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rocksdb/include/rocksdb/advanced_options.h

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// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
// This source code is licensed under both the GPLv2 (found in the
// COPYING file in the root directory) and Apache 2.0 License
// (found in the LICENSE.Apache file in the root directory).
// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file. See the AUTHORS file for names of contributors.
#pragma once
#include <memory>
#include "rocksdb/cache.h"
#include "rocksdb/compression_type.h"
#include "rocksdb/memtablerep.h"
#include "rocksdb/universal_compaction.h"
namespace ROCKSDB_NAMESPACE {
class Slice;
class SliceTransform;
class TablePropertiesCollectorFactory;
class TableFactory;
struct Options;
enum CompactionStyle : char {
// level based compaction style
kCompactionStyleLevel = 0x0,
// Universal compaction style
// Not supported in ROCKSDB_LITE.
kCompactionStyleUniversal = 0x1,
// FIFO compaction style
// Not supported in ROCKSDB_LITE
kCompactionStyleFIFO = 0x2,
// Disable background compaction. Compaction jobs are submitted
// via CompactFiles().
// Not supported in ROCKSDB_LITE
kCompactionStyleNone = 0x3,
};
// In Level-based compaction, it Determines which file from a level to be
// picked to merge to the next level. We suggest people try
// kMinOverlappingRatio first when you tune your database.
enum CompactionPri : char {
// Slightly prioritize larger files by size compensated by #deletes
kByCompensatedSize = 0x0,
// First compact files whose data's latest update time is oldest.
// Try this if you only update some hot keys in small ranges.
kOldestLargestSeqFirst = 0x1,
// First compact files whose range hasn't been compacted to the next level
// for the longest. If your updates are random across the key space,
// write amplification is slightly better with this option.
kOldestSmallestSeqFirst = 0x2,
// First compact files whose ratio between overlapping size in next level
// and its size is the smallest. It in many cases can optimize write
// amplification.
kMinOverlappingRatio = 0x3,
// Keeps a cursor(s) of the successor of the file (key range) was/were
// compacted before, and always picks the next files (key range) in that
// level. The file picking process will cycle through all the files in a
// round-robin manner.
kRoundRobin = 0x4,
};
struct CompactionOptionsFIFO {
// once the total sum of table files reaches this, we will delete the oldest
// table file
// Default: 1GB
uint64_t max_table_files_size;
// If true, try to do compaction to compact smaller files into larger ones.
// Minimum files to compact follows options.level0_file_num_compaction_trigger
// and compaction won't trigger if average compact bytes per del file is
// larger than options.write_buffer_size. This is to protect large files
// from being compacted again.
// Default: false;
bool allow_compaction = false;
// When not 0, if the data in the file is older than this threshold, RocksDB
// will soon move the file to warm temperature.
uint64_t age_for_warm = 0;
CompactionOptionsFIFO() : max_table_files_size(1 * 1024 * 1024 * 1024) {}
CompactionOptionsFIFO(uint64_t _max_table_files_size, bool _allow_compaction)
: max_table_files_size(_max_table_files_size),
allow_compaction(_allow_compaction) {}
};
// Compression options for different compression algorithms like Zlib
struct CompressionOptions {
// RocksDB's generic default compression level. Internally it'll be translated
// to the default compression level specific to the library being used (see
// comment above `ColumnFamilyOptions::compression`).
//
// The default value is the max 16-bit int as it'll be written out in OPTIONS
// file, which should be portable.
const static int kDefaultCompressionLevel = 32767;
int window_bits;
int level;
int strategy;
// Maximum size of dictionaries used to prime the compression library.
// Enabling dictionary can improve compression ratios when there are
// repetitions across data blocks.
//
// The dictionary is created by sampling the SST file data. If
// `zstd_max_train_bytes` is nonzero, the samples are passed through zstd's
// dictionary generator (see comments for option `use_zstd_dict_trainer` for
// detail on dictionary generator). If `zstd_max_train_bytes` is zero, the
// random samples are used directly as the dictionary.
//
// When compression dictionary is disabled, we compress and write each block
// before buffering data for the next one. When compression dictionary is
// enabled, we buffer SST file data in-memory so we can sample it, as data
// can only be compressed and written after the dictionary has been finalized.
//
// The amount of data buffered can be limited by `max_dict_buffer_bytes`. This
// buffered memory is charged to the block cache when there is a block cache.
// If block cache insertion fails with `Status::MemoryLimit` (i.e., it is
// full), we finalize the dictionary with whatever data we have and then stop
// buffering.
//
// Default: 0.
uint32_t max_dict_bytes;
// Maximum size of training data passed to zstd's dictionary trainer. Using
// zstd's dictionary trainer can achieve even better compression ratio
// improvements than using `max_dict_bytes` alone.
//
// The training data will be used to generate a dictionary of max_dict_bytes.
//
// Default: 0.
uint32_t zstd_max_train_bytes;
// Number of threads for parallel compression.
// Parallel compression is enabled only if threads > 1.
// THE FEATURE IS STILL EXPERIMENTAL
//
// This option is valid only when BlockBasedTable is used.
//
// When parallel compression is enabled, SST size file sizes might be
// more inflated compared to the target size, because more data of unknown
// compressed size is in flight when compression is parallelized. To be
// reasonably accurate, this inflation is also estimated by using historical
// compression ratio and current bytes inflight.
