Files
rippled/src/test/nodestore/DatabaseConfig_test.cpp
Pratik Mankawde 6aa59629de fix(tests): make the fetch-duration assertions machine-independent
BEAST_EXPECT(getFetchDurationUs() > 0) failed on the macOS arm64 runner at
DatabaseConfig_test.cpp:879. It is an assertion about the host, not the
code: Database::fetchNodeObject() truncates each fetch to whole
microseconds, and a read served from NuDB's in-memory buckets can
genuinely measure under one microsecond. On a host fast enough for every
read to truncate, the total legitimately stays at zero.

Both fetch-duration checks now compare the accumulator against the total
the scheduler's fetch reports carried, via a CountingScheduler. Each
fetch is measured once and that one value feeds both, so the equality
holds at any host speed while being strictly stronger than '> 0': a
dropped fetch, a double-count, or the write member being returned all
break it. The same reasoning is already recorded in the GTest at
src/tests/libxrpl/nodestore/Database.cpp.

The store-duration '> 0' checks are left alone: those writes reach disk
and were not what failed.
2026-07-28 17:43:59 +01:00

1397 lines
52 KiB
C++

#include <test/jtx/CheckMessageLogs.h>
#include <test/jtx/Env.h>
#include <test/jtx/envconfig.h>
#include <test/unit_test/SuiteJournal.h>
#include <xrpld/core/Config.h>
#ifdef XRPL_ENABLE_TELEMETRY
// The four nodestore_state gauge helpers under test, plus the counter type one
// of them reads. Both live in xrpld and are only declared in a
// telemetry-enabled build, so the include is guarded like its uses below.
#include <xrpld/app/ledger/AcquireStats.h>
#include <xrpld/telemetry/MetricsRegistry.h>
#endif
#include <xrpl/basics/Blob.h>
#include <xrpl/basics/ByteUtilities.h>
#include <xrpl/basics/base_uint.h>
#include <xrpl/basics/random.h>
#include <xrpl/beast/unit_test/suite.h>
#include <xrpl/beast/utility/Journal.h>
#include <xrpl/beast/utility/rngfill.h>
#include <xrpl/beast/utility/temp_dir.h>
#include <xrpl/beast/xor_shift_engine.h>
#include <xrpl/config/BasicConfig.h>
#include <xrpl/config/Constants.h>
#include <xrpl/nodestore/Backend.h>
#include <xrpl/nodestore/Database.h>
#include <xrpl/nodestore/DummyScheduler.h>
#include <xrpl/nodestore/Manager.h>
#include <xrpl/nodestore/NodeObject.h>
#include <xrpl/nodestore/Scheduler.h>
#include <xrpl/nodestore/Types.h>
#include <xrpl/nodestore/detail/DatabaseRotatingImp.h>
#include <xrpl/rdb/DatabaseCon.h>
#include <algorithm>
#include <atomic>
#include <chrono>
#include <cstddef>
#include <cstdint>
#include <memory>
#include <optional>
#include <string>
#include <type_traits>
#include <utility>
#include <vector>
namespace xrpl::node_store {
class DatabaseConfig_test : public beast::unit_test::Suite
{
private:
/**
* Journal for backends and databases created by this suite.
*
* The nodestore suites that used to share these helpers moved to GTest,
* taking their common base with them. This suite stayed on Beast, so it
* keeps its own copy of the few pieces it needs. SuiteJournal rather than
* a bare beast::Journal, which has no default constructor; it converts
* implicitly where a journal is expected.
*/
test::SuiteJournal journal_{"DatabaseConfig_test", *this};
/**
* Build a batch of node objects that is the same for a given seed.
*
* Payload sizes and contents come from a seeded generator, so two runs
* with one seed produce identical objects and a test can store one batch
* and look for exactly those hashes later.
*
* @param numObjects How many objects to create.
* @param seed Seed for the generator.
* @return The batch, in creation order.
*/
static Batch
createPredictableBatch(int numObjects, std::uint64_t seed)
{
Batch batch;
batch.reserve(numObjects);
beast::xor_shift_engine rng(seed);
for (int i = 0; i < numObjects; ++i)
{
uint256 hash;
beast::rngfill(hash.begin(), hash.size(), rng);
Blob blob(randInt(rng, std::size_t{1}, std::size_t{2000}));
beast::rngfill(blob.data(), blob.size(), rng);
batch.emplace_back(
NodeObject::createObject(NodeObjectType::Ledger, std::move(blob), hash));
}
return batch;
}
/**
* Store every object of a batch in a database.
*
* @param db Destination database.
* @param batch Objects to store.
*/
static void
storeBatch(Database& db, Batch const& batch)
{
for (auto const& object : batch)
{
Blob data(object->getData());
db.store(object->getType(), std::move(data), object->getHash(), db.earliestLedgerSeq());
}
}
/**
* Store every object of a batch directly in a backend.
*
* @param backend Destination backend.
* @param batch Objects to store.
*/
static void
storeBatch(Backend& backend, Batch const& batch)
{
for (auto const& object : batch)
backend.store(object);
}
/**
* A DummyScheduler that also totals what the fetch reports carried.
*
* Database::fetchNodeObject() measures each fetch once and uses that one
* value for both its internal accumulator and the report it hands the
* scheduler, so the report total is an independent reading of the same
* measurement. Comparing the two pins the accumulator without asserting
* that a fetch took any particular amount of time -- which is a statement
* about the machine, not the code, and fails on a host fast enough to
* serve every read in under a microsecond.
*
* @note Counters are atomic because Scheduler is called from the
* nodestore's read threads in production. These tests fetch
* synchronously on one thread, so the totals are still exact.
