Summary: This pull request implements the prediction aspect of auto-tuning compression in RocksDB, as part of Milestone 2. The goal is to optimize compression decisions to meet a given CPU and IO budget, based on the predicted CPU time and result compression ratio for compression decisions on a data block. Pull Request resolved: https://github.com/facebook/rocksdb/pull/13711 Test Plan: Ran benchmark tests to evaluate performance impact of new algorithm Verified that optimization does not compromise overall system performance ```bash SUFFIX=`tty | sed 's|/|_|g'`; for ARGS in "-compression_parallel_threads=1 -compression_type=zstd -compression_manager=none" "-compression_parallel_threads=4 -compression_type=zstd -compression_manager=none" "-compression_parallel_threads=1 -compression_type=zstd -compression_manager=costpredictor" "-compression_parallel_threads=4 -compression_type=zstd -compression_manager=costpredictor" ; do echo $ARGS; (for I in `seq 1 20`; do ./db_bench -db=/dev/shm/dbbench$SUFFIX --benchmarks=fillseq -num=10000000 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=1000 -fifo_compaction_allow_compaction=0 -disable_wal -write_buffer_size=12000000 $ARGS 2>&1 | grep micros/op; done) | awk '{n++; sum += $5;} END { print int(sum / n); }'; done ``` parallel threads | 1 | 4 -- | -- | -- master branch | 1076660.5 ops | 1668411.3 ops new code compression manager="none" | 1057155.35 ops (-1.81%) | 1648664.2 ops (-1.18%) new code compression manager="costpredictor" | 1080794.8 ops (0.38%)| 1652720.35 ops (-0.94%) Used the mean absolute percentage error (MAPE) to show accuracy of the predictor. ```bash ./db_bench --db=/dev/shm/dbbench$SUFFIX --benchmarks=fillseq --compaction_style=2 --num=10000000 --fifo_compaction_max_table_files_size_mb=1000 --fifo_compaction_allow_compaction=0 --disable_wal --write_buffer_size=12000000 --statistics --stats_level=5 --value_size=2000 --compression_manager=costpredictor --compression_type=zstd --progress_reports=false 2>&1 | tee /tmp/predict.log ``` compression_name | compression_level | MAPE (cpu cost) | MAPE (io cost) | average measured_time (micro sec) | average predicted_time (micro sec) | average measured_io (bytes) | average predicted_io (bytes) -- | -- | -- | -- | -- | -- | -- | -- Snappy | 0 | 16.979548 | 3.138885 | 3.639488 | 2.98755 | 2257.655152 | 2178.070375 LZ4 | 1 | 15.508632 | 3.103681 | 4.733639 | 4.010361 | 2257.803299 | 2179.82233 LZ4 | 4 | 15.471204 | 3.102158 | 4.731955 | 4.006011 | 2258.529203 | 2179.778441 LZ4 | 9 | 15.429305 | 3.09599 | 4.729104 | 4.007059 | 2257.822368 | 2179.927506 LZ4HC | 1 | 7.254545 | 3.112858 | 79.64412 | 76.603272 | 2258.636774 | 2177.464922 LZ4HC | 4 | 7.249132 | 3.085802 | 79.591264 | 76.576416 | 2255.098757 | 2176.126082 LZ4HC | 9 | 7.248921 | 3.09695 | 79.719061 | 76.614155 | 2253.772057 | 2175.882686 ZSTD | 1 | 8.728305 | 3.223971 | 18.93434 | 17.882706 | 1957.773706 | 1890.895071 ZSTD | 15 | 4.853552 | 3.238199 | 329.396574 | 318.277613 | 1918.021616 | 1853.833546 ZSTD | 22 | 4.275209 | 3.243137 | 625.471394 | 596.254939 | 1919.035477 | 1853.44902 ```bash ./db_bench --db=/dev/shm/dbbench$SUFFIX --benchmarks=fillseq --compaction_style=2 --num=10000000 --fifo_compaction_max_table_files_size_mb=1000 --fifo_compaction_allow_compaction=0 --disable_wal --write_buffer_size=12000000 --statistics --stats_level=5 --value_size=2000 --compression_manager=costpredictor --compression_type=zstd --progress_reports=false --write_buffer_size=140737488355328 --block_size=16382 ``` Increasing the block size i.e. doubling the measured time reduces the MAPE by half. compression_name | compression_level | MAPE (cpu cost) | MAPE (io cost) | average measured_time (micro sec) | average predicted_time (micro sec) | average measured_io (bytes) | average predicted_io (bytes) -- | -- | -- | -- | -- | -- | -- | -- Snappy | 0 | 7.933944 | 0.061173 | 7.187587 | 6.815071 | 4466.536629 | 4465.925648 LZ4 | 1 | 5.614279 | 0.050215 | 8.526641 | 8.14445 | 4473.768752 | 4473.159792 LZ4 | 4 | 5.617925 | 0.050317 | 8.525155 | 8.144209 | 4473.772343 | 4473.159782 LZ4 | 9 | 5.65519 | 0.050249 | 8.530569 | 8.14836 | 4473.762187 | 4473.150695 LZ4HC | 1 | 4.259648 | 0.028564 | 98.273778 | 97.820515 | 4471.691596 | 4471.05918 LZ4HC | 4 | 4.269529 | 0.027665 | 98.240579 | 97.788721 | 4465.537078 | 4464.901328 LZ4HC | 9 | 4.274553 | 0.027555 | 98.319357 | 97.8637 | 4465.539437 | 4464.903889 ZSTD | 1 | 4.909716 | 0.155441 | 29.503133 | 29.047057 | 3713.562704 | 3712.978633 ZSTD | 15 | 1.310407 | 0.162864 | 643.803097 | 635.960631 | 3797.544307 | 3705.772419 ZSTD | 22 | 1.011497 | 0.155876 | 1221.189822 | 1220.693678 | 3705.556448 | 3704.972332 Reviewed By: hx235 Differential Revision: D77065528 Pulled By: shubhajeet fbshipit-source-id: f7f4ae018f786bfeae3eacf0135055c63e142610
189 lines
7.2 KiB
C++
189 lines
7.2 KiB
C++
// Copyright (c) Meta Platforms, Inc. and affiliates.
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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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// Defines auto skip compressor wrapper which intelligently decides bypassing
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// compression based on past data
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// Defines CostAwareCompressor which currently tries to predict the cpu and io
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// cost of the compression
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#pragma once
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#include <memory>
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#include "rocksdb/advanced_compression.h"
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namespace ROCKSDB_NAMESPACE {
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// Auto Skip Compression Components
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// Predict rejection probability using a moving window approach
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class CompressionRejectionProbabilityPredictor {
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public:
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explicit CompressionRejectionProbabilityPredictor(int window_size)
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: pred_rejection_prob_percentage_(0),
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rejected_count_(0),
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compressed_count_(0),
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window_size_(window_size) {}
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int Predict() const;
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bool Record(Slice uncompressed_block_data, std::string* compressed_output,
