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rocksdb/util/hash.h

121 lines
4.5 KiB

// 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.
//
Add new persistent 64-bit hash (#5984) Summary: For upcoming new SST filter implementations, we will use a new 64-bit hash function (XXH3 preview, slightly modified). This change updates hash.{h,cc} for that change, adds unit tests, and out-of-lines the implementations to keep hash.h as clean/small as possible. In developing the unit tests, I discovered that the XXH3 preview always returns zero for the empty string. Zero is problematic for some algorithms (including an upcoming SST filter implementation) if it occurs more often than at the "natural" rate, so it should not be returned from trivial values using trivial seeds. I modified our fork of XXH3 to return a modest hash of the seed for the empty string. With hash function details out-of-lines in hash.h, it makes sense to enable XXH_INLINE_ALL, so that direct calls to XXH64/XXH32/XXH3p are inlined. To fix array-bounds warnings on some inline calls, I injected some casts to uintptr_t in xxhash.cc. (Issue reported to Yann.) Revised: Reverted using XXH_INLINE_ALL for now. Some Facebook checks are unhappy about #include on xxhash.cc file. I would fix that by rename to xxhash_cc.h, but to best preserve history I want to do that in a separate commit (PR) from the uintptr casts. Also updated filter_bench for this change, improving the performance predictability of dry run hashing and adding support for 64-bit hash (for upcoming new SST filter implementations, minor dead code in the tool for now). Pull Request resolved: https://github.com/facebook/rocksdb/pull/5984 Differential Revision: D18246567 Pulled By: pdillinger fbshipit-source-id: 6162fbf6381d63c8cc611dd7ec70e1ddc883fbb8
5 years ago
// Common hash functions with convenient interfaces. If hashing a
// statically-sized input in a performance-critical context, consider
// calling a specific hash implementation directly, such as
// XXH3p_64bits from xxhash.h.
//
// Since this is a very common header, implementation details are kept
// out-of-line. Out-of-lining also aids in tracking the time spent in
// hashing functions. Inlining is of limited benefit for runtime-sized
// hash inputs.
#pragma once
#include <stddef.h>
#include <stdint.h>
#include "rocksdb/slice.h"
namespace ROCKSDB_NAMESPACE {
Add new persistent 64-bit hash (#5984) Summary: For upcoming new SST filter implementations, we will use a new 64-bit hash function (XXH3 preview, slightly modified). This change updates hash.{h,cc} for that change, adds unit tests, and out-of-lines the implementations to keep hash.h as clean/small as possible. In developing the unit tests, I discovered that the XXH3 preview always returns zero for the empty string. Zero is problematic for some algorithms (including an upcoming SST filter implementation) if it occurs more often than at the "natural" rate, so it should not be returned from trivial values using trivial seeds. I modified our fork of XXH3 to return a modest hash of the seed for the empty string. With hash function details out-of-lines in hash.h, it makes sense to enable XXH_INLINE_ALL, so that direct calls to XXH64/XXH32/XXH3p are inlined. To fix array-bounds warnings on some inline calls, I injected some casts to uintptr_t in xxhash.cc. (Issue reported to Yann.) Revised: Reverted using XXH_INLINE_ALL for now. Some Facebook checks are unhappy about #include on xxhash.cc file. I would fix that by rename to xxhash_cc.h, but to best preserve history I want to do that in a separate commit (PR) from the uintptr casts. Also updated filter_bench for this change, improving the performance predictability of dry run hashing and adding support for 64-bit hash (for upcoming new SST filter implementations, minor dead code in the tool for now). Pull Request resolved: https://github.com/facebook/rocksdb/pull/5984 Differential Revision: D18246567 Pulled By: pdillinger fbshipit-source-id: 6162fbf6381d63c8cc611dd7ec70e1ddc883fbb8
5 years ago
// Stable/persistent 64-bit hash. Higher quality and generally faster than
// Hash(), especially for inputs > 24 bytes.
extern uint64_t Hash64(const char* data, size_t n, uint64_t seed);
// Specific optimization without seed (same as seed = 0)
extern uint64_t Hash64(const char* data, size_t n);
// Non-persistent hash. Must only used for in-memory data structure.
// The hash results are thus applicable to change. (Thus, it rarely makes
// sense to specify a seed for this function.)
