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rocksdb/db/db_basic_test.cc

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41 KiB

// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
// This source code is licensed under both the GPLv2 (found in the
// COPYING file in the root directory) and Apache 2.0 License
// (found in the LICENSE.Apache file in the root 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 <iostream>
#include "db/db_test_util.h"
#include "port/stack_trace.h"
#include "rocksdb/perf_context.h"
#include "test_util/fault_injection_test_env.h"
#if !defined(ROCKSDB_LITE)
#include "test_util/sync_point.h"
#endif
namespace rocksdb {
class DBBasicTest : public DBTestBase {
public:
DBBasicTest() : DBTestBase("/db_basic_test") {}
};
TEST_F(DBBasicTest, OpenWhenOpen) {
Options options = CurrentOptions();
options.env = env_;
rocksdb::DB* db2 = nullptr;
rocksdb::Status s = DB::Open(options, dbname_, &db2);
ASSERT_EQ(Status::Code::kIOError, s.code());
ASSERT_EQ(Status::SubCode::kNone, s.subcode());
ASSERT_TRUE(strstr(s.getState(), "lock ") != nullptr);
delete db2;
}
#ifndef ROCKSDB_LITE
TEST_F(DBBasicTest, ReadOnlyDB) {
ASSERT_OK(Put("foo", "v1"));
ASSERT_OK(Put("bar", "v2"));
ASSERT_OK(Put("foo", "v3"));
Close();
auto options = CurrentOptions();
assert(options.env == env_);
ASSERT_OK(ReadOnlyReopen(options));
ASSERT_EQ("v3", Get("foo"));
ASSERT_EQ("v2", Get("bar"));
Iterator* iter = db_->NewIterator(ReadOptions());
int count = 0;
for (iter->SeekToFirst(); iter->Valid(); iter->Next()) {
ASSERT_OK(iter->status());
++count;
}
ASSERT_EQ(count, 2);
delete iter;
Close();
// Reopen and flush memtable.
Reopen(options);
Flush();
Close();
// Now check keys in read only mode.
ASSERT_OK(ReadOnlyReopen(options));
ASSERT_EQ("v3", Get("foo"));
ASSERT_EQ("v2", Get("bar"));
ASSERT_TRUE(db_->SyncWAL().IsNotSupported());
}
TEST_F(DBBasicTest, CompactedDB) {
const uint64_t kFileSize = 1 << 20;
Options options = CurrentOptions();
options.disable_auto_compactions = true;
options.write_buffer_size = kFileSize;
options.target_file_size_base = kFileSize;
options.max_bytes_for_level_base = 1 << 30;
options.compression = kNoCompression;
Reopen(options);
// 1 L0 file, use CompactedDB if max_open_files = -1
ASSERT_OK(Put("aaa", DummyString(kFileSize / 2, '1')));
Flush();
Close();
ASSERT_OK(ReadOnlyReopen(options));
Status s = Put("new", "value");
ASSERT_EQ(s.ToString(),
"Not implemented: Not supported operation in read only mode.");
ASSERT_EQ(DummyString(kFileSize / 2, '1'), Get("aaa"));
Close();
options.max_open_files = -1;
ASSERT_OK(ReadOnlyReopen(options));
s = Put("new", "value");
ASSERT_EQ(s.ToString(),
"Not implemented: Not supported in compacted db mode.");
ASSERT_EQ(DummyString(kFileSize / 2, '1'), Get("aaa"));
Close();
Reopen(options);
// Add more L0 files
ASSERT_OK(Put("bbb", DummyString(kFileSize / 2, '2')));
Flush();
ASSERT_OK(Put("aaa", DummyString(kFileSize / 2, 'a')));
Flush();
ASSERT_OK(Put("bbb", DummyString(kFileSize / 2, 'b')));
ASSERT_OK(Put("eee", DummyString(kFileSize / 2, 'e')));
Flush();
Close();
ASSERT_OK(ReadOnlyReopen(options));
// Fallback to read-only DB
s = Put("new", "value");
ASSERT_EQ(s.ToString(),
"Not implemented: Not supported operation in read only mode.");
Close();
// Full compaction
Reopen(options);
// Add more keys
ASSERT_OK(Put("fff", DummyString(kFileSize / 2, 'f')));
ASSERT_OK(Put("hhh", DummyString(kFileSize / 2, 'h')));
ASSERT_OK(Put("iii", DummyString(kFileSize / 2, 'i')));
ASSERT_OK(Put("jjj", DummyString(kFileSize / 2, 'j')));
db_->CompactRange(CompactRangeOptions(), nullptr, nullptr);
ASSERT_EQ(3, NumTableFilesAtLevel(1));
Close();
// CompactedDB
ASSERT_OK(ReadOnlyReopen(options));
s = Put("new", "value");
ASSERT_EQ(s.ToString(),
"Not implemented: Not supported in compacted db mode.");
ASSERT_EQ("NOT_FOUND", Get("abc"));
ASSERT_EQ(DummyString(kFileSize / 2, 'a'), Get("aaa"));
ASSERT_EQ(DummyString(kFileSize / 2, 'b'), Get("bbb"));
ASSERT_EQ("NOT_FOUND", Get("ccc"));
ASSERT_EQ(DummyString(kFileSize / 2, 'e'), Get("eee"));
ASSERT_EQ(DummyString(kFileSize / 2, 'f'), Get("fff"));
ASSERT_EQ("NOT_FOUND", Get("ggg"));
ASSERT_EQ(DummyString(kFileSize / 2, 'h'), Get("hhh"));
ASSERT_EQ(DummyString(kFileSize / 2, 'i'), Get("iii"));
ASSERT_EQ(DummyString(kFileSize / 2, 'j'), Get("jjj"));
ASSERT_EQ("NOT_FOUND", Get("kkk"));
// MultiGet
std::vector<std::string> values;
std::vector<Status> status_list = dbfull()->MultiGet(
ReadOptions(),
std::vector<Slice>({Slice("aaa"), Slice("ccc"), Slice("eee"),
Slice("ggg"), Slice("iii"), Slice("kkk")}),
&values);
ASSERT_EQ(status_list.size(), static_cast<uint64_t>(6));
ASSERT_EQ(values.size(), static_cast<uint64_t>(6));
ASSERT_OK(status_list[0]);
ASSERT_EQ(DummyString(kFileSize / 2, 'a'), values[0]);
ASSERT_TRUE(status_list[1].IsNotFound());
ASSERT_OK(status_list[2]);
ASSERT_EQ(DummyString(kFileSize / 2, 'e'), values[2]);
ASSERT_TRUE(status_list[3].IsNotFound());
ASSERT_OK(status_list[4]);
ASSERT_EQ(DummyString(kFileSize / 2, 'i'), values[4]);
ASSERT_TRUE(status_list[5].IsNotFound());
Reopen(options);
// Add a key
ASSERT_OK(Put("fff", DummyString(kFileSize / 2, 'f')));
Close();
ASSERT_OK(ReadOnlyReopen(options));
s = Put("new", "value");
ASSERT_EQ(s.ToString(),
"Not implemented: Not supported operation in read only mode.");
}
TEST_F(DBBasicTest, LevelLimitReopen) {
Options options = CurrentOptions();
CreateAndReopenWithCF({"pikachu"}, options);
const std::string value(1024 * 1024, ' ');
int i = 0;
while (NumTableFilesAtLevel(2, 1) == 0) {
ASSERT_OK(Put(1, Key(i++), value));
dbfull()->TEST_WaitForFlushMemTable();
dbfull()->TEST_WaitForCompact();
}
options.num_levels = 1;
options.max_bytes_for_level_multiplier_additional.resize(1, 1);
Status s = TryReopenWithColumnFamilies({"default", "pikachu"}, options);
ASSERT_EQ(s.IsInvalidArgument(), true);
ASSERT_EQ(s.ToString(),
"Invalid argument: db has more levels than options.num_levels");
options.num_levels = 10;
options.max_bytes_for_level_multiplier_additional.resize(10, 1);
ASSERT_OK(TryReopenWithColumnFamilies({"default", "pikachu"}, options));
}
#endif // ROCKSDB_LITE
TEST_F(DBBasicTest, PutDeleteGet) {
do {
CreateAndReopenWithCF({"pikachu"}, CurrentOptions());
ASSERT_OK(Put(1, "foo", "v1"));
ASSERT_EQ("v1", Get(1, "foo"));
ASSERT_OK(Put(1, "foo", "v2"));
ASSERT_EQ("v2", Get(1, "foo"));
ASSERT_OK(Delete(1, "foo"));
ASSERT_EQ("NOT_FOUND", Get(1, "foo"));
} while (ChangeOptions());
}
TEST_F(DBBasicTest, PutSingleDeleteGet) {
do {
CreateAndReopenWithCF({"pikachu"}, CurrentOptions());
ASSERT_OK(Put(1, "foo", "v1"));
ASSERT_EQ("v1", Get(1, "foo"));
ASSERT_OK(Put(1, "foo2", "v2"));
ASSERT_EQ("v2", Get(1, "foo2"));
ASSERT_OK(SingleDelete(1, "foo"));
ASSERT_EQ("NOT_FOUND", Get(1, "foo"));
// Ski FIFO and universal compaction because they do not apply to the test
// case. Skip MergePut because single delete does not get removed when it
// encounters a merge.
