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// 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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//
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// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file. See the AUTHORS file for names of contributors.
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#include "table/block_based/block_based_table_factory.h"
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#include <stdint.h>
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#include <cinttypes>
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#include <memory>
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#include <string>
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#include "options/configurable_helper.h"
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#include "port/port.h"
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#include "rocksdb/cache.h"
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#include "rocksdb/convenience.h"
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#include "rocksdb/flush_block_policy.h"
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#include "rocksdb/utilities/options_type.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_reader.h"
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#include "table/format.h"
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#include "util/mutexlock.h"
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#include "util/string_util.h"
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namespace ROCKSDB_NAMESPACE {
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void TailPrefetchStats::RecordEffectiveSize(size_t len) {
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MutexLock l(&mutex_);
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if (num_records_ < kNumTracked) {
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num_records_++;
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}
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records_[next_++] = len;
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if (next_ == kNumTracked) {
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next_ = 0;
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}
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}
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size_t TailPrefetchStats::GetSuggestedPrefetchSize() {
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std::vector<size_t> sorted;
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{
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MutexLock l(&mutex_);
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if (num_records_ == 0) {
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return 0;
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}
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sorted.assign(records_, records_ + num_records_);
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}
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// Of the historic size, we find the maximum one that satisifis the condtiion
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// that if prefetching all, less than 1/8 will be wasted.
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std::sort(sorted.begin(), sorted.end());
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// Assuming we have 5 data points, and after sorting it looks like this:
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//
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// +---+
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// +---+ | |
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// | | | |
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// | | | |
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// | | | |
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// | | | |
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// +---+ | | | |
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// | | | | | |
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// +---+ | | | | | |
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// | | | | | | | |
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// +---+ | | | | | | | |
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// | | | | | | | | | |
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// | | | | | | | | | |
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// | | | | | | | | | |
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// | | | | | | | | | |
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// | | | | | | | | | |
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// +---+ +---+ +---+ +---+ +---+
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//
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// and we use every of the value as a candidate, and estimate how much we
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// wasted, compared to read. For example, when we use the 3rd record
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// as candiate. This area is what we read:
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// +---+
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// +---+ | |
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// | | | |
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// | | | |
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// | | | |
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// | | | |
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// *** *** *** ***+ *** *** *** *** **
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// * | | | | | |
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// +---+ | | | | | *
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// * | | | | | | | |
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// +---+ | | | | | | | *
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// * | | | | X | | | | |
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// | | | | | | | | | *
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// * | | | | | | | | |
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// | | | | | | | | | *
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// * | | | | | | | | |
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// *** *** ***-*** ***--*** ***--*** +****
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// which is (size of the record) X (number of records).
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//
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// While wasted is this area:
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// +---+
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// +---+ | |
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// | | | |
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// | | | |
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// | | | |
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// | | | |
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// *** *** *** ****---+ | | | |
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// * * | | | | |
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// * *-*** *** | | | | |
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// * * | | | | | | |
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// *--** *** | | | | | | |
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// | | | | | X | | | | |
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// | | | | | | | | | |
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// | | | | | | | | | |
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// | | | | | | | | | |
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// | | | | | | | | | |
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// +---+ +---+ +---+ +---+ +---+
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//
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// Which can be calculated iteratively.
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// The difference between wasted using 4st and 3rd record, will
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// be following area:
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// +---+
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// +--+ +-+ ++ +-+ +-+ +---+ | |
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// + xxxxxxxxxxxxxxxxxxxxxxxx | | | |
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// xxxxxxxxxxxxxxxxxxxxxxxx | | | |
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// + xxxxxxxxxxxxxxxxxxxxxxxx | | | |
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// | xxxxxxxxxxxxxxxxxxxxxxxx | | | |
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// +-+ +-+ +-+ ++ +---+ +--+ | | |
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// | | | | | | |
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// +---+ ++ | | | | | |
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// | | | | | | X | | |
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// +---+ ++ | | | | | | | |
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// | | | | | | | | | |
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// | | | | | | | | | |
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// | | | | | | | | | |
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// | | | | | | | | | |
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// | | | | | | | | | |
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// +---+ +---+ +---+ +---+ +---+
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//
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// which will be the size difference between 4st and 3rd record,
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// times 3, which is number of records before the 4st.
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// Here we assume that all data within the prefetch range will be useful. In
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// reality, it may not be the case when a partial block is inside the range,
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// or there are data in the middle that is not read. We ignore those cases
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// for simplicity.
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assert(!sorted.empty());
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size_t prev_size = sorted[0];
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size_t max_qualified_size = sorted[0];
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size_t wasted = 0;
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for (size_t i = 1; i < sorted.size(); i++) {
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size_t read = sorted[i] * sorted.size();
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wasted += (sorted[i] - prev_size) * i;
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if (wasted <= read / 8) {
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max_qualified_size = sorted[i];
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}
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prev_size = sorted[i];
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}
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const size_t kMaxPrefetchSize = 512 * 1024; // Never exceed 512KB
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return std::min(kMaxPrefetchSize, max_qualified_size);
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}
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#ifndef ROCKSDB_LITE
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const std::string kOptNameMetadataCacheOpts = "metadata_cache_options";
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static std::unordered_map<std::string, PinningTier>
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pinning_tier_type_string_map = {
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{"kFallback", PinningTier::kFallback},
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{"kNone", PinningTier::kNone},
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{"kFlushedAndSimilar", PinningTier::kFlushedAndSimilar},
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{"kAll", PinningTier::kAll}};
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static std::unordered_map<std::string, BlockBasedTableOptions::IndexType>
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block_base_table_index_type_string_map = {
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{"kBinarySearch", BlockBasedTableOptions::IndexType::kBinarySearch},
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{"kHashSearch", BlockBasedTableOptions::IndexType::kHashSearch},
