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c41122b1a0
Summary: ... ahead of dynamic variant. * Introduce an Unref function for a common pattern. Cases that were previously using std::memory_order_acq_rel we doing so because we were saving the pre-updated value in case it might be used. Now we are explicitly throwing away the pre-updated value so do not need the acquire semantic, just release. * Introduce a reusable EvictionData struct and TrackAndReleaseEvictedEntry() function. * Based on a linter suggesting, use const Func& parameter type instead of Func for templated callable parameters. Pull Request resolved: https://github.com/facebook/rocksdb/pull/11630 Test Plan: existing tests, and performance test with release build of cache_bench. Getting 1-2% difference between before & after from run to run, but inconsistent about which one is faster. Reviewed By: jowlyzhang Differential Revision: D47657334 Pulled By: pdillinger fbshipit-source-id: 5cf2377c0d47a39143b04be6735f98c550e8bdc3
1558 lines
58 KiB
C++
1558 lines
58 KiB
C++
// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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// This source code is licensed under both the GPLv2 (found in the
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// COPYING file in the root directory) and Apache 2.0 License
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// (found in the LICENSE.Apache file in the root directory).
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//
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// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file. See the AUTHORS file for names of contributors.
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#include "cache/clock_cache.h"
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#include <cassert>
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#include <functional>
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#include <numeric>
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#include "cache/cache_key.h"
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#include "cache/secondary_cache_adapter.h"
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#include "logging/logging.h"
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#include "monitoring/perf_context_imp.h"
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#include "monitoring/statistics_impl.h"
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#include "port/lang.h"
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#include "rocksdb/env.h"
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#include "util/hash.h"
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#include "util/math.h"
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#include "util/random.h"
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namespace ROCKSDB_NAMESPACE {
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namespace clock_cache {
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namespace {
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inline uint64_t GetRefcount(uint64_t meta) {
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return ((meta >> ClockHandle::kAcquireCounterShift) -
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(meta >> ClockHandle::kReleaseCounterShift)) &
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ClockHandle::kCounterMask;
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}
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inline uint64_t GetInitialCountdown(Cache::Priority priority) {
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// Set initial clock data from priority
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// TODO: configuration parameters for priority handling and clock cycle
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// count?
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switch (priority) {
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case Cache::Priority::HIGH:
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return ClockHandle::kHighCountdown;
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default:
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assert(false);
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FALLTHROUGH_INTENDED;
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case Cache::Priority::LOW:
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return ClockHandle::kLowCountdown;
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case Cache::Priority::BOTTOM:
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return ClockHandle::kBottomCountdown;
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}
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}
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inline void MarkEmpty(ClockHandle& h) {
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#ifndef NDEBUG
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// Mark slot as empty, with assertion
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uint64_t meta = h.meta.exchange(0, std::memory_order_release);
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assert(meta >> ClockHandle::kStateShift == ClockHandle::kStateConstruction);
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#else
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// Mark slot as empty
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h.meta.store(0, std::memory_order_release);
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#endif
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}
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inline void FreeDataMarkEmpty(ClockHandle& h, MemoryAllocator* allocator) {
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// NOTE: in theory there's more room for parallelism if we copy the handle
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// data and delay actions like this until after marking the entry as empty,
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// but performance tests only show a regression by copying the few words
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// of data.
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h.FreeData(allocator);
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MarkEmpty(h);
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}
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// Called to undo the effect of referencing an entry for internal purposes,
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// so it should not be marked as having been used.
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inline void Unref(const ClockHandle& h, uint64_t count = 1) {
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// Pretend we never took the reference
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// WART: there's a tiny chance we release last ref to invisible
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// entry here. If that happens, we let eviction take care of it.
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h.meta.fetch_sub(ClockHandle::kAcquireIncrement * count,
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std::memory_order_release);
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}
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inline bool ClockUpdate(ClockHandle& h) {
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uint64_t meta = h.meta.load(std::memory_order_relaxed);
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uint64_t acquire_count =
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(meta >> ClockHandle::kAcquireCounterShift) & ClockHandle::kCounterMask;
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uint64_t release_count =
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(meta >> ClockHandle::kReleaseCounterShift) & ClockHandle::kCounterMask;
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// fprintf(stderr, "ClockUpdate @ %p: %lu %lu %u\n", &h, acquire_count,
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// release_count, (unsigned)(meta >> ClockHandle::kStateShift));
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if (acquire_count != release_count) {
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// Only clock update entries with no outstanding refs
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return false;
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}
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if (!((meta >> ClockHandle::kStateShift) & ClockHandle::kStateShareableBit)) {
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// Only clock update Shareable entries
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return false;
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}
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if ((meta >> ClockHandle::kStateShift == ClockHandle::kStateVisible) &&
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acquire_count > 0) {
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// Decrement clock
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uint64_t new_count =
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std::min(acquire_count - 1, uint64_t{ClockHandle::kMaxCountdown} - 1);
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// Compare-exchange in the decremented clock info, but
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// not aggressively
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uint64_t new_meta =
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(uint64_t{ClockHandle::kStateVisible} << ClockHandle::kStateShift) |
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(new_count << ClockHandle::kReleaseCounterShift) |
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(new_count << ClockHandle::kAcquireCounterShift);
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h.meta.compare_exchange_strong(meta, new_meta, std::memory_order_relaxed);
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return false;
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}
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// Otherwise, remove entry (either unreferenced invisible or
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// unreferenced and expired visible).
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if (h.meta.compare_exchange_strong(
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meta,
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uint64_t{ClockHandle::kStateConstruction} << ClockHandle::kStateShift,
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std::memory_order_acquire)) {
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// Took ownership.
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return true;
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} else {
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// Compare-exchange failing probably
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// indicates the entry was used, so skip it in that case.
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return false;
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}
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}
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// If an entry doesn't receive clock updates but is repeatedly referenced &
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// released, the acquire and release counters could overflow without some
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// intervention. This is that intervention, which should be inexpensive
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// because it only incurs a simple, very predictable check. (Applying a bit
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// mask in addition to an increment to every Release likely would be
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// relatively expensive, because it's an extra atomic update.)
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//
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// We do have to assume that we never have many millions of simultaneous
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// references to a cache handle, because we cannot represent so many
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// references with the difference in counters, masked to the number of
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// counter bits. Similarly, we assume there aren't millions of threads
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// holding transient references (which might be "undone" rather than
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// released by the way).
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//
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// Consider these possible states for each counter:
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// low: less than kMaxCountdown
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// medium: kMaxCountdown to half way to overflow + kMaxCountdown
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// high: half way to overflow + kMaxCountdown, or greater
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//
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// And these possible states for the combination of counters:
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// acquire / release
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// ------- -------
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// low low - Normal / common, with caveats (see below)
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// medium low - Can happen while holding some refs
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// high low - Violates assumptions (too many refs)
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// low medium - Violates assumptions (refs underflow, etc.)
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// medium medium - Normal (very read heavy cache)
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// high medium - Can happen while holding some refs
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// low high - This function is supposed to prevent
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// medium high - Violates assumptions (refs underflow, etc.)
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// high high - Needs CorrectNearOverflow
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//
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// Basically, this function detects (high, high) state (inferred from
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// release alone being high) and bumps it back down to (medium, medium)
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// state with the same refcount and the same logical countdown counter
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// (everything > kMaxCountdown is logically the same). Note that bumping
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// down to (low, low) would modify the countdown counter, so is "reserved"
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// in a sense.
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//
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// If near-overflow correction is triggered here, there's no guarantee
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// that another thread hasn't freed the entry and replaced it with another.
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// Therefore, it must be the case that the correction does not affect
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// entries unless they are very old (many millions of acquire-release cycles).
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// (Our bit manipulation is indeed idempotent and only affects entries in
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// exceptional cases.) We assume a pre-empted thread will not stall that long.
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// If it did, the state could be corrupted in the (unlikely) case that the top
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// bit of the acquire counter is set but not the release counter, and thus
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// we only clear the top bit of the acquire counter on resumption. It would
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// then appear that there are too many refs and the entry would be permanently
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// pinned (which is not terrible for an exceptionally rare occurrence), unless
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// it is referenced enough (at least kMaxCountdown more times) for the release
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// counter to reach "high" state again and bumped back to "medium." (This
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// motivates only checking for release counter in high state, not both in high
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// state.)
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inline void CorrectNearOverflow(uint64_t old_meta,
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std::atomic<uint64_t>& meta) {
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// We clear both top-most counter bits at the same time.
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constexpr uint64_t kCounterTopBit = uint64_t{1}
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<< (ClockHandle::kCounterNumBits - 1);
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constexpr uint64_t kClearBits =
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(kCounterTopBit << ClockHandle::kAcquireCounterShift) |
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(kCounterTopBit << ClockHandle::kReleaseCounterShift);
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// A simple check that allows us to initiate clearing the top bits for
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// a large portion of the "high" state space on release counter.
