rocksdb/util/options.cc

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// Copyright (c) 2013, Facebook, Inc. All rights reserved.
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree. An additional grant
// of patent rights can be found in the PATENTS file in the same 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.
#include "rocksdb/options.h"
#include <limits>
#include "rocksdb/cache.h"
#include "rocksdb/compaction_filter.h"
#include "rocksdb/comparator.h"
#include "rocksdb/env.h"
#include "rocksdb/filter_policy.h"
#include "rocksdb/merge_operator.h"
#include "table/block_based_table_factory.h"
namespace rocksdb {
Options::Options()
: comparator(BytewiseComparator()),
merge_operator(nullptr),
compaction_filter(nullptr),
compaction_filter_factory(
std::shared_ptr<CompactionFilterFactory>(
new DefaultCompactionFilterFactory())),
create_if_missing(false),
error_if_exists(false),
paranoid_checks(false),
env(Env::Default()),
info_log(nullptr),
write_buffer_size(4<<20),
max_write_buffer_number(2),
min_write_buffer_number_to_merge(1),
max_open_files(1000),
block_cache(nullptr),
block_cache_compressed(nullptr),
block_size(4096),
block_restart_interval(16),
compression(kSnappyCompression),
filter_policy(nullptr),
prefix_extractor(nullptr),
whole_key_filtering(true),
num_levels(7),
level0_file_num_compaction_trigger(4),
level0_slowdown_writes_trigger(8),
level0_stop_writes_trigger(12),
max_mem_compaction_level(2),
target_file_size_base(2 * 1048576),
target_file_size_multiplier(1),
max_bytes_for_level_base(10 * 1048576),
max_bytes_for_level_multiplier(10),
max_bytes_for_level_multiplier_additional(num_levels, 1),
expanded_compaction_factor(25),
source_compaction_factor(1),
max_grandparent_overlap_factor(10),
disableDataSync(false),
use_fsync(false),
db_stats_log_interval(1800),
db_log_dir(""),
wal_dir(""),
disable_seek_compaction(false),
delete_obsolete_files_period_micros(6 * 60 * 60 * 1000000UL),
max_background_compactions(1),
max_background_flushes(0),
max_log_file_size(0),
log_file_time_to_roll(0),
keep_log_file_num(1000),
soft_rate_limit(0.0),
hard_rate_limit(0.0),
rate_limit_delay_max_milliseconds(1000),
max_manifest_file_size(std::numeric_limits<uint64_t>::max()),
no_block_cache(false),
table_cache_numshardbits(4),
table_cache_remove_scan_count_limit(16),
arena_block_size(0),
disable_auto_compactions(false),
WAL_ttl_seconds(0),
WAL_size_limit_MB(0),
manifest_preallocation_size(4 * 1024 * 1024),
purge_redundant_kvs_while_flush(true),
allow_os_buffer(true),
allow_mmap_reads(false),
allow_mmap_writes(true),
is_fd_close_on_exec(true),
skip_log_error_on_recovery(false),
stats_dump_period_sec(3600),
block_size_deviation (10),
advise_random_on_open(true),
access_hint_on_compaction_start(NORMAL),
use_adaptive_mutex(false),
bytes_per_sync(0),
compaction_style(kCompactionStyleLevel),
filter_deletes(false),
max_sequential_skip_in_iterations(8),
memtable_factory(std::shared_ptr<SkipListFactory>(new SkipListFactory)),
table_factory(
std::shared_ptr<TableFactory>(new BlockBasedTableFactory())),
inplace_update_support(false),
inplace_update_num_locks(10000) {
assert(memtable_factory.get() != nullptr);
}
static const char* const access_hints[] = {
"NONE", "NORMAL", "SEQUENTIAL", "WILLNEED"
};
void
Options::Dump(Logger* log) const
{
Log(log," Options.comparator: %s", comparator->Name());
Log(log," Options.merge_operator: %s",
merge_operator? merge_operator->Name() : "None");
Log(log," Options.compaction_filter: %s",
compaction_filter? compaction_filter->Name() : "None");
Log(log," Options.compaction_filter_factory: %s",
compaction_filter_factory->Name());
Log(log," Options.memtable_factory: %s",
memtable_factory->Name());
Log(log," Options.table_factory: %s", table_factory->Name());
Log(log," Options.error_if_exists: %d", error_if_exists);
Log(log," Options.create_if_missing: %d", create_if_missing);
Log(log," Options.paranoid_checks: %d", paranoid_checks);
Log(log," Options.env: %p", env);
Log(log," Options.info_log: %p", info_log.get());
Log(log," Options.write_buffer_size: %zd", write_buffer_size);
