rocksdb/options/options_settable_test.cc

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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.
#include <cstring>
#include "options/cf_options.h"
#include "options/db_options.h"
#include "options/options_helper.h"
#include "rocksdb/convenience.h"
#include "test_util/testharness.h"
#ifndef GFLAGS
bool FLAGS_enable_print = false;
#else
#include "util/gflags_compat.h"
using GFLAGS_NAMESPACE::ParseCommandLineFlags;
DEFINE_bool(enable_print, false, "Print options generated to console.");
#endif // GFLAGS
namespace ROCKSDB_NAMESPACE {
// Verify options are settable from options strings.
// We take the approach that depends on compiler behavior that copy constructor
// won't touch implicit padding bytes, so that the test is fragile.
// As a result, we only run the tests to verify new fields in options are
// settable through string on limited platforms as it depends on behavior of
// compilers.
#ifndef ROCKSDB_LITE
#if defined OS_LINUX || defined OS_WIN
#ifndef __clang__
class OptionsSettableTest : public testing::Test {
public:
OptionsSettableTest() {}
};
const char kSpecialChar = 'z';
typedef std::vector<std::pair<size_t, size_t>> OffsetGap;
void FillWithSpecialChar(char* start_ptr, size_t total_size,
const OffsetGap& excluded,
char special_char = kSpecialChar) {
size_t offset = 0;
for (auto& pair : excluded) {
std::memset(start_ptr + offset, special_char, pair.first - offset);
offset = pair.first + pair.second;
}
std::memset(start_ptr + offset, special_char, total_size - offset);
}
int NumUnsetBytes(char* start_ptr, size_t total_size,
const OffsetGap& excluded) {
int total_unset_bytes_base = 0;
size_t offset = 0;
for (auto& pair : excluded) {
for (char* ptr = start_ptr + offset; ptr < start_ptr + pair.first; ptr++) {
if (*ptr == kSpecialChar) {
total_unset_bytes_base++;
}
}
offset = pair.first + pair.second;
}
for (char* ptr = start_ptr + offset; ptr < start_ptr + total_size; ptr++) {
if (*ptr == kSpecialChar) {
total_unset_bytes_base++;
}
}
return total_unset_bytes_base;
}
// Return true iff two structs are the same except excluded fields.
bool CompareBytes(char* start_ptr1, char* start_ptr2, size_t total_size,
const OffsetGap& excluded) {
size_t offset = 0;
for (auto& pair : excluded) {
for (; offset < pair.first; offset++) {
if (*(start_ptr1 + offset) != *(start_ptr2 + offset)) {
return false;
}
}
offset = pair.first + pair.second;
}
for (; offset < total_size; offset++) {
if (*(start_ptr1 + offset) != *(start_ptr2 + offset)) {
return false;
}
}
return true;
}
// If the test fails, likely a new option is added to BlockBasedTableOptions
// but it cannot be set through GetBlockBasedTableOptionsFromString(), or the
// test is not updated accordingly.
// After adding an option, we need to make sure it is settable by
// GetBlockBasedTableOptionsFromString() and add the option to the input string
// passed to the GetBlockBasedTableOptionsFromString() in this test.
// If it is a complicated type, you also need to add the field to
// kBbtoExcluded, and maybe add customized verification for it.
TEST_F(OptionsSettableTest, BlockBasedTableOptionsAllFieldsSettable) {
// Items in the form of <offset, size>. Need to be in ascending order
// and not overlapping. Need to updated if new pointer-option is added.
const OffsetGap kBbtoExcluded = {
{offsetof(struct BlockBasedTableOptions, flush_block_policy_factory),
sizeof(std::shared_ptr<FlushBlockPolicyFactory>)},
{offsetof(struct BlockBasedTableOptions, block_cache),
sizeof(std::shared_ptr<Cache>)},
{offsetof(struct BlockBasedTableOptions, persistent_cache),
sizeof(std::shared_ptr<PersistentCache>)},
{offsetof(struct BlockBasedTableOptions, block_cache_compressed),
sizeof(std::shared_ptr<Cache>)},
{offsetof(struct BlockBasedTableOptions, filter_policy),
sizeof(std::shared_ptr<const FilterPolicy>)},
};
// In this test, we catch a new option of BlockBasedTableOptions that is not
// settable through GetBlockBasedTableOptionsFromString().
// We count padding bytes of the option struct, and assert it to be the same
// as unset bytes of an option struct initialized by
// GetBlockBasedTableOptionsFromString().
char* bbto_ptr = new char[sizeof(BlockBasedTableOptions)];
// Count padding bytes by setting all bytes in the memory to a special char,
// copy a well constructed struct to this memory and see how many special
// bytes left.
BlockBasedTableOptions* bbto = new (bbto_ptr) BlockBasedTableOptions();
FillWithSpecialChar(bbto_ptr, sizeof(BlockBasedTableOptions), kBbtoExcluded);
// It based on the behavior of compiler that padding bytes are not changed
// when copying the struct. It's prone to failure when compiler behavior
// changes. We verify there is unset bytes to detect the case.
*bbto = BlockBasedTableOptions();
int unset_bytes_base =
NumUnsetBytes(bbto_ptr, sizeof(BlockBasedTableOptions), kBbtoExcluded);
ASSERT_GT(unset_bytes_base, 0);
bbto->~BlockBasedTableOptions();
// Construct the base option passed into
// GetBlockBasedTableOptionsFromString().
bbto = new (bbto_ptr) BlockBasedTableOptions();
FillWithSpecialChar(bbto_ptr, sizeof(BlockBasedTableOptions), kBbtoExcluded);
// This option is not setable:
bbto->use_delta_encoding = true;
char* new_bbto_ptr = new char[sizeof(BlockBasedTableOptions)];
BlockBasedTableOptions* new_bbto =
new (new_bbto_ptr) BlockBasedTableOptions();
FillWithSpecialChar(new_bbto_ptr, sizeof(BlockBasedTableOptions),
kBbtoExcluded);
// Need to update the option string if a new option is added.
