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rocksdb/db/compaction_job.cc

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// Copyright (c) 2013, Facebook, Inc. All rights reserved.
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree. An additional grant
// of patent rights can be found in the PATENTS file in the same directory.
//
// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file. See the AUTHORS file for names of contributors.
#include "db/compaction_job.h"
#ifndef __STDC_FORMAT_MACROS
#define __STDC_FORMAT_MACROS
#endif
#include <inttypes.h>
#include <algorithm>
#include <functional>
#include <vector>
#include <memory>
#include <list>
#include <set>
#include <thread>
#include <utility>
#include "db/builder.h"
#include "db/db_iter.h"
#include "db/dbformat.h"
#include "db/event_helpers.h"
#include "db/filename.h"
#include "db/log_reader.h"
#include "db/log_writer.h"
#include "db/memtable.h"
#include "db/memtable_list.h"
#include "db/merge_context.h"
#include "db/merge_helper.h"
#include "db/version_set.h"
#include "port/likely.h"
#include "port/port.h"
#include "rocksdb/db.h"
#include "rocksdb/env.h"
#include "rocksdb/statistics.h"
#include "rocksdb/status.h"
#include "rocksdb/table.h"
#include "table/block.h"
#include "table/block_based_table_factory.h"
#include "table/merger.h"
#include "table/table_builder.h"
#include "util/coding.h"
#include "util/file_reader_writer.h"
#include "util/iostats_context_imp.h"
#include "util/log_buffer.h"
#include "util/logging.h"
#include "util/mutexlock.h"
#include "util/perf_context_imp.h"
#include "util/stop_watch.h"
#include "util/string_util.h"
#include "util/sync_point.h"
#include "util/thread_status_util.h"
namespace rocksdb {
// Maintains state for each sub-compaction
struct CompactionJob::SubcompactionState {
Compaction* compaction;
std::unique_ptr<CompactionIterator> c_iter;
// The boundaries of the key-range this compaction is interested in. No two
// subcompactions may have overlapping key-ranges.
// 'start' is inclusive, 'end' is exclusive, and nullptr means unbounded
Slice *start, *end;
// The return status of this subcompaction
Status status;
// Files produced by this subcompaction
struct Output {
FileMetaData meta;
bool finished;
std::shared_ptr<const TableProperties> table_properties;
};
// State kept for output being generated
std::vector<Output> outputs;
std::unique_ptr<WritableFileWriter> outfile;
std::unique_ptr<TableBuilder> builder;
Output* current_output() {
if (outputs.empty()) {
// This subcompaction's outptut could be empty if compaction was aborted
// before this subcompaction had a chance to generate any output files.
// When subcompactions are executed sequentially this is more likely and
// will be particulalry likely for the later subcompactions to be empty.
// Once they are run in parallel however it should be much rarer.
return nullptr;
} else {
return &outputs.back();
}
}
// State during the subcompaction
uint64_t total_bytes;
uint64_t num_input_records;
uint64_t num_output_records;
CompactionJobStats compaction_job_stats;
uint64_t approx_size;
SubcompactionState(Compaction* c, Slice* _start, Slice* _end,
uint64_t size = 0)
: compaction(c),
start(_start),
end(_end),
outfile(nullptr),
builder(nullptr),
total_bytes(0),
num_input_records(0),
num_output_records(0),
approx_size(size) {
assert(compaction != nullptr);
}
SubcompactionState(SubcompactionState&& o) { *this = std::move(o); }
SubcompactionState& operator=(SubcompactionState&& o) {
compaction = std::move(o.compaction);
start = std::move(o.start);
end = std::move(o.end);
status = std::move(o.status);
outputs = std::move(o.outputs);
outfile = std::move(o.outfile);
builder = std::move(o.builder);
total_bytes = std::move(o.total_bytes);
num_input_records = std::move(o.num_input_records);
num_output_records = std::move(o.num_output_records);
compaction_job_stats = std::move(o.compaction_job_stats);
approx_size = std::move(o.approx_size);
return *this;
}
// Because member unique_ptrs do not have these.
SubcompactionState(const SubcompactionState&) = delete;
SubcompactionState& operator=(const SubcompactionState&) = delete;
};
// Maintains state for the entire compaction
struct CompactionJob::CompactionState {
Compaction* const compaction;
// REQUIRED: subcompaction states are stored in order of increasing
// key-range
std::vector<CompactionJob::SubcompactionState> sub_compact_states;
Status status;
uint64_t total_bytes;
uint64_t num_input_records;
uint64_t num_output_records;
explicit CompactionState(Compaction* c)
: compaction(c),
total_bytes(0),
num_input_records(0),
num_output_records(0) {}
size_t NumOutputFiles() {
size_t total = 0;
for (auto& s : sub_compact_states) {
total += s.outputs.size();
}
return total;
}
Slice SmallestUserKey() {
for (const auto& sub_compact_state : sub_compact_states) {
if (!sub_compact_state.outputs.empty() &&
sub_compact_state.outputs[0].finished) {
return sub_compact_state.outputs[0].meta.smallest.user_key();
}
}
// If there is no finished output, return an empty slice.
