rocksdb/cache/clock_cache.h

// 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 <array>
#include <atomic>
#include <cstddef>
#include <cstdint>
#include <memory>
#include <string>

#include "cache/cache_key.h"
#include "cache/sharded_cache.h"
#include "port/lang.h"
#include "port/malloc.h"
#include "port/port.h"
#include "rocksdb/cache.h"
#include "rocksdb/secondary_cache.h"
#include "util/autovector.h"

namespace ROCKSDB_NAMESPACE {

namespace clock_cache {

// Forward declaration of friend class.
class ClockCacheTest;

// HyperClockCache is an alternative to LRUCache specifically tailored for
// use as BlockBasedTableOptions::block_cache
//
// Benefits
// --------
// * Fully lock free (no waits or spins) for efficiency under high concurrency
// * Optimized for hot path reads. For concurrency control, most Lookup() and
// essentially all Release() are a single atomic add operation.
// * Eviction on insertion is fully parallel and lock-free.
// * Uses a generalized + aging variant of CLOCK eviction that might outperform
// LRU in some cases. (For background, see
// https://en.wikipedia.org/wiki/Page_replacement_algorithm)
//
// Costs
// -----
// * Hash table is not resizable (for lock-free efficiency) so capacity is not
// dynamically changeable. Rely on an estimated average value (block) size for
// space+time efficiency. (See estimated_entry_charge option details.)
// * Insert usually does not (but might) overwrite a previous entry associated
// with a cache key. This is OK for RocksDB uses of Cache.
// * Only supports keys of exactly 16 bytes, which is what RocksDB uses for
// block cache (not row cache or table cache).
// * SecondaryCache is not supported.
// * Cache priorities are less aggressively enforced. Unlike LRUCache, enough
// transient LOW or BOTTOM priority items can evict HIGH priority entries that
// are not referenced recently (or often) enough.
// * If pinned entries leave little or nothing eligible for eviction,
// performance can degrade substantially, because of clock eviction eating
// CPU looking for evictable entries and because Release does not
// pro-actively delete unreferenced entries when the cache is over-full.
// Specifically, this makes this implementation more susceptible to the
// following combination:
//   * num_shard_bits is high (e.g. 6)
//   * capacity small (e.g. some MBs)
//   * some large individual entries (e.g. non-partitioned filters)
// where individual entries occupy a large portion of their shard capacity.
// This should be mostly mitigated by the implementation picking a lower
// number of cache shards than LRUCache for a given capacity (when
// num_shard_bits is not overridden; see calls to GetDefaultCacheShardBits()).
// * With strict_capacity_limit=false, respecting the capacity limit is not as
// aggressive as LRUCache. The limit might be transiently exceeded by a very
// small number of entries even when not strictly necessary, and slower to
// recover after pinning forces limit to be substantially exceeded. (Even with
// strict_capacity_limit=true, RocksDB will nevertheless transiently allocate
// memory before discovering it is over the block cache capacity, so this
// should not be a detectable regression in respecting memory limits, except
// on exceptionally small caches.)
// * In some cases, erased or duplicated entries might not be freed
// immediately. They will eventually be freed by eviction from further Inserts.
// * Internal metadata can overflow if the number of simultaneous references
// to a cache handle reaches many millions.
//
// High-level eviction algorithm
// -----------------------------
// A score (or "countdown") is maintained for each entry, initially determined
// by priority. The score is incremented on each Lookup, up to a max of 3,
// though is easily returned to previous state if useful=false with Release.
// During CLOCK-style eviction iteration, entries with score > 0 are
// decremented if currently unreferenced and entries with score == 0 are
// evicted if currently unreferenced. Note that scoring might not be perfect
// because entries can be referenced transiently within the cache even when
// there are no outside references to the entry.
//
// Cache sharding like LRUCache is used to reduce contention on usage+eviction
// state, though here the performance improvement from more shards is small,
// and (as noted above) potentially detrimental if shard capacity is too close
// to largest entry size. Here cache sharding mostly only affects cache update
// (Insert / Erase) performance, not read performance.
//
// Read efficiency (hot path)
// --------------------------
// Mostly to minimize the cost of accessing metadata blocks with
// cache_index_and_filter_blocks=true, we focus on optimizing Lookup and
// Release. In terms of concurrency, at a minimum, these operations have
