49623f9c8e
Summary: **Context:** Through heap profiling, we discovered that `BlockBasedTableReader` objects can accumulate and lead to high memory usage (e.g, `max_open_file = -1`). These memories are currently not saved, not tracked, not constrained and not cache evict-able. As a first step to improve this, similar to https://github.com/facebook/rocksdb/pull/8428, this PR is to track an estimate of `BlockBasedTableReader` object's memory in block cache and fail future creation if the memory usage exceeds the available space of cache at the time of creation. **Summary:** - Approximate big memory users (`BlockBasedTable::Rep` and `TableProperties` )' memory usage in addition to the existing estimated ones (filter block/index block/un-compression dictionary) - Charge all of these memory usages to block cache on `BlockBasedTable::Open()` and release them on `~BlockBasedTable()` as there is no memory usage fluctuation of concern in between - Refactor on CacheReservationManager (and its call-sites) to add concurrent support for BlockBasedTable used in this PR. Pull Request resolved: https://github.com/facebook/rocksdb/pull/9748 Test Plan: - New unit tests - db bench: `OpenDb` : **-0.52% in ms** - Setup `./db_bench -benchmarks=fillseq -db=/dev/shm/testdb -disable_auto_compactions=1 -write_buffer_size=1048576` - Repeated run with pre-change w/o feature and post-change with feature, benchmark `OpenDb`: `./db_bench -benchmarks=readrandom -use_existing_db=1 -db=/dev/shm/testdb -reserve_table_reader_memory=true (remove this when running w/o feature) -file_opening_threads=3 -open_files=-1 -report_open_timing=true| egrep 'OpenDb:'` #-run | (feature-off) avg milliseconds | std milliseconds | (feature-on) avg milliseconds | std milliseconds | change (%) -- | -- | -- | -- | -- | -- 10 | 11.4018 | 5.95173 | 9.47788 | 1.57538 | -16.87382694 20 | 9.23746 | 0.841053 | 9.32377 | 1.14074 | 0.9343477536 40 | 9.0876 | 0.671129 | 9.35053 | 1.11713 | 2.893283155 80 | 9.72514 | 2.28459 | 9.52013 | 1.0894 | -2.108041632 160 | 9.74677 | 0.991234 | 9.84743 | 1.73396 | 1.032752389 320 | 10.7297 | 5.11555 | 10.547 | 1.97692 | **-1.70275031** 640 | 11.7092 | 2.36565 | 11.7869 | 2.69377 | **0.6635807741** - db bench on write with cost to cache in WriteBufferManager (just in case this PR's CRM refactoring accidentally slows down anything in WBM) : `fillseq` : **+0.54% in micros/op** `./db_bench -benchmarks=fillseq -db=/dev/shm/testdb -disable_auto_compactions=1 -cost_write_buffer_to_cache=true -write_buffer_size=10000000000 | egrep 'fillseq'` #-run | (pre-PR) avg micros/op | std micros/op | (post-PR) avg micros/op | std micros/op | change (%) -- | -- | -- | -- | -- | -- 10 | 6.15 | 0.260187 | 6.289 | 0.371192 | 2.260162602 20 | 7.28025 | 0.465402 | 7.37255 | 0.451256 | 1.267813605 40 | 7.06312 | 0.490654 | 7.13803 | 0.478676 | **1.060579461** 80 | 7.14035 | 0.972831 | 7.14196 | 0.92971 | **0.02254791432** - filter bench: `bloom filter`: **-0.78% in ms/key** - ` ./filter_bench -impl=2 -quick -reserve_table_builder_memory=true | grep 'Build avg'` #-run | (pre-PR) avg ns/key | std ns/key | (post-PR) ns/key | std ns/key | change (%) -- | -- | -- | -- | -- | -- 10 | 26.4369 | 0.442182 | 26.3273 | 0.422919 | **-0.4145720565** 20 | 26.4451 | 0.592787 | 26.1419 | 0.62451 | **-1.1465262** - Crash test `python3 tools/db_crashtest.py blackbox --reserve_table_reader_memory=1 --cache_size=1` killed as normal Reviewed By: ajkr Differential Revision: D35136549 Pulled By: hx235 fbshipit-source-id: 146978858d0f900f43f4eb09bfd3e83195e3be28
586 lines
22 KiB
C++
586 lines
22 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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#include "table/block_based/block_based_table_reader.h"
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#include <memory>
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#include <string>
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#include "cache/cache_reservation_manager.h"
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#include "db/db_test_util.h"
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#include "db/table_properties_collector.h"
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#include "file/file_util.h"
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#include "options/options_helper.h"
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#include "port/port.h"
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#include "port/stack_trace.h"
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#include "rocksdb/compression_type.h"
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#include "rocksdb/db.h"
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#include "rocksdb/file_system.h"
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#include "table/block_based/block_based_table_builder.h"
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#include "table/block_based/block_based_table_factory.h"
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#include "table/block_based/partitioned_index_iterator.h"
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#include "table/format.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/random.h"
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namespace ROCKSDB_NAMESPACE {
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class BlockBasedTableReaderBaseTest : public testing::Test {
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protected:
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// Prepare key-value pairs to occupy multiple blocks.