return Slice(nullptr, 0);
}
Slice LargestUserKey() {
for (auto it = sub_compact_states.rbegin(); it < sub_compact_states.rend();
++it) {
if (!it->outputs.empty() && it->current_output()->finished) {
assert(it->current_output() != nullptr);
return it->current_output()->meta.largest.user_key();
}
}
// If there is no finished output, return an empty slice.
return Slice(nullptr, 0);
}
};
void CompactionJob::AggregateStatistics() {
for (SubcompactionState& sc : compact_->sub_compact_states) {
compact_->total_bytes += sc.total_bytes;
compact_->num_input_records += sc.num_input_records;
compact_->num_output_records += sc.num_output_records;
}
if (compaction_job_stats_) {
for (SubcompactionState& sc : compact_->sub_compact_states) {
compaction_job_stats_->Add(sc.compaction_job_stats);
}
}
}
CompactionJob::CompactionJob(
int job_id, Compaction* compaction, const DBOptions& db_options,
const EnvOptions& env_options, VersionSet* versions,
std::atomic<bool>* shutting_down, LogBuffer* log_buffer,
Directory* db_directory, Directory* output_directory, Statistics* stats,
std::vector<SequenceNumber> existing_snapshots,
std::shared_ptr<Cache> table_cache, EventLogger* event_logger,
bool paranoid_file_checks, bool measure_io_stats, const std::string& dbname,
CompactionJobStats* compaction_job_stats)
: job_id_(job_id),
compact_(new CompactionState(compaction)),
compaction_job_stats_(compaction_job_stats),
compaction_stats_(1),
dbname_(dbname),
db_options_(db_options),
env_options_(env_options),
env_(db_options.env),
versions_(versions),
shutting_down_(shutting_down),
log_buffer_(log_buffer),
db_directory_(db_directory),
output_directory_(output_directory),
stats_(stats),
existing_snapshots_(std::move(existing_snapshots)),
table_cache_(std::move(table_cache)),
event_logger_(event_logger),
paranoid_file_checks_(paranoid_file_checks),
measure_io_stats_(measure_io_stats) {
assert(log_buffer_ != nullptr);
ThreadStatusUtil::SetColumnFamily(compact_->compaction->column_family_data());
ThreadStatusUtil::SetThreadOperation(ThreadStatus::OP_COMPACTION);
ReportStartedCompaction(compaction);
}
CompactionJob::~CompactionJob() {
assert(compact_ == nullptr);
ThreadStatusUtil::ResetThreadStatus();
}
void CompactionJob::ReportStartedCompaction(
Compaction* compaction) {
ThreadStatusUtil::SetColumnFamily(
compact_->compaction->column_family_data());
ThreadStatusUtil::SetThreadOperationProperty(
ThreadStatus::COMPACTION_JOB_ID,
job_id_);
ThreadStatusUtil::SetThreadOperationProperty(
ThreadStatus::COMPACTION_INPUT_OUTPUT_LEVEL,
(static_cast<uint64_t>(compact_->compaction->start_level()) << 32) +
compact_->compaction->output_level());
// In the current design, a CompactionJob is always created
// for non-trivial compaction.
assert(compaction->IsTrivialMove() == false ||
compaction->is_manual_compaction() == true);
ThreadStatusUtil::SetThreadOperationProperty(
ThreadStatus::COMPACTION_PROP_FLAGS,
compaction->is_manual_compaction() +
(compaction->deletion_compaction() << 1));
ThreadStatusUtil::SetThreadOperationProperty(
ThreadStatus::COMPACTION_TOTAL_INPUT_BYTES,
compaction->CalculateTotalInputSize());
IOSTATS_RESET(bytes_written);
IOSTATS_RESET(bytes_read);
ThreadStatusUtil::SetThreadOperationProperty(
ThreadStatus::COMPACTION_BYTES_WRITTEN, 0);
ThreadStatusUtil::SetThreadOperationProperty(
ThreadStatus::COMPACTION_BYTES_READ, 0);
// Set the thread operation after operation properties
// to ensure GetThreadList() can always show them all together.
ThreadStatusUtil::SetThreadOperation(
ThreadStatus::OP_COMPACTION);
if (compaction_job_stats_) {
compaction_job_stats_->is_manual_compaction =
compaction->is_manual_compaction();
}
}
void CompactionJob::Prepare() {
AutoThreadOperationStageUpdater stage_updater(
ThreadStatus::STAGE_COMPACTION_PREPARE);
// Generate file_levels_ for compaction berfore making Iterator
auto* c = compact_->compaction;
assert(c->column_family_data() != nullptr);
assert(c->column_family_data()->current()->storage_info()
->NumLevelFiles(compact_->compaction->level()) > 0);
// Is this compaction producing files at the bottommost level?
