rocksdb/db/blob/blob_source.cc
Peter Dillinger 9f7801c5f1 Major Cache refactoring, CPU efficiency improvement (#10975)
Summary:
This is several refactorings bundled into one to avoid having to incrementally re-modify uses of Cache several times. Overall, there are breaking changes to Cache class, and it becomes more of low-level interface for implementing caches, especially block cache. New internal APIs make using Cache cleaner than before, and more insulated from block cache evolution. Hopefully, this is the last really big block cache refactoring, because of rather effectively decoupling the implementations from the uses. This change also removes the EXPERIMENTAL designation on the SecondaryCache support in Cache. It seems reasonably mature at this point but still subject to change/evolution (as I warn in the API docs for Cache).

The high-level motivation for this refactoring is to minimize code duplication / compounding complexity in adding SecondaryCache support to HyperClockCache (in a later PR). Other benefits listed below.

* static_cast lines of code +29 -35 (net removed 6)
* reinterpret_cast lines of code +6 -32 (net removed 26)

## cache.h and secondary_cache.h
* Always use CacheItemHelper with entries instead of just a Deleter. There are several motivations / justifications:
  * Simpler for implementations to deal with just one Insert and one Lookup.
  * Simpler and more efficient implementation because we don't have to track which entries are using helpers and which are using deleters
  * Gets rid of hack to classify cache entries by their deleter. Instead, the CacheItemHelper includes a CacheEntryRole. This simplifies a lot of code (cache_entry_roles.h almost eliminated). Fixes https://github.com/facebook/rocksdb/issues/9428.
  * Makes it trivial to adjust SecondaryCache behavior based on kind of block (e.g. don't re-compress filter blocks).
  * It is arguably less convenient for many direct users of Cache, but direct users of Cache are now rare with introduction of typed_cache.h (below).
  * I considered and rejected an alternative approach in which we reduce customizability by assuming each secondary cache compatible value starts with a Slice referencing the uncompressed block contents (already true or mostly true), but we apparently intend to stack secondary caches. Saving an entry from a compressed secondary to a lower tier requires custom handling offered by SaveToCallback, etc.
* Make CreateCallback part of the helper and introduce CreateContext to work with it (alternative to https://github.com/facebook/rocksdb/issues/10562). This cleans up the interface while still allowing context to be provided for loading/parsing values into primary cache. This model works for async lookup in BlockBasedTable reader (reader owns a CreateContext) under the assumption that it always waits on secondary cache operations to finish. (Otherwise, the CreateContext could be destroyed while async operation depending on it continues.) This likely contributes most to the observed performance improvement because it saves an std::function backed by a heap allocation.
* Use char* for serialized data, e.g. in SaveToCallback, where void* was confusingly used. (We use `char*` for serialized byte data all over RocksDB, with many advantages over `void*`. `memcpy` etc. are legacy APIs that should not be mimicked.)
* Add a type alias Cache::ObjectPtr = void*, so that we can better indicate the intent of the void* when it is to be the object associated with a Cache entry. Related: started (but did not complete) a refactoring to move away from "value" of a cache entry toward "object" or "obj". (It is confusing to call Cache a key-value store (like DB) when it is really storing arbitrary in-memory objects, not byte strings.)
* Remove unnecessary key param from DeleterFn. This is good for efficiency in HyperClockCache, which does not directly store the cache key in memory. (Alternative to https://github.com/facebook/rocksdb/issues/10774)
* Add allocator to Cache DeleterFn. This is a kind of future-proofing change in case we get more serious about using the Cache allocator for memory tracked by the Cache. Right now, only the uncompressed block contents are allocated using the allocator, and a pointer to that allocator is saved as part of the cached object so that the deleter can use it. (See CacheAllocationPtr.) If in the future we are able to "flatten out" our Cache objects some more, it would be good not to have to track the allocator as part of each object.
* Removes legacy `ApplyToAllCacheEntries` and changes `ApplyToAllEntries` signature for Deleter->CacheItemHelper change.

## typed_cache.h
Adds various "typed" interfaces to the Cache as internal APIs, so that most uses of Cache can use simple type safe code without casting and without explicit deleters, etc. Almost all of the non-test, non-glue code uses of Cache have been migrated. (Follow-up work: CompressedSecondaryCache deserves deeper attention to migrate.) This change expands RocksDB's internal usage of metaprogramming and SFINAE (https://en.cppreference.com/w/cpp/language/sfinae).

The existing usages of Cache are divided up at a high level into these new interfaces. See updated existing uses of Cache for examples of how these are used.
* PlaceholderCacheInterface - Used for making cache reservations, with entries that have a charge but no value.
* BasicTypedCacheInterface<TValue> - Used for primary cache storage of objects of type TValue, which can be cleaned up with std::default_delete<TValue>. The role is provided by TValue::kCacheEntryRole or given in an optional template parameter.
* FullTypedCacheInterface<TValue, TCreateContext> - Used for secondary cache compatible storage of objects of type TValue. In addition to BasicTypedCacheInterface constraints, we require TValue::ContentSlice() to return persistable data. This simplifies usage for the normal case of simple secondary cache compatibility (can give you a Slice to the data already in memory). In addition to TCreateContext performing the role of Cache::CreateContext, it is also expected to provide a factory function for creating TValue.
* For each of these, there's a "Shared" version (e.g. FullTypedSharedCacheInterface) that holds a shared_ptr to the Cache, rather than assuming external ownership by holding only a raw `Cache*`.