// to do reference counting (and Lookup has to compare full keys in a safe
// way). Can we fold in all the other metadata tracking *for free* with
// Lookup and Release doing a simple atomic fetch_add/fetch_sub? (Assume
// for the moment that Lookup succeeds on the first probe.)
//
// We have a clever way of encoding an entry's reference count and countdown
// clock so that Lookup and Release are each usually a single atomic addition.
// In a single metadata word we have both an "acquire" count, incremented by
// Lookup, and a "release" count, incremented by Release. If useful=false,
// Release can instead decrement the acquire count. Thus the current ref
// count is (acquires - releases), and the countdown clock is min(3, acquires).
// Note that only unreferenced entries (acquires == releases) are eligible
// for CLOCK manipulation and eviction. We tolerate use of more expensive
// compare_exchange operations for cache writes (insertions and erasures).
//
// In a cache receiving many reads and little or no writes, it is possible
// for the acquire and release counters to overflow. Assuming the *current*
// refcount never reaches to many millions, we only have to correct for
// overflow in both counters in Release, not in Lookup. The overflow check
// should be only 1-2 CPU cycles per Release because it is a predictable
// branch on a simple condition on data already in registers.
//
// Slot states
// -----------
// We encode a state indicator into the same metadata word with the
// acquire and release counters. This allows bigger state transitions to
// be atomic. States:
//
// * Empty - slot is not in use and unowned. All other metadata and data is
// in an undefined state.
// * Construction - slot is exclusively owned by one thread, the thread
// successfully entering this state, for populating or freeing data.
// * Shareable (group) - slot holds an entry with counted references for
// pinning and reading, including
//   * Visible - slot holds an entry that can be returned by Lookup
//   * Invisible - slot holds an entry that is not visible to Lookup
//     (erased by user) but can be read by existing references, and ref count
//     changed by Ref and Release.
//
// A special case is "standalone" entries, which are heap-allocated handles
// not in the table. They are always Invisible and freed on zero refs.
//
// State transitions:
// Empty -> Construction (in Insert): The encoding of state enables Insert to
// perform an optimistic atomic bitwise-or to take ownership if a slot is
// empty, or otherwise make no state change.
//
// Construction -> Visible (in Insert): This can be a simple assignment to the
// metadata word because the current thread has exclusive ownership and other
// metadata is meaningless.
//
// Visible -> Invisible (in Erase): This can be a bitwise-and while holding
// a shared reference, which is safe because the change is idempotent (in case
// of parallel Erase). By the way, we never go Invisible->Visible.
//
// Shareable -> Construction (in Evict part of Insert, in Erase, and in
// Release if Invisible): This is for starting to freeing/deleting an
// unreferenced entry. We have to use compare_exchange to ensure we only make
// this transition when there are zero refs.
//
// Construction -> Empty (in same places): This is for completing free/delete
// of an entry. A "release" atomic store suffices, as we have exclusive
// ownership of the slot but have to ensure none of the data member reads are
// re-ordered after committing the state transition.
//
// Insert
// ------
// If Insert were to guarantee replacing an existing entry for a key, there
// would be complications for concurrency and efficiency. First, consider how
// many probes to get to an entry. To ensure Lookup never waits and
// availability of a key is uninterrupted, we would need to use a different
// slot for a new entry for the same key. This means it is most likely in a
// later probing position than the old version, which should soon be removed.
// (Also, an entry is too big to replace atomically, even if no current refs.)
//
// However, overwrite capability is not really needed by RocksDB. Also, we
// know from our "redundant" stats that overwrites are very rare for the block
// cache, so we should not spend much to make them effective.
//
// So instead we Insert as soon as we find an empty slot in the probing
// sequence without seeing an existing (visible) entry for the same key. This
// way we only insert if we can improve the probing performance, and we don't
// need to probe beyond our insert position, assuming we are willing to let
// the previous entry for the same key die of old age (eventual eviction from
// not being used). We can reach a similar state with concurrent insertions,
// where one will pass over the other while it is "under construction."
// This temporary duplication is acceptable for RocksDB block cache because