ASSERT_OK(GetBlockBasedTableOptionsFromString(
*bbto,
"cache_index_and_filter_blocks=1;"
"cache_index_and_filter_blocks_with_high_priority=true;"
"metadata_cache_options={top_level_index_pinning=kFallback;"
"partition_pinning=kAll;"
"unpartitioned_pinning=kFlushedAndSimilar;};"
"pin_l0_filter_and_index_blocks_in_cache=1;"
"pin_top_level_index_and_filter=1;"
"index_type=kHashSearch;"
"data_block_index_type=kDataBlockBinaryAndHash;"
"index_shortening=kNoShortening;"
"data_block_hash_table_util_ratio=0.75;"
"checksum=kxxHash;hash_index_allow_collision=1;no_block_cache=1;"
"block_cache=1M;block_cache_compressed=1k;block_size=1024;"
"block_size_deviation=8;block_restart_interval=4; "
"metadata_block_size=1024;"
"partition_filters=false;"
Minimize memory internal fragmentation for Bloom filters (#6427) Summary: New experimental option BBTO::optimize_filters_for_memory builds filters that maximize their use of "usable size" from malloc_usable_size, which is also used to compute block cache charges. Rather than always "rounding up," we track state in the BloomFilterPolicy object to mix essentially "rounding down" and "rounding up" so that the average FP rate of all generated filters is the same as without the option. (YMMV as heavily accessed filters might be unluckily lower accuracy.) Thus, the option near-minimizes what the block cache considers as "memory used" for a given target Bloom filter false positive rate and Bloom filter implementation. There are no forward or backward compatibility issues with this change, though it only works on the format_version=5 Bloom filter. With Jemalloc, we see about 10% reduction in memory footprint (and block cache charge) for Bloom filters, but 1-2% increase in storage footprint, due to encoding efficiency losses (FP rate is non-linear with bits/key). Why not weighted random round up/down rather than state tracking? By only requiring malloc_usable_size, we don't actually know what the next larger and next smaller usable sizes for the allocator are. We pick a requested size, accept and use whatever usable size it has, and use the difference to inform our next choice. This allows us to narrow in on the right balance without tracking/predicting usable sizes. Why not weight history of generated filter false positive rates by number of keys? This could lead to excess skew in small filters after generating a large filter. Results from filter_bench with jemalloc (irrelevant details omitted): (normal keys/filter, but high variance) $ ./filter_bench -quick -impl=2 -average_keys_per_filter=30000 -vary_key_count_ratio=0.9 Build avg ns/key: 29.6278 Number of filters: 5516 Total size (MB): 200.046 Reported total allocated memory (MB): 220.597 Reported internal fragmentation: 10.2732% Bits/key stored: 10.0097 Average FP rate %: 0.965228 $ ./filter_bench -quick -impl=2 -average_keys_per_filter=30000 -vary_key_count_ratio=0.9 -optimize_filters_for_memory Build avg ns/key: 30.5104 Number of filters: 5464 Total size (MB): 200.015 Reported total allocated memory (MB): 200.322 Reported internal fragmentation: 0.153709% Bits/key stored: 10.1011 Average FP rate %: 0.966313 (very few keys / filter, optimization not as effective due to ~59 byte internal fragmentation in blocked Bloom filter representation) $ ./filter_bench -quick -impl=2 -average_keys_per_filter=1000 -vary_key_count_ratio=0.9 Build avg ns/key: 29.5649 Number of filters: 162950 Total size (MB): 200.001 Reported total allocated memory (MB): 224.624 Reported internal fragmentation: 12.3117% Bits/key stored: 10.2951 Average FP rate %: 0.821534 $ ./filter_bench -quick -impl=2 -average_keys_per_filter=1000 -vary_key_count_ratio=0.9 -optimize_filters_for_memory Build avg ns/key: 31.8057 Number of filters: 159849 Total size (MB): 200 Reported total allocated memory (MB): 208.846 Reported internal fragmentation: 4.42297% Bits/key stored: 10.4948 Average FP rate %: 0.811006 (high keys/filter) $ ./filter_bench -quick -impl=2 -average_keys_per_filter=1000000 -vary_key_count_ratio=0.9 Build avg ns/key: 29.7017 Number of filters: 164 Total size (MB): 200.352 Reported total allocated memory (MB): 221.5 Reported internal fragmentation: 10.5552% Bits/key stored: 10.0003 Average FP rate %: 0.969358 $ ./filter_bench -quick -impl=2 -average_keys_per_filter=1000000 -vary_key_count_ratio=0.9 -optimize_filters_for_memory Build avg ns/key: 30.7131 Number of filters: 160 Total size (MB): 200.928 Reported total allocated memory (MB): 200.938 Reported internal fragmentation: 0.00448054% Bits/key stored: 10.1852 Average FP rate %: 0.963387 And from db_bench (block cache) with jemalloc: $ ./db_bench -db=/dev/shm/dbbench.no_optimize -benchmarks=fillrandom -format_version=5 -value_size=90 -bloom_bits=10 -num=2000000 -threads=8 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=false $ ./db_bench -db=/dev/shm/dbbench -benchmarks=fillrandom -format_version=5 -value_size=90 -bloom_bits=10 -num=2000000 -threads=8 -optimize_filters_for_memory -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=false $ (for FILE in /dev/shm/dbbench.no_optimize/*.sst; do ./sst_dump --file=$FILE --show_properties | grep 'filter block' ; done) | awk '{ t += $4; } END { print t; }' 17063835 $ (for FILE in /dev/shm/dbbench/*.sst; do ./sst_dump --file=$FILE --show_properties | grep 'filter block' ; done) | awk '{ t += $4; } END { print t; }' 17430747 $ #^ 2.1% additional filter storage $ ./db_bench -db=/dev/shm/dbbench.no_optimize -use_existing_db -benchmarks=readrandom,stats -statistics -bloom_bits=10 -num=2000000 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=false -duration=10 -cache_index_and_filter_blocks -cache_size=1000000000 rocksdb.block.cache.index.add COUNT : 33 rocksdb.block.cache.index.bytes.insert COUNT : 8440400 rocksdb.block.cache.filter.add COUNT : 33 rocksdb.block.cache.filter.bytes.insert COUNT : 21087528 rocksdb.bloom.filter.useful COUNT : 4963889 rocksdb.bloom.filter.full.positive COUNT : 1214081 rocksdb.bloom.filter.full.true.positive COUNT : 1161999 $ #^ 1.04 % observed FP rate $ ./db_bench -db=/dev/shm/dbbench -use_existing_db -benchmarks=readrandom,stats -statistics -bloom_bits=10 -num=2000000 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=false -optimize_filters_for_memory -duration=10 -cache_index_and_filter_blocks -cache_size=1000000000 rocksdb.block.cache.index.add COUNT : 33 rocksdb.block.cache.index.bytes.insert COUNT : 8448592 rocksdb.block.cache.filter.add COUNT : 33 rocksdb.block.cache.filter.bytes.insert COUNT : 18220328 rocksdb.bloom.filter.useful COUNT : 5360933 rocksdb.bloom.filter.full.positive COUNT : 1321315 rocksdb.bloom.filter.full.true.positive COUNT : 1262999 $ #^ 1.08 % observed FP rate, 13.6% less memory usage for filters (Due to specific key density, this example tends to generate filters that are "worse than average" for internal fragmentation. "Better than average" cases can show little or no improvement.) Pull Request resolved: https://github.com/facebook/rocksdb/pull/6427 Test Plan: unit test added, 'make check' with gcc, clang and valgrind Reviewed By: siying Differential Revision: D22124374 Pulled By: pdillinger fbshipit-source-id: f3e3aa152f9043ddf4fae25799e76341d0d8714e
2020-06-22 22:30:57 +02:00
"optimize_filters_for_memory=true;"
"index_block_restart_interval=4;"
"filter_policy=bloomfilter:4:true;whole_key_filtering=1;"
"format_version=1;"
"hash_index_allow_collision=false;"
"verify_compression=true;read_amp_bytes_per_bit=0;"
"enable_index_compression=false;"
"block_align=true;"
"max_auto_readahead_size=0",
new_bbto));
ASSERT_EQ(unset_bytes_base,
NumUnsetBytes(new_bbto_ptr, sizeof(BlockBasedTableOptions),
kBbtoExcluded));
ASSERT_TRUE(new_bbto->block_cache.get() != nullptr);
ASSERT_TRUE(new_bbto->block_cache_compressed.get() != nullptr);
ASSERT_TRUE(new_bbto->filter_policy.get() != nullptr);
bbto->~BlockBasedTableOptions();
new_bbto->~BlockBasedTableOptions();
delete[] bbto_ptr;
delete[] new_bbto_ptr;
}
// If the test fails, likely a new option is added to DBOptions
// but it cannot be set through GetDBOptionsFromString(), or the test is not
// updated accordingly.