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{"kTwoLevelIndexSearch",
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BlockBasedTableOptions::IndexType::kTwoLevelIndexSearch},
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{"kBinarySearchWithFirstKey",
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BlockBasedTableOptions::IndexType::kBinarySearchWithFirstKey}};
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static std::unordered_map<std::string,
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BlockBasedTableOptions::DataBlockIndexType>
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block_base_table_data_block_index_type_string_map = {
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{"kDataBlockBinarySearch",
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BlockBasedTableOptions::DataBlockIndexType::kDataBlockBinarySearch},
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{"kDataBlockBinaryAndHash",
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BlockBasedTableOptions::DataBlockIndexType::kDataBlockBinaryAndHash}};
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static std::unordered_map<std::string,
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BlockBasedTableOptions::IndexShorteningMode>
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block_base_table_index_shortening_mode_string_map = {
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{"kNoShortening",
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BlockBasedTableOptions::IndexShorteningMode::kNoShortening},
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{"kShortenSeparators",
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BlockBasedTableOptions::IndexShorteningMode::kShortenSeparators},
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{"kShortenSeparatorsAndSuccessor",
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BlockBasedTableOptions::IndexShorteningMode::
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kShortenSeparatorsAndSuccessor}};
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static std::unordered_map<std::string, OptionTypeInfo>
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metadata_cache_options_type_info = {
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{"top_level_index_pinning",
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OptionTypeInfo::Enum<PinningTier>(
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offsetof(struct MetadataCacheOptions, top_level_index_pinning),
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&pinning_tier_type_string_map)},
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{"partition_pinning",
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OptionTypeInfo::Enum<PinningTier>(
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offsetof(struct MetadataCacheOptions, partition_pinning),
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&pinning_tier_type_string_map)},
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{"unpartitioned_pinning",
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OptionTypeInfo::Enum<PinningTier>(
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offsetof(struct MetadataCacheOptions, unpartitioned_pinning),
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&pinning_tier_type_string_map)}};
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#endif // ROCKSDB_LITE
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static std::unordered_map<std::string, OptionTypeInfo>
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block_based_table_type_info = {
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#ifndef ROCKSDB_LITE
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/* currently not supported
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std::shared_ptr<Cache> block_cache = nullptr;
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std::shared_ptr<Cache> block_cache_compressed = nullptr;
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*/
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{"flush_block_policy_factory",
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{offsetof(struct BlockBasedTableOptions, flush_block_policy_factory),
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OptionType::kFlushBlockPolicyFactory, OptionVerificationType::kByName,
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OptionTypeFlags::kCompareNever}},
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{"cache_index_and_filter_blocks",
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{offsetof(struct BlockBasedTableOptions,
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cache_index_and_filter_blocks),
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OptionType::kBoolean, OptionVerificationType::kNormal,
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OptionTypeFlags::kNone}},
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{"cache_index_and_filter_blocks_with_high_priority",
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{offsetof(struct BlockBasedTableOptions,
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cache_index_and_filter_blocks_with_high_priority),
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OptionType::kBoolean, OptionVerificationType::kNormal,
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OptionTypeFlags::kNone}},
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{"pin_l0_filter_and_index_blocks_in_cache",
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{offsetof(struct BlockBasedTableOptions,
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pin_l0_filter_and_index_blocks_in_cache),
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OptionType::kBoolean, OptionVerificationType::kNormal,
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OptionTypeFlags::kNone}},
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{"index_type", OptionTypeInfo::Enum<BlockBasedTableOptions::IndexType>(
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offsetof(struct BlockBasedTableOptions, index_type),
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&block_base_table_index_type_string_map)},
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{"hash_index_allow_collision",
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{offsetof(struct BlockBasedTableOptions, hash_index_allow_collision),
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OptionType::kBoolean, OptionVerificationType::kNormal,
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OptionTypeFlags::kNone}},
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{"data_block_index_type",
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OptionTypeInfo::Enum<BlockBasedTableOptions::DataBlockIndexType>(
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offsetof(struct BlockBasedTableOptions, data_block_index_type),
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&block_base_table_data_block_index_type_string_map)},
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{"index_shortening",
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OptionTypeInfo::Enum<BlockBasedTableOptions::IndexShorteningMode>(
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offsetof(struct BlockBasedTableOptions, index_shortening),
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&block_base_table_index_shortening_mode_string_map)},
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{"data_block_hash_table_util_ratio",
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{offsetof(struct BlockBasedTableOptions,
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data_block_hash_table_util_ratio),
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OptionType::kDouble, OptionVerificationType::kNormal,
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OptionTypeFlags::kNone}},
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{"checksum",
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{offsetof(struct BlockBasedTableOptions, checksum),
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OptionType::kChecksumType, OptionVerificationType::kNormal,
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OptionTypeFlags::kNone}},
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{"no_block_cache",
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{offsetof(struct BlockBasedTableOptions, no_block_cache),
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OptionType::kBoolean, OptionVerificationType::kNormal,
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OptionTypeFlags::kNone}},
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{"block_size",
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{offsetof(struct BlockBasedTableOptions, block_size),
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OptionType::kSizeT, OptionVerificationType::kNormal,
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OptionTypeFlags::kMutable}},
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{"block_size_deviation",
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{offsetof(struct BlockBasedTableOptions, block_size_deviation),
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OptionType::kInt, OptionVerificationType::kNormal,
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OptionTypeFlags::kNone}},
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{"block_restart_interval",
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{offsetof(struct BlockBasedTableOptions, block_restart_interval),
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OptionType::kInt, OptionVerificationType::kNormal,
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OptionTypeFlags::kMutable}},
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{"index_block_restart_interval",
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{offsetof(struct BlockBasedTableOptions, index_block_restart_interval),
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OptionType::kInt, OptionVerificationType::kNormal,
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OptionTypeFlags::kNone}},
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{"index_per_partition",
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{0, OptionType::kUInt64T, OptionVerificationType::kDeprecated,
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OptionTypeFlags::kNone}},
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{"metadata_block_size",
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{offsetof(struct BlockBasedTableOptions, metadata_block_size),
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OptionType::kUInt64T, OptionVerificationType::kNormal,
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OptionTypeFlags::kNone}},
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{"partition_filters",
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{offsetof(struct BlockBasedTableOptions, partition_filters),
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OptionType::kBoolean, OptionVerificationType::kNormal,
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OptionTypeFlags::kNone}},
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Minimize memory internal fragmentation for Bloom filters (#6427)
Summary:
New experimental option BBTO::optimize_filters_for_memory builds
filters that maximize their use of "usable size" from malloc_usable_size,
which is also used to compute block cache charges.
Rather than always "rounding up," we track state in the
BloomFilterPolicy object to mix essentially "rounding down" and
"rounding up" so that the average FP rate of all generated filters is
the same as without the option. (YMMV as heavily accessed filters might
be unluckily lower accuracy.)
Thus, the option near-minimizes what the block cache considers as
"memory used" for a given target Bloom filter false positive rate and
Bloom filter implementation. There are no forward or backward
compatibility issues with this change, though it only works on the
format_version=5 Bloom filter.
With Jemalloc, we see about 10% reduction in memory footprint (and block
cache charge) for Bloom filters, but 1-2% increase in storage footprint,
due to encoding efficiency losses (FP rate is non-linear with bits/key).
Why not weighted random round up/down rather than state tracking? By
only requiring malloc_usable_size, we don't actually know what the next
larger and next smaller usable sizes for the allocator are. We pick a
requested size, accept and use whatever usable size it has, and use the
difference to inform our next choice. This allows us to narrow in on the
right balance without tracking/predicting usable sizes.
Why not weight history of generated filter false positive rates by
number of keys? This could lead to excess skew in small filters after
generating a large filter.
