Add a new mem-table representation based on cuckoo hash.
Summary:
= Major Changes =
* Add a new mem-table representation, HashCuckooRep, which is based cuckoo hash.
Cuckoo hash uses multiple hash functions. This allows each key to have multiple
possible locations in the mem-table.
- Put: When insert a key, it will try to find whether one of its possible
locations is vacant and store the key. If none of its possible
locations are available, then it will kick out a victim key and
store at that location. The kicked-out victim key will then be
stored at a vacant space of its possible locations or kick-out
another victim. In this diff, the kick-out path (known as
cuckoo-path) is found using BFS, which guarantees to be the shortest.
- Get: Simply tries all possible locations of a key --- this guarantees
worst-case constant time complexity.
- Time complexity: O(1) for Get, and average O(1) for Put if the
fullness of the mem-table is below 80%.
- Default using two hash functions, the number of hash functions used
by the cuckoo-hash may dynamically increase if it fails to find a
short-enough kick-out path.
- Currently, HashCuckooRep does not support iteration and snapshots,
as our current main purpose of this is to optimize point access.
= Minor Changes =
* Add IsSnapshotSupported() to DB to indicate whether the current DB
supports snapshots. If it returns false, then DB::GetSnapshot() will
always return nullptr.
Test Plan:
Run existing tests. Will develop a test specifically for cuckoo hash in
the next diff.
Reviewers: sdong, haobo
Reviewed By: sdong
CC: leveldb, dhruba, igor
Differential Revision: https://reviews.facebook.net/D16155
2014-04-30 00:13:46 +00:00
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// Copyright (c) 2014, Facebook, Inc. All rights reserved.
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree. An additional grant
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// of patent rights can be found in the PATENTS file in the same directory.
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//
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#ifndef ROCKSDB_LITE
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#include "util/hash_cuckoo_rep.h"
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#include <algorithm>
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#include <atomic>
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#include <limits>
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#include <queue>
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#include <string>
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#include <memory>
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#include <vector>
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#include "rocksdb/memtablerep.h"
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#include "util/murmurhash.h"
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#include "db/memtable.h"
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#include "db/skiplist.h"
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#include "util/stl_wrappers.h"
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namespace rocksdb {
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namespace {
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// the default maximum size of the cuckoo path searching queue
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static const int kCuckooPathMaxSearchSteps = 100;
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struct CuckooStep {
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static const int kNullStep = -1;
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// the bucket id in the cuckoo array.
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int bucket_id_;
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// index of cuckoo-step array that points to its previous step,
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// -1 if it the beginning step.
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int prev_step_id_;
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// the depth of the current step.
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unsigned int depth_;
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CuckooStep() : bucket_id_(-1), prev_step_id_(kNullStep), depth_(1) {}
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CuckooStep(CuckooStep&&) = default;
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CuckooStep& operator=(CuckooStep&&) = default;
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CuckooStep(const CuckooStep&) = delete;
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CuckooStep& operator=(const CuckooStep&) = delete;
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CuckooStep(int bucket_id, int prev_step_id, int depth)
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: bucket_id_(bucket_id), prev_step_id_(prev_step_id), depth_(depth) {}
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};
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class HashCuckooRep : public MemTableRep {
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public:
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explicit HashCuckooRep(const MemTableRep::KeyComparator& compare,
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Arena* arena, const size_t bucket_count,
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const unsigned int hash_func_count)
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: MemTableRep(arena),
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compare_(compare),
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arena_(arena),
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bucket_count_(bucket_count),
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cuckoo_path_max_depth_(kDefaultCuckooPathMaxDepth),
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occupied_count_(0),
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hash_function_count_(hash_func_count),
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backup_table_(nullptr) {
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char* mem = reinterpret_cast<char*>(
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arena_->Allocate(sizeof(std::atomic<const char*>) * bucket_count_));
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cuckoo_array_ = new (mem) std::atomic<const char*>[bucket_count_];
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for (unsigned int bid = 0; bid < bucket_count_; ++bid) {
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cuckoo_array_[bid].store(nullptr, std::memory_order_relaxed);
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}
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cuckoo_path_ = reinterpret_cast<int*>(
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2014-09-05 23:07:14 +00:00
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arena_->Allocate(sizeof(int) * (cuckoo_path_max_depth_ + 1)));
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Add a new mem-table representation based on cuckoo hash.
Summary:
= Major Changes =
* Add a new mem-table representation, HashCuckooRep, which is based cuckoo hash.
Cuckoo hash uses multiple hash functions. This allows each key to have multiple
possible locations in the mem-table.
- Put: When insert a key, it will try to find whether one of its possible
locations is vacant and store the key. If none of its possible
locations are available, then it will kick out a victim key and
store at that location. The kicked-out victim key will then be
stored at a vacant space of its possible locations or kick-out
another victim. In this diff, the kick-out path (known as
cuckoo-path) is found using BFS, which guarantees to be the shortest.
- Get: Simply tries all possible locations of a key --- this guarantees
worst-case constant time complexity.
- Time complexity: O(1) for Get, and average O(1) for Put if the
fullness of the mem-table is below 80%.
- Default using two hash functions, the number of hash functions used
by the cuckoo-hash may dynamically increase if it fails to find a
short-enough kick-out path.