*/
struct CountingScheduler : DummyScheduler
{
/**
* Sum of the durations carried by every fetch report received.
*/
std::atomic<std::uint64_t> reportedFetchUs{0};
/**
* Fetch reports received, however long each one measured.
*/
std::atomic<std::uint64_t> fetchReports{0};
void
onFetch(FetchReport const& report) override
{
reportedFetchUs += static_cast<std::uint64_t>(
std::chrono::duration_cast<std::chrono::microseconds>(report.elapsed).count());
++fetchReports;
}
};
/**
* Assert the read accumulator holds exactly what the fetch reports carried.
*
* Deliberately not `getFetchDurationUs() > 0`: an individual read served
* from NuDB's in-memory buckets can genuinely measure under one
* microsecond and truncate to zero, so on a fast enough host every read
* truncates and the total stays at zero with nothing wrong. That makes
* `> 0` an assertion about the machine rather than about the code, and it
* is what failed on the macOS runner.
*
* The equality below is machine-independent and strictly stronger: each
* fetch is measured once and that one value feeds both the accumulator
* and the report, so an accumulator that dropped a fetch, double-counted
* one, or reported the write member instead would break the equality
* however fast the host is.
*
* @param db Database whose read accumulator is checked.
* @param scheduler Scheduler that received the reports for @p db.
* @param expectedReports Fetches that must have been reported.
*/
void
expectFetchDurationMatchesReports(
Database const& db,
CountingScheduler const& scheduler,
std::uint64_t expectedReports)
{
BEAST_EXPECT(scheduler.fetchReports.load() == expectedReports);
BEAST_EXPECT(db.getFetchDurationUs() == scheduler.reportedFetchUs.load());
}
public:
void
testConfig()
{
testcase("Config");
using namespace xrpl::test;
using namespace xrpl::test::jtx;
auto const integrityWarning =
"reducing the data integrity guarantees from the "
"default [sqlite] behavior is not recommended for "
"nodes storing large amounts of history, because of the "
"difficulty inherent in rebuilding corrupted data.";
{
// defaults
Env env(*this);
auto const s = setupDatabaseCon(env.app().config());
if (BEAST_EXPECT(s.globalPragma->size() == 3))
{
BEAST_EXPECT(s.globalPragma->at(0) == "PRAGMA journal_mode=wal;");
BEAST_EXPECT(s.globalPragma->at(1) == "PRAGMA synchronous=normal;");
BEAST_EXPECT(s.globalPragma->at(2) == "PRAGMA temp_store=file;");
}
}
{
// High safety level
DatabaseCon::Setup::globalPragma.reset();
bool found = false;
Env env = [&]() {
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("safety_level", "high");
}
p->ledgerHistory = 100'000'000;
return Env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(integrityWarning, &found),
beast::Severity::Warning);
}();
BEAST_EXPECT(!found);
auto const s = setupDatabaseCon(env.app().config());
if (BEAST_EXPECT(s.globalPragma->size() == 3))
{
BEAST_EXPECT(s.globalPragma->at(0) == "PRAGMA journal_mode=wal;");
BEAST_EXPECT(s.globalPragma->at(1) == "PRAGMA synchronous=normal;");
BEAST_EXPECT(s.globalPragma->at(2) == "PRAGMA temp_store=file;");
}
}
{
// Low safety level
DatabaseCon::Setup::globalPragma.reset();
bool found = false;
Env env = [&]() {
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("safety_level", "low");
}
p->ledgerHistory = 100'000'000;
return Env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(integrityWarning, &found),
beast::Severity::Warning);
}();
BEAST_EXPECT(found);
auto const s = setupDatabaseCon(env.app().config());
if (BEAST_EXPECT(s.globalPragma->size() == 3))
{
BEAST_EXPECT(s.globalPragma->at(0) == "PRAGMA journal_mode=memory;");
BEAST_EXPECT(s.globalPragma->at(1) == "PRAGMA synchronous=off;");
BEAST_EXPECT(s.globalPragma->at(2) == "PRAGMA temp_store=memory;");
}
}
{
// Override individual settings
DatabaseCon::Setup::globalPragma.reset();
bool found = false;
Env env = [&]() {
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("journal_mode", "off");
section.set("synchronous", "extra");
section.set("temp_store", "default");
}
return Env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(integrityWarning, &found),
beast::Severity::Warning);
}();
// No warning, even though higher risk settings were used because
// ledgerHistory is small
BEAST_EXPECT(!found);
auto const s = setupDatabaseCon(env.app().config());
if (BEAST_EXPECT(s.globalPragma->size() == 3))
{
BEAST_EXPECT(s.globalPragma->at(0) == "PRAGMA journal_mode=off;");
BEAST_EXPECT(s.globalPragma->at(1) == "PRAGMA synchronous=extra;");
BEAST_EXPECT(s.globalPragma->at(2) == "PRAGMA temp_store=default;");
}
}
{
// Override individual settings with large history
DatabaseCon::Setup::globalPragma.reset();
bool found = false;
Env env = [&]() {
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("journal_mode", "off");
section.set("synchronous", "extra");
section.set("temp_store", "default");
}
p->ledgerHistory = 50'000'000;
return Env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(integrityWarning, &found),
beast::Severity::Warning);
}();
// No warning, even though higher risk settings were used because
// ledgerHistory is small
BEAST_EXPECT(found);
auto const s = setupDatabaseCon(env.app().config());
if (BEAST_EXPECT(s.globalPragma->size() == 3))
{
BEAST_EXPECT(s.globalPragma->at(0) == "PRAGMA journal_mode=off;");
BEAST_EXPECT(s.globalPragma->at(1) == "PRAGMA synchronous=extra;");
BEAST_EXPECT(s.globalPragma->at(2) == "PRAGMA temp_store=default;");
}
}
{
// Error: Mix safety_level and individual settings
DatabaseCon::Setup::globalPragma.reset();
auto const expected =
"Failed to initialize SQL databases: "
"Configuration file may not define both \"safety_level\" and "
"\"journal_mode\"";
bool found = false;
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("safety_level", "low");
section.set("journal_mode", "off");
section.set("synchronous", "extra");
section.set("temp_store", "default");
}
try
{
Env const env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(expected, &found),
beast::Severity::Warning);
fail();
}
catch (...)