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// Each value is 256B, every 16 pairs constitute 1 block.
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// If mixed_with_human_readable_string_value == true,
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// then adjacent blocks contain values with different compression
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// complexity: human readable strings are easier to compress than random
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// strings.
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static std::map<std::string, std::string> GenerateKVMap(
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int num_block = 100,
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bool mixed_with_human_readable_string_value = false) {
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std::map<std::string, std::string> kv;
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Random rnd(101);
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uint32_t key = 0;
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for (int block = 0; block < num_block; block++) {
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for (int i = 0; i < 16; i++) {
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char k[9] = {0};
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// Internal key is constructed directly from this key,
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// and internal key size is required to be >= 8 bytes,
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// so use %08u as the format string.
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sprintf(k, "%08u", key);
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std::string v;
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if (mixed_with_human_readable_string_value) {
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v = (block % 2) ? rnd.HumanReadableString(256)
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: rnd.RandomString(256);
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} else {
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v = rnd.RandomString(256);
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}
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kv[std::string(k)] = v;
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key++;
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}
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}
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return kv;
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}
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void SetUp() override {
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SetupSyncPointsToMockDirectIO();
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test_dir_ = test::PerThreadDBPath("block_based_table_reader_test");
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env_ = Env::Default();
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fs_ = FileSystem::Default();
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ASSERT_OK(fs_->CreateDir(test_dir_, IOOptions(), nullptr));
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ConfigureTableFactory();
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}
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virtual void ConfigureTableFactory() = 0;
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void TearDown() override { EXPECT_OK(DestroyDir(env_, test_dir_)); }
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// Creates a table with the specificied key value pairs (kv).
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void CreateTable(const std::string& table_name,
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const CompressionType& compression_type,
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const std::map<std::string, std::string>& kv) {
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std::unique_ptr<WritableFileWriter> writer;
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NewFileWriter(table_name, &writer);
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// Create table builder.
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ImmutableOptions ioptions(options_);
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InternalKeyComparator comparator(options_.comparator);
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ColumnFamilyOptions cf_options;
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MutableCFOptions moptions(cf_options);
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IntTblPropCollectorFactories factories;
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std::unique_ptr<TableBuilder> table_builder(
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options_.table_factory->NewTableBuilder(
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TableBuilderOptions(ioptions, moptions, comparator, &factories,
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compression_type, CompressionOptions(),
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0 /* column_family_id */,
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kDefaultColumnFamilyName, -1 /* level */),
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writer.get()));
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// Build table.
