mirror of
https://github.com/facebook/rocksdb.git
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62fc15f009
Summary: add option `block_protection_bytes_per_key` and implementation for block per key-value checksum. The main changes are 1. checksum construction and verification in block.cc/h 2. pass the option `block_protection_bytes_per_key` around (mainly for methods defined in table_cache.h) 3. unit tests/crash test updates Tests: * Added unit tests * Crash test: `python3 tools/db_crashtest.py blackbox --simple --block_protection_bytes_per_key=1 --write_buffer_size=1048576` Follow up (maybe as a separate PR): make sure corruption status returned from BlockIters are correctly handled. Performance: Turning on block per KV protection has a non-trivial negative impact on read performance and costs additional memory. For memory, each block includes additional 24 bytes for checksum-related states beside checksum itself. For CPU, I set up a DB of size ~1.2GB with 5M keys (32 bytes key and 200 bytes value) which compacts to ~5 SST files (target file size 256 MB) in L6 without compression. I tested readrandom performance with various block cache size (to mimic various cache hit rates): ``` SETUP make OPTIMIZE_LEVEL="-O3" USE_LTO=1 DEBUG_LEVEL=0 -j32 db_bench ./db_bench -benchmarks=fillseq,compact0,waitforcompaction,compact,waitforcompaction -write_buffer_size=33554432 -level_compaction_dynamic_level_bytes=true -max_background_jobs=8 -target_file_size_base=268435456 --num=5000000 --key_size=32 --value_size=200 --compression_type=none BENCHMARK ./db_bench --use_existing_db -benchmarks=readtocache,readrandom[-X10] --num=5000000 --key_size=32 --disable_auto_compactions --reads=1000000 --block_protection_bytes_per_key=[0|1] --cache_size=$CACHESIZE The readrandom ops/sec looks like the following: Block cache size: 2GB 1.2GB * 0.9 1.2GB * 0.8 1.2GB * 0.5 8MB Main 240805 223604 198176 161653 139040 PR prot_bytes=0 238691 226693 200127 161082 141153 PR prot_bytes=1 214983 193199 178532 137013 108211 prot_bytes=1 vs -10% -15% -10.8% -15% -23% prot_bytes=0 ``` The benchmark has a lot of variance, but there was a 5% to 25% regression in this benchmark with different cache hit rates. Pull Request resolved: https://github.com/facebook/rocksdb/pull/11287 Reviewed By: ajkr Differential Revision: D43970708 Pulled By: cbi42 fbshipit-source-id: ef98d898b71779846fa74212b9ec9e08b7183940
340 lines
13 KiB
C++
340 lines
13 KiB
C++
// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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// This source code is licensed under both the GPLv2 (found in the
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// COPYING file in the root directory) and Apache 2.0 License
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// (found in the LICENSE.Apache file in the root directory).
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#ifndef GFLAGS
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#include <cstdio>
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int main() {
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fprintf(stderr, "Please install gflags to run rocksdb tools\n");
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return 1;
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}
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#else
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#include "db/db_impl/db_impl.h"
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#include "db/dbformat.h"
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#include "file/random_access_file_reader.h"
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#include "monitoring/histogram.h"
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#include "rocksdb/db.h"
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#include "rocksdb/file_system.h"
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#include "rocksdb/slice_transform.h"
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#include "rocksdb/system_clock.h"
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#include "rocksdb/table.h"
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#include "table/block_based/block_based_table_factory.h"
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#include "table/get_context.h"
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#include "table/internal_iterator.h"
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#include "table/plain/plain_table_factory.h"
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#include "table/table_builder.h"
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#include "test_util/testharness.h"
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#include "test_util/testutil.h"
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#include "util/gflags_compat.h"
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using GFLAGS_NAMESPACE::ParseCommandLineFlags;
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using GFLAGS_NAMESPACE::SetUsageMessage;
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namespace ROCKSDB_NAMESPACE {
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namespace {
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// Make a key that i determines the first 4 characters and j determines the
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// last 4 characters.