Add new persistent 64-bit hash (#5984) Summary: For upcoming new SST filter implementations, we will use a new 64-bit hash function (XXH3 preview, slightly modified). This change updates hash.{h,cc} for that change, adds unit tests, and out-of-lines the implementations to keep hash.h as clean/small as possible. In developing the unit tests, I discovered that the XXH3 preview always returns zero for the empty string. Zero is problematic for some algorithms (including an upcoming SST filter implementation) if it occurs more often than at the "natural" rate, so it should not be returned from trivial values using trivial seeds. I modified our fork of XXH3 to return a modest hash of the seed for the empty string. With hash function details out-of-lines in hash.h, it makes sense to enable XXH_INLINE_ALL, so that direct calls to XXH64/XXH32/XXH3p are inlined. To fix array-bounds warnings on some inline calls, I injected some casts to uintptr_t in xxhash.cc. (Issue reported to Yann.) Revised: Reverted using XXH_INLINE_ALL for now. Some Facebook checks are unhappy about #include on xxhash.cc file. I would fix that by rename to xxhash_cc.h, but to best preserve history I want to do that in a separate commit (PR) from the uintptr casts. Also updated filter_bench for this change, improving the performance predictability of dry run hashing and adding support for 64-bit hash (for upcoming new SST filter implementations, minor dead code in the tool for now). Pull Request resolved: https://github.com/facebook/rocksdb/pull/5984 Differential Revision: D18246567 Pulled By: pdillinger fbshipit-source-id: 6162fbf6381d63c8cc611dd7ec70e1ddc883fbb8
5 years ago
inline uint64_t NPHash64(const char* data, size_t n, uint32_t seed) {
// Currently same as Hash64
return Hash64(data, n, seed);
}
// Specific optimization without seed (same as seed = 0)
inline uint64_t NPHash64(const char* data, size_t n) {
// Currently same as Hash64
return Hash64(data, n);
}
Consolidate hash function used for non-persistent data in a new function (#5155) Summary: Create new function NPHash64() and GetSliceNPHash64(), which are currently implemented using murmurhash. Replace the current direct call of murmurhash() to use the new functions if the hash results are not used in on-disk format. This will make it easier to try out or switch to alternative functions in the uses where data format compatibility doesn't need to be considered. This part shouldn't have any performance impact. Also, the sharded cache hash function is changed to the new format, because it falls into this categoery. It doesn't show visible performance impact in db_bench results. CPU showed by perf is increased from about 0.2% to 0.4% in an extreme benchmark setting (4KB blocks, no-compression, everything cached in block cache). We've known that the current hash function used, our own Hash() has serious hash quality problem. It can generate a lots of conflicts with similar input. In this use case, it means extra lock contention for reads from the same file. This slight CPU regression is worthy to me to counter the potential bad performance with hot keys. And hopefully this will get further improved in the future with a better hash function. cache_test's condition is relaxed a little bit to. The new hash is slightly more skewed in this use case, but I manually checked the data and see the hash results are still in a reasonable range. Pull Request resolved: https://github.com/facebook/rocksdb/pull/5155 Differential Revision: D14834821 Pulled By: siying fbshipit-source-id: ec9a2c0a2f8ae4b54d08b13a5c2e9cc97aa80cb5
6 years ago
Add new persistent 64-bit hash (#5984) Summary: For upcoming new SST filter implementations, we will use a new 64-bit hash function (XXH3 preview, slightly modified). This change updates hash.{h,cc} for that change, adds unit tests, and out-of-lines the implementations to keep hash.h as clean/small as possible. In developing the unit tests, I discovered that the XXH3 preview always returns zero for the empty string. Zero is problematic for some algorithms (including an upcoming SST filter implementation) if it occurs more often than at the "natural" rate, so it should not be returned from trivial values using trivial seeds. I modified our fork of XXH3 to return a modest hash of the seed for the empty string. With hash function details out-of-lines in hash.h, it makes sense to enable XXH_INLINE_ALL, so that direct calls to XXH64/XXH32/XXH3p are inlined. To fix array-bounds warnings on some inline calls, I injected some casts to uintptr_t in xxhash.cc. (Issue reported to Yann.) Revised: Reverted using XXH_INLINE_ALL for now. Some Facebook checks are unhappy about #include on xxhash.cc file. I would fix that by rename to xxhash_cc.h, but to best preserve history I want to do that in a separate commit (PR) from the uintptr casts. Also updated filter_bench for this change, improving the performance predictability of dry run hashing and adding support for 64-bit hash (for upcoming new SST filter implementations, minor dead code in the tool for now). Pull Request resolved: https://github.com/facebook/rocksdb/pull/5984 Differential Revision: D18246567 Pulled By: pdillinger fbshipit-source-id: 6162fbf6381d63c8cc611dd7ec70e1ddc883fbb8
5 years ago
// Stable/persistent 32-bit hash. Moderate quality and high speed on
// small inputs.