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for (auto it = kv.begin(); it != kv.end(); it++) {
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std::string k = ToInternalKey(it->first);
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std::string v = it->second;
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table_builder->Add(k, v);
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}
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ASSERT_OK(table_builder->Finish());
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}
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void NewBlockBasedTableReader(const FileOptions& foptions,
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const ImmutableOptions& ioptions,
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const InternalKeyComparator& comparator,
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const std::string& table_name,
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std::unique_ptr<BlockBasedTable>* table,
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bool prefetch_index_and_filter_in_cache = true,
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Status* status = nullptr) {
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const MutableCFOptions moptions(options_);
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TableReaderOptions table_reader_options = TableReaderOptions(
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ioptions, moptions.prefix_extractor, EnvOptions(), comparator);
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std::unique_ptr<RandomAccessFileReader> file;
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NewFileReader(table_name, foptions, &file);
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uint64_t file_size = 0;
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ASSERT_OK(env_->GetFileSize(Path(table_name), &file_size));
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std::unique_ptr<TableReader> general_table;
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Status s = options_.table_factory->NewTableReader(
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ReadOptions(), table_reader_options, std::move(file), file_size,
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&general_table, prefetch_index_and_filter_in_cache);
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if (s.ok()) {
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table->reset(reinterpret_cast<BlockBasedTable*>(general_table.release()));
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}
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if (status) {
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*status = s;
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}
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}
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std::string Path(const std::string& fname) { return test_dir_ + "/" + fname; }
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std::string test_dir_;
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Env* env_;
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std::shared_ptr<FileSystem> fs_;
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Options options_;
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private:
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void WriteToFile(const std::string& content, const std::string& filename) {
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std::unique_ptr<FSWritableFile> f;
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ASSERT_OK(fs_->NewWritableFile(Path(filename), FileOptions(), &f, nullptr));
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ASSERT_OK(f->Append(content, IOOptions(), nullptr));
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ASSERT_OK(f->Close(IOOptions(), nullptr));
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}
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void NewFileWriter(const std::string& filename,
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std::unique_ptr<WritableFileWriter>* writer) {
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std::string path = Path(filename);
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EnvOptions env_options;
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FileOptions foptions;
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std::unique_ptr<FSWritableFile> file;
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ASSERT_OK(fs_->NewWritableFile(path, foptions, &file, nullptr));
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writer->reset(new WritableFileWriter(std::move(file), path, env_options));
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}
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void NewFileReader(const std::string& filename, const FileOptions& opt,
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std::unique_ptr<RandomAccessFileReader>* reader) {
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std::string path = Path(filename);
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std::unique_ptr<FSRandomAccessFile> f;
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ASSERT_OK(fs_->NewRandomAccessFile(path, opt, &f, nullptr));
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reader->reset(new RandomAccessFileReader(std::move(f), path,
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env_->GetSystemClock().get()));
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}
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std::string ToInternalKey(const std::string& key) {
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InternalKey internal_key(key, 0, ValueType::kTypeValue);
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return internal_key.Encode().ToString();
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}
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};
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class BlockBasedTableReaderTest
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: public BlockBasedTableReaderBaseTest,
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public testing::WithParamInterface<std::tuple<
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CompressionType, bool, BlockBasedTableOptions::IndexType, bool>> {
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protected:
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void SetUp() override {
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compression_type_ = std::get<0>(GetParam());
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use_direct_reads_ = std::get<1>(GetParam());
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BlockBasedTableReaderBaseTest::SetUp();
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}
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void ConfigureTableFactory() override {
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BlockBasedTableOptions opts;
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opts.index_type = std::get<2>(GetParam());
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opts.no_block_cache = std::get<3>(GetParam());
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options_.table_factory.reset(
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static_cast<BlockBasedTableFactory*>(NewBlockBasedTableFactory(opts)));
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}
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CompressionType compression_type_;
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bool use_direct_reads_;
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};
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// Tests MultiGet in both direct IO and non-direct IO mode.
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// The keys should be in cache after MultiGet.
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TEST_P(BlockBasedTableReaderTest, MultiGet) {
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std::map<std::string, std::string> kv =
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BlockBasedTableReaderBaseTest::GenerateKVMap(
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100 /* num_block */,
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true /* mixed_with_human_readable_string_value */);
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// Prepare keys, values, and statuses for MultiGet.
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autovector<Slice, MultiGetContext::MAX_BATCH_SIZE> keys;
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autovector<PinnableSlice, MultiGetContext::MAX_BATCH_SIZE> values;
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autovector<Status, MultiGetContext::MAX_BATCH_SIZE> statuses;
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{
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const int step =
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static_cast<int>(kv.size()) / MultiGetContext::MAX_BATCH_SIZE;
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auto it = kv.begin();
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for (int i = 0; i < MultiGetContext::MAX_BATCH_SIZE; i++) {
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keys.emplace_back(it->first);
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values.emplace_back();
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statuses.emplace_back();
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std::advance(it, step);
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}
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}
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std::string table_name =
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"BlockBasedTableReaderTest" + CompressionTypeToString(compression_type_);
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CreateTable(table_name, compression_type_, kv);
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std::unique_ptr<BlockBasedTable> table;
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Options options;
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ImmutableOptions ioptions(options);
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FileOptions foptions;
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foptions.use_direct_reads = use_direct_reads_;
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InternalKeyComparator comparator(options.comparator);
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NewBlockBasedTableReader(foptions, ioptions, comparator, table_name, &table);
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// Ensure that keys are not in cache before MultiGet.
