/usr/include/rocksdb/memtablerep.h is in librocksdb-dev 5.8.8-1.
This file is owned by root:root, with mode 0o644.
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// 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).
//
// This file contains the interface that must be implemented by any collection
// to be used as the backing store for a MemTable. Such a collection must
// satisfy the following properties:
// (1) It does not store duplicate items.
// (2) It uses MemTableRep::KeyComparator to compare items for iteration and
// equality.
// (3) It can be accessed concurrently by multiple readers and can support
// during reads. However, it needn't support multiple concurrent writes.
// (4) Items are never deleted.
// The liberal use of assertions is encouraged to enforce (1).
//
// The factory will be passed an MemTableAllocator object when a new MemTableRep
// is requested.
//
// Users can implement their own memtable representations. We include three
// types built in:
// - SkipListRep: This is the default; it is backed by a skip list.
// - HashSkipListRep: The memtable rep that is best used for keys that are
// structured like "prefix:suffix" where iteration within a prefix is
// common and iteration across different prefixes is rare. It is backed by
// a hash map where each bucket is a skip list.
// - VectorRep: This is backed by an unordered std::vector. On iteration, the
// vector is sorted. It is intelligent about sorting; once the MarkReadOnly()
// has been called, the vector will only be sorted once. It is optimized for
// random-write-heavy workloads.
//
// The last four implementations are designed for situations in which
// iteration over the entire collection is rare since doing so requires all the
// keys to be copied into a sorted data structure.
#pragma once
#include <memory>
#include <stdexcept>
#include <stdint.h>
#include <stdlib.h>
namespace rocksdb {
class Arena;
class Allocator;
class LookupKey;
class Slice;
class SliceTransform;
class Logger;
typedef void* KeyHandle;
class MemTableRep {
public:
// KeyComparator provides a means to compare keys, which are internal keys
// concatenated with values.
class KeyComparator {
public:
// Compare a and b. Return a negative value if a is less than b, 0 if they
// are equal, and a positive value if a is greater than b
virtual int operator()(const char* prefix_len_key1,
const char* prefix_len_key2) const = 0;
virtual int operator()(const char* prefix_len_key,
const Slice& key) const = 0;
virtual ~KeyComparator() { }
};
explicit MemTableRep(Allocator* allocator) : allocator_(allocator) {}
// Allocate a buf of len size for storing key. The idea is that a
// specific memtable representation knows its underlying data structure
// better. By allowing it to allocate memory, it can possibly put
// correlated stuff in consecutive memory area to make processor
// prefetching more efficient.
virtual KeyHandle Allocate(const size_t len, char** buf);
// Insert key into the collection. (The caller will pack key and value into a
// single buffer and pass that in as the parameter to Insert).
// REQUIRES: nothing that compares equal to key is currently in the
// collection, and no concurrent modifications to the table in progress
virtual void Insert(KeyHandle handle) = 0;
// Same as Insert(), but in additional pass a hint to insert location for
// the key. If hint points to nullptr, a new hint will be populated.
// otherwise the hint will be updated to reflect the last insert location.
//
// Currently only skip-list based memtable implement the interface. Other
// implementations will fallback to Insert() by default.
virtual void InsertWithHint(KeyHandle handle, void** hint) {
// Ignore the hint by default.
Insert(handle);
}
// Like Insert(handle), but may be called concurrent with other calls
// to InsertConcurrently for other handles
virtual void InsertConcurrently(KeyHandle handle) {
#ifndef ROCKSDB_LITE
throw std::runtime_error("concurrent insert not supported");
#else
abort();
#endif
}
// Returns true iff an entry that compares equal to key is in the collection.
virtual bool Contains(const char* key) const = 0;
// Notify this table rep that it will no longer be added to. By default,
// does nothing. After MarkReadOnly() is called, this table rep will
// not be written to (ie No more calls to Allocate(), Insert(),
// or any writes done directly to entries accessed through the iterator.)
virtual void MarkReadOnly() { }
// Look up key from the mem table, since the first key in the mem table whose
// user_key matches the one given k, call the function callback_func(), with
// callback_args directly forwarded as the first parameter, and the mem table
// key as the second parameter. If the return value is false, then terminates.
// Otherwise, go through the next key.
//
// It's safe for Get() to terminate after having finished all the potential
// key for the k.user_key(), or not.