- Currently, HashCuckooRep does not support iteration and snapshots,
as our current main purpose of this is to optimize point access.
= Minor Changes =
* Add IsSnapshotSupported() to DB to indicate whether the current DB
supports snapshots. If it returns false, then DB::GetSnapshot() will
always return nullptr.
Test Plan:
Run existing tests. Will develop a test specifically for cuckoo hash in
the next diff.
Reviewers: sdong, haobo
Reviewed By: sdong
CC: leveldb, dhruba, igor
Differential Revision: https://reviews.facebook.net/D16155
2014-04-30 00:13:46 +00:00
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is_nearly_full_ = false;
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}
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// return false, indicating HashCuckooRep does not support merge operator.
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virtual bool IsMergeOperatorSupported() const override { return false; }
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// return false, indicating HashCuckooRep does not support snapshot.
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virtual bool IsSnapshotSupported() const override { return false; }
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// Returns true iff an entry that compares equal to key is in the collection.
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virtual bool Contains(const char* internal_key) const override;
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virtual ~HashCuckooRep() override {}
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// Insert the specified key (internal_key) into the mem-table. Assertion
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// fails if
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// the current mem-table already contains the specified key.
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virtual void Insert(KeyHandle handle) override;
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// This function returns std::numeric_limits<size_t>::max() in the following
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// three cases to disallow further write operations:
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// 1. when the fullness reaches kMaxFullnes.
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// 2. when the backup_table_ is used.
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//
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// otherwise, this function will always return 0.
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virtual size_t ApproximateMemoryUsage() override {
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if (is_nearly_full_) {
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return std::numeric_limits<size_t>::max();
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}
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return 0;
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}
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virtual void Get(const LookupKey& k, void* callback_args,
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bool (*callback_func)(void* arg,
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const char* entry)) override;
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class Iterator : public MemTableRep::Iterator {
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std::shared_ptr<std::vector<const char*>> bucket_;
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typename std::vector<const char*>::const_iterator mutable cit_;
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const KeyComparator& compare_;
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std::string tmp_; // For passing to EncodeKey
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bool mutable sorted_;
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void DoSort() const;
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public:
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explicit Iterator(std::shared_ptr<std::vector<const char*>> bucket,
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const KeyComparator& compare);
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// Initialize an iterator over the specified collection.
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// The returned iterator is not valid.
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// explicit Iterator(const MemTableRep* collection);
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virtual ~Iterator() override{};
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// Returns true iff the iterator is positioned at a valid node.
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virtual bool Valid() const override;
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// Returns the key at the current position.
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// REQUIRES: Valid()
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virtual const char* key() const override;
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// Advances to the next position.
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// REQUIRES: Valid()
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virtual void Next() override;
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// Advances to the previous position.
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// REQUIRES: Valid()
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virtual void Prev() override;
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// Advance to the first entry with a key >= target
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virtual void Seek(const Slice& user_key, const char* memtable_key) override;
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// Position at the first entry in collection.
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// Final state of iterator is Valid() iff collection is not empty.
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virtual void SeekToFirst() override;
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// Position at the last entry in collection.
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// Final state of iterator is Valid() iff collection is not empty.
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virtual void SeekToLast() override;
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};
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struct CuckooStepBuffer {
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CuckooStepBuffer() : write_index_(0), read_index_(0) {}
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~CuckooStepBuffer() {}
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int write_index_;
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int read_index_;
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CuckooStep steps_[kCuckooPathMaxSearchSteps];
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CuckooStep& NextWriteBuffer() { return steps_[write_index_++]; }
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inline const CuckooStep& ReadNext() { return steps_[read_index_++]; }
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inline bool HasNewWrite() { return write_index_ > read_index_; }
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inline void reset() {
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write_index_ = 0;
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read_index_ = 0;
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}
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inline bool IsFull() { return write_index_ >= kCuckooPathMaxSearchSteps; }
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// returns the number of steps that has been read
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inline int ReadCount() { return read_index_; }
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// returns the number of steps that has been written to the buffer.
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inline int WriteCount() { return write_index_; }
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};
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private:
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const MemTableRep::KeyComparator& compare_;
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// the pointer to Arena to allocate memory, immutable after construction.
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Arena* const arena_;
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// the number of hash bucket in the hash table.
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const size_t bucket_count_;
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// the maxinum depth of the cuckoo path.
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const unsigned int cuckoo_path_max_depth_;
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// the current number of entries in cuckoo_array_ which has been occupied.
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size_t occupied_count_;
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// the current number of hash functions used in the cuckoo hash.
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unsigned int hash_function_count_;
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// the backup MemTableRep to handle the case where cuckoo hash cannot find
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// a vacant bucket for inserting the key of a put request.
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std::shared_ptr<MemTableRep> backup_table_;
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// the array to store pointers, pointing to the actual data.
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std::atomic<const char*>* cuckoo_array_;
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// a buffer to store cuckoo path
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int* cuckoo_path_;
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// a boolean flag indicating whether the fullness of bucket array
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// reaches the point to make the current memtable immutable.
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bool is_nearly_full_;
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// the default maximum depth of the cuckoo path.