// we know redundant insertion is rare.
//
// Another problem to solve is what to return to the caller when we find an
// existing entry whose probing position we cannot improve on, or when the
// table occupancy limit has been reached. If strict_capacity_limit=false,
// we must never fail Insert, and if a Handle* is provided, we have to return
// a usable Cache handle on success. The solution to this (typically rare)
// problem is "standalone" handles, which are usable by the caller but not
// actually available for Lookup in the Cache. Standalone handles are allocated
// independently on the heap and specially marked so that they are freed on
// the heap when their last reference is released.
//
// Usage on capacity
// -----------------
// Insert takes different approaches to usage tracking depending on
// strict_capacity_limit setting. If true, we enforce a kind of strong
// consistency where compare-exchange is used to ensure the usage number never
// exceeds its limit, and provide threads with an authoritative signal on how
// much "usage" they have taken ownership of. With strict_capacity_limit=false,
// we use a kind of "eventual consistency" where all threads Inserting to the
// same cache shard might race on reserving the same space, but the
// over-commitment will be worked out in later insertions. It is kind of a
// dance because we don't want threads racing each other too much on paying
// down the over-commitment (with eviction) either.
//
// Eviction
// --------
// A key part of Insert is evicting some entries currently unreferenced to
// make room for new entries. The high-level eviction algorithm is described
// above, but the details are also interesting. A key part is parallelizing
// eviction with a single CLOCK pointer. This works by each thread working on
// eviction pre-emptively incrementing the CLOCK pointer, and then CLOCK-
// updating or evicting the incremented-over slot(s). To reduce contention at
// the cost of possibly evicting too much, each thread increments the clock
// pointer by 4, so commits to updating at least 4 slots per batch. As
// described above, a CLOCK update will decrement the "countdown" of
// unreferenced entries, or evict unreferenced entries with zero countdown.
// Referenced entries are not updated, because we (presumably) don't want
// long-referenced entries to age while referenced. Note however that we
// cannot distinguish transiently referenced entries from cache user
// references, so some CLOCK updates might be somewhat arbitrarily skipped.
// This is OK as long as it is rare enough that eviction order is still
// pretty good.
//
// There is no synchronization on the completion of the CLOCK updates, so it
// is theoretically possible for another thread to cycle back around and have
// two threads racing on CLOCK updates to the same slot. Thus, we cannot rely
// on any implied exclusivity to make the updates or eviction more efficient.
// These updates use an opportunistic compare-exchange (no loop), where a
// racing thread might cause the update to be skipped without retry, but in
// such case the update is likely not needed because the most likely update
// to an entry is that it has become referenced. (TODO: test efficiency of
// avoiding compare-exchange loop)
//
// Release
// -------
// In the common case, Release is a simple atomic increment of the release
// counter. There is a simple overflow check that only does another atomic
// update in extremely rare cases, so costs almost nothing.
//
// If the Release specifies "not useful", we can instead decrement the
// acquire counter, which returns to the same CLOCK state as before Lookup
// or Ref.
//
// Adding a check for over-full cache on every release to zero-refs would
// likely be somewhat expensive, increasing read contention on cache shard
// metadata. Instead we are less aggressive about deleting entries right
// away in those cases.
//
// However Release tries to immediately delete entries reaching zero refs
// if (a) erase_if_last_ref is set by the caller, or (b) the entry is already
// marked invisible. Both of these are checks on values already in CPU
// registers so do not increase cross-CPU contention when not applicable.
// When applicable, they use a compare-exchange loop to take exclusive
// ownership of the slot for freeing the entry. These are rare cases
// that should not usually affect performance.
//
// Erase
// -----
// Searches for an entry like Lookup but moves it to Invisible state if found.
// This state transition is with bit operations so is idempotent and safely
// done while only holding a shared "read" reference. Like Release, it makes
// a best effort to immediately release an Invisible entry that reaches zero
// refs, but there are some corner cases where it will only be freed by the
// clock eviction process.