Results from filter_bench with jemalloc (irrelevant details omitted):
(normal keys/filter, but high variance)
$ ./filter_bench -quick -impl=2 -average_keys_per_filter=30000 -vary_key_count_ratio=0.9
Build avg ns/key: 29.6278
Number of filters: 5516
Total size (MB): 200.046
Reported total allocated memory (MB): 220.597
Reported internal fragmentation: 10.2732%
Bits/key stored: 10.0097
Average FP rate %: 0.965228
$ ./filter_bench -quick -impl=2 -average_keys_per_filter=30000 -vary_key_count_ratio=0.9 -optimize_filters_for_memory
Build avg ns/key: 30.5104
Number of filters: 5464
Total size (MB): 200.015
Reported total allocated memory (MB): 200.322
Reported internal fragmentation: 0.153709%
Bits/key stored: 10.1011
Average FP rate %: 0.966313
(very few keys / filter, optimization not as effective due to ~59 byte
internal fragmentation in blocked Bloom filter representation)
$ ./filter_bench -quick -impl=2 -average_keys_per_filter=1000 -vary_key_count_ratio=0.9
Build avg ns/key: 29.5649
Number of filters: 162950
Total size (MB): 200.001
Reported total allocated memory (MB): 224.624
Reported internal fragmentation: 12.3117%
Bits/key stored: 10.2951
Average FP rate %: 0.821534
$ ./filter_bench -quick -impl=2 -average_keys_per_filter=1000 -vary_key_count_ratio=0.9 -optimize_filters_for_memory
Build avg ns/key: 31.8057
Number of filters: 159849
Total size (MB): 200
Reported total allocated memory (MB): 208.846
Reported internal fragmentation: 4.42297%
Bits/key stored: 10.4948
Average FP rate %: 0.811006
(high keys/filter)
$ ./filter_bench -quick -impl=2 -average_keys_per_filter=1000000 -vary_key_count_ratio=0.9
Build avg ns/key: 29.7017
Number of filters: 164
Total size (MB): 200.352
Reported total allocated memory (MB): 221.5
Reported internal fragmentation: 10.5552%
Bits/key stored: 10.0003
Average FP rate %: 0.969358
$ ./filter_bench -quick -impl=2 -average_keys_per_filter=1000000 -vary_key_count_ratio=0.9 -optimize_filters_for_memory
Build avg ns/key: 30.7131
Number of filters: 160
Total size (MB): 200.928
Reported total allocated memory (MB): 200.938
Reported internal fragmentation: 0.00448054%
Bits/key stored: 10.1852
Average FP rate %: 0.963387
And from db_bench (block cache) with jemalloc:
$ ./db_bench -db=/dev/shm/dbbench.no_optimize -benchmarks=fillrandom -format_version=5 -value_size=90 -bloom_bits=10 -num=2000000 -threads=8 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=false
$ ./db_bench -db=/dev/shm/dbbench -benchmarks=fillrandom -format_version=5 -value_size=90 -bloom_bits=10 -num=2000000 -threads=8 -optimize_filters_for_memory -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=false
$ (for FILE in /dev/shm/dbbench.no_optimize/*.sst; do ./sst_dump --file=$FILE --show_properties | grep 'filter block' ; done) | awk '{ t += $4; } END { print t; }'
17063835
$ (for FILE in /dev/shm/dbbench/*.sst; do ./sst_dump --file=$FILE --show_properties | grep 'filter block' ; done) | awk '{ t += $4; } END { print t; }'
17430747
$ #^ 2.1% additional filter storage
$ ./db_bench -db=/dev/shm/dbbench.no_optimize -use_existing_db -benchmarks=readrandom,stats -statistics -bloom_bits=10 -num=2000000 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=false -duration=10 -cache_index_and_filter_blocks -cache_size=1000000000
rocksdb.block.cache.index.add COUNT : 33
rocksdb.block.cache.index.bytes.insert COUNT : 8440400
rocksdb.block.cache.filter.add COUNT : 33
rocksdb.block.cache.filter.bytes.insert COUNT : 21087528
rocksdb.bloom.filter.useful COUNT : 4963889
rocksdb.bloom.filter.full.positive COUNT : 1214081
rocksdb.bloom.filter.full.true.positive COUNT : 1161999
$ #^ 1.04 % observed FP rate
$ ./db_bench -db=/dev/shm/dbbench -use_existing_db -benchmarks=readrandom,stats -statistics -bloom_bits=10 -num=2000000 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=false -optimize_filters_for_memory -duration=10 -cache_index_and_filter_blocks -cache_size=1000000000
rocksdb.block.cache.index.add COUNT : 33
rocksdb.block.cache.index.bytes.insert COUNT : 8448592
rocksdb.block.cache.filter.add COUNT : 33
rocksdb.block.cache.filter.bytes.insert COUNT : 18220328
rocksdb.bloom.filter.useful COUNT : 5360933
rocksdb.bloom.filter.full.positive COUNT : 1321315
rocksdb.bloom.filter.full.true.positive COUNT : 1262999
$ #^ 1.08 % observed FP rate, 13.6% less memory usage for filters
(Due to specific key density, this example tends to generate filters that are "worse than average" for internal fragmentation. "Better than average" cases can show little or no improvement.)
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6427
Test Plan: unit test added, 'make check' with gcc, clang and valgrind
Reviewed By: siying
Differential Revision: D22124374
Pulled By: pdillinger
fbshipit-source-id: f3e3aa152f9043ddf4fae25799e76341d0d8714e
5 years ago
|
|
|
{"optimize_filters_for_memory",
|
|
|
|
{offsetof(struct BlockBasedTableOptions, optimize_filters_for_memory),
|
|
|
|
OptionType::kBoolean, OptionVerificationType::kNormal,
|
|
|
|
OptionTypeFlags::kNone}},
|
|
|
|
{"filter_policy",
|
|
|
|
{offsetof(struct BlockBasedTableOptions, filter_policy),
|
|
|
|
OptionType::kUnknown, OptionVerificationType::kByNameAllowFromNull,
|
|
|
|
OptionTypeFlags::kNone,
|
|
|
|
// Parses the Filter policy
|
|
|
|
[](const ConfigOptions& opts, const std::string&,
|
|
|
|
const std::string& value, char* addr) {
|
|
|
|
auto* policy =
|
|
|
|
reinterpret_cast<std::shared_ptr<const FilterPolicy>*>(addr);
|
|
|
|
return FilterPolicy::CreateFromString(opts, value, policy);
|
|
|
|
},
|
|
|
|
// Converts the FilterPolicy to its string representation
|
|
|
|
[](const ConfigOptions&, const std::string&, const char* addr,
|
|
|
|
std::string* value) {
|
|
|
|
const auto* policy =
|
|
|
|
reinterpret_cast<const std::shared_ptr<const FilterPolicy>*>(