// After adding an option, we need to make sure it is settable by
// GetDBOptionsFromString() and add the option to the input string passed to
// DBOptionsFromString()in this test.
// If it is a complicated type, you also need to add the field to
// kDBOptionsExcluded, and maybe add customized verification for it.
TEST_F(OptionsSettableTest, DBOptionsAllFieldsSettable) {
const OffsetGap kDBOptionsExcluded = {
{offsetof(struct DBOptions, env), sizeof(Env*)},
{offsetof(struct DBOptions, rate_limiter),
sizeof(std::shared_ptr<RateLimiter>)},
{offsetof(struct DBOptions, sst_file_manager),
sizeof(std::shared_ptr<SstFileManager>)},
{offsetof(struct DBOptions, info_log), sizeof(std::shared_ptr<Logger>)},
{offsetof(struct DBOptions, statistics),
sizeof(std::shared_ptr<Statistics>)},
{offsetof(struct DBOptions, db_paths), sizeof(std::vector<DbPath>)},
{offsetof(struct DBOptions, db_log_dir), sizeof(std::string)},
{offsetof(struct DBOptions, wal_dir), sizeof(std::string)},
{offsetof(struct DBOptions, write_buffer_manager),
sizeof(std::shared_ptr<WriteBufferManager>)},
{offsetof(struct DBOptions, listeners),
sizeof(std::vector<std::shared_ptr<EventListener>>)},
{offsetof(struct DBOptions, row_cache), sizeof(std::shared_ptr<Cache>)},
{offsetof(struct DBOptions, wal_filter), sizeof(const WalFilter*)},
{offsetof(struct DBOptions, file_checksum_gen_factory),
sizeof(std::shared_ptr<FileChecksumGenFactory>)},
{offsetof(struct DBOptions, db_host_id), sizeof(std::string)},
{offsetof(struct DBOptions, checksum_handoff_file_types),
sizeof(FileTypeSet)},
};
char* options_ptr = new char[sizeof(DBOptions)];
// Count padding bytes by setting all bytes in the memory to a special char,
// copy a well constructed struct to this memory and see how many special
// bytes left.
DBOptions* options = new (options_ptr) DBOptions();
FillWithSpecialChar(options_ptr, sizeof(DBOptions), kDBOptionsExcluded);
// It based on the behavior of compiler that padding bytes are not changed
// when copying the struct. It's prone to failure when compiler behavior
// changes. We verify there is unset bytes to detect the case.
*options = DBOptions();
int unset_bytes_base =
NumUnsetBytes(options_ptr, sizeof(DBOptions), kDBOptionsExcluded);
ASSERT_GT(unset_bytes_base, 0);
options->~DBOptions();
options = new (options_ptr) DBOptions();
FillWithSpecialChar(options_ptr, sizeof(DBOptions), kDBOptionsExcluded);
char* new_options_ptr = new char[sizeof(DBOptions)];
DBOptions* new_options = new (new_options_ptr) DBOptions();
FillWithSpecialChar(new_options_ptr, sizeof(DBOptions), kDBOptionsExcluded);
// Need to update the option string if a new option is added.
ASSERT_OK(
GetDBOptionsFromString(*options,
"wal_bytes_per_sync=4295048118;"
"delete_obsolete_files_period_micros=4294967758;"
"WAL_ttl_seconds=4295008036;"
"WAL_size_limit_MB=4295036161;"
"max_write_batch_group_size_bytes=1048576;"
"wal_dir=path/to/wal_dir;"
"db_write_buffer_size=2587;"
"max_subcompactions=64330;"
"table_cache_numshardbits=28;"
"max_open_files=72;"
"max_file_opening_threads=35;"
"max_background_jobs=8;"
"base_background_compactions=3;"
"max_background_compactions=33;"
"use_fsync=true;"
"use_adaptive_mutex=false;"
"max_total_wal_size=4295005604;"
"compaction_readahead_size=0;"
"new_table_reader_for_compaction_inputs=false;"
"keep_log_file_num=4890;"
"skip_stats_update_on_db_open=false;"
"skip_checking_sst_file_sizes_on_db_open=false;"
"max_manifest_file_size=4295009941;"
"db_log_dir=path/to/db_log_dir;"
"skip_log_error_on_recovery=true;"
"writable_file_max_buffer_size=1048576;"
"paranoid_checks=true;"
"track_and_verify_wals_in_manifest=true;"
"is_fd_close_on_exec=false;"
"bytes_per_sync=4295013613;"
Optionally wait on bytes_per_sync to smooth I/O (#5183) Summary: The existing implementation does not guarantee bytes reach disk every `bytes_per_sync` when writing SST files, or every `wal_bytes_per_sync` when writing WALs. This can cause confusing behavior for users who enable this feature to avoid large syncs during flush and compaction, but then end up hitting them anyways. My understanding of the existing behavior is we used `sync_file_range` with `SYNC_FILE_RANGE_WRITE` to submit ranges for async writeback, such that we could continue processing the next range of bytes while that I/O is happening. I believe we can preserve that benefit while also limiting how far the processing can get ahead of the I/O, which prevents huge syncs from happening when the file finishes. Consider this `sync_file_range` usage: `sync_file_range(fd_, 0, static_cast<off_t>(offset + nbytes), SYNC_FILE_RANGE_WAIT_BEFORE | SYNC_FILE_RANGE_WRITE)`. Expanding the range to start at 0 and adding the `SYNC_FILE_RANGE_WAIT_BEFORE` flag causes any pending writeback (like from a previous call to `sync_file_range`) to finish before it proceeds to submit the latest `nbytes` for writeback. The latest `nbytes` are still written back asynchronously, unless processing exceeds I/O speed, in which case the following `sync_file_range` will need to wait on it. There is a second change in this PR to use `fdatasync` when `sync_file_range` is unavailable (determined statically) or has some known problem with the underlying filesystem (determined dynamically). The above two changes only apply when the user enables a new option, `strict_bytes_per_sync`. Pull Request resolved: https://github.com/facebook/rocksdb/pull/5183 Differential Revision: D14953553 Pulled By: siying fbshipit-source-id: 445c3862e019fb7b470f9c7f314fc231b62706e9
2019-04-22 20:48:45 +02:00
"strict_bytes_per_sync=true;"
"enable_thread_tracking=false;"
"recycle_log_file_num=0;"
"create_missing_column_families=true;"
"log_file_time_to_roll=3097;"
"max_background_flushes=35;"
"create_if_missing=false;"
"error_if_exists=true;"
"delayed_write_rate=4294976214;"
"manifest_preallocation_size=1222;"
"allow_mmap_writes=false;"
"stats_dump_period_sec=70127;"
"stats_persist_period_sec=54321;"
"persist_stats_to_disk=true;"
"stats_history_buffer_size=14159;"
"allow_fallocate=true;"
"allow_mmap_reads=false;"
"use_direct_reads=false;"
"use_direct_io_for_flush_and_compaction=false;"
"max_log_file_size=4607;"
"random_access_max_buffer_size=1048576;"
"advise_random_on_open=true;"
"fail_if_options_file_error=false;"
"enable_pipelined_write=false;"