} while (ChangeOptions(kSkipFIFOCompaction | kSkipUniversalCompaction |
kSkipMergePut));
}
TEST_F(DBBasicTest, EmptyFlush) {
// It is possible to produce empty flushes when using single deletes. Tests
// whether empty flushes cause issues.
do {
Random rnd(301);
Options options = CurrentOptions();
options.disable_auto_compactions = true;
CreateAndReopenWithCF({"pikachu"}, options);
Put(1, "a", Slice());
SingleDelete(1, "a");
ASSERT_OK(Flush(1));
ASSERT_EQ("[ ]", AllEntriesFor("a", 1));
// Skip FIFO and universal compaction as they do not apply to the test
// case. Skip MergePut because merges cannot be combined with single
// deletions.
} while (ChangeOptions(kSkipFIFOCompaction | kSkipUniversalCompaction |
kSkipMergePut));
}
TEST_F(DBBasicTest, GetFromVersions) {
do {
CreateAndReopenWithCF({"pikachu"}, CurrentOptions());
ASSERT_OK(Put(1, "foo", "v1"));
ASSERT_OK(Flush(1));
ASSERT_EQ("v1", Get(1, "foo"));
ASSERT_EQ("NOT_FOUND", Get(0, "foo"));
} while (ChangeOptions());
}
#ifndef ROCKSDB_LITE
TEST_F(DBBasicTest, GetSnapshot) {
anon::OptionsOverride options_override;
options_override.skip_policy = kSkipNoSnapshot;
do {
CreateAndReopenWithCF({"pikachu"}, CurrentOptions(options_override));
// Try with both a short key and a long key
for (int i = 0; i < 2; i++) {
std::string key = (i == 0) ? std::string("foo") : std::string(200, 'x');
ASSERT_OK(Put(1, key, "v1"));
const Snapshot* s1 = db_->GetSnapshot();
ASSERT_OK(Put(1, key, "v2"));
ASSERT_EQ("v2", Get(1, key));
ASSERT_EQ("v1", Get(1, key, s1));
ASSERT_OK(Flush(1));
ASSERT_EQ("v2", Get(1, key));
ASSERT_EQ("v1", Get(1, key, s1));
db_->ReleaseSnapshot(s1);
}
} while (ChangeOptions());
}
#endif // ROCKSDB_LITE
TEST_F(DBBasicTest, CheckLock) {
do {
DB* localdb;
Options options = CurrentOptions();
ASSERT_OK(TryReopen(options));
// second open should fail
ASSERT_TRUE(!(DB::Open(options, dbname_, &localdb)).ok());
} while (ChangeCompactOptions());
}
TEST_F(DBBasicTest, FlushMultipleMemtable) {
do {
Options options = CurrentOptions();
WriteOptions writeOpt = WriteOptions();
writeOpt.disableWAL = true;
options.max_write_buffer_number = 4;
options.min_write_buffer_number_to_merge = 3;
options.max_write_buffer_number_to_maintain = -1;
CreateAndReopenWithCF({"pikachu"}, options);
ASSERT_OK(dbfull()->Put(writeOpt, handles_[1], "foo", "v1"));
ASSERT_OK(Flush(1));
ASSERT_OK(dbfull()->Put(writeOpt, handles_[1], "bar", "v1"));
ASSERT_EQ("v1", Get(1, "foo"));
ASSERT_EQ("v1", Get(1, "bar"));
ASSERT_OK(Flush(1));
} while (ChangeCompactOptions());
}
TEST_F(DBBasicTest, FlushEmptyColumnFamily) {
// Block flush thread and disable compaction thread
env_->SetBackgroundThreads(1, Env::HIGH);
env_->SetBackgroundThreads(1, Env::LOW);
test::SleepingBackgroundTask sleeping_task_low;
env_->Schedule(&test::SleepingBackgroundTask::DoSleepTask, &sleeping_task_low,
Env::Priority::LOW);
test::SleepingBackgroundTask sleeping_task_high;
env_->Schedule(&test::SleepingBackgroundTask::DoSleepTask,
&sleeping_task_high, Env::Priority::HIGH);
Options options = CurrentOptions();
// disable compaction
options.disable_auto_compactions = true;
WriteOptions writeOpt = WriteOptions();
writeOpt.disableWAL = true;
options.max_write_buffer_number = 2;
options.min_write_buffer_number_to_merge = 1;
options.max_write_buffer_number_to_maintain = 1;
CreateAndReopenWithCF({"pikachu"}, options);
// Compaction can still go through even if no thread can flush the
// mem table.
ASSERT_OK(Flush(0));
ASSERT_OK(Flush(1));
// Insert can go through
ASSERT_OK(dbfull()->Put(writeOpt, handles_[0], "foo", "v1"));
ASSERT_OK(dbfull()->Put(writeOpt, handles_[1], "bar", "v1"));
ASSERT_EQ("v1", Get(0, "foo"));
ASSERT_EQ("v1", Get(1, "bar"));
sleeping_task_high.WakeUp();
sleeping_task_high.WaitUntilDone();
// Flush can still go through.
ASSERT_OK(Flush(0));
ASSERT_OK(Flush(1));
sleeping_task_low.WakeUp();
sleeping_task_low.WaitUntilDone();
}
TEST_F(DBBasicTest, FLUSH) {
do {
CreateAndReopenWithCF({"pikachu"}, CurrentOptions());
WriteOptions writeOpt = WriteOptions();
writeOpt.disableWAL = true;
SetPerfLevel(kEnableTime);
ASSERT_OK(dbfull()->Put(writeOpt, handles_[1], "foo", "v1"));
// this will now also flush the last 2 writes
ASSERT_OK(Flush(1));
ASSERT_OK(dbfull()->Put(writeOpt, handles_[1], "bar", "v1"));
get_perf_context()->Reset();
Get(1, "foo");
ASSERT_TRUE((int)get_perf_context()->get_from_output_files_time > 0);
ASSERT_EQ(2, (int)get_perf_context()->get_read_bytes);
ReopenWithColumnFamilies({"default", "pikachu"}, CurrentOptions());
ASSERT_EQ("v1", Get(1, "foo"));
ASSERT_EQ("v1", Get(1, "bar"));
writeOpt.disableWAL = true;
ASSERT_OK(dbfull()->Put(writeOpt, handles_[1], "bar", "v2"));
ASSERT_OK(dbfull()->Put(writeOpt, handles_[1], "foo", "v2"));
ASSERT_OK(Flush(1));
ReopenWithColumnFamilies({"default", "pikachu"}, CurrentOptions());
ASSERT_EQ("v2", Get(1, "bar"));
get_perf_context()->Reset();
ASSERT_EQ("v2", Get(1, "foo"));
ASSERT_TRUE((int)get_perf_context()->get_from_output_files_time > 0);
writeOpt.disableWAL = false;
ASSERT_OK(dbfull()->Put(writeOpt, handles_[1], "bar", "v3"));
ASSERT_OK(dbfull()->Put(writeOpt, handles_[1], "foo", "v3"));
ASSERT_OK(Flush(1));
ReopenWithColumnFamilies({"default", "pikachu"}, CurrentOptions());
// 'foo' should be there because its put
// has WAL enabled.