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static std::string MakeKey(int i, int j, bool through_db) {
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char buf[100];
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snprintf(buf, sizeof(buf), "%04d__key___%04d", i, j);
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if (through_db) {
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return std::string(buf);
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}
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// If we directly query table, which operates on internal keys
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// instead of user keys, we need to add 8 bytes of internal
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// information (row type etc) to user key to make an internal
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// key.
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InternalKey key(std::string(buf), 0, ValueType::kTypeValue);
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return key.Encode().ToString();
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}
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uint64_t Now(SystemClock* clock, bool measured_by_nanosecond) {
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return measured_by_nanosecond ? clock->NowNanos() : clock->NowMicros();
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}
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} // namespace
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// A very simple benchmark that.
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// Create a table with roughly numKey1 * numKey2 keys,
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// where there are numKey1 prefixes of the key, each has numKey2 number of
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// distinguished key, differing in the suffix part.
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// If if_query_empty_keys = false, query the existing keys numKey1 * numKey2
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// times randomly.
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// If if_query_empty_keys = true, query numKey1 * numKey2 random empty keys.
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// Print out the total time.
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// If through_db=true, a full DB will be created and queries will be against
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// it. Otherwise, operations will be directly through table level.
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//
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// If for_terator=true, instead of just query one key each time, it queries
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// a range sharing the same prefix.
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namespace {
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void TableReaderBenchmark(Options& opts, EnvOptions& env_options,
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ReadOptions& read_options, int num_keys1,
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int num_keys2, int num_iter, int /*prefix_len*/,
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bool if_query_empty_keys, bool for_iterator,
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bool through_db, bool measured_by_nanosecond) {
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ROCKSDB_NAMESPACE::InternalKeyComparator ikc(opts.comparator);
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std::string file_name =
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test::PerThreadDBPath("rocksdb_table_reader_benchmark");
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std::string dbname = test::PerThreadDBPath("rocksdb_table_reader_bench_db");
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WriteOptions wo;
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Env* env = Env::Default();
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auto* clock = env->GetSystemClock().get();
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TableBuilder* tb = nullptr;
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DB* db = nullptr;
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Status s;
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const ImmutableOptions ioptions(opts);
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const ColumnFamilyOptions cfo(opts);
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const MutableCFOptions moptions(cfo);
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std::unique_ptr<WritableFileWriter> file_writer;
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if (!through_db) {
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ASSERT_OK(WritableFileWriter::Create(env->GetFileSystem(), file_name,
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FileOptions(env_options), &file_writer,
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nullptr));
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IntTblPropCollectorFactories int_tbl_prop_collector_factories;
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int unknown_level = -1;
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tb = opts.table_factory->NewTableBuilder(
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TableBuilderOptions(
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ioptions, moptions, ikc, &int_tbl_prop_collector_factories,
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CompressionType::kNoCompression, CompressionOptions(),
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0 /* column_family_id */, kDefaultColumnFamilyName, unknown_level),
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file_writer.get());
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} else {
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s = DB::Open(opts, dbname, &db);
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ASSERT_OK(s);
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ASSERT_TRUE(db != nullptr);
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}
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// Populate slightly more than 1M keys
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for (int i = 0; i < num_keys1; i++) {
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for (int j = 0; j < num_keys2; j++) {
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std::string key = MakeKey(i * 2, j, through_db);
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if (!through_db) {
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tb->Add(key, key);
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} else {
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db->Put(wo, key, key);
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}
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}
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}
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if (!through_db) {
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tb->Finish();
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file_writer->Close();
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} else {
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db->Flush(FlushOptions());
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}
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std::unique_ptr<TableReader> table_reader;
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if (!through_db) {
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const auto& fs = env->GetFileSystem();
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FileOptions fopts(env_options);
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std::unique_ptr<FSRandomAccessFile> raf;
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s = fs->NewRandomAccessFile(file_name, fopts, &raf, nullptr);
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if (!s.ok()) {
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fprintf(stderr, "Create File Error: %s\n", s.ToString().c_str());
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exit(1);