Unordered Writes (#5218) Summary: Performing unordered writes in rocksdb when unordered_write option is set to true. When enabled the writes to memtable are done without joining any write thread. This offers much higher write throughput since the upcoming writes would not have to wait for the slowest memtable write to finish. The tradeoff is that the writes visible to a snapshot might change over time. If the application cannot tolerate that, it should implement its own mechanisms to work around that. Using TransactionDB with WRITE_PREPARED write policy is one way to achieve that. Doing so increases the max throughput by 2.2x without however compromising the snapshot guarantees. The patch is prepared based on an original by siying Existing unit tests are extended to include unordered_write option. Benchmark Results: ``` TEST_TMPDIR=/dev/shm/ ./db_bench_unordered --benchmarks=fillrandom --threads=32 --num=10000000 -max_write_buffer_number=16 --max_background_jobs=64 --batch_size=8 --writes=3000000 -level0_file_num_compaction_trigger=99999 --level0_slowdown_writes_trigger=99999 --level0_stop_writes_trigger=99999 -enable_pipelined_write=false -disable_auto_compactions --unordered_write=1 ``` With WAL - Vanilla RocksDB: 78.6 MB/s - WRITER_PREPARED with unordered_write: 177.8 MB/s (2.2x) - unordered_write: 368.9 MB/s (4.7x with relaxed snapshot guarantees) Without WAL - Vanilla RocksDB: 111.3 MB/s - WRITER_PREPARED with unordered_write: 259.3 MB/s MB/s (2.3x) - unordered_write: 645.6 MB/s (5.8x with relaxed snapshot guarantees) - WRITER_PREPARED with unordered_write disable concurrency control: 185.3 MB/s MB/s (2.35x) Limitations: - The feature is not yet extended to `max_successive_merges` > 0. The feature is also incompatible with `enable_pipelined_write` = true as well as with `allow_concurrent_memtable_write` = false. Pull Request resolved: https://github.com/facebook/rocksdb/pull/5218 Differential Revision: D15219029 Pulled By: maysamyabandeh fbshipit-source-id: 38f2abc4af8780148c6128acdba2b3227bc81759
2019-05-14 02:43:47 +02:00
"unordered_write=false;"
"allow_concurrent_memtable_write=true;"
"wal_recovery_mode=kPointInTimeRecovery;"
"enable_write_thread_adaptive_yield=true;"
"write_thread_slow_yield_usec=5;"
"write_thread_max_yield_usec=1000;"
"access_hint_on_compaction_start=NONE;"
"info_log_level=DEBUG_LEVEL;"
"dump_malloc_stats=false;"
"allow_2pc=false;"
"avoid_flush_during_recovery=false;"
"avoid_flush_during_shutdown=false;"
Optimize for serial commits in 2PC Summary: Throughput: 46k tps in our sysbench settings (filling the details later) The idea is to have the simplest change that gives us a reasonable boost in 2PC throughput. Major design changes: 1. The WAL file internal buffer is not flushed after each write. Instead it is flushed before critical operations (WAL copy via fs) or when FlushWAL is called by MySQL. Flushing the WAL buffer is also protected via mutex_. 2. Use two sequence numbers: last seq, and last seq for write. Last seq is the last visible sequence number for reads. Last seq for write is the next sequence number that should be used to write to WAL/memtable. This allows to have a memtable write be in parallel to WAL writes. 3. BatchGroup is not used for writes. This means that we can have parallel writers which changes a major assumption in the code base. To accommodate for that i) allow only 1 WriteImpl that intends to write to memtable via mem_mutex_--which is fine since in 2PC almost all of the memtable writes come via group commit phase which is serial anyway, ii) make all the parts in the code base that assumed to be the only writer (via EnterUnbatched) to also acquire mem_mutex_, iii) stat updates are protected via a stat_mutex_. Note: the first commit has the approach figured out but is not clean. Submitting the PR anyway to get the early feedback on the approach. If we are ok with the approach I will go ahead with this updates: 0) Rebase with Yi's pipelining changes 1) Currently batching is disabled by default to make sure that it will be consistent with all unit tests. Will make this optional via a config. 2) A couple of unit tests are disabled. They need to be updated with the serial commit of 2PC taken into account. 3) Replacing BatchGroup with mem_mutex_ got a bit ugly as it requires releasing mutex_ beforehand (the same way EnterUnbatched does). This needs to be cleaned up. Closes https://github.com/facebook/rocksdb/pull/2345 Differential Revision: D5210732 Pulled By: maysamyabandeh fbshipit-source-id: 78653bd95a35cd1e831e555e0e57bdfd695355a4
2017-06-24 23:06:43 +02:00
"allow_ingest_behind=false;"
Added support for differential snapshots Summary: The motivation for this PR is to add to RocksDB support for differential (incremental) snapshots, as snapshot of the DB changes between two points in time (one can think of it as diff between to sequence numbers, or the diff D which can be thought of as an SST file or just set of KVs that can be applied to sequence number S1 to get the database to the state at sequence number S2). This feature would be useful for various distributed storages layers built on top of RocksDB, as it should help reduce resources (time and network bandwidth) needed to recover and rebuilt DB instances as replicas in the context of distributed storages. From the API standpoint that would like client app requesting iterator between (start seqnum) and current DB state, and reading the "diff". This is a very draft PR for initial review in the discussion on the approach, i'm going to rework some parts and keep updating the PR. For now, what's done here according to initial discussions: Preserving deletes: - We want to be able to optionally preserve recent deletes for some defined period of time, so that if a delete came in recently and might need to be included in the next incremental snapshot it would't get dropped by a compaction. This is done by adding new param to Options (preserve deletes flag) and new variable to DB Impl where we keep track of the sequence number after which we don't want to drop tombstones, even if they are otherwise eligible for deletion. - I also added a new API call for clients to be able to advance this cutoff seqnum after which we drop deletes; i assume it's more flexible to let clients control this, since