{
BEAST_EXPECT(found);
}
}
{
// Error: Mix safety_level and one setting (gotta catch 'em all)
DatabaseCon::Setup::globalPragma.reset();
auto const expected =
"Failed to initialize SQL databases: Configuration file may "
"not define both \"safety_level\" and \"journal_mode\"";
bool found = false;
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("safety_level", "high");
section.set("journal_mode", "off");
}
try
{
Env const env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(expected, &found),
beast::Severity::Warning);
fail();
}
catch (...)
{
BEAST_EXPECT(found);
}
}
{
// Error: Mix safety_level and one setting (gotta catch 'em all)
DatabaseCon::Setup::globalPragma.reset();
auto const expected =
"Failed to initialize SQL databases: Configuration file may "
"not define both \"safety_level\" and \"synchronous\"";
bool found = false;
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("safety_level", "low");
section.set("synchronous", "extra");
}
try
{
Env const env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(expected, &found),
beast::Severity::Warning);
fail();
}
catch (...)
{
BEAST_EXPECT(found);
}
}
{
// Error: Mix safety_level and one setting (gotta catch 'em all)
DatabaseCon::Setup::globalPragma.reset();
auto const expected =
"Failed to initialize SQL databases: Configuration file may "
"not define both \"safety_level\" and \"temp_store\"";
bool found = false;
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("safety_level", "high");
section.set("temp_store", "default");
}
try
{
Env const env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(expected, &found),
beast::Severity::Warning);
fail();
}
catch (...)
{
BEAST_EXPECT(found);
}
}
{
// Error: Invalid value
DatabaseCon::Setup::globalPragma.reset();
auto const expected =
"Failed to initialize SQL databases: Invalid safety_level "
"value: slow";
bool found = false;
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("safety_level", "slow");
}
try
{
Env const env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(expected, &found),
beast::Severity::Warning);
fail();
}
catch (...)
{
BEAST_EXPECT(found);
}
}
{
// Error: Invalid value
DatabaseCon::Setup::globalPragma.reset();
auto const expected =
"Failed to initialize SQL databases: Invalid journal_mode "
"value: fast";
bool found = false;
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("journal_mode", "fast");
}
try
{
Env const env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(expected, &found),
beast::Severity::Warning);
fail();
}
catch (...)
{
BEAST_EXPECT(found);
}
}
{
// Error: Invalid value
DatabaseCon::Setup::globalPragma.reset();
auto const expected =
"Failed to initialize SQL databases: Invalid synchronous "
"value: instant";
bool found = false;
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("synchronous", "instant");
}
try
{
Env const env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(expected, &found),
beast::Severity::Warning);
fail();
}
catch (...)
{
BEAST_EXPECT(found);
}
}
{
// Error: Invalid value
DatabaseCon::Setup::globalPragma.reset();
auto const expected =
"Failed to initialize SQL databases: Invalid temp_store "
"value: network";
bool found = false;
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("temp_store", "network");
}
try
{
Env const env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(expected, &found),
beast::Severity::Warning);
fail();
}
catch (...)
{
BEAST_EXPECT(found);
}
}
{
// N/A: Default values
Env env(*this);
auto const s = setupDatabaseCon(env.app().config());
if (BEAST_EXPECT(s.txPragma.size() == 4))
{
BEAST_EXPECT(s.txPragma.at(0) == "PRAGMA page_size=4096;");
BEAST_EXPECT(s.txPragma.at(1) == "PRAGMA journal_size_limit=1582080;");
BEAST_EXPECT(s.txPragma.at(2) == "PRAGMA max_page_count=4294967294;");
BEAST_EXPECT(s.txPragma.at(3) == "PRAGMA mmap_size=17179869184;");
}
}
{
// Success: Valid values
Env env = [&]() {
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("page_size", "512");
section.set("journal_size_limit", "2582080");
}
return Env(*this, std::move(p));
}();
auto const s = setupDatabaseCon(env.app().config());
if (BEAST_EXPECT(s.txPragma.size() == 4))
{
BEAST_EXPECT(s.txPragma.at(0) == "PRAGMA page_size=512;");
BEAST_EXPECT(s.txPragma.at(1) == "PRAGMA journal_size_limit=2582080;");
BEAST_EXPECT(s.txPragma.at(2) == "PRAGMA max_page_count=4294967294;");
BEAST_EXPECT(s.txPragma.at(3) == "PRAGMA mmap_size=17179869184;");
}
}
{
// Error: Invalid values
auto const expected = "Invalid page_size. Must be between 512 and 65536.";
bool found = false;
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("page_size", "256");
}
try
{
Env const env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(expected, &found),
beast::Severity::Warning);
fail();
}
catch (...)
{
BEAST_EXPECT(found);
}
}
{
// Error: Invalid values
auto const expected = "Invalid page_size. Must be between 512 and 65536.";
bool found = false;
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("page_size", "131072");
}
try
{
Env const env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(expected, &found),
beast::Severity::Warning);
fail();
}
catch (...)