// TODO: consider rename to Hash32
extern uint32_t Hash(const char* data, size_t n, uint32_t seed);
Add new persistent 64-bit hash (#5984) Summary: For upcoming new SST filter implementations, we will use a new 64-bit hash function (XXH3 preview, slightly modified). This change updates hash.{h,cc} for that change, adds unit tests, and out-of-lines the implementations to keep hash.h as clean/small as possible. In developing the unit tests, I discovered that the XXH3 preview always returns zero for the empty string. Zero is problematic for some algorithms (including an upcoming SST filter implementation) if it occurs more often than at the "natural" rate, so it should not be returned from trivial values using trivial seeds. I modified our fork of XXH3 to return a modest hash of the seed for the empty string. With hash function details out-of-lines in hash.h, it makes sense to enable XXH_INLINE_ALL, so that direct calls to XXH64/XXH32/XXH3p are inlined. To fix array-bounds warnings on some inline calls, I injected some casts to uintptr_t in xxhash.cc. (Issue reported to Yann.) Revised: Reverted using XXH_INLINE_ALL for now. Some Facebook checks are unhappy about #include on xxhash.cc file. I would fix that by rename to xxhash_cc.h, but to best preserve history I want to do that in a separate commit (PR) from the uintptr casts. Also updated filter_bench for this change, improving the performance predictability of dry run hashing and adding support for 64-bit hash (for upcoming new SST filter implementations, minor dead code in the tool for now). Pull Request resolved: https://github.com/facebook/rocksdb/pull/5984 Differential Revision: D18246567 Pulled By: pdillinger fbshipit-source-id: 6162fbf6381d63c8cc611dd7ec70e1ddc883fbb8
5 years ago
// TODO: consider rename to LegacyBloomHash32
inline uint32_t BloomHash(const Slice& key) {
return Hash(key.data(), key.size(), 0xbc9f1d34);
}
Add new persistent 64-bit hash (#5984) Summary: For upcoming new SST filter implementations, we will use a new 64-bit hash function (XXH3 preview, slightly modified). This change updates hash.{h,cc} for that change, adds unit tests, and out-of-lines the implementations to keep hash.h as clean/small as possible. In developing the unit tests, I discovered that the XXH3 preview always returns zero for the empty string. Zero is problematic for some algorithms (including an upcoming SST filter implementation) if it occurs more often than at the "natural" rate, so it should not be returned from trivial values using trivial seeds. I modified our fork of XXH3 to return a modest hash of the seed for the empty string. With hash function details out-of-lines in hash.h, it makes sense to enable XXH_INLINE_ALL, so that direct calls to XXH64/XXH32/XXH3p are inlined. To fix array-bounds warnings on some inline calls, I injected some casts to uintptr_t in xxhash.cc. (Issue reported to Yann.) Revised: Reverted using XXH_INLINE_ALL for now. Some Facebook checks are unhappy about #include on xxhash.cc file. I would fix that by rename to xxhash_cc.h, but to best preserve history I want to do that in a separate commit (PR) from the uintptr casts. Also updated filter_bench for this change, improving the performance predictability of dry run hashing and adding support for 64-bit hash (for upcoming new SST filter implementations, minor dead code in the tool for now). Pull Request resolved: https://github.com/facebook/rocksdb/pull/5984 Differential Revision: D18246567 Pulled By: pdillinger fbshipit-source-id: 6162fbf6381d63c8cc611dd7ec70e1ddc883fbb8
5 years ago
inline uint64_t GetSliceHash64(const Slice& key) {
return Hash64(key.data(), key.size());
}
Consolidate hash function used for non-persistent data in a new function (#5155) Summary: Create new function NPHash64() and GetSliceNPHash64(), which are currently implemented using murmurhash. Replace the current direct call of murmurhash() to use the new functions if the hash results are not used in on-disk format. This will make it easier to try out or switch to alternative functions in the uses where data format compatibility doesn't need to be considered. This part shouldn't have any performance impact. Also, the sharded cache hash function is changed to the new format, because it falls into this categoery. It doesn't show visible performance impact in db_bench results. CPU showed