ASSERT_EQ("v3", Get(1, "foo"));
ASSERT_EQ("v3", Get(1, "bar"));
SetPerfLevel(kDisable);
} while (ChangeCompactOptions());
}
TEST_F(DBBasicTest, ManifestRollOver) {
do {
Options options;
options.max_manifest_file_size = 10; // 10 bytes
options = CurrentOptions(options);
CreateAndReopenWithCF({"pikachu"}, options);
{
ASSERT_OK(Put(1, "manifest_key1", std::string(1000, '1')));
ASSERT_OK(Put(1, "manifest_key2", std::string(1000, '2')));
ASSERT_OK(Put(1, "manifest_key3", std::string(1000, '3')));
uint64_t manifest_before_flush = dbfull()->TEST_Current_Manifest_FileNo();
ASSERT_OK(Flush(1)); // This should trigger LogAndApply.
uint64_t manifest_after_flush = dbfull()->TEST_Current_Manifest_FileNo();
ASSERT_GT(manifest_after_flush, manifest_before_flush);
ReopenWithColumnFamilies({"default", "pikachu"}, options);
ASSERT_GT(dbfull()->TEST_Current_Manifest_FileNo(), manifest_after_flush);
// check if a new manifest file got inserted or not.
ASSERT_EQ(std::string(1000, '1'), Get(1, "manifest_key1"));
ASSERT_EQ(std::string(1000, '2'), Get(1, "manifest_key2"));
ASSERT_EQ(std::string(1000, '3'), Get(1, "manifest_key3"));
}
} while (ChangeCompactOptions());
}
TEST_F(DBBasicTest, IdentityAcrossRestarts) {
do {
std::string id1;
ASSERT_OK(db_->GetDbIdentity(id1));
Options options = CurrentOptions();
Reopen(options);
std::string id2;
ASSERT_OK(db_->GetDbIdentity(id2));
// id1 should match id2 because identity was not regenerated
ASSERT_EQ(id1.compare(id2), 0);
std::string idfilename = IdentityFileName(dbname_);
ASSERT_OK(env_->DeleteFile(idfilename));
Reopen(options);
std::string id3;
ASSERT_OK(db_->GetDbIdentity(id3));
// id1 should NOT match id3 because identity was regenerated
ASSERT_NE(id1.compare(id3), 0);
} while (ChangeCompactOptions());
}
#ifndef ROCKSDB_LITE
TEST_F(DBBasicTest, Snapshot) {
anon::OptionsOverride options_override;
options_override.skip_policy = kSkipNoSnapshot;
do {
CreateAndReopenWithCF({"pikachu"}, CurrentOptions(options_override));
Put(0, "foo", "0v1");
Put(1, "foo", "1v1");
const Snapshot* s1 = db_->GetSnapshot();
ASSERT_EQ(1U, GetNumSnapshots());
uint64_t time_snap1 = GetTimeOldestSnapshots();
ASSERT_GT(time_snap1, 0U);
Put(0, "foo", "0v2");
Put(1, "foo", "1v2");
env_->addon_time_.fetch_add(1);
const Snapshot* s2 = db_->GetSnapshot();
ASSERT_EQ(2U, GetNumSnapshots());
ASSERT_EQ(time_snap1, GetTimeOldestSnapshots());
Put(0, "foo", "0v3");
Put(1, "foo", "1v3");
{
ManagedSnapshot s3(db_);
ASSERT_EQ(3U, GetNumSnapshots());
ASSERT_EQ(time_snap1, GetTimeOldestSnapshots());
Put(0, "foo", "0v4");
Put(1, "foo", "1v4");
ASSERT_EQ("0v1", Get(0, "foo", s1));
ASSERT_EQ("1v1", Get(1, "foo", s1));
ASSERT_EQ("0v2", Get(0, "foo", s2));
ASSERT_EQ("1v2", Get(1, "foo", s2));
ASSERT_EQ("0v3", Get(0, "foo", s3.snapshot()));
ASSERT_EQ("1v3", Get(1, "foo", s3.snapshot()));
ASSERT_EQ("0v4", Get(0, "foo"));
ASSERT_EQ("1v4", Get(1, "foo"));
}
ASSERT_EQ(2U, GetNumSnapshots());
ASSERT_EQ(time_snap1, GetTimeOldestSnapshots());
ASSERT_EQ("0v1", Get(0, "foo", s1));
ASSERT_EQ("1v1", Get(1, "foo", s1));
ASSERT_EQ("0v2", Get(0, "foo", s2));
ASSERT_EQ("1v2", Get(1, "foo", s2));
ASSERT_EQ("0v4", Get(0, "foo"));
ASSERT_EQ("1v4", Get(1, "foo"));
db_->ReleaseSnapshot(s1);
ASSERT_EQ("0v2", Get(0, "foo", s2));
ASSERT_EQ("1v2", Get(1, "foo", s2));
ASSERT_EQ("0v4", Get(0, "foo"));
ASSERT_EQ("1v4", Get(1, "foo"));
ASSERT_EQ(1U, GetNumSnapshots());
ASSERT_LT(time_snap1, GetTimeOldestSnapshots());
db_->ReleaseSnapshot(s2);
ASSERT_EQ(0U, GetNumSnapshots());
ASSERT_EQ("0v4", Get(0, "foo"));
ASSERT_EQ("1v4", Get(1, "foo"));
} while (ChangeOptions());
}
#endif // ROCKSDB_LITE
TEST_F(DBBasicTest, CompactBetweenSnapshots) {
anon::OptionsOverride options_override;
options_override.skip_policy = kSkipNoSnapshot;
do {
Options options = CurrentOptions(options_override);
options.disable_auto_compactions = true;
CreateAndReopenWithCF({"pikachu"}, options);
Random rnd(301);
FillLevels("a", "z", 1);
Put(1, "foo", "first");
const Snapshot* snapshot1 = db_->GetSnapshot();
Put(1, "foo", "second");
Put(1, "foo", "third");
Put(1, "foo", "fourth");
const Snapshot* snapshot2 = db_->GetSnapshot();
Put(1, "foo", "fifth");
Put(1, "foo", "sixth");
// All entries (including duplicates) exist
// before any compaction or flush is triggered.
ASSERT_EQ(AllEntriesFor("foo", 1),
"[ sixth, fifth, fourth, third, second, first ]");
ASSERT_EQ("sixth", Get(1, "foo"));
ASSERT_EQ("fourth", Get(1, "foo", snapshot2));
ASSERT_EQ("first", Get(1, "foo", snapshot1));
// After a flush, "second", "third" and "fifth" should
// be removed
ASSERT_OK(Flush(1));
ASSERT_EQ(AllEntriesFor("foo", 1), "[ sixth, fourth, first ]");
// after we release the snapshot1, only two values left
db_->ReleaseSnapshot(snapshot1);
FillLevels("a", "z", 1);
dbfull()->CompactRange(CompactRangeOptions(), handles_[1], nullptr,
nullptr);
// We have only one valid snapshot snapshot2. Since snapshot1 is
// not valid anymore, "first" should be removed by a compaction.