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static const unsigned int kDefaultCuckooPathMaxDepth = 10;
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CuckooStepBuffer step_buffer_;
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// returns the bucket id assogied to the input slice based on the
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unsigned int GetHash(const Slice& slice, const int hash_func_id) const {
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// the seeds used in the Murmur hash to produce different hash functions.
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static const int kMurmurHashSeeds[HashCuckooRepFactory::kMaxHashCount] = {
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545609244, 1769731426, 763324157, 13099088, 592422103,
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1899789565, 248369300, 1984183468, 1613664382, 1491157517};
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2014-11-11 21:47:22 +00:00
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return static_cast<unsigned int>(
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MurmurHash(slice.data(), static_cast<int>(slice.size()),
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kMurmurHashSeeds[hash_func_id]) %
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bucket_count_);
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Add a new mem-table representation based on cuckoo hash.
Summary:
= Major Changes =
* Add a new mem-table representation, HashCuckooRep, which is based cuckoo hash.
Cuckoo hash uses multiple hash functions. This allows each key to have multiple
possible locations in the mem-table.
- Put: When insert a key, it will try to find whether one of its possible
locations is vacant and store the key. If none of its possible
locations are available, then it will kick out a victim key and
store at that location. The kicked-out victim key will then be
stored at a vacant space of its possible locations or kick-out
another victim. In this diff, the kick-out path (known as
cuckoo-path) is found using BFS, which guarantees to be the shortest.
- Get: Simply tries all possible locations of a key --- this guarantees
worst-case constant time complexity.
- Time complexity: O(1) for Get, and average O(1) for Put if the
fullness of the mem-table is below 80%.
- Default using two hash functions, the number of hash functions used
by the cuckoo-hash may dynamically increase if it fails to find a
short-enough kick-out path.
- Currently, HashCuckooRep does not support iteration and snapshots,
as our current main purpose of this is to optimize point access.
= Minor Changes =
* Add IsSnapshotSupported() to DB to indicate whether the current DB
supports snapshots. If it returns false, then DB::GetSnapshot() will
always return nullptr.
Test Plan:
Run existing tests. Will develop a test specifically for cuckoo hash in
the next diff.
Reviewers: sdong, haobo
Reviewed By: sdong
CC: leveldb, dhruba, igor
Differential Revision: https://reviews.facebook.net/D16155
2014-04-30 00:13:46 +00:00
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}
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// A cuckoo path is a sequence of bucket ids, where each id points to a
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// location of cuckoo_array_. This path describes the displacement sequence
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// of entries in order to store the desired data specified by the input user
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// key. The path starts from one of the locations associated with the
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// specified user key and ends at a vacant space in the cuckoo array. This
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// function will update the cuckoo_path.
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//
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// @return true if it found a cuckoo path.
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bool FindCuckooPath(const char* internal_key, const Slice& user_key,
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int* cuckoo_path, size_t* cuckoo_path_length,
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int initial_hash_id = 0);
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// Perform quick insert by checking whether there is a vacant bucket in one
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// of the possible locations of the input key. If so, then the function will
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// return true and the key will be stored in that vacant bucket.
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//
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// This function is a helper function of FindCuckooPath that discovers the
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// first possible steps of a cuckoo path. It begins by first computing
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// the possible locations of the input keys (and stores them in bucket_ids.)
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// Then, if one of its possible locations is vacant, then the input key will
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// be stored in that vacant space and the function will return true.
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// Otherwise, the function will return false indicating a complete search
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// of cuckoo-path is needed.
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bool QuickInsert(const char* internal_key, const Slice& user_key,
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int bucket_ids[], const int initial_hash_id);
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// Returns the pointer to the internal iterator to the buckets where buckets
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// are sorted according to the user specified KeyComparator. Note that
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// any insert after this function call may affect the sorted nature of
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// the returned iterator.
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In DB::NewIterator(), try to allocate the whole iterator tree in an arena
Summary:
In this patch, try to allocate the whole iterator tree starting from DBIter from an arena
1. ArenaWrappedDBIter is created when serves as the entry point of an iterator tree, with an arena in it.
2. Add an option to create iterator from arena for following iterators: DBIter, MergingIterator, MemtableIterator, all mem table's iterators, all table reader's iterators and two level iterator.
3. MergeIteratorBuilder is created to incrementally build the tree of internal iterators. It is passed to mem table list and version set and add iterators to it.
Limitations:
(1) Only DB::NewIterator() without tailing uses the arena. Other cases, including readonly DB and compactions are still from malloc
(2) Two level iterator itself is allocated in arena, but not iterators inside it.
Test Plan: make all check
Reviewers: ljin, haobo
Reviewed By: haobo
Subscribers: leveldb, dhruba, yhchiang, igor
Differential Revision: https://reviews.facebook.net/D18513
2014-06-02 23:38:00 +00:00
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virtual MemTableRep::Iterator* GetIterator(Arena* arena) override {
|
Add a new mem-table representation based on cuckoo hash.
Summary:
= Major Changes =
* Add a new mem-table representation, HashCuckooRep, which is based cuckoo hash.
Cuckoo hash uses multiple hash functions. This allows each key to have multiple
possible locations in the mem-table.
- Put: When insert a key, it will try to find whether one of its possible
locations is vacant and store the key. If none of its possible
locations are available, then it will kick out a victim key and
store at that location. The kicked-out victim key will then be
stored at a vacant space of its possible locations or kick-out
another victim. In this diff, the kick-out path (known as
cuckoo-path) is found using BFS, which guarantees to be the shortest.