//
// Default: 1.
uint32_t parallel_threads;
// When the compression options are set by the user, it will be set to "true".
// For bottommost_compression_opts, to enable it, user must set enabled=true.
// Otherwise, bottommost compression will use compression_opts as default
// compression options.
//
// For compression_opts, if compression_opts.enabled=false, it is still
// used as compression options for compression process.
//
// Default: false.
bool enabled;
// Limit on data buffering when gathering samples to build a dictionary. Zero
// means no limit. When dictionary is disabled (`max_dict_bytes == 0`),
// enabling this limit (`max_dict_buffer_bytes != 0`) has no effect.
//
// In compaction, the buffering is limited to the target file size (see
// `target_file_size_base` and `target_file_size_multiplier`) even if this
// setting permits more buffering. Since we cannot determine where the file
// should be cut until data blocks are compressed with dictionary, buffering
// more than the target file size could lead to selecting samples that belong
// to a later output SST.
//
// Limiting too strictly may harm dictionary effectiveness since it forces
// RocksDB to pick samples from the initial portion of the output SST, which
// may not be representative of the whole file. Configuring this limit below
// `zstd_max_train_bytes` (when enabled) can restrict how many samples we can
// pass to the dictionary trainer. Configuring it below `max_dict_bytes` can
// restrict the size of the final dictionary.
//
// Default: 0 (unlimited)
uint64_t max_dict_buffer_bytes;
// Use zstd trainer to generate dictionaries. When this option is set to true,
// zstd_max_train_bytes of training data sampled from max_dict_buffer_bytes
// buffered data will be passed to zstd dictionary trainer to generate a
// dictionary of size max_dict_bytes.
//
// When this option is false, zstd's API ZDICT_finalizeDictionary() will be
// called to generate dictionaries. zstd_max_train_bytes of training sampled
// data will be passed to this API. Using this API should save CPU time on
// dictionary training, but the compression ratio may not be as good as using
// a dictionary trainer.
//
// Default: true
bool use_zstd_dict_trainer;
CompressionOptions()
: window_bits(-14),
level(kDefaultCompressionLevel),
strategy(0),
max_dict_bytes(0),
zstd_max_train_bytes(0),
parallel_threads(1),
enabled(false),
max_dict_buffer_bytes(0),
use_zstd_dict_trainer(true) {}
CompressionOptions(int wbits, int _lev, int _strategy,
uint32_t _max_dict_bytes, uint32_t _zstd_max_train_bytes,
uint32_t _parallel_threads, bool _enabled,
uint64_t _max_dict_buffer_bytes,
bool _use_zstd_dict_trainer)
: window_bits(wbits),
level(_lev),
strategy(_strategy),
max_dict_bytes(_max_dict_bytes),
zstd_max_train_bytes(_zstd_max_train_bytes),
parallel_threads(_parallel_threads),
enabled(_enabled),
max_dict_buffer_bytes(_max_dict_buffer_bytes),
use_zstd_dict_trainer(_use_zstd_dict_trainer) {}
};
// Temperature of a file. Used to pass to FileSystem for a different
// placement and/or coding.
// Reserve some numbers in the middle, in case we need to insert new tier
// there.
enum class Temperature : uint8_t {
kUnknown = 0,
kHot = 0x04,
kWarm = 0x08,
kCold = 0x0C,
kLastTemperature,
};
// The control option of how the cache tiers will be used. Currently rocksdb
// support block cache (volatile tier), secondary cache (non-volatile tier).
// In the future, we may add more caching layers.
enum class CacheTier : uint8_t {
kVolatileTier = 0,
kNonVolatileBlockTier = 0x01,
};
enum UpdateStatus { // Return status For inplace update callback
UPDATE_FAILED = 0, // Nothing to update
UPDATED_INPLACE = 1, // Value updated inplace
UPDATED = 2, // No inplace update. Merged value set
};
enum class PrepopulateBlobCache : uint8_t {
kDisable = 0x0, // Disable prepopulate blob cache
kFlushOnly = 0x1, // Prepopulate blobs during flush only
};
struct AdvancedColumnFamilyOptions {
// The maximum number of write buffers that are built up in memory.
// The default and the minimum number is 2, so that when 1 write buffer
// is being flushed to storage, new writes can continue to the other
// write buffer.
// If max_write_buffer_number > 3, writing will be slowed down to
// options.delayed_write_rate if we are writing to the last write buffer
// allowed.
//
// Default: 2
//
// Dynamically changeable through SetOptions() API
int max_write_buffer_number = 2;
// The minimum number of write buffers that will be merged together
// before writing to storage. If set to 1, then
// all write buffers are flushed to L0 as individual files and this increases
// read amplification because a get request has to check in all of these
// files. Also, an in-memory merge may result in writing lesser
// data to storage if there are duplicate records in each of these
// individual write buffers.
// If atomic flush is enabled (options.atomic_flush == true), then this
// option will be sanitized to 1.
// Default: 1
int min_write_buffer_number_to_merge = 1;
// DEPRECATED
// The total maximum number of write buffers to maintain in memory including
// copies of buffers that have already been flushed. Unlike
// max_write_buffer_number, this parameter does not affect flushing.
// This parameter is being replaced by max_write_buffer_size_to_maintain.
