlice(vm::NoVm(), AB).prefetch_ref(1);
vm::CellStorageStat stat;
stat.add_used_storage(B);
vm::NewCellStorageStat new_stat;
new_stat.add_cell({});
new_stat.add_cell(B);
ASSERT_EQ(stat.cells, new_stat.get_stat().cells);
ASSERT_EQ(stat.bits, new_stat.get_stat().bits);
vm::CellStorageStat proof_stat;
proof_stat.add_used_storage(B_proof);
vm::NewCellStorageStat new_proof_stat;
new_proof_stat.add_proof(B, usage_tree.get());
CHECK(new_proof_stat.get_stat().cells == 0);
CHECK(new_proof_stat.get_proof_stat().cells <= proof_stat.cells);
//CHECK(new_proof_stat.get_proof_stat().cells + new_proof_stat.get_proof_stat().external_refs >= proof_stat.cells);
vm::NewCellStorageStat new_all_stat;
new_all_stat.add_cell_and_proof(B, usage_tree.get());
CHECK(new_proof_stat.get_proof_stat() == new_all_stat.get_proof_stat());
CHECK(new_stat.get_stat() == new_all_stat.get_stat());
stat.add_used_storage(A);
auto AB_stat = new_stat.get_stat() + const_cast<vm::NewCellStorageStat &>(new_stat).tentative_add_cell(A);
new_stat.add_cell(A);
CHECK(AB_stat == new_stat.get_stat());
ASSERT_EQ(stat.cells, new_stat.get_stat().cells);
ASSERT_EQ(stat.bits, new_stat.get_stat().bits);
CHECK(usage_tree.unique());
usage_tree.reset();
td::Ref<vm::Cell> C, BC, C_proof;
std::shared_ptr<vm::CellUsageTree> usage_tree_B;
std::tie(C, BC, usage_tree_B) = gen_merkle_update(B, rnd, with_prunned_branches);
C_proof = vm::CellSlice(vm::NoVm(), BC).prefetch_ref(1);
auto BC_proof_stat = new_proof_stat.get_proof_stat() + new_proof_stat.tentative_add_proof(C, usage_tree_B.get());
new_proof_stat.add_proof(C, usage_tree_B.get());
CHECK(BC_proof_stat == new_proof_stat.get_proof_stat());
}
}
struct String {
String() {
total_strings.add(1);
}
String(std::string str) : str(std::move(str)) {
total_strings.add(1);
}
~String() {
total_strings.add(-1);
}
static td::ThreadSafeCounter total_strings;
std::string str;
};
td::ThreadSafeCounter String::total_strings;
TEST(Ref, AtomicRef) {
struct Node {
td::AtomicRefLockfree<td::Cnt<String>> name_;
char pad[64];
};
int threads_n = 10;
std::vector<Node> nodes(threads_n);
std::vector<td::thread> threads(threads_n);
int thread_id = 0;
for (auto &thread : threads) {
thread = td::thread([&] {
for (int i = 0; i < 1000000; i++) {
auto &node = nodes[td::Random::fast(0, threads_n / 3 - 1)];
auto name = node.name_.load();
if (name.not_null()) {
CHECK(name->str == "one" || name->str == "twotwo");
}
if (td::Random::fast(0, 5) == 0) {
auto new_string = td::Ref<td::Cnt<String>>{true, td::Random::fast(0, 1) == 0 ? "one" : "twotwo"};
node.name_.store(std::move(new_string));
}
}
});
thread_id++;
}
for (auto &thread : threads) {
thread.join();
}
nodes.clear();
LOG(ERROR) << String::total_strings.sum();
}
//TEST(Tmp, Boc) {
//LOG(ERROR) << "A";
//auto data = td::read_file("boc");
//LOG(ERROR) << "B";
//auto cell = vm::deserialize_boc(data.move_as_ok().as_slice());
//vm::CellStorageStat stat;
//stat.add_used_storage(cell, false);
//LOG(ERROR) << stat.cells;
////LOG(ERROR) << "C";
////auto new_data = vm::serialize_boc(cell);
////LOG(ERROR) << "D";
//vm::test_boc_deserializer<vm::StaticBagOfCellsDbLazy>({cell}, 31);
//}
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