Log(log," Options.max_write_buffer_number: %d", max_write_buffer_number);
Log(log," Options.max_open_files: %d", max_open_files);
Log(log," Options.block_cache: %p", block_cache.get());
Log(log," Options.block_cache_compressed: %p",
block_cache_compressed.get());
if (block_cache) {
Log(log," Options.block_cache_size: %zd",
block_cache->GetCapacity());
}
if (block_cache_compressed) {
Log(log,"Options.block_cache_compressed_size: %zd",
block_cache_compressed->GetCapacity());
}
Log(log," Options.block_size: %zd", block_size);
Log(log," Options.block_restart_interval: %d", block_restart_interval);
if (!compression_per_level.empty()) {
for (unsigned int i = 0; i < compression_per_level.size(); i++) {
Log(log," Options.compression[%d]: %d",
Allow having different compression algorithms on different levels. Summary: The leveldb API is enhanced to support different compression algorithms at different levels. This adds the option min_level_to_compress to db_bench that specifies the minimum level for which compression should be done when compression is enabled. This can be used to disable compression for levels 0 and 1 which are likely to suffer from stalls because of the CPU load for memtable flushes and (L0,L1) compaction. Level 0 is special as it gets frequent memtable flushes. Level 1 is special as it frequently gets all:all file compactions between it and level 0. But all other levels could be the same. For any level N where N > 1, the rate of sequential IO for that level should be the same. The last level is the exception because it might not be full and because files from it are not read to compact with the next larger level. The same amount of time will be spent doing compaction at any level N excluding N=0, 1 or the last level. By this standard all of those levels should use the same compression. The difference is that the loss (using more disk space) from a faster compression algorithm is less significant for N=2 than for N=3. So we might be willing to trade disk space for faster write rates with no compression for L0 and L1, snappy for L2, zlib for L3. Using a faster compression algorithm for the mid levels also allows us to reclaim some cpu without trading off much loss in disk space overhead. Also note that little is to be gained by compressing levels 0 and 1. For a 4-level tree they account for 10% of the data. For a 5-level tree they account for 1% of the data. With compression enabled: * memtable flush rate is ~18MB/second * (L0,L1) compaction rate is ~30MB/second With compression enabled but min_level_to_compress=2 * memtable flush rate is ~320MB/second * (L0,L1) compaction rate is ~560MB/second This practicaly takes the same code from https://reviews.facebook.net/D6225 but makes the leveldb api more general purpose with a few additional lines of code. Test Plan: make check Differential Revision: https://reviews.facebook.net/D6261
2012-10-28 06:13:17 +00:00
i, compression_per_level[i]);
}
} else {
Log(log," Options.compression: %d", compression);
Allow having different compression algorithms on different levels. Summary: The leveldb API is enhanced to support different compression algorithms at different levels. This adds the option min_level_to_compress to db_bench that specifies the minimum level for which compression should be done when compression is enabled. This can be used to disable compression for levels 0 and 1 which are likely to suffer from stalls because of the CPU load for memtable flushes and (L0,L1) compaction. Level 0 is special as it gets frequent memtable flushes. Level 1 is special as it frequently gets all:all file compactions between it and level 0. But all other levels could be the same. For any level N where N > 1, the rate of sequential IO for that level should be the same. The last level is the exception because it might not be full and because files from it are not read to compact with the next larger level. The same amount of time will be spent doing compaction at any level N excluding N=0, 1 or the last level. By this standard all of those levels should use the