// ----------------------------------------------------------------------- //

// The load factor p is a real number in (0, 1) such that at all
// times at most a fraction p of all slots, without counting tombstones,
// are occupied by elements. This means that the probability that a random
// probe hits an occupied slot is at most p, and thus at most 1/p probes
// are required on average. For example, p = 70% implies that between 1 and 2
// probes are needed on average (bear in mind that this reasoning doesn't
// consider the effects of clustering over time, which should be negligible
// with double hashing).
// Because the size of the hash table is always rounded up to the next
// power of 2, p is really an upper bound on the actual load factor---the
// actual load factor is anywhere between p/2 and p. This is a bit wasteful,
// but bear in mind that slots only hold metadata, not actual values.
// Since space cost is dominated by the values (the LSM blocks),
// overprovisioning the table with metadata only increases the total cache space
// usage by a tiny fraction.
constexpr double kLoadFactor = 0.7;

// The user can exceed kLoadFactor if the sizes of the inserted values don't
// match estimated_value_size, or in some rare cases with
// strict_capacity_limit == false. To avoid degenerate performance, we set a
// strict upper bound on the load factor.
constexpr double kStrictLoadFactor = 0.84;

struct ClockHandleBasicData {
  Cache::ObjectPtr value = nullptr;
  const Cache::CacheItemHelper* helper = nullptr;
  // A lossless, reversible hash of the fixed-size (16 byte) cache key. This
  // eliminates the need to store a hash separately.
  UniqueId64x2 hashed_key = kNullUniqueId64x2;
  size_t total_charge = 0;

  inline size_t GetTotalCharge() const { return total_charge; }

  // Calls deleter (if non-null) on cache key and value
  void FreeData(MemoryAllocator* allocator) const;

  // Required by concept HandleImpl
  const UniqueId64x2& GetHash() const { return hashed_key; }
};

struct ClockHandle : public ClockHandleBasicData {
  // Constants for handling the atomic `meta` word, which tracks most of the
  // state of the handle. The meta word looks like this:
  // low bits                                                     high bits
  // -----------------------------------------------------------------------
  // | acquire counter          | release counter           | state marker |
  // -----------------------------------------------------------------------

  // For reading or updating counters in meta word.
  static constexpr uint8_t kCounterNumBits = 30;
  static constexpr uint64_t kCounterMask = (uint64_t{1} << kCounterNumBits) - 1;

  static constexpr uint8_t kAcquireCounterShift = 0;
  static constexpr uint64_t kAcquireIncrement = uint64_t{1}
                                                << kAcquireCounterShift;
  static constexpr uint8_t kReleaseCounterShift = kCounterNumBits;
  static constexpr uint64_t kReleaseIncrement = uint64_t{1}
                                                << kReleaseCounterShift;

  // For reading or updating the state marker in meta word
  static constexpr uint8_t kStateShift = 2U * kCounterNumBits;

  // Bits contribution to state marker.
  // Occupied means any state other than empty
  static constexpr uint8_t kStateOccupiedBit = 0b100;
  // Shareable means the entry is reference counted (visible or invisible)
  // (only set if also occupied)
  static constexpr uint8_t kStateShareableBit = 0b010;
  // Visible is only set if also shareable
  static constexpr uint8_t kStateVisibleBit = 0b001;

  // Complete state markers (not shifted into full word)
  static constexpr uint8_t kStateEmpty = 0b000;
  static constexpr uint8_t kStateConstruction = kStateOccupiedBit;
  static constexpr uint8_t kStateInvisible =
      kStateOccupiedBit | kStateShareableBit;
  static constexpr uint8_t kStateVisible =
      kStateOccupiedBit | kStateShareableBit | kStateVisibleBit;

  // Constants for initializing the countdown clock. (Countdown clock is only
  // in effect with zero refs, acquire counter == release counter, and in that
  // case the countdown clock == both of those counters.)
  static constexpr uint8_t kHighCountdown = 3;
  static constexpr uint8_t kLowCountdown = 2;
  static constexpr uint8_t kBottomCountdown = 1;
  // During clock update, treat any countdown clock value greater than this
  // value the same as this value.
  static constexpr uint8_t kMaxCountdown = kHighCountdown;
  // TODO: make these coundown values tuning parameters for eviction?