ASSERT_EQ("sixth", Get(1, "foo"));
ASSERT_EQ("fourth", Get(1, "foo", snapshot2));
ASSERT_EQ(AllEntriesFor("foo", 1), "[ sixth, fourth ]");
// after we release the snapshot2, only one value should be left
db_->ReleaseSnapshot(snapshot2);
FillLevels("a", "z", 1);
dbfull()->CompactRange(CompactRangeOptions(), handles_[1], nullptr,
nullptr);
ASSERT_EQ("sixth", Get(1, "foo"));
ASSERT_EQ(AllEntriesFor("foo", 1), "[ sixth ]");
} while (ChangeOptions(kSkipFIFOCompaction));
}
TEST_F(DBBasicTest, DBOpen_Options) {
Options options = CurrentOptions();
Close();
Destroy(options);
// Does not exist, and create_if_missing == false: error
DB* db = nullptr;
options.create_if_missing = false;
Status s = DB::Open(options, dbname_, &db);
ASSERT_TRUE(strstr(s.ToString().c_str(), "does not exist") != nullptr);
ASSERT_TRUE(db == nullptr);
// Does not exist, and create_if_missing == true: OK
options.create_if_missing = true;
s = DB::Open(options, dbname_, &db);
ASSERT_OK(s);
ASSERT_TRUE(db != nullptr);
delete db;
db = nullptr;
// Does exist, and error_if_exists == true: error
options.create_if_missing = false;
options.error_if_exists = true;
s = DB::Open(options, dbname_, &db);
ASSERT_TRUE(strstr(s.ToString().c_str(), "exists") != nullptr);
ASSERT_TRUE(db == nullptr);
// Does exist, and error_if_exists == false: OK
options.create_if_missing = true;
options.error_if_exists = false;
s = DB::Open(options, dbname_, &db);
ASSERT_OK(s);
ASSERT_TRUE(db != nullptr);
delete db;
db = nullptr;
}
TEST_F(DBBasicTest, CompactOnFlush) {
anon::OptionsOverride options_override;
options_override.skip_policy = kSkipNoSnapshot;
do {
Options options = CurrentOptions(options_override);
options.disable_auto_compactions = true;
CreateAndReopenWithCF({"pikachu"}, options);
Put(1, "foo", "v1");
ASSERT_OK(Flush(1));
ASSERT_EQ(AllEntriesFor("foo", 1), "[ v1 ]");
// Write two new keys
Put(1, "a", "begin");
Put(1, "z", "end");
Flush(1);
// Case1: Delete followed by a put
Delete(1, "foo");
Put(1, "foo", "v2");
ASSERT_EQ(AllEntriesFor("foo", 1), "[ v2, DEL, v1 ]");
// After the current memtable is flushed, the DEL should
// have been removed
ASSERT_OK(Flush(1));
ASSERT_EQ(AllEntriesFor("foo", 1), "[ v2, v1 ]");
dbfull()->CompactRange(CompactRangeOptions(), handles_[1], nullptr,
nullptr);
ASSERT_EQ(AllEntriesFor("foo", 1), "[ v2 ]");
// Case 2: Delete followed by another delete
Delete(1, "foo");
Delete(1, "foo");
ASSERT_EQ(AllEntriesFor("foo", 1), "[ DEL, DEL, v2 ]");
ASSERT_OK(Flush(1));
ASSERT_EQ(AllEntriesFor("foo", 1), "[ DEL, v2 ]");
dbfull()->CompactRange(CompactRangeOptions(), handles_[1], nullptr,
nullptr);
ASSERT_EQ(AllEntriesFor("foo", 1), "[ ]");
// Case 3: Put followed by a delete
Put(1, "foo", "v3");
Delete(1, "foo");
ASSERT_EQ(AllEntriesFor("foo", 1), "[ DEL, v3 ]");
ASSERT_OK(Flush(1));
ASSERT_EQ(AllEntriesFor("foo", 1), "[ DEL ]");
dbfull()->CompactRange(CompactRangeOptions(), handles_[1], nullptr,
nullptr);
ASSERT_EQ(AllEntriesFor("foo", 1), "[ ]");
// Case 4: Put followed by another Put
Put(1, "foo", "v4");
Put(1, "foo", "v5");
ASSERT_EQ(AllEntriesFor("foo", 1), "[ v5, v4 ]");
ASSERT_OK(Flush(1));
ASSERT_EQ(AllEntriesFor("foo", 1), "[ v5 ]");
dbfull()->CompactRange(CompactRangeOptions(), handles_[1], nullptr,
nullptr);
ASSERT_EQ(AllEntriesFor("foo", 1), "[ v5 ]");
// clear database
Delete(1, "foo");
dbfull()->CompactRange(CompactRangeOptions(), handles_[1], nullptr,
nullptr);
ASSERT_EQ(AllEntriesFor("foo", 1), "[ ]");
// Case 5: Put followed by snapshot followed by another Put
// Both puts should remain.
Put(1, "foo", "v6");
const Snapshot* snapshot = db_->GetSnapshot();
Put(1, "foo", "v7");
ASSERT_OK(Flush(1));
ASSERT_EQ(AllEntriesFor("foo", 1), "[ v7, v6 ]");
db_->ReleaseSnapshot(snapshot);
// clear database
Delete(1, "foo");
dbfull()->CompactRange(CompactRangeOptions(), handles_[1], nullptr,
nullptr);
ASSERT_EQ(AllEntriesFor("foo", 1), "[ ]");
// Case 5: snapshot followed by a put followed by another Put
// Only the last put should remain.
const Snapshot* snapshot1 = db_->GetSnapshot();
Put(1, "foo", "v8");
Put(1, "foo", "v9");
ASSERT_OK(Flush(1));
ASSERT_EQ(AllEntriesFor("foo", 1), "[ v9 ]");
db_->ReleaseSnapshot(snapshot1);
} while (ChangeCompactOptions());
}
TEST_F(DBBasicTest, FlushOneColumnFamily) {
Options options = CurrentOptions();
CreateAndReopenWithCF({"pikachu", "ilya", "muromec", "dobrynia", "nikitich",
"alyosha", "popovich"},
options);
ASSERT_OK(Put(0, "Default", "Default"));
ASSERT_OK(Put(1, "pikachu", "pikachu"));
ASSERT_OK(Put(2, "ilya", "ilya"));
ASSERT_OK(Put(3, "muromec", "muromec"));
ASSERT_OK(Put(4, "dobrynia", "dobrynia"));
ASSERT_OK(Put(5, "nikitich", "nikitich"));
ASSERT_OK(Put(6, "alyosha", "alyosha"));
ASSERT_OK(Put(7, "popovich", "popovich"));
for (int i = 0; i < 8; ++i) {
Flush(i);
auto tables = ListTableFiles(env_, dbname_);
ASSERT_EQ(tables.size(), i + 1U);
}
}
TEST_F(DBBasicTest, MultiGetSimple) {
do {
CreateAndReopenWithCF({"pikachu"}, CurrentOptions());
SetPerfLevel(kEnableCount);
ASSERT_OK(Put(1, "k1", "v1"));
ASSERT_OK(Put(1, "k2", "v2"));
ASSERT_OK(Put(1, "k3", "v3"));
ASSERT_OK(Put(1, "k4", "v4"));
ASSERT_OK(Delete(1, "k4"));
ASSERT_OK(Put(1, "k5", "v5"));
ASSERT_OK(Delete(1, "no_key"));
std::vector<Slice> keys({"k1", "k2", "k3", "k4", "k5", "no_key"});
std::vector<std::string> values(20, "Temporary data to be overwritten");
std::vector<ColumnFamilyHandle*> cfs(keys.size(), handles_[1]);
get_perf_context()->Reset();
std::vector<Status> s = db_->MultiGet(ReadOptions(), cfs, keys, &values);
ASSERT_EQ(values.size(), keys.size());
ASSERT_EQ(values[0], "v1");
ASSERT_EQ(values[1], "v2");
ASSERT_EQ(values[2], "v3");
ASSERT_EQ(values[4], "v5");
// four kv pairs * two bytes per value
ASSERT_EQ(8, (int)get_perf_context()->multiget_read_bytes);
ASSERT_OK(s[0]);
ASSERT_OK(s[1]);
ASSERT_OK(s[2]);
ASSERT_TRUE(s[3].IsNotFound());
ASSERT_OK(s[4]);
ASSERT_TRUE(s[5].IsNotFound());
SetPerfLevel(kDisable);
} while (ChangeCompactOptions());
}
TEST_F(DBBasicTest, MultiGetEmpty) {
do {
CreateAndReopenWithCF({"pikachu"}, CurrentOptions());
// Empty Key Set
std::vector<Slice> keys;
std::vector<std::string> values;
std::vector<ColumnFamilyHandle*> cfs;
std::vector<Status> s = db_->MultiGet(ReadOptions(), cfs, keys, &values);
ASSERT_EQ(s.size(), 0U);
// Empty Database, Empty Key Set
Options options = CurrentOptions();
options.create_if_missing = true;
DestroyAndReopen(options);
CreateAndReopenWithCF({"pikachu"}, options);
s = db_->MultiGet(ReadOptions(), cfs, keys, &values);
ASSERT_EQ(s.size(), 0U);
// Empty Database, Search for Keys
keys.resize(2);
keys[0] = "a";
keys[1] = "b";
cfs.push_back(handles_[0]);
cfs.push_back(handles_[1]);
s = db_->MultiGet(ReadOptions(), cfs, keys, &values);
ASSERT_EQ(static_cast<int>(s.size()), 2);
ASSERT_TRUE(s[0].IsNotFound() && s[1].IsNotFound());
} while (ChangeCompactOptions());
}
TEST_F(DBBasicTest, ChecksumTest) {
BlockBasedTableOptions table_options;
Options options = CurrentOptions();
// change when new checksum type added