otherwise we'd need to keep some kind of timestamp < -- > seqnum mapping inside the DB, which sounds messy and painful to support. Clients could make use of it by periodically calling GetLatestSequenceNumber(), noting the timestamp, doing some calculation and figuring out by how much we need to advance the cutoff seqnum. - Compaction codepath in compaction_iterator.cc has been modified to avoid dropping tombstones with seqnum > cutoff seqnum. Iterator changes: - couple params added to ReadOptions, to optionally allow client to request internal keys instead of user keys (so that client can get the latest value of a key, be it delete marker or a put), as well as min timestamp and min seqnum. TableCache changes: - I modified table_cache code to be able to quickly exclude SST files from iterators heep if creation_time on the file is less then iter_start_ts as passed in ReadOptions. That would help a lot in some DB settings (like reading very recent data only or using FIFO compactions), but not so much for universal compaction with more or less long iterator time span. What's left: - Still looking at how to best plug that inside DBIter codepath. So far it seems that FindNextUserKeyInternal only parses values as UserKeys, and iter->key() call generally returns user key. Can we add new API to DBIter as internal_key(), and modify this internal method to optionally set saved_key_ to point to the full internal key? I don't need to store actual seqnum there, but I do need to store type. Closes https://github.com/facebook/rocksdb/pull/2999 Differential Revision: D6175602 Pulled By: mikhail-antonov fbshipit-source-id: c779a6696ee2d574d86c69cec866a3ae095aa900
2017-11-02 02:43:29 +01:00
"preserve_deletes=false;"
Optimize for serial commits in 2PC Summary: Throughput: 46k tps in our sysbench settings (filling the details later) The idea is to have the simplest change that gives us a reasonable boost in 2PC throughput. Major design changes: 1. The WAL file internal buffer is not flushed after each write. Instead it is flushed before critical operations (WAL copy via fs) or when FlushWAL is called by MySQL. Flushing the WAL buffer is also protected via mutex_. 2. Use two sequence numbers: last seq, and last seq for write. Last seq is the last visible sequence number for reads. Last seq for write is the next sequence number that should be used to write to WAL/memtable. This allows to have a memtable write be in parallel to WAL writes. 3. BatchGroup is not used for writes. This means that we can have parallel writers which changes a major assumption in the code base. To accommodate for that i) allow only 1 WriteImpl that intends to write to memtable via mem_mutex_--which is fine since in 2PC almost all of the memtable writes come via group commit phase which is serial anyway, ii) make all the parts in the code base that assumed to be the only writer (via EnterUnbatched) to also acquire mem_mutex_, iii) stat updates are protected via a stat_mutex_. Note: the first commit has the approach figured out but is not clean. Submitting the PR anyway to get the early feedback on the approach. If we are ok with the approach I will go ahead with this updates: 0) Rebase with Yi's pipelining changes 1) Currently batching is disabled by default to make sure that it will be consistent with all unit tests. Will make this optional via a config. 2) A couple of unit tests are disabled. They need to be updated with the serial commit of 2PC taken into account. 3) Replacing BatchGroup with mem_mutex_ got a bit ugly as it requires releasing mutex_ beforehand (the same way EnterUnbatched does). This needs to be cleaned up. Closes https://github.com/facebook/rocksdb/pull/2345 Differential Revision: D5210732 Pulled By: maysamyabandeh fbshipit-source-id: 78653bd95a35cd1e831e555e0e57bdfd695355a4
2017-06-24 23:06:43 +02:00
"concurrent_prepare=false;"
"two_write_queues=false;"
"manual_wal_flush=false;"
"seq_per_batch=false;"
"atomic_flush=false;"
"avoid_unnecessary_blocking_io=false;"
"log_readahead_size=0;"
"write_dbid_to_manifest=false;"
"best_efforts_recovery=false;"
"max_bgerror_resume_count=2;"
"bgerror_resume_retry_interval=1000000"
"db_host_id=hostname;"
"allow_data_in_errors=false",
new_options));
ASSERT_EQ(unset_bytes_base, NumUnsetBytes(new_options_ptr, sizeof(DBOptions),
kDBOptionsExcluded));
options->~DBOptions();
new_options->~DBOptions();
delete[] options_ptr;
delete[] new_options_ptr;
}
template <typename T1, typename T2>
inline int offset_of(T1 T2::*member) {
static T2 obj;
return int(size_t(&(obj.*member)) - size_t(&obj));
}
// If the test fails, likely a new option is added to ColumnFamilyOptions
// but it cannot be set through GetColumnFamilyOptionsFromString(), or the
// test is not updated accordingly.
// After adding an option, we need to make sure it is settable by
// GetColumnFamilyOptionsFromString() and add the option to the input
// string passed to GetColumnFamilyOptionsFromString()in this test.
// If it is a complicated type, you also need to add the field to
// kColumnFamilyOptionsExcluded, and maybe add customized verification
// for it.
TEST_F(OptionsSettableTest, ColumnFamilyOptionsAllFieldsSettable) {
// options in the excluded set need to appear in the same order as in
// ColumnFamilyOptions.
const OffsetGap kColumnFamilyOptionsExcluded = {
{offset_of(&ColumnFamilyOptions::inplace_callback),
sizeof(UpdateStatus(*)(char*, uint32_t*, Slice, std::string*))},
{offset_of(
&ColumnFamilyOptions::memtable_insert_with_hint_prefix_extractor),
sizeof(std::shared_ptr<const SliceTransform>)},
{offset_of(&ColumnFamilyOptions::compression_per_level),
sizeof(std::vector<CompressionType>)},
{offset_of(
&ColumnFamilyOptions::max_bytes_for_level_multiplier_additional),
sizeof(std::vector<int>)},
{offset_of(&ColumnFamilyOptions::memtable_factory),
sizeof(std::shared_ptr<MemTableRepFactory>)},
{offset_of(&ColumnFamilyOptions::table_properties_collector_factories),
sizeof(ColumnFamilyOptions::TablePropertiesCollectorFactories)},
{offset_of(&ColumnFamilyOptions::comparator), sizeof(Comparator*)},
{offset_of(&ColumnFamilyOptions::merge_operator),
sizeof(std::shared_ptr<MergeOperator>)},
{offset_of(&ColumnFamilyOptions::compaction_filter),
sizeof(const CompactionFilter*)},
{offset_of(&ColumnFamilyOptions::compaction_filter_factory),