- Get: Simply tries all possible locations of a key --- this guarantees
worst-case constant time complexity.
- Time complexity: O(1) for Get, and average O(1) for Put if the
fullness of the mem-table is below 80%.
- Default using two hash functions, the number of hash functions used
by the cuckoo-hash may dynamically increase if it fails to find a
short-enough kick-out path.
- Currently, HashCuckooRep does not support iteration and snapshots,
as our current main purpose of this is to optimize point access.
= Minor Changes =
* Add IsSnapshotSupported() to DB to indicate whether the current DB
supports snapshots. If it returns false, then DB::GetSnapshot() will
always return nullptr.
Test Plan:
Run existing tests. Will develop a test specifically for cuckoo hash in
the next diff.
Reviewers: sdong, haobo
Reviewed By: sdong
CC: leveldb, dhruba, igor
Differential Revision: https://reviews.facebook.net/D16155
2014-04-30 00:13:46 +00:00
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std::vector<const char*> compact_buckets;
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for (unsigned int bid = 0; bid < bucket_count_; ++bid) {
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const char* bucket = cuckoo_array_[bid].load(std::memory_order_relaxed);
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if (bucket != nullptr) {
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|
|
compact_buckets.push_back(bucket);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
MemTableRep* backup_table = backup_table_.get();
|
|
|
|
if (backup_table != nullptr) {
|
|
|
|
std::unique_ptr<MemTableRep::Iterator> iter(backup_table->GetIterator());
|
|
|
|
for (iter->SeekToFirst(); iter->Valid(); iter->Next()) {
|
|
|
|
compact_buckets.push_back(iter->key());
|
|
|
|
}
|
|
|
|
}
|
In DB::NewIterator(), try to allocate the whole iterator tree in an arena
Summary:
In this patch, try to allocate the whole iterator tree starting from DBIter from an arena
1. ArenaWrappedDBIter is created when serves as the entry point of an iterator tree, with an arena in it.
2. Add an option to create iterator from arena for following iterators: DBIter, MergingIterator, MemtableIterator, all mem table's iterators, all table reader's iterators and two level iterator.
3. MergeIteratorBuilder is created to incrementally build the tree of internal iterators. It is passed to mem table list and version set and add iterators to it.
Limitations:
(1) Only DB::NewIterator() without tailing uses the arena. Other cases, including readonly DB and compactions are still from malloc
(2) Two level iterator itself is allocated in arena, but not iterators inside it.
Test Plan: make all check
Reviewers: ljin, haobo
Reviewed By: haobo
Subscribers: leveldb, dhruba, yhchiang, igor
Differential Revision: https://reviews.facebook.net/D18513
2014-06-02 23:38:00 +00:00
|
|
|
if (arena == nullptr) {
|
|
|
|
return new Iterator(
|
|
|
|
std::shared_ptr<std::vector<const char*>>(
|
|
|
|
new std::vector<const char*>(std::move(compact_buckets))),
|
|
|
|
compare_);
|
|
|
|
} else {
|
|
|
|
auto mem = arena->AllocateAligned(sizeof(Iterator));
|
|
|
|
return new (mem) Iterator(
|
|
|
|
std::shared_ptr<std::vector<const char*>>(
|
|
|
|
new std::vector<const char*>(std::move(compact_buckets))),
|
|
|
|
compare_);
|
|
|
|
}
|
Add a new mem-table representation based on cuckoo hash.
Summary:
= Major Changes =
* Add a new mem-table representation, HashCuckooRep, which is based cuckoo hash.
Cuckoo hash uses multiple hash functions. This allows each key to have multiple
possible locations in the mem-table.
- Put: When insert a key, it will try to find whether one of its possible
locations is vacant and store the key. If none of its possible
locations are available, then it will kick out a victim key and
store at that location. The kicked-out victim key will then be
stored at a vacant space of its possible locations or kick-out
another victim. In this diff, the kick-out path (known as
cuckoo-path) is found using BFS, which guarantees to be the shortest.
- Get: Simply tries all possible locations of a key --- this guarantees
worst-case constant time complexity.
- Time complexity: O(1) for Get, and average O(1) for Put if the
fullness of the mem-table is below 80%.
- Default using two hash functions, the number of hash functions used
by the cuckoo-hash may dynamically increase if it fails to find a
short-enough kick-out path.
- Currently, HashCuckooRep does not support iteration and snapshots,
as our current main purpose of this is to optimize point access.
= Minor Changes =
* Add IsSnapshotSupported() to DB to indicate whether the current DB
supports snapshots. If it returns false, then DB::GetSnapshot() will
always return nullptr.
Test Plan:
Run existing tests. Will develop a test specifically for cuckoo hash in
the next diff.