int max_checksum = static_cast<int>(kxxHash64);
const int kNumPerFile = 2;
// generate one table with each type of checksum
for (int i = 0; i <= max_checksum; ++i) {
table_options.checksum = static_cast<ChecksumType>(i);
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
Reopen(options);
for (int j = 0; j < kNumPerFile; ++j) {
ASSERT_OK(Put(Key(i * kNumPerFile + j), Key(i * kNumPerFile + j)));
}
ASSERT_OK(Flush());
}
// verify data with each type of checksum
for (int i = 0; i <= kxxHash64; ++i) {
table_options.checksum = static_cast<ChecksumType>(i);
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
Reopen(options);
for (int j = 0; j < (max_checksum + 1) * kNumPerFile; ++j) {
ASSERT_EQ(Key(j), Get(Key(j)));
}
}
}
// On Windows you can have either memory mapped file or a file
// with unbuffered access. So this asserts and does not make
// sense to run
#ifndef OS_WIN
TEST_F(DBBasicTest, MmapAndBufferOptions) {
Encryption at rest support Summary: This PR adds support for encrypting data stored by RocksDB when written to disk. It adds an `EncryptedEnv` override of the `Env` class with matching overrides for sequential&random access files. The encryption itself is done through a configurable `EncryptionProvider`. This class creates is asked to create `BlockAccessCipherStream` for a file. This is where the actual encryption/decryption is being done. Currently there is a Counter mode implementation of `BlockAccessCipherStream` with a `ROT13` block cipher (NOTE the `ROT13` is for demo purposes only!!). The Counter operation mode uses an initial counter & random initialization vector (IV). Both are created randomly for each file and stored in a 4K (default size) block that is prefixed to that file. The `EncryptedEnv` implementation is such that clients of the `Env` class do not see this prefix (nor data, nor in filesize). The largest part of the prefix block is also encrypted, and there is room left for implementation specific settings/values/keys in there. To test the encryption, the `DBTestBase` class has been extended to consider a new environment variable called `ENCRYPTED_ENV`. If set, the test will setup a encrypted instance of the `Env` class to use for all tests. Typically you would run it like this: ``` ENCRYPTED_ENV=1 make check_some ``` There is also an added test that checks that some data inserted into the database is or is not "visible" on disk. With `ENCRYPTED_ENV` active it must not find plain text strings, with `ENCRYPTED_ENV` unset, it must find the plain text strings. Closes https://github.com/facebook/rocksdb/pull/2424 Differential Revision: D5322178 Pulled By: sdwilsh fbshipit-source-id: 253b0a9c2c498cc98f580df7f2623cbf7678a27f
7 years ago
if (!IsMemoryMappedAccessSupported()) {
return;
}
Options options = CurrentOptions();
options.use_direct_reads = true;
options.allow_mmap_reads = true;
ASSERT_NOK(TryReopen(options));
// All other combinations are acceptable
options.use_direct_reads = false;
ASSERT_OK(TryReopen(options));
if (IsDirectIOSupported()) {
options.use_direct_reads = true;
options.allow_mmap_reads = false;
ASSERT_OK(TryReopen(options));
}
options.use_direct_reads = false;
ASSERT_OK(TryReopen(options));
}
#endif
class TestEnv : public EnvWrapper {
public:
explicit TestEnv() : EnvWrapper(Env::Default()),
close_count(0) { }
class TestLogger : public Logger {
public:
using Logger::Logv;
TestLogger(TestEnv *env_ptr) : Logger() { env = env_ptr; }
~TestLogger() override {
if (!closed_) {
CloseHelper();
}
}
void Logv(const char* /*format*/, va_list /*ap*/) override{};
protected:
Status CloseImpl() override { return CloseHelper(); }
private:
Status CloseHelper() {
env->CloseCountInc();;
return Status::IOError();
}
TestEnv *env;
};
void CloseCountInc() { close_count++; }
int GetCloseCount() { return close_count; }
Status NewLogger(const std::string& /*fname*/,
std::shared_ptr<Logger>* result) override {
result->reset(new TestLogger(this));
return Status::OK();
}
private:
int close_count;
};
TEST_F(DBBasicTest, DBClose) {
Options options = GetDefaultOptions();
std::string dbname = test::PerThreadDBPath("db_close_test");
ASSERT_OK(DestroyDB(dbname, options));
DB* db = nullptr;
TestEnv* env = new TestEnv();
options.create_if_missing = true;
options.env = env;
Status s = DB::Open(options, dbname, &db);
ASSERT_OK(s);
ASSERT_TRUE(db != nullptr);
s = db->Close();
ASSERT_EQ(env->GetCloseCount(), 1);
ASSERT_EQ(s, Status::IOError());
delete db;
ASSERT_EQ(env->GetCloseCount(), 1);
// Do not call DB::Close() and ensure our logger Close() still gets called
s = DB::Open(options, dbname, &db);
ASSERT_OK(s);
ASSERT_TRUE(db != nullptr);
delete db;
ASSERT_EQ(env->GetCloseCount(), 2);
// Provide our own logger and ensure DB::Close() does not close it
options.info_log.reset(new TestEnv::TestLogger(env));
options.create_if_missing = false;
s = DB::Open(options, dbname, &db);
ASSERT_OK(s);
ASSERT_TRUE(db != nullptr);
s = db->Close();
ASSERT_EQ(s, Status::OK());
delete db;
ASSERT_EQ(env->GetCloseCount(), 2);
options.info_log.reset();
ASSERT_EQ(env->GetCloseCount(), 3);
delete options.env;
}
TEST_F(DBBasicTest, DBCloseFlushError) {
std::unique_ptr<FaultInjectionTestEnv> fault_injection_env(
new FaultInjectionTestEnv(Env::Default()));
Options options = GetDefaultOptions();
options.create_if_missing = true;
options.manual_wal_flush = true;
options.write_buffer_size=100;
options.env = fault_injection_env.get();
Reopen(options);
ASSERT_OK(Put("key1", "value1"));
ASSERT_OK(Put("key2", "value2"));
ASSERT_OK(dbfull()->TEST_SwitchMemtable());
ASSERT_OK(Put("key3", "value3"));
fault_injection_env->SetFilesystemActive(false);
Status s = dbfull()->Close();
fault_injection_env->SetFilesystemActive(true);
ASSERT_NE(s, Status::OK());
Destroy(options);
}
TEST_F(DBBasicTest, MultiGetMultiCF) {
Options options = CurrentOptions();
CreateAndReopenWithCF({"pikachu", "ilya", "muromec", "dobrynia", "nikitich",
"alyosha", "popovich"},
options);
for (int i = 0; i < 8; ++i) {
ASSERT_OK(Put(i, "cf" + std::to_string(i) + "_key",
"cf" + std::to_string(i) + "_val"));
}
int get_sv_count = 0;
rocksdb::DBImpl* db = reinterpret_cast<DBImpl*>(db_);
rocksdb::SyncPoint::GetInstance()->SetCallBack(
"DBImpl::MultiGet::AfterRefSV", [&](void* /*arg*/) {
if (++get_sv_count == 2) {
// After MultiGet refs a couple of CFs, flush all CFs so MultiGet
// is forced to repeat the process
for (int i = 0; i < 8; ++i) {
ASSERT_OK(Flush(i));
ASSERT_OK(Put(i, "cf" + std::to_string(i) + "_key",
"cf" + std::to_string(i) + "_val2"));
}
}
if (get_sv_count == 11) {
for (int i = 0; i < 8; ++i) {
auto* cfd = reinterpret_cast<ColumnFamilyHandleImpl*>(
db->GetColumnFamilyHandle(i))
->cfd();
ASSERT_EQ(cfd->TEST_GetLocalSV()->Get(), SuperVersion::kSVInUse);
}
}
});
rocksdb::SyncPoint::GetInstance()->EnableProcessing();
std::vector<int> cfs;
std::vector<std::string> keys;
std::vector<std::string> values;
for (int i = 0; i < 8; ++i) {
cfs.push_back(i);
keys.push_back("cf" + std::to_string(i) + "_key");
}