|
|
|
|
addr);
|
|
|
|
if (policy->get()) {
|
|
|
|
*value = (*policy)->Name();
|
|
|
|
} else {
|
|
|
|
*value = kNullptrString;
|
|
|
|
}
|
|
|
|
return Status::OK();
|
|
|
|
},
|
|
|
|
// Compares two FilterPolicy objects for equality
|
|
|
|
[](const ConfigOptions&, const std::string&, const char* addr1,
|
|
|
|
const char* addr2, std::string*) {
|
|
|
|
const auto* policy1 =
|
|
|
|
reinterpret_cast<const std::shared_ptr<const FilterPolicy>*>(
|
|
|
|
addr1)
|
|
|
|
->get();
|
|
|
|
const auto* policy2 =
|
|
|
|
reinterpret_cast<const std::shared_ptr<FilterPolicy>*>(addr2)
|
|
|
|
->get();
|
|
|
|
if (policy1 == policy2) {
|
|
|
|
return true;
|
|
|
|
} else if (policy1 != nullptr && policy2 != nullptr) {
|
|
|
|
return (strcmp(policy1->Name(), policy2->Name()) == 0);
|
|
|
|
} else {
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
}}},
|
|
|
|
{"whole_key_filtering",
|
|
|
|
{offsetof(struct BlockBasedTableOptions, whole_key_filtering),
|
|
|
|
OptionType::kBoolean, OptionVerificationType::kNormal,
|
|
|
|
OptionTypeFlags::kNone}},
|
|
|
|
{"skip_table_builder_flush",
|
|
|
|
{0, OptionType::kBoolean, OptionVerificationType::kDeprecated,
|
|
|
|
OptionTypeFlags::kNone}},
|
|
|
|
{"format_version",
|
|
|
|
{offsetof(struct BlockBasedTableOptions, format_version),
|
|
|
|
OptionType::kUInt32T, OptionVerificationType::kNormal,
|
|
|
|
OptionTypeFlags::kNone}},
|
|
|
|
{"verify_compression",
|
|
|
|
{offsetof(struct BlockBasedTableOptions, verify_compression),
|
|
|
|
OptionType::kBoolean, OptionVerificationType::kNormal,
|
|
|
|
OptionTypeFlags::kNone}},
|
|
|
|
{"read_amp_bytes_per_bit",
|
|
|
|
{offsetof(struct BlockBasedTableOptions, read_amp_bytes_per_bit),
|
|
|
|
OptionType::kUInt32T, OptionVerificationType::kNormal,
|
|
|
|
OptionTypeFlags::kNone,
|
|
|
|
[](const ConfigOptions& /*opts*/, const std::string& /*name*/,
|
|
|
|
const std::string& value, char* addr) {
|
|
|
|
// A workaround to fix a bug in 6.10, 6.11, 6.12, 6.13
|
|
|
|
// and 6.14. The bug will write out 8 bytes to OPTIONS file from the
|
|
|
|
// starting address of BlockBasedTableOptions.read_amp_bytes_per_bit
|
|
|
|
// which is actually a uint32. Consequently, the value of
|
|
|
|
// read_amp_bytes_per_bit written in the OPTIONS file is wrong.
|
|
|
|
// From 6.15, RocksDB will try to parse the read_amp_bytes_per_bit
|
|
|
|
// from OPTIONS file as a uint32. To be able to load OPTIONS file
|
|
|
|
// generated by affected releases before the fix, we need to
|
|
|
|
// manually parse read_amp_bytes_per_bit with this special hack.
|
|
|
|
uint64_t read_amp_bytes_per_bit = ParseUint64(value);
|
|
|
|
*(reinterpret_cast<uint32_t*>(addr)) =
|
|
|
|
static_cast<uint32_t>(read_amp_bytes_per_bit);
|
|
|
|
return Status::OK();
|
|
|
|
}}},
|
|
|
|
{"enable_index_compression",
|
|
|
|
{offsetof(struct BlockBasedTableOptions, enable_index_compression),
|
|
|
|
OptionType::kBoolean, OptionVerificationType::kNormal,
|
|
|
|
OptionTypeFlags::kNone}},
|
|
|
|
{"block_align",
|
|
|
|
{offsetof(struct BlockBasedTableOptions, block_align),
|
|
|
|
OptionType::kBoolean, OptionVerificationType::kNormal,
|
|
|
|
OptionTypeFlags::kNone}},
|
|
|
|
{"pin_top_level_index_and_filter",
|
|
|
|
{offsetof(struct BlockBasedTableOptions,
|
|
|
|
pin_top_level_index_and_filter),
|
|
|
|
OptionType::kBoolean, OptionVerificationType::kNormal,
|
|
|
|
OptionTypeFlags::kNone}},
|
|
|
|
{kOptNameMetadataCacheOpts,
|
|
|
|
OptionTypeInfo::Struct(
|
|
|
|
kOptNameMetadataCacheOpts, &metadata_cache_options_type_info,
|
|
|
|
offsetof(struct BlockBasedTableOptions, metadata_cache_options),
|
|
|
|
OptionVerificationType::kNormal, OptionTypeFlags::kNone)},
|
|
|
|
{"block_cache",
|
|
|
|
{offsetof(struct BlockBasedTableOptions, block_cache),
|
|
|
|
OptionType::kUnknown, OptionVerificationType::kNormal,
|
|
|
|
(OptionTypeFlags::kCompareNever | OptionTypeFlags::kDontSerialize),
|
|
|
|
// Parses the input vsalue as a Cache
|
|
|
|
[](const ConfigOptions& opts, const std::string&,
|
|
|
|
const std::string& value, char* addr) {
|
|
|
|
auto* cache = reinterpret_cast<std::shared_ptr<Cache>*>(addr);
|
|
|
|
return Cache::CreateFromString(opts, value, cache);
|
|
|
|
}}},
|
|
|
|
{"block_cache_compressed",
|
|
|
|
{offsetof(struct BlockBasedTableOptions, block_cache_compressed),
|
|
|
|
OptionType::kUnknown, OptionVerificationType::kNormal,
|
|
|
|
(OptionTypeFlags::kCompareNever | OptionTypeFlags::kDontSerialize),
|
|
|
|
// Parses the input vsalue as a Cache
|
|
|
|
[](const ConfigOptions& opts, const std::string&,
|
|
|
|
const std::string& value, char* addr) {
|
|
|
|
auto* cache = reinterpret_cast<std::shared_ptr<Cache>*>(addr);
|
|
|
|
return Cache::CreateFromString(opts, value, cache);
|
|
|
|
}}},
|
|
|
|
#endif // ROCKSDB_LITE
|
|
|
|
};
|
|
|
|
|
|
|
|
// TODO(myabandeh): We should return an error instead of silently changing the
|
|
|
|
// options
|
|
|
|
BlockBasedTableFactory::BlockBasedTableFactory(
|
|
|
|
const BlockBasedTableOptions& _table_options)
|
|
|
|
: table_options_(_table_options) {
|
|
|
|
InitializeOptions();
|
|
|
|
ConfigurableHelper::RegisterOptions(*this, &table_options_,
|
|
|
|
&block_based_table_type_info);
|
|
|
|
}
|
|
|
|
|
|
|
|
void BlockBasedTableFactory::InitializeOptions() {
|
|
|
|
if (table_options_.flush_block_policy_factory == nullptr) {
|
|
|
|
table_options_.flush_block_policy_factory.reset(
|
|
|
|
new FlushBlockBySizePolicyFactory());
|
|
|
|
}
|
|
|
|
if (table_options_.no_block_cache) {
|
|
|
|
table_options_.block_cache.reset();
|
|
|
|
} else if (table_options_.block_cache == nullptr) {
|
|
|
|
LRUCacheOptions co;
|
|
|
|
co.capacity = 8 << 20;
|
|
|
|
// It makes little sense to pay overhead for mid-point insertion while the
|
|
|
|
// block size is only 8MB.