{
BEAST_EXPECT(found);
}
}
{
// Error: Invalid values
auto const expected = "Invalid page_size. Must be a power of 2.";
bool found = false;
auto p = test::jtx::envconfig();
{
auto& section = p->section("sqlite");
section.set("page_size", "513");
}
try
{
Env const env(
*this,
std::move(p),
std::make_unique<CheckMessageLogs>(expected, &found),
beast::Severity::Warning);
fail();
}
catch (...)
{
BEAST_EXPECT(found);
}
}
}
//--------------------------------------------------------------------------
/**
* Verify the fetch counters are 64-bit and accumulate exact values.
*
* These counters run for the whole process lifetime. A 32-bit byte
* counter wraps in under an hour at production read rates, which
* silently corrupts any ratio built from it.
*/
void
testCounterWidths()
{
testcase("Fetch counters are 64-bit");
// The accessors must not narrow the widened members back to 32 bits.
static_assert(
std::is_same_v<
decltype(std::declval<Database const&>().getFetchTotalCount()),
std::uint64_t>,
"getFetchTotalCount must be 64-bit");
static_assert(
std::is_same_v<
decltype(std::declval<Database const&>().getFetchHitCount()),
std::uint64_t>,
"getFetchHitCount must be 64-bit");
static_assert(
std::is_same_v<decltype(std::declval<Database const&>().getFetchSize()), std::uint64_t>,
"getFetchSize must be 64-bit");
DummyScheduler scheduler;
beast::TempDir const nodeDb;
Section nodeParams;
nodeParams.set(Keys::kType, "memory");
nodeParams.set(Keys::kPath, nodeDb.path());
// No cache_size/cache_age is set, so DatabaseNodeImp builds no cache
// and every fetch reaches the backend. That makes the counts exact.
std::unique_ptr<Database> db =
Manager::instance().makeDatabase(megabytes(4), scheduler, 2, nodeParams, journal_);
// A fresh database has counted nothing.
BEAST_EXPECT(db->getFetchTotalCount() == 0);
BEAST_EXPECT(db->getFetchHitCount() == 0);
BEAST_EXPECT(db->getFetchSize() == 0);
// Store a small batch and record the exact payload byte total.
constexpr std::uint64_t kNumStored = 8;
auto const stored = createPredictableBatch(static_cast<int>(kNumStored), 12345);
BEAST_EXPECT(stored.size() == kNumStored);
storeBatch(*db, stored);
std::uint64_t expectedBytes = 0;
for (auto const& object : stored)
expectedBytes += object->getData().size();
// Storing must not move the fetch counters.
BEAST_EXPECT(db->getFetchTotalCount() == 0);
BEAST_EXPECT(db->getFetchHitCount() == 0);
BEAST_EXPECT(db->getFetchSize() == 0);
// Positive path: every fetch finds its object.
for (auto const& object : stored)
BEAST_EXPECT(db->fetchNodeObject(object->getHash(), 0) != nullptr);
BEAST_EXPECT(db->getFetchTotalCount() == kNumStored);
BEAST_EXPECT(db->getFetchHitCount() == kNumStored);
BEAST_EXPECT(db->getFetchSize() == expectedBytes);
// Negative path: hashes that were never stored count as attempts but
// not as hits, and add no bytes.
constexpr std::uint64_t kNumMissing = 5;
auto const missing = createPredictableBatch(static_cast<int>(kNumMissing), 999);
BEAST_EXPECT(missing.size() == kNumMissing);
for (auto const& object : missing)
BEAST_EXPECT(db->fetchNodeObject(object->getHash(), 0) == nullptr);
BEAST_EXPECT(db->getFetchTotalCount() == kNumStored + kNumMissing);
BEAST_EXPECT(db->getFetchHitCount() == kNumStored);
BEAST_EXPECT(db->getFetchSize() == expectedBytes);
}
//--------------------------------------------------------------------------
/**
* Verify the fetch and store duration accumulators are readable directly.
*
* Telemetry needs the mean backend latency, which is the cumulative
* duration divided by the matching operation count. Both accumulators
* must therefore be readable without a JSON round trip, must be zero on
* a fresh database, and must be independent of each other: writes may
* not move the read total and reads may not move the write total.
*/
void
testDurationAccessors()
{
testcase("Fetch and store duration accessors");
CountingScheduler scheduler;
beast::TempDir const nodeDb;
Section nodeParams;
nodeParams.set(Keys::kType, "nudb");
nodeParams.set(Keys::kPath, nodeDb.path());
// No cache_size/cache_age is set, so DatabaseNodeImp builds no cache
// and every fetch reaches the backend. That makes the counts exact.
std::unique_ptr<Database> db =
Manager::instance().makeDatabase(megabytes(4), scheduler, 2, nodeParams, journal_);
if (!BEAST_EXPECT(db))
return;
// A fresh database has done no work, so every accumulator reads zero.
BEAST_EXPECT(db->getStoreCount() == 0);
BEAST_EXPECT(db->getStoreDurationUs() == 0);
BEAST_EXPECT(db->getFetchTotalCount() == 0);
BEAST_EXPECT(db->getFetchHitCount() == 0);
BEAST_EXPECT(db->getFetchDurationUs() == 0);
// Writes must advance the write count exactly and the write duration
// past zero: the backend inserts take microseconds of real work.
constexpr std::uint64_t kNumStored = 32;
auto const stored = createPredictableBatch(static_cast<int>(kNumStored), 4321);
BEAST_EXPECT(stored.size() == kNumStored);
auto const writesBegan = std::chrono::steady_clock::now();
storeBatch(*db, stored);
auto const wallClockUs =
static_cast<std::uint64_t>(std::chrono::duration_cast<std::chrono::microseconds>(
std::chrono::steady_clock::now() - writesBegan)
.count());
BEAST_EXPECT(db->getStoreCount() == kNumStored);
BEAST_EXPECT(db->getStoreDurationUs() > 0);
// Bounded above by the wall-clock span of the loop that produced it.