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constexpr uint64_t kCheckBits =
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(kCounterTopBit | (ClockHandle::kMaxCountdown + 1))
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<< ClockHandle::kReleaseCounterShift;
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if (UNLIKELY(old_meta & kCheckBits)) {
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meta.fetch_and(~kClearBits, std::memory_order_relaxed);
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}
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}
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inline bool BeginSlotInsert(const ClockHandleBasicData& proto, ClockHandle& h,
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uint64_t initial_countdown, bool* already_matches) {
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assert(*already_matches == false);
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// Optimistically transition the slot from "empty" to
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// "under construction" (no effect on other states)
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uint64_t old_meta = h.meta.fetch_or(
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uint64_t{ClockHandle::kStateOccupiedBit} << ClockHandle::kStateShift,
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std::memory_order_acq_rel);
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uint64_t old_state = old_meta >> ClockHandle::kStateShift;
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if (old_state == ClockHandle::kStateEmpty) {
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// We've started inserting into an available slot, and taken
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// ownership.
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return true;
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} else if (old_state != ClockHandle::kStateVisible) {
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// Slot not usable / touchable now
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return false;
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}
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// Existing, visible entry, which might be a match.
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// But first, we need to acquire a ref to read it. In fact, number of
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// refs for initial countdown, so that we boost the clock state if
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// this is a match.
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old_meta =
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h.meta.fetch_add(ClockHandle::kAcquireIncrement * initial_countdown,
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std::memory_order_acq_rel);
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// Like Lookup
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if ((old_meta >> ClockHandle::kStateShift) == ClockHandle::kStateVisible) {
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// Acquired a read reference
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if (h.hashed_key == proto.hashed_key) {
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// Match. Release in a way that boosts the clock state
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old_meta =
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h.meta.fetch_add(ClockHandle::kReleaseIncrement * initial_countdown,
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std::memory_order_acq_rel);
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// Correct for possible (but rare) overflow
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CorrectNearOverflow(old_meta, h.meta);
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// Insert detached instead (only if return handle needed)
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*already_matches = true;
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return false;
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} else {
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// Mismatch.
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Unref(h, initial_countdown);
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}
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} else if (UNLIKELY((old_meta >> ClockHandle::kStateShift) ==
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ClockHandle::kStateInvisible)) {
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// Pretend we never took the reference
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Unref(h, initial_countdown);
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} else {
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// For other states, incrementing the acquire counter has no effect
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// so we don't need to undo it.
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// Slot not usable / touchable now.
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}
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return false;
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}
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inline void FinishSlotInsert(const ClockHandleBasicData& proto, ClockHandle& h,
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uint64_t initial_countdown, bool keep_ref) {
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// Save data fields
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ClockHandleBasicData* h_alias = &h;
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*h_alias = proto;
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// Transition from "under construction" state to "visible" state
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uint64_t new_meta = uint64_t{ClockHandle::kStateVisible}
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<< ClockHandle::kStateShift;
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// Maybe with an outstanding reference
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new_meta |= initial_countdown << ClockHandle::kAcquireCounterShift;
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new_meta |= (initial_countdown - keep_ref)
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<< ClockHandle::kReleaseCounterShift;
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#ifndef NDEBUG
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// Save the state transition, with assertion
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uint64_t old_meta = h.meta.exchange(new_meta, std::memory_order_release);
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assert(old_meta >> ClockHandle::kStateShift ==
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ClockHandle::kStateConstruction);
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#else
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// Save the state transition
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h.meta.store(new_meta, std::memory_order_release);
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#endif
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}
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bool TryInsert(const ClockHandleBasicData& proto, ClockHandle& h,
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uint64_t initial_countdown, bool keep_ref,
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bool* already_matches) {
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bool b = BeginSlotInsert(proto, h, initial_countdown, already_matches);
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if (b) {
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FinishSlotInsert(proto, h, initial_countdown, keep_ref);
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}
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return b;
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}
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// Func must be const HandleImpl& -> void callable
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template <class HandleImpl, class Func>
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void ConstApplyToEntriesRange(const Func& func, const HandleImpl* begin,
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const HandleImpl* end,
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bool apply_if_will_be_deleted) {
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uint64_t check_state_mask = ClockHandle::kStateShareableBit;
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if (!apply_if_will_be_deleted) {
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check_state_mask |= ClockHandle::kStateVisibleBit;
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}
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for (const HandleImpl* h = begin; h < end; ++h) {
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// Note: to avoid using compare_exchange, we have to be extra careful.
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uint64_t old_meta = h->meta.load(std::memory_order_relaxed);
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// Check if it's an entry visible to lookups
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if ((old_meta >> ClockHandle::kStateShift) & check_state_mask) {
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// Increment acquire counter. Note: it's possible that the entry has
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// completely changed since we loaded old_meta, but incrementing acquire
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// count is always safe. (Similar to optimistic Lookup here.)
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old_meta = h->meta.fetch_add(ClockHandle::kAcquireIncrement,
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std::memory_order_acquire);
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// Check whether we actually acquired a reference.
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if ((old_meta >> ClockHandle::kStateShift) &
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ClockHandle::kStateShareableBit) {
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// Apply func if appropriate
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if ((old_meta >> ClockHandle::kStateShift) & check_state_mask) {
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func(*h);
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}
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// Pretend we never took the reference
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Unref(*h);
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// No net change, so don't need to check for overflow
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} else {
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// For other states, incrementing the acquire counter has no effect
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// so we don't need to undo it. Furthermore, we cannot safely undo
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// it because we did not acquire a read reference to lock the
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// entry in a Shareable state.
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}
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}
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}
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}
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} // namespace
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void ClockHandleBasicData::FreeData(MemoryAllocator* allocator) const {
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if (helper->del_cb) {
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helper->del_cb(value, allocator);
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}
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}
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template <class HandleImpl>
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HandleImpl* BaseClockTable::StandaloneInsert(
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const ClockHandleBasicData& proto) {
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// Heap allocated separate from table
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HandleImpl* h = new HandleImpl();
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ClockHandleBasicData* h_alias = h;
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*h_alias = proto;
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h->SetStandalone();
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// Single reference (standalone entries only created if returning a refed
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// Handle back to user)
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uint64_t meta = uint64_t{ClockHandle::kStateInvisible}
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<< ClockHandle::kStateShift;
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meta |= uint64_t{1} << ClockHandle::kAcquireCounterShift;
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h->meta.store(meta, std::memory_order_release);
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// Keep track of how much of usage is standalone
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standalone_usage_.fetch_add(proto.GetTotalCharge(),
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std::memory_order_relaxed);
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return h;
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}
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template <class Table>
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typename Table::HandleImpl* BaseClockTable::CreateStandalone(
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ClockHandleBasicData& proto, size_t capacity, bool strict_capacity_limit,
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bool allow_uncharged) {
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Table& derived = static_cast<Table&>(*this);
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typename Table::InsertState state;
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derived.StartInsert(state);
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const size_t total_charge = proto.GetTotalCharge();
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if (strict_capacity_limit) {
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Status s = ChargeUsageMaybeEvictStrict<Table>(
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total_charge, capacity,
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/*need_evict_for_occupancy=*/false, state);
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if (!s.ok()) {
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if (allow_uncharged) {
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proto.total_charge = 0;
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} else {
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return nullptr;
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}
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}
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} else {
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// Case strict_capacity_limit == false
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bool success = ChargeUsageMaybeEvictNonStrict<Table>(
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total_charge, capacity,
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/*need_evict_for_occupancy=*/false, state);
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if (!success) {
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// Force the issue
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usage_.fetch_add(total_charge, std::memory_order_relaxed);
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}
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}
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return StandaloneInsert<typename Table::HandleImpl>(proto);
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}
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template <class Table>
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Status BaseClockTable::ChargeUsageMaybeEvictStrict(
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size_t total_charge, size_t capacity, bool need_evict_for_occupancy,
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typename Table::InsertState& state) {
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if (total_charge > capacity) {
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return Status::MemoryLimit(
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"Cache entry too large for a single cache shard: " +
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std::to_string(total_charge) + " > " + std::to_string(capacity));
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}
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// Grab any available capacity, and free up any more required.
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size_t old_usage = usage_.load(std::memory_order_relaxed);
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size_t new_usage;
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if (LIKELY(old_usage != capacity)) {
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do {
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new_usage = std::min(capacity, old_usage + total_charge);
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} while (!usage_.compare_exchange_weak(old_usage, new_usage,
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std::memory_order_relaxed));
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} else {
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new_usage = old_usage;
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}
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// How much do we need to evict then?