// If both parameters are set to non-zero values, this parameter will be
// ignored.
int max_write_buffer_number_to_maintain = 0;
// The target number of write history bytes to hold in memory. Write history
// comprises the latest write buffers (memtables). To reach the target, write
// buffers that were most recently flushed to SST files may be retained in
// memory.
//
// This controls the target amount of write history that will be available
// in memory for conflict checking when Transactions are used.
//
// This target may be undershot when the CF first opens and has not recovered
// or received enough writes to reach the target. After reaching the target
// once, it is guaranteed to never undershoot again. That guarantee is
// implemented by retaining flushed write buffers in-memory until the oldest
// one can be trimmed without dropping below the target.
//
// Examples with `max_write_buffer_size_to_maintain` set to 32MB:
//
// - One mutable memtable of 64MB, one unflushed immutable memtable of 64MB,
// and zero flushed immutable memtables. Nothing trimmable exists.
// - One mutable memtable of 16MB, zero unflushed immutable memtables, and
// one flushed immutable memtable of 64MB. Trimming is disallowed because
// dropping the earliest (only) flushed immutable memtable would result in
// write history of 16MB < 32MB.
// - One mutable memtable of 24MB, one unflushed immutable memtable of 16MB,
// and one flushed immutable memtable of 16MB. The earliest (only) flushed
// immutable memtable is trimmed because without it we still have
// 16MB + 24MB = 40MB > 32MB of write history.
//
// When using an OptimisticTransactionDB:
// If this value is too low, some transactions may fail at commit time due
// to not being able to determine whether there were any write conflicts.
//
// When using a TransactionDB:
// If Transaction::SetSnapshot is used, TransactionDB will read either
// in-memory write buffers or SST files to do write-conflict checking.
// Increasing this value can reduce the number of reads to SST files
// done for conflict detection.
//
// Setting this value to 0 will cause write buffers to be freed immediately
// after they are flushed. If this value is set to -1,
// 'max_write_buffer_number * write_buffer_size' will be used.
//
// Default:
// If using a TransactionDB/OptimisticTransactionDB, the default value will
// be set to the value of 'max_write_buffer_number * write_buffer_size'
// if it is not explicitly set by the user. Otherwise, the default is 0.
int64_t max_write_buffer_size_to_maintain = 0;
// Allows thread-safe inplace updates. If this is true, there is no way to
// achieve point-in-time consistency using snapshot or iterator (assuming
// concurrent updates). Hence iterator and multi-get will return results
// which are not consistent as of any point-in-time.
// Backward iteration on memtables will not work either.
// If inplace_callback function is not set,
// Put(key, new_value) will update inplace the existing_value iff
// * key exists in current memtable
// * new sizeof(new_value) <= sizeof(existing_value)
// * existing_value for that key is a put i.e. kTypeValue
// If inplace_callback function is set, check doc for inplace_callback.
// Default: false.
bool inplace_update_support = false;
// Number of locks used for inplace update
// Default: 10000, if inplace_update_support = true, else 0.
//
// Dynamically changeable through SetOptions() API
size_t inplace_update_num_locks = 10000;
// [experimental]
// Used to activate or deactive the Mempurge feature (memtable garbage
// collection). (deactivated by default). At every flush, the total useful
// payload (total entries minus garbage entries) is estimated as a ratio
// [useful payload bytes]/[size of a memtable (in bytes)]. This ratio is then
// compared to this `threshold` value:
// - if ratio<threshold: the flush is replaced by a mempurge operation
// - else: a regular flush operation takes place.
// Threshold values:
// 0.0: mempurge deactivated (default).
// 1.0: recommended threshold value.
// >1.0 : aggressive mempurge.
// 0 < threshold < 1.0: mempurge triggered only for very low useful payload
// ratios.
// [experimental]
double experimental_mempurge_threshold = 0.0;
// existing_value - pointer to previous value (from both memtable and sst).
// nullptr if key doesn't exist
// existing_value_size - pointer to size of existing_value).
// nullptr if key doesn't exist
// delta_value - Delta value to be merged with the existing_value.
// Stored in transaction logs.
// merged_value - Set when delta is applied on the previous value.
//
// Applicable only when inplace_update_support is true,
// this callback function is called at the time of updating the memtable
// as part of a Put operation, lets say Put(key, delta_value). It allows the
// 'delta_value' specified as part of the Put operation to be merged with
// an 'existing_value' of the key in the database.
//
// If the merged value is smaller in size that the 'existing_value',
// then this function can update the 'existing_value' buffer inplace and
// the corresponding 'existing_value'_size pointer, if it wishes to.
// The callback should return UpdateStatus::UPDATED_INPLACE.
// In this case. (In this case, the snapshot-semantics of the rocksdb
// Iterator is not atomic anymore).
//
// If the merged value is larger in size than the 'existing_value' or the
// application does not wish to modify the 'existing_value' buffer inplace,
// then the merged value should be returned via *merge_value. It is set by
// merging the 'existing_value' and the Put 'delta_value'. The callback should
// return UpdateStatus::UPDATED in this case. This merged value will be added
// to the memtable.
//
// If merging fails or the application does not wish to take any action,
// then the callback should return UpdateStatus::UPDATE_FAILED.
//
// Please remember that the original call from the application is Put(key,
// delta_value). So the transaction log (if enabled) will still contain (key,
// delta_value). The 'merged_value' is not stored in the transaction log.