// The accumulator only ever sums the backend calls made inside that
// span, so it cannot exceed it. Without this bound the `> 0` above
// would also pass for an accumulator adding a fixed constant per
// insert instead of the measured time.
BEAST_EXPECT(db->getStoreDurationUs() <= wallClockUs);
// Writes must leave the read accumulator alone. This also proves the
// read accessor does not report the write member.
BEAST_EXPECT(db->getFetchDurationUs() == 0);
auto const storeDurationAfterWrites = db->getStoreDurationUs();
// Positive path: every fetch finds its object, so the read counters
// and the read duration all advance.
for (auto const& object : stored)
BEAST_EXPECT(db->fetchNodeObject(object->getHash(), 0) != nullptr);
BEAST_EXPECT(db->getFetchTotalCount() == kNumStored);
BEAST_EXPECT(db->getFetchHitCount() == kNumStored);
expectFetchDurationMatchesReports(*db, scheduler, kNumStored);
// Reads must leave the write accumulator alone. This also proves the
// write accessor does not report the read member.
BEAST_EXPECT(db->getStoreDurationUs() == storeDurationAfterWrites);
// Negative path: a miss counts as a fetch but not as a hit, and it
// performs no write, so the write accumulator still cannot move.
constexpr std::uint64_t kNumMissing = 8;
auto const missing = createPredictableBatch(static_cast<int>(kNumMissing), 999);
BEAST_EXPECT(missing.size() == kNumMissing);
for (auto const& object : missing)
BEAST_EXPECT(db->fetchNodeObject(object->getHash(), 0) == nullptr);
BEAST_EXPECT(db->getFetchTotalCount() == kNumStored + kNumMissing);
BEAST_EXPECT(db->getFetchHitCount() == kNumStored);
BEAST_EXPECT(db->getStoreCount() == kNumStored);
BEAST_EXPECT(db->getStoreDurationUs() == storeDurationAfterWrites);
}
//--------------------------------------------------------------------------
/**
* Build a rotating nudb database over two fresh directories.
*
* @param scheduler Scheduler the database keeps a reference to; it must
* outlive the returned database.
* @param writableDir Directory for the writable backend.
* @param archiveDir Directory for the archive backend.
* @return The rotating database, or nullptr if either backend failed.
*/
std::unique_ptr<DatabaseRotatingImp>
makeRotatingDatabase(
Scheduler& scheduler,
beast::TempDir const& writableDir,
beast::TempDir const& archiveDir)
{
Section writableParams;
writableParams.set(Keys::kType, "nudb");
writableParams.set(Keys::kPath, writableDir.path());
Section archiveParams;
archiveParams.set(Keys::kType, "nudb");
archiveParams.set(Keys::kPath, archiveDir.path());
std::shared_ptr<Backend> writableBackend =
Manager::instance().makeBackend(writableParams, megabytes(4), scheduler, journal_);
std::shared_ptr<Backend> archiveBackend =
Manager::instance().makeBackend(archiveParams, megabytes(4), scheduler, journal_);
if (!writableBackend || !archiveBackend)
return nullptr;
writableBackend->open();
archiveBackend->open();
return std::make_unique<DatabaseRotatingImp>(
scheduler,
2,
std::move(writableBackend),
std::move(archiveBackend),
writableParams,
journal_);
}
/**
* Verify the rotating database records its write duration too.
*
* DatabaseRotatingImp has its own store path, separate from
* DatabaseNodeImp, and it is the path a node with online delete runs.
* A getter that only the non-rotating path feeds would read zero for
* the whole lifetime of such a node.
*/
void
testRotatingDurationAccessors()
{
testcase("Rotating store duration accessors");
CountingScheduler scheduler;
beast::TempDir const writableDir;
beast::TempDir const archiveDir;
auto rotating = makeRotatingDatabase(scheduler, writableDir, archiveDir);
if (!BEAST_EXPECT(rotating))
return;
// The private fetchNodeObject override hides the public base overload,
// so exercise the rotating store through the Database interface, which
// is also how production callers reach it.
Database& db = *rotating;
// A fresh rotating database has done no work either.
BEAST_EXPECT(db.getStoreCount() == 0);
BEAST_EXPECT(db.getStoreDurationUs() == 0);
BEAST_EXPECT(db.getFetchTotalCount() == 0);
BEAST_EXPECT(db.getFetchDurationUs() == 0);
constexpr std::uint64_t kNumStored = 32;
auto const stored = createPredictableBatch(static_cast<int>(kNumStored), 8642);
BEAST_EXPECT(stored.size() == kNumStored);
storeBatch(db, stored);
BEAST_EXPECT(db.getStoreCount() == kNumStored);
BEAST_EXPECT(db.getStoreDurationUs() > 0);
BEAST_EXPECT(db.getFetchDurationUs() == 0);
auto const storeDurationAfterWrites = db.getStoreDurationUs();
// Every object is in the writable backend, so the archive is never
// consulted and no copy-forward write happens on these reads.