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size_t need_evict_charge = old_usage + total_charge - new_usage;
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size_t request_evict_charge = need_evict_charge;
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if (UNLIKELY(need_evict_for_occupancy) && request_evict_charge == 0) {
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// Require at least 1 eviction.
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request_evict_charge = 1;
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}
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if (request_evict_charge > 0) {
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EvictionData data;
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static_cast<Table*>(this)->Evict(request_evict_charge, state, &data);
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occupancy_.fetch_sub(data.freed_count, std::memory_order_release);
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if (LIKELY(data.freed_charge > need_evict_charge)) {
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assert(data.freed_count > 0);
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// Evicted more than enough
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usage_.fetch_sub(data.freed_charge - need_evict_charge,
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std::memory_order_relaxed);
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} else if (data.freed_charge < need_evict_charge ||
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(UNLIKELY(need_evict_for_occupancy) && data.freed_count == 0)) {
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// Roll back to old usage minus evicted
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usage_.fetch_sub(data.freed_charge + (new_usage - old_usage),
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std::memory_order_relaxed);
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if (data.freed_charge < need_evict_charge) {
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return Status::MemoryLimit(
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"Insert failed because unable to evict entries to stay within "
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"capacity limit.");
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} else {
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return Status::MemoryLimit(
|
|
"Insert failed because unable to evict entries to stay within "
|
|
"table occupancy limit.");
|
|
}
|
|
}
|
|
// If we needed to evict something and we are proceeding, we must have
|
|
// evicted something.
|
|
assert(data.freed_count > 0);
|
|
}
|
|
return Status::OK();
|
|
}
|
|
|
|
template <class Table>
|
|
inline bool BaseClockTable::ChargeUsageMaybeEvictNonStrict(
|
|
size_t total_charge, size_t capacity, bool need_evict_for_occupancy,
|
|
typename Table::InsertState& state) {
|
|
// For simplicity, we consider that either the cache can accept the insert
|
|
// with no evictions, or we must evict enough to make (at least) enough
|
|
// space. It could lead to unnecessary failures or excessive evictions in
|
|
// some extreme cases, but allows a fast, simple protocol. If we allow a
|
|
// race to get us over capacity, then we might never get back to capacity
|
|
// limit if the sizes of entries allow each insertion to evict the minimum
|
|
// charge. Thus, we should evict some extra if it's not a signifcant
|
|
// portion of the shard capacity. This can have the side benefit of
|
|
// involving fewer threads in eviction.
|
|
size_t old_usage = usage_.load(std::memory_order_relaxed);
|
|
size_t need_evict_charge;
|
|
// NOTE: if total_charge > old_usage, there isn't yet enough to evict
|
|
// `total_charge` amount. Even if we only try to evict `old_usage` amount,
|
|
// there's likely something referenced and we would eat CPU looking for
|
|
// enough to evict.
|
|
if (old_usage + total_charge <= capacity || total_charge > old_usage) {
|
|
// Good enough for me (might run over with a race)
|
|
need_evict_charge = 0;
|
|
} else {
|
|
// Try to evict enough space, and maybe some extra
|
|
need_evict_charge = total_charge;
|
|
if (old_usage > capacity) {
|
|
// Not too much to avoid thundering herd while avoiding strict
|
|
// synchronization, such as the compare_exchange used with strict
|
|
// capacity limit.
|
|
need_evict_charge += std::min(capacity / 1024, total_charge) + 1;
|
|
}
|
|
}
|
|
if (UNLIKELY(need_evict_for_occupancy) && need_evict_charge == 0) {
|
|
// Special case: require at least 1 eviction if we only have to
|
|
// deal with occupancy
|
|
need_evict_charge = 1;
|
|
}
|
|
EvictionData data;
|
|
if (need_evict_charge > 0) {
|
|
static_cast<Table*>(this)->Evict(need_evict_charge, state, &data);
|
|
// Deal with potential occupancy deficit
|
|
if (UNLIKELY(need_evict_for_occupancy) && data.freed_count == 0) {
|
|
assert(data.freed_charge == 0);
|
|
// Can't meet occupancy requirement
|
|
return false;
|
|
} else {
|
|
// Update occupancy for evictions
|
|
occupancy_.fetch_sub(data.freed_count, std::memory_order_release);
|
|
}
|
|
}
|
|
// Track new usage even if we weren't able to evict enough
|
|
usage_.fetch_add(total_charge - data.freed_charge, std::memory_order_relaxed);
|
|
// No underflow
|
|
assert(usage_.load(std::memory_order_relaxed) < SIZE_MAX / 2);
|
|
// Success
|
|
return true;
|
|
}
|
|
|
|
void BaseClockTable::TrackAndReleaseEvictedEntry(
|
|
ClockHandle* h, BaseClockTable::EvictionData* data) {
|
|
data->freed_charge += h->GetTotalCharge();
|
|
data->freed_count += 1;
|
|
|
|
bool took_value_ownership = false;
|
|
if (eviction_callback_) {
|
|
// For key reconstructed from hash
|
|
UniqueId64x2 unhashed;
|
|
took_value_ownership =
|
|
eviction_callback_(ClockCacheShard<HyperClockTable>::ReverseHash(
|
|
h->GetHash(), &unhashed, hash_seed_),
|
|
reinterpret_cast<Cache::Handle*>(h));
|
|
}
|
|
if (!took_value_ownership) {
|
|
h->FreeData(allocator_);
|
|
}
|
|
MarkEmpty(*h);
|
|
}
|
|
|
|
template <class Table>
|
|
Status BaseClockTable::Insert(const ClockHandleBasicData& proto,
|
|
typename Table::HandleImpl** handle,
|
|
Cache::Priority priority, size_t capacity,
|
|
bool strict_capacity_limit) {
|
|
using HandleImpl = typename Table::HandleImpl;
|
|
Table& derived = static_cast<Table&>(*this);
|
|
|
|
typename Table::InsertState state;
|
|
derived.StartInsert(state);
|
|
|
|
// Do we have the available occupancy? Optimistically assume we do
|
|
// and deal with it if we don't.
|
|
size_t old_occupancy = occupancy_.fetch_add(1, std::memory_order_acquire);
|
|
// Whether we over-committed and need an eviction to make up for it
|
|
bool need_evict_for_occupancy =
|
|
!derived.GrowIfNeeded(old_occupancy + 1, state);
|
|
|
|
// Usage/capacity handling is somewhat different depending on
|
|
// strict_capacity_limit, but mostly pessimistic.
|
|
bool use_standalone_insert = false;
|
|
const size_t total_charge = proto.GetTotalCharge();
|
|
if (strict_capacity_limit) {
|
|
Status s = ChargeUsageMaybeEvictStrict<Table>(
|
|
total_charge, capacity, need_evict_for_occupancy, state);
|
|
if (!s.ok()) {
|
|
// Revert occupancy
|
|
occupancy_.fetch_sub(1, std::memory_order_relaxed);
|
|
return s;
|
|
}
|
|
} else {
|
|
// Case strict_capacity_limit == false
|
|
bool success = ChargeUsageMaybeEvictNonStrict<Table>(
|
|
total_charge, capacity, need_evict_for_occupancy, state);
|
|
if (!success) {
|
|
// Revert occupancy
|
|
occupancy_.fetch_sub(1, std::memory_order_relaxed);
|
|
if (handle == nullptr) {
|
|
// Don't insert the entry but still return ok, as if the entry
|
|
// inserted into cache and evicted immediately.
|
|
proto.FreeData(allocator_);
|
|
return Status::OK();
|
|
} else {
|
|
// Need to track usage of fallback standalone insert
|
|
usage_.fetch_add(total_charge, std::memory_order_relaxed);
|
|
use_standalone_insert = true;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (!use_standalone_insert) {
|
|
// Attempt a table insert, but abort if we find an existing entry for the
|
|
// key. If we were to overwrite old entries, we would either
|
|
// * Have to gain ownership over an existing entry to overwrite it, which
|
|
// would only work if there are no outstanding (read) references and would
|
|
// create a small gap in availability of the entry (old or new) to lookups.
|
|
// * Have to insert into a suboptimal location (more probes) so that the
|
|
// old entry can be kept around as well.