  // See above
  std::atomic<uint64_t> meta{};

  // Anticipating use for SecondaryCache support
  void* reserved_for_future_use = nullptr;
};  // struct ClockHandle

class HyperClockTable {
 public:
  // Target size to be exactly a common cache line size (see static_assert in
  // clock_cache.cc)
  struct ALIGN_AS(64U) HandleImpl : public ClockHandle {
    // The number of elements that hash to this slot or a lower one, but wind
    // up in this slot or a higher one.
    std::atomic<uint32_t> displacements{};

    // Whether this is a "deteched" handle that is independently allocated
    // with `new` (so must be deleted with `delete`).
    // TODO: ideally this would be packed into some other data field, such
    // as upper bits of total_charge, but that incurs a measurable performance
    // regression.
    bool standalone = false;

    inline bool IsStandalone() const { return standalone; }

    inline void SetStandalone() { standalone = true; }
  };  // struct HandleImpl

  struct Opts {
    size_t estimated_value_size;
  };

  HyperClockTable(size_t capacity, bool strict_capacity_limit,
                  CacheMetadataChargePolicy metadata_charge_policy,
                  MemoryAllocator* allocator,
                  const Cache::EvictionCallback* eviction_callback,
                  const Opts& opts);
  ~HyperClockTable();

  Status Insert(const ClockHandleBasicData& proto, HandleImpl** handle,
                Cache::Priority priority, size_t capacity,
                bool strict_capacity_limit);

  HandleImpl* CreateStandalone(ClockHandleBasicData& proto, size_t capacity,
                               bool strict_capacity_limit,
                               bool allow_uncharged);

  HandleImpl* Lookup(const UniqueId64x2& hashed_key);

  bool Release(HandleImpl* handle, bool useful, bool erase_if_last_ref);

  void Ref(HandleImpl& handle);

  void Erase(const UniqueId64x2& hashed_key);

  void ConstApplyToEntriesRange(std::function<void(const HandleImpl&)> func,
                                size_t index_begin, size_t index_end,
                                bool apply_if_will_be_deleted) const;

  void EraseUnRefEntries();

  size_t GetTableSize() const { return size_t{1} << length_bits_; }

  int GetLengthBits() const { return length_bits_; }

  size_t GetOccupancy() const {
    return occupancy_.load(std::memory_order_relaxed);
  }

  size_t GetOccupancyLimit() const { return occupancy_limit_; }

  size_t GetUsage() const { return usage_.load(std::memory_order_relaxed); }

  size_t GetStandaloneUsage() const {
    return standalone_usage_.load(std::memory_order_relaxed);
  }

  // Acquire/release N references
  void TEST_RefN(HandleImpl& handle, size_t n);
  void TEST_ReleaseN(HandleImpl* handle, size_t n);

 private:  // functions
  // Returns x mod 2^{length_bits_}.
  inline size_t ModTableSize(uint64_t x) {
    return static_cast<size_t>(x) & length_bits_mask_;
  }

  // Runs the clock eviction algorithm trying to reclaim at least
  // requested_charge. Returns how much is evicted, which could be less
  // if it appears impossible to evict the requested amount without blocking.
  inline void Evict(size_t requested_charge, size_t* freed_charge,
                    size_t* freed_count);

  // Returns the first slot in the probe sequence, starting from the given
  // probe number, with a handle e such that match(e) is true. At every
  // step, the function first tests whether match(e) holds. If this is false,
  // it evaluates abort(e) to decide whether the search should be aborted,
  // and in the affirmative returns -1. For every handle e probed except
  // the last one, the function runs update(e).
  // The probe parameter is modified as follows. We say a probe to a handle
  // e is aborting if match(e) is false and abort(e) is true. Then the final
  // value of probe is one more than the last non-aborting probe during the
  // call. This is so that that the variable can be used to keep track of
  // progress across consecutive calls to FindSlot.
  inline HandleImpl* FindSlot(const UniqueId64x2& hashed_key,
                              std::function<bool(HandleImpl*)> match,
                              std::function<bool(HandleImpl*)> stop,
                              std::function<void(HandleImpl*)> update,
                              size_t& probe);

  // Re-decrement all displacements in probe path starting from beginning
  // until (not including) the given handle
  inline void Rollback(const UniqueId64x2& hashed_key, const HandleImpl* h);