for (auto const& object : stored)
BEAST_EXPECT(db.fetchNodeObject(object->getHash(), 0) != nullptr);
BEAST_EXPECT(db.getFetchTotalCount() == kNumStored);
BEAST_EXPECT(db.getFetchHitCount() == kNumStored);
expectFetchDurationMatchesReports(db, scheduler, kNumStored);
BEAST_EXPECT(db.getStoreCount() == kNumStored);
BEAST_EXPECT(db.getStoreDurationUs() == storeDurationAfterWrites);
// Negative path: a hash in neither backend misses both, so it counts
// as a fetch, not as a hit, and triggers no copy-forward write.
constexpr std::uint64_t kNumMissing = 8;
auto const missing = createPredictableBatch(static_cast<int>(kNumMissing), 1357);
BEAST_EXPECT(missing.size() == kNumMissing);
for (auto const& object : missing)
BEAST_EXPECT(db.fetchNodeObject(object->getHash(), 0) == nullptr);
BEAST_EXPECT(db.getFetchTotalCount() == kNumStored + kNumMissing);
BEAST_EXPECT(db.getFetchHitCount() == kNumStored);
BEAST_EXPECT(db.getStoreCount() == kNumStored);
BEAST_EXPECT(db.getStoreDurationUs() == storeDurationAfterWrites);
}
//--------------------------------------------------------------------------
#ifdef XRPL_ENABLE_TELEMETRY
/**
* Recording sink for the nodestore_state gauge helpers.
*
* The helpers take an ObserveFn rather than the OTel observer result
* precisely so a test can hand them somewhere else to put a name and a
* number. Emissions are kept in order, not merged into a map, so a label
* published twice is visible instead of silently overwriting itself.
*/
struct MetricSink
{
/**
* Every (metric label, value) pair published, in emission order.
*/
std::vector<std::pair<std::string, std::int64_t>> emitted;
/**
* Return a sink callable that appends into @ref emitted.
*/
telemetry::MetricsRegistry::ObserveFn
fn()
{
return
[this](char const* name, std::int64_t value) { emitted.emplace_back(name, value); };
}
/**
* Return every published label, sorted, for set comparison.
*/
[[nodiscard]] std::vector<std::string>
names() const
{
std::vector<std::string> out;
out.reserve(emitted.size());
for (auto const& entry : emitted)
out.push_back(entry.first);
std::ranges::sort(out);
return out;
}
/**
* Return the value published for @p name, or std::nullopt when the
* label was not published at all.
*
* Absence and zero must stay distinguishable: a mean over no samples
* is deliberately omitted, while a counter at zero is published.
*
* @param name Metric label to look up.
*/
[[nodiscard]] std::optional<std::int64_t>
value(std::string const& name) const
{
auto const it = std::ranges::find_if(
emitted, [&name](auto const& entry) { return entry.first == name; });
if (it == emitted.end())
return std::nullopt;
return it->second;
}
};
/**
* Build a nudb database with a non-default read-thread count and bundle.
*
* Both are set away from their defaults so the read-queue labels pin real
* forwarding rather than agreeing with a default by accident.
*
* @param dir Directory the store lives in.
* @param scheduler Scheduler the database keeps a reference to; it must
* outlive the returned database.
* @param readThreads Read threads to request.
* @return The database, or nullptr on failure.
*/
std::unique_ptr<Database>
makeMeasuredDatabase(beast::TempDir const& dir, Scheduler& scheduler, int readThreads)
{
Section params;
params.set(Keys::kType, "nudb");
params.set(Keys::kPath, dir.path());
params.set(Keys::kRqBundle, "7");
return Manager::instance().makeDatabase(
megabytes(4), scheduler, readThreads, params, journal_);
}
/**
* Verify the exact `metric` label set observeNodeStoreTotals() publishes,
* and that each derived mean is OMITTED rather than reported as zero
* before there is anything to average.
*
* The 22 label values on this gauge are the change's entire user-visible
* surface. A one-character typo in any of them produces a silently
* disjoint Prometheus series: the metric still exports, the dashboard
* panel goes blank, and nothing else fails.
*/
void
testNodeStoreTotalLabels()
{
testcase("nodestore_state totals labels");
DummyScheduler scheduler;
beast::TempDir const nodeDb;
Section nodeParams;
nodeParams.set(Keys::kType, "nudb");
nodeParams.set(Keys::kPath, nodeDb.path());
std::unique_ptr<Database> db =
Manager::instance().makeDatabase(megabytes(4), scheduler, 2, nodeParams, journal_);
if (!BEAST_EXPECT(db))
return;
// Fresh store: the eight unconditional labels are published, each at
// exactly zero, and NEITHER mean appears.
MetricSink fresh;
telemetry::MetricsRegistry::observeNodeStoreTotals(*db, fresh.fn());
std::vector<std::string> const kFreshLabels{
"node_read_bytes",
"node_reads_duration_us",
"node_reads_hit",
"node_reads_total",
"node_writes",
"node_writes_duration_us",
"node_written_bytes",
"write_load"};
BEAST_EXPECT(fresh.names() == kFreshLabels);
// No label published twice; a map-based sink would have hidden that.
BEAST_EXPECT(fresh.emitted.size() == kFreshLabels.size());
for (auto const& label : kFreshLabels)
BEAST_EXPECT(fresh.value(label) == std::int64_t{0});
// THE omission assertion. A refactor to `mean.value_or(0)` publishes
// these as a believable flat zero on a latency axis; absence is the
// only honest answer before anything has been read or written.
BEAST_EXPECT(!fresh.value("read_mean_us").has_value());
BEAST_EXPECT(!fresh.value("write_mean_us").has_value());
testNodeStoreMeanLabels(*db);
}
/**
* Verify both derived means appear once there is work to average, and
* that each is the quotient of its OWN published numerator and
* denominator.
*
* @param db Database to drive; must be freshly created.