// Hence the inplace_callback function should be consistent across db reopens.
//
// RocksDB callbacks are NOT exception-safe. A callback completing with an
// exception can lead to undefined behavior in RocksDB, including data loss,
// unreported corruption, deadlocks, and more.
//
// Default: nullptr
UpdateStatus (*inplace_callback)(char* existing_value,
uint32_t* existing_value_size,
Slice delta_value,
std::string* merged_value) = nullptr;
// Should really be called `memtable_bloom_size_ratio`. Enables a dynamic
// Bloom filter in memtable to optimize many queries that must go beyond
// the memtable. The size in bytes of the filter is
// write_buffer_size * memtable_prefix_bloom_size_ratio.
// * If prefix_extractor is set, the filter includes prefixes.
// * If memtable_whole_key_filtering, the filter includes whole keys.
// * If both, the filter includes both.
// * If neither, the feature is disabled.
//
// If this value is larger than 0.25, it is sanitized to 0.25.
//
// Default: 0 (disabled)
//
// Dynamically changeable through SetOptions() API
double memtable_prefix_bloom_size_ratio = 0.0;
// Enable whole key bloom filter in memtable. Note this will only take effect
// if memtable_prefix_bloom_size_ratio is not 0. Enabling whole key filtering
// can potentially reduce CPU usage for point-look-ups.
//
// Default: false (disabled)
//
// Dynamically changeable through SetOptions() API
bool memtable_whole_key_filtering = false;
// Page size for huge page for the arena used by the memtable. If <=0, it
// won't allocate from huge page but from malloc.
// Users are responsible to reserve huge pages for it to be allocated. For
// example:
// sysctl -w vm.nr_hugepages=20
// See linux doc Documentation/vm/hugetlbpage.txt
// If there isn't enough free huge page available, it will fall back to
// malloc.
//
// Dynamically changeable through SetOptions() API
size_t memtable_huge_page_size = 0;
// If non-nullptr, memtable will use the specified function to extract
// prefixes for keys, and for each prefix maintain a hint of insert location
// to reduce CPU usage for inserting keys with the prefix. Keys out of
// domain of the prefix extractor will be insert without using hints.
//
// Currently only the default skiplist based memtable implements the feature.
// All other memtable implementation will ignore the option. It incurs ~250
// additional bytes of memory overhead to store a hint for each prefix.
// Also concurrent writes (when allow_concurrent_memtable_write is true) will
// ignore the option.
//
// The option is best suited for workloads where keys will likely to insert
// to a location close the last inserted key with the same prefix.
// One example could be inserting keys of the form (prefix + timestamp),
// and keys of the same prefix always comes in with time order. Another
// example would be updating the same key over and over again, in which case
// the prefix can be the key itself.
//
// Default: nullptr (disabled)
std::shared_ptr<const SliceTransform>
memtable_insert_with_hint_prefix_extractor = nullptr;
// Control locality of bloom filter probes to improve CPU cache hit rate.
// This option now only applies to plaintable prefix bloom. This
// optimization is turned off when set to 0, and positive number to turn
// it on.
// Default: 0
uint32_t bloom_locality = 0;
// size of one block in arena memory allocation.
// If <= 0, a proper value is automatically calculated (usually 1/8 of
// writer_buffer_size, rounded up to a multiple of 4KB, or 1MB which ever is
// smaller).
//
// There are two additional restriction of the specified size:
// (1) size should be in the range of [4096, 2 << 30] and
// (2) be the multiple of the CPU word (which helps with the memory
// alignment).
//
// We'll automatically check and adjust the size number to make sure it
// conforms to the restrictions.
//
// Default: 0
//
// Dynamically changeable through SetOptions() API
size_t arena_block_size = 0;
// Different levels can have different compression policies. There
// are cases where most lower levels would like to use quick compression
// algorithms while the higher levels (which have more data) use
// compression algorithms that have better compression but could
// be slower. This array, if non-empty, should have an entry for
// each level of the database; these override the value specified in
// the previous field 'compression'.
//
// NOTICE if level_compaction_dynamic_level_bytes=true,
// compression_per_level[0] still determines L0, but other elements
// of the array are based on base level (the level L0 files are merged
// to), and may not match the level users see from info log for metadata.
// If L0 files are merged to level-n, then, for i>0, compression_per_level[i]
// determines compaction type for level n+i-1.
// For example, if we have three 5 levels, and we determine to merge L0
// data to L4 (which means L1..L3 will be empty), then the new files go to
// L4 uses compression type compression_per_level[1].
// If now L0 is merged to L2. Data goes to L2 will be compressed
// according to compression_per_level[1], L3 using compression_per_level[2]
// and L4 using compression_per_level[3]. Compaction for each level can
// change when data grows.
//
// NOTE: if the vector size is smaller than the level number, the undefined
// lower level uses the last option in the vector, for example, for 3 level
// LSM tree the following settings are the same:
// {kNoCompression, kSnappyCompression}
// {kNoCompression, kSnappyCompression, kSnappyCompression}
//
// Dynamically changeable through SetOptions() API
std::vector<CompressionType> compression_per_level;
// Number of levels for this database
int num_levels = 7;
// Soft limit on number of level-0 files. We start slowing down writes at this
// point. A value <0 means that no writing slow down will be triggered by
// number of files in level-0.