|
|
|
|
co.high_pri_pool_ratio = 0.0;
|
|
|
|
table_options_.block_cache = NewLRUCache(co);
|
|
|
|
}
|
|
|
|
if (table_options_.block_size_deviation < 0 ||
|
|
|
|
table_options_.block_size_deviation > 100) {
|
|
|
|
table_options_.block_size_deviation = 0;
|
|
|
|
}
|
|
|
|
if (table_options_.block_restart_interval < 1) {
|
|
|
|
table_options_.block_restart_interval = 1;
|
|
|
|
}
|
|
|
|
if (table_options_.index_block_restart_interval < 1) {
|
|
|
|
table_options_.index_block_restart_interval = 1;
|
|
|
|
}
|
|
|
|
if (table_options_.index_type == BlockBasedTableOptions::kHashSearch &&
|
|
|
|
table_options_.index_block_restart_interval != 1) {
|
|
|
|
// Currently kHashSearch is incompatible with index_block_restart_interval > 1
|
|
|
|
table_options_.index_block_restart_interval = 1;
|
|
|
|
}
|
|
|
|
if (table_options_.partition_filters &&
|
|
|
|
table_options_.index_type !=
|
|
|
|
BlockBasedTableOptions::kTwoLevelIndexSearch) {
|
|
|
|
// We do not support partitioned filters without partitioning indexes
|
|
|
|
table_options_.partition_filters = false;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
Status BlockBasedTableFactory::PrepareOptions(const ConfigOptions& opts) {
|
|
|
|
InitializeOptions();
|
|
|
|
return TableFactory::PrepareOptions(opts);
|
|
|
|
}
|
|
|
|
|
|
|
|
Status BlockBasedTableFactory::NewTableReader(
|
|
|
|
const ReadOptions& ro, const TableReaderOptions& table_reader_options,
|
|
|
|
std::unique_ptr<RandomAccessFileReader>&& file, uint64_t file_size,
|
|
|
|
std::unique_ptr<TableReader>* table_reader,
|
|
|
|
bool prefetch_index_and_filter_in_cache) const {
|
|
|
|
return BlockBasedTable::Open(
|
|
|
|
ro, table_reader_options.ioptions, table_reader_options.env_options,
|
|
|
|
table_options_, table_reader_options.internal_comparator, std::move(file),
|
|
|
|
file_size, table_reader, table_reader_options.prefix_extractor,
|
|
|
|
prefetch_index_and_filter_in_cache, table_reader_options.skip_filters,
|
|
|
|
table_reader_options.level, table_reader_options.immortal,
|
|
|
|
table_reader_options.largest_seqno,
|
|
|
|
table_reader_options.force_direct_prefetch, &tail_prefetch_stats_,
|
|
|
|
table_reader_options.block_cache_tracer,
|
|
|
|
table_reader_options.max_file_size_for_l0_meta_pin);
|
|
|
|
}
|
|
|
|
|
|
|
|
TableBuilder* BlockBasedTableFactory::NewTableBuilder(
|
|
|
|
const TableBuilderOptions& table_builder_options, uint32_t column_family_id,
|
Move rate_limiter, write buffering, most perf context instrumentation and most random kill out of Env
Summary: We want to keep Env a think layer for better portability. Less platform dependent codes should be moved out of Env. In this patch, I create a wrapper of file readers and writers, and put rate limiting, write buffering, as well as most perf context instrumentation and random kill out of Env. It will make it easier to maintain multiple Env in the future.
Test Plan: Run all existing unit tests.
Reviewers: anthony, kradhakrishnan, IslamAbdelRahman, yhchiang, igor
Reviewed By: igor
Subscribers: leveldb, dhruba
Differential Revision: https://reviews.facebook.net/D42321
10 years ago
|
|
|
WritableFileWriter* file) const {
|
|
|
|
auto table_builder = new BlockBasedTableBuilder(
|
|
|
|
table_builder_options.ioptions, table_builder_options.moptions,
|
|
|
|
table_options_, table_builder_options.internal_comparator,
|
|
|
|
table_builder_options.int_tbl_prop_collector_factories, column_family_id,
|
|
|
|
file, table_builder_options.compression_type,
|
|
|
|
table_builder_options.sample_for_compression,
|
A new call back to TablePropertiesCollector to allow users know the entry is add, delete or merge
Summary:
Currently users have no idea a key is add, delete or merge from TablePropertiesCollector call back. Add a new function to add it.
Also refactor the codes so that
(1) make table property collector and internal table property collector two separate data structures with the later one now exposed
(2) table builders only receive internal table properties
Test Plan: Add cases in table_properties_collector_test to cover both of old and new ways of using TablePropertiesCollector.
Reviewers: yhchiang, igor.sugak, rven, igor
Reviewed By: rven, igor
Subscribers: meyering, yoshinorim, maykov, leveldb, dhruba
Differential Revision: https://reviews.facebook.net/D35373
10 years ago
|
|
|
table_builder_options.compression_opts,
|
|
|
|
table_builder_options.skip_filters,
|
|
|
|
table_builder_options.column_family_name, table_builder_options.level,
|
|
|
|
table_builder_options.creation_time,
|
Reduce scope of compression dictionary to single SST (#4952)
Summary:
Our previous approach was to train one compression dictionary per compaction, using the first output SST to train a dictionary, and then applying it on subsequent SSTs in the same compaction. While this was great for minimizing CPU/memory/I/O overhead, it did not achieve good compression ratios in practice. In our most promising potential use case, moderate reductions in a dictionary's scope make a major difference on compression ratio.
So, this PR changes compression dictionary to be scoped per-SST. It accepts the tradeoff during table building to use more memory and CPU. Important changes include:
- The `BlockBasedTableBuilder` has a new state when dictionary compression is in-use: `kBuffered`. In that state it accumulates uncompressed data in-memory whenever `Add` is called.
- After accumulating target file size bytes or calling `BlockBasedTableBuilder::Finish`, a `BlockBasedTableBuilder` moves to the `kUnbuffered` state. The transition (`EnterUnbuffered()`) involves sampling the buffered data, training a dictionary, and compressing/writing out all buffered data. In the `kUnbuffered` state, a `BlockBasedTableBuilder` behaves the same as before -- blocks are compressed/written out as soon as they fill up.
- Samples are now whole uncompressed data blocks, except the final sample may be a partial data block so we don't breach the user's configured `max_dict_bytes` or `zstd_max_train_bytes`. The dictionary trainer is supposed to work better when we pass it real units of compression. Previously we were passing 64-byte KV samples which was not realistic.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4952
Differential Revision: D13967980
Pulled By: ajkr
fbshipit-source-id: 82bea6f7537e1529c7a1a4cdee84585f5949300f
6 years ago
|
|
|
table_builder_options.oldest_key_time,
|
Periodic Compactions (#5166)
Summary:
Introducing Periodic Compactions.