|
|
|
|
uint64_t initial_countdown = GetInitialCountdown(priority);
|
|
assert(initial_countdown > 0);
|
|
|
|
HandleImpl* e =
|
|
derived.DoInsert(proto, initial_countdown, handle != nullptr, state);
|
|
|
|
if (e) {
|
|
// Successfully inserted
|
|
if (handle) {
|
|
*handle = e;
|
|
}
|
|
return Status::OK();
|
|
}
|
|
// Not inserted
|
|
// Revert occupancy
|
|
occupancy_.fetch_sub(1, std::memory_order_relaxed);
|
|
// Maybe fall back on standalone insert
|
|
if (handle == nullptr) {
|
|
// Revert usage
|
|
usage_.fetch_sub(total_charge, std::memory_order_relaxed);
|
|
// No underflow
|
|
assert(usage_.load(std::memory_order_relaxed) < SIZE_MAX / 2);
|
|
// As if unrefed entry immdiately evicted
|
|
proto.FreeData(allocator_);
|
|
return Status::OK();
|
|
}
|
|
|
|
use_standalone_insert = true;
|
|
}
|
|
|
|
// Run standalone insert
|
|
assert(use_standalone_insert);
|
|
|
|
*handle = StandaloneInsert<HandleImpl>(proto);
|
|
|
|
// The OkOverwritten status is used to count "redundant" insertions into
|
|
// block cache. This implementation doesn't strictly check for redundant
|
|
// insertions, but we instead are probably interested in how many insertions
|
|
// didn't go into the table (instead "standalone"), which could be redundant
|
|
// Insert or some other reason (use_standalone_insert reasons above).
|
|
return Status::OkOverwritten();
|
|
}
|
|
|
|
void BaseClockTable::Ref(ClockHandle& h) {
|
|
// Increment acquire counter
|
|
uint64_t old_meta = h.meta.fetch_add(ClockHandle::kAcquireIncrement,
|
|
std::memory_order_acquire);
|
|
|
|
assert((old_meta >> ClockHandle::kStateShift) &
|
|
ClockHandle::kStateShareableBit);
|
|
// Must have already had a reference
|
|
assert(GetRefcount(old_meta) > 0);
|
|
(void)old_meta;
|
|
}
|
|
|
|
#ifndef NDEBUG
|
|
void BaseClockTable::TEST_RefN(ClockHandle& h, size_t n) {
|
|
// Increment acquire counter
|
|
uint64_t old_meta = h.meta.fetch_add(n * ClockHandle::kAcquireIncrement,
|
|
std::memory_order_acquire);
|
|
|
|
assert((old_meta >> ClockHandle::kStateShift) &
|
|
ClockHandle::kStateShareableBit);
|
|
(void)old_meta;
|
|
}
|
|
|
|
void BaseClockTable::TEST_ReleaseNMinus1(ClockHandle* h, size_t n) {
|
|
assert(n > 0);
|
|
|
|
// Like n-1 Releases, but assumes one more will happen in the caller to take
|
|
// care of anything like erasing an unreferenced, invisible entry.
|
|
uint64_t old_meta = h->meta.fetch_add(
|
|
(n - 1) * ClockHandle::kReleaseIncrement, std::memory_order_acquire);
|
|
assert((old_meta >> ClockHandle::kStateShift) &
|
|
ClockHandle::kStateShareableBit);
|
|
(void)old_meta;
|
|
}
|
|
#endif
|
|
|
|
HyperClockTable::HyperClockTable(
|
|
size_t capacity, bool /*strict_capacity_limit*/,
|
|
CacheMetadataChargePolicy metadata_charge_policy,
|
|
MemoryAllocator* allocator,
|
|
const Cache::EvictionCallback* eviction_callback, const uint32_t* hash_seed,
|
|
const Opts& opts)
|
|
: BaseClockTable(metadata_charge_policy, allocator, eviction_callback,
|
|
hash_seed),
|
|
length_bits_(CalcHashBits(capacity, opts.estimated_value_size,
|
|
metadata_charge_policy)),
|
|
length_bits_mask_((size_t{1} << length_bits_) - 1),
|
|
occupancy_limit_(static_cast<size_t>((uint64_t{1} << length_bits_) *
|
|
kStrictLoadFactor)),
|
|
array_(new HandleImpl[size_t{1} << length_bits_]) {
|
|
if (metadata_charge_policy ==
|
|
CacheMetadataChargePolicy::kFullChargeCacheMetadata) {
|
|
usage_ += size_t{GetTableSize()} * sizeof(HandleImpl);
|
|
}
|
|
|
|
static_assert(sizeof(HandleImpl) == 64U,
|
|
"Expecting size / alignment with common cache line size");
|
|
}
|
|
|
|
HyperClockTable::~HyperClockTable() {
|
|
// Assumes there are no references or active operations on any slot/element
|
|
// in the table.
|
|
for (size_t i = 0; i < GetTableSize(); i++) {
|
|
HandleImpl& h = array_[i];
|
|
switch (h.meta >> ClockHandle::kStateShift) {
|
|
case ClockHandle::kStateEmpty:
|
|
// noop
|
|
break;
|
|
case ClockHandle::kStateInvisible: // rare but possible
|
|
case ClockHandle::kStateVisible:
|
|
assert(GetRefcount(h.meta) == 0);
|
|
h.FreeData(allocator_);
|
|
#ifndef NDEBUG
|
|
Rollback(h.hashed_key, &h);
|
|
ReclaimEntryUsage(h.GetTotalCharge());
|
|
#endif
|
|
break;
|
|
// otherwise
|
|
default:
|
|
assert(false);
|
|
break;
|
|
}
|
|
}
|
|
|
|
#ifndef NDEBUG
|
|
for (size_t i = 0; i < GetTableSize(); i++) {
|
|
assert(array_[i].displacements.load() == 0);
|
|
}
|
|
#endif
|
|
|
|
assert(usage_.load() == 0 ||
|
|
usage_.load() == size_t{GetTableSize()} * sizeof(HandleImpl));
|
|
assert(occupancy_ == 0);
|
|
}
|
|
|
|
void HyperClockTable::StartInsert(InsertState&) {}
|
|
|
|
bool HyperClockTable::GrowIfNeeded(size_t new_occupancy, InsertState&) {
|
|
return new_occupancy <= occupancy_limit_;
|
|
}
|
|
|
|
HyperClockTable::HandleImpl* HyperClockTable::DoInsert(
|
|
const ClockHandleBasicData& proto, uint64_t initial_countdown,
|
|
bool keep_ref, InsertState&) {
|
|
bool already_matches = false;
|
|
HandleImpl* e = FindSlot(
|
|
proto.hashed_key,
|
|
[&](HandleImpl* h) {
|
|
return TryInsert(proto, *h, initial_countdown, keep_ref,
|
|
&already_matches);
|
|
},
|
|
[&](HandleImpl* h) {
|
|
if (already_matches) {
|
|
// Stop searching & roll back displacements
|
|
Rollback(proto.hashed_key, h);
|
|
return true;
|
|
} else {
|
|
// Keep going
|
|
return false;
|
|
}
|
|
},
|
|
[&](HandleImpl* h, bool is_last) {
|
|
if (is_last) {
|
|
// Search is ending. Roll back displacements
|
|
Rollback(proto.hashed_key, h);
|
|
} else {
|
|
h->displacements.fetch_add(1, std::memory_order_relaxed);
|
|
}
|
|
});
|
|
if (already_matches) {
|
|
// Insertion skipped
|
|
return nullptr;
|
|
}
|
|
if (e != nullptr) {
|
|
// Successfully inserted
|
|
return e;
|
|
}
|
|
// Else, no available slot found. Occupancy check should generally prevent
|
|
// this, except it's theoretically possible for other threads to evict and
|
|
// replace entries in the right order to hit every slot when it is populated.
|
|
// Assuming random hashing, the chance of that should be no higher than
|
|
// pow(kStrictLoadFactor, n) for n slots. That should be infeasible for
|
|
// roughly n >= 256, so if this assertion fails, that suggests something is
|
|
// going wrong.
|
|
assert(GetTableSize() < 256);
|
|
return nullptr;
|
|
}
|
|
|
|
HyperClockTable::HandleImpl* HyperClockTable::Lookup(
|
|
const UniqueId64x2& hashed_key) {
|
|
HandleImpl* e = FindSlot(
|
|
hashed_key,
|
|
[&](HandleImpl* h) {
|
|
// Mostly branch-free version (similar performance)
|
|
/*
|
|
uint64_t old_meta = h->meta.fetch_add(ClockHandle::kAcquireIncrement,
|
|
std::memory_order_acquire);
|
|
bool Shareable = (old_meta >> (ClockHandle::kStateShift + 1)) & 1U;
|
|
bool visible = (old_meta >> ClockHandle::kStateShift) & 1U;
|
|
bool match = (h->key == key) & visible;
|
|
h->meta.fetch_sub(static_cast<uint64_t>(Shareable & !match) <<
|
|
ClockHandle::kAcquireCounterShift, std::memory_order_release); return
|
|
match;
|
|
*/
|
|
// Optimistic lookup should pay off when the table is relatively
|
|
// sparse.