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const CompressionOptions& opts);
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size_t attempted_compression_count() const;
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protected:
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int pred_rejection_prob_percentage_;
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size_t rejected_count_;
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size_t compressed_count_;
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size_t window_size_;
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};
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class AutoSkipWorkingArea : public Compressor::WorkingArea {
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public:
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explicit AutoSkipWorkingArea(Compressor::ManagedWorkingArea&& wa)
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: wrapped(std::move(wa)),
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predictor(
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std::make_shared<CompressionRejectionProbabilityPredictor>(10)) {}
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~AutoSkipWorkingArea() {}
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AutoSkipWorkingArea(const AutoSkipWorkingArea&) = delete;
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AutoSkipWorkingArea& operator=(const AutoSkipWorkingArea&) = delete;
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AutoSkipWorkingArea(AutoSkipWorkingArea&& other) noexcept
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: wrapped(std::move(other.wrapped)),
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predictor(std::move(other.predictor)) {}
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AutoSkipWorkingArea& operator=(AutoSkipWorkingArea&& other) noexcept {
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if (this != &other) {
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wrapped = std::move(other.wrapped);
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predictor = std::move(other.predictor);
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}
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return *this;
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}
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Compressor::ManagedWorkingArea wrapped;
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std::shared_ptr<CompressionRejectionProbabilityPredictor> predictor;
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};
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class AutoSkipCompressorWrapper : public CompressorWrapper {
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public:
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const char* Name() const override;
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explicit AutoSkipCompressorWrapper(std::unique_ptr<Compressor> compressor,
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const CompressionOptions& opts);
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Status CompressBlock(Slice uncompressed_data, std::string* compressed_output,
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CompressionType* out_compression_type,
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ManagedWorkingArea* wa) override;
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ManagedWorkingArea ObtainWorkingArea() override;
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void ReleaseWorkingArea(WorkingArea* wa) override;
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private:
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Status CompressBlockAndRecord(Slice uncompressed_data,
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std::string* compressed_output,
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CompressionType* out_compression_type,
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AutoSkipWorkingArea* wa);
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static constexpr int kExplorationPercentage = 10;
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static constexpr int kProbabilityCutOff = 50;
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const CompressionOptions opts_;
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};
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class AutoSkipCompressorManager : public CompressionManagerWrapper {
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using CompressionManagerWrapper::CompressionManagerWrapper;
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const char* Name() const override;
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std::unique_ptr<Compressor> GetCompressorForSST(
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const FilterBuildingContext& context, const CompressionOptions& opts,
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CompressionType preferred) override;
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};
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// Cost Aware Components
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template <typename T>
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class WindowAveragePredictor {
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public:
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explicit WindowAveragePredictor(int window_size)
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: sum_(0), prediction_(0), count_(0), kWindowSize(window_size) {}
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T Predict() { return prediction_; }
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bool Record(T data) {
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sum_ += data;
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count_++;
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if (count_ >= kWindowSize) {
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prediction_ = sum_ / count_;
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sum_ = 0;
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count_ = 0;
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}
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return true;
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}
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void SetPrediction(T prediction) { prediction_ = prediction; }
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private:
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T sum_;
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T prediction_;