This feature allows all the files in a CF to be periodically compacted. It could help in catching any corruptions that could creep into the DB proactively as every file is constantly getting re-compacted. And also, of course, it helps to cleanup data older than certain threshold.
- Introduced a new option `periodic_compaction_time` to control how long a file can live without being compacted in a CF.
- This works across all levels.
- The files are put in the same level after going through the compaction. (Related files in the same level are picked up as `ExpandInputstoCleanCut` is used).
- Compaction filters, if any, are invoked as usual.
- A new table property, `file_creation_time`, is introduced to implement this feature. This property is set to the time at which the SST file was created (and that time is given by the underlying Env/OS).
This feature can be enabled on its own, or in conjunction with `ttl`. It is possible to set a different time threshold for the bottom level when used in conjunction with ttl. Since `ttl` works only on 0 to last but one levels, you could set `ttl` to, say, 1 day, and `periodic_compaction_time` to, say, 7 days. Since `ttl < periodic_compaction_time` all files in last but one levels keep getting picked up based on ttl, and almost never based on periodic_compaction_time. The files in the bottom level get picked up for compaction based on `periodic_compaction_time`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5166
Differential Revision: D14884441
Pulled By: sagar0
fbshipit-source-id: 408426cbacb409c06386a98632dcf90bfa1bda47
6 years ago
|
|
|
table_builder_options.target_file_size,
|
|
|
|
table_builder_options.file_creation_time, table_builder_options.db_id,
|
|
|
|
table_builder_options.db_session_id);
|
|
|
|
|
|
|
|
return table_builder;
|
|
|
|
}
|
|
|
|
|
|
|
|
Status BlockBasedTableFactory::ValidateOptions(
|
|
|
|
const DBOptions& db_opts, const ColumnFamilyOptions& cf_opts) const {
|
|
|
|
if (table_options_.index_type == BlockBasedTableOptions::kHashSearch &&
|
|
|
|
cf_opts.prefix_extractor == nullptr) {
|
|
|
|
return Status::InvalidArgument(
|
|
|
|
"Hash index is specified for block-based "
|
|
|
|
"table, but prefix_extractor is not given");
|
|
|
|
}
|
|
|
|
if (table_options_.cache_index_and_filter_blocks &&
|
|
|
|
table_options_.no_block_cache) {
|
|
|
|
return Status::InvalidArgument(
|
|
|
|
"Enable cache_index_and_filter_blocks, "
|
|
|
|
", but block cache is disabled");
|
|
|
|
}
|
Adding pin_l0_filter_and_index_blocks_in_cache feature and related fixes.
Summary:
When a block based table file is opened, if prefetch_index_and_filter is true, it will prefetch the index and filter blocks, putting them into the block cache.
What this feature adds: when a L0 block based table file is opened, if pin_l0_filter_and_index_blocks_in_cache is true in the options (and prefetch_index_and_filter is true), then the filter and index blocks aren't released back to the block cache at the end of BlockBasedTableReader::Open(). Instead the table reader takes ownership of them, hence pinning them, ie. the LRU cache will never push them out. Meanwhile in the table reader, further accesses will not hit the block cache, thus avoiding lock contention.
Test Plan:
'export TEST_TMPDIR=/dev/shm/ && DISABLE_JEMALLOC=1 OPT=-g make all valgrind_check -j32' is OK.
I didn't run the Java tests, I don't have Java set up on my devserver.
Reviewers: sdong
Reviewed By: sdong
Subscribers: andrewkr, dhruba
Differential Revision: https://reviews.facebook.net/D56133
9 years ago
|
|
|
if (table_options_.pin_l0_filter_and_index_blocks_in_cache &&
|
|
|
|
table_options_.no_block_cache) {
|
|
|
|
return Status::InvalidArgument(
|
|
|
|
"Enable pin_l0_filter_and_index_blocks_in_cache, "
|
|
|
|
", but block cache is disabled");
|
|
|
|
}
|
|
|
|
if (!BlockBasedTableSupportedVersion(table_options_.format_version)) {
|
|
|
|
return Status::InvalidArgument(
|
|
|
|
"Unsupported BlockBasedTable format_version. Please check "
|
|
|
|
"include/rocksdb/table.h for more info");
|
|
|
|
}
|
|
|
|
if (table_options_.block_align && (cf_opts.compression != kNoCompression)) {
|
|
|
|
return Status::InvalidArgument(
|
|
|
|
"Enable block_align, but compression "
|
|
|
|
"enabled");
|
|
|
|
}
|
|
|
|
if (table_options_.block_align &&
|
|
|
|
(table_options_.block_size & (table_options_.block_size - 1))) {
|
|
|
|
return Status::InvalidArgument(
|
|
|
|
"Block alignment requested but block size is not a power of 2");
|
|
|
|
}
|
|
|
|
if (table_options_.block_size > port::kMaxUint32) {
|
|
|
|
return Status::InvalidArgument(
|
|
|
|
"block size exceeds maximum number (4GiB) allowed");
|
|
|
|
}
|
|
|
|
if (table_options_.data_block_index_type ==
|
|
|
|
BlockBasedTableOptions::kDataBlockBinaryAndHash &&
|
|
|
|
table_options_.data_block_hash_table_util_ratio <= 0) {
|
|
|
|
return Status::InvalidArgument(
|
|
|
|
"data_block_hash_table_util_ratio should be greater than 0 when "
|
|
|
|
"data_block_index_type is set to kDataBlockBinaryAndHash");
|
|
|
|
}
|
|
|
|
if (db_opts.unordered_write && cf_opts.max_successive_merges > 0) {
|
|
|
|
// TODO(myabandeh): support it
|
|
|
|
return Status::InvalidArgument(
|
|
|
|
"max_successive_merges larger than 0 is currently inconsistent with "
|
|
|
|
"unordered_write");
|
|
|
|
}
|
|
|
|
return TableFactory::ValidateOptions(db_opts, cf_opts);
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string BlockBasedTableFactory::GetPrintableOptions() const {
|
|
|
|
std::string ret;
|
|
|
|
ret.reserve(20000);
|
|
|
|
const int kBufferSize = 200;
|
|
|
|
char buffer[kBufferSize];
|
|
|
|
|
|
|
|
snprintf(buffer, kBufferSize, " flush_block_policy_factory: %s (%p)\n",
|
|
|
|
table_options_.flush_block_policy_factory->Name(),
|
|
|
|
static_cast<void*>(table_options_.flush_block_policy_factory.get()));
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " cache_index_and_filter_blocks: %d\n",
|
|
|
|
table_options_.cache_index_and_filter_blocks);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize,
|
|
|
|
" cache_index_and_filter_blocks_with_high_priority: %d\n",
|
|
|
|
table_options_.cache_index_and_filter_blocks_with_high_priority);
|
|
|
|
ret.append(buffer);
|
Adding pin_l0_filter_and_index_blocks_in_cache feature and related fixes.