|
|
constexpr bool kOptimisticLookup = true;
|
|
uint64_t old_meta;
|
|
if (!kOptimisticLookup) {
|
|
old_meta = h->meta.load(std::memory_order_acquire);
|
|
if ((old_meta >> ClockHandle::kStateShift) !=
|
|
ClockHandle::kStateVisible) {
|
|
return false;
|
|
}
|
|
}
|
|
// (Optimistically) increment acquire counter
|
|
old_meta = h->meta.fetch_add(ClockHandle::kAcquireIncrement,
|
|
std::memory_order_acquire);
|
|
// Check if it's an entry visible to lookups
|
|
if ((old_meta >> ClockHandle::kStateShift) ==
|
|
ClockHandle::kStateVisible) {
|
|
// Acquired a read reference
|
|
if (h->hashed_key == hashed_key) {
|
|
// Match
|
|
return true;
|
|
} else {
|
|
// Mismatch. Pretend we never took the reference
|
|
Unref(*h);
|
|
}
|
|
} else if (UNLIKELY((old_meta >> ClockHandle::kStateShift) ==
|
|
ClockHandle::kStateInvisible)) {
|
|
// Pretend we never took the reference
|
|
Unref(*h);
|
|
} else {
|
|
// For other states, incrementing the acquire counter has no effect
|
|
// so we don't need to undo it. Furthermore, we cannot safely undo
|
|
// it because we did not acquire a read reference to lock the
|
|
// entry in a Shareable state.
|
|
}
|
|
return false;
|
|
},
|
|
[&](HandleImpl* h) {
|
|
return h->displacements.load(std::memory_order_relaxed) == 0;
|
|
},
|
|
[&](HandleImpl* /*h*/, bool /*is_last*/) {});
|
|
|
|
return e;
|
|
}
|
|
|
|
bool HyperClockTable::Release(HandleImpl* h, bool useful,
|
|
bool erase_if_last_ref) {
|
|
// In contrast with LRUCache's Release, this function won't delete the handle
|
|
// when the cache is above capacity and the reference is the last one. Space
|
|
// is only freed up by EvictFromClock (called by Insert when space is needed)
|
|
// and Erase. We do this to avoid an extra atomic read of the variable usage_.
|
|
|
|
uint64_t old_meta;
|
|
if (useful) {
|
|
// Increment release counter to indicate was used
|
|
old_meta = h->meta.fetch_add(ClockHandle::kReleaseIncrement,
|
|
std::memory_order_release);
|
|
} else {
|
|
// Decrement acquire counter to pretend it never happened
|
|
old_meta = h->meta.fetch_sub(ClockHandle::kAcquireIncrement,
|
|
std::memory_order_release);
|
|
}
|
|
|
|
assert((old_meta >> ClockHandle::kStateShift) &
|
|
ClockHandle::kStateShareableBit);
|
|
// No underflow
|
|
assert(((old_meta >> ClockHandle::kAcquireCounterShift) &
|
|
ClockHandle::kCounterMask) !=
|
|
((old_meta >> ClockHandle::kReleaseCounterShift) &
|
|
ClockHandle::kCounterMask));
|
|
|
|
if (erase_if_last_ref || UNLIKELY(old_meta >> ClockHandle::kStateShift ==
|
|
ClockHandle::kStateInvisible)) {
|
|
// Update for last fetch_add op
|
|
if (useful) {
|
|
old_meta += ClockHandle::kReleaseIncrement;
|
|
} else {
|
|
old_meta -= ClockHandle::kAcquireIncrement;
|
|
}
|
|
// Take ownership if no refs
|
|
do {
|
|
if (GetRefcount(old_meta) != 0) {
|
|
// Not last ref at some point in time during this Release call
|
|
// Correct for possible (but rare) overflow
|
|
CorrectNearOverflow(old_meta, h->meta);
|
|
return false;
|
|
}
|
|
if ((old_meta & (uint64_t{ClockHandle::kStateShareableBit}
|
|
<< ClockHandle::kStateShift)) == 0) {
|
|
// Someone else took ownership
|
|
return false;
|
|
}
|
|
// Note that there's a small chance that we release, another thread
|
|
// replaces this entry with another, reaches zero refs, and then we end
|
|
// up erasing that other entry. That's an acceptable risk / imprecision.
|
|
} while (!h->meta.compare_exchange_weak(
|
|
old_meta,
|
|
uint64_t{ClockHandle::kStateConstruction} << ClockHandle::kStateShift,
|
|
std::memory_order_acquire));
|
|
// Took ownership
|
|
size_t total_charge = h->GetTotalCharge();
|
|
if (UNLIKELY(h->IsStandalone())) {
|
|
h->FreeData(allocator_);
|
|
// Delete standalone handle
|
|
delete h;
|
|
standalone_usage_.fetch_sub(total_charge, std::memory_order_relaxed);
|
|
usage_.fetch_sub(total_charge, std::memory_order_relaxed);
|
|
} else {
|
|
Rollback(h->hashed_key, h);
|
|
FreeDataMarkEmpty(*h, allocator_);
|
|
ReclaimEntryUsage(total_charge);
|
|
}
|
|
return true;
|
|
} else {
|
|
// Correct for possible (but rare) overflow
|
|
CorrectNearOverflow(old_meta, h->meta);
|
|
return false;
|
|
}
|
|
}
|
|
|
|
#ifndef NDEBUG
|
|
void HyperClockTable::TEST_ReleaseN(HandleImpl* h, size_t n) {
|
|
if (n > 0) {
|
|
// Do n-1 simple releases first
|
|
TEST_ReleaseNMinus1(h, n);
|
|
|
|
// Then the last release might be more involved
|
|
Release(h, /*useful*/ true, /*erase_if_last_ref*/ false);
|
|
}
|
|
}
|
|
#endif
|
|
|
|
void HyperClockTable::Erase(const UniqueId64x2& hashed_key) {
|
|
(void)FindSlot(
|
|
hashed_key,
|
|
[&](HandleImpl* h) {
|
|
// Could be multiple entries in rare cases. Erase them all.
|
|
// Optimistically increment acquire counter
|
|
uint64_t old_meta = h->meta.fetch_add(ClockHandle::kAcquireIncrement,
|
|
std::memory_order_acquire);
|
|
// Check if it's an entry visible to lookups
|
|
if ((old_meta >> ClockHandle::kStateShift) ==
|
|
ClockHandle::kStateVisible) {
|
|
// Acquired a read reference
|
|
if (h->hashed_key == hashed_key) {
|
|
// Match. Set invisible.
|
|
old_meta =
|
|
h->meta.fetch_and(~(uint64_t{ClockHandle::kStateVisibleBit}
|
|
<< ClockHandle::kStateShift),
|
|
std::memory_order_acq_rel);
|
|
// Apply update to local copy
|
|
old_meta &= ~(uint64_t{ClockHandle::kStateVisibleBit}
|
|
<< ClockHandle::kStateShift);
|
|
for (;;) {
|
|
uint64_t refcount = GetRefcount(old_meta);
|
|
assert(refcount > 0);
|
|
if (refcount > 1) {
|
|
// Not last ref at some point in time during this Erase call
|
|
// Pretend we never took the reference
|
|
Unref(*h);
|
|
break;
|
|
} else if (h->meta.compare_exchange_weak(
|
|
old_meta,
|
|
uint64_t{ClockHandle::kStateConstruction}
|
|
<< ClockHandle::kStateShift,
|
|
std::memory_order_acq_rel)) {
|
|
// Took ownership
|
|
assert(hashed_key == h->hashed_key);
|
|
size_t total_charge = h->GetTotalCharge();
|
|
FreeDataMarkEmpty(*h, allocator_);
|
|
ReclaimEntryUsage(total_charge);
|
|
// We already have a copy of hashed_key in this case, so OK to
|
|
// delay Rollback until after releasing the entry
|
|
Rollback(hashed_key, h);
|
|
break;
|
|
}
|
|
}
|
|
} else {
|
|
// Mismatch. Pretend we never took the reference
|
|
Unref(*h);
|
|
}
|
|
} else if (UNLIKELY((old_meta >> ClockHandle::kStateShift) ==
|
|
ClockHandle::kStateInvisible)) {
|
|
// Pretend we never took the reference
|
|
Unref(*h);
|
|
} else {
|
|
// For other states, incrementing the acquire counter has no effect
|
|
// so we don't need to undo it.