by perf is increased from about 0.2% to 0.4% in an extreme benchmark setting (4KB blocks, no-compression, everything cached in block cache). We've known that the current hash function used, our own Hash() has serious hash quality problem. It can generate a lots of conflicts with similar input. In this use case, it means extra lock contention for reads from the same file. This slight CPU regression is worthy to me to counter the potential bad performance with hot keys. And hopefully this will get further improved in the future with a better hash function. cache_test's condition is relaxed a little bit to. The new hash is slightly more skewed in this use case, but I manually checked the data and see the hash results are still in a reasonable range. Pull Request resolved: https://github.com/facebook/rocksdb/pull/5155 Differential Revision: D14834821 Pulled By: siying fbshipit-source-id: ec9a2c0a2f8ae4b54d08b13a5c2e9cc97aa80cb5
6 years ago
inline uint64_t GetSliceNPHash64(const Slice& s) {
return NPHash64(s.data(), s.size());
Consolidate hash function used for non-persistent data in a new function (#5155) Summary: Create new function NPHash64() and GetSliceNPHash64(), which are currently implemented using murmurhash. Replace the current direct call of murmurhash() to use the new functions if the hash results are not used in on-disk format. This will make it easier to try out or switch to alternative functions in the uses where data format compatibility doesn't need to be considered. This part shouldn't have any performance impact. Also, the sharded cache hash function is changed to the new format, because it falls into this categoery. It doesn't show visible performance impact in db_bench results. CPU showed by perf is increased from about 0.2% to 0.4% in an extreme benchmark setting (4KB blocks, no-compression, everything cached in block cache). We've known that the current hash function used, our own Hash() has serious hash quality problem. It can generate a lots of conflicts with similar input. In this use case, it means extra lock contention for reads from the same file. This slight CPU regression is worthy to me to counter the potential bad performance with hot keys. And hopefully this will get further improved in the future with a better hash function. cache_test's condition is relaxed a little bit to. The new hash is slightly more skewed in this use case, but I manually checked the data and see the hash results are still in a reasonable range. Pull Request resolved: https://github.com/facebook/rocksdb/pull/5155 Differential Revision: D14834821 Pulled By: siying fbshipit-source-id: ec9a2c0a2f8ae4b54d08b13a5c2e9cc97aa80cb5
6 years ago
}
Add new persistent 64-bit hash (#5984) Summary: For upcoming new SST filter implementations, we will use a new 64-bit hash function (XXH3 preview, slightly modified). This change updates hash.{h,cc} for that change, adds unit tests, and out-of-lines the implementations to keep hash.h as clean/small as possible. In developing the unit tests, I discovered that the XXH3 preview always returns zero for the empty string. Zero is problematic for some algorithms (including an upcoming SST filter implementation) if it occurs more often than at the "natural" rate, so it should not be returned from trivial values using trivial seeds. I modified our fork of XXH3 to return a modest hash of the seed for the empty string. With hash function details out-of-lines in hash.h, it makes sense to enable XXH_INLINE_ALL, so that direct calls to XXH64/XXH32/XXH3p are inlined. To fix array-bounds warnings on some inline calls, I injected some casts to uintptr_t in xxhash.cc. (Issue reported to Yann.) Revised: Reverted using XXH_INLINE_ALL for now. Some Facebook checks are unhappy about #include on xxhash.cc file. I would fix that by rename to xxhash_cc.h, but to best preserve history I want to do that in a separate commit (PR) from the uintptr casts. Also updated filter_bench for this change, improving the performance predictability of dry run hashing and adding support for 64-bit hash (for upcoming new SST filter implementations, minor dead code in the tool for now). Pull Request resolved: https://github.com/facebook/rocksdb/pull/5984 Differential Revision: D18246567 Pulled By: pdillinger fbshipit-source-id: 6162fbf6381d63c8cc611dd7ec70e1ddc883fbb8
5 years ago