//
// Default: 20
//
// Dynamically changeable through SetOptions() API
int level0_slowdown_writes_trigger = 20;
// Maximum number of level-0 files. We stop writes at this point.
//
// Default: 36
//
// Dynamically changeable through SetOptions() API
int level0_stop_writes_trigger = 36;
// Target file size for compaction.
// target_file_size_base is per-file size for level-1.
// Target file size for level L can be calculated by
// target_file_size_base * (target_file_size_multiplier ^ (L-1))
// For example, if target_file_size_base is 2MB and
// target_file_size_multiplier is 10, then each file on level-1 will
// be 2MB, and each file on level 2 will be 20MB,
// and each file on level-3 will be 200MB.
//
// Default: 64MB.
//
// Dynamically changeable through SetOptions() API
uint64_t target_file_size_base = 64 * 1048576;
// By default target_file_size_multiplier is 1, which means
// by default files in different levels will have similar size.
//
// Dynamically changeable through SetOptions() API
int target_file_size_multiplier = 1;
// If true, RocksDB will pick target size of each level dynamically.
// We will pick a base level b >= 1. L0 will be directly merged into level b,
// instead of always into level 1. Level 1 to b-1 need to be empty.
// We try to pick b and its target size so that
// 1. target size is in the range of
// (max_bytes_for_level_base / max_bytes_for_level_multiplier,
// max_bytes_for_level_base]
// 2. target size of the last level (level num_levels-1) equals to extra size
// of the level.
// At the same time max_bytes_for_level_multiplier and
// max_bytes_for_level_multiplier_additional are still satisfied.
// (When L0 is too large, we make some adjustment. See below.)
//
// With this option on, from an empty DB, we make last level the base level,
// which means merging L0 data into the last level, until it exceeds
// max_bytes_for_level_base. And then we make the second last level to be
// base level, to start to merge L0 data to second last level, with its
// target size to be 1/max_bytes_for_level_multiplier of the last level's
// extra size. After the data accumulates more so that we need to move the
// base level to the third last one, and so on.
//
// For example, assume max_bytes_for_level_multiplier=10, num_levels=6,
// and max_bytes_for_level_base=10MB.
// Target sizes of level 1 to 5 starts with:
// [- - - - 10MB]
// with base level is level. Target sizes of level 1 to 4 are not applicable
// because they will not be used.
// Until the size of Level 5 grows to more than 10MB, say 11MB, we make
// base target to level 4 and now the targets looks like:
// [- - - 1.1MB 11MB]
// While data are accumulated, size targets are tuned based on actual data
// of level 5. When level 5 has 50MB of data, the target is like:
// [- - - 5MB 50MB]
// Until level 5's actual size is more than 100MB, say 101MB. Now if we keep
// level 4 to be the base level, its target size needs to be 10.1MB, which
// doesn't satisfy the target size range. So now we make level 3 the target
// size and the target sizes of the levels look like:
// [- - 1.01MB 10.1MB 101MB]
// In the same way, while level 5 further grows, all levels' targets grow,
// like
// [- - 5MB 50MB 500MB]
// Until level 5 exceeds 1000MB and becomes 1001MB, we make level 2 the
// base level and make levels' target sizes like this:
// [- 1.001MB 10.01MB 100.1MB 1001MB]
// and go on...
//
// By doing it, we give max_bytes_for_level_multiplier a priority against
// max_bytes_for_level_base, for a more predictable LSM tree shape. It is
// useful to limit worse case space amplification.
//
//
// If the compaction from L0 is lagged behind, a special mode will be turned
// on to prioritize write amplification against max_bytes_for_level_multiplier
// or max_bytes_for_level_base. The L0 compaction is lagged behind by looking
// at number of L0 files and total L0 size. If number of L0 files is at least
// the double of level0_file_num_compaction_trigger, or the total size is
// at least max_bytes_for_level_base, this mode is on. The target of L1 grows
// to the actual data size in L0, and then determine the target for each level
// so that each level will have the same level multiplier.
//
// For example, when L0 size is 100MB, the size of last level is 1600MB,
// max_bytes_for_level_base = 80MB, and max_bytes_for_level_multiplier = 10.
// Since L0 size is larger than max_bytes_for_level_base, this is a L0
// compaction backlogged mode. So that the L1 size is determined to be 100MB.
// Based on max_bytes_for_level_multiplier = 10, at least 3 non-0 levels will
// be needed. The level multiplier will be calculated to be 4 and the three
// levels' target to be [100MB, 400MB, 1600MB].
//
// In this mode, The number of levels will be no more than the normal mode,
// and the level multiplier will be lower. The write amplification will
// likely to be reduced.
//
//
// max_bytes_for_level_multiplier_additional is ignored with this flag on.
//
// Turning this feature on or off for an existing DB can cause unexpected
// LSM tree structure so it's not recommended.
//
// Default: false
bool level_compaction_dynamic_level_bytes = false;
// Allows RocksDB to generate files that are not exactly the target_file_size
// only for the non-bottommost files. Which can reduce the write-amplification
// from compaction. The file size could be from 0 to 2x target_file_size.
// Once enabled, non-bottommost compaction will try to cut the files align
// with the next level file boundaries (grandparent level).
//
// Default: true
bool level_compaction_dynamic_file_size = true;
// Default: 10.
//
// Dynamically changeable through SetOptions() API
double max_bytes_for_level_multiplier = 10;
// Different max-size multipliers for different levels.