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for (auto& key : keys) {
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ASSERT_FALSE(table->TEST_KeyInCache(ReadOptions(), key));
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}
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// Prepare MultiGetContext.
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autovector<GetContext, MultiGetContext::MAX_BATCH_SIZE> get_context;
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autovector<KeyContext, MultiGetContext::MAX_BATCH_SIZE> key_context;
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autovector<KeyContext*, MultiGetContext::MAX_BATCH_SIZE> sorted_keys;
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for (size_t i = 0; i < keys.size(); ++i) {
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get_context.emplace_back(
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BytewiseComparator(), nullptr, nullptr, nullptr, GetContext::kNotFound,
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keys[i], &values[i], nullptr, nullptr, nullptr, true /* do_merge */,
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nullptr, nullptr, nullptr, nullptr, nullptr, nullptr);
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key_context.emplace_back(nullptr, keys[i], &values[i], nullptr,
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&statuses.back());
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key_context.back().get_context = &get_context.back();
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}
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for (auto& key_ctx : key_context) {
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sorted_keys.emplace_back(&key_ctx);
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}
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MultiGetContext ctx(&sorted_keys, 0, sorted_keys.size(), 0, ReadOptions());
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// Execute MultiGet.
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MultiGetContext::Range range = ctx.GetMultiGetRange();
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PerfContext* perf_ctx = get_perf_context();
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perf_ctx->Reset();
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table->MultiGet(ReadOptions(), &range, nullptr);
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ASSERT_GE(perf_ctx->block_read_count - perf_ctx->index_block_read_count -
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perf_ctx->filter_block_read_count -
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perf_ctx->compression_dict_block_read_count,
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1);
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ASSERT_GE(perf_ctx->block_read_byte, 1);
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for (const Status& status : statuses) {
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ASSERT_OK(status);
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}
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// Check that keys are in cache after MultiGet.
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for (size_t i = 0; i < keys.size(); i++) {
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ASSERT_TRUE(table->TEST_KeyInCache(ReadOptions(), keys[i]));
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ASSERT_EQ(values[i].ToString(), kv[keys[i].ToString()]);
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}
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}
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class BlockBasedTableReaderResOnlyCache : public CacheWrapper {
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public:
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explicit BlockBasedTableReaderResOnlyCache(std::shared_ptr<Cache> target)
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: CacheWrapper(std::move(target)) {}
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using Cache::Insert;
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Status Insert(const Slice& key, void* value, size_t charge,
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void (*deleter)(const Slice& key, void* value),
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Handle** handle = nullptr,
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Priority priority = Priority::LOW) override {
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if (deleter == kNoopDeleterForBlockBasedTableReader) {
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return target_->Insert(key, value, charge, deleter, handle, priority);
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} else {
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return Status::OK();
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}
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}
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using Cache::Release;
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bool Release(Handle* handle, bool force_erase = false) override {
