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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-27 18:24:20 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-27 18:24:20 +0000 |
commit | 483eb2f56657e8e7f419ab1a4fab8dce9ade8609 (patch) | |
tree | e5d88d25d870d5dedacb6bbdbe2a966086a0a5cf /src/rocksdb/util/random.h | |
parent | Initial commit. (diff) | |
download | ceph-upstream.tar.xz ceph-upstream.zip |
Adding upstream version 14.2.21.upstream/14.2.21upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to '')
-rw-r--r-- | src/rocksdb/util/random.h | 109 |
1 files changed, 109 insertions, 0 deletions
diff --git a/src/rocksdb/util/random.h b/src/rocksdb/util/random.h new file mode 100644 index 00000000..2a5fcbc6 --- /dev/null +++ b/src/rocksdb/util/random.h @@ -0,0 +1,109 @@ +// Copyright (c) 2011-present, Facebook, Inc. All rights reserved. +// This source code is licensed under both the GPLv2 (found in the +// COPYING file in the root directory) and Apache 2.0 License +// (found in the LICENSE.Apache file in the root directory). +// +// Copyright (c) 2011 The LevelDB Authors. All rights reserved. +// Use of this source code is governed by a BSD-style license that can be +// found in the LICENSE file. See the AUTHORS file for names of contributors. + +#pragma once +#include <random> +#include <stdint.h> + +namespace rocksdb { + +// A very simple random number generator. Not especially good at +// generating truly random bits, but good enough for our needs in this +// package. +class Random { + private: + enum : uint32_t { + M = 2147483647L // 2^31-1 + }; + enum : uint64_t { + A = 16807 // bits 14, 8, 7, 5, 2, 1, 0 + }; + + uint32_t seed_; + + static uint32_t GoodSeed(uint32_t s) { return (s & M) != 0 ? (s & M) : 1; } + + public: + // This is the largest value that can be returned from Next() + enum : uint32_t { kMaxNext = M }; + + explicit Random(uint32_t s) : seed_(GoodSeed(s)) {} + + void Reset(uint32_t s) { seed_ = GoodSeed(s); } + + uint32_t Next() { + // We are computing + // seed_ = (seed_ * A) % M, where M = 2^31-1 + // + // seed_ must not be zero or M, or else all subsequent computed values + // will be zero or M respectively. For all other values, seed_ will end + // up cycling through every number in [1,M-1] + uint64_t product = seed_ * A; + + // Compute (product % M) using the fact that ((x << 31) % M) == x. + seed_ = static_cast<uint32_t>((product >> 31) + (product & M)); + // The first reduction may overflow by 1 bit, so we may need to + // repeat. mod == M is not possible; using > allows the faster + // sign-bit-based test. + if (seed_ > M) { + seed_ -= M; + } + return seed_; + } + + // Returns a uniformly distributed value in the range [0..n-1] + // REQUIRES: n > 0 + uint32_t Uniform(int n) { return Next() % n; } + + // Randomly returns true ~"1/n" of the time, and false otherwise. + // REQUIRES: n > 0 + bool OneIn(int n) { return (Next() % n) == 0; } + + // Skewed: pick "base" uniformly from range [0,max_log] and then + // return "base" random bits. The effect is to pick a number in the + // range [0,2^max_log-1] with exponential bias towards smaller numbers. + uint32_t Skewed(int max_log) { + return Uniform(1 << Uniform(max_log + 1)); + } + + // Returns a Random instance for use by the current thread without + // additional locking + static Random* GetTLSInstance(); +}; + +// A simple 64bit random number generator based on std::mt19937_64 +class Random64 { + private: + std::mt19937_64 generator_; + + public: + explicit Random64(uint64_t s) : generator_(s) { } + + // Generates the next random number + uint64_t Next() { return generator_(); } + + // Returns a uniformly distributed value in the range [0..n-1] + // REQUIRES: n > 0 + uint64_t Uniform(uint64_t n) { + return std::uniform_int_distribution<uint64_t>(0, n - 1)(generator_); + } + + // Randomly returns true ~"1/n" of the time, and false otherwise. + // REQUIRES: n > 0 + bool OneIn(uint64_t n) { return Uniform(n) == 0; } + + // Skewed: pick "base" uniformly from range [0,max_log] and then + // return "base" random bits. The effect is to pick a number in the + // range [0,2^max_log-1] with exponential bias towards smaller numbers. + uint64_t Skewed(int max_log) { + return Uniform(uint64_t(1) << Uniform(max_log + 1)); + } +}; + +} // namespace rocksdb |