rocksdb/cache/cache_reservation_manager.cc
Hui Xiao 49623f9c8e Account memory of big memory users in BlockBasedTable in global memory limit (#9748)
Summary:
**Context:**
Through heap profiling, we discovered that `BlockBasedTableReader` objects can accumulate and lead to high memory usage (e.g, `max_open_file = -1`). These memories are currently not saved, not tracked, not constrained and not cache evict-able. As a first step to improve this, similar to https://github.com/facebook/rocksdb/pull/8428,  this PR is to track an estimate of `BlockBasedTableReader` object's memory in block cache and fail future creation if the memory usage exceeds the available space of cache at the time of creation.

**Summary:**
- Approximate big memory users  (`BlockBasedTable::Rep` and `TableProperties` )' memory usage in addition to the existing estimated ones (filter block/index block/un-compression dictionary)
- Charge all of these memory usages to block cache on `BlockBasedTable::Open()` and release them on `~BlockBasedTable()` as there is no memory usage fluctuation of concern in between
- Refactor on CacheReservationManager (and its call-sites) to add concurrent support for BlockBasedTable  used in this PR.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/9748

Test Plan:
- New unit tests
- db bench: `OpenDb` : **-0.52% in ms**
  - Setup `./db_bench -benchmarks=fillseq -db=/dev/shm/testdb -disable_auto_compactions=1 -write_buffer_size=1048576`
  - Repeated run with pre-change w/o feature and post-change with feature, benchmark `OpenDb`:  `./db_bench -benchmarks=readrandom -use_existing_db=1 -db=/dev/shm/testdb -reserve_table_reader_memory=true (remove this when running w/o feature) -file_opening_threads=3 -open_files=-1 -report_open_timing=true| egrep 'OpenDb:'`

#-run | (feature-off) avg milliseconds | std milliseconds | (feature-on) avg milliseconds | std milliseconds | change (%)
-- | -- | -- | -- | -- | --
10 | 11.4018 | 5.95173 | 9.47788 | 1.57538 | -16.87382694
20 | 9.23746 | 0.841053 | 9.32377 | 1.14074 | 0.9343477536
40 | 9.0876 | 0.671129 | 9.35053 | 1.11713 | 2.893283155
80 | 9.72514 | 2.28459 | 9.52013 | 1.0894 | -2.108041632
160 | 9.74677 | 0.991234 | 9.84743 | 1.73396 | 1.032752389
320 | 10.7297 | 5.11555 | 10.547 | 1.97692 | **-1.70275031**
640 | 11.7092 | 2.36565 | 11.7869 | 2.69377 | **0.6635807741**

-  db bench on write with cost to cache in WriteBufferManager (just in case this PR's CRM refactoring accidentally slows down anything in WBM) : `fillseq` : **+0.54% in micros/op**
`./db_bench -benchmarks=fillseq -db=/dev/shm/testdb -disable_auto_compactions=1 -cost_write_buffer_to_cache=true -write_buffer_size=10000000000 | egrep 'fillseq'`

#-run | (pre-PR) avg micros/op | std micros/op | (post-PR)  avg micros/op | std micros/op | change (%)
-- | -- | -- | -- | -- | --
10 | 6.15 | 0.260187 | 6.289 | 0.371192 | 2.260162602
20 | 7.28025 | 0.465402 | 7.37255 | 0.451256 | 1.267813605
40 | 7.06312 | 0.490654 | 7.13803 | 0.478676 | **1.060579461**
80 | 7.14035 | 0.972831 | 7.14196 | 0.92971 | **0.02254791432**

-  filter bench: `bloom filter`: **-0.78% in ms/key**
    - ` ./filter_bench -impl=2 -quick -reserve_table_builder_memory=true | grep 'Build avg'`

#-run | (pre-PR) avg ns/key | std ns/key | (post-PR)  ns/key | std ns/key | change (%)
-- | -- | -- | -- | -- | --
10 | 26.4369 | 0.442182 | 26.3273 | 0.422919 | **-0.4145720565**
20 | 26.4451 | 0.592787 | 26.1419 | 0.62451 | **-1.1465262**

- Crash test `python3 tools/db_crashtest.py blackbox --reserve_table_reader_memory=1 --cache_size=1` killed as normal

Reviewed By: ajkr

Differential Revision: D35136549

Pulled By: hx235

fbshipit-source-id: 146978858d0f900f43f4eb09bfd3e83195e3be28
2022-04-06 10:33:00 -07:00