*/
void
testNodeStoreMeanLabels(Database& db)
{
// Reads and writes are given deliberately different counts, so a mean
// wired to the wrong accessor pair -- the adjacent-call-site copy-paste
// risk -- cannot land on the right number.
constexpr std::uint64_t kNumStored = 32;
constexpr std::uint64_t kNumMissing = 8;
auto const stored = createPredictableBatch(static_cast<int>(kNumStored), 24680);
storeBatch(db, stored);
// Fetch each stored object twice, plus a batch of misses, so the read
// count is 2*32 + 8 = 72 against a write count of 32.
for (int pass = 0; pass < 2; ++pass)
{
for (auto const& object : stored)
BEAST_EXPECT(db.fetchNodeObject(object->getHash(), 0) != nullptr);
}
auto const missing = createPredictableBatch(static_cast<int>(kNumMissing), 13579);
for (auto const& object : missing)
BEAST_EXPECT(db.fetchNodeObject(object->getHash(), 0) == nullptr);
MetricSink busy;
telemetry::MetricsRegistry::observeNodeStoreTotals(db, busy.fn());
// Ten labels now: the eight above plus both means.
BEAST_EXPECT(busy.emitted.size() == 10);
BEAST_EXPECT(busy.value("read_mean_us").has_value());
BEAST_EXPECT(busy.value("write_mean_us").has_value());
// Exact counts, so the denominators below are pinned independently.
BEAST_EXPECT(busy.value("node_writes") == std::int64_t{kNumStored});
BEAST_EXPECT(
busy.value("node_reads_total") == std::int64_t{(2 * kNumStored) + kNumMissing});
BEAST_EXPECT(busy.value("node_reads_hit") == std::int64_t{2 * kNumStored});
// The two denominators differ, which is what makes the cross-checks
// below able to catch a swapped accessor pair.
BEAST_EXPECT(busy.value("node_reads_total") != busy.value("node_writes"));
// Each mean is the truncating quotient of two OTHER published labels,
// so this ties the three together without restating the helper's own
// expression. read_mean_us fed the store pair fails it.
auto const quotient = [](std::optional<std::int64_t> total,
std::optional<std::int64_t> count) {
return (total && count && *count != 0) ? std::optional<std::int64_t>{*total / *count}
: std::nullopt;
};
BEAST_EXPECT(
busy.value("read_mean_us") ==
quotient(busy.value("node_reads_duration_us"), busy.value("node_reads_total")));
BEAST_EXPECT(
busy.value("write_mean_us") ==
quotient(busy.value("node_writes_duration_us"), busy.value("node_writes")));
}
/**
* Verify observeWritePathDetail() publishes its four NuDB labels only for
* a measuring backend, and omits the two derived means until an insert
* has happened.
*/
void
testWritePathDetailLabels()
{
testcase("nodestore_state write-path labels");
DummyScheduler scheduler;
// Negative path first: a backend that does not measure its writes must
// publish NOTHING. Zeros here would read as a perfectly idle write
// path on a node whose write path is simply not instrumented.
{
beast::TempDir const memDb;
Section memParams;
memParams.set(Keys::kType, "memory");
memParams.set(Keys::kPath, memDb.path());
std::unique_ptr<Database> mem =
Manager::instance().makeDatabase(megabytes(4), scheduler, 2, memParams, journal_);
if (!BEAST_EXPECT(mem))
return;
auto const batch = createPredictableBatch(8, 111);
storeBatch(*mem, batch);
MetricSink sink;
telemetry::MetricsRegistry::observeWritePathDetail(*mem, sink.fn());
// Cause as well as state: the store really was written to, so the
// emptiness is the std::nullopt branch and not an idle database.
BEAST_EXPECT(sink.emitted.empty());
BEAST_EXPECT(mem->getStoreCount() == 8);
}
beast::TempDir const nodeDb;
Section nodeParams;
nodeParams.set(Keys::kType, "nudb");
nodeParams.set(Keys::kPath, nodeDb.path());
std::unique_ptr<Database> db =
Manager::instance().makeDatabase(megabytes(4), scheduler, 2, nodeParams, journal_);
if (!BEAST_EXPECT(db))
return;
// Measuring backend, nothing written yet: the two instantaneous
// values are published at zero while the two means are omitted. This
// pins the deliberate asymmetry -- zero is meaningful for a gauge and
// meaningless for a mean.
MetricSink fresh;
telemetry::MetricsRegistry::observeWritePathDetail(*db, fresh.fn());
std::vector<std::string> const kFreshLabels{"nudb_insert_max_us", "nudb_writers_in_flight"};
BEAST_EXPECT(fresh.names() == kFreshLabels);
BEAST_EXPECT(fresh.value("nudb_writers_in_flight") == std::int64_t{0});
BEAST_EXPECT(fresh.value("nudb_insert_max_us") == std::int64_t{0});
BEAST_EXPECT(!fresh.value("nudb_insert_mean_us").has_value());
BEAST_EXPECT(!fresh.value("nudb_writer_depth_x100").has_value());
constexpr std::uint64_t kNumStored = 16;
auto const stored = createPredictableBatch(static_cast<int>(kNumStored), 97531);
storeBatch(*db, stored);
MetricSink busy;
telemetry::MetricsRegistry::observeWritePathDetail(*db, busy.fn());
std::vector<std::string> const kBusyLabels{
"nudb_insert_max_us",
"nudb_insert_mean_us",
"nudb_writer_depth_x100",
"nudb_writers_in_flight"};
BEAST_EXPECT(busy.names() == kBusyLabels);
BEAST_EXPECT(busy.emitted.size() == kBusyLabels.size());
// Writers all returned, so the live gauge is back to exactly zero
// while the cumulative maximum stayed up.