// These are multiplied by max_bytes_for_level_multiplier to arrive
// at the max-size of each level.
//
// Default: 1
//
// Dynamically changeable through SetOptions() API
std::vector<int> max_bytes_for_level_multiplier_additional =
std::vector<int>(num_levels, 1);
// We try to limit number of bytes in one compaction to be lower than this
// threshold. But it's not guaranteed.
// Value 0 will be sanitized.
//
// Default: target_file_size_base * 25
//
// Dynamically changeable through SetOptions() API
uint64_t max_compaction_bytes = 0;
// When setting up compaction input files, we ignore the
// `max_compaction_bytes` limit when pulling in input files that are entirely
// within output key range.
//
// Default: true
//
// Dynamically changeable through SetOptions() API
// We could remove this knob and always ignore the limit once it is proven
// safe.
bool ignore_max_compaction_bytes_for_input = true;
// All writes will be slowed down to at least delayed_write_rate if estimated
// bytes needed to be compaction exceed this threshold.
//
// Default: 64GB
//
// Dynamically changeable through SetOptions() API
uint64_t soft_pending_compaction_bytes_limit = 64 * 1073741824ull;
// All writes are stopped if estimated bytes needed to be compaction exceed
// this threshold.
//
// Default: 256GB
//
// Dynamically changeable through SetOptions() API
uint64_t hard_pending_compaction_bytes_limit = 256 * 1073741824ull;
// The compaction style. Default: kCompactionStyleLevel
CompactionStyle compaction_style = kCompactionStyleLevel;
// If level compaction_style = kCompactionStyleLevel, for each level,
// which files are prioritized to be picked to compact.
// Default: kMinOverlappingRatio
CompactionPri compaction_pri = kMinOverlappingRatio;
// The options needed to support Universal Style compactions
//
// Dynamically changeable through SetOptions() API
// Dynamic change example:
// SetOptions("compaction_options_universal", "{size_ratio=2;}")
CompactionOptionsUniversal compaction_options_universal;
// The options for FIFO compaction style
//
// Dynamically changeable through SetOptions() API
// Dynamic change example:
// SetOptions("compaction_options_fifo", "{max_table_files_size=100;}")
CompactionOptionsFIFO compaction_options_fifo;
// An iteration->Next() sequentially skips over keys with the same
// user-key unless this option is set. This number specifies the number
// of keys (with the same userkey) that will be sequentially
// skipped before a reseek is issued.
//
// Default: 8
//
// Dynamically changeable through SetOptions() API
uint64_t max_sequential_skip_in_iterations = 8;
// This is a factory that provides MemTableRep objects.
// Default: a factory that provides a skip-list-based implementation of
// MemTableRep.
std::shared_ptr<MemTableRepFactory> memtable_factory =
std::shared_ptr<SkipListFactory>(new SkipListFactory);
// Block-based table related options are moved to BlockBasedTableOptions.
// Related options that were originally here but now moved include:
// no_block_cache
// block_cache
// block_cache_compressed
// block_size
// block_size_deviation
// block_restart_interval
// filter_policy
// whole_key_filtering
// If you'd like to customize some of these options, you will need to
// use NewBlockBasedTableFactory() to construct a new table factory.
// This option allows user to collect their own interested statistics of
// the tables.
// Default: empty vector -- no user-defined statistics collection will be
// performed.
using TablePropertiesCollectorFactories =
std::vector<std::shared_ptr<TablePropertiesCollectorFactory>>;
TablePropertiesCollectorFactories table_properties_collector_factories;
// Maximum number of successive merge operations on a key in the memtable.
//
// When a merge operation is added to the memtable and the maximum number of
// successive merges is reached, the value of the key will be calculated and
// inserted into the memtable instead of the merge operation. This will
// ensure that there are never more than max_successive_merges merge
// operations in the memtable.
//
// Default: 0 (disabled)
//
// Dynamically changeable through SetOptions() API
size_t max_successive_merges = 0;
// This flag specifies that the implementation should optimize the filters
// mainly for cases where keys are found rather than also optimize for keys
// missed. This would be used in cases where the application knows that
// there are very few misses or the performance in the case of misses is not
// important.
//
// For now, this flag allows us to not store filters for the last level i.e
// the largest level which contains data of the LSM store. For keys which
// are hits, the filters in this level are not useful because we will search
// for the data anyway. NOTE: the filters in other levels are still useful
// even for key hit because they tell us whether to look in that level or go
// to the higher level.
//
// Default: false
bool optimize_filters_for_hits = false;
// During flush or compaction, check whether keys inserted to output files
// are in order.
//
// Default: true
//
// Dynamically changeable through SetOptions() API
bool check_flush_compaction_key_order = true;
// After writing every SST file, reopen it and read all the keys.
// Checks the hash of all of the keys and values written versus the
// keys in the file and signals a corruption if they do not match
//
// Default: false
//
// Dynamically changeable through SetOptions() API
bool paranoid_file_checks = false;
// In debug mode, RocksDB runs consistency checks on the LSM every time the
// LSM changes (Flush, Compaction, AddFile). When this option is true, these
// checks are also enabled in release mode. These checks were historically
// disabled in release mode, but are now enabled by default for proactive
// corruption detection. The CPU overhead is negligible for normal mixed
// operations but can slow down saturated writing. See
// Options::DisableExtraChecks().