bottommost_level_ = c->bottommost_level();
if (c->ShouldFormSubcompactions()) {
const uint64_t start_micros = env_->NowMicros();
GenSubcompactionBoundaries();
MeasureTime(stats_, SUBCOMPACTION_SETUP_TIME,
env_->NowMicros() - start_micros);
assert(sizes_.size() == boundaries_.size() + 1);
for (size_t i = 0; i <= boundaries_.size(); i++) {
Slice* start = i == 0 ? nullptr : &boundaries_[i - 1];
Slice* end = i == boundaries_.size() ? nullptr : &boundaries_[i];
compact_->sub_compact_states.emplace_back(c, start, end, sizes_[i]);
}
MeasureTime(stats_, NUM_SUBCOMPACTIONS_SCHEDULED,
compact_->sub_compact_states.size());
} else {
compact_->sub_compact_states.emplace_back(c, nullptr, nullptr);
}
}
struct RangeWithSize {
Range range;
uint64_t size;
RangeWithSize(const Slice& a, const Slice& b, uint64_t s = 0)
: range(a, b), size(s) {}
};
bool SliceCompare(const Comparator* cmp, const Slice& a, const Slice& b) {
// Returns true if a < b
return cmp->Compare(ExtractUserKey(a), ExtractUserKey(b)) < 0;
}
// Generates a histogram representing potential divisions of key ranges from
// the input. It adds the starting and/or ending keys of certain input files
// to the working set and then finds the approximate size of data in between
// each consecutive pair of slices. Then it divides these ranges into
// consecutive groups such that each group has a similar size.
void CompactionJob::GenSubcompactionBoundaries() {
auto* c = compact_->compaction;
auto* cfd = c->column_family_data();
std::set<Slice, std::function<bool(const Slice& a, const Slice& b)> > bounds(
std::bind(&SliceCompare, cfd->user_comparator(), std::placeholders::_1,
std::placeholders::_2));
int start_lvl = c->start_level();
int out_lvl = c->output_level();
// Add the starting and/or ending key of certain input files as a potential
// boundary (because we're inserting into a set, it avoids duplicates)
for (size_t lvl_idx = 0; lvl_idx < c->num_input_levels(); lvl_idx++) {
int lvl = c->level(lvl_idx);
if (lvl >= start_lvl && lvl <= out_lvl) {
const LevelFilesBrief* flevel = c->input_levels(lvl_idx);
size_t num_files = flevel->num_files;
if (num_files == 0) {
break;
}
if (lvl == 0) {
// For level 0 add the starting and ending key of each file since the
// files may have greatly differing key ranges (not range-partitioned)
for (size_t i = 0; i < num_files; i++) {
bounds.emplace(flevel->files[i].smallest_key);
bounds.emplace(flevel->files[i].largest_key);
}
} else {
// For all other levels add the smallest/largest key in the level to
// encompass the range covered by that level
bounds.emplace(flevel->files[0].smallest_key);
bounds.emplace(flevel->files[num_files - 1].largest_key);
if (lvl == out_lvl) {
// For the last level include the starting keys of all files since
// the last level is the largest and probably has the widest key
// range. Since it's range partitioned, the ending key of one file
// and the starting key of the next are very close (or identical).
for (size_t i = 1; i < num_files; i++) {
bounds.emplace(flevel->files[i].smallest_key);
}
}
}
}
}
// Combine consecutive pairs of boundaries into ranges with an approximate
// size of data covered by keys in that range
uint64_t sum = 0;
std::vector<RangeWithSize> ranges;
auto* v = cfd->current();
for (auto it = bounds.begin();;) {
const Slice a = *it;
it++;
if (it == bounds.end()) {
break;
}
const Slice b = *it;
uint64_t size = versions_->ApproximateSize(v, a, b, start_lvl, out_lvl + 1);
ranges.emplace_back(a, b, size);
sum += size;
}
// Group the ranges into subcompactions
const double min_file_fill_percent = 4.0 / 5;
uint64_t max_output_files = std::ceil(
sum / min_file_fill_percent /
cfd->GetCurrentMutableCFOptions()->MaxFileSizeForLevel(out_lvl));
uint64_t subcompactions =
std::min({static_cast<uint64_t>(ranges.size()),
static_cast<uint64_t>(db_options_.max_subcompactions),
max_output_files});
double mean = sum * 1.0 / subcompactions;
if (subcompactions > 1) {
// Greedily add ranges to the subcompaction until the sum of the ranges'
// sizes becomes >= the expected mean size of a subcompaction
sum = 0;
for (size_t i = 0; i < ranges.size() - 1; i++) {
if (subcompactions == 1) {
// If there's only one left to schedule then it goes to the end so no
// need to put an end boundary
break;
}
sum += ranges[i].size;
if (sum >= mean) {
boundaries_.emplace_back(ExtractUserKey(ranges[i].range.limit));
sizes_.emplace_back(sum);
subcompactions--;
sum = 0;
}
}
sizes_.emplace_back(sum + ranges.back().size);
} else {
// Only one range so its size is the total sum of sizes computed above
sizes_.emplace_back(sum);
}
}
Status CompactionJob::Run() {
AutoThreadOperationStageUpdater stage_updater(
ThreadStatus::STAGE_COMPACTION_RUN);
TEST_SYNC_POINT("CompactionJob::Run():Start");
