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rocksdb/db/compaction_job_stats_test.cc
sdong e409d3d745 Make "make all" work for CYGWIN 
Summary: Some test and benchmark codes don't build for CYGWIN. Fix it.

Test Plan: Build "make all" with TARGET_OS=Cygwin on cygwin and make sure it passes.

Reviewers: rven, yhchiang, anthony, igor, kradhakrishnan

Reviewed By: igor, kradhakrishnan

Subscribers: leveldb, dhruba

Differential Revision: https://reviews.facebook.net/D39711
2015-06-09 16:36:07 -07:00

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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.
#ifndef __STDC_FORMAT_MACROS
#define __STDC_FORMAT_MACROS
#endif
#include <inttypes.h>
#include <algorithm>
#include <iostream>
#include <mutex>
#include <queue>
#include <set>
#include <thread>
#include <unordered_set>
#include <utility>
#include "db/db_impl.h"
#include "db/dbformat.h"
#include "db/filename.h"
#include "db/job_context.h"
#include "db/version_set.h"
#include "db/write_batch_internal.h"
#include "port/stack_trace.h"
#include "rocksdb/cache.h"
#include "rocksdb/compaction_filter.h"
#include "rocksdb/db.h"
#include "rocksdb/env.h"
#include "rocksdb/experimental.h"
#include "rocksdb/filter_policy.h"
#include "rocksdb/options.h"
#include "rocksdb/perf_context.h"
#include "rocksdb/slice.h"
#include "rocksdb/slice_transform.h"
#include "rocksdb/table.h"
#include "rocksdb/table_properties.h"
#include "rocksdb/thread_status.h"
#include "rocksdb/utilities/checkpoint.h"
#include "rocksdb/utilities/convenience.h"
#include "rocksdb/utilities/write_batch_with_index.h"
#include "table/block_based_table_factory.h"
#include "table/mock_table.h"
#include "table/plain_table_factory.h"
#include "util/compression.h"
#include "util/hash.h"
#include "util/hash_linklist_rep.h"
#include "util/logging.h"
#include "util/mock_env.h"
#include "util/mutexlock.h"
#include "util/rate_limiter.h"
#include "util/scoped_arena_iterator.h"
#include "util/statistics.h"
#include "util/string_util.h"
#include "util/sync_point.h"
#include "util/testharness.h"
#include "util/testutil.h"
#include "util/thread_status_util.h"
#include "util/xfunc.h"
#include "utilities/merge_operators.h"
#if !defined(IOS_CROSS_COMPILE)
#ifndef ROCKSDB_LITE
namespace rocksdb {
static std::string RandomString(Random* rnd, int len, double ratio) {
std::string r;
test::CompressibleString(rnd, ratio, len, &r);
return r;
}
std::string Key(uint64_t key, int length) {
const int kBufSize = 1000;
char buf[kBufSize];
if (length > kBufSize) {
length = kBufSize;
}
snprintf(buf, kBufSize, "%0*" PRIu64, length, key);
return std::string(buf);
}
class CompactionJobStatsTest : public testing::Test {
public:
std::string dbname_;
std::string alternative_wal_dir_;
Env* env_;
DB* db_;
std::vector<ColumnFamilyHandle*> handles_;
Options last_options_;
CompactionJobStatsTest() : env_(Env::Default()) {
env_->SetBackgroundThreads(1, Env::LOW);
env_->SetBackgroundThreads(1, Env::HIGH);
dbname_ = test::TmpDir(env_) + "/compaction_job_stats_test";
alternative_wal_dir_ = dbname_ + "/wal";
Options options;
options.create_if_missing = true;
auto delete_options = options;
delete_options.wal_dir = alternative_wal_dir_;
EXPECT_OK(DestroyDB(dbname_, delete_options));
// Destroy it for not alternative WAL dir is used.