// Default: true
bool force_consistency_checks = true;
// Measure IO stats in compactions and flushes, if true.
//
// Default: false
//
// Dynamically changeable through SetOptions() API
bool report_bg_io_stats = false;
// Files containing updates older than TTL will go through the compaction
// process. This usually happens in a cascading way so that those entries
// will be compacted to bottommost level/file.
// The feature is used to remove stale entries that have been deleted or
// updated from the file system.
// Pre-req: This needs max_open_files to be set to -1.
// In Level: Non-bottom-level files older than TTL will go through the
// compaction process.
// In FIFO: Files older than TTL will be deleted.
// unit: seconds. Ex: 1 day = 1 * 24 * 60 * 60
// In FIFO, this option will have the same meaning as
// periodic_compaction_seconds. Whichever stricter will be used.
// 0 means disabling.
// UINT64_MAX - 1 (0xfffffffffffffffe) is special flag to allow RocksDB to
// pick default.
//
// Default: 30 days for leveled compaction + block based table. disable
// otherwise.
//
// Dynamically changeable through SetOptions() API
uint64_t ttl = 0xfffffffffffffffe;
// Files older than this value will be picked up for compaction, and
// re-written to the same level as they were before.
// One main use of the feature is to make sure a file goes through compaction
// filters periodically. Users can also use the feature to clear up SST
// files using old format.
//
// A file's age is computed by looking at file_creation_time or creation_time
// table properties in order, if they have valid non-zero values; if not, the
// age is based on the file's last modified time (given by the underlying
// Env).
//
// Supported in Level and FIFO compaction.
// In FIFO compaction, this option has the same meaning as TTL and whichever
// stricter will be used.
// Pre-req: max_open_file == -1.
// unit: seconds. Ex: 7 days = 7 * 24 * 60 * 60
//
// Values:
// 0: Turn off Periodic compactions.
// UINT64_MAX - 1 (i.e 0xfffffffffffffffe): Let RocksDB control this feature
// as needed. For now, RocksDB will change this value to 30 days
// (i.e 30 * 24 * 60 * 60) so that every file goes through the compaction
// process at least once every 30 days if not compacted sooner.
// In FIFO compaction, since the option has the same meaning as ttl,
// when this value is left default, and ttl is left to 0, 30 days will be
// used. Otherwise, min(ttl, periodic_compaction_seconds) will be used.
//
// Default: UINT64_MAX - 1 (allow RocksDB to auto-tune)
//
// Dynamically changeable through SetOptions() API
uint64_t periodic_compaction_seconds = 0xfffffffffffffffe;
// If this option is set then 1 in N blocks are compressed
// using a fast (lz4) and slow (zstd) compression algorithm.
// The compressibility is reported as stats and the stored
// data is left uncompressed (unless compression is also requested).
uint64_t sample_for_compression = 0;
// EXPERIMENTAL
// The feature is still in development and is incomplete.
// If this option is set, when creating the last level files, pass this
// temperature to FileSystem used. Should be no-op for default FileSystem
// and users need to plug in their own FileSystem to take advantage of it.
//
// Note: the feature is changed from `bottommost_temperature` to
// `last_level_temperature` which now only apply for the last level files.
// The option name `bottommost_temperature` is kept only for migration, the
// behavior is the same as `last_level_temperature`. Please stop using
// `bottommost_temperature` and will be removed in next release.
//
// Dynamically changeable through the SetOptions() API
Temperature bottommost_temperature = Temperature::kUnknown;
Temperature last_level_temperature = Temperature::kUnknown;
// EXPERIMENTAL
// The feature is still in development and is incomplete.
// If this option is set, when data insert time is within this time range, it
// will be precluded from the last level.
// 0 means no key will be precluded from the last level.
//
// Note: when enabled, universal size amplification (controlled by option
// `compaction_options_universal.max_size_amplification_percent`) calculation
// will exclude the last level. As the feature is designed for tiered storage
// and a typical setting is the last level is cold tier which is likely not
// size constrained, the size amp is going to be only for non-last levels.
//
// Default: 0 (disable the feature)
//
// Not dynamically changeable, change it requires db restart.
uint64_t preclude_last_level_data_seconds = 0;
// EXPERIMENTAL
// If this option is set, it will preserve the internal time information about
// the data until it's older than the specified time here.
// Internally the time information is a map between sequence number and time,
// which is the same as `preclude_last_level_data_seconds`. But it won't
// preclude the data from the last level and the data in the last level won't
// have the sequence number zeroed out.
// Internally, rocksdb would sample the sequence number to time pair and store
// that in SST property "rocksdb.seqno.time.map". The information is currently
// only used for tiered storage compaction (option
// `preclude_last_level_data_seconds`).
//
// Note: if both `preclude_last_level_data_seconds` and this option is set, it
// will preserve the max time of the 2 options and compaction still preclude
// the data based on `preclude_last_level_data_seconds`.
// The higher the preserve_time is, the less the sampling frequency will be (
// which means less accuracy of the time estimation).