|
|
}
|
|
return false;
|
|
},
|
|
[&](HandleImpl* h) {
|
|
return h->displacements.load(std::memory_order_relaxed) == 0;
|
|
},
|
|
[&](HandleImpl* /*h*/, bool /*is_last*/) {});
|
|
}
|
|
|
|
void HyperClockTable::EraseUnRefEntries() {
|
|
for (size_t i = 0; i <= this->length_bits_mask_; i++) {
|
|
HandleImpl& h = array_[i];
|
|
|
|
uint64_t old_meta = h.meta.load(std::memory_order_relaxed);
|
|
if (old_meta & (uint64_t{ClockHandle::kStateShareableBit}
|
|
<< ClockHandle::kStateShift) &&
|
|
GetRefcount(old_meta) == 0 &&
|
|
h.meta.compare_exchange_strong(old_meta,
|
|
uint64_t{ClockHandle::kStateConstruction}
|
|
<< ClockHandle::kStateShift,
|
|
std::memory_order_acquire)) {
|
|
// Took ownership
|
|
size_t total_charge = h.GetTotalCharge();
|
|
Rollback(h.hashed_key, &h);
|
|
FreeDataMarkEmpty(h, allocator_);
|
|
ReclaimEntryUsage(total_charge);
|
|
}
|
|
}
|
|
}
|
|
|
|
template <typename MatchFn, typename AbortFn, typename UpdateFn>
|
|
inline HyperClockTable::HandleImpl* HyperClockTable::FindSlot(
|
|
const UniqueId64x2& hashed_key, const MatchFn& match_fn,
|
|
const AbortFn& abort_fn, const UpdateFn& update_fn) {
|
|
// NOTE: upper 32 bits of hashed_key[0] is used for sharding
|
|
//
|
|
// We use double-hashing probing. Every probe in the sequence is a
|
|
// pseudorandom integer, computed as a linear function of two random hashes,
|
|
// which we call base and increment. Specifically, the i-th probe is base + i
|
|
// * increment modulo the table size.
|
|
size_t base = static_cast<size_t>(hashed_key[1]);
|
|
// We use an odd increment, which is relatively prime with the power-of-two
|
|
// table size. This implies that we cycle back to the first probe only
|
|
// after probing every slot exactly once.
|
|
// TODO: we could also reconsider linear probing, though locality benefits
|
|
// are limited because each slot is a full cache line
|
|
size_t increment = static_cast<size_t>(hashed_key[0]) | 1U;
|
|
size_t first = ModTableSize(base);
|
|
size_t current = first;
|
|
bool is_last;
|
|
do {
|
|
HandleImpl* h = &array_[current];
|
|
if (match_fn(h)) {
|
|
return h;
|
|
}
|
|
if (abort_fn(h)) {
|
|
return nullptr;
|
|
}
|
|
current = ModTableSize(current + increment);
|
|
is_last = current == first;
|
|
update_fn(h, is_last);
|
|
} while (!is_last);
|
|
// We looped back.
|
|
return nullptr;
|
|
}
|
|
|
|
inline void HyperClockTable::Rollback(const UniqueId64x2& hashed_key,
|
|
const HandleImpl* h) {
|
|
size_t current = ModTableSize(hashed_key[1]);
|
|
size_t increment = static_cast<size_t>(hashed_key[0]) | 1U;
|
|
while (&array_[current] != h) {
|
|
array_[current].displacements.fetch_sub(1, std::memory_order_relaxed);
|
|
current = ModTableSize(current + increment);
|
|
}
|
|
}
|
|
|
|
inline void HyperClockTable::ReclaimEntryUsage(size_t total_charge) {
|
|
auto old_occupancy = occupancy_.fetch_sub(1U, std::memory_order_release);
|
|
(void)old_occupancy;
|
|
// No underflow
|
|
assert(old_occupancy > 0);
|
|
auto old_usage = usage_.fetch_sub(total_charge, std::memory_order_relaxed);
|
|
(void)old_usage;
|
|
// No underflow
|
|
assert(old_usage >= total_charge);
|
|
}
|
|
|
|
inline void HyperClockTable::Evict(size_t requested_charge, InsertState&,
|
|
EvictionData* data) {
|
|
// precondition
|
|
assert(requested_charge > 0);
|
|
|
|
// TODO: make a tuning parameter?
|
|
constexpr size_t step_size = 4;
|
|
|
|
// First (concurrent) increment clock pointer
|
|
uint64_t old_clock_pointer =
|
|
clock_pointer_.fetch_add(step_size, std::memory_order_relaxed);
|
|
|
|
// Cap the eviction effort at this thread (along with those operating in
|
|
// parallel) circling through the whole structure kMaxCountdown times.
|
|
// In other words, this eviction run must find something/anything that is
|
|
// unreferenced at start of and during the eviction run that isn't reclaimed
|
|
// by a concurrent eviction run.
|
|
uint64_t max_clock_pointer =
|
|
old_clock_pointer + (ClockHandle::kMaxCountdown << length_bits_);
|
|
|
|
for (;;) {
|
|
for (size_t i = 0; i < step_size; i++) {
|
|
HandleImpl& h = array_[ModTableSize(Lower32of64(old_clock_pointer + i))];
|
|
bool evicting = ClockUpdate(h);
|
|
if (evicting) {
|
|
Rollback(h.hashed_key, &h);
|
|
TrackAndReleaseEvictedEntry(&h, data);
|
|
}
|
|
}
|
|
|
|
// Loop exit condition
|
|
if (data->freed_charge >= requested_charge) {
|
|
return;
|
|
}
|
|
if (old_clock_pointer >= max_clock_pointer) {
|
|
return;
|
|
}
|
|
|
|
// Advance clock pointer (concurrently)
|
|
old_clock_pointer =
|
|
clock_pointer_.fetch_add(step_size, std::memory_order_relaxed);
|
|
}
|
|
}
|
|
|
|
template <class Table>
|
|
ClockCacheShard<Table>::ClockCacheShard(
|
|
size_t capacity, bool strict_capacity_limit,
|
|
CacheMetadataChargePolicy metadata_charge_policy,
|
|
MemoryAllocator* allocator,
|
|
const Cache::EvictionCallback* eviction_callback, const uint32_t* hash_seed,
|
|
const typename Table::Opts& opts)
|
|
: CacheShardBase(metadata_charge_policy),
|
|
table_(capacity, strict_capacity_limit, metadata_charge_policy, allocator,
|
|
eviction_callback, hash_seed, opts),
|
|
capacity_(capacity),
|
|
strict_capacity_limit_(strict_capacity_limit) {
|
|
// Initial charge metadata should not exceed capacity
|
|
assert(table_.GetUsage() <= capacity_ || capacity_ < sizeof(HandleImpl));
|
|
}
|
|
|
|
template <class Table>
|
|
void ClockCacheShard<Table>::EraseUnRefEntries() {
|
|
table_.EraseUnRefEntries();
|
|
}
|
|
|
|
template <class Table>
|
|
void ClockCacheShard<Table>::ApplyToSomeEntries(
|
|
const std::function<void(const Slice& key, Cache::ObjectPtr value,
|
|
size_t charge,
|
|
const Cache::CacheItemHelper* helper)>& callback,
|
|
size_t average_entries_per_lock, size_t* state) {
|
|
// The state will be a simple index into the table. Even with a dynamic
|
|
// hyper clock cache, entries will generally stay in their existing
|
|
// slots, so we don't need to be aware of the high-level organization
|
|
// that makes lookup efficient.
|
|
size_t length = table_.GetTableSize();
|
|
|
|
assert(average_entries_per_lock > 0);
|
|
|
|
size_t index_begin = *state;
|
|
size_t index_end = index_begin + average_entries_per_lock;
|
|
if (index_end >= length) {
|
|
// Going to end.