Summary:
When a block based table file is opened, if prefetch_index_and_filter is true, it will prefetch the index and filter blocks, putting them into the block cache.
What this feature adds: when a L0 block based table file is opened, if pin_l0_filter_and_index_blocks_in_cache is true in the options (and prefetch_index_and_filter is true), then the filter and index blocks aren't released back to the block cache at the end of BlockBasedTableReader::Open(). Instead the table reader takes ownership of them, hence pinning them, ie. the LRU cache will never push them out. Meanwhile in the table reader, further accesses will not hit the block cache, thus avoiding lock contention.
Test Plan:
'export TEST_TMPDIR=/dev/shm/ && DISABLE_JEMALLOC=1 OPT=-g make all valgrind_check -j32' is OK.
I didn't run the Java tests, I don't have Java set up on my devserver.
Reviewers: sdong
Reviewed By: sdong
Subscribers: andrewkr, dhruba
Differential Revision: https://reviews.facebook.net/D56133
9 years ago
|
|
|
snprintf(buffer, kBufferSize,
|
|
|
|
" pin_l0_filter_and_index_blocks_in_cache: %d\n",
|
|
|
|
table_options_.pin_l0_filter_and_index_blocks_in_cache);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " pin_top_level_index_and_filter: %d\n",
|
|
|
|
table_options_.pin_top_level_index_and_filter);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " index_type: %d\n",
|
|
|
|
table_options_.index_type);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " data_block_index_type: %d\n",
|
|
|
|
table_options_.data_block_index_type);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " index_shortening: %d\n",
|
|
|
|
static_cast<int>(table_options_.index_shortening));
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " data_block_hash_table_util_ratio: %lf\n",
|
|
|
|
table_options_.data_block_hash_table_util_ratio);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " hash_index_allow_collision: %d\n",
|
|
|
|
table_options_.hash_index_allow_collision);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " checksum: %d\n", table_options_.checksum);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " no_block_cache: %d\n",
|
|
|
|
table_options_.no_block_cache);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " block_cache: %p\n",
|
|
|
|
static_cast<void*>(table_options_.block_cache.get()));
|
|
|
|
ret.append(buffer);
|
|
|
|
if (table_options_.block_cache) {
|
|
|
|
const char* block_cache_name = table_options_.block_cache->Name();
|
|
|
|
if (block_cache_name != nullptr) {
|
|
|
|
snprintf(buffer, kBufferSize, " block_cache_name: %s\n",
|
|
|
|
block_cache_name);
|
|
|
|
ret.append(buffer);
|
|
|
|
}
|
|
|
|
ret.append(" block_cache_options:\n");
|
|
|
|
ret.append(table_options_.block_cache->GetPrintableOptions());
|
|
|
|
}
|
|
|
|
snprintf(buffer, kBufferSize, " block_cache_compressed: %p\n",
|
|
|
|
static_cast<void*>(table_options_.block_cache_compressed.get()));
|
|
|
|
ret.append(buffer);
|
|
|
|
if (table_options_.block_cache_compressed) {
|
|
|
|
const char* block_cache_compressed_name =
|
|
|
|
table_options_.block_cache_compressed->Name();
|
|
|
|
if (block_cache_compressed_name != nullptr) {
|
|
|
|
snprintf(buffer, kBufferSize, " block_cache_name: %s\n",
|
|
|
|
block_cache_compressed_name);
|
|
|
|
ret.append(buffer);
|
|
|
|
}
|
|
|
|
ret.append(" block_cache_compressed_options:\n");
|
|
|
|
ret.append(table_options_.block_cache_compressed->GetPrintableOptions());
|
|
|
|
}
|
|
|
|
snprintf(buffer, kBufferSize, " persistent_cache: %p\n",
|
|
|
|
static_cast<void*>(table_options_.persistent_cache.get()));
|
|
|
|
ret.append(buffer);
|
|
|
|
if (table_options_.persistent_cache) {
|
|
|
|
snprintf(buffer, kBufferSize, " persistent_cache_options:\n");
|
|
|
|
ret.append(buffer);
|
|
|
|
ret.append(table_options_.persistent_cache->GetPrintableOptions());
|
|
|
|
}
|
|
|
|
snprintf(buffer, kBufferSize, " block_size: %" ROCKSDB_PRIszt "\n",
|
|
|
|
table_options_.block_size);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " block_size_deviation: %d\n",
|
|
|
|
table_options_.block_size_deviation);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " block_restart_interval: %d\n",
|
|
|
|
table_options_.block_restart_interval);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " index_block_restart_interval: %d\n",
|
|
|
|
table_options_.index_block_restart_interval);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " metadata_block_size: %" PRIu64 "\n",
|
|
|
|
table_options_.metadata_block_size);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " partition_filters: %d\n",
|
|
|
|
table_options_.partition_filters);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " use_delta_encoding: %d\n",
|
|
|
|
table_options_.use_delta_encoding);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " filter_policy: %s\n",
|
|
|
|
table_options_.filter_policy == nullptr
|
|
|
|
? "nullptr"
|
|
|
|
: table_options_.filter_policy->Name());
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " whole_key_filtering: %d\n",
|
|
|
|
table_options_.whole_key_filtering);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " verify_compression: %d\n",
|
|
|
|
table_options_.verify_compression);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " read_amp_bytes_per_bit: %d\n",
|
|
|
|
table_options_.read_amp_bytes_per_bit);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " format_version: %d\n",
|
|
|
|
table_options_.format_version);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " enable_index_compression: %d\n",
|
|
|
|
table_options_.enable_index_compression);
|
|
|
|
ret.append(buffer);
|
|
|
|
snprintf(buffer, kBufferSize, " block_align: %d\n",
|
|
|
|
table_options_.block_align);
|
|
|
|
ret.append(buffer);
|
|
|
|
return ret;
|
|
|
|
}
|
|
|
|
|
|
|
|
const void* BlockBasedTableFactory::GetOptionsPtr(
|
|
|
|
const std::string& name) const {
|
|
|
|
if (name == kBlockCacheOpts()) {
|
|
|
|
if (table_options_.no_block_cache) {
|
|
|
|
return nullptr;
|
|
|
|
} else {
|
|
|
|
return table_options_.block_cache.get();
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
return TableFactory::GetOptionsPtr(name);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
#ifndef ROCKSDB_LITE
|
|
|
|
// Take a default BlockBasedTableOptions "table_options" in addition to a
|
|
|
|
// map "opts_map" of option name to option value to construct the new
|
|
|
|
// BlockBasedTableOptions "new_table_options".
|
|
|
|
//
|
|
|
|
// Below are the instructions of how to config some non-primitive-typed
|
|
|
|
// options in BlockBasedTableOptions:
|
|
|
|
//
|
|
|
|
// * filter_policy:
|
|
|
|
// We currently only support the following FilterPolicy in the convenience
|
|
|
|
// functions:
|
|
|
|
// - BloomFilter: use "bloomfilter:[bits_per_key]:[use_block_based_builder]"
|
|
|
|
// to specify BloomFilter. The above string is equivalent to calling
|
|
|
|
// NewBloomFilterPolicy(bits_per_key, use_block_based_builder).
