mirror of
https://github.com/facebook/rocksdb.git
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fdf882ded2
Summary: When dynamically linking two binaries together, different builds of RocksDB from two sources might cause errors. To provide a tool for user to solve the problem, the RocksDB namespace is changed to a flag which can be overridden in build time. Pull Request resolved: https://github.com/facebook/rocksdb/pull/6433 Test Plan: Build release, all and jtest. Try to build with ROCKSDB_NAMESPACE with another flag. Differential Revision: D19977691 fbshipit-source-id: aa7f2d0972e1c31d75339ac48478f34f6cfcfb3e
394 lines
16 KiB
C++
394 lines
16 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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#pragma once
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#include <map>
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#include <set>
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#include <vector>
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#include "db/dbformat.h"
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#include "rocksdb/env.h"
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#include "rocksdb/utilities/sim_cache.h"
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#include "trace_replay/block_cache_tracer.h"
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#include "utilities/simulator_cache/cache_simulator.h"
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namespace ROCKSDB_NAMESPACE {
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// Statistics of a key refereneced by a Get.
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struct GetKeyInfo {
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uint64_t key_id = 0;
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std::vector<uint64_t> access_sequence_number_timeline;
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std::vector<uint64_t> access_timeline;
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void AddAccess(const BlockCacheTraceRecord& access,
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uint64_t access_sequnce_number) {
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access_sequence_number_timeline.push_back(access_sequnce_number);
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access_timeline.push_back(access.access_timestamp);
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}
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};
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// Statistics of a block.
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struct BlockAccessInfo {
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uint64_t block_id = 0;
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uint64_t table_id = 0;
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uint64_t block_offset = 0;
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uint64_t num_accesses = 0;
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uint64_t block_size = 0;
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uint64_t first_access_time = 0;
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uint64_t last_access_time = 0;
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uint64_t num_keys = 0;
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std::map<std::string, std::map<TableReaderCaller, uint64_t>>
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key_num_access_map; // for keys exist in this block.
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std::map<std::string, std::map<TableReaderCaller, uint64_t>>
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non_exist_key_num_access_map; // for keys do not exist in this block.
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uint64_t num_referenced_key_exist_in_block = 0;
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uint64_t referenced_data_size = 0;
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std::map<TableReaderCaller, uint64_t> caller_num_access_map;
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// caller:timestamp:number_of_accesses. The granularity of the timestamp is
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// seconds.
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std::map<TableReaderCaller, std::map<uint64_t, uint64_t>>
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caller_num_accesses_timeline;
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// Unique blocks since the last access.
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std::set<std::string> unique_blocks_since_last_access;
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// Number of reuses grouped by reuse distance.
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std::map<uint64_t, uint64_t> reuse_distance_count;
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// The access sequence numbers of this block.
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std::vector<uint64_t> access_sequence_number_timeline;
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std::map<TableReaderCaller, std::vector<uint64_t>>
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caller_access_sequence__number_timeline;
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// The access timestamp in microseconds of this block.
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std::vector<uint64_t> access_timeline;
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std::map<TableReaderCaller, std::vector<uint64_t>> caller_access_timeline;
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void AddAccess(const BlockCacheTraceRecord& access,
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uint64_t access_sequnce_number) {
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if (block_size != 0 && access.block_size != 0) {
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assert(block_size == access.block_size);
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}
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if (num_keys != 0 && access.num_keys_in_block != 0) {
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assert(num_keys == access.num_keys_in_block);
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}
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if (first_access_time == 0) {
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first_access_time = access.access_timestamp;
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}
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table_id = BlockCacheTraceHelper::GetTableId(access);
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block_offset = BlockCacheTraceHelper::GetBlockOffsetInFile(access);
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last_access_time = access.access_timestamp;
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block_size = access.block_size;
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caller_num_access_map[access.caller]++;
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num_accesses++;
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// access.access_timestamp is in microsecond.
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const uint64_t timestamp_in_seconds =
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access.access_timestamp / kMicrosInSecond;
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caller_num_accesses_timeline[access.caller][timestamp_in_seconds] += 1;
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// Populate the feature vectors.