// TODO: consider rename to GetSliceHash32
inline uint32_t GetSliceHash(const Slice& s) {
return Hash(s.data(), s.size(), 397);
}
Add new persistent 64-bit hash (#5984) Summary: For upcoming new SST filter implementations, we will use a new 64-bit hash function (XXH3 preview, slightly modified). This change updates hash.{h,cc} for that change, adds unit tests, and out-of-lines the implementations to keep hash.h as clean/small as possible. In developing the unit tests, I discovered that the XXH3 preview always returns zero for the empty string. Zero is problematic for some algorithms (including an upcoming SST filter implementation) if it occurs more often than at the "natural" rate, so it should not be returned from trivial values using trivial seeds. I modified our fork of XXH3 to return a modest hash of the seed for the empty string. With hash function details out-of-lines in hash.h, it makes sense to enable XXH_INLINE_ALL, so that direct calls to XXH64/XXH32/XXH3p are inlined. To fix array-bounds warnings on some inline calls, I injected some casts to uintptr_t in xxhash.cc. (Issue reported to Yann.) Revised: Reverted using XXH_INLINE_ALL for now. Some Facebook checks are unhappy about #include on xxhash.cc file. I would fix that by rename to xxhash_cc.h, but to best preserve history I want to do that in a separate commit (PR) from the uintptr casts. Also updated filter_bench for this change, improving the performance predictability of dry run hashing and adding support for 64-bit hash (for upcoming new SST filter implementations, minor dead code in the tool for now). Pull Request resolved: https://github.com/facebook/rocksdb/pull/5984 Differential Revision: D18246567 Pulled By: pdillinger fbshipit-source-id: 6162fbf6381d63c8cc611dd7ec70e1ddc883fbb8
5 years ago
// Useful for splitting up a 64-bit hash
inline uint32_t Upper32of64(uint64_t v) {
return static_cast<uint32_t>(v >> 32);
}
inline uint32_t Lower32of64(uint64_t v) { return static_cast<uint32_t>(v); }
// std::hash compatible interface.
Add new persistent 64-bit hash (#5984) Summary: For upcoming new SST filter implementations, we will use a new 64-bit hash function (XXH3 preview, slightly modified). This change updates hash.{h,cc} for that change, adds unit tests, and out-of-lines the implementations to keep hash.h as clean/small as possible. In developing the unit tests, I discovered that the XXH3 preview always returns zero for the empty string. Zero is problematic for some algorithms (including an upcoming SST filter implementation) if it occurs more often than at the "natural" rate, so it should not be returned from trivial values using trivial seeds. I modified our fork of XXH3 to return a modest hash of the seed for the empty string. With hash function details out-of-lines in hash.h, it makes sense to enable XXH_INLINE_ALL, so that direct calls to XXH64/XXH32/XXH3p are inlined. To fix array-bounds warnings on some inline calls, I injected some casts to uintptr_t in xxhash.cc. (Issue reported to Yann.) Revised: Reverted using XXH_INLINE_ALL for now. Some Facebook checks are unhappy about #include on xxhash.cc file. I would fix that by rename to xxhash_cc.h, but to best preserve history I want to do that in a separate commit (PR) from the uintptr casts. Also updated filter_bench for this change, improving the performance predictability of dry run hashing and adding support for 64-bit hash (for upcoming new SST filter implementations, minor dead code in the tool for now). Pull Request resolved: https://github.com/facebook/rocksdb/pull/5984 Differential Revision: D18246567 Pulled By: pdillinger fbshipit-source-id: 6162fbf6381d63c8cc611dd7ec70e1ddc883fbb8
5 years ago
// TODO: consider rename to SliceHasher32
struct SliceHasher {
uint32_t operator()(const Slice& s) const { return GetSliceHash(s); }
};