log_buffer_->FlushBufferToLog();
LogCompaction();
const size_t num_threads = compact_->sub_compact_states.size();
assert(num_threads > 0);
const uint64_t start_micros = env_->NowMicros();
// Launch a thread for each of subcompactions 1...num_threads-1
std::vector<std::thread> thread_pool;
thread_pool.reserve(num_threads - 1);
for (size_t i = 1; i < compact_->sub_compact_states.size(); i++) {
thread_pool.emplace_back(&CompactionJob::ProcessKeyValueCompaction, this,
&compact_->sub_compact_states[i]);
}
// Always schedule the first subcompaction (whether or not there are also
// others) in the current thread to be efficient with resources
ProcessKeyValueCompaction(&compact_->sub_compact_states[0]);
// Wait for all other threads (if there are any) to finish execution
for (auto& thread : thread_pool) {
thread.join();
}
if (output_directory_ && !db_options_.disableDataSync) {
output_directory_->Fsync();
}
compaction_stats_.micros = env_->NowMicros() - start_micros;
MeasureTime(stats_, COMPACTION_TIME, compaction_stats_.micros);
// Check if any thread encountered an error during execution
Status status;
for (const auto& state : compact_->sub_compact_states) {
if (!state.status.ok()) {
status = state.status;
break;
}
}
TablePropertiesCollection tp;
for (const auto& state : compact_->sub_compact_states) {
for (const auto& output : state.outputs) {
auto fn = TableFileName(db_options_.db_paths, output.meta.fd.GetNumber(),
output.meta.fd.GetPathId());
tp[fn] = output.table_properties;
}
}
compact_->compaction->SetOutputTableProperties(std::move(tp));
// Finish up all book-keeping to unify the subcompaction results
AggregateStatistics();
UpdateCompactionStats();
RecordCompactionIOStats();
LogFlush(db_options_.info_log);
TEST_SYNC_POINT("CompactionJob::Run():End");
compact_->status = status;
return status;
}
Status CompactionJob::Install(const MutableCFOptions& mutable_cf_options,
InstrumentedMutex* db_mutex) {
AutoThreadOperationStageUpdater stage_updater(
ThreadStatus::STAGE_COMPACTION_INSTALL);
db_mutex->AssertHeld();
Status status = compact_->status;
ColumnFamilyData* cfd = compact_->compaction->column_family_data();
cfd->internal_stats()->AddCompactionStats(
compact_->compaction->output_level(), compaction_stats_);
if (status.ok()) {
status = InstallCompactionResults(mutable_cf_options, db_mutex);
}
VersionStorageInfo::LevelSummaryStorage tmp;
auto vstorage = cfd->current()->storage_info();
const auto& stats = compaction_stats_;
LogToBuffer(
log_buffer_,
"[%s] compacted to: %s, MB/sec: %.1f rd, %.1f wr, level %d, "
"files in(%d, %d) out(%d) "
"MB in(%.1f, %.1f) out(%.1f), read-write-amplify(%.1f) "
"write-amplify(%.1f) %s, records in: %d, records dropped: %d\n",
cfd->GetName().c_str(), vstorage->LevelSummary(&tmp),
(stats.bytes_read_non_output_levels + stats.bytes_read_output_level) /
static_cast<double>(stats.micros),
stats.bytes_written / static_cast<double>(stats.micros),
compact_->compaction->output_level(),
stats.num_input_files_in_non_output_levels,
stats.num_input_files_in_output_level,
stats.num_output_files,
stats.bytes_read_non_output_levels / 1048576.0,
stats.bytes_read_output_level / 1048576.0,
stats.bytes_written / 1048576.0,
(stats.bytes_written + stats.bytes_read_output_level +
stats.bytes_read_non_output_levels) /
static_cast<double>(stats.bytes_read_non_output_levels),
stats.bytes_written /
static_cast<double>(stats.bytes_read_non_output_levels),
status.ToString().c_str(), stats.num_input_records,
stats.num_dropped_records);
UpdateCompactionJobStats(stats);
auto stream = event_logger_->LogToBuffer(log_buffer_);
stream << "job" << job_id_
<< "event" << "compaction_finished"
<< "compaction_time_micros" << compaction_stats_.micros
<< "output_level" << compact_->compaction->output_level()
<< "num_output_files" << compact_->NumOutputFiles()
<< "total_output_size" << compact_->total_bytes
<< "num_input_records" << compact_->num_input_records
<< "num_output_records" << compact_->num_output_records
<< "num_subcompactions" << compact_->sub_compact_states.size();
if (measure_io_stats_ && compaction_job_stats_ != nullptr) {
stream << "file_write_nanos" << compaction_job_stats_->file_write_nanos;
stream << "file_range_sync_nanos"
<< compaction_job_stats_->file_range_sync_nanos;
stream << "file_fsync_nanos" << compaction_job_stats_->file_fsync_nanos;
stream << "file_prepare_write_nanos"
<< compaction_job_stats_->file_prepare_write_nanos;
}
stream << "lsm_state";
stream.StartArray();
for (int level = 0; level < vstorage->num_levels(); ++level) {
stream << vstorage->NumLevelFiles(level);
}
stream.EndArray();
CleanupCompaction();
return status;
}
void CompactionJob::ProcessKeyValueCompaction(SubcompactionState* sub_compact) {