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access_sequence_number_timeline.push_back(access_sequnce_number);
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caller_access_sequence__number_timeline[access.caller].push_back(
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access_sequnce_number);
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access_timeline.push_back(access.access_timestamp);
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caller_access_timeline[access.caller].push_back(access.access_timestamp);
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if (BlockCacheTraceHelper::IsGetOrMultiGetOnDataBlock(access.block_type,
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access.caller)) {
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num_keys = access.num_keys_in_block;
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if (access.referenced_key_exist_in_block == Boolean::kTrue) {
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if (key_num_access_map.find(access.referenced_key) ==
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key_num_access_map.end()) {
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referenced_data_size += access.referenced_data_size;
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}
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key_num_access_map[access.referenced_key][access.caller]++;
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num_referenced_key_exist_in_block++;
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if (referenced_data_size > block_size && block_size != 0) {
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ParsedInternalKey internal_key;
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ParseInternalKey(access.referenced_key, &internal_key);
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}
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} else {
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non_exist_key_num_access_map[access.referenced_key][access.caller]++;
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}
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}
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}
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};
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// Aggregates stats of a block given a block type.
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struct BlockTypeAccessInfoAggregate {
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std::map<std::string, BlockAccessInfo> block_access_info_map;
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};
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// Aggregates BlockTypeAggregate given a SST file.
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struct SSTFileAccessInfoAggregate {
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uint32_t level;
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std::map<TraceType, BlockTypeAccessInfoAggregate> block_type_aggregates_map;
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};
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// Aggregates SSTFileAggregate given a column family.
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struct ColumnFamilyAccessInfoAggregate {
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std::map<uint64_t, SSTFileAccessInfoAggregate> fd_aggregates_map;
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};
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struct Features {
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std::vector<uint64_t> elapsed_time_since_last_access;
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std::vector<uint64_t> num_accesses_since_last_access;
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std::vector<uint64_t> num_past_accesses;
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};
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struct Predictions {
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std::vector<uint64_t> elapsed_time_till_next_access;
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std::vector<uint64_t> num_accesses_till_next_access;
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};
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class BlockCacheTraceAnalyzer {
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public:
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BlockCacheTraceAnalyzer(
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const std::string& trace_file_path, const std::string& output_dir,
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const std::string& human_readable_trace_file_path,
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bool compute_reuse_distance, bool mrc_only,
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bool is_human_readable_trace_file,
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std::unique_ptr<BlockCacheTraceSimulator>&& cache_simulator);
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~BlockCacheTraceAnalyzer() = default;
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// No copy and move.
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BlockCacheTraceAnalyzer(const BlockCacheTraceAnalyzer&) = delete;
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BlockCacheTraceAnalyzer& operator=(const BlockCacheTraceAnalyzer&) = delete;
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BlockCacheTraceAnalyzer(BlockCacheTraceAnalyzer&&) = delete;
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BlockCacheTraceAnalyzer& operator=(BlockCacheTraceAnalyzer&&) = delete;
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// Read all access records in the given trace_file, maintains the stats of
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// a block, and aggregates the information by block type, sst file, and column
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// family. Subsequently, the caller may call Print* functions to print
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// statistics.
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Status Analyze();
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// Print a summary of statistics of the trace, e.g.,
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// Number of files: 2 Number of blocks: 50 Number of accesses: 50
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// Number of Index blocks: 10
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// Number of Filter blocks: 10
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// Number of Data blocks: 10
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// Number of UncompressionDict blocks: 10
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// Number of RangeDeletion blocks: 10
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// ***************************************************************
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// Caller Get: Number of accesses 10
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// Caller Get: Number of accesses per level break down
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// Level 0: Number of accesses: 10
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// Caller Get: Number of accesses per block type break down
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// Block Type Index: Number of accesses: 2
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// Block Type Filter: Number of accesses: 2
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// Block Type Data: Number of accesses: 2
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// Block Type UncompressionDict: Number of accesses: 2
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// Block Type RangeDeletion: Number of accesses: 2
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void PrintStatsSummary() const;
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// Print block size distribution and the distribution break down by block type
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// and column family.
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void PrintBlockSizeStats() const;
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// Print access count distribution and the distribution break down by block
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// type and column family.
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void PrintAccessCountStats(bool user_access_only, uint32_t bottom_k,
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uint32_t top_k) const;
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// Print data block accesses by user Get and Multi-Get.
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// It prints out 1) A histogram on the percentage of keys accessed in a data
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// block break down by if a referenced key exists in the data block andthe
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// histogram break down by column family. 2) A histogram on the percentage of
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// accesses on keys exist in a data block and its break down by column family.