Reviewers: sdong, haobo
Reviewed By: sdong
CC: leveldb, dhruba, igor
Differential Revision: https://reviews.facebook.net/D16155
2014-04-30 00:13:46 +00:00
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
void HashCuckooRep::Get(const LookupKey& key, void* callback_args,
|
|
|
|
bool (*callback_func)(void* arg, const char* entry)) {
|
|
|
|
Slice user_key = key.user_key();
|
|
|
|
for (unsigned int hid = 0; hid < hash_function_count_; ++hid) {
|
|
|
|
const char* bucket =
|
|
|
|
cuckoo_array_[GetHash(user_key, hid)].load(std::memory_order_acquire);
|
|
|
|
if (bucket != nullptr) {
|
|
|
|
auto bucket_user_key = UserKey(bucket);
|
|
|
|
if (user_key.compare(bucket_user_key) == 0) {
|
|
|
|
callback_func(callback_args, bucket);
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
// as Put() always stores at the vacant bucket located by the
|
|
|
|
// hash function with the smallest possible id, when we first
|
|
|
|
// find a vacant bucket in Get(), that means a miss.
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
MemTableRep* backup_table = backup_table_.get();
|
|
|
|
if (backup_table != nullptr) {
|
|
|
|
backup_table->Get(key, callback_args, callback_func);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void HashCuckooRep::Insert(KeyHandle handle) {
|
|
|
|
static const float kMaxFullness = 0.90;
|
|
|
|
|
|
|
|
auto* key = static_cast<char*>(handle);
|
|
|
|
int initial_hash_id = 0;
|
|
|
|
size_t cuckoo_path_length = 0;
|
|
|
|
auto user_key = UserKey(key);
|
|
|
|
// find cuckoo path
|
|
|
|
if (FindCuckooPath(key, user_key, cuckoo_path_, &cuckoo_path_length,
|
|
|
|
initial_hash_id) == false) {
|
|
|
|
// if true, then we can't find a vacant bucket for this key even we
|
|
|
|
// have used up all the hash functions. Then use a backup memtable to
|
|
|
|
// store such key, which will further make this mem-table become
|
|
|
|
// immutable.
|
|
|
|
if (backup_table_.get() == nullptr) {
|
|
|
|
VectorRepFactory factory(10);
|
2014-05-04 22:52:23 +00:00
|
|
|
backup_table_.reset(
|
|
|
|
factory.CreateMemTableRep(compare_, arena_, nullptr, nullptr));
|
Add a new mem-table representation based on cuckoo hash.
Summary:
= Major Changes =
* Add a new mem-table representation, HashCuckooRep, which is based cuckoo hash.
Cuckoo hash uses multiple hash functions. This allows each key to have multiple
possible locations in the mem-table.
- Put: When insert a key, it will try to find whether one of its possible
locations is vacant and store the key. If none of its possible
locations are available, then it will kick out a victim key and
store at that location. The kicked-out victim key will then be
stored at a vacant space of its possible locations or kick-out
another victim. In this diff, the kick-out path (known as
cuckoo-path) is found using BFS, which guarantees to be the shortest.
- Get: Simply tries all possible locations of a key --- this guarantees
worst-case constant time complexity.
- Time complexity: O(1) for Get, and average O(1) for Put if the
fullness of the mem-table is below 80%.
- Default using two hash functions, the number of hash functions used
by the cuckoo-hash may dynamically increase if it fails to find a
short-enough kick-out path.
- Currently, HashCuckooRep does not support iteration and snapshots,
as our current main purpose of this is to optimize point access.
= Minor Changes =
* Add IsSnapshotSupported() to DB to indicate whether the current DB
supports snapshots. If it returns false, then DB::GetSnapshot() will
always return nullptr.
Test Plan:
Run existing tests. Will develop a test specifically for cuckoo hash in
the next diff.
Reviewers: sdong, haobo
Reviewed By: sdong
CC: leveldb, dhruba, igor
Differential Revision: https://reviews.facebook.net/D16155
2014-04-30 00:13:46 +00:00
|
|
|
is_nearly_full_ = true;
|
|
|
|
}
|
|
|
|
backup_table_->Insert(key);
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
// when reaching this point, means the insert can be done successfully.
|
|
|
|
occupied_count_++;
|
|
|
|
if (occupied_count_ >= bucket_count_ * kMaxFullness) {
|
|
|
|
is_nearly_full_ = true;
|
|
|
|
}
|
|
|
|
|
|
|
|
// perform kickout process if the length of cuckoo path > 1.
|
|
|
|
if (cuckoo_path_length == 0) return;
|
|
|
|
|
|
|
|
// the cuckoo path stores the kickout path in reverse order.
|
|
|
|
// so the kickout or displacement is actually performed
|
|
|
|
// in reverse order, which avoids false-negatives on read
|
|
|
|
// by moving each key involved in the cuckoo path to the new
|
|
|
|
// location before replacing it.
|
|
|
|
for (size_t i = 1; i < cuckoo_path_length; ++i) {
|
|
|
|
int kicked_out_bid = cuckoo_path_[i - 1];
|
|
|
|
int current_bid = cuckoo_path_[i];
|
|
|
|
// since we only allow one writer at a time, it is safe to do relaxed read.