assert(sub_compact != nullptr);
std::unique_ptr<InternalIterator> input(
versions_->MakeInputIterator(sub_compact->compaction));
AutoThreadOperationStageUpdater stage_updater(
ThreadStatus::STAGE_COMPACTION_PROCESS_KV);
// I/O measurement variables
PerfLevel prev_perf_level = PerfLevel::kEnableTime;
const uint64_t kRecordStatsEvery = 1000;
uint64_t prev_write_nanos = 0;
uint64_t prev_fsync_nanos = 0;
uint64_t prev_range_sync_nanos = 0;
uint64_t prev_prepare_write_nanos = 0;
if (measure_io_stats_) {
prev_perf_level = GetPerfLevel();
SetPerfLevel(PerfLevel::kEnableTime);
prev_write_nanos = iostats_context.write_nanos;
prev_fsync_nanos = iostats_context.fsync_nanos;
prev_range_sync_nanos = iostats_context.range_sync_nanos;
prev_prepare_write_nanos = iostats_context.prepare_write_nanos;
}
ColumnFamilyData* cfd = sub_compact->compaction->column_family_data();
auto compaction_filter = cfd->ioptions()->compaction_filter;
std::unique_ptr<CompactionFilter> compaction_filter_from_factory = nullptr;
if (compaction_filter == nullptr) {
compaction_filter_from_factory =
sub_compact->compaction->CreateCompactionFilter();
compaction_filter = compaction_filter_from_factory.get();
}
MergeHelper merge(
env_, cfd->user_comparator(), cfd->ioptions()->merge_operator,
compaction_filter, db_options_.info_log.get(),
cfd->ioptions()->min_partial_merge_operands,
false /* internal key corruption is expected */,
existing_snapshots_.empty() ? 0 : existing_snapshots_.back(),
compact_->compaction->level(), db_options_.statistics.get());
TEST_SYNC_POINT("CompactionJob::Run():Inprogress");
Slice* start = sub_compact->start;
Slice* end = sub_compact->end;
if (start != nullptr) {
IterKey start_iter;
start_iter.SetInternalKey(*start, kMaxSequenceNumber, kValueTypeForSeek);
input->Seek(start_iter.GetKey());
} else {
input->SeekToFirst();
}
Status status;
sub_compact->c_iter.reset(new CompactionIterator(
input.get(), cfd->user_comparator(), &merge, versions_->LastSequence(),
&existing_snapshots_, env_, false, sub_compact->compaction,
compaction_filter));
auto c_iter = sub_compact->c_iter.get();
c_iter->SeekToFirst();
const auto& c_iter_stats = c_iter->iter_stats();
// TODO(noetzli): check whether we could check !shutting_down_->... only
// only occasionally (see diff D42687)
while (status.ok() && !shutting_down_->load(std::memory_order_acquire) &&
!cfd->IsDropped() && c_iter->Valid()) {
// Invariant: c_iter.status() is guaranteed to be OK if c_iter->Valid()
// returns true.
const Slice& key = c_iter->key();
const Slice& value = c_iter->value();
// If an end key (exclusive) is specified, check if the current key is
// >= than it and exit if it is because the iterator is out of its range
if (end != nullptr &&
cfd->user_comparator()->Compare(c_iter->user_key(), *end) >= 0) {
break;
} else if (sub_compact->compaction->ShouldStopBefore(key) &&
sub_compact->builder != nullptr) {
status = FinishCompactionOutputFile(input->status(), sub_compact);
if (!status.ok()) {
break;
}
}
if (c_iter_stats.num_input_records % kRecordStatsEvery ==
kRecordStatsEvery - 1) {
RecordDroppedKeys(c_iter_stats, &sub_compact->compaction_job_stats);
c_iter->ResetRecordCounts();
RecordCompactionIOStats();
}
// Open output file if necessary
if (sub_compact->builder == nullptr) {
status = OpenCompactionOutputFile(sub_compact);
if (!status.ok()) {
break;
}
}
assert(sub_compact->builder != nullptr);
assert(sub_compact->current_output() != nullptr);
sub_compact->builder->Add(key, value);
sub_compact->current_output()->meta.UpdateBoundaries(
key, c_iter->ikey().sequence);
sub_compact->num_output_records++;
// Close output file if it is big enough
// TODO(aekmekji): determine if file should be closed earlier than this
// during subcompactions (i.e. if output size, estimated by input size, is
// going to be 1.2MB and max_output_file_size = 1MB, prefer to have 0.6MB
// and 0.6MB instead of 1MB and 0.2MB)
if (sub_compact->builder->FileSize() >=
sub_compact->compaction->max_output_file_size()) {
status = FinishCompactionOutputFile(input->status(), sub_compact);
}
c_iter->Next();
}
sub_compact->num_input_records = c_iter_stats.num_input_records;
sub_compact->compaction_job_stats.num_input_deletion_records =
c_iter_stats.num_input_deletion_records;
sub_compact->compaction_job_stats.num_corrupt_keys =
c_iter_stats.num_input_corrupt_records;
sub_compact->compaction_job_stats.total_input_raw_key_bytes +=
c_iter_stats.total_input_raw_key_bytes;
sub_compact->compaction_job_stats.total_input_raw_value_bytes +=
c_iter_stats.total_input_raw_value_bytes;
RecordTick(stats_, FILTER_OPERATION_TOTAL_TIME,
c_iter_stats.total_filter_time);
RecordDroppedKeys(c_iter_stats, &sub_compact->compaction_job_stats);
RecordCompactionIOStats();
if (status.ok() &&