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int count_;
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const int kWindowSize;
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};
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using IOCostPredictor = WindowAveragePredictor<size_t>;
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using CPUUtilPredictor = WindowAveragePredictor<uint64_t>;
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struct IOCPUCostPredictor {
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explicit IOCPUCostPredictor(int window_size)
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: IOPredictor(window_size), CPUPredictor(window_size) {}
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IOCostPredictor IOPredictor;
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CPUUtilPredictor CPUPredictor;
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};
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class CostAwareWorkingArea : public Compressor::WorkingArea {
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public:
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explicit CostAwareWorkingArea(Compressor::ManagedWorkingArea&& wa)
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: wrapped_(std::move(wa)) {}
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~CostAwareWorkingArea() {}
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CostAwareWorkingArea(const CostAwareWorkingArea&) = delete;
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CostAwareWorkingArea& operator=(const CostAwareWorkingArea&) = delete;
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CostAwareWorkingArea(CostAwareWorkingArea&& other) noexcept
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: wrapped_(std::move(other.wrapped_)) {}
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CostAwareWorkingArea& operator=(CostAwareWorkingArea&& other) noexcept {
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if (this != &other) {
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wrapped_ = std::move(other.wrapped_);
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cost_predictors_ = std::move(other.cost_predictors_);
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}
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return *this;
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}
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Compressor::ManagedWorkingArea wrapped_;
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std::vector<std::vector<IOCPUCostPredictor*>> cost_predictors_;
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};
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class CostAwareCompressor : public Compressor {
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public:
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explicit CostAwareCompressor(const CompressionOptions& opts);
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const char* Name() const override;
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size_t GetMaxSampleSizeIfWantDict(CacheEntryRole block_type) const override;
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Slice GetSerializedDict() const override;
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CompressionType GetPreferredCompressionType() const override;
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ManagedWorkingArea ObtainWorkingArea() override;
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std::unique_ptr<Compressor> MaybeCloneSpecialized(
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CacheEntryRole block_type, DictSampleArgs&& dict_samples) override;
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Status CompressBlock(Slice uncompressed_data, std::string* compressed_output,
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CompressionType* out_compression_type,
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ManagedWorkingArea* wa) override;
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void ReleaseWorkingArea(WorkingArea* wa) override;
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private:
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Status CompressBlockAndRecord(size_t choosen_compression_type,
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size_t compresion_level_ptr,
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Slice uncompressed_data,
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std::string* compressed_output,
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CompressionType* out_compression_type,
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CostAwareWorkingArea* wa);
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static constexpr int kExplorationPercentage = 10;
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static constexpr int kProbabilityCutOff = 50;
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// This is the vector containing the list of compression levels that
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// CostAwareCompressor will use create compressor and predicts the cost
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// The vector contains list of compression level for compression algorithm in
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// the order defined by enum CompressionType
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static const std::vector<std::vector<int>> kCompressionLevels;
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const CompressionOptions opts_;
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std::vector<std::vector<std::unique_ptr<Compressor>>> allcompressors_;
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std::vector<std::pair<size_t, size_t>> allcompressors_index_;
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};
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class CostAwareCompressorManager : public CompressionManagerWrapper {
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using CompressionManagerWrapper::CompressionManagerWrapper;
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const char* Name() const override;
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std::unique_ptr<Compressor> GetCompressorForSST(
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const FilterBuildingContext& context, const CompressionOptions& opts,
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CompressionType preferred) override;
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};
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} // namespace ROCKSDB_NAMESPACE
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