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}
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uint64_t file_size;
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fs->GetFileSize(file_name, fopts.io_options, &file_size, nullptr);
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std::unique_ptr<RandomAccessFileReader> file_reader(
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new RandomAccessFileReader(std::move(raf), file_name));
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s = opts.table_factory->NewTableReader(
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TableReaderOptions(ioptions, moptions.prefix_extractor, env_options,
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ikc, 0 /* block_protection_bytes_per_key */),
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std::move(file_reader), file_size, &table_reader);
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if (!s.ok()) {
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fprintf(stderr, "Open Table Error: %s\n", s.ToString().c_str());
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exit(1);
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}
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}
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Random rnd(301);
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std::string result;
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HistogramImpl hist;
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for (int it = 0; it < num_iter; it++) {
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for (int i = 0; i < num_keys1; i++) {
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for (int j = 0; j < num_keys2; j++) {
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int r1 = rnd.Uniform(num_keys1) * 2;
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int r2 = rnd.Uniform(num_keys2);
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if (if_query_empty_keys) {
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r1++;
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r2 = num_keys2 * 2 - r2;
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}
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if (!for_iterator) {
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// Query one existing key;
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std::string key = MakeKey(r1, r2, through_db);
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uint64_t start_time = Now(clock, measured_by_nanosecond);
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if (!through_db) {
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PinnableSlice value;
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MergeContext merge_context;
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SequenceNumber max_covering_tombstone_seq = 0;
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GetContext get_context(
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ioptions.user_comparator, ioptions.merge_operator.get(),
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ioptions.logger, ioptions.stats, GetContext::kNotFound,
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Slice(key), &value, /*columns=*/nullptr, /*timestamp=*/nullptr,
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&merge_context, true, &max_covering_tombstone_seq, clock);
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s = table_reader->Get(read_options, key, &get_context, nullptr);
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} else {
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s = db->Get(read_options, key, &result);
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}
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hist.Add(Now(clock, measured_by_nanosecond) - start_time);
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} else {
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int r2_len;
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if (if_query_empty_keys) {
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r2_len = 0;
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} else {
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r2_len = rnd.Uniform(num_keys2) + 1;
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if (r2_len + r2 > num_keys2) {
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r2_len = num_keys2 - r2;
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}
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}
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std::string start_key = MakeKey(r1, r2, through_db);
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std::string end_key = MakeKey(r1, r2 + r2_len, through_db);
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uint64_t total_time = 0;
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uint64_t start_time = Now(clock, measured_by_nanosecond);
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Iterator* iter = nullptr;
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InternalIterator* iiter = nullptr;
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if (!through_db) {
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iiter = table_reader->NewIterator(
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read_options, /*prefix_extractor=*/nullptr, /*arena=*/nullptr,
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/*skip_filters=*/false, TableReaderCaller::kUncategorized);
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} else {
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iter = db->NewIterator(read_options);
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}
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int count = 0;
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for (through_db ? iter->Seek(start_key) : iiter->Seek(start_key);
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through_db ? iter->Valid() : iiter->Valid();
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through_db ? iter->Next() : iiter->Next()) {
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if (if_query_empty_keys) {
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break;
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}
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// verify key;
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total_time += Now(clock, measured_by_nanosecond) - start_time;
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assert(Slice(MakeKey(r1, r2 + count, through_db)) ==
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(through_db ? iter->key() : iiter->key()));
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start_time = Now(clock, measured_by_nanosecond);
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if (++count >= r2_len) {
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break;
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}
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}
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if (count != r2_len) {
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fprintf(stderr,
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"Iterator cannot iterate expected number of entries. "
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"Expected %d but got %d\n",
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r2_len, count);
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assert(false);
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}
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delete iter;
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total_time += Now(clock, measured_by_nanosecond) - start_time;
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hist.Add(total_time);
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}
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}
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}
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}
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fprintf(
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stderr,
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"==================================================="