//
// Default:
// Get() function with a default value of dynamically construct an iterator,
// seek and call the call back function.
virtual void Get(const LookupKey& k, void* callback_args,
bool (*callback_func)(void* arg, const char* entry));
virtual uint64_t ApproximateNumEntries(const Slice& start_ikey,
const Slice& end_key) {
return 0;
}
// Report an approximation of how much memory has been used other than memory
// that was allocated through the allocator. Safe to call from any thread.
virtual size_t ApproximateMemoryUsage() = 0;
virtual ~MemTableRep() { }
// Iteration over the contents of a skip collection
class Iterator {
public:
// Initialize an iterator over the specified collection.
// The returned iterator is not valid.
// explicit Iterator(const MemTableRep* collection);
virtual ~Iterator() {}
// Returns true iff the iterator is positioned at a valid node.
virtual bool Valid() const = 0;
// Returns the key at the current position.
// REQUIRES: Valid()
virtual const char* key() const = 0;
// Advances to the next position.
// REQUIRES: Valid()
virtual void Next() = 0;
// Advances to the previous position.
// REQUIRES: Valid()
virtual void Prev() = 0;
// Advance to the first entry with a key >= target
virtual void Seek(const Slice& internal_key, const char* memtable_key) = 0;
// retreat to the first entry with a key <= target
virtual void SeekForPrev(const Slice& internal_key,
const char* memtable_key) = 0;
// Position at the first entry in collection.
// Final state of iterator is Valid() iff collection is not empty.
virtual void SeekToFirst() = 0;
// Position at the last entry in collection.
// Final state of iterator is Valid() iff collection is not empty.
virtual void SeekToLast() = 0;
};
// Return an iterator over the keys in this representation.
// arena: If not null, the arena needs to be used to allocate the Iterator.
// When destroying the iterator, the caller will not call "delete"
// but Iterator::~Iterator() directly. The destructor needs to destroy
// all the states but those allocated in arena.
virtual Iterator* GetIterator(Arena* arena = nullptr) = 0;
// Return an iterator that has a special Seek semantics. The result of
// a Seek might only include keys with the same prefix as the target key.
// arena: If not null, the arena is used to allocate the Iterator.
// When destroying the iterator, the caller will not call "delete"
// but Iterator::~Iterator() directly. The destructor needs to destroy
// all the states but those allocated in arena.
virtual Iterator* GetDynamicPrefixIterator(Arena* arena = nullptr) {
return GetIterator(arena);
}
// Return true if the current MemTableRep supports merge operator.
// Default: true
virtual bool IsMergeOperatorSupported() const { return true; }
// Return true if the current MemTableRep supports snapshot
// Default: true
virtual bool IsSnapshotSupported() const { return true; }
protected:
// When *key is an internal key concatenated with the value, returns the
// user key.
virtual Slice UserKey(const char* key) const;
Allocator* allocator_;
};
// This is the base class for all factories that are used by RocksDB to create
// new MemTableRep objects
class MemTableRepFactory {
public:
virtual ~MemTableRepFactory() {}
virtual MemTableRep* CreateMemTableRep(const MemTableRep::KeyComparator&,
Allocator*, const SliceTransform*,
Logger* logger) = 0;
virtual MemTableRep* CreateMemTableRep(
const MemTableRep::KeyComparator& key_cmp, Allocator* allocator,
const SliceTransform* slice_transform, Logger* logger,
uint32_t /* column_family_id */) {
return CreateMemTableRep(key_cmp, allocator, slice_transform, logger);
}
virtual const char* Name() const = 0;
// Return true if the current MemTableRep supports concurrent inserts
// Default: false
virtual bool IsInsertConcurrentlySupported() const { return false; }
};
// This uses a skip list to store keys. It is the default.
//
// Parameters:
// lookahead: If non-zero, each iterator's seek operation will start the
// search from the previously visited record (doing at most 'lookahead'
// steps). This is an optimization for the access pattern including many
// seeks with consecutive keys.
class SkipListFactory : public MemTableRepFactory {
public:
explicit SkipListFactory(size_t lookahead = 0) : lookahead_(lookahead) {}
using MemTableRepFactory::CreateMemTableRep;
virtual MemTableRep* CreateMemTableRep(const MemTableRep::KeyComparator&,
Allocator*, const SliceTransform*,
Logger* logger) override;
virtual const char* Name() const override { return "SkipListFactory"; }
bool IsInsertConcurrentlySupported() const override { return true; }
private:
const size_t lookahead_;
};
#ifndef ROCKSDB_LITE
// This creates MemTableReps that are backed by an std::vector. On iteration,
// the vector is sorted. This is useful for workloads where iteration is very
// rare and writes are generally not issued after reads begin.
