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0b6bc101ba
Summary: To help service owners to manage their memory budget effectively, we have been working towards counting all major memory users inside RocksDB towards a single global memory limit (see e.g. https://github.com/facebook/rocksdb/wiki/Write-Buffer-Manager#cost-memory-used-in-memtable-to-block-cache). The global limit is specified by the capacity of the block-based table's block cache, and is technically implemented by inserting dummy entries ("reservations") into the block cache. The goal of this task is to support charging the memory usage of the new blob cache against this global memory limit when the backing cache of the blob cache and the block cache are different. This PR is a part of https://github.com/facebook/rocksdb/issues/10156 Pull Request resolved: https://github.com/facebook/rocksdb/pull/10321 Reviewed By: ltamasi Differential Revision: D37913590 Pulled By: gangliao fbshipit-source-id: eaacf23907f82dc7d18964a3f24d7039a2937a72
186 lines
6.7 KiB
C++
186 lines
6.7 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/cache_reservation_manager.h"
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#include <cassert>
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#include <cstddef>
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#include <cstring>
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#include <memory>
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#include "cache/cache_entry_roles.h"
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#include "rocksdb/cache.h"
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#include "rocksdb/slice.h"
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#include "rocksdb/status.h"
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#include "table/block_based/reader_common.h"
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#include "util/coding.h"
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namespace ROCKSDB_NAMESPACE {
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template <CacheEntryRole R>
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CacheReservationManagerImpl<R>::CacheReservationHandle::CacheReservationHandle(
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std::size_t incremental_memory_used,
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std::shared_ptr<CacheReservationManagerImpl> cache_res_mgr)
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: incremental_memory_used_(incremental_memory_used) {
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assert(cache_res_mgr);
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cache_res_mgr_ = cache_res_mgr;
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}
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template <CacheEntryRole R>
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CacheReservationManagerImpl<
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R>::CacheReservationHandle::~CacheReservationHandle() {
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Status s = cache_res_mgr_->ReleaseCacheReservation(incremental_memory_used_);
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s.PermitUncheckedError();
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}
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template <CacheEntryRole R>
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CacheReservationManagerImpl<R>::CacheReservationManagerImpl(
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std::shared_ptr<Cache> cache, bool delayed_decrease)
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: delayed_decrease_(delayed_decrease),
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cache_allocated_size_(0),
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memory_used_(0) {
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assert(cache != nullptr);
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cache_ = cache;
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}
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template <CacheEntryRole R>
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CacheReservationManagerImpl<R>::~CacheReservationManagerImpl() {
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for (auto* handle : dummy_handles_) {
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cache_->Release(handle, true);
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}
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}
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template <CacheEntryRole R>
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Status CacheReservationManagerImpl<R>::UpdateCacheReservation(
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std::size_t new_mem_used) {
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memory_used_ = new_mem_used;
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std::size_t cur_cache_allocated_size =
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cache_allocated_size_.load(std::memory_order_relaxed);
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if (new_mem_used == cur_cache_allocated_size) {
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return Status::OK();
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} else if (new_mem_used > cur_cache_allocated_size) {
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Status s = IncreaseCacheReservation(new_mem_used);
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return s;
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} else {
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// In delayed decrease mode, we don't decrease cache reservation
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// untill the memory usage is less than 3/4 of what we reserve
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// in the cache.