184 lines
6.5 KiB
C++

// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
// This source code is licensed under both the GPLv2 (found in the
// COPYING file in the root directory) and Apache 2.0 License
// (found in the LICENSE.Apache file in the root directory).
//
// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file. See the AUTHORS file for names of contributors.
#include "cache/cache_reservation_manager.h"
#include <cassert>
#include <cstddef>
#include <cstring>
#include <memory>
#include "cache/cache_entry_roles.h"
#include "rocksdb/cache.h"
#include "rocksdb/slice.h"
#include "rocksdb/status.h"
#include "table/block_based/reader_common.h"
#include "util/coding.h"
namespace ROCKSDB_NAMESPACE {
template <CacheEntryRole R>
CacheReservationManagerImpl<R>::CacheReservationHandle::CacheReservationHandle(
std::size_t incremental_memory_used,
std::shared_ptr<CacheReservationManagerImpl> cache_res_mgr)
: incremental_memory_used_(incremental_memory_used) {
assert(cache_res_mgr);
cache_res_mgr_ = cache_res_mgr;
}
template <CacheEntryRole R>
CacheReservationManagerImpl<
R>::CacheReservationHandle::~CacheReservationHandle() {
Status s = cache_res_mgr_->ReleaseCacheReservation(incremental_memory_used_);
s.PermitUncheckedError();
}
template <CacheEntryRole R>
CacheReservationManagerImpl<R>::CacheReservationManagerImpl(
std::shared_ptr<Cache> cache, bool delayed_decrease)
: delayed_decrease_(delayed_decrease),
cache_allocated_size_(0),
memory_used_(0) {
assert(cache != nullptr);
cache_ = cache;
}
template <CacheEntryRole R>
CacheReservationManagerImpl<R>::~CacheReservationManagerImpl() {
for (auto* handle : dummy_handles_) {
cache_->Release(handle, true);
}
}
template <CacheEntryRole R>
Status CacheReservationManagerImpl<R>::UpdateCacheReservation(
std::size_t new_mem_used) {
memory_used_ = new_mem_used;
std::size_t cur_cache_allocated_size =
cache_allocated_size_.load(std::memory_order_relaxed);
if (new_mem_used == cur_cache_allocated_size) {
return Status::OK();
} else if (new_mem_used > cur_cache_allocated_size) {
Status s = IncreaseCacheReservation(new_mem_used);
return s;
} else {
// In delayed decrease mode, we don't decrease cache reservation
// untill the memory usage is less than 3/4 of what we reserve
// in the cache.
// We do this because
// (1) Dummy entry insertion is expensive in block cache
// (2) Delayed releasing previously inserted dummy entries can save such
// expensive dummy entry insertion on memory increase in the near future,
// which is likely to happen when the memory usage is greater than or equal
// to 3/4 of what we reserve
if (delayed_decrease_ && new_mem_used >= cur_cache_allocated_size / 4 * 3) {
return Status::OK();
} else {
Status s = DecreaseCacheReservation(new_mem_used);
return s;
}
}
}
template <CacheEntryRole R>
Status CacheReservationManagerImpl<R>::MakeCacheReservation(
std::size_t incremental_memory_used,
std::unique_ptr<CacheReservationManager::CacheReservationHandle>* handle) {
assert(handle);
Status s =
UpdateCacheReservation(GetTotalMemoryUsed() + incremental_memory_used);
(*handle).reset(new CacheReservationManagerImpl::CacheReservationHandle(
incremental_memory_used,
std::enable_shared_from_this<
CacheReservationManagerImpl<R>>::shared_from_this()));
return s;
}
template <CacheEntryRole R>
Status CacheReservationManagerImpl<R>::ReleaseCacheReservation(
std::size_t incremental_memory_used) {
assert(GetTotalMemoryUsed() >= incremental_memory_used);
std::size_t updated_total_mem_used =
GetTotalMemoryUsed() - incremental_memory_used;
Status s = UpdateCacheReservation(updated_total_mem_used);
return s;
}
template <CacheEntryRole R>
Status CacheReservationManagerImpl<R>::IncreaseCacheReservation(
std::size_t new_mem_used) {
Status return_status = Status::OK();
while (new_mem_used > cache_allocated_size_.load(std::memory_order_relaxed)) {
Cache::Handle* handle = nullptr;
return_status = cache_->Insert(GetNextCacheKey(), nullptr, kSizeDummyEntry,
GetNoopDeleterForRole<R>(), &handle);
if (return_status != Status::OK()) {
return return_status;
}
dummy_handles_.push_back(handle);
cache_allocated_size_ += kSizeDummyEntry;
}
return return_status;
}
template <CacheEntryRole R>
Status CacheReservationManagerImpl<R>::DecreaseCacheReservation(
std::size_t new_mem_used) {
Status return_status = Status::OK();
// Decrease to the smallest multiple of kSizeDummyEntry that is greater than
// or equal to new_mem_used We do addition instead of new_mem_used <=
// cache_allocated_size_.load(std::memory_order_relaxed) - kSizeDummyEntry to
// avoid underflow of size_t when cache_allocated_size_ = 0
while (new_mem_used + kSizeDummyEntry <=
cache_allocated_size_.load(std::memory_order_relaxed)) {
assert(!dummy_handles_.empty());
auto* handle = dummy_handles_.back();
cache_->Release(handle, true);
dummy_handles_.pop_back();
cache_allocated_size_ -= kSizeDummyEntry;
}
return return_status;
}
template <CacheEntryRole R>
std::size_t CacheReservationManagerImpl<R>::GetTotalReservedCacheSize() {
return cache_allocated_size_.load(std::memory_order_relaxed);
}
template <CacheEntryRole R>
std::size_t CacheReservationManagerImpl<R>::GetTotalMemoryUsed() {
return memory_used_;
}
template <CacheEntryRole R>
Slice CacheReservationManagerImpl<R>::GetNextCacheKey() {
// Calling this function will have the side-effect of changing the
// underlying cache_key_ that is shared among other keys generated from this
// fucntion. Therefore please make sure the previous keys are saved/copied
// before calling this function.
cache_key_ = CacheKey::CreateUniqueForCacheLifetime(cache_.get());
return cache_key_.AsSlice();
}
template <CacheEntryRole R>
Cache::DeleterFn CacheReservationManagerImpl<R>::TEST_GetNoopDeleterForRole() {
return GetNoopDeleterForRole<R>();
}
template class CacheReservationManagerImpl<
CacheEntryRole::kBlockBasedTableReader>;
template class CacheReservationManagerImpl<
CacheEntryRole::kCompressionDictionaryBuildingBuffer>;
template class CacheReservationManagerImpl<CacheEntryRole::kFilterConstruction>;
template class CacheReservationManagerImpl<CacheEntryRole::kMisc>;
template class CacheReservationManagerImpl<CacheEntryRole::kWriteBuffer>;
} // namespace ROCKSDB_NAMESPACE