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auto deleter = GetDeleter(handle);
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if (deleter == kNoopDeleterForBlockBasedTableReader) {
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return target_->Release(handle, force_erase);
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} else {
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return true;
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}
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}
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private:
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static const Cache::DeleterFn kNoopDeleterForBlockBasedTableReader;
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};
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const Cache::DeleterFn
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BlockBasedTableReaderResOnlyCache::kNoopDeleterForBlockBasedTableReader =
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CacheReservationManagerImpl<CacheEntryRole::kBlockBasedTableReader>::
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TEST_GetNoopDeleterForRole();
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class BlockBasedTableReaderCapMemoryTest
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: public BlockBasedTableReaderBaseTest,
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public testing::WithParamInterface<
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bool /* reserve_table_builder_memory */> {
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protected:
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static std::size_t CalculateMaxTableReaderNumBeforeCacheFull(
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std::size_t cache_capacity, std::size_t approx_table_reader_mem) {
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// To make calculation easier for testing
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assert(cache_capacity % CacheReservationManagerImpl<
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CacheEntryRole::kBlockBasedTableReader>::
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GetDummyEntrySize() ==
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0 &&
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cache_capacity > 2 * CacheReservationManagerImpl<
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CacheEntryRole::kBlockBasedTableReader>::
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GetDummyEntrySize());
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// We need to subtract 1 for max_num_dummy_entry to account for dummy
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// entries' overhead, assumed the overhead is no greater than 1 dummy entry
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// size
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std::size_t max_num_dummy_entry =
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(size_t)std::floor((
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1.0 * cache_capacity /
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CacheReservationManagerImpl<
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CacheEntryRole::kBlockBasedTableReader>::GetDummyEntrySize())) -
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1;
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std::size_t cache_capacity_rounded_to_dummy_entry_multiples =
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max_num_dummy_entry *
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CacheReservationManagerImpl<
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CacheEntryRole::kBlockBasedTableReader>::GetDummyEntrySize();
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std::size_t max_table_reader_num = static_cast<std::size_t>(
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std::floor(1.0 * cache_capacity_rounded_to_dummy_entry_multiples /
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approx_table_reader_mem));
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return max_table_reader_num;
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}
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void SetUp() override {
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// To cache and re-use the same kv map and compression type in the test
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// suite for elimiating variance caused by these two factors
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kv_ = BlockBasedTableReaderBaseTest::GenerateKVMap();
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compression_type_ = CompressionType::kNoCompression;
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table_reader_res_only_cache_.reset(new BlockBasedTableReaderResOnlyCache(
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NewLRUCache(6 * CacheReservationManagerImpl<
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CacheEntryRole::kBlockBasedTableReader>::
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GetDummyEntrySize(),
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0 /* num_shard_bits */, true /* strict_capacity_limit */)));