EXPECT_OK(DestroyDB(dbname_, options));
db_ = nullptr;
Reopen(options);
}
~CompactionJobStatsTest() {
rocksdb::SyncPoint::GetInstance()->DisableProcessing();
rocksdb::SyncPoint::GetInstance()->LoadDependency({});
rocksdb::SyncPoint::GetInstance()->ClearAllCallBacks();
Close();
Options options;
options.db_paths.emplace_back(dbname_, 0);
options.db_paths.emplace_back(dbname_ + "_2", 0);
options.db_paths.emplace_back(dbname_ + "_3", 0);
options.db_paths.emplace_back(dbname_ + "_4", 0);
EXPECT_OK(DestroyDB(dbname_, options));
}
DBImpl* dbfull() {
return reinterpret_cast<DBImpl*>(db_);
}
void CreateColumnFamilies(const std::vector<std::string>& cfs,
const Options& options) {
ColumnFamilyOptions cf_opts(options);
size_t cfi = handles_.size();
handles_.resize(cfi + cfs.size());
for (auto cf : cfs) {
ASSERT_OK(db_->CreateColumnFamily(cf_opts, cf, &handles_[cfi++]));
}
}
void CreateAndReopenWithCF(const std::vector<std::string>& cfs,
const Options& options) {
CreateColumnFamilies(cfs, options);
std::vector<std::string> cfs_plus_default = cfs;
cfs_plus_default.insert(cfs_plus_default.begin(), kDefaultColumnFamilyName);
ReopenWithColumnFamilies(cfs_plus_default, options);
}
void ReopenWithColumnFamilies(const std::vector<std::string>& cfs,
const std::vector<Options>& options) {
ASSERT_OK(TryReopenWithColumnFamilies(cfs, options));
}
void ReopenWithColumnFamilies(const std::vector<std::string>& cfs,
const Options& options) {
ASSERT_OK(TryReopenWithColumnFamilies(cfs, options));
}
Status TryReopenWithColumnFamilies(
const std::vector<std::string>& cfs,
const std::vector<Options>& options) {
Close();
EXPECT_EQ(cfs.size(), options.size());
std::vector<ColumnFamilyDescriptor> column_families;
for (size_t i = 0; i < cfs.size(); ++i) {
column_families.push_back(ColumnFamilyDescriptor(cfs[i], options[i]));
}
DBOptions db_opts = DBOptions(options[0]);
return DB::Open(db_opts, dbname_, column_families, &handles_, &db_);
}
Status TryReopenWithColumnFamilies(const std::vector<std::string>& cfs,
const Options& options) {
Close();
std::vector<Options> v_opts(cfs.size(), options);
return TryReopenWithColumnFamilies(cfs, v_opts);
}
void Reopen(const Options& options) {
ASSERT_OK(TryReopen(options));
}
void Close() {
for (auto h : handles_) {
delete h;
}
handles_.clear();
delete db_;
db_ = nullptr;
}
void DestroyAndReopen(const Options& options) {
// Destroy using last options
Destroy(last_options_);
ASSERT_OK(TryReopen(options));
}
void Destroy(const Options& options) {
Close();
ASSERT_OK(DestroyDB(dbname_, options));
}
Status ReadOnlyReopen(const Options& options) {
return DB::OpenForReadOnly(options, dbname_, &db_);
}
Status TryReopen(const Options& options) {
Close();
last_options_ = options;
return DB::Open(options, dbname_, &db_);
}
Status Flush(int cf = 0) {
if (cf == 0) {
return db_->Flush(FlushOptions());
} else {
return db_->Flush(FlushOptions(), handles_[cf]);
}
}
Status Put(const Slice& k, const Slice& v, WriteOptions wo = WriteOptions()) {
return db_->Put(wo, k, v);
}
Status Put(int cf, const Slice& k, const Slice& v,
WriteOptions wo = WriteOptions()) {
return db_->Put(wo, handles_[cf], k, v);
}
Status Delete(const std::string& k) {
return db_->Delete(WriteOptions(), k);
}
Status Delete(int cf, const std::string& k) {
return db_->Delete(WriteOptions(), handles_[cf], k);
}
std::string Get(const std::string& k, const Snapshot* snapshot = nullptr) {
ReadOptions options;