Faster new DynamicBloom implementation (for memtable) (#5762) Summary: Since DynamicBloom is now only used in-memory, we're free to change it without schema compatibility issues. The new implementation is drawn from (with manifest permission) https://github.com/pdillinger/wormhashing/blob/303542a767437f56d8b66cea6ebecaac0e6a61e9/bloom_simulation_tests/foo.cc#L613 This has several speed advantages over the prior implementation: * Uses fastrange instead of % * Minimum logic to determine first (and all) probed memory addresses * (Major) Two probes per 64-bit memory fetch/write. * Very fast and effective (murmur-like) hash expansion/re-mixing. (At least on recent CPUs, integer multiplication is very cheap.) While a Bloom filter with 512-bit cache locality has about a 1.15x FP rate penalty (e.g. 0.84% to 0.97%), further restricting to two probes per 64 bits incurs an additional 1.12x FP rate penalty (e.g. 0.97% to 1.09%). Nevertheless, the unit tests show no "mediocre" FP rate samples, unlike the old implementation with more erratic FP rates. Especially for the memtable, we expect speed to outweigh somewhat higher FP rates. For example, a negative table query would have to be 1000x slower than a BF query to justify doubling BF query time to shave 10% off FP rate (working assumption around 1% FP rate). While that seems likely for SSTs, my data suggests a speed factor of roughly 50x for the memtable (vs. BF; ~1.5% lower write throughput when enabling memtable Bloom filter, after this change). Thus, it's probably not worth even 5% more time in the Bloom filter to shave off 1/10th of the Bloom FP rate, or 0.1% in absolute terms, and it's probably at least 20% slower to recoup that much FP rate from this new implementation. Because of this, we do not see a need for a 'locality' option that affects the MemTable Bloom filter and have decoupled the MemTable Bloom filter from Options::bloom_locality. Note that just 3% more memory to the Bloom filter (10.3 bits per key vs. just 10) is able to make up for the ~12% FP rate drop in the new implementation: [] # Nearly "ideal" FP-wise but reasonably fast cache-local implementation [~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_WORM64_FROM32_any.out 10000000 6 10 $RANDOM 100000000 ./foo_gcc_IMPL_CACHE_WORM64_FROM32_any.out time: 3.29372 sampled_fp_rate: 0.00985956 ... [] # Close match to this new implementation [~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out 10000000 6 10.3 $RANDOM 100000000 ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out time: 2.10072 sampled_fp_rate: 0.00985655 ... [] # Old locality=1 implementation [~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_ROCKSDB_DYNAMIC_any.out 10000000 6 10 $RANDOM 100000000 ./foo_gcc_IMPL_CACHE_ROCKSDB_DYNAMIC_any.out time: 3.95472 sampled_fp_rate: 0.00988943 ... Also note the dramatic speed improvement vs. alternatives. -- Performance unit test: DynamicBloomTest.concurrent_with_perf is updated to report more precise timing data. (Measure running time of each thread, not just longest running thread, etc.) Results averaged over various sizes enabled with --enable_perf and 20 runs each; old dynamic bloom refers to locality=1, the faster of the old: old dynamic bloom, avg add latency = 65.6468 new dynamic bloom, avg add latency = 44.3809 old dynamic bloom, avg query latency = 50.6485 new dynamic bloom, avg query latency = 43.2186 old avg parallel add latency = 41.678 new avg parallel add latency = 24.5238 old avg parallel hit latency = 14.6322 new avg parallel hit latency = 12.3939 old avg parallel miss latency = 16.7289 new avg parallel miss latency = 12.2134 Tested on a dedicated 64-bit production machine at Facebook. Significant improvement all around. Despite now using std::atomic<uint64_t>, quick before-and-after test on a 32-bit machine (Intel Atom N270, released 2008) shows no regression in performance, in some cases modest improvement. -- Performance integration test (synthetic): with DEBUG_LEVEL=0, used TEST_TMPDIR=/dev/shm ./db_bench --benchmarks=fillrandom,readmissing,readrandom,stats --num=2000000 and optionally with -memtable_whole_key_filtering -memtable_bloom_size_ratio=0.01 300 runs each configuration. Write throughput change by enabling memtable bloom: Old locality=0: -3.06% Old locality=1: -2.37% New: -1.50% conclusion -> seems to substantially close the gap Readmissing throughput change by enabling memtable bloom: Old locality=0: +34.47% Old locality=1: +34.80% New: +33.25% conclusion -> maybe a small new penalty from FP rate Readrandom throughput change by enabling memtable bloom: Old locality=0: +31.54% Old locality=1: +31.13% New: +30.60% conclusion -> maybe also from FP rate (after memtable flush) -- Another conclusion we can draw from this new implementation is that the existing 32-bit hash function is not inherently crippling the Bloom filter speed or accuracy, below