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// We do this because
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// (1) Dummy entry insertion is expensive in block cache
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// (2) Delayed releasing previously inserted dummy entries can save such
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// expensive dummy entry insertion on memory increase in the near future,
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// which is likely to happen when the memory usage is greater than or equal
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// to 3/4 of what we reserve
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if (delayed_decrease_ && new_mem_used >= cur_cache_allocated_size / 4 * 3) {
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return Status::OK();
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} else {
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Status s = DecreaseCacheReservation(new_mem_used);
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return s;
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}
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}
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}
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template <CacheEntryRole R>
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Status CacheReservationManagerImpl<R>::MakeCacheReservation(
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std::size_t incremental_memory_used,
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std::unique_ptr<CacheReservationManager::CacheReservationHandle>* handle) {
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assert(handle);
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Status s =
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UpdateCacheReservation(GetTotalMemoryUsed() + incremental_memory_used);
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(*handle).reset(new CacheReservationManagerImpl::CacheReservationHandle(
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incremental_memory_used,
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std::enable_shared_from_this<
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CacheReservationManagerImpl<R>>::shared_from_this()));
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return s;
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}
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template <CacheEntryRole R>
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Status CacheReservationManagerImpl<R>::ReleaseCacheReservation(
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std::size_t incremental_memory_used) {
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assert(GetTotalMemoryUsed() >= incremental_memory_used);
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std::size_t updated_total_mem_used =
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GetTotalMemoryUsed() - incremental_memory_used;
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Status s = UpdateCacheReservation(updated_total_mem_used);
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return s;
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}
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template <CacheEntryRole R>
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Status CacheReservationManagerImpl<R>::IncreaseCacheReservation(
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std::size_t new_mem_used) {
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Status return_status = Status::OK();
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while (new_mem_used > cache_allocated_size_.load(std::memory_order_relaxed)) {
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Cache::Handle* handle = nullptr;
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return_status = cache_->Insert(GetNextCacheKey(), nullptr, kSizeDummyEntry,
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GetNoopDeleterForRole<R>(), &handle);
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if (return_status != Status::OK()) {
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return return_status;
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}
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dummy_handles_.push_back(handle);
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cache_allocated_size_ += kSizeDummyEntry;
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}
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return return_status;
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}
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template <CacheEntryRole R>
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Status CacheReservationManagerImpl<R>::DecreaseCacheReservation(
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std::size_t new_mem_used) {
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Status return_status = Status::OK();
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// Decrease to the smallest multiple of kSizeDummyEntry that is greater than
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// or equal to new_mem_used We do addition instead of new_mem_used <=
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// cache_allocated_size_.load(std::memory_order_relaxed) - kSizeDummyEntry to
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// avoid underflow of size_t when cache_allocated_size_ = 0
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while (new_mem_used + kSizeDummyEntry <=
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cache_allocated_size_.load(std::memory_order_relaxed)) {
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assert(!dummy_handles_.empty());
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auto* handle = dummy_handles_.back();
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cache_->Release(handle, true);
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dummy_handles_.pop_back();
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cache_allocated_size_ -= kSizeDummyEntry;
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}
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return return_status;
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}
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template <CacheEntryRole R>
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std::size_t CacheReservationManagerImpl<R>::GetTotalReservedCacheSize() {
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return cache_allocated_size_.load(std::memory_order_relaxed);
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}
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template <CacheEntryRole R>
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std::size_t CacheReservationManagerImpl<R>::GetTotalMemoryUsed() {
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return memory_used_;
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}
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template <CacheEntryRole R>
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Slice CacheReservationManagerImpl<R>::GetNextCacheKey() {
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// Calling this function will have the side-effect of changing the
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// underlying cache_key_ that is shared among other keys generated from this
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// fucntion. Therefore please make sure the previous keys are saved/copied
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// before calling this function.
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cache_key_ = CacheKey::CreateUniqueForCacheLifetime(cache_.get());
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return cache_key_.AsSlice();
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}
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template <CacheEntryRole R>
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Cache::DeleterFn CacheReservationManagerImpl<R>::TEST_GetNoopDeleterForRole() {
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return GetNoopDeleterForRole<R>();
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}
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template class CacheReservationManagerImpl<
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CacheEntryRole::kBlockBasedTableReader>;
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template class CacheReservationManagerImpl<
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CacheEntryRole::kCompressionDictionaryBuildingBuffer>;
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template class CacheReservationManagerImpl<CacheEntryRole::kFilterConstruction>;
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template class CacheReservationManagerImpl<CacheEntryRole::kMisc>;
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template class CacheReservationManagerImpl<CacheEntryRole::kWriteBuffer>;
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template class CacheReservationManagerImpl<CacheEntryRole::kFileMetadata>;
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template class CacheReservationManagerImpl<CacheEntryRole::kBlobCache>;
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} // namespace ROCKSDB_NAMESPACE
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