|
|
|
|
// [Example]:
|
|
|
|
// - Pass {"filter_policy", "bloomfilter:4:true"} in
|
|
|
|
// GetBlockBasedTableOptionsFromMap to use a BloomFilter with 4-bits
|
|
|
|
// per key and use_block_based_builder enabled.
|
|
|
|
//
|
|
|
|
// * block_cache / block_cache_compressed:
|
|
|
|
// We currently only support LRU cache in the GetOptions API. The LRU
|
|
|
|
// cache can be set by directly specifying its size.
|
|
|
|
// [Example]:
|
|
|
|
// - Passing {"block_cache", "1M"} in GetBlockBasedTableOptionsFromMap is
|
|
|
|
// equivalent to setting block_cache using NewLRUCache(1024 * 1024).
|
|
|
|
//
|
|
|
|
// @param table_options the default options of the output "new_table_options".
|
|
|
|
// @param opts_map an option name to value map for specifying how
|
|
|
|
// "new_table_options" should be set.
|
|
|
|
// @param new_table_options the resulting options based on "table_options"
|
|
|
|
// with the change specified in "opts_map".
|
|
|
|
// @param input_strings_escaped when set to true, each escaped characters
|
|
|
|
// prefixed by '\' in the values of the opts_map will be further converted
|
|
|
|
// back to the raw string before assigning to the associated options.
|
|
|
|
// @param ignore_unknown_options when set to true, unknown options are ignored
|
|
|
|
// instead of resulting in an unknown-option error.
|
|
|
|
// @return Status::OK() on success. Otherwise, a non-ok status indicating
|
|
|
|
// error will be returned, and "new_table_options" will be set to
|
|
|
|
// "table_options".
|
|
|
|
Status BlockBasedTableFactory::ParseOption(const ConfigOptions& config_options,
|
|
|
|
const OptionTypeInfo& opt_info,
|
|
|
|
const std::string& opt_name,
|
|
|
|
const std::string& opt_value,
|
|
|
|
void* opt_ptr) {
|
|
|
|
Status status = TableFactory::ParseOption(config_options, opt_info, opt_name,
|
|
|
|
opt_value, opt_ptr);
|
|
|
|
if (config_options.input_strings_escaped && !status.ok()) { // Got an error
|
|
|
|
// !input_strings_escaped indicates the old API, where everything is
|
|
|
|
// parsable.
|
|
|
|
if (opt_info.IsByName()) {
|
|
|
|
status = Status::OK();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return status;
|
|
|
|
}
|
|
|
|
|
|
|
|
Status GetBlockBasedTableOptionsFromString(
|
|
|
|
const BlockBasedTableOptions& table_options, const std::string& opts_str,
|
|
|
|
BlockBasedTableOptions* new_table_options) {
|
|
|
|
ConfigOptions config_options;
|
|
|
|
config_options.input_strings_escaped = false;
|
|
|
|
config_options.ignore_unknown_options = false;
|
|
|
|
config_options.invoke_prepare_options = false;
|
|
|
|
return GetBlockBasedTableOptionsFromString(config_options, table_options,
|
|
|
|
opts_str, new_table_options);
|
|
|
|
}
|
|
|
|
Status GetBlockBasedTableOptionsFromString(
|
|
|
|
const ConfigOptions& config_options,
|
|
|
|
const BlockBasedTableOptions& table_options, const std::string& opts_str,
|
|
|
|
BlockBasedTableOptions* new_table_options) {
|
|
|
|
std::unordered_map<std::string, std::string> opts_map;
|
|
|
|
Status s = StringToMap(opts_str, &opts_map);
|
|
|
|
if (!s.ok()) {
|
|
|
|
return s;
|
|
|
|
}
|
|
|
|
s = GetBlockBasedTableOptionsFromMap(config_options, table_options, opts_map,
|
|
|
|
new_table_options);
|
|
|
|
// Translate any errors (NotFound, NotSupported, to InvalidArgument
|
|
|
|
if (s.ok() || s.IsInvalidArgument()) {
|
|
|
|
return s;
|
|
|
|
} else {
|
|
|
|
return Status::InvalidArgument(s.getState());
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
Status GetBlockBasedTableOptionsFromMap(
|
|
|
|
const BlockBasedTableOptions& table_options,
|
|
|
|
const std::unordered_map<std::string, std::string>& opts_map,
|
|
|
|
BlockBasedTableOptions* new_table_options, bool input_strings_escaped,
|
|
|
|
bool ignore_unknown_options) {
|
|
|
|
ConfigOptions config_options;
|
|
|
|
config_options.input_strings_escaped = input_strings_escaped;
|
|
|
|
config_options.ignore_unknown_options = ignore_unknown_options;
|
|
|
|
config_options.invoke_prepare_options = false;
|
|
|
|
|
|
|
|
return GetBlockBasedTableOptionsFromMap(config_options, table_options,
|
|
|
|
opts_map, new_table_options);
|
|
|
|
}
|
|
|
|
|
|
|
|
Status GetBlockBasedTableOptionsFromMap(
|
|
|
|
const ConfigOptions& config_options,
|
|
|
|
const BlockBasedTableOptions& table_options,
|
|
|
|
const std::unordered_map<std::string, std::string>& opts_map,
|
|
|
|
BlockBasedTableOptions* new_table_options) {
|
|
|
|
assert(new_table_options);
|
|
|
|
BlockBasedTableFactory bbtf(table_options);
|
|
|
|
Status s = bbtf.ConfigureFromMap(config_options, opts_map);
|
|
|
|
if (s.ok()) {
|
|
|
|
*new_table_options = *(bbtf.GetOptions<BlockBasedTableOptions>());
|
|
|
|
} else {
|
|
|
|
*new_table_options = table_options;
|
|
|
|
}
|
|
|
|
return s;
|
|
|
|
}
|
|
|
|
#endif // !ROCKSDB_LITE
|
|
|
|
|
|
|
|
TableFactory* NewBlockBasedTableFactory(
|
|
|
|
const BlockBasedTableOptions& _table_options) {
|
|
|
|
return new BlockBasedTableFactory(_table_options);
|
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}
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const std::string BlockBasedTablePropertyNames::kIndexType =
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"rocksdb.block.based.table.index.type";
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const std::string BlockBasedTablePropertyNames::kWholeKeyFiltering =
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"rocksdb.block.based.table.whole.key.filtering";
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const std::string BlockBasedTablePropertyNames::kPrefixFiltering =
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"rocksdb.block.based.table.prefix.filtering";
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const std::string kHashIndexPrefixesBlock = "rocksdb.hashindex.prefixes";
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const std::string kHashIndexPrefixesMetadataBlock =
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"rocksdb.hashindex.metadata";
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const std::string kPropTrue = "1";
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const std::string kPropFalse = "0";
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} // namespace ROCKSDB_NAMESPACE
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