|
|
|
|
cuckoo_array_[kicked_out_bid]
|
|
|
|
.store(cuckoo_array_[current_bid].load(std::memory_order_relaxed),
|
|
|
|
std::memory_order_release);
|
|
|
|
}
|
|
|
|
int insert_key_bid = cuckoo_path_[cuckoo_path_length - 1];
|
|
|
|
cuckoo_array_[insert_key_bid].store(key, std::memory_order_release);
|
|
|
|
}
|
|
|
|
|
|
|
|
bool HashCuckooRep::Contains(const char* internal_key) const {
|
|
|
|
auto user_key = UserKey(internal_key);
|
|
|
|
for (unsigned int hid = 0; hid < hash_function_count_; ++hid) {
|
|
|
|
const char* stored_key =
|
|
|
|
cuckoo_array_[GetHash(user_key, hid)].load(std::memory_order_acquire);
|
|
|
|
if (stored_key != nullptr) {
|
|
|
|
if (compare_(internal_key, stored_key) == 0) {
|
|
|
|
return true;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
|
|
|
|
bool HashCuckooRep::QuickInsert(const char* internal_key, const Slice& user_key,
|
|
|
|
int bucket_ids[], const int initial_hash_id) {
|
|
|
|
int cuckoo_bucket_id = -1;
|
|
|
|
|
|
|
|
// Below does the followings:
|
|
|
|
// 0. Calculate all possible locations of the input key.
|
|
|
|
// 1. Check if there is a bucket having same user_key as the input does.
|
|
|
|
// 2. If there exists such bucket, then replace this bucket by the newly
|
|
|
|
// insert data and return. This step also performs duplication check.
|
|
|
|
// 3. If no such bucket exists but exists a vacant bucket, then insert the
|
|
|
|
// input data into it.
|
|
|
|
// 4. If step 1 to 3 all fail, then return false.
|
|
|
|
for (unsigned int hid = initial_hash_id; hid < hash_function_count_; ++hid) {
|
|
|
|
bucket_ids[hid] = GetHash(user_key, hid);
|
|
|
|
// since only one PUT is allowed at a time, and this is part of the PUT
|
|
|
|
// operation, so we can safely perform relaxed load.
|
|
|
|
const char* stored_key =
|
|
|
|
cuckoo_array_[bucket_ids[hid]].load(std::memory_order_relaxed);
|
|
|
|
if (stored_key == nullptr) {
|
|
|
|
if (cuckoo_bucket_id == -1) {
|
|
|
|
cuckoo_bucket_id = bucket_ids[hid];
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
const auto bucket_user_key = UserKey(stored_key);
|
|
|
|
if (bucket_user_key.compare(user_key) == 0) {
|
|
|
|
cuckoo_bucket_id = bucket_ids[hid];
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
if (cuckoo_bucket_id != -1) {
|
|
|
|
cuckoo_array_[cuckoo_bucket_id]
|
|
|
|
.store(internal_key, std::memory_order_release);
|
|
|
|
return true;
|
|
|
|
}
|
|
|
|
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
|
|
|
|
// Perform pre-check and find the shortest cuckoo path. A cuckoo path
|
|
|
|
// is a displacement sequence for inserting the specified input key.
|
|
|
|
//
|
|
|
|
// @return true if it successfully found a vacant space or cuckoo-path.
|
|
|
|
// If the return value is true but the length of cuckoo_path is zero,
|
|
|
|
// then it indicates that a vacant bucket or an bucket with matched user
|
|
|
|
// key with the input is found, and a quick insertion is done.
|
|
|
|
bool HashCuckooRep::FindCuckooPath(const char* internal_key,
|
|
|
|
const Slice& user_key, int* cuckoo_path,
|
|
|
|
size_t* cuckoo_path_length,
|
|
|
|
const int initial_hash_id) {
|
|
|
|
int bucket_ids[HashCuckooRepFactory::kMaxHashCount];
|
|
|
|
*cuckoo_path_length = 0;
|
|
|
|
|
|
|
|
if (QuickInsert(internal_key, user_key, bucket_ids, initial_hash_id)) {
|
|
|
|
return true;
|
|
|
|
}
|
|
|
|
// If this step is reached, then it means:
|
|
|
|
// 1. no vacant bucket in any of the possible locations of the input key.
|
|
|
|
// 2. none of the possible locations of the input key has the same user
|
|
|
|
// key as the input `internal_key`.
|
|
|
|
|
|
|
|
// the front and back indices for the step_queue_
|
|
|
|
step_buffer_.reset();
|
|
|
|
|
|
|
|
for (unsigned int hid = initial_hash_id; hid < hash_function_count_; ++hid) {
|
|
|
|
/// CuckooStep& current_step = step_queue_[front_pos++];
|
|
|
|
CuckooStep& current_step = step_buffer_.NextWriteBuffer();
|
|
|
|
current_step.bucket_id_ = bucket_ids[hid];
|
|
|
|
current_step.prev_step_id_ = CuckooStep::kNullStep;
|
|
|
|
current_step.depth_ = 1;
|
|
|
|
}
|
|
|
|
|
|
|
|
while (step_buffer_.HasNewWrite()) {
|
|
|
|
int step_id = step_buffer_.read_index_;
|
|
|
|
const CuckooStep& step = step_buffer_.ReadNext();
|
|
|
|
// Since it's a BFS process, then the first step with its depth deeper
|
|
|
|
// than the maximum allowed depth indicates all the remaining steps
|
|
|
|
// in the step buffer queue will all exceed the maximum depth.
|
|
|
|
// Return false immediately indicating we can't find a vacant bucket
|
|
|
|
// for the input key before the maximum allowed depth.