Introduce a new MultiGet batching implementation (#5011) Summary: This PR introduces a new MultiGet() API, with the underlying implementation grouping keys based on SST file and batching lookups in a file. The reason for the new API is twofold - the definition allows callers to allocate storage for status and values on stack instead of std::vector, as well as return values as PinnableSlices in order to avoid copying, and it keeps the original MultiGet() implementation intact while we experiment with batching. Batching is useful when there is some spatial locality to the keys being queries, as well as larger batch sizes. The main benefits are due to - 1. Fewer function calls, especially to BlockBasedTableReader::MultiGet() and FullFilterBlockReader::KeysMayMatch() 2. Bloom filter cachelines can be prefetched, hiding the cache miss latency The next step is to optimize the binary searches in the level_storage_info, index blocks and data blocks, since we could reduce the number of key comparisons if the keys are relatively close to each other. The batching optimizations also need to be extended to other formats, such as PlainTable and filter formats. This also needs to be added to db_stress. Benchmark results from db_bench for various batch size/locality of reference combinations are given below. Locality was simulated by offsetting the keys in a batch by a stride length. Each SST file is about 8.6MB uncompressed and key/value size is 16/100 uncompressed. To focus on the cpu benefit of batching, the runs were single threaded and bound to the same cpu to eliminate interference from other system events. The results show a 10-25% improvement in micros/op from smaller to larger batch sizes (4 - 32). Batch Sizes 1 | 2 | 4 | 8 | 16 | 32 Random pattern (Stride length 0) 4.158 | 4.109 | 4.026 | 4.05 | 4.1 | 4.074 - Get 4.438 | 4.302 | 4.165 | 4.122 | 4.096 | 4.075 - MultiGet (no batching) 4.461 | 4.256 | 4.277 | 4.11 | 4.182 | 4.14 - MultiGet (w/ batching) Good locality (Stride length 16) 4.048 | 3.659 | 3.248 | 2.99 | 2.84 | 2.753 4.429 | 3.728 | 3.406 | 3.053 | 2.911 | 2.781 4.452 | 3.45 | 2.833 | 2.451 | 2.233 | 2.135 Good locality (Stride length 256) 4.066 | 3.786 | 3.581 | 3.447 | 3.415 | 3.232 4.406 | 4.005 | 3.644 | 3.49 | 3.381 | 3.268 4.393 | 3.649 | 3.186 | 2.882 | 2.676 | 2.62 Medium locality (Stride length 4096) 4.012 | 3.922 | 3.768 | 3.61 | 3.582 | 3.555 4.364 | 4.057 | 3.791 | 3.65 | 3.57 | 3.465 4.479 | 3.758 | 3.316 | 3.077 | 2.959 | 2.891 dbbench command used (on a DB with 4 levels, 12 million keys)- TEST_TMPDIR=/dev/shm numactl -C 10 ./db_bench.tmp -use_existing_db=true -benchmarks="readseq,multireadrandom" -write_buffer_size=4194304 -target_file_size_base=4194304 -max_bytes_for_level_base=16777216 -num=12000000 -reads=12000000 -duration=90 -threads=1 -compression_type=none -cache_size=4194304000 -batch_size=32 -disable_auto_compactions=true -bloom_bits=10 -cache_index_and_filter_blocks=true -pin_l0_filter_and_index_blocks_in_cache=true -multiread_batched=true -multiread_stride=4 Pull Request resolved: https://github.com/facebook/rocksdb/pull/5011 Differential Revision: D14348703 Pulled By: anand1976 fbshipit-source-id: 774406dab3776d979c809522a67bedac6c17f84b
6 years ago
values = MultiGet(cfs, keys, nullptr);
ASSERT_EQ(values.size(), 8);
for (unsigned int j = 0; j < values.size(); ++j) {
ASSERT_EQ(values[j], "cf" + std::to_string(j) + "_val2");
}
for (int i = 0; i < 8; ++i) {
auto* cfd = reinterpret_cast<ColumnFamilyHandleImpl*>(
reinterpret_cast<DBImpl*>(db_)->GetColumnFamilyHandle(i))
->cfd();
ASSERT_NE(cfd->TEST_GetLocalSV()->Get(), SuperVersion::kSVInUse);
ASSERT_NE(cfd->TEST_GetLocalSV()->Get(), SuperVersion::kSVObsolete);
}
}
TEST_F(DBBasicTest, MultiGetMultiCFMutex) {
Options options = CurrentOptions();
CreateAndReopenWithCF({"pikachu", "ilya", "muromec", "dobrynia", "nikitich",
"alyosha", "popovich"},
options);
for (int i = 0; i < 8; ++i) {
ASSERT_OK(Put(i, "cf" + std::to_string(i) + "_key",
"cf" + std::to_string(i) + "_val"));
}
int get_sv_count = 0;
int retries = 0;
bool last_try = false;
rocksdb::SyncPoint::GetInstance()->SetCallBack(
"DBImpl::MultiGet::LastTry", [&](void* /*arg*/) {
last_try = true;
rocksdb::SyncPoint::GetInstance()->DisableProcessing();
});
rocksdb::SyncPoint::GetInstance()->SetCallBack(
"DBImpl::MultiGet::AfterRefSV", [&](void* /*arg*/) {
if (last_try) {
return;
}
if (++get_sv_count == 2) {
++retries;
get_sv_count = 0;
for (int i = 0; i < 8; ++i) {
ASSERT_OK(Flush(i));
ASSERT_OK(Put(
i, "cf" + std::to_string(i) + "_key",
"cf" + std::to_string(i) + "_val" + std::to_string(retries)));
}
}
});
rocksdb::SyncPoint::GetInstance()->EnableProcessing();
std::vector<int> cfs;
std::vector<std::string> keys;
std::vector<std::string> values;
for (int i = 0; i < 8; ++i) {
cfs.push_back(i);
keys.push_back("cf" + std::to_string(i) + "_key");
}
Introduce a new MultiGet batching implementation (#5011) Summary: This PR introduces a new MultiGet() API, with the underlying implementation grouping keys based on SST file and batching lookups in a file. The reason for the new API is twofold - the definition allows callers to allocate storage for status and values on stack instead of std::vector, as well as return values as PinnableSlices in order to avoid copying, and it keeps the original MultiGet() implementation intact while we experiment with batching. Batching is useful when there is some spatial locality to the keys being queries, as well as larger batch sizes. The main benefits are due to - 1. Fewer function calls, especially to BlockBasedTableReader::MultiGet() and FullFilterBlockReader::KeysMayMatch() 2. Bloom filter cachelines can be prefetched, hiding the cache miss latency The next step is to optimize the binary searches in the level_storage_info, index blocks and data blocks, since we could reduce the number of key comparisons if the keys are relatively close to each other. The batching optimizations also need to be extended to other formats, such as PlainTable and filter formats. This also needs to be added to db_stress. Benchmark results from db_bench for various batch size/locality of reference combinations are given below. Locality was simulated by offsetting the keys in a batch by a stride length. Each SST file is about 8.6MB uncompressed and key/value size is 16/100 uncompressed. To focus on the cpu benefit of batching, the runs were single threaded and bound to the same cpu to eliminate interference from other system events. The results show a 10-25% improvement in micros/op from smaller to larger batch sizes (4 - 32). Batch Sizes 1 | 2 | 4 | 8 | 16 | 32 Random pattern (Stride length 0) 4.158 | 4.109 | 4.026 | 4.05 | 4.1 | 4.074 - Get 4.438 | 4.302 | 4.165 | 4.122 | 4.096 | 4.075 - MultiGet (no batching) 4.461 | 4.256 | 4.277 | 4.11 | 4.182 | 4.14 - MultiGet (w/ batching) Good locality (Stride length 16) 4.048 | 3.659 | 3.248 | 2.99 | 2.84 | 2.753 4.429 | 3.728 | 3.406 | 3.053 | 2.911 | 2.781 4.452 | 3.45 | 2.833 | 2.451 | 2.233 | 2.135 Good locality (Stride length 