(shutting_down_->load(std::memory_order_acquire) || cfd->IsDropped())) {
status = Status::ShutdownInProgress(
"Database shutdown or Column family drop during compaction");
}
if (status.ok() && sub_compact->builder != nullptr) {
status = FinishCompactionOutputFile(input->status(), sub_compact);
}
if (status.ok()) {
status = input->status();
}
if (measure_io_stats_) {
sub_compact->compaction_job_stats.file_write_nanos +=
iostats_context.write_nanos - prev_write_nanos;
sub_compact->compaction_job_stats.file_fsync_nanos +=
iostats_context.fsync_nanos - prev_fsync_nanos;
sub_compact->compaction_job_stats.file_range_sync_nanos +=
iostats_context.range_sync_nanos - prev_range_sync_nanos;
sub_compact->compaction_job_stats.file_prepare_write_nanos +=
iostats_context.prepare_write_nanos - prev_prepare_write_nanos;
if (prev_perf_level != PerfLevel::kEnableTime) {
SetPerfLevel(prev_perf_level);
}
}
sub_compact->c_iter.reset();
input.reset();
sub_compact->status = status;
}
void CompactionJob::RecordDroppedKeys(
const CompactionIteratorStats& c_iter_stats,
CompactionJobStats* compaction_job_stats) {
if (c_iter_stats.num_record_drop_user > 0) {
RecordTick(stats_, COMPACTION_KEY_DROP_USER,
c_iter_stats.num_record_drop_user);
}
if (c_iter_stats.num_record_drop_hidden > 0) {
RecordTick(stats_, COMPACTION_KEY_DROP_NEWER_ENTRY,
c_iter_stats.num_record_drop_hidden);
if (compaction_job_stats) {
compaction_job_stats->num_records_replaced +=
c_iter_stats.num_record_drop_hidden;
}
}
if (c_iter_stats.num_record_drop_obsolete > 0) {
RecordTick(stats_, COMPACTION_KEY_DROP_OBSOLETE,
c_iter_stats.num_record_drop_obsolete);
if (compaction_job_stats) {
compaction_job_stats->num_expired_deletion_records +=
c_iter_stats.num_record_drop_obsolete;
}
}
}
Status CompactionJob::FinishCompactionOutputFile(
const Status& input_status, SubcompactionState* sub_compact) {
AutoThreadOperationStageUpdater stage_updater(
ThreadStatus::STAGE_COMPACTION_SYNC_FILE);
assert(sub_compact != nullptr);
assert(sub_compact->outfile);
assert(sub_compact->builder != nullptr);
assert(sub_compact->current_output() != nullptr);
uint64_t output_number = sub_compact->current_output()->meta.fd.GetNumber();
assert(output_number != 0);
TableProperties table_properties;
// Check for iterator errors
Status s = input_status;
auto meta = &sub_compact->current_output()->meta;
const uint64_t current_entries = sub_compact->builder->NumEntries();
meta->marked_for_compaction = sub_compact->builder->NeedCompact();
if (s.ok()) {
s = sub_compact->builder->Finish();
} else {
sub_compact->builder->Abandon();
}
const uint64_t current_bytes = sub_compact->builder->FileSize();
meta->fd.file_size = current_bytes;
sub_compact->current_output()->finished = true;
sub_compact->total_bytes += current_bytes;
// Finish and check for file errors
if (s.ok() && !db_options_.disableDataSync) {
StopWatch sw(env_, stats_, COMPACTION_OUTFILE_SYNC_MICROS);
s = sub_compact->outfile->Sync(db_options_.use_fsync);
}
if (s.ok()) {
s = sub_compact->outfile->Close();
}
sub_compact->outfile.reset();
if (s.ok() && current_entries > 0) {
// Verify that the table is usable
ColumnFamilyData* cfd = sub_compact->compaction->column_family_data();
InternalIterator* iter = cfd->table_cache()->NewIterator(
ReadOptions(), env_options_, cfd->internal_comparator(), meta->fd,
nullptr, cfd->internal_stats()->GetFileReadHist(
compact_->compaction->output_level()),
false);
s = iter->status();
if (s.ok() && paranoid_file_checks_) {
for (iter->SeekToFirst(); iter->Valid(); iter->Next()) {}
s = iter->status();
}
delete iter;
if (s.ok()) {
auto tp = sub_compact->builder->GetTableProperties();
sub_compact->current_output()->table_properties =
std::make_shared<TableProperties>(tp);
TableFileCreationInfo info(std::move(tp));
info.db_name = dbname_;
info.cf_name = cfd->GetName();
info.file_path =
TableFileName(cfd->ioptions()->db_paths, meta->fd.GetNumber(),
meta->fd.GetPathId());
info.file_size = meta->fd.GetFileSize();
info.job_id = job_id_;
Log(InfoLogLevel::INFO_LEVEL, db_options_.info_log,
"[%s] [JOB %d] Generated table #%" PRIu64 ": %" PRIu64
" keys, %" PRIu64 " bytes%s",
cfd->GetName().c_str(), job_id_, output_number, current_entries,
current_bytes,
meta->marked_for_compaction ? " (need compaction)" : "");
EventHelpers::LogAndNotifyTableFileCreation(
event_logger_, cfd->ioptions()->listeners, meta->fd, info);
}
}
sub_compact->builder.reset();
return s;
}
Status CompactionJob::InstallCompactionResults(
const MutableCFOptions& mutable_cf_options, InstrumentedMutex* db_mutex) {
db_mutex->AssertHeld();
auto* compaction = compact_->compaction;
// paranoia: verify that the files that we started with
// still exist in the current version and in the same original level.