sizeof(std::shared_ptr<CompactionFilterFactory>)},
{offset_of(&ColumnFamilyOptions::prefix_extractor),
sizeof(std::shared_ptr<const SliceTransform>)},
{offset_of(&ColumnFamilyOptions::snap_refresh_nanos), sizeof(uint64_t)},
{offset_of(&ColumnFamilyOptions::table_factory),
sizeof(std::shared_ptr<TableFactory>)},
{offset_of(&ColumnFamilyOptions::cf_paths), sizeof(std::vector<DbPath>)},
Concurrent task limiter for compaction thread control (#4332) Summary: The PR is targeting to resolve the issue of: https://github.com/facebook/rocksdb/issues/3972#issue-330771918 We have a rocksdb created with leveled-compaction with multiple column families (CFs), some of CFs are using HDD to store big and less frequently accessed data and others are using SSD. When there are continuously write traffics going on to all CFs, the compaction thread pool is mostly occupied by those slow HDD compactions, which blocks fully utilize SSD bandwidth. Since atomic write and transaction is needed across CFs, so splitting it to multiple rocksdb instance is not an option for us. With the compaction thread control, we got 30%+ HDD write throughput gain, and also a lot smooth SSD write since less write stall happening. ConcurrentTaskLimiter can be shared with multi-CFs across rocksdb instances, so the feature does not only work for multi-CFs scenarios, but also for multi-rocksdbs scenarios, who need disk IO resource control per tenant. The usage is straight forward: e.g.: // // Enable compaction thread limiter thru ColumnFamilyOptions // std::shared_ptr<ConcurrentTaskLimiter> ctl(NewConcurrentTaskLimiter("foo_limiter", 4)); Options options; ColumnFamilyOptions cf_opt(options); cf_opt.compaction_thread_limiter = ctl; ... // // Compaction thread limiter can be tuned or disabled on-the-fly // ctl->SetMaxOutstandingTask(12); // enlarge to 12 tasks ... ctl->ResetMaxOutstandingTask(); // disable (bypass) thread limiter ctl->SetMaxOutstandingTask(-1); // Same as above ... ctl->SetMaxOutstandingTask(0); // full throttle (0 task) // // Sharing compaction thread limiter among CFs (to resolve multiple storage perf issue) // std::shared_ptr<ConcurrentTaskLimiter> ctl_ssd(NewConcurrentTaskLimiter("ssd_limiter", 8)); std::shared_ptr<ConcurrentTaskLimiter> ctl_hdd(NewConcurrentTaskLimiter("hdd_limiter", 4)); Options options; ColumnFamilyOptions cf_opt_ssd1(options); ColumnFamilyOptions cf_opt_ssd2(options); ColumnFamilyOptions cf_opt_hdd1(options); ColumnFamilyOptions cf_opt_hdd2(options); ColumnFamilyOptions cf_opt_hdd3(options); // SSD CFs cf_opt_ssd1.compaction_thread_limiter = ctl_ssd; cf_opt_ssd2.compaction_thread_limiter = ctl_ssd; // HDD CFs cf_opt_hdd1.compaction_thread_limiter = ctl_hdd; cf_opt_hdd2.compaction_thread_limiter = ctl_hdd; cf_opt_hdd3.compaction_thread_limiter = ctl_hdd; ... // // The limiter is disabled by default (or set to nullptr explicitly) // Options options; ColumnFamilyOptions cf_opt(options); cf_opt.compaction_thread_limiter = nullptr; Pull Request resolved: https://github.com/facebook/rocksdb/pull/4332 Differential Revision: D13226590 Pulled By: siying fbshipit-source-id: 14307aec55b8bd59c8223d04aa6db3c03d1b0c1d
2018-12-13 22:16:04 +01:00
{offset_of(&ColumnFamilyOptions::compaction_thread_limiter),
sizeof(std::shared_ptr<ConcurrentTaskLimiter>)},
{offset_of(&ColumnFamilyOptions::sst_partitioner_factory),
sizeof(std::shared_ptr<SstPartitionerFactory>)},
};
char* options_ptr = new char[sizeof(ColumnFamilyOptions)];
// Count padding bytes by setting all bytes in the memory to a special char,
// copy a well constructed struct to this memory and see how many special
// bytes left.
FillWithSpecialChar(options_ptr, sizeof(ColumnFamilyOptions),
kColumnFamilyOptionsExcluded);
Limit buffering for collecting samples for compression dictionary (#7970) Summary: For dictionary compression, we need to collect some representative samples of the data to be compressed, which we use to either generate or train (when `CompressionOptions::zstd_max_train_bytes > 0`) a dictionary. Previously, the strategy was to buffer all the data blocks during flush, and up to the target file size during compaction. That strategy allowed us to randomly pick samples from as wide a range as possible that'd be guaranteed to land in a single output file. However, some users try to make huge files in memory-constrained environments, where this strategy can cause OOM. This PR introduces an option, `CompressionOptions::max_dict_buffer_bytes`, that limits how much data blocks are buffered before we switch to unbuffered mode (which means creating the per-SST dictionary, writing out the buffered data, and compressing/writing new blocks as soon as they are built). It is not strict as we currently buffer more than just data blocks -- also keys are buffered. But it does make a step towards giving users predictable memory usage. Related changes include: - Changed sampling for dictionary compression to select unique data blocks when there is limited availability of data blocks - Made use of `BlockBuilder::SwapAndReset()` to save an allocation+memcpy when buffering data blocks for building a dictionary - Changed `ParseBoolean()` to accept an input containing characters after the boolean. This is necessary since, with this PR, a value for `CompressionOptions::enabled` is no longer necessarily the final component in the `CompressionOptions` string. Pull Request resolved: https://github.com/facebook/rocksdb/pull/7970 Test Plan: - updated `CompressionOptions` unit tests to verify limit is respected (to the extent expected in the current implementation) in various scenarios of flush/compaction to bottommost/non-bottommost level - looked at jemalloc heap profiles right before and after switching to unbuffered mode during flush/compaction. Verified memory usage in buffering is proportional to the limit set. Reviewed By: pdillinger Differential Revision: D26467994 Pulled By: ajkr fbshipit-source-id: 3da4ef9fba59974e4ef40e40c01611002c861465
2021-02-19 23:06:59 +01:00
// Invoke a user-defined constructor in the hope that it does not overwrite
// padding bytes. Note that previously we relied on the implicitly-defined
// copy-assignment operator (i.e., `*options = ColumnFamilyOptions();`) here,
// which did in fact modify padding bytes.