BEAST_EXPECT(busy.value("nudb_writers_in_flight") == std::int64_t{0});
// One writing thread, so mean depth is exactly 1.00 and the x100
// fixed-point form must read exactly 100. This is the assertion that
// catches the scale being dropped (it would read 1) or applied twice
// (10000) -- either of which makes the dashboard's divide-by-100 wrong
// by two orders of magnitude.
BEAST_EXPECT(busy.value("nudb_writer_depth_x100") == std::int64_t{100});
}
/**
* Verify the seven acquire_* labels, published unconditionally, and each
* wired to its own counter.
*
* Every expected value below is distinct, so a getter cross-wired to a
* neighbouring counter cannot produce the right number anywhere.
*/
void
testAcquireStatLabels()
{
testcase("nodestore_state acquisition labels");
std::vector<std::string> const kLabels{
"acquire_aborts",
"acquire_aborts_partial",
"acquire_completions",
"acquire_deferrals",
"acquire_give_ups",
"acquire_sweep_evictions",
"acquire_timeouts"};
// A quiet node publishes all seven at zero. Unlike a mean, zero is the
// meaningful "no such event yet" reading for a counter, so omitting
// these would lose the ability to see that nothing happened.
AcquireStats const quiet;
MetricSink fresh;
telemetry::MetricsRegistry::observeAcquireStats(quiet, fresh.fn());
BEAST_EXPECT(fresh.names() == kLabels);
BEAST_EXPECT(fresh.emitted.size() == kLabels.size());
for (auto const& label : kLabels)
BEAST_EXPECT(fresh.value(label) == std::int64_t{0});
// Distinct counts per event, and aborts recorded both with and
// without partial work so the subset relationship is exercised: 5
// aborts of which 2 discarded partly built maps.
AcquireStats busy;
for (int i = 0; i < 3; ++i)
busy.recordDeferral();
for (int i = 0; i < 7; ++i)
busy.recordTimeout();
busy.recordGiveUp();
for (int i = 0; i < 2; ++i)
busy.recordAbort(true);
for (int i = 0; i < 3; ++i)
busy.recordAbort(false);
for (int i = 0; i < 11; ++i)
busy.recordCompletion();
for (int i = 0; i < 13; ++i)
busy.recordSweepEviction();
MetricSink sink;
telemetry::MetricsRegistry::observeAcquireStats(busy, sink.fn());
BEAST_EXPECT(sink.names() == kLabels);
BEAST_EXPECT(sink.value("acquire_deferrals") == std::int64_t{3});
BEAST_EXPECT(sink.value("acquire_timeouts") == std::int64_t{7});
BEAST_EXPECT(sink.value("acquire_give_ups") == std::int64_t{1});
BEAST_EXPECT(sink.value("acquire_aborts") == std::int64_t{5});
BEAST_EXPECT(sink.value("acquire_aborts_partial") == std::int64_t{2});
BEAST_EXPECT(sink.value("acquire_completions") == std::int64_t{11});
BEAST_EXPECT(sink.value("acquire_sweep_evictions") == std::int64_t{13});
}
/**
* Verify the four read-queue labels and that the two configured values
* are forwarded rather than defaulted.
*/
void
testReadQueueLabels()
{
testcase("nodestore_state read-queue labels");
DummyScheduler scheduler;
beast::TempDir const nodeDb;
// Three read threads and a bundle of 7, neither of which is the
// default (the bundle default is 4), so a helper reading the wrong
// JSON member cannot agree by coincidence.
auto db = makeMeasuredDatabase(nodeDb, scheduler, 3);
if (!BEAST_EXPECT(db))
return;
MetricSink sink;
telemetry::MetricsRegistry::observeReadQueue(*db, sink.fn());
std::vector<std::string> const kLabels{
"read_queue", "read_request_bundle", "read_threads_running", "read_threads_total"};
BEAST_EXPECT(sink.names() == kLabels);
BEAST_EXPECT(sink.emitted.size() == kLabels.size());
// Nothing has been queued for asynchronous read.
BEAST_EXPECT(sink.value("read_queue") == std::int64_t{0});
// Both configured values, exactly as requested. read_request_bundle is
// the one that would silently read 4 if the helper looked up the wrong
// JSON member, since 4 is the default.
BEAST_EXPECT(sink.value("read_threads_total") == std::int64_t{3});
BEAST_EXPECT(sink.value("read_request_bundle") == std::int64_t{7});
// The running count races with the read threads parking themselves, so
// only its bounds are assertable: present, non-negative, and never
// above the total. Compared as unwrapped values, since comparing two
// optionals would also pass with both absent.
auto const running = sink.value("read_threads_running");
BEAST_EXPECT(running.has_value());
// Plain `if` rather than branching on BEAST_EXPECT's result: the
// macro's return value hides the check from static analysis, which
// then reads the dereferences below as unguarded.
if (running.has_value())
{
BEAST_EXPECT(*running >= 0);
BEAST_EXPECT(*running <= 3);
}
}
#endif // XRPL_ENABLE_TELEMETRY
void
run() override
{
testCounterWidths();
testDurationAccessors();
testRotatingDurationAccessors();
#ifdef XRPL_ENABLE_TELEMETRY
// The four gauge helpers are declared and defined only in a
// telemetry-enabled build, so their label assertions are guarded the
// same way.
testNodeStoreTotalLabels();
testWritePathDetailLabels();
testAcquireStatLabels();
testReadQueueLabels();
#endif
testConfig();
}
};
BEAST_DEFINE_TESTSUITE(DatabaseConfig, nodestore, xrpl);
} // namespace xrpl::node_store