|
|
|
|
if (step.depth_ >= cuckoo_path_max_depth_) {
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
// again, we can perform no barrier load safely here as the current
|
|
|
|
// thread is the only writer.
|
|
|
|
auto bucket_user_key =
|
|
|
|
UserKey(cuckoo_array_[step.bucket_id_].load(std::memory_order_relaxed));
|
|
|
|
if (step.prev_step_id_ != CuckooStep::kNullStep) {
|
|
|
|
if (bucket_user_key.compare(user_key) == 0) {
|
|
|
|
// then there is a loop in the current path, stop discovering this path.
|
|
|
|
continue;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
// if the current bucket stores at its nth location, then we only consider
|
|
|
|
// its mth location where m > n. This property makes sure that all reads
|
|
|
|
// will not miss if we do have data associated to the query key.
|
|
|
|
//
|
|
|
|
// The n and m in the above statement is the start_hid and hid in the code.
|
|
|
|
unsigned int start_hid = hash_function_count_;
|
|
|
|
for (unsigned int hid = 0; hid < hash_function_count_; ++hid) {
|
|
|
|
bucket_ids[hid] = GetHash(bucket_user_key, hid);
|
|
|
|
if (step.bucket_id_ == bucket_ids[hid]) {
|
|
|
|
start_hid = hid;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
// must found a bucket which is its current "home".
|
|
|
|
assert(start_hid != hash_function_count_);
|
|
|
|
|
|
|
|
// explore all possible next steps from the current step.
|
|
|
|
for (unsigned int hid = start_hid + 1; hid < hash_function_count_; ++hid) {
|
|
|
|
CuckooStep& next_step = step_buffer_.NextWriteBuffer();
|
|
|
|
next_step.bucket_id_ = bucket_ids[hid];
|
|
|
|
next_step.prev_step_id_ = step_id;
|
|
|
|
next_step.depth_ = step.depth_ + 1;
|
|
|
|
// once a vacant bucket is found, trace back all its previous steps
|
|
|
|
// to generate a cuckoo path.
|
|
|
|
if (cuckoo_array_[next_step.bucket_id_].load(std::memory_order_relaxed) ==
|
|
|
|
nullptr) {
|
|
|
|
// store the last step in the cuckoo path. Note that cuckoo_path
|
|
|
|
// stores steps in reverse order. This allows us to move keys along
|
|
|
|
// the cuckoo path by storing each key to the new place first before
|
|
|
|
// removing it from the old place. This property ensures reads will
|
|
|
|
// not missed due to moving keys along the cuckoo path.
|
|
|
|
cuckoo_path[(*cuckoo_path_length)++] = next_step.bucket_id_;
|
|
|
|
int depth;
|
|
|
|
for (depth = step.depth_; depth > 0 && step_id != CuckooStep::kNullStep;
|
|
|
|
depth--) {
|
|
|
|
const CuckooStep& prev_step = step_buffer_.steps_[step_id];
|
|
|
|
cuckoo_path[(*cuckoo_path_length)++] = prev_step.bucket_id_;
|
|
|
|
step_id = prev_step.prev_step_id_;
|
|
|
|
}
|
|
|
|
assert(depth == 0 && step_id == CuckooStep::kNullStep);
|
|
|
|
return true;
|
|
|
|
}
|
|
|
|
if (step_buffer_.IsFull()) {
|
|
|
|
// if true, then it reaches maxinum number of cuckoo search steps.
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
// tried all possible paths but still not unable to find a cuckoo path
|
|
|
|
// which path leads to a vacant bucket.
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
|
|
|
|
HashCuckooRep::Iterator::Iterator(
|
|
|
|
std::shared_ptr<std::vector<const char*>> bucket,
|
|
|
|
const KeyComparator& compare)
|
|
|
|
: bucket_(bucket),
|
|
|
|
cit_(bucket_->end()),
|
|
|
|
compare_(compare),
|
|
|
|
sorted_(false) {}
|
|
|
|
|
|
|
|
void HashCuckooRep::Iterator::DoSort() const {
|
|
|
|
if (!sorted_) {
|
|
|
|
std::sort(bucket_->begin(), bucket_->end(),
|
|
|
|
stl_wrappers::Compare(compare_));
|
|
|
|
cit_ = bucket_->begin();
|
|
|
|
sorted_ = true;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
// Returns true iff the iterator is positioned at a valid node.
|
|
|
|
bool HashCuckooRep::Iterator::Valid() const {
|
|
|
|
DoSort();
|
|
|
|
return cit_ != bucket_->end();
|
|
|
|
}
|
|
|
|
|
|
|
|
// Returns the key at the current position.
|
|
|
|
// REQUIRES: Valid()
|
|
|
|
const char* HashCuckooRep::Iterator::key() const {
|
|
|
|
assert(Valid());
|
|
|
|
return *cit_;
|
|
|
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}
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// Advances to the next position.
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// REQUIRES: Valid()
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void HashCuckooRep::Iterator::Next() {
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assert(Valid());
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if (cit_ == bucket_->end()) {
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return;
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}
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++cit_;
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}
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// Advances to the previous position.
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// REQUIRES: Valid()
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|
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void HashCuckooRep::Iterator::Prev() {
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assert(Valid());
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|
|
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if (cit_ == bucket_->begin()) {
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|
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// If you try to go back from the first element, the iterator should be
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// invalidated. So we set it to past-the-end. This means that you can
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// treat the container circularly.