same compression. The difference is that the loss (using more disk space) from a faster compression algorithm is less significant for N=2 than for N=3. So we might be willing to trade disk space for faster write rates with no compression for L0 and L1, snappy for L2, zlib for L3. Using a faster compression algorithm for the mid levels also allows us to reclaim some cpu without trading off much loss in disk space overhead. Also note that little is to be gained by compressing levels 0 and 1. For a 4-level tree they account for 10% of the data. For a 5-level tree they account for 1% of the data. With compression enabled: * memtable flush rate is ~18MB/second * (L0,L1) compaction rate is ~30MB/second With compression enabled but min_level_to_compress=2 * memtable flush rate is ~320MB/second * (L0,L1) compaction rate is ~560MB/second This practicaly takes the same code from https://reviews.facebook.net/D6225 but makes the leveldb api more general purpose with a few additional lines of code. Test Plan: make check Differential Revision: https://reviews.facebook.net/D6261
2012-10-28 06:13:17 +00:00
}
Log(log," Options.filter_policy: %s",
filter_policy == nullptr ? "nullptr" : filter_policy->Name());
Log(log," Options.prefix_extractor: %s",
prefix_extractor == nullptr ? "nullptr" : prefix_extractor->Name());
Log(log," Options.whole_key_filtering: %d", whole_key_filtering);
Log(log," Options.num_levels: %d", num_levels);
Log(log," Options.disableDataSync: %d", disableDataSync);
Log(log," Options.use_fsync: %d", use_fsync);
Log(log," Options.max_log_file_size: %ld", max_log_file_size);
Log(log,"Options.max_manifest_file_size: %lu",
(unsigned long)max_manifest_file_size);
Log(log," Options.log_file_time_to_roll: %ld", log_file_time_to_roll);
Log(log," Options.keep_log_file_num: %ld", keep_log_file_num);
Log(log," Options.db_stats_log_interval: %d",
db_stats_log_interval);
Log(log," Options.allow_os_buffer: %d", allow_os_buffer);
Log(log," Options.allow_mmap_reads: %d", allow_mmap_reads);
Log(log," Options.allow_mmap_writes: %d", allow_mmap_writes);
Log(log," Options.min_write_buffer_number_to_merge: %d",
min_write_buffer_number_to_merge);
Log(log," Options.purge_redundant_kvs_while_flush: %d",
purge_redundant_kvs_while_flush);
Log(log," Options.compression_opts.window_bits: %d",
compression_opts.window_bits);
Log(log," Options.compression_opts.level: %d",
compression_opts.level);
Log(log," Options.compression_opts.strategy: %d",
compression_opts.strategy);
Log(log," Options.level0_file_num_compaction_trigger: %d",
level0_file_num_compaction_trigger);
Log(log," Options.level0_slowdown_writes_trigger: %d",
level0_slowdown_writes_trigger);
Log(log," Options.level0_stop_writes_trigger: %d",
level0_stop_writes_trigger);
Log(log," Options.max_mem_compaction_level: %d",
max_mem_compaction_level);
Log(log," Options.target_file_size_base: %d",
target_file_size_base);
Log(log," Options.target_file_size_multiplier: %d",
target_file_size_multiplier);
Log(log," Options.max_bytes_for_level_base: %lu",
(unsigned long)max_bytes_for_level_base);
Log(log," Options.max_bytes_for_level_multiplier: %d",
max_bytes_for_level_multiplier);
for (int i = 0; i < num_levels; i++) {
Log(log,"Options.max_bytes_for_level_multiplier_addtl[%d]: %d",
i, max_bytes_for_level_multiplier_additional[i]);
}
Log(log," Options.max_sequential_skip_in_iterations: %lu",
(unsigned long)max_sequential_skip_in_iterations);
Log(log," Options.expanded_compaction_factor: %d",
expanded_compaction_factor);
Log(log," Options.source_compaction_factor: %d",
source_compaction_factor);
Log(log," Options.max_grandparent_overlap_factor: %d",
max_grandparent_overlap_factor);
Log(log," Options.db_log_dir: %s",
db_log_dir.c_str());
Log(log," Options.wal_dir: %s",
wal_dir.c_str());
Log(log," Options.disable_seek_compaction: %d",
disable_seek_compaction);
Log(log," Options.no_block_cache: %d",
no_block_cache);
Log(log," Options.table_cache_numshardbits: %d",
table_cache_numshardbits);
Log(log," Options.table_cache_remove_scan_count_limit: %d",
table_cache_remove_scan_count_limit);