// This ensures that a concurrent compaction did not erroneously
// pick the same files to compact_.
if (!versions_->VerifyCompactionFileConsistency(compaction)) {
Compaction::InputLevelSummaryBuffer inputs_summary;
Log(InfoLogLevel::ERROR_LEVEL, db_options_.info_log,
"[%s] [JOB %d] Compaction %s aborted",
compaction->column_family_data()->GetName().c_str(), job_id_,
compaction->InputLevelSummary(&inputs_summary));
return Status::Corruption("Compaction input files inconsistent");
}
{
Compaction::InputLevelSummaryBuffer inputs_summary;
Log(InfoLogLevel::INFO_LEVEL, db_options_.info_log,
"[%s] [JOB %d] Compacted %s => %" PRIu64 " bytes",
compaction->column_family_data()->GetName().c_str(), job_id_,
compaction->InputLevelSummary(&inputs_summary), compact_->total_bytes);
}
// Add compaction outputs
compaction->AddInputDeletions(compact_->compaction->edit());
for (const auto& sub_compact : compact_->sub_compact_states) {
for (const auto& out : sub_compact.outputs) {
compaction->edit()->AddFile(compaction->output_level(), out.meta);
}
}
return versions_->LogAndApply(compaction->column_family_data(),
mutable_cf_options, compaction->edit(),
db_mutex, db_directory_);
}
void CompactionJob::RecordCompactionIOStats() {
RecordTick(stats_, COMPACT_READ_BYTES, IOSTATS(bytes_read));
ThreadStatusUtil::IncreaseThreadOperationProperty(
ThreadStatus::COMPACTION_BYTES_READ, IOSTATS(bytes_read));
IOSTATS_RESET(bytes_read);
RecordTick(stats_, COMPACT_WRITE_BYTES, IOSTATS(bytes_written));
ThreadStatusUtil::IncreaseThreadOperationProperty(
ThreadStatus::COMPACTION_BYTES_WRITTEN, IOSTATS(bytes_written));
IOSTATS_RESET(bytes_written);
}
Status CompactionJob::OpenCompactionOutputFile(
SubcompactionState* sub_compact) {
assert(sub_compact != nullptr);
assert(sub_compact->builder == nullptr);
// no need to lock because VersionSet::next_file_number_ is atomic
uint64_t file_number = versions_->NewFileNumber();
// Make the output file
unique_ptr<WritableFile> writable_file;
std::string fname = TableFileName(db_options_.db_paths, file_number,
sub_compact->compaction->output_path_id());
Status s = NewWritableFile(env_, fname, &writable_file, env_options_);
if (!s.ok()) {
Log(InfoLogLevel::ERROR_LEVEL, db_options_.info_log,
"[%s] [JOB %d] OpenCompactionOutputFiles for table #%" PRIu64
" fails at NewWritableFile with status %s",
sub_compact->compaction->column_family_data()->GetName().c_str(),
job_id_, file_number, s.ToString().c_str());
LogFlush(db_options_.info_log);
return s;
}
SubcompactionState::Output out;
out.meta.fd =
FileDescriptor(file_number, sub_compact->compaction->output_path_id(), 0);
out.finished = false;
sub_compact->outputs.push_back(out);
writable_file->SetIOPriority(Env::IO_LOW);
writable_file->SetPreallocationBlockSize(static_cast<size_t>(
sub_compact->compaction->OutputFilePreallocationSize()));
sub_compact->outfile.reset(
new WritableFileWriter(std::move(writable_file), env_options_));
ColumnFamilyData* cfd = sub_compact->compaction->column_family_data();
// If the Column family flag is to only optimize filters for hits,
// we can skip creating filters if this is the bottommost_level where
// data is going to be found
bool skip_filters =
cfd->ioptions()->optimize_filters_for_hits && bottommost_level_;
sub_compact->builder.reset(NewTableBuilder(
*cfd->ioptions(), cfd->internal_comparator(),
cfd->int_tbl_prop_collector_factories(), cfd->GetID(),
sub_compact->outfile.get(), sub_compact->compaction->output_compression(),
cfd->ioptions()->compression_opts, skip_filters));
LogFlush(db_options_.info_log);
return s;
}
void CompactionJob::CleanupCompaction() {
for (SubcompactionState& sub_compact : compact_->sub_compact_states) {
const auto& sub_status = sub_compact.status;
if (sub_compact.builder != nullptr) {
// May happen if we get a shutdown call in the middle of compaction
sub_compact.builder->Abandon();
sub_compact.builder.reset();
} else {
assert(!sub_status.ok() || sub_compact.outfile == nullptr);
}
for (const auto& out : sub_compact.outputs) {
// If this file was inserted into the table cache then remove
// them here because this compaction was not committed.