about 5 million keys. For speed, the implementation is essentially the same whether starting with 32-bits or 64-bits of hash; it just determines whether the first multiplication after fastrange is a pseudorandom expansion or needed re-mix. Note that this multiplication can occur while memory is fetching. For accuracy, in a standard configuration, you need about 5 million keys before you have about a 1.1x FP penalty due to using a 32-bit hash vs. 64-bit: [~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out $((5 * 1000 * 1000 * 10)) 6 10 $RANDOM 100000000 ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out time: 2.52069 sampled_fp_rate: 0.0118267 ... [~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_any.out $((5 * 1000 * 1000 * 10)) 6 10 $RANDOM 100000000 ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_any.out time: 2.43871 sampled_fp_rate: 0.0109059 Pull Request resolved: https://github.com/facebook/rocksdb/pull/5762 Differential Revision: D17214194 Pulled By: pdillinger fbshipit-source-id: ad9da031772e985fd6b62a0e1db8e81892520595
5 years ago
// An alternative to % for mapping a hash value to an arbitrary range. See
// https://github.com/lemire/fastrange
inline uint32_t fastrange32(uint32_t hash, uint32_t range) {
uint64_t product = uint64_t{range} * hash;
Faster new DynamicBloom implementation (for memtable) (#5762) Summary: Since DynamicBloom is now only used in-memory, we're free to change it without schema compatibility issues. The new implementation is drawn from (with manifest permission) https://github.com/pdillinger/wormhashing/blob/303542a767437f56d8b66cea6ebecaac0e6a61e9/bloom_simulation_tests/foo.cc#L613 This has several speed advantages over the prior implementation: * Uses fastrange instead of % * Minimum logic to determine first (and all) probed memory addresses * (Major) Two probes per 64-bit memory fetch/write. * Very fast and effective (murmur-like) hash expansion/re-mixing. (At least on recent CPUs, integer multiplication is very cheap.) While a Bloom filter with 512-bit cache locality has about a 1.15x FP rate penalty (e.g. 0.84% to 0.97%), further restricting to two probes per 64 bits incurs an additional 1.12x FP rate penalty (e.g. 0.97% to 1.09%). Nevertheless, the unit tests show no "mediocre" FP rate samples, unlike the old implementation with more erratic FP rates. Especially for the memtable, we expect speed to outweigh somewhat higher FP rates. For example, a negative table query would have to be 1000x slower than a BF query to justify doubling BF query time to shave 10% off FP rate (working assumption around 1% FP rate). While that seems likely for SSTs, my data suggests a speed factor of roughly 50x for the memtable (vs. BF; ~1.5% lower write throughput when enabling memtable Bloom filter, after this change). Thus, it's probably not worth even 5% more time in the Bloom filter to shave off 1/10th of the Bloom FP rate, or 0.1% in absolute terms, and it's probably at least 20% slower to recoup that much FP rate from this new implementation. Because of this, we do not see a need for a 'locality' option that affects the MemTable Bloom filter and have decoupled the MemTable Bloom filter from Options::bloom_locality. Note that just 3% more memory to the Bloom filter (10.3 bits per key vs. just 10) is able to make up for the ~12% FP rate drop in the new implementation: [] # Nearly "ideal" FP-wise but reasonably fast cache-local implementation [~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_WORM64_FROM32_any.out 10000000 6 10 $RANDOM 100000000 ./foo_gcc_IMPL_CACHE_WORM64_FROM32_any.out time: 3.29372 sampled_fp_rate: 0.00985956 ... [] # Close match to this new implementation [~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out 10000000 6 10.3 $RANDOM 100000000 ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out time: 2.10072 sampled_fp_rate: 0.00985655 ... [] # Old locality=1 implementation [~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_ROCKSDB_DYNAMIC_any.out 10000000 6 10 $RANDOM 100000000 ./foo_gcc_IMPL_CACHE_ROCKSDB_DYNAMIC_any.out time: 3.95472 sampled_fp_rate: 0.00988943 ... Also note the dramatic speed improvement vs. alternatives. -- Performance unit test: DynamicBloomTest.concurrent_with_perf is updated to report more precise timing data. (Measure running time of each thread, not just longest running