Log(log," Options.arena_block_size: %ld",
arena_block_size);
Log(log," Options.delete_obsolete_files_period_micros: %lu",
(unsigned long)delete_obsolete_files_period_micros);
Log(log," Options.max_background_compactions: %d",
max_background_compactions);
Log(log," Options.max_background_flushes: %d",
max_background_flushes);
Log(log," Options.soft_rate_limit: %.2f",
soft_rate_limit);
Log(log," Options.hard_rate_limit: %.2f",
hard_rate_limit);
Log(log," Options.rate_limit_delay_max_milliseconds: %u",
rate_limit_delay_max_milliseconds);
Log(log," Options.disable_auto_compactions: %d",
disable_auto_compactions);
Log(log," Options.WAL_ttl_seconds: %lu",
(unsigned long)WAL_ttl_seconds);
Log(log," Options.WAL_size_limit_MB: %lu",
(unsigned long)WAL_size_limit_MB);
Log(log," Options.manifest_preallocation_size: %ld",
manifest_preallocation_size);
Log(log," Options.purge_redundant_kvs_while_flush: %d",
purge_redundant_kvs_while_flush);
Log(log," Options.allow_os_buffer: %d",
allow_os_buffer);
Log(log," Options.allow_mmap_reads: %d",
allow_mmap_reads);
Log(log," Options.allow_mmap_writes: %d",
allow_mmap_writes);
Log(log," Options.is_fd_close_on_exec: %d",
is_fd_close_on_exec);
Log(log," Options.skip_log_error_on_recovery: %d",
skip_log_error_on_recovery);
Log(log," Options.stats_dump_period_sec: %u",
stats_dump_period_sec);
Log(log," Options.block_size_deviation: %d",
block_size_deviation);
Log(log," Options.advise_random_on_open: %d",
advise_random_on_open);
Log(log," Options.access_hint_on_compaction_start: %s",
access_hints[access_hint_on_compaction_start]);
Log(log," Options.use_adaptive_mutex: %d",
use_adaptive_mutex);
Log(log," Options.bytes_per_sync: %lu",
(unsigned long)bytes_per_sync);
Log(log," Options.filter_deletes: %d",
filter_deletes);
Log(log," Options.compaction_style: %d",
compaction_style);
Log(log," Options.compaction_options_universal.size_ratio: %u",
compaction_options_universal.size_ratio);
Log(log,"Options.compaction_options_universal.min_merge_width: %u",
compaction_options_universal.min_merge_width);
Log(log,"Options.compaction_options_universal.max_merge_width: %u",
compaction_options_universal.max_merge_width);
Log(log,"Options.compaction_options_universal."
"max_size_amplification_percent: %u",
compaction_options_universal.max_size_amplification_percent);
Log(log,
"Options.compaction_options_universal.compression_size_percent: %u",
compaction_options_universal.compression_size_percent);
std::string collector_names;
for (auto collector : table_properties_collectors) {
collector_names.append(collector->Name());
collector_names.append("; ");
}
Log(log, " Options.table_properties_collectors: %s",
collector_names.c_str());
Log(log, " Options.inplace_update_support: %d",
inplace_update_support);
Log(log, " Options.inplace_update_num_locks: %zd",
inplace_update_num_locks);
} // Options::Dump
//
// The goal of this method is to create a configuration that
// allows an application to write all files into L0 and
// then do a single compaction to output all files into L1.
Options*
Options::PrepareForBulkLoad()
{
// never slowdown ingest.
level0_file_num_compaction_trigger = (1<<30);
level0_slowdown_writes_trigger = (1<<30);
level0_stop_writes_trigger = (1<<30);
// no auto compactions please. The application should issue a
// manual compaction after all data is loaded into L0.
disable_auto_compactions = true;
disable_seek_compaction = true;
disableDataSync = true;
// A manual compaction run should pick all files in L0 in
// a single compaction run.
source_compaction_factor = (1<<30);
// It is better to have only 2 levels, otherwise a manual
// compaction would compact at every possible level, thereby
// increasing the total time needed for compactions.
num_levels = 2;
// Prevent a memtable flush to automatically promote files
// to L1. This is helpful so that all files that are
// input to the manual compaction are all at L0.
max_background_compactions = 2;
// The compaction would create large files in L1.
target_file_size_base = 256 * 1024 * 1024;
return this;
}
} // namespace rocksdb