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"====================================================\n"
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"InMemoryTableSimpleBenchmark: %20s num_key1: %5d "
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"num_key2: %5d %10s\n"
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"==================================================="
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"===================================================="
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"\nHistogram (unit: %s): \n%s",
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opts.table_factory->Name(), num_keys1, num_keys2,
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for_iterator ? "iterator" : (if_query_empty_keys ? "empty" : "non_empty"),
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measured_by_nanosecond ? "nanosecond" : "microsecond",
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hist.ToString().c_str());
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if (!through_db) {
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env->DeleteFile(file_name);
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} else {
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delete db;
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db = nullptr;
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DestroyDB(dbname, opts);
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}
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}
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} // namespace
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} // namespace ROCKSDB_NAMESPACE
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DEFINE_bool(query_empty, false,
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"query non-existing keys instead of existing ones.");
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DEFINE_int32(num_keys1, 4096, "number of distinguish prefix of keys");
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DEFINE_int32(num_keys2, 512, "number of distinguish keys for each prefix");
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DEFINE_int32(iter, 3, "query non-existing keys instead of existing ones");
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DEFINE_int32(prefix_len, 16, "Prefix length used for iterators and indexes");
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DEFINE_bool(iterator, false, "For test iterator");
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DEFINE_bool(through_db, false,
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"If enable, a DB instance will be created and the query will be "
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"against DB. Otherwise, will be directly against a table reader.");
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DEFINE_bool(mmap_read, true, "Whether use mmap read");
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DEFINE_string(table_factory, "block_based",
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"Table factory to use: `block_based` (default), `plain_table` or "
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"`cuckoo_hash`.");
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DEFINE_string(time_unit, "microsecond",
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"The time unit used for measuring performance. User can specify "
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"`microsecond` (default) or `nanosecond`");
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int main(int argc, char** argv) {
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SetUsageMessage(std::string("\nUSAGE:\n") + std::string(argv[0]) +
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" [OPTIONS]...");
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ParseCommandLineFlags(&argc, &argv, true);
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std::shared_ptr<ROCKSDB_NAMESPACE::TableFactory> tf;
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ROCKSDB_NAMESPACE::Options options;
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if (FLAGS_prefix_len < 16) {
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options.prefix_extractor.reset(
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ROCKSDB_NAMESPACE::NewFixedPrefixTransform(FLAGS_prefix_len));
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}
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ROCKSDB_NAMESPACE::ReadOptions ro;
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ROCKSDB_NAMESPACE::EnvOptions env_options;
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options.create_if_missing = true;
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options.compression = ROCKSDB_NAMESPACE::CompressionType::kNoCompression;
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if (FLAGS_table_factory == "cuckoo_hash") {
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options.allow_mmap_reads = FLAGS_mmap_read;
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env_options.use_mmap_reads = FLAGS_mmap_read;
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ROCKSDB_NAMESPACE::CuckooTableOptions table_options;
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table_options.hash_table_ratio = 0.75;
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tf.reset(ROCKSDB_NAMESPACE::NewCuckooTableFactory(table_options));
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} else if (FLAGS_table_factory == "plain_table") {
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options.allow_mmap_reads = FLAGS_mmap_read;
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env_options.use_mmap_reads = FLAGS_mmap_read;
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ROCKSDB_NAMESPACE::PlainTableOptions plain_table_options;
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plain_table_options.user_key_len = 16;
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plain_table_options.bloom_bits_per_key = (FLAGS_prefix_len == 16) ? 0 : 8;
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plain_table_options.hash_table_ratio = 0.75;
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tf.reset(new ROCKSDB_NAMESPACE::PlainTableFactory(plain_table_options));
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options.prefix_extractor.reset(
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ROCKSDB_NAMESPACE::NewFixedPrefixTransform(FLAGS_prefix_len));
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} else if (FLAGS_table_factory == "block_based") {
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tf.reset(new ROCKSDB_NAMESPACE::BlockBasedTableFactory());
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} else {
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fprintf(stderr, "Invalid table type %s\n", FLAGS_table_factory.c_str());
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}
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if (tf) {
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// if user provides invalid options, just fall back to microsecond.
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bool measured_by_nanosecond = FLAGS_time_unit == "nanosecond";
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options.table_factory = tf;
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ROCKSDB_NAMESPACE::TableReaderBenchmark(
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options, env_options, ro, FLAGS_num_keys1, FLAGS_num_keys2, FLAGS_iter,
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FLAGS_prefix_len, FLAGS_query_empty, FLAGS_iterator, FLAGS_through_db,
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measured_by_nanosecond);
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} else {
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return 1;
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}
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return 0;
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}
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#endif // GFLAGS
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