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void PrintDataBlockAccessStats() const;
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// Write the percentage of accesses break down by column family into a csv
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// file saved in 'output_dir'.
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//
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// The file is named "percentage_of_accesses_summary". The file format is
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// caller,cf_0,cf_1,...,cf_n where the cf_i is the column family name found in
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// the trace.
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void WritePercentAccessSummaryStats() const;
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// Write the percentage of accesses for the given caller break down by column
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// family, level, and block type into a csv file saved in 'output_dir'.
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//
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// It generates two files: 1) caller_level_percentage_of_accesses_summary and
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// 2) caller_bt_percentage_of_accesses_summary which break down by the level
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// and block type, respectively. The file format is
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// level/bt,cf_0,cf_1,...,cf_n where cf_i is the column family name found in
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// the trace.
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void WriteDetailedPercentAccessSummaryStats(TableReaderCaller caller) const;
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// Write the access count summary into a csv file saved in 'output_dir'.
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// It groups blocks by their access count.
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//
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// It generates two files: 1) cf_access_count_summary and 2)
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// bt_access_count_summary which break down the access count by column family
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// and block type, respectively. The file format is
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// cf/bt,bucket_0,bucket_1,...,bucket_N.
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void WriteAccessCountSummaryStats(
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const std::vector<uint64_t>& access_count_buckets,
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bool user_access_only) const;
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// Write miss ratio curves of simulated cache configurations into a csv file
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// named "mrc" saved in 'output_dir'.
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//
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// The file format is
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// "cache_name,num_shard_bits,capacity,miss_ratio,total_accesses".
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void WriteMissRatioCurves() const;
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// Write miss ratio timeline of simulated cache configurations into several
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// csv files, one per cache capacity saved in 'output_dir'.
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//
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// The file format is
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// "time,label_1_access_per_second,label_2_access_per_second,...,label_N_access_per_second"
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// where N is the number of unique cache names
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// (cache_name+num_shard_bits+ghost_capacity).
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void WriteMissRatioTimeline(uint64_t time_unit) const;
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// Write misses timeline of simulated cache configurations into several
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// csv files, one per cache capacity saved in 'output_dir'.
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//
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// The file format is
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// "time,label_1_access_per_second,label_2_access_per_second,...,label_N_access_per_second"
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// where N is the number of unique cache names
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// (cache_name+num_shard_bits+ghost_capacity).
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void WriteMissTimeline(uint64_t time_unit) const;
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// Write the access timeline into a csv file saved in 'output_dir'.
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//
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// The file is named "label_access_timeline".The file format is
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// "time,label_1_access_per_second,label_2_access_per_second,...,label_N_access_per_second"
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// where N is the number of unique labels found in the trace.
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void WriteAccessTimeline(const std::string& label, uint64_t time_unit,
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bool user_access_only) const;
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// Write the reuse distance into a csv file saved in 'output_dir'. Reuse
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// distance is defined as the cumulated size of unique blocks read between two
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// consective accesses on the same block.
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//
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// The file is named "label_reuse_distance". The file format is
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// bucket,label_1,label_2,...,label_N.
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void WriteReuseDistance(const std::string& label_str,
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const std::vector<uint64_t>& distance_buckets) const;
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// Write the reuse interval into a csv file saved in 'output_dir'. Reuse
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// interval is defined as the time between two consecutive accesses on the
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// same block.
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//
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// The file is named "label_reuse_interval". The file format is
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// bucket,label_1,label_2,...,label_N.
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void WriteReuseInterval(const std::string& label_str,
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const std::vector<uint64_t>& time_buckets) const;
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// Write the reuse lifetime into a csv file saved in 'output_dir'. Reuse
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// lifetime is defined as the time interval between the first access of a
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// block and its last access.
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//
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// The file is named "label_reuse_lifetime". The file format is
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// bucket,label_1,label_2,...,label_N.
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void WriteReuseLifetime(const std::string& label_str,
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const std::vector<uint64_t>& time_buckets) const;
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// Write the reuse timeline into a csv file saved in 'output_dir'.
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//
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// The file is named
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// "block_type_user_access_only_reuse_window_reuse_timeline". The file format
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// is start_time,0,1,...,N where N equals trace_duration / reuse_window.