|
|
index_end = length;
|
|
*state = SIZE_MAX;
|
|
} else {
|
|
*state = index_end;
|
|
}
|
|
|
|
auto hash_seed = table_.GetHashSeed();
|
|
ConstApplyToEntriesRange(
|
|
[callback, hash_seed](const HandleImpl& h) {
|
|
UniqueId64x2 unhashed;
|
|
callback(ReverseHash(h.hashed_key, &unhashed, hash_seed), h.value,
|
|
h.GetTotalCharge(), h.helper);
|
|
},
|
|
table_.HandlePtr(index_begin), table_.HandlePtr(index_end), false);
|
|
}
|
|
|
|
int HyperClockTable::CalcHashBits(
|
|
size_t capacity, size_t estimated_value_size,
|
|
CacheMetadataChargePolicy metadata_charge_policy) {
|
|
double average_slot_charge = estimated_value_size * kLoadFactor;
|
|
if (metadata_charge_policy == kFullChargeCacheMetadata) {
|
|
average_slot_charge += sizeof(HandleImpl);
|
|
}
|
|
assert(average_slot_charge > 0.0);
|
|
uint64_t num_slots =
|
|
static_cast<uint64_t>(capacity / average_slot_charge + 0.999999);
|
|
|
|
int hash_bits = FloorLog2((num_slots << 1) - 1);
|
|
if (metadata_charge_policy == kFullChargeCacheMetadata) {
|
|
// For very small estimated value sizes, it's possible to overshoot
|
|
while (hash_bits > 0 &&
|
|
uint64_t{sizeof(HandleImpl)} << hash_bits > capacity) {
|
|
hash_bits--;
|
|
}
|
|
}
|
|
return hash_bits;
|
|
}
|
|
|
|
template <class Table>
|
|
void ClockCacheShard<Table>::SetCapacity(size_t capacity) {
|
|
capacity_.store(capacity, std::memory_order_relaxed);
|
|
// next Insert will take care of any necessary evictions
|
|
}
|
|
|
|
template <class Table>
|
|
void ClockCacheShard<Table>::SetStrictCapacityLimit(
|
|
bool strict_capacity_limit) {
|
|
strict_capacity_limit_.store(strict_capacity_limit,
|
|
std::memory_order_relaxed);
|
|
// next Insert will take care of any necessary evictions
|
|
}
|
|
|
|
template <class Table>
|
|
Status ClockCacheShard<Table>::Insert(const Slice& key,
|
|
const UniqueId64x2& hashed_key,
|
|
Cache::ObjectPtr value,
|
|
const Cache::CacheItemHelper* helper,
|
|
size_t charge, HandleImpl** handle,
|
|
Cache::Priority priority) {
|
|
if (UNLIKELY(key.size() != kCacheKeySize)) {
|
|
return Status::NotSupported("ClockCache only supports key size " +
|
|
std::to_string(kCacheKeySize) + "B");
|
|
}
|
|
ClockHandleBasicData proto;
|
|
proto.hashed_key = hashed_key;
|
|
proto.value = value;
|
|
proto.helper = helper;
|
|
proto.total_charge = charge;
|
|
return table_.template Insert<Table>(
|
|
proto, handle, priority, capacity_.load(std::memory_order_relaxed),
|
|
strict_capacity_limit_.load(std::memory_order_relaxed));
|
|
}
|
|
|
|
template <class Table>
|
|
typename Table::HandleImpl* ClockCacheShard<Table>::CreateStandalone(
|
|
const Slice& key, const UniqueId64x2& hashed_key, Cache::ObjectPtr obj,
|
|
const Cache::CacheItemHelper* helper, size_t charge, bool allow_uncharged) {
|
|
if (UNLIKELY(key.size() != kCacheKeySize)) {
|
|
return nullptr;
|
|
}
|
|
ClockHandleBasicData proto;
|
|
proto.hashed_key = hashed_key;
|
|
proto.value = obj;
|
|
proto.helper = helper;
|
|
proto.total_charge = charge;
|
|
return table_.template CreateStandalone<Table>(
|
|
proto, capacity_.load(std::memory_order_relaxed),
|
|
strict_capacity_limit_.load(std::memory_order_relaxed), allow_uncharged);
|
|
}
|
|
|
|
template <class Table>
|
|
typename ClockCacheShard<Table>::HandleImpl* ClockCacheShard<Table>::Lookup(
|
|
const Slice& key, const UniqueId64x2& hashed_key) {
|
|
if (UNLIKELY(key.size() != kCacheKeySize)) {
|
|
return nullptr;
|
|
}
|
|
return table_.Lookup(hashed_key);
|
|
}
|
|
|
|
template <class Table>
|
|
bool ClockCacheShard<Table>::Ref(HandleImpl* h) {
|
|
if (h == nullptr) {
|
|
return false;
|
|
}
|
|
table_.Ref(*h);
|
|
return true;
|
|
}
|
|
|
|
template <class Table>
|
|
bool ClockCacheShard<Table>::Release(HandleImpl* handle, bool useful,
|
|
bool erase_if_last_ref) {
|
|
if (handle == nullptr) {
|
|
return false;
|
|
}
|
|
return table_.Release(handle, useful, erase_if_last_ref);
|
|
}
|
|
|
|
#ifndef NDEBUG
|
|
template <class Table>
|
|
void ClockCacheShard<Table>::TEST_RefN(HandleImpl* h, size_t n) {
|
|
table_.TEST_RefN(*h, n);
|
|
}
|
|
|
|
template <class Table>
|
|
void ClockCacheShard<Table>::TEST_ReleaseN(HandleImpl* h, size_t n) {
|
|
table_.TEST_ReleaseN(h, n);
|
|
}
|
|
#endif
|
|
|
|
template <class Table>
|
|
bool ClockCacheShard<Table>::Release(HandleImpl* handle,
|
|
bool erase_if_last_ref) {
|
|
return Release(handle, /*useful=*/true, erase_if_last_ref);
|
|
}
|
|
|
|
template <class Table>
|
|
void ClockCacheShard<Table>::Erase(const Slice& key,
|
|
const UniqueId64x2& hashed_key) {
|
|
if (UNLIKELY(key.size() != kCacheKeySize)) {
|
|
return;
|
|
}
|
|
table_.Erase(hashed_key);
|
|
}
|
|
|
|
template <class Table>
|
|
size_t ClockCacheShard<Table>::GetUsage() const {
|
|
return table_.GetUsage();
|
|
}
|
|
|
|
template <class Table>
|
|
size_t ClockCacheShard<Table>::GetStandaloneUsage() const {
|
|
return table_.GetStandaloneUsage();
|
|
}
|
|
|
|
template <class Table>
|
|
size_t ClockCacheShard<Table>::GetCapacity() const {
|
|
return capacity_;
|
|
}
|
|
|
|
template <class Table>
|
|
size_t ClockCacheShard<Table>::GetPinnedUsage() const {
|
|
// Computes the pinned usage by scanning the whole hash table. This
|
|
// is slow, but avoids keeping an exact counter on the clock usage,
|
|
// i.e., the number of not externally referenced elements.
|
|
// Why avoid this counter? Because Lookup removes elements from the clock
|
|
// list, so it would need to update the pinned usage every time,
|
|
// which creates additional synchronization costs.
|
|
size_t table_pinned_usage = 0;
|
|
const bool charge_metadata =
|
|
metadata_charge_policy_ == kFullChargeCacheMetadata;
|
|
ConstApplyToEntriesRange(
|
|
[&table_pinned_usage, charge_metadata](const HandleImpl& h) {
|
|
uint64_t meta = h.meta.load(std::memory_order_relaxed);
|
|
uint64_t refcount = GetRefcount(meta);
|
|
// Holding one ref for ConstApplyToEntriesRange
|
|
assert(refcount > 0);
|
|
if (refcount > 1) {
|
|
table_pinned_usage += h.GetTotalCharge();
|
|
if (charge_metadata) {
|
|
table_pinned_usage += sizeof(HandleImpl);
|
|
}
|
|
}
|
|
},
|
|
table_.HandlePtr(0), table_.HandlePtr(table_.GetTableSize()), true);
|
|
|
|
return table_pinned_usage + table_.GetStandaloneUsage();
|
|
}
|
|
|
|
template <class Table>
|
|
size_t ClockCacheShard<Table>::GetOccupancyCount() const {
|
|
return table_.GetOccupancy();
|
|
}
|
|
|
|
template <class Table>
|
|
size_t ClockCacheShard<Table>::GetOccupancyLimit() const {
|
|
return table_.GetOccupancyLimit();
|
|
}
|
|
|
|
template <class Table>
|
|
size_t ClockCacheShard<Table>::GetTableAddressCount() const {
|
|
return table_.GetTableSize();
|
|
}
|
|
|
|
// Explicit instantiation
|
|
template class ClockCacheShard<HyperClockTable>;
|
|
|
|
HyperClockCache::HyperClockCache(const HyperClockCacheOptions& opts)
|
|
: ShardedCache(opts) {
|
|
assert(opts.estimated_entry_charge > 0 ||
|
|
opts.metadata_charge_policy != kDontChargeCacheMetadata);
|
|
// TODO: should not need to go through two levels of pointer indirection to
|
|
// get to table entries
|
|
size_t per_shard = GetPerShardCapacity();
|
|
MemoryAllocator* alloc = this->memory_allocator();
|
|
InitShards([&](Shard* cs) {
|
|
HyperClockTable::Opts table_opts;
|
|
table_opts.estimated_value_size = opts.estimated_entry_charge;
|
|
new (cs) Shard(per_shard, opts.strict_capacity_limit,
|
|
opts.metadata_charge_policy, alloc, &eviction_callback_,
|
|
&hash_seed_, table_opts);
|
|
});
|
|
}
|
|
|
|
Cache::ObjectPtr HyperClockCache::Value(Handle* handle) {
|
|
return reinterpret_cast<const HandleImpl*>(handle)->value;
|
|
}
|
|
|
|
size_t HyperClockCache::GetCharge(Handle* handle) const {
|
|
return reinterpret_cast<const HandleImpl*>(handle)->GetTotalCharge();
|
|
}
|
|
|
|
const Cache::CacheItemHelper* HyperClockCache::GetCacheItemHelper(
|
|
Handle* handle) const {
|
|
auto h = reinterpret_cast<const HandleImpl*>(handle);
|
|
return h->helper;
|
|
}
|
|
|
|
namespace {
|
|
|
|
// For each cache shard, estimate what the table load factor would be if
|
|
// cache filled to capacity with average entries. This is considered
|
|
// indicative of a potential problem if the shard is essentially operating
|
|
// "at limit", which we define as high actual usage (>80% of capacity)
|
|
// or actual occupancy very close to limit (>95% of limit).