ColumnFamilyOptions* options = new (options_ptr) ColumnFamilyOptions();
// Deprecatd option which is not initialized. Need to set it to avoid
// Valgrind error
options->max_mem_compaction_level = 0;
int unset_bytes_base = NumUnsetBytes(options_ptr, sizeof(ColumnFamilyOptions),
kColumnFamilyOptionsExcluded);
ASSERT_GT(unset_bytes_base, 0);
options->~ColumnFamilyOptions();
options = new (options_ptr) ColumnFamilyOptions();
FillWithSpecialChar(options_ptr, sizeof(ColumnFamilyOptions),
kColumnFamilyOptionsExcluded);
// Following options are not settable through
// GetColumnFamilyOptionsFromString():
options->rate_limit_delay_max_milliseconds = 33;
options->compaction_options_universal = CompactionOptionsUniversal();
options->hard_rate_limit = 0;
options->soft_rate_limit = 0;
options->num_levels = 42; // Initialize options for MutableCF
options->purge_redundant_kvs_while_flush = false;
options->max_mem_compaction_level = 0;
Concurrent task limiter for compaction thread control (#4332) Summary: The PR is targeting to resolve the issue of: https://github.com/facebook/rocksdb/issues/3972#issue-330771918 We have a rocksdb created with leveled-compaction with multiple column families (CFs), some of CFs are using HDD to store big and less frequently accessed data and others are using SSD. When there are continuously write traffics going on to all CFs, the compaction thread pool is mostly occupied by those slow HDD compactions, which blocks fully utilize SSD bandwidth. Since atomic write and transaction is needed across CFs, so splitting it to multiple rocksdb instance is not an option for us. With the compaction thread control, we got 30%+ HDD write throughput gain, and also a lot smooth SSD write since less write stall happening. ConcurrentTaskLimiter can be shared with multi-CFs across rocksdb instances, so the feature does not only work for multi-CFs scenarios, but also for multi-rocksdbs scenarios, who need disk IO resource control per tenant. The usage is straight forward: e.g.: // // Enable compaction thread limiter thru ColumnFamilyOptions // std::shared_ptr<ConcurrentTaskLimiter> ctl(NewConcurrentTaskLimiter("foo_limiter", 4)); Options options; ColumnFamilyOptions cf_opt(options); cf_opt.compaction_thread_limiter = ctl; ... // // Compaction thread limiter can be tuned or disabled on-the-fly // ctl->SetMaxOutstandingTask(12); // enlarge to 12 tasks ... ctl->ResetMaxOutstandingTask(); // disable (bypass) thread limiter ctl->SetMaxOutstandingTask(-1); // Same as above ... ctl->SetMaxOutstandingTask(0); // full throttle (0 task) // // Sharing compaction thread limiter among CFs (to resolve multiple storage perf issue) // std::shared_ptr<ConcurrentTaskLimiter> ctl_ssd(NewConcurrentTaskLimiter("ssd_limiter", 8)); std::shared_ptr<ConcurrentTaskLimiter> ctl_hdd(NewConcurrentTaskLimiter("hdd_limiter", 4)); Options options; ColumnFamilyOptions cf_opt_ssd1(options); ColumnFamilyOptions cf_opt_ssd2(options); ColumnFamilyOptions cf_opt_hdd1(options); ColumnFamilyOptions cf_opt_hdd2(options); ColumnFamilyOptions cf_opt_hdd3(options); // SSD CFs cf_opt_ssd1.compaction_thread_limiter = ctl_ssd; cf_opt_ssd2.compaction_thread_limiter = ctl_ssd; // HDD CFs cf_opt_hdd1.compaction_thread_limiter = ctl_hdd; cf_opt_hdd2.compaction_thread_limiter = ctl_hdd; cf_opt_hdd3.compaction_thread_limiter = ctl_hdd; ... // // The limiter is disabled by default (or set to nullptr explicitly) // Options options; ColumnFamilyOptions cf_opt(options); cf_opt.compaction_thread_limiter = nullptr; Pull Request resolved: https://github.com/facebook/rocksdb/pull/4332 Differential Revision: D13226590 Pulled By: siying fbshipit-source-id: 14307aec55b8bd59c8223d04aa6db3c03d1b0c1d
2018-12-13 22:16:04 +01:00
options->compaction_filter = nullptr;
options->sst_partitioner_factory = nullptr;
char* new_options_ptr = new char[sizeof(ColumnFamilyOptions)];
ColumnFamilyOptions* new_options =
new (new_options_ptr) ColumnFamilyOptions();
FillWithSpecialChar(new_options_ptr, sizeof(ColumnFamilyOptions),
kColumnFamilyOptionsExcluded);
// Need to update the option string if a new option is added.
ASSERT_OK(GetColumnFamilyOptionsFromString(
*options,
"compaction_filter_factory=mpudlojcujCompactionFilterFactory;"
"table_factory=PlainTable;"
"prefix_extractor=rocksdb.CappedPrefix.13;"
"comparator=leveldb.BytewiseComparator;"
"compression_per_level=kBZip2Compression:kBZip2Compression:"
"kBZip2Compression:kNoCompression:kZlibCompression:kBZip2Compression:"
"kSnappyCompression;"
"max_bytes_for_level_base=986;"
"bloom_locality=8016;"
"target_file_size_base=4294976376;"
"memtable_huge_page_size=2557;"
"max_successive_merges=5497;"
"max_sequential_skip_in_iterations=4294971408;"
"arena_block_size=1893;"
"target_file_size_multiplier=35;"
"min_write_buffer_number_to_merge=9;"
"max_write_buffer_number=84;"
"write_buffer_size=1653;"
"max_compaction_bytes=64;"
"max_bytes_for_level_multiplier=60;"
"memtable_factory=SkipListFactory;"
"compression=kNoCompression;"
Limit buffering for collecting samples for compression dictionary (#7970) Summary: For dictionary compression, we need to collect some representative samples of the data to be compressed, which we use to either generate or train (when `CompressionOptions::zstd_max_train_bytes > 0`) a dictionary. Previously, the strategy was to buffer all the data blocks during flush, and up to the target file size during compaction. That strategy allowed us to randomly pick samples from as wide a range as possible that'd be guaranteed to land in a single output file. However, some users try to make huge files in memory-constrained environments, where this strategy can cause OOM. This PR introduces an option, `CompressionOptions::max_dict_buffer_bytes`, that limits how much data blocks are buffered before we switch to unbuffered mode (which means creating the per-SST dictionary, writing out the buffered data, and compressing/writing new blocks as soon as they are built). It is not strict as we currently buffer more than just data blocks -- also keys are buffered. But it does make a step towards giving users predictable memory usage. Related changes include: - Changed sampling for dictionary compression to select unique data blocks when there is limited availability of data blocks - Made use of `BlockBuilder::SwapAndReset()` to save an allocation+memcpy when buffering data blocks for building a dictionary - Changed `ParseBoolean()` to accept an input containing characters after the boolean. This is necessary since, with this PR, a value for `CompressionOptions::enabled` is no longer necessarily the final component in the `CompressionOptions` string. Pull Request resolved: https://github.com/facebook/rocksdb/pull/7970 Test Plan: - updated `CompressionOptions` unit tests to verify limit is respected (to the extent expected in the current implementation) in various scenarios of flush/compaction to bottommost/non-bottommost level - looked at jemalloc heap profiles right before and after switching to unbuffered mode during flush/compaction. Verified memory usage in buffering is proportional to the limit set. Reviewed By: pdillinger Differential Revision: D26467994 Pulled By: ajkr fbshipit-source-id: 3da4ef9fba59974e4ef40e40c01611002c861465
2021-02-19 23:06:59 +01:00
"compression_opts=5:6:7:8:9:10:true:11;"
"bottommost_compression_opts=4:5:6:7:8:9:true:10;"