thread, etc.) Results averaged over various sizes enabled with --enable_perf and 20 runs each; old dynamic bloom refers to locality=1, the faster of the old: old dynamic bloom, avg add latency = 65.6468 new dynamic bloom, avg add latency = 44.3809 old dynamic bloom, avg query latency = 50.6485 new dynamic bloom, avg query latency = 43.2186 old avg parallel add latency = 41.678 new avg parallel add latency = 24.5238 old avg parallel hit latency = 14.6322 new avg parallel hit latency = 12.3939 old avg parallel miss latency = 16.7289 new avg parallel miss latency = 12.2134 Tested on a dedicated 64-bit production machine at Facebook. Significant improvement all around. Despite now using std::atomic<uint64_t>, quick before-and-after test on a 32-bit machine (Intel Atom N270, released 2008) shows no regression in performance, in some cases modest improvement. -- Performance integration test (synthetic): with DEBUG_LEVEL=0, used TEST_TMPDIR=/dev/shm ./db_bench --benchmarks=fillrandom,readmissing,readrandom,stats --num=2000000 and optionally with -memtable_whole_key_filtering -memtable_bloom_size_ratio=0.01 300 runs each configuration. Write throughput change by enabling memtable bloom: Old locality=0: -3.06% Old locality=1: -2.37% New: -1.50% conclusion -> seems to substantially close the gap Readmissing throughput change by enabling memtable bloom: Old locality=0: +34.47% Old locality=1: +34.80% New: +33.25% conclusion -> maybe a small new penalty from FP rate Readrandom throughput change by enabling memtable bloom: Old locality=0: +31.54% Old locality=1: +31.13% New: +30.60% conclusion -> maybe also from FP rate (after memtable flush) -- Another conclusion we can draw from this new implementation is that the existing 32-bit hash function is not inherently crippling the Bloom filter speed or accuracy, below about 5 million keys. For speed, the implementation is essentially the same whether starting with 32-bits or 64-bits of hash; it just determines whether the first multiplication after fastrange is a pseudorandom expansion or needed re-mix. Note that this multiplication can occur while memory is fetching. For accuracy, in a standard configuration, you need about 5 million keys before you have about a 1.1x FP penalty due to using a 32-bit hash vs. 64-bit: [~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out $((5 * 1000 * 1000 * 10)) 6 10 $RANDOM 100000000 ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out time: 2.52069 sampled_fp_rate: 0.0118267 ... [~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_any.out $((5 * 1000 * 1000 * 10)) 6 10 $RANDOM 100000000 ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_any.out time: 2.43871 sampled_fp_rate: 0.0109059 Pull Request resolved: https://github.com/facebook/rocksdb/pull/5762 Differential Revision: D17214194 Pulled By: pdillinger fbshipit-source-id: ad9da031772e985fd6b62a0e1db8e81892520595
5 years ago
return static_cast<uint32_t>(product >> 32);
}
// An alternative to % for mapping a 64-bit hash value to an arbitrary range
// that fits in size_t. See https://github.com/lemire/fastrange
// We find size_t more convenient than uint64_t for the range, with side
// benefit of better optimization on 32-bit platforms.
inline size_t fastrange64(uint64_t hash, size_t range) {
#if defined(HAVE_UINT128_EXTENSION)
// Can use compiler's 128-bit type. Trust it to do the right thing.
__uint128_t wide = __uint128_t{range} * hash;
return static_cast<size_t>(wide >> 64);
#else
// Fall back: full decomposition.
// NOTE: GCC seems to fully understand this code as 64-bit x {32 or 64}-bit
// -> {96 or 128}-bit multiplication and optimize it down to a single
// wide-result multiplication (64-bit platform) or two wide-result
// multiplications (32-bit platforms, where range64 >> 32 is zero).
uint64_t range64 = range; // ok to shift by 32, even if size_t is 32-bit
uint64_t tmp = uint64_t{range64 & 0xffffFFFF} * uint64_t{hash & 0xffffFFFF};
tmp >>= 32;
tmp += uint64_t{range64 & 0xffffFFFF} * uint64_t{hash >> 32};
// Avoid overflow: first add lower 32 of tmp2, and later upper 32
uint64_t tmp2 = uint64_t{range64 >> 32} * uint64_t{hash & 0xffffFFFF};
tmp += static_cast<uint32_t>(tmp2);
tmp >>= 32;
tmp += (tmp2 >> 32);
tmp += uint64_t{range64 >> 32} * uint64_t{hash >> 32};
return static_cast<size_t>(tmp);
#endif
}
} // namespace ROCKSDB_NAMESPACE