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cit_ = bucket_->end();
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|
} else {
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--cit_;
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}
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}
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|
// Advance to the first entry with a key >= target
|
|
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|
void HashCuckooRep::Iterator::Seek(const Slice& user_key,
|
|
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|
const char* memtable_key) {
|
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|
DoSort();
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|
// Do binary search to find first value not less than the target
|
|
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|
const char* encoded_key =
|
|
|
|
(memtable_key != nullptr) ? memtable_key : EncodeKey(&tmp_, user_key);
|
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|
cit_ = std::equal_range(bucket_->begin(), bucket_->end(), encoded_key,
|
|
|
|
[this](const char* a, const char* b) {
|
|
|
|
return compare_(a, b) < 0;
|
|
|
|
}).first;
|
|
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|
}
|
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|
// Position at the first entry in collection.
|
|
|
|
// Final state of iterator is Valid() iff collection is not empty.
|
|
|
|
void HashCuckooRep::Iterator::SeekToFirst() {
|
|
|
|
DoSort();
|
|
|
|
cit_ = bucket_->begin();
|
|
|
|
}
|
|
|
|
|
|
|
|
// Position at the last entry in collection.
|
|
|
|
// Final state of iterator is Valid() iff collection is not empty.
|
|
|
|
void HashCuckooRep::Iterator::SeekToLast() {
|
|
|
|
DoSort();
|
|
|
|
cit_ = bucket_->end();
|
|
|
|
if (bucket_->size() != 0) {
|
|
|
|
--cit_;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
} // anom namespace
|
|
|
|
|
|
|
|
MemTableRep* HashCuckooRepFactory::CreateMemTableRep(
|
|
|
|
const MemTableRep::KeyComparator& compare, Arena* arena,
|
2014-05-04 22:52:23 +00:00
|
|
|
const SliceTransform* transform, Logger* logger) {
|
Add a new mem-table representation based on cuckoo hash.
Summary:
= Major Changes =
* Add a new mem-table representation, HashCuckooRep, which is based cuckoo hash.
Cuckoo hash uses multiple hash functions. This allows each key to have multiple
possible locations in the mem-table.
- Put: When insert a key, it will try to find whether one of its possible
locations is vacant and store the key. If none of its possible
locations are available, then it will kick out a victim key and
store at that location. The kicked-out victim key will then be
stored at a vacant space of its possible locations or kick-out
another victim. In this diff, the kick-out path (known as
cuckoo-path) is found using BFS, which guarantees to be the shortest.
- Get: Simply tries all possible locations of a key --- this guarantees
worst-case constant time complexity.
- Time complexity: O(1) for Get, and average O(1) for Put if the
fullness of the mem-table is below 80%.
- Default using two hash functions, the number of hash functions used
by the cuckoo-hash may dynamically increase if it fails to find a
short-enough kick-out path.
- Currently, HashCuckooRep does not support iteration and snapshots,
as our current main purpose of this is to optimize point access.
= Minor Changes =
* Add IsSnapshotSupported() to DB to indicate whether the current DB
supports snapshots. If it returns false, then DB::GetSnapshot() will
always return nullptr.
Test Plan:
Run existing tests. Will develop a test specifically for cuckoo hash in
the next diff.
Reviewers: sdong, haobo
Reviewed By: sdong
CC: leveldb, dhruba, igor
Differential Revision: https://reviews.facebook.net/D16155
2014-04-30 00:13:46 +00:00
|
|
|
// The estimated average fullness. The write performance of any close hash
|
|
|
|
// degrades as the fullness of the mem-table increases. Setting kFullness
|
|
|
|
// to a value around 0.7 can better avoid write performance degradation while
|
|
|
|
// keeping efficient memory usage.
|
|
|
|
static const float kFullness = 0.7;
|
|
|
|
size_t pointer_size = sizeof(std::atomic<const char*>);
|
|
|
|
assert(write_buffer_size_ >= (average_data_size_ + pointer_size));
|
|
|
|
size_t bucket_count =
|
|
|
|
(write_buffer_size_ / (average_data_size_ + pointer_size)) / kFullness +
|
|
|
|
1;
|
|
|
|
unsigned int hash_function_count = hash_function_count_;
|
|
|
|
if (hash_function_count < 2) {
|
|
|
|
hash_function_count = 2;
|
|
|
|
}
|
|
|
|
if (hash_function_count > kMaxHashCount) {
|
|
|
|
hash_function_count = kMaxHashCount;
|
|
|
|
}
|
|
|
|
return new HashCuckooRep(compare, arena, bucket_count, hash_function_count);
|
|
|
|
}
|
|
|
|
|
|
|
|
MemTableRepFactory* NewHashCuckooRepFactory(size_t write_buffer_size,
|
|
|
|
size_t average_data_size,
|
|
|
|
unsigned int hash_function_count) {
|
|
|
|
return new HashCuckooRepFactory(write_buffer_size, average_data_size,
|
|
|
|
hash_function_count);
|
|
|
|
}
|
|
|
|
|
|
|
|
} // namespace rocksdb
|
|
|
|
#endif // ROCKSDB_LITE
|