  // Subtracts `total_charge` from `usage_` and 1 from `occupancy_`.
  // Ideally this comes after releasing the entry itself so that we
  // actually have the available occupancy/usage that is claimed.
  // However, that means total_charge has to be saved from the handle
  // before releasing it so that it can be provided to this function.
  inline void ReclaimEntryUsage(size_t total_charge);

  // Helper for updating `usage_` for new entry with given `total_charge`
  // and evicting if needed under strict_capacity_limit=true rules. This
  // means the operation might fail with Status::MemoryLimit. If
  // `need_evict_for_occupancy`, then eviction of at least one entry is
  // required, and the operation should fail if not possible.
  // NOTE: Otherwise, occupancy_ is not managed in this function
  inline Status ChargeUsageMaybeEvictStrict(size_t total_charge,
                                            size_t capacity,
                                            bool need_evict_for_occupancy);

  // Helper for updating `usage_` for new entry with given `total_charge`
  // and evicting if needed under strict_capacity_limit=false rules. This
  // means that updating `usage_` always succeeds even if forced to exceed
  // capacity. If `need_evict_for_occupancy`, then eviction of at least one
  // entry is required, and the operation should return false if such eviction
  // is not possible. `usage_` is not updated in that case. Otherwise, returns
  // true, indicating success.
  // NOTE: occupancy_ is not managed in this function
  inline bool ChargeUsageMaybeEvictNonStrict(size_t total_charge,
                                             size_t capacity,
                                             bool need_evict_for_occupancy);

  // Creates a "standalone" handle for returning from an Insert operation that
  // cannot be completed by actually inserting into the table.
  // Updates `standalone_usage_` but not `usage_` nor `occupancy_`.
  inline HandleImpl* StandaloneInsert(const ClockHandleBasicData& proto);

  MemoryAllocator* GetAllocator() const { return allocator_; }

  // Returns the number of bits used to hash an element in the hash
  // table.
  static int CalcHashBits(size_t capacity, size_t estimated_value_size,
                          CacheMetadataChargePolicy metadata_charge_policy);

 private:  // data
  // Number of hash bits used for table index.
  // The size of the table is 1 << length_bits_.
  const int length_bits_;

  // For faster computation of ModTableSize.
  const size_t length_bits_mask_;

  // Maximum number of elements the user can store in the table.
  const size_t occupancy_limit_;

  // Array of slots comprising the hash table.
  const std::unique_ptr<HandleImpl[]> array_;

  // From Cache, for deleter
  MemoryAllocator* const allocator_;

  // A reference to Cache::eviction_callback_
  const Cache::EvictionCallback& eviction_callback_;

  // We partition the following members into different cache lines
  // to avoid false sharing among Lookup, Release, Erase and Insert
  // operations in ClockCacheShard.

  ALIGN_AS(CACHE_LINE_SIZE)
  // Clock algorithm sweep pointer.
  std::atomic<uint64_t> clock_pointer_{};

  ALIGN_AS(CACHE_LINE_SIZE)
  // Number of elements in the table.
  std::atomic<size_t> occupancy_{};

  // Memory usage by entries tracked by the cache (including standalone)
  std::atomic<size_t> usage_{};

  // Part of usage by standalone entries (not in table)
  std::atomic<size_t> standalone_usage_{};
};  // class HyperClockTable

// A single shard of sharded cache.
template <class Table>
class ALIGN_AS(CACHE_LINE_SIZE) ClockCacheShard final : public CacheShardBase {
 public:
  ClockCacheShard(size_t capacity, bool strict_capacity_limit,
                  CacheMetadataChargePolicy metadata_charge_policy,
                  MemoryAllocator* allocator,
                  const Cache::EvictionCallback* eviction_callback,
                  const typename Table::Opts& opts);