options.verify_checksums = true;
options.snapshot = snapshot;
std::string result;
Status s = db_->Get(options, k, &result);
if (s.IsNotFound()) {
result = "NOT_FOUND";
} else if (!s.ok()) {
result = s.ToString();
}
return result;
}
std::string Get(int cf, const std::string& k,
const Snapshot* snapshot = nullptr) {
ReadOptions options;
options.verify_checksums = true;
options.snapshot = snapshot;
std::string result;
Status s = db_->Get(options, handles_[cf], k, &result);
if (s.IsNotFound()) {
result = "NOT_FOUND";
} else if (!s.ok()) {
result = s.ToString();
}
return result;
}
int NumTableFilesAtLevel(int level, int cf = 0) {
std::string property;
if (cf == 0) {
// default cfd
EXPECT_TRUE(db_->GetProperty(
"rocksdb.num-files-at-level" + NumberToString(level), &property));
} else {
EXPECT_TRUE(db_->GetProperty(
handles_[cf], "rocksdb.num-files-at-level" + NumberToString(level),
&property));
}
return atoi(property.c_str());
}
// Return spread of files per level
std::string FilesPerLevel(int cf = 0) {
int num_levels =
(cf == 0) ? db_->NumberLevels() : db_->NumberLevels(handles_[1]);
std::string result;
size_t last_non_zero_offset = 0;
for (int level = 0; level < num_levels; level++) {
int f = NumTableFilesAtLevel(level, cf);
char buf[100];
snprintf(buf, sizeof(buf), "%s%d", (level ? "," : ""), f);
result += buf;
if (f > 0) {
last_non_zero_offset = result.size();
}
}
result.resize(last_non_zero_offset);
return result;
}
uint64_t Size(const Slice& start, const Slice& limit, int cf = 0) {
Range r(start, limit);
uint64_t size;
if (cf == 0) {
db_->GetApproximateSizes(&r, 1, &size);
} else {
db_->GetApproximateSizes(handles_[1], &r, 1, &size);
}
return size;
}
void Compact(int cf, const Slice& start, const Slice& limit,
uint32_t target_path_id) {
ASSERT_OK(db_->CompactRange(handles_[cf], &start, &limit, false, -1,
target_path_id));
}
void Compact(int cf, const Slice& start, const Slice& limit) {
ASSERT_OK(db_->CompactRange(handles_[cf], &start, &limit));
}
void Compact(const Slice& start, const Slice& limit) {
ASSERT_OK(db_->CompactRange(&start, &limit));
}
void TEST_Compact(int level, int cf, const Slice& start, const Slice& limit) {
ASSERT_OK(dbfull()->TEST_CompactRange(level, &start, &limit, handles_[cf],
true /* disallow trivial move */));
}
// Do n memtable compactions, each of which produces an sstable
// covering the range [small,large].
void MakeTables(int n, const std::string& small, const std::string& large,
int cf = 0) {
for (int i = 0; i < n; i++) {
ASSERT_OK(Put(cf, small, "begin"));
ASSERT_OK(Put(cf, large, "end"));
ASSERT_OK(Flush(cf));
}
}
void MakeTableWithKeyValues(
Random* rnd, uint64_t smallest, uint64_t largest,
int key_size, int value_size, uint64_t interval,
double ratio, int cf = 0) {
for (auto key = smallest; key < largest; key += interval) {
ASSERT_OK(Put(cf, Slice(Key(key, key_size)),
Slice(RandomString(rnd, value_size, ratio))));
}
ASSERT_OK(Flush(cf));
}
};
// An EventListener which helps verify the compaction results in
// test CompactionJobStatsTest.
class CompactionJobStatsChecker : public EventListener {
public:
CompactionJobStatsChecker() : compression_enabled_(false) {}
size_t NumberOfUnverifiedStats() { return expected_stats_.size(); }
// Once a compaction completed, this functionw will verify the returned
// CompactionJobInfo with the oldest CompactionJobInfo added earlier
// in "expected_stats_" which has not yet being used for verification.