256) 4.066 | 3.786 | 3.581 | 3.447 | 3.415 | 3.232 4.406 | 4.005 | 3.644 | 3.49 | 3.381 | 3.268 4.393 | 3.649 | 3.186 | 2.882 | 2.676 | 2.62 Medium locality (Stride length 4096) 4.012 | 3.922 | 3.768 | 3.61 | 3.582 | 3.555 4.364 | 4.057 | 3.791 | 3.65 | 3.57 | 3.465 4.479 | 3.758 | 3.316 | 3.077 | 2.959 | 2.891 dbbench command used (on a DB with 4 levels, 12 million keys)- TEST_TMPDIR=/dev/shm numactl -C 10 ./db_bench.tmp -use_existing_db=true -benchmarks="readseq,multireadrandom" -write_buffer_size=4194304 -target_file_size_base=4194304 -max_bytes_for_level_base=16777216 -num=12000000 -reads=12000000 -duration=90 -threads=1 -compression_type=none -cache_size=4194304000 -batch_size=32 -disable_auto_compactions=true -bloom_bits=10 -cache_index_and_filter_blocks=true -pin_l0_filter_and_index_blocks_in_cache=true -multiread_batched=true -multiread_stride=4 Pull Request resolved: https://github.com/facebook/rocksdb/pull/5011 Differential Revision: D14348703 Pulled By: anand1976 fbshipit-source-id: 774406dab3776d979c809522a67bedac6c17f84b
6 years ago
values = MultiGet(cfs, keys, nullptr);
ASSERT_TRUE(last_try);
ASSERT_EQ(values.size(), 8);
for (unsigned int j = 0; j < values.size(); ++j) {
ASSERT_EQ(values[j],
"cf" + std::to_string(j) + "_val" + std::to_string(retries));
}
for (int i = 0; i < 8; ++i) {
auto* cfd = reinterpret_cast<ColumnFamilyHandleImpl*>(
reinterpret_cast<DBImpl*>(db_)->GetColumnFamilyHandle(i))
->cfd();
ASSERT_NE(cfd->TEST_GetLocalSV()->Get(), SuperVersion::kSVInUse);
}
}
TEST_F(DBBasicTest, MultiGetMultiCFSnapshot) {
Options options = CurrentOptions();
CreateAndReopenWithCF({"pikachu", "ilya", "muromec", "dobrynia", "nikitich",
"alyosha", "popovich"},
options);
for (int i = 0; i < 8; ++i) {
ASSERT_OK(Put(i, "cf" + std::to_string(i) + "_key",
"cf" + std::to_string(i) + "_val"));
}
int get_sv_count = 0;
rocksdb::DBImpl* db = reinterpret_cast<DBImpl*>(db_);
rocksdb::SyncPoint::GetInstance()->SetCallBack(
"DBImpl::MultiGet::AfterRefSV", [&](void* /*arg*/) {
if (++get_sv_count == 2) {
for (int i = 0; i < 8; ++i) {
ASSERT_OK(Flush(i));
ASSERT_OK(Put(i, "cf" + std::to_string(i) + "_key",
"cf" + std::to_string(i) + "_val2"));
}
}
if (get_sv_count == 8) {
for (int i = 0; i < 8; ++i) {
auto* cfd = reinterpret_cast<ColumnFamilyHandleImpl*>(
db->GetColumnFamilyHandle(i))
->cfd();
ASSERT_TRUE(
(cfd->TEST_GetLocalSV()->Get() == SuperVersion::kSVInUse) ||
(cfd->TEST_GetLocalSV()->Get() == SuperVersion::kSVObsolete));
}
}
});
rocksdb::SyncPoint::GetInstance()->EnableProcessing();
std::vector<int> cfs;
std::vector<std::string> keys;
std::vector<std::string> values;
for (int i = 0; i < 8; ++i) {
cfs.push_back(i);
keys.push_back("cf" + std::to_string(i) + "_key");
}
const Snapshot* snapshot = db_->GetSnapshot();
values = MultiGet(cfs, keys, snapshot);
db_->ReleaseSnapshot(snapshot);
ASSERT_EQ(values.size(), 8);
for (unsigned int j = 0; j < values.size(); ++j) {
ASSERT_EQ(values[j], "cf" + std::to_string(j) + "_val");
}
for (int i = 0; i < 8; ++i) {
auto* cfd = reinterpret_cast<ColumnFamilyHandleImpl*>(
reinterpret_cast<DBImpl*>(db_)->GetColumnFamilyHandle(i))
->cfd();
ASSERT_NE(cfd->TEST_GetLocalSV()->Get(), SuperVersion::kSVInUse);
}
}
TEST_F(DBBasicTest, MultiGetBatchedSimpleUnsorted) {
do {
CreateAndReopenWithCF({"pikachu"}, CurrentOptions());
SetPerfLevel(kEnableCount);
ASSERT_OK(Put(1, "k1", "v1"));
ASSERT_OK(Put(1, "k2", "v2"));
ASSERT_OK(Put(1, "k3", "v3"));
ASSERT_OK(Put(1, "k4", "v4"));
ASSERT_OK(Delete(1, "k4"));
ASSERT_OK(Put(1, "k5", "v5"));
ASSERT_OK(Delete(1, "no_key"));
get_perf_context()->Reset();
std::vector<Slice> keys({"no_key", "k5", "k4", "k3", "k2", "k1"});
std::vector<PinnableSlice> values(keys.size());
std::vector<ColumnFamilyHandle*> cfs(keys.size(), handles_[1]);
std::vector<Status> s(keys.size());
db_->MultiGet(ReadOptions(), handles_[1], keys.size(), keys.data(),
values.data(), s.data(), false);
ASSERT_EQ(values.size(), keys.size());
ASSERT_EQ(std::string(values[5].data(), values[5].size()), "v1");
ASSERT_EQ(std::string(values[4].data(), values[4].size()), "v2");
ASSERT_EQ(std::string(values[3].data(), values[3].size()), "v3");
ASSERT_EQ(std::string(values[1].data(), values[1].size()), "v5");
// four kv pairs * two bytes per value
ASSERT_EQ(8, (int)get_perf_context()->multiget_read_bytes);
ASSERT_TRUE(s[0].IsNotFound());
ASSERT_OK(s[1]);
ASSERT_TRUE(s[2].IsNotFound());
ASSERT_OK(s[3]);
ASSERT_OK(s[4]);
ASSERT_OK(s[5]);
SetPerfLevel(kDisable);
} while (ChangeCompactOptions());
}
TEST_F(DBBasicTest, MultiGetBatchedSimpleSorted) {
do {
CreateAndReopenWithCF({"pikachu"}, CurrentOptions());
SetPerfLevel(kEnableCount);
ASSERT_OK(Put(1, "k1", "v1"));
ASSERT_OK(Put(1, "k2", "v2"));
ASSERT_OK(Put(1, "k3", "v3"));
ASSERT_OK(Put(1, "k4", "v4"));
ASSERT_OK(Delete(1, "k4"));
ASSERT_OK(Put(1, "k5", "v5"));
ASSERT_OK(Delete(1, "no_key"));
get_perf_context()->Reset();
std::vector<Slice> keys({"k1", "k2", "k3", "k4", "k5", "no_key"});
std::vector<PinnableSlice> values(keys.size());
std::vector<ColumnFamilyHandle*> cfs(keys.size(), handles_[1]);
std::vector<Status> s(keys.size());
db_->MultiGet(ReadOptions(), handles_[1], keys.size(), keys.data(),
values.data(), s.data(), true);
ASSERT_EQ(values.size(), keys.size());
ASSERT_EQ(std::string(values[0].data(), values[0].size()), "v1");
ASSERT_EQ(std::string(values[1].data(), values[1].size()), "v2");
ASSERT_EQ(std::string(values[2].data(), values[2].size()), "v3");
ASSERT_EQ(std::string(values[4].data(), values[4].size()), "v5");
// four kv pairs * two bytes per value
ASSERT_EQ(8, (int)get_perf_context()->multiget_read_bytes);
ASSERT_OK(s[0]);
ASSERT_OK(s[1]);
ASSERT_OK(s[2]);
ASSERT_TRUE(s[3].IsNotFound());
ASSERT_OK(s[4]);
ASSERT_TRUE(s[5].IsNotFound());
SetPerfLevel(kDisable);
} while (ChangeCompactOptions());
}
Introduce a new MultiGet batching implementation (#5011) Summary: This PR introduces a new MultiGet() API, with the underlying implementation grouping keys based on SST file and batching lookups in a file. The reason for the new API is twofold - the definition allows callers to allocate storage for status and values on stack instead of std::vector, as well as return values as PinnableSlices in order to avoid copying, and it keeps the original MultiGet() implementation intact while we experiment with batching. Batching is useful when there is some spatial locality to the keys being queries, as well as larger batch sizes. The main benefits are due to - 1. Fewer function calls, especially to BlockBasedTableReader::MultiGet() and FullFilterBlockReader::KeysMayMatch() 2. Bloom filter cachelines can be prefetched, hiding the cache miss latency The next step is to optimize the binary searches in the level_storage_info, index blocks and data blocks, since we could reduce the number of key comparisons if the keys are relatively close to each other. The batching optimizations also need to be extended to other formats, such as PlainTable and filter formats. This also needs to be added to db_stress. Benchmark