  // For CacheShard concept
  using HandleImpl = typename Table::HandleImpl;
  // Hash is lossless hash of 128-bit key
  using HashVal = UniqueId64x2;
  using HashCref = const HashVal&;
  static inline uint32_t HashPieceForSharding(HashCref hash) {
    return Upper32of64(hash[0]);
  }
  static inline HashVal ComputeHash(const Slice& key) {
    assert(key.size() == kCacheKeySize);
    HashVal in;
    HashVal out;
    // NOTE: endian dependence
    // TODO: use GetUnaligned?
    std::memcpy(&in, key.data(), kCacheKeySize);
    BijectiveHash2x64(in[1], in[0], &out[1], &out[0]);
    return out;
  }

  // For reconstructing key from hashed_key. Requires the caller to provide
  // backing storage for the Slice in `unhashed`
  static inline Slice ReverseHash(const UniqueId64x2& hashed,
                                  UniqueId64x2* unhashed) {
    BijectiveUnhash2x64(hashed[1], hashed[0], &(*unhashed)[1], &(*unhashed)[0]);
    // NOTE: endian dependence
    return Slice(reinterpret_cast<const char*>(unhashed), kCacheKeySize);
  }

  // Although capacity is dynamically changeable, the number of table slots is
  // not, so growing capacity substantially could lead to hitting occupancy
  // limit.
  void SetCapacity(size_t capacity);

  void SetStrictCapacityLimit(bool strict_capacity_limit);

  Status Insert(const Slice& key, const UniqueId64x2& hashed_key,
                Cache::ObjectPtr value, const Cache::CacheItemHelper* helper,
                size_t charge, HandleImpl** handle, Cache::Priority priority);

  HandleImpl* CreateStandalone(const Slice& key, const UniqueId64x2& hashed_key,
                               Cache::ObjectPtr obj,
                               const Cache::CacheItemHelper* helper,
                               size_t charge, bool allow_uncharged);

  HandleImpl* Lookup(const Slice& key, const UniqueId64x2& hashed_key);

  bool Release(HandleImpl* handle, bool useful, bool erase_if_last_ref);

  bool Release(HandleImpl* handle, bool erase_if_last_ref = false);

  bool Ref(HandleImpl* handle);

  void Erase(const Slice& key, const UniqueId64x2& hashed_key);

  size_t GetCapacity() const;

  size_t GetUsage() const;

  size_t GetStandaloneUsage() const;

  size_t GetPinnedUsage() const;

  size_t GetOccupancyCount() const;

  size_t GetOccupancyLimit() const;

  size_t GetTableAddressCount() const;

  void ApplyToSomeEntries(
      const std::function<void(const Slice& key, Cache::ObjectPtr obj,
                               size_t charge,
                               const Cache::CacheItemHelper* helper)>& callback,
      size_t average_entries_per_lock, size_t* state);

  void EraseUnRefEntries();

  std::string GetPrintableOptions() const { return std::string{}; }

  HandleImpl* Lookup(const Slice& key, const UniqueId64x2& hashed_key,
                     const Cache::CacheItemHelper* /*helper*/,
                     Cache::CreateContext* /*create_context*/,
                     Cache::Priority /*priority*/, Statistics* /*stats*/) {
    return Lookup(key, hashed_key);
  }

  // Acquire/release N references
  void TEST_RefN(HandleImpl* handle, size_t n);
  void TEST_ReleaseN(HandleImpl* handle, size_t n);

 private:  // data
  Table table_;

  // Maximum total charge of all elements stored in the table.
  std::atomic<size_t> capacity_;

  // Whether to reject insertion if cache reaches its full capacity.
  std::atomic<bool> strict_capacity_limit_;
};  // class ClockCacheShard

class HyperClockCache
#ifdef NDEBUG
    final
#endif
    : public ShardedCache<ClockCacheShard<HyperClockTable>> {
 public:
  using Shard = ClockCacheShard<HyperClockTable>;

  explicit HyperClockCache(const HyperClockCacheOptions& opts);

  const char* Name() const override { return "HyperClockCache"; }

  Cache::ObjectPtr Value(Handle* handle) override;

  size_t GetCharge(Handle* handle) const override;

  const CacheItemHelper* GetCacheItemHelper(Handle* handle) const override;

  void ReportProblems(
      const std::shared_ptr<Logger>& /*info_log*/) const override;
};  // class HyperClockCache

}  // namespace clock_cache

}  // namespace ROCKSDB_NAMESPACE