virtual void OnCompactionCompleted(DB *db, const CompactionJobInfo& ci) {
std::lock_guard<std::mutex> lock(mutex_);
if (expected_stats_.size()) {
Verify(ci.stats, expected_stats_.front());
expected_stats_.pop();
}
}
// A helper function which verifies whether two CompactionJobStats
// match. The verification of all compaction stats are done by
// ASSERT_EQ except the following stats, which we use ASSERT_GE
// and ASSERT_LE with a reasonable (< 15%) bias:
// 1. write-amplication
// 2. actual bytes input and output, which relies on the compression
// ratio and the implementation of table formats.
void Verify(const CompactionJobStats& current_stats,
const CompactionJobStats& stats) {
// time
ASSERT_GT(current_stats.elapsed_micros, 0U);
ASSERT_EQ(current_stats.num_input_records,
stats.num_input_records);
ASSERT_EQ(current_stats.num_input_files,
stats.num_input_files);
ASSERT_EQ(current_stats.num_input_files_at_output_level,
stats.num_input_files_at_output_level);
ASSERT_EQ(current_stats.num_output_records,
stats.num_output_records);
ASSERT_EQ(current_stats.num_output_files,
stats.num_output_files);
ASSERT_EQ(current_stats.is_manual_compaction,
stats.is_manual_compaction);
// file size
double kFileSizeBias = 0.15;
ASSERT_GE(current_stats.total_input_bytes * (1.00 + kFileSizeBias),
stats.total_input_bytes);
ASSERT_LE(current_stats.total_input_bytes,
stats.total_input_bytes * (1.00 + kFileSizeBias));
ASSERT_GE(current_stats.total_output_bytes * (1.00 + kFileSizeBias),
stats.total_output_bytes);
ASSERT_LE(current_stats.total_output_bytes,
stats.total_output_bytes * (1.00 + kFileSizeBias));
ASSERT_EQ(current_stats.total_input_raw_key_bytes,
stats.total_input_raw_key_bytes);
ASSERT_EQ(current_stats.total_input_raw_value_bytes,
stats.total_input_raw_value_bytes);
ASSERT_EQ(current_stats.num_records_replaced,
stats.num_records_replaced);
ASSERT_EQ(
std::string(current_stats.smallest_output_key_prefix),
std::string(stats.smallest_output_key_prefix));
ASSERT_EQ(
std::string(current_stats.largest_output_key_prefix),
std::string(stats.largest_output_key_prefix));
}
// Add an expected compaction stats, which will be used to
// verify the CompactionJobStats returned by the OnCompactionCompleted()
// callback.
void AddExpectedStats(const CompactionJobStats& stats) {
std::lock_guard<std::mutex> lock(mutex_);
expected_stats_.push(stats);
}
void EnableCompression(bool flag) {
compression_enabled_ = flag;
}
private:
std::mutex mutex_;
std::queue<CompactionJobStats> expected_stats_;
bool compression_enabled_;
};
namespace {
uint64_t EstimatedFileSize(
uint64_t num_records, size_t key_size, size_t value_size,
double compression_ratio = 1.0,
size_t block_size = 4096,
int bloom_bits_per_key = 10) {
const size_t kPerKeyOverhead = 8;
const size_t kFooterSize = 512;
uint64_t data_size =
num_records * (key_size + value_size * compression_ratio +
kPerKeyOverhead);
return data_size + kFooterSize
+ num_records * bloom_bits_per_key / 8 // filter block
+ data_size * (key_size + 8) / block_size; // index block
}
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
CompactionJobStats NewManualCompactionJobStats(
const std::string& smallest_key, const std::string& largest_key,