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// To ApproximateTableReaderMem() without encountering any potential errors
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// caused by BlocBasedTableReader::reserve_table_reader_memory == true, we
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// first turn off the feature to test
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reserve_table_reader_memory_ = false;
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BlockBasedTableReaderBaseTest::SetUp();
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approx_table_reader_mem_ = ApproximateTableReaderMem();
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// Now we condtionally turn on the feature to test
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reserve_table_reader_memory_ = GetParam();
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ConfigureTableFactory();
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}
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void ConfigureTableFactory() override {
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BlockBasedTableOptions table_options;
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table_options.reserve_table_reader_memory = reserve_table_reader_memory_;
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table_options.block_cache = table_reader_res_only_cache_;
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table_options.cache_index_and_filter_blocks = false;
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table_options.filter_policy.reset(NewBloomFilterPolicy(10, false));
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table_options.partition_filters = true;
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table_options.index_type = BlockBasedTableOptions::kTwoLevelIndexSearch;
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options_.table_factory.reset(NewBlockBasedTableFactory(table_options));
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}
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bool reserve_table_reader_memory_;
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std::shared_ptr<BlockBasedTableReaderResOnlyCache>
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table_reader_res_only_cache_;
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std::size_t approx_table_reader_mem_;
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std::map<std::string, std::string> kv_;
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CompressionType compression_type_;
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private:
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std::size_t ApproximateTableReaderMem() {
|
|
std::size_t approx_table_reader_mem = 0;
|
|
|
|
std::string table_name = "table_for_approx_table_reader_mem";
|
|
CreateTable(table_name, compression_type_, kv_);
|
|
|
|
std::unique_ptr<BlockBasedTable> table;
|
|
Status s;
|
|
NewBlockBasedTableReader(
|
|
FileOptions(), ImmutableOptions(options_),
|
|
InternalKeyComparator(options_.comparator), table_name, &table,
|
|
false /* prefetch_index_and_filter_in_cache */, &s);
|
|
assert(s.ok());
|
|
|
|
approx_table_reader_mem = table->ApproximateMemoryUsage();
|
|
assert(approx_table_reader_mem > 0);
|
|
return approx_table_reader_mem;
|
|
}
|
|
};
|
|
|
|
INSTANTIATE_TEST_CASE_P(CapMemoryUsageUnderCacheCapacity,
|
|
BlockBasedTableReaderCapMemoryTest, ::testing::Bool());
|
|
|
|
TEST_P(BlockBasedTableReaderCapMemoryTest, CapMemoryUsageUnderCacheCapacity) {
|
|
const std::size_t max_table_reader_num = BlockBasedTableReaderCapMemoryTest::
|
|
CalculateMaxTableReaderNumBeforeCacheFull(
|
|
table_reader_res_only_cache_->GetCapacity(),
|
|
approx_table_reader_mem_);
|
|
|
|
Status s = Status::OK();
|
|
std::size_t opened_table_reader_num = 0;
|
|
std::string table_name;
|
|
std::vector<std::unique_ptr<BlockBasedTable>> tables;
|
|
|
|
// Keep creating BlockBasedTableReader till hiting the memory limit based on
|
|
// cache capacity and creation fails or reaching a big number of table readers
|
|
while (s.ok() && opened_table_reader_num < 2 * max_table_reader_num) {
|
|
table_name = "table_" + std::to_string(opened_table_reader_num);
|
|
CreateTable(table_name, compression_type_, kv_);
|
|
tables.push_back(std::unique_ptr<BlockBasedTable>());
|
|
NewBlockBasedTableReader(
|
|
FileOptions(), ImmutableOptions(options_),
|
|
InternalKeyComparator(options_.comparator), table_name, &tables.back(),
|
|
false /* prefetch_index_and_filter_in_cache */, &s);
|
|
if (s.ok()) {
|
|
++opened_table_reader_num;
|
|
}
|
|
}
|
|
|
|
if (reserve_table_reader_memory_) {
|
|
EXPECT_TRUE(s.IsMemoryLimit() &&
|
|
opened_table_reader_num < 2 * max_table_reader_num)
|
|
<< "s: " << s.ToString() << " opened_table_reader_num: "
|
|
<< std::to_string(opened_table_reader_num);
|
|
EXPECT_TRUE(s.ToString().find("memory limit based on cache capacity") !=
|
|
std::string::npos);
|
|
|
|
// Acceptable estimtation errors coming from
|
|
// 1. overstimate max_table_reader_num due to # dummy entries is high and
|
|