|
|
// Also, for each shard compute the recommended estimated_entry_charge,
|
|
// and keep the minimum one for use as overall recommendation.
|
|
void AddShardEvaluation(const HyperClockCache::Shard& shard,
|
|
std::vector<double>& predicted_load_factors,
|
|
size_t& min_recommendation) {
|
|
size_t usage = shard.GetUsage() - shard.GetStandaloneUsage();
|
|
size_t capacity = shard.GetCapacity();
|
|
double usage_ratio = 1.0 * usage / capacity;
|
|
|
|
size_t occupancy = shard.GetOccupancyCount();
|
|
size_t occ_limit = shard.GetOccupancyLimit();
|
|
double occ_ratio = 1.0 * occupancy / occ_limit;
|
|
if (usage == 0 || occupancy == 0 || (usage_ratio < 0.8 && occ_ratio < 0.95)) {
|
|
// Skip as described above
|
|
return;
|
|
}
|
|
|
|
// If filled to capacity, what would the occupancy ratio be?
|
|
double ratio = occ_ratio / usage_ratio;
|
|
// Given max load factor, what that load factor be?
|
|
double lf = ratio * kStrictLoadFactor;
|
|
predicted_load_factors.push_back(lf);
|
|
|
|
// Update min_recommendation also
|
|
size_t recommendation = usage / occupancy;
|
|
min_recommendation = std::min(min_recommendation, recommendation);
|
|
}
|
|
|
|
} // namespace
|
|
|
|
void HyperClockCache::ReportProblems(
|
|
const std::shared_ptr<Logger>& info_log) const {
|
|
uint32_t shard_count = GetNumShards();
|
|
std::vector<double> predicted_load_factors;
|
|
size_t min_recommendation = SIZE_MAX;
|
|
const_cast<HyperClockCache*>(this)->ForEachShard(
|
|
[&](HyperClockCache::Shard* shard) {
|
|
AddShardEvaluation(*shard, predicted_load_factors, min_recommendation);
|
|
});
|
|
|
|
if (predicted_load_factors.empty()) {
|
|
// None operating "at limit" -> nothing to report
|
|
return;
|
|
}
|
|
std::sort(predicted_load_factors.begin(), predicted_load_factors.end());
|
|
|
|
// First, if the average load factor is within spec, we aren't going to
|
|
// complain about a few shards being out of spec.
|
|
// NOTE: this is only the average among cache shards operating "at limit,"
|
|
// which should be representative of what we care about. It it normal, even
|
|
// desirable, for a cache to operate "at limit" so this should not create
|
|
// selection bias. See AddShardEvaluation().
|
|
// TODO: Consider detecting cases where decreasing the number of shards
|
|
// would be good, e.g. serious imbalance among shards.
|
|
double average_load_factor =
|
|
std::accumulate(predicted_load_factors.begin(),
|
|
predicted_load_factors.end(), 0.0) /
|
|
shard_count;
|
|
|
|
constexpr double kLowSpecLoadFactor = kLoadFactor / 2;
|
|
constexpr double kMidSpecLoadFactor = kLoadFactor / 1.414;
|
|
if (average_load_factor > kLoadFactor) {
|
|
// Out of spec => Consider reporting load factor too high
|
|
// Estimate effective overall capacity loss due to enforcing occupancy limit
|
|
double lost_portion = 0.0;
|
|
int over_count = 0;
|
|
for (double lf : predicted_load_factors) {
|
|
if (lf > kStrictLoadFactor) {
|
|
++over_count;
|
|
lost_portion += (lf - kStrictLoadFactor) / lf / shard_count;
|
|
}
|
|
}
|
|
// >= 20% loss -> error
|
|
// >= 10% loss -> consistent warning
|
|
// >= 1% loss -> intermittent warning
|
|
InfoLogLevel level = InfoLogLevel::INFO_LEVEL;
|
|
bool report = true;
|
|
if (lost_portion > 0.2) {
|
|
level = InfoLogLevel::ERROR_LEVEL;
|
|
} else if (lost_portion > 0.1) {
|
|
level = InfoLogLevel::WARN_LEVEL;
|
|
} else if (lost_portion > 0.01) {
|
|
int report_percent = static_cast<int>(lost_portion * 100.0);
|
|
if (Random::GetTLSInstance()->PercentTrue(report_percent)) {
|
|
level = InfoLogLevel::WARN_LEVEL;
|
|
}
|
|
} else {
|
|
// don't report
|
|
report = false;
|
|
}
|
|
if (report) {
|
|
ROCKS_LOG_AT_LEVEL(
|
|
info_log, level,
|
|
"HyperClockCache@%p unable to use estimated %.1f%% capacity because "
|
|
"of "
|
|
"full occupancy in %d/%u cache shards (estimated_entry_charge too "
|
|
"high). Recommend estimated_entry_charge=%zu",
|
|
this, lost_portion * 100.0, over_count, (unsigned)shard_count,
|
|
min_recommendation);
|
|
}
|
|
} else if (average_load_factor < kLowSpecLoadFactor) {
|
|
// Out of spec => Consider reporting load factor too low
|
|
// But cautiously because low is not as big of a problem.
|
|
|
|
// Only report if highest occupancy shard is also below
|
|
// spec and only if average is substantially out of spec
|
|
if (predicted_load_factors.back() < kLowSpecLoadFactor &&
|
|
average_load_factor < kLowSpecLoadFactor / 1.414) {
|
|
InfoLogLevel level = InfoLogLevel::INFO_LEVEL;
|
|
if (average_load_factor < kLowSpecLoadFactor / 2) {
|
|
level = InfoLogLevel::WARN_LEVEL;
|
|
}
|
|
ROCKS_LOG_AT_LEVEL(
|
|
info_log, level,
|
|
"HyperClockCache@%p table has low occupancy at full capacity. Higher "
|
|
"estimated_entry_charge (about %.1fx) would likely improve "
|
|
"performance. Recommend estimated_entry_charge=%zu",
|
|
this, kMidSpecLoadFactor / average_load_factor, min_recommendation);
|
|
}
|
|
}
|
|
}
|
|
|
|
} // namespace clock_cache
|
|
|
|
// DEPRECATED (see public API)
|
|
std::shared_ptr<Cache> NewClockCache(
|
|
size_t capacity, int num_shard_bits, bool strict_capacity_limit,
|
|
CacheMetadataChargePolicy metadata_charge_policy) {
|
|
return NewLRUCache(capacity, num_shard_bits, strict_capacity_limit,
|
|
/* high_pri_pool_ratio */ 0.5, nullptr,
|
|
kDefaultToAdaptiveMutex, metadata_charge_policy,
|
|
/* low_pri_pool_ratio */ 0.0);
|
|
}
|
|
|
|
std::shared_ptr<Cache> HyperClockCacheOptions::MakeSharedCache() const {
|
|
// For sanitized options
|
|
HyperClockCacheOptions opts = *this;
|
|
if (opts.num_shard_bits >= 20) {
|
|
return nullptr; // The cache cannot be sharded into too many fine pieces.
|
|
}
|
|
if (opts.num_shard_bits < 0) {
|
|
// Use larger shard size to reduce risk of large entries clustering
|
|
// or skewing individual shards.
|
|
constexpr size_t min_shard_size = 32U * 1024U * 1024U;
|
|
opts.num_shard_bits =
|
|
GetDefaultCacheShardBits(opts.capacity, min_shard_size);
|
|
}
|
|
std::shared_ptr<Cache> cache =
|
|
std::make_shared<clock_cache::HyperClockCache>(opts);
|
|
if (opts.secondary_cache) {
|
|
cache = std::make_shared<CacheWithSecondaryAdapter>(cache,
|
|
opts.secondary_cache);
|
|
}
|
|
return cache;
|
|
}
|
|
|
|
} // namespace ROCKSDB_NAMESPACE
|