size_t num_input_files, size_t num_input_files_at_output_level,
uint64_t num_input_records, size_t key_size, size_t value_size,
size_t num_output_files, uint64_t num_output_records,
double compression_ratio, uint64_t num_records_replaced) {
CompactionJobStats stats;
stats.Reset();
stats.num_input_records = num_input_records;
stats.num_input_files = num_input_files;
stats.num_input_files_at_output_level = num_input_files_at_output_level;
stats.num_output_records = num_output_records;
stats.num_output_files = num_output_files;
stats.total_input_bytes =
EstimatedFileSize(
num_input_records / num_input_files,
key_size, value_size, compression_ratio) * num_input_files;
stats.total_output_bytes =
EstimatedFileSize(
num_output_records / num_output_files,
key_size, value_size, compression_ratio) * num_output_files;
stats.total_input_raw_key_bytes =
num_input_records * (key_size + 8);
stats.total_input_raw_value_bytes =
num_input_records * value_size;
stats.is_manual_compaction = true;
stats.num_records_replaced = num_records_replaced;
CopyPrefix(smallest_key,
CompactionJobStats::kMaxPrefixLength,
&stats.smallest_output_key_prefix);
CopyPrefix(largest_key,
CompactionJobStats::kMaxPrefixLength,
&stats.largest_output_key_prefix);
return stats;
}
CompressionType GetAnyCompression() {
if (Snappy_Supported()) {
return kSnappyCompression;
} else if (Zlib_Supported()) {
return kZlibCompression;
} else if (BZip2_Supported()) {
return kBZip2Compression;
} else if (LZ4_Supported()) {
return kLZ4Compression;
}
return kNoCompression;
}
} // namespace
TEST_F(CompactionJobStatsTest, CompactionJobStatsTest) {
Random rnd(301);
const int kBufSize = 100;
char buf[kBufSize];
uint64_t key_base = 100000000l;
// Note: key_base must be multiple of num_keys_per_L0_file
int num_keys_per_L0_file = 100;
const int kTestScale = 8;
const int kKeySize = 10;
const int kValueSize = 1000;
const double kCompressionRatio = 0.5;
double compression_ratio = 1.0;
uint64_t key_interval = key_base / num_keys_per_L0_file;
// Whenever a compaction completes, this listener will try to
// verify whether the returned CompactionJobStats matches
// what we expect. The expected CompactionJobStats is added
// via AddExpectedStats().
auto* stats_checker = new CompactionJobStatsChecker();
Options options;
options.listeners.emplace_back(stats_checker);
options.create_if_missing = true;
options.max_background_flushes = 0;
options.max_mem_compaction_level = 0;
// just enough setting to hold off auto-compaction.
options.level0_file_num_compaction_trigger = kTestScale + 1;
options.num_levels = 3;
options.compression = kNoCompression;
for (int test = 0; test < 2; ++test) {
DestroyAndReopen(options);
CreateAndReopenWithCF({"pikachu"}, options);
// 1st Phase: generate "num_L0_files" L0 files.
int num_L0_files = 0;
for (uint64_t start_key = key_base;
start_key <= key_base * kTestScale;
start_key += key_base) {
MakeTableWithKeyValues(
&rnd, start_key, start_key + key_base - 1,
kKeySize, kValueSize, key_interval,
kCompressionRatio, 1);
snprintf(buf, kBufSize, "%d", ++num_L0_files);
ASSERT_EQ(std::string(buf), FilesPerLevel(1));
}
ASSERT_EQ(ToString(num_L0_files), FilesPerLevel(1));
// 2nd Phase: perform L0 -> L1 compaction.