// results in metadata charge overhead greater than 1 dummy entry size
|
|
// (violating our assumption in calculating max_table_reader_nums)
|
|
// 2. overestimate/underestimate max_table_reader_num due to the gap between
|
|
// ApproximateTableReaderMem() and actual table reader mem
|
|
EXPECT_GE(opened_table_reader_num, max_table_reader_num * 0.99);
|
|
EXPECT_LE(opened_table_reader_num, max_table_reader_num * 1.01);
|
|
|
|
std::size_t updated_max_table_reader_num =
|
|
BlockBasedTableReaderCapMemoryTest::
|
|
CalculateMaxTableReaderNumBeforeCacheFull(
|
|
table_reader_res_only_cache_->GetCapacity() / 2,
|
|
approx_table_reader_mem_);
|
|
|
|
// Keep deleting BlockBasedTableReader to lower down memory usage from the
|
|
// memory limit to make the next creation succeeds
|
|
while (opened_table_reader_num >= updated_max_table_reader_num) {
|
|
tables.pop_back();
|
|
--opened_table_reader_num;
|
|
}
|
|
table_name = "table_for_successful_table_reader_open";
|
|
CreateTable(table_name, compression_type_, kv_);
|
|
tables.push_back(std::unique_ptr<BlockBasedTable>());
|
|
NewBlockBasedTableReader(
|
|
FileOptions(), ImmutableOptions(options_),
|
|
InternalKeyComparator(options_.comparator), table_name, &tables.back(),
|
|
false /* prefetch_index_and_filter_in_cache */, &s);
|
|
EXPECT_TRUE(s.ok()) << s.ToString();
|
|
|
|
tables.clear();
|
|
EXPECT_EQ(table_reader_res_only_cache_->GetPinnedUsage(), 0);
|
|
} else {
|
|
EXPECT_TRUE(s.ok() && opened_table_reader_num == 2 * max_table_reader_num)
|
|
<< "s: " << s.ToString() << " opened_table_reader_num: "
|
|
<< std::to_string(opened_table_reader_num);
|
|
EXPECT_EQ(table_reader_res_only_cache_->GetPinnedUsage(), 0);
|
|
}
|
|
}
|
|
|
|
class BlockBasedTableReaderTestVerifyChecksum
|
|
: public BlockBasedTableReaderTest {
|
|
public:
|
|
BlockBasedTableReaderTestVerifyChecksum() : BlockBasedTableReaderTest() {}
|
|
};
|
|
|
|
TEST_P(BlockBasedTableReaderTestVerifyChecksum, ChecksumMismatch) {
|
|
std::map<std::string, std::string> kv =
|
|
BlockBasedTableReaderBaseTest::GenerateKVMap(800 /* num_block */);
|
|
|
|
std::string table_name =
|
|
"BlockBasedTableReaderTest" + CompressionTypeToString(compression_type_);
|
|
CreateTable(table_name, compression_type_, kv);
|
|
|
|
std::unique_ptr<BlockBasedTable> table;
|
|
Options options;
|
|
ImmutableOptions ioptions(options);
|
|
FileOptions foptions;
|
|
foptions.use_direct_reads = use_direct_reads_;
|
|
InternalKeyComparator comparator(options.comparator);
|
|
NewBlockBasedTableReader(foptions, ioptions, comparator, table_name, &table);
|
|
|
|
// Use the top level iterator to find the offset/size of the first
|
|
// 2nd level index block and corrupt the block
|
|
IndexBlockIter iiter_on_stack;
|
|
BlockCacheLookupContext context{TableReaderCaller::kUserVerifyChecksum};
|
|
InternalIteratorBase<IndexValue>* iiter = table->NewIndexIterator(
|
|
ReadOptions(), /*disable_prefix_seek=*/false, &iiter_on_stack,
|
|
/*get_context=*/nullptr, &context);
|
|
std::unique_ptr<InternalIteratorBase<IndexValue>> iiter_unique_ptr;
|
|
if (iiter != &iiter_on_stack) {
|
|
iiter_unique_ptr = std::unique_ptr<InternalIteratorBase<IndexValue>>(iiter);
|
|
}
|
|
ASSERT_OK(iiter->status());
|
|
iiter->SeekToFirst();
|
|
BlockHandle handle = static_cast<PartitionedIndexIterator*>(iiter)
|
|
->index_iter_->value()
|
|
.handle;
|
|
table.reset();
|
|
|
|
// Corrupt the block pointed to by handle
|
|
ASSERT_OK(test::CorruptFile(options.env, Path(table_name),
|
|
static_cast<int>(handle.offset()), 128));
|
|
|
|
NewBlockBasedTableReader(foptions, ioptions, comparator, table_name, &table);
|
|
Status s = table->VerifyChecksum(ReadOptions(),
|
|
TableReaderCaller::kUserVerifyChecksum);
|
|
ASSERT_EQ(s.code(), Status::kCorruption);
|
|
}
|
|
|
|
// Param 1: compression type
|
|
// Param 2: whether to use direct reads
|
|
// Param 3: Block Based Table Index type
|
|
// Param 4: BBTO no_block_cache option
|
|
#ifdef ROCKSDB_LITE
|
|
// Skip direct I/O tests in lite mode since direct I/O is unsupported.
|
|
INSTANTIATE_TEST_CASE_P(
|
|
MultiGet, BlockBasedTableReaderTest,
|
|
::testing::Combine(
|
|
::testing::ValuesIn(GetSupportedCompressions()),
|
|
::testing::Values(false),
|
|
::testing::Values(BlockBasedTableOptions::IndexType::kBinarySearch),
|
|
::testing::Values(false)));
|
|
#else // ROCKSDB_LITE
|
|
INSTANTIATE_TEST_CASE_P(
|
|
MultiGet, BlockBasedTableReaderTest,
|
|
::testing::Combine(
|
|
::testing::ValuesIn(GetSupportedCompressions()), ::testing::Bool(),
|
|
::testing::Values(BlockBasedTableOptions::IndexType::kBinarySearch),
|
|
::testing::Values(false)));
|
|
#endif // ROCKSDB_LITE
|
|
INSTANTIATE_TEST_CASE_P(
|
|
VerifyChecksum, BlockBasedTableReaderTestVerifyChecksum,
|
|
::testing::Combine(
|
|
::testing::ValuesIn(GetSupportedCompressions()),
|
|
::testing::Values(false),
|
|
::testing::Values(
|
|
BlockBasedTableOptions::IndexType::kTwoLevelIndexSearch),
|
|
::testing::Values(true)));
|
|
|
|
} // namespace ROCKSDB_NAMESPACE
|
|
|
|
int main(int argc, char** argv) {
|
|
ROCKSDB_NAMESPACE::port::InstallStackTraceHandler();
|
|
::testing::InitGoogleTest(&argc, argv);
|
|
return RUN_ALL_TESTS();
|
|
}
|