//
// Default: 0 (disable the feature)
//
// Not dynamically changeable, change it requires db restart.
uint64_t preserve_internal_time_seconds = 0;
// When set, large values (blobs) are written to separate blob files, and
// only pointers to them are stored in SST files. This can reduce write
// amplification for large-value use cases at the cost of introducing a level
// of indirection for reads. See also the options min_blob_size,
// blob_file_size, blob_compression_type, enable_blob_garbage_collection,
// blob_garbage_collection_age_cutoff,
// blob_garbage_collection_force_threshold, and blob_compaction_readahead_size
// below.
//
// Default: false
//
// Dynamically changeable through the SetOptions() API
bool enable_blob_files = false;
// The size of the smallest value to be stored separately in a blob file.
// Values which have an uncompressed size smaller than this threshold are
// stored alongside the keys in SST files in the usual fashion. A value of
// zero for this option means that all values are stored in blob files. Note
// that enable_blob_files has to be set in order for this option to have any
// effect.
//
// Default: 0
//
// Dynamically changeable through the SetOptions() API
uint64_t min_blob_size = 0;
// The size limit for blob files. When writing blob files, a new file is
// opened once this limit is reached. Note that enable_blob_files has to be
// set in order for this option to have any effect.
//
// Default: 256 MB
//
// Dynamically changeable through the SetOptions() API
uint64_t blob_file_size = 1ULL << 28;
// The compression algorithm to use for large values stored in blob files.
// Note that enable_blob_files has to be set in order for this option to have
// any effect.
//
// Default: no compression
//
// Dynamically changeable through the SetOptions() API
CompressionType blob_compression_type = kNoCompression;
// Enables garbage collection of blobs. Blob GC is performed as part of
// compaction. Valid blobs residing in blob files older than a cutoff get
// relocated to new files as they are encountered during compaction, which
// makes it possible to clean up blob files once they contain nothing but
// obsolete/garbage blobs. See also blob_garbage_collection_age_cutoff and
// blob_garbage_collection_force_threshold below.
//
// Default: false
//
// Dynamically changeable through the SetOptions() API
bool enable_blob_garbage_collection = false;
// The cutoff in terms of blob file age for garbage collection. Blobs in
// the oldest N blob files will be relocated when encountered during
// compaction, where N = garbage_collection_cutoff * number_of_blob_files.
// Note that enable_blob_garbage_collection has to be set in order for this
// option to have any effect.
//
// Default: 0.25
//
// Dynamically changeable through the SetOptions() API
double blob_garbage_collection_age_cutoff = 0.25;
// If the ratio of garbage in the oldest blob files exceeds this threshold,
// targeted compactions are scheduled in order to force garbage collecting
// the blob files in question, assuming they are all eligible based on the
// value of blob_garbage_collection_age_cutoff above. This option is
// currently only supported with leveled compactions.
// Note that enable_blob_garbage_collection has to be set in order for this
// option to have any effect.
//
// Default: 1.0
//
// Dynamically changeable through the SetOptions() API
double blob_garbage_collection_force_threshold = 1.0;
// Compaction readahead for blob files.
//
// Default: 0
//
// Dynamically changeable through the SetOptions() API
uint64_t blob_compaction_readahead_size = 0;
// Enable blob files starting from a certain LSM tree level.
//
// For certain use cases that have a mix of short-lived and long-lived values,
// it might make sense to support extracting large values only during
// compactions whose output level is greater than or equal to a specified LSM
// tree level (e.g. compactions into L1/L2/... or above). This could reduce
// the space amplification caused by large values that are turned into garbage
// shortly after being written at the price of some write amplification
// incurred by long-lived values whose extraction to blob files is delayed.
//
// Default: 0
//
// Dynamically changeable through the SetOptions() API
int blob_file_starting_level = 0;
// The Cache object to use for blobs. Using a dedicated object for blobs and
// using the same object for the block and blob caches are both supported. In
// the latter case, note that blobs are less valuable from a caching
// perspective than SST blocks, and some cache implementations have
// configuration options that can be used to prioritize items accordingly (see
// Cache::Priority and LRUCacheOptions::{high,low}_pri_pool_ratio).
//
// Default: nullptr (disabled)
std::shared_ptr<Cache> blob_cache = nullptr;
// Enable/disable prepopulating the blob cache. When set to kFlushOnly, BlobDB
// will insert newly written blobs into the blob cache during flush. This can
// improve performance when reading back these blobs would otherwise be
// expensive (e.g. when using direct I/O or remote storage), or when the
// workload has a high temporal locality.
//
// Default: disabled
//
// Dynamically changeable through the SetOptions() API
PrepopulateBlobCache prepopulate_blob_cache = PrepopulateBlobCache::kDisable;
// Enable memtable per key-value checksum protection.
//
// Each entry in memtable will be suffixed by a per key-value checksum.
// This options determines the size of such checksums.
//
// It is suggested to turn on write batch per key-value
// checksum protection together with this option, so that the checksum
// computation is done outside of writer threads (memtable kv checksum can be
// computed from write batch checksum) See
// WriteOptions::protection_bytes_per_key for more detail.
//
// Default: 0 (no protection)
// Supported values: 0, 1, 2, 4, 8.
uint32_t memtable_protection_bytes_per_key = 0;
// Create ColumnFamilyOptions with default values for all fields
AdvancedColumnFamilyOptions();
// Create ColumnFamilyOptions from Options
explicit AdvancedColumnFamilyOptions(const Options& options);
// ---------------- OPTIONS NOT SUPPORTED ANYMORE ----------------
};
} // namespace ROCKSDB_NAMESPACE