int L0_compaction_count = 6;
int count = 1;
std::string smallest_key;
std::string largest_key;
for (uint64_t start_key = key_base;
start_key <= key_base * L0_compaction_count;
start_key += key_base, count++) {
smallest_key = Key(start_key, 10);
largest_key = Key(start_key + key_base - key_interval, 10);
stats_checker->AddExpectedStats(
NewManualCompactionJobStats(
smallest_key, largest_key,
1, 0, num_keys_per_L0_file,
kKeySize, kValueSize,
1, num_keys_per_L0_file,
compression_ratio, 0));
ASSERT_EQ(stats_checker->NumberOfUnverifiedStats(), 1U);
TEST_Compact(0, 1, smallest_key, largest_key);
snprintf(buf, kBufSize, "%d,%d", num_L0_files - count, count);
ASSERT_EQ(std::string(buf), FilesPerLevel(1));
}
// compact two files into one in the last L0 -> L1 compaction
int num_remaining_L0 = num_L0_files - L0_compaction_count;
smallest_key = Key(key_base * (L0_compaction_count + 1), 10);
largest_key = Key(key_base * (kTestScale + 1) - key_interval, 10);
stats_checker->AddExpectedStats(
NewManualCompactionJobStats(
smallest_key, largest_key,
num_remaining_L0,
0, num_keys_per_L0_file * num_remaining_L0,
kKeySize, kValueSize,
1, num_keys_per_L0_file * num_remaining_L0,
compression_ratio, 0));
ASSERT_EQ(stats_checker->NumberOfUnverifiedStats(), 1U);
TEST_Compact(0, 1, smallest_key, largest_key);
int num_L1_files = num_L0_files - num_remaining_L0 + 1;
num_L0_files = 0;
snprintf(buf, kBufSize, "%d,%d", num_L0_files, num_L1_files);
ASSERT_EQ(std::string(buf), FilesPerLevel(1));
// 3rd Phase: generate sparse L0 files (wider key-range, same num of keys)
int sparseness = 2;
for (uint64_t start_key = key_base;
start_key <= key_base * kTestScale;
start_key += key_base * sparseness) {
MakeTableWithKeyValues(
&rnd, start_key, start_key + key_base * sparseness - 1,
kKeySize, kValueSize,
key_base * sparseness / num_keys_per_L0_file,
kCompressionRatio, 1);
snprintf(buf, kBufSize, "%d,%d", ++num_L0_files, num_L1_files);
ASSERT_EQ(std::string(buf), FilesPerLevel(1));
}
// 4th Phase: perform L0 -> L1 compaction again, expect higher write amp
for (uint64_t start_key = key_base;
num_L0_files > 1;
start_key += key_base * sparseness) {
smallest_key = Key(start_key, 10);
largest_key =
Key(start_key + key_base * sparseness - key_interval, 10);
stats_checker->AddExpectedStats(
NewManualCompactionJobStats(
smallest_key, largest_key,
3, 2, num_keys_per_L0_file * 3,
kKeySize, kValueSize,
1, num_keys_per_L0_file * 2, // 1/3 of the data will be updated.
compression_ratio,
num_keys_per_L0_file));
ASSERT_EQ(stats_checker->NumberOfUnverifiedStats(), 1U);
Compact(1, smallest_key, largest_key);
snprintf(buf, kBufSize, "%d,%d",
--num_L0_files, --num_L1_files);
ASSERT_EQ(std::string(buf), FilesPerLevel(1));
}
// 5th Phase: Do a full compaction, which involves in two sub-compactions.
// Here we expect to have 1 L0 files and 4 L1 files
// In the first sub-compaction, we expect L0 compaction.
smallest_key = Key(key_base, 10);
largest_key = Key(key_base * (kTestScale + 1) - key_interval, 10);
stats_checker->AddExpectedStats(
NewManualCompactionJobStats(
Key(key_base * (kTestScale + 1 - sparseness), 10), largest_key,
2, 1, num_keys_per_L0_file * 3,
kKeySize, kValueSize,
1, num_keys_per_L0_file * 2,
compression_ratio,
num_keys_per_L0_file));
// In the second sub-compaction, we expect L1 compaction.
stats_checker->AddExpectedStats(
NewManualCompactionJobStats(
smallest_key, largest_key,
4, 0, num_keys_per_L0_file * 8,
kKeySize, kValueSize,
1, num_keys_per_L0_file * 8,
compression_ratio, 0));
ASSERT_EQ(stats_checker->NumberOfUnverifiedStats(), 2U);
Compact(1, smallest_key, largest_key);
ASSERT_EQ("0,1", FilesPerLevel(1));
options.compression = GetAnyCompression();
if (options.compression == kNoCompression) {
break;
}
stats_checker->EnableCompression(true);
compression_ratio = kCompressionRatio;
}
ASSERT_EQ(stats_checker->NumberOfUnverifiedStats(), 0U);
}
} // namespace rocksdb
int main(int argc, char** argv) {
rocksdb::port::InstallStackTraceHandler();
::testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
#endif // !ROCKSDB_LITE
#endif // !defined(IOS_CROSS_COMPILE)
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