if (!sub_status.ok()) {
TableCache::Evict(table_cache_.get(), out.meta.fd.GetNumber());
}
}
}
delete compact_;
compact_ = nullptr;
}
#ifndef ROCKSDB_LITE
namespace {
void CopyPrefix(
const Slice& src, size_t prefix_length, std::string* dst) {
assert(prefix_length > 0);
size_t length = src.size() > prefix_length ? prefix_length : src.size();
dst->assign(src.data(), length);
}
} // namespace
#endif // !ROCKSDB_LITE
void CompactionJob::UpdateCompactionStats() {
Compaction* compaction = compact_->compaction;
compaction_stats_.num_input_files_in_non_output_levels = 0;
compaction_stats_.num_input_files_in_output_level = 0;
for (int input_level = 0;
input_level < static_cast<int>(compaction->num_input_levels());
++input_level) {
if (compaction->start_level() + input_level
!= compaction->output_level()) {
UpdateCompactionInputStatsHelper(
&compaction_stats_.num_input_files_in_non_output_levels,
&compaction_stats_.bytes_read_non_output_levels,
input_level);
} else {
UpdateCompactionInputStatsHelper(
&compaction_stats_.num_input_files_in_output_level,
&compaction_stats_.bytes_read_output_level,
input_level);
}
}
for (const auto& sub_compact : compact_->sub_compact_states) {
size_t num_output_files = sub_compact.outputs.size();
if (sub_compact.builder != nullptr) {
// An error occurred so ignore the last output.
assert(num_output_files > 0);
--num_output_files;
}
compaction_stats_.num_output_files += static_cast<int>(num_output_files);
for (const auto& out : sub_compact.outputs) {
compaction_stats_.bytes_written += out.meta.fd.file_size;
}
if (sub_compact.num_input_records > sub_compact.num_output_records) {
compaction_stats_.num_dropped_records +=
sub_compact.num_input_records - sub_compact.num_output_records;
}
}
}
void CompactionJob::UpdateCompactionInputStatsHelper(
int* num_files, uint64_t* bytes_read, int input_level) {
const Compaction* compaction = compact_->compaction;
auto num_input_files = compaction->num_input_files(input_level);
*num_files += static_cast<int>(num_input_files);
for (size_t i = 0; i < num_input_files; ++i) {
const auto* file_meta = compaction->input(input_level, i);
*bytes_read += file_meta->fd.GetFileSize();
compaction_stats_.num_input_records +=
static_cast<uint64_t>(file_meta->num_entries);
}
}
void CompactionJob::UpdateCompactionJobStats(
const InternalStats::CompactionStats& stats) const {
#ifndef ROCKSDB_LITE
if (compaction_job_stats_) {
compaction_job_stats_->elapsed_micros = stats.micros;
// input information
compaction_job_stats_->total_input_bytes =
stats.bytes_read_non_output_levels +
stats.bytes_read_output_level;
compaction_job_stats_->num_input_records =
compact_->num_input_records;
compaction_job_stats_->num_input_files =
stats.num_input_files_in_non_output_levels +
stats.num_input_files_in_output_level;
compaction_job_stats_->num_input_files_at_output_level =
stats.num_input_files_in_output_level;
// output information
compaction_job_stats_->total_output_bytes = stats.bytes_written;
compaction_job_stats_->num_output_records =
compact_->num_output_records;
compaction_job_stats_->num_output_files = stats.num_output_files;
if (compact_->NumOutputFiles() > 0U) {
CopyPrefix(
compact_->SmallestUserKey(),
CompactionJobStats::kMaxPrefixLength,
&compaction_job_stats_->smallest_output_key_prefix);
CopyPrefix(
compact_->LargestUserKey(),
CompactionJobStats::kMaxPrefixLength,
&compaction_job_stats_->largest_output_key_prefix);
}
}
#endif // !ROCKSDB_LITE
}
void CompactionJob::LogCompaction() {
Compaction* compaction = compact_->compaction;
ColumnFamilyData* cfd = compaction->column_family_data();
// Let's check if anything will get logged. Don't prepare all the info if
// we're not logging
if (db_options_.info_log_level <= InfoLogLevel::INFO_LEVEL) {
Compaction::InputLevelSummaryBuffer inputs_summary;
Log(InfoLogLevel::INFO_LEVEL, db_options_.info_log,
"[%s] [JOB %d] Compacting %s, score %.2f", cfd->GetName().c_str(),
job_id_, compaction->InputLevelSummary(&inputs_summary),
compaction->score());
char scratch[2345];
compaction->Summary(scratch, sizeof(scratch));
Log(InfoLogLevel::INFO_LEVEL, db_options_.info_log,
"[%s] Compaction start summary: %s\n", cfd->GetName().c_str(), scratch);
// build event logger report
auto stream = event_logger_->Log();
stream << "job" << job_id_ << "event"
<< "compaction_started";
for (size_t i = 0; i < compaction->num_input_levels(); ++i) {
stream << ("files_L" + ToString(compaction->level(i)));
stream.StartArray();
for (auto f : *compaction->inputs(i)) {
stream << f->fd.GetNumber();
}
stream.EndArray();
}
stream << "score" << compaction->score() << "input_data_size"
<< compaction->CalculateTotalInputSize();
}
}
} // namespace rocksdb