results from db_bench for various batch size/locality of reference combinations are given below. Locality was simulated by offsetting the keys in a batch by a stride length. Each SST file is about 8.6MB uncompressed and key/value size is 16/100 uncompressed. To focus on the cpu benefit of batching, the runs were single threaded and bound to the same cpu to eliminate interference from other system events. The results show a 10-25% improvement in micros/op from smaller to larger batch sizes (4 - 32). Batch Sizes 1 | 2 | 4 | 8 | 16 | 32 Random pattern (Stride length 0) 4.158 | 4.109 | 4.026 | 4.05 | 4.1 | 4.074 - Get 4.438 | 4.302 | 4.165 | 4.122 | 4.096 | 4.075 - MultiGet (no batching) 4.461 | 4.256 | 4.277 | 4.11 | 4.182 | 4.14 - MultiGet (w/ batching) Good locality (Stride length 16) 4.048 | 3.659 | 3.248 | 2.99 | 2.84 | 2.753 4.429 | 3.728 | 3.406 | 3.053 | 2.911 | 2.781 4.452 | 3.45 | 2.833 | 2.451 | 2.233 | 2.135 Good locality (Stride length 256) 4.066 | 3.786 | 3.581 | 3.447 | 3.415 | 3.232 4.406 | 4.005 | 3.644 | 3.49 | 3.381 | 3.268 4.393 | 3.649 | 3.186 | 2.882 | 2.676 | 2.62 Medium locality (Stride length 4096) 4.012 | 3.922 | 3.768 | 3.61 | 3.582 | 3.555 4.364 | 4.057 | 3.791 | 3.65 | 3.57 | 3.465 4.479 | 3.758 | 3.316 | 3.077 | 2.959 | 2.891 dbbench command used (on a DB with 4 levels, 12 million keys)- TEST_TMPDIR=/dev/shm numactl -C 10 ./db_bench.tmp -use_existing_db=true -benchmarks="readseq,multireadrandom" -write_buffer_size=4194304 -target_file_size_base=4194304 -max_bytes_for_level_base=16777216 -num=12000000 -reads=12000000 -duration=90 -threads=1 -compression_type=none -cache_size=4194304000 -batch_size=32 -disable_auto_compactions=true -bloom_bits=10 -cache_index_and_filter_blocks=true -pin_l0_filter_and_index_blocks_in_cache=true -multiread_batched=true -multiread_stride=4 Pull Request resolved: https://github.com/facebook/rocksdb/pull/5011 Differential Revision: D14348703 Pulled By: anand1976 fbshipit-source-id: 774406dab3776d979c809522a67bedac6c17f84b
6 years ago
TEST_F(DBBasicTest, MultiGetBatchedMultiLevel) {
Options options = CurrentOptions();
options.disable_auto_compactions = true;
Reopen(options);
int num_keys = 0;
for (int i = 0; i < 128; ++i) {
ASSERT_OK(Put("key_" + std::to_string(i), "val_l2_" + std::to_string(i)));
num_keys++;
if (num_keys == 8) {
Flush();
num_keys = 0;
}
}
if (num_keys > 0) {
Flush();
num_keys = 0;
}
MoveFilesToLevel(2);
for (int i = 0; i < 128; i += 3) {
ASSERT_OK(Put("key_" + std::to_string(i), "val_l1_" + std::to_string(i)));
num_keys++;
if (num_keys == 8) {
Flush();
num_keys = 0;
}
}
if (num_keys > 0) {
Flush();
num_keys = 0;
}
MoveFilesToLevel(1);
for (int i = 0; i < 128; i += 5) {
ASSERT_OK(Put("key_" + std::to_string(i), "val_l0_" + std::to_string(i)));
num_keys++;
if (num_keys == 8) {
Flush();
num_keys = 0;
}
}
if (num_keys > 0) {
Flush();
num_keys = 0;
}
ASSERT_EQ(0, num_keys);
Introduce a new MultiGet batching implementation (#5011) Summary: This PR introduces a new MultiGet() API, with the underlying implementation grouping keys based on SST file and batching lookups in a file. The reason for the new API is twofold - the definition allows callers to allocate storage for status and values on stack instead of std::vector, as well as return values as PinnableSlices in order to avoid copying, and it keeps the original MultiGet() implementation intact while we experiment with batching. Batching is useful when there is some spatial locality to the keys being queries, as well as larger batch sizes. The main benefits are due to - 1. Fewer function calls, especially to BlockBasedTableReader::MultiGet() and FullFilterBlockReader::KeysMayMatch() 2. Bloom filter cachelines can be prefetched, hiding the cache miss latency The next step is to optimize the binary searches in the level_storage_info, index blocks and data blocks, since we could reduce the number of key comparisons if the keys are relatively close to each other. The batching optimizations also need to be extended to other formats, such as PlainTable and filter formats. This also needs to be added to db_stress. Benchmark results from db_bench for various batch size/locality of reference combinations are given below. Locality was simulated by offsetting the keys in a batch by a stride length. Each SST file is about 8.6MB uncompressed and key/value size is 16/100 uncompressed. To focus on the cpu benefit of batching, the runs were single threaded and bound to the same cpu to eliminate interference from other system events. The results show a 10-25% improvement in micros/op from smaller to larger batch sizes (4 - 32). Batch Sizes 1 | 2 | 4 | 8 | 16 | 32 Random pattern (Stride length 0) 4.158 | 4.109 | 4.026 | 4.05 | 4.1 | 4.074 - Get 4.438 | 4.302 | 4.165 | 4.122 | 4.096 | 4.075 - MultiGet (no batching) 4.461 | 4.256 | 4.277 | 4.11 | 4.182 | 4.14 - MultiGet (w/ batching) Good locality (Stride length 16) 4.048 | 3.659 | 3.248 | 2.99 | 2.84 | 2.753 4.429 | 3.728 | 3.406 | 3.053 | 2.911 | 2.781 4.452 | 3.45 | 2.833 | 2.451 | 2.233 | 2.135 Good locality (Stride length 256) 4.066 | 3.786 | 3.581 | 3.447 | 3.415 | 3.232 4.406 | 4.005 | 3.644 | 3.49 | 3.381 | 3.268 4.393 | 3.649 | 3.186 | 2.882 | 2.676 | 2.62 Medium locality (Stride length 4096) 4.012 | 3.922 | 3.768 | 3.61 | 3.582 | 3.555 4.364 | 4.057 | 3.791 | 3.65 | 3.57 | 3.465 4.479 | 3.758 | 3.316 | 3.077 | 2.959 | 2.891 dbbench command used (on a DB with 4 levels, 12 million keys)- TEST_TMPDIR=/dev/shm numactl -C 10 ./db_bench.tmp -use_existing_db=true -benchmarks="readseq,multireadrandom" -write_buffer_size=4194304 -target_file_size_base=4194304 -max_bytes_for_level_base=16777216 -num=12000000 -reads=12000000 -duration=90 -threads=1 -compression_type=none -cache_size=4194304000 -batch_size=32 -disable_auto_compactions=true -bloom_bits=10 -cache_index_and_filter_blocks=true -pin_l0_filter_and_index_blocks_in_cache=true -multiread_batched=true -multiread_stride=4 Pull Request resolved: https://github.com/facebook/rocksdb/pull/5011 Differential Revision: D14348703 Pulled By: anand1976 fbshipit-source-id: 774406dab3776d979c809522a67bedac6c17f84b
6 years ago
for (int i = 0; i < 128; i += 9) {
ASSERT_OK(Put("key_" + std::to_string(i), "val_mem_" + std::to_string(i)));
}
std::vector<std::string> keys;
std::vector<std::string> values;
for (int i = 64; i < 80; ++i) {
keys.push_back("key_" + std::to_string(i));
}
values = MultiGet(keys, nullptr);
ASSERT_EQ(values.size(), 16);
for (unsigned int j = 0; j < values.size(); ++j) {
int key = j + 64;
if (key % 9 == 0) {
ASSERT_EQ(values[j], "val_mem_" + std::to_string(key));
} else if (key % 5 == 0) {
ASSERT_EQ(values[j], "val_l0_" + std::to_string(key));
} else if (key % 3 == 0) {
ASSERT_EQ(values[j], "val_l1_" + std::to_string(key));
} else {
ASSERT_EQ(values[j], "val_l2_" + std::to_string(key));
}
}
}
} // namespace rocksdb
int main(int argc, char** argv) {
rocksdb::port::InstallStackTraceHandler();
::testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}