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void WriteBlockReuseTimeline(const uint64_t reuse_window, bool user_access_only,
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TraceType block_type) const;
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// Write the Get spatical locality into csv files saved in 'output_dir'.
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//
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// It generates three csv files. label_percent_ref_keys,
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// label_percent_accesses_on_ref_keys, and
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// label_percent_data_size_on_ref_keys.
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void WriteGetSpatialLocality(
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const std::string& label_str,
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const std::vector<uint64_t>& percent_buckets) const;
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void WriteCorrelationFeatures(const std::string& label_str,
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uint32_t max_number_of_values) const;
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void WriteCorrelationFeaturesForGet(uint32_t max_number_of_values) const;
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void WriteSkewness(const std::string& label_str,
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const std::vector<uint64_t>& percent_buckets,
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TraceType target_block_type) const;
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const std::map<std::string, ColumnFamilyAccessInfoAggregate>&
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TEST_cf_aggregates_map() const {
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return cf_aggregates_map_;
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}
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private:
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std::set<std::string> ParseLabelStr(const std::string& label_str) const;
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std::string BuildLabel(const std::set<std::string>& labels,
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const std::string& cf_name, uint64_t fd,
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uint32_t level, TraceType type,
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TableReaderCaller caller, uint64_t block_key,
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const BlockAccessInfo& block) const;
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void ComputeReuseDistance(BlockAccessInfo* info) const;
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Status RecordAccess(const BlockCacheTraceRecord& access);
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void UpdateReuseIntervalStats(
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const std::string& label, const std::vector<uint64_t>& time_buckets,
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const std::map<uint64_t, uint64_t> timeline,
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std::map<std::string, std::map<uint64_t, uint64_t>>*
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label_time_num_reuses,
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uint64_t* total_num_reuses) const;
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std::string OutputPercentAccessStats(
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uint64_t total_accesses,
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const std::map<std::string, uint64_t>& cf_access_count) const;
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void WriteStatsToFile(
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const std::string& label_str, const std::vector<uint64_t>& time_buckets,
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const std::string& filename_suffix,
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const std::map<std::string, std::map<uint64_t, uint64_t>>& label_data,
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uint64_t ntotal) const;
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void TraverseBlocks(
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std::function<void(const std::string& /*cf_name*/, uint64_t /*fd*/,
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uint32_t /*level*/, TraceType /*block_type*/,
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const std::string& /*block_key*/,
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uint64_t /*block_key_id*/,
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const BlockAccessInfo& /*block_access_info*/)>
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block_callback,
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std::set<std::string>* labels = nullptr) const;
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void UpdateFeatureVectors(
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const std::vector<uint64_t>& access_sequence_number_timeline,
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const std::vector<uint64_t>& access_timeline, const std::string& label,
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std::map<std::string, Features>* label_features,
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std::map<std::string, Predictions>* label_predictions) const;
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void WriteCorrelationFeaturesToFile(
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const std::string& label,
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const std::map<std::string, Features>& label_features,
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const std::map<std::string, Predictions>& label_predictions,
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uint32_t max_number_of_values) const;
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ROCKSDB_NAMESPACE::Env* env_;
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const std::string trace_file_path_;
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const std::string output_dir_;
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std::string human_readable_trace_file_path_;
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const bool compute_reuse_distance_;
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const bool mrc_only_;
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const bool is_human_readable_trace_file_;
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BlockCacheTraceHeader header_;
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std::unique_ptr<BlockCacheTraceSimulator> cache_simulator_;
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std::map<std::string, ColumnFamilyAccessInfoAggregate> cf_aggregates_map_;
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std::map<std::string, BlockAccessInfo*> block_info_map_;
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std::unordered_map<std::string, GetKeyInfo> get_key_info_map_;
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uint64_t access_sequence_number_ = 0;
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uint64_t trace_start_timestamp_in_seconds_ = 0;
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uint64_t trace_end_timestamp_in_seconds_ = 0;
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MissRatioStats miss_ratio_stats_;
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uint64_t unique_block_id_ = 1;
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uint64_t unique_get_key_id_ = 1;
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BlockCacheHumanReadableTraceWriter human_readable_trace_writer_;
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};
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int block_cache_trace_analyzer_tool(int argc, char** argv);
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} // namespace ROCKSDB_NAMESPACE
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