"bottommost_compression=kDisableCompressionOption;"
"level0_stop_writes_trigger=33;"
"num_levels=99;"
"level0_slowdown_writes_trigger=22;"
"level0_file_num_compaction_trigger=14;"
"compaction_filter=urxcqstuwnCompactionFilter;"
"soft_rate_limit=530.615385;"
"soft_pending_compaction_bytes_limit=0;"
"max_write_buffer_number_to_maintain=84;"
Refactor trimming logic for immutable memtables (#5022) Summary: MyRocks currently sets `max_write_buffer_number_to_maintain` in order to maintain enough history for transaction conflict checking. The effectiveness of this approach depends on the size of memtables. When memtables are small, it may not keep enough history; when memtables are large, this may consume too much memory. We are proposing a new way to configure memtable list history: by limiting the memory usage of immutable memtables. The new option is `max_write_buffer_size_to_maintain` and it will take precedence over the old `max_write_buffer_number_to_maintain` if they are both set to non-zero values. The new option accounts for the total memory usage of flushed immutable memtables and mutable memtable. When the total usage exceeds the limit, RocksDB may start dropping immutable memtables (which is also called trimming history), starting from the oldest one. The semantics of the old option actually works both as an upper bound and lower bound. History trimming will start if number of immutable memtables exceeds the limit, but it will never go below (limit-1) due to history trimming. In order the mimic the behavior with the new option, history trimming will stop if dropping the next immutable memtable causes the total memory usage go below the size limit. For example, assuming the size limit is set to 64MB, and there are 3 immutable memtables with sizes of 20, 30, 30. Although the total memory usage is 80MB > 64MB, dropping the oldest memtable will reduce the memory usage to 60MB < 64MB, so in this case no memtable will be dropped. Pull Request resolved: https://github.com/facebook/rocksdb/pull/5022 Differential Revision: D14394062 Pulled By: miasantreble fbshipit-source-id: 60457a509c6af89d0993f988c9b5c2aa9e45f5c5
2019-08-23 22:54:09 +02:00
"max_write_buffer_size_to_maintain=2147483648;"
"merge_operator=aabcxehazrMergeOperator;"
"memtable_prefix_bloom_size_ratio=0.4642;"
"memtable_whole_key_filtering=true;"
"memtable_insert_with_hint_prefix_extractor=rocksdb.CappedPrefix.13;"
"check_flush_compaction_key_order=false;"
"paranoid_file_checks=true;"
"force_consistency_checks=true;"
"inplace_update_num_locks=7429;"
"optimize_filters_for_hits=false;"
"level_compaction_dynamic_level_bytes=false;"
"inplace_update_support=false;"
"compaction_style=kCompactionStyleFIFO;"
"compaction_pri=kMinOverlappingRatio;"
"hard_pending_compaction_bytes_limit=0;"
"disable_auto_compactions=false;"
"report_bg_io_stats=true;"
"ttl=60;"
Periodic Compactions (#5166) Summary: Introducing Periodic Compactions. This feature allows all the files in a CF to be periodically compacted. It could help in catching any corruptions that could creep into the DB proactively as every file is constantly getting re-compacted. And also, of course, it helps to cleanup data older than certain threshold. - Introduced a new option `periodic_compaction_time` to control how long a file can live without being compacted in a CF. - This works across all levels. - The files are put in the same level after going through the compaction. (Related files in the same level are picked up as `ExpandInputstoCleanCut` is used). - Compaction filters, if any, are invoked as usual. - A new table property, `file_creation_time`, is introduced to implement this feature. This property is set to the time at which the SST file was created (and that time is given by the underlying Env/OS). This feature can be enabled on its own, or in conjunction with `ttl`. It is possible to set a different time threshold for the bottom level when used in conjunction with ttl. Since `ttl` works only on 0 to last but one levels, you could set `ttl` to, say, 1 day, and `periodic_compaction_time` to, say, 7 days. Since `ttl < periodic_compaction_time` all files in last but one levels keep getting picked up based on ttl, and almost never based on periodic_compaction_time. The files in the bottom level get picked up for compaction based on `periodic_compaction_time`. Pull Request resolved: https://github.com/facebook/rocksdb/pull/5166 Differential Revision: D14884441 Pulled By: sagar0 fbshipit-source-id: 408426cbacb409c06386a98632dcf90bfa1bda47
2019-04-11 04:24:25 +02:00
"periodic_compaction_seconds=3600;"
"sample_for_compression=0;"
"enable_blob_files=true;"
"min_blob_size=256;"
"blob_file_size=1000000;"
"blob_compression_type=kBZip2Compression;"
"enable_blob_garbage_collection=true;"
"blob_garbage_collection_age_cutoff=0.5;"
"compaction_options_fifo={max_table_files_size=3;allow_"
"compaction=false;};",
new_options));
ASSERT_EQ(unset_bytes_base,
NumUnsetBytes(new_options_ptr, sizeof(ColumnFamilyOptions),
kColumnFamilyOptionsExcluded));
ColumnFamilyOptions rnd_filled_options = *new_options;
options->~ColumnFamilyOptions();
new_options->~ColumnFamilyOptions();
delete[] options_ptr;
delete[] new_options_ptr;
// Test copying to mutabable and immutable options and copy back the mutable
// part.
const OffsetGap kMutableCFOptionsExcluded = {
{offset_of(&MutableCFOptions::prefix_extractor),
sizeof(std::shared_ptr<const SliceTransform>)},
{offset_of(&MutableCFOptions::max_bytes_for_level_multiplier_additional),
sizeof(std::vector<int>)},
{offset_of(&MutableCFOptions::max_file_size),
sizeof(std::vector<uint64_t>)},
};
// For all memory used for options, pre-fill every char. Otherwise, the
// padding bytes might be different so that byte-wise comparison doesn't
// general equal results even if objects are equal.
const char kMySpecialChar = 'x';
char* mcfo1_ptr = new char[sizeof(MutableCFOptions)];
FillWithSpecialChar(mcfo1_ptr, sizeof(MutableCFOptions),
kMutableCFOptionsExcluded, kMySpecialChar);
char* mcfo2_ptr = new char[sizeof(MutableCFOptions)];
FillWithSpecialChar(mcfo2_ptr, sizeof(MutableCFOptions),
kMutableCFOptionsExcluded, kMySpecialChar);
// A clean column family options is constructed after filling the same special
// char as the initial one. So that the padding bytes are the same.
char* cfo_clean_ptr = new char[sizeof(ColumnFamilyOptions)];
FillWithSpecialChar(cfo_clean_ptr, sizeof(ColumnFamilyOptions),
kColumnFamilyOptionsExcluded);
rnd_filled_options.num_levels = 66;
ColumnFamilyOptions* cfo_clean = new (cfo_clean_ptr) ColumnFamilyOptions();
MutableCFOptions* mcfo1 =
new (mcfo1_ptr) MutableCFOptions(rnd_filled_options);
ColumnFamilyOptions cfo_back = BuildColumnFamilyOptions(*cfo_clean, *mcfo1);
MutableCFOptions* mcfo2 = new (mcfo2_ptr) MutableCFOptions(cfo_back);
ASSERT_TRUE(CompareBytes(mcfo1_ptr, mcfo2_ptr, sizeof(MutableCFOptions),
kMutableCFOptionsExcluded));
cfo_clean->~ColumnFamilyOptions();
mcfo1->~MutableCFOptions();
mcfo2->~MutableCFOptions();
delete[] mcfo1_ptr;
delete[] mcfo2_ptr;
delete[] cfo_clean_ptr;
}
#endif // !__clang__
#endif // OS_LINUX || OS_WIN
#endif // !ROCKSDB_LITE
} // namespace ROCKSDB_NAMESPACE
int main(int argc, char** argv) {
::testing::InitGoogleTest(&argc, argv);
#ifdef GFLAGS
ParseCommandLineFlags(&argc, &argv, true);
#endif // GFLAGS
return RUN_ALL_TESTS();
}