//
// Parameters:
// count: Passed to the constructor of the underlying std::vector of each
// VectorRep. On initialization, the underlying array will be at least count
// bytes reserved for usage.
class VectorRepFactory : public MemTableRepFactory {
const size_t count_;
public:
explicit VectorRepFactory(size_t count = 0) : count_(count) { }
using MemTableRepFactory::CreateMemTableRep;
virtual MemTableRep* CreateMemTableRep(const MemTableRep::KeyComparator&,
Allocator*, const SliceTransform*,
Logger* logger) override;
virtual const char* Name() const override {
return "VectorRepFactory";
}
};
// This class contains a fixed array of buckets, each
// pointing to a skiplist (null if the bucket is empty).
// bucket_count: number of fixed array buckets
// skiplist_height: the max height of the skiplist
// skiplist_branching_factor: probabilistic size ratio between adjacent
// link lists in the skiplist
extern MemTableRepFactory* NewHashSkipListRepFactory(
size_t bucket_count = 1000000, int32_t skiplist_height = 4,
int32_t skiplist_branching_factor = 4
);
// The factory is to create memtables based on a hash table:
// it contains a fixed array of buckets, each pointing to either a linked list
// or a skip list if number of entries inside the bucket exceeds
// threshold_use_skiplist.
// @bucket_count: number of fixed array buckets
// @huge_page_tlb_size: if <=0, allocate the hash table bytes from malloc.
// Otherwise from huge page TLB. The user needs to reserve
// huge pages for it to be allocated, like:
// sysctl -w vm.nr_hugepages=20
// See linux doc Documentation/vm/hugetlbpage.txt
// @bucket_entries_logging_threshold: if number of entries in one bucket
// exceeds this number, log about it.
// @if_log_bucket_dist_when_flash: if true, log distribution of number of
// entries when flushing.
// @threshold_use_skiplist: a bucket switches to skip list if number of
// entries exceed this parameter.
extern MemTableRepFactory* NewHashLinkListRepFactory(
size_t bucket_count = 50000, size_t huge_page_tlb_size = 0,
int bucket_entries_logging_threshold = 4096,
bool if_log_bucket_dist_when_flash = true,
uint32_t threshold_use_skiplist = 256);
// This factory creates a cuckoo-hashing based mem-table representation.
// Cuckoo-hash is a closed-hash strategy, in which all key/value pairs
// are stored in the bucket array itself intead of in some data structures
// external to the bucket array. In addition, each key in cuckoo hash
// has a constant number of possible buckets in the bucket array. These
// two properties together makes cuckoo hash more memory efficient and
// a constant worst-case read time. Cuckoo hash is best suitable for
// point-lookup workload.
//
// When inserting a key / value, it first checks whether one of its possible
// buckets is empty. If so, the key / value will be inserted to that vacant
// bucket. Otherwise, one of the keys originally stored in one of these
// possible buckets will be "kicked out" and move to one of its possible
// buckets (and possibly kicks out another victim.) In the current
// implementation, such "kick-out" path is bounded. If it cannot find a
// "kick-out" path for a specific key, this key will be stored in a backup
// structure, and the current memtable to be forced to immutable.
//
// Note that currently this mem-table representation does not support
// snapshot (i.e., it only queries latest state) and iterators. In addition,
// MultiGet operation might also lose its atomicity due to the lack of
// snapshot support.
//
// Parameters:
// write_buffer_size: the write buffer size in bytes.
// average_data_size: the average size of key + value in bytes. This value
// together with write_buffer_size will be used to compute the number
// of buckets.
// hash_function_count: the number of hash functions that will be used by
// the cuckoo-hash. The number also equals to the number of possible
// buckets each key will have.
extern MemTableRepFactory* NewHashCuckooRepFactory(
size_t write_buffer_size, size_t average_data_size = 64,
unsigned int hash_function_count = 4);
#endif // ROCKSDB_LITE
} // namespace rocksdb
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