These interfaces introduce specific handle types for each interface instantiation, so that it's easy to see what kind of object is controlled by a handle. (Ultimately, this might not be worth the extra complexity, but it seems OK so far.)

Note: I attempted to make the cache 'charge' automatically inferred from the cache object type, such as by expecting an ApproximateMemoryUsage() function, but this is not so clean because there are cases where we need to compute the charge ahead of time and don't want to re-compute it.

## block_cache.h
This header is essentially the replacement for the old block_like_traits.h. It includes various things to support block cache access with typed_cache.h for block-based table.

## block_based_table_reader.cc
Before this change, accessing the block cache here was an awkward mix of static polymorphism (template TBlocklike) and switch-case on a dynamic BlockType value. This change mostly unifies on static polymorphism, relying on minor hacks in block_cache.h to distinguish variants of Block. We still check BlockType in some places (especially for stats, which could be improved in follow-up work) but at least the BlockType is a static constant from the template parameter. (No more awkward partial redundancy between static and dynamic info.) This likely contributes to the overall performance improvement, but hasn't been tested in isolation.

The other key source of simplification here is a more unified system of creating block cache objects: for directly populating from primary cache and for promotion from secondary cache. Both use BlockCreateContext, for context and for factory functions.

## block_based_table_builder.cc, cache_dump_load_impl.cc
Before this change, warming caches was super ugly code. Both of these source files had switch statements to basically transition from the dynamic BlockType world to the static TBlocklike world. None of that mess is needed anymore as there's a new, untyped WarmInCache function that handles all the details just as promotion from SecondaryCache would. (Fixes `TODO akanksha: Dedup below code` in block_based_table_builder.cc.)

## Everything else
Mostly just updating Cache users to use new typed APIs when reasonably possible, or changed Cache APIs when not.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/10975

Test Plan:
tests updated

Performance test setup similar to https://github.com/facebook/rocksdb/issues/10626 (by cache size, LRUCache when not "hyper" for HyperClockCache):

34MB 1thread base.hyper -> kops/s: 0.745 io_bytes/op: 2.52504e+06 miss_ratio: 0.140906 max_rss_mb: 76.4844
34MB 1thread new.hyper -> kops/s: 0.751 io_bytes/op: 2.5123e+06 miss_ratio: 0.140161 max_rss_mb: 79.3594
34MB 1thread base -> kops/s: 0.254 io_bytes/op: 1.36073e+07 miss_ratio: 0.918818 max_rss_mb: 45.9297
34MB 1thread new -> kops/s: 0.252 io_bytes/op: 1.36157e+07 miss_ratio: 0.918999 max_rss_mb: 44.1523
34MB 32thread base.hyper -> kops/s: 7.272 io_bytes/op: 2.88323e+06 miss_ratio: 0.162532 max_rss_mb: 516.602
34MB 32thread new.hyper -> kops/s: 7.214 io_bytes/op: 2.99046e+06 miss_ratio: 0.168818 max_rss_mb: 518.293
34MB 32thread base -> kops/s: 3.528 io_bytes/op: 1.35722e+07 miss_ratio: 0.914691 max_rss_mb: 264.926
34MB 32thread new -> kops/s: 3.604 io_bytes/op: 1.35744e+07 miss_ratio: 0.915054 max_rss_mb: 264.488
233MB 1thread base.hyper -> kops/s: 53.909 io_bytes/op: 2552.35 miss_ratio: 0.0440566 max_rss_mb: 241.984
233MB 1thread new.hyper -> kops/s: 62.792 io_bytes/op: 2549.79 miss_ratio: 0.044043 max_rss_mb: 241.922
233MB 1thread base -> kops/s: 1.197 io_bytes/op: 2.75173e+06 miss_ratio: 0.103093 max_rss_mb: 241.559
233MB 1thread new -> kops/s: 1.199 io_bytes/op: 2.73723e+06 miss_ratio: 0.10305 max_rss_mb: 240.93
233MB 32thread base.hyper -> kops/s: 1298.69 io_bytes/op: 2539.12 miss_ratio: 0.0440307 max_rss_mb: 371.418
233MB 32thread new.hyper -> kops/s: 1421.35 io_bytes/op: 2538.75 miss_ratio: 0.0440307 max_rss_mb: 347.273
233MB 32thread base -> kops/s: 9.693 io_bytes/op: 2.77304e+06 miss_ratio: 0.103745 max_rss_mb: 569.691
233MB 32thread new -> kops/s: 9.75 io_bytes/op: 2.77559e+06 miss_ratio: 0.103798 max_rss_mb: 552.82
1597MB 1thread base.hyper -> kops/s: 58.607 io_bytes/op: 1449.14 miss_ratio: 0.0249324 max_rss_mb: 1583.55
1597MB 1thread new.hyper -> kops/s: 69.6 io_bytes/op: 1434.89 miss_ratio: 0.0247167 max_rss_mb: 1584.02
1597MB 1thread base -> kops/s: 60.478 io_bytes/op: 1421.28 miss_ratio: 0.024452 max_rss_mb: 1589.45
1597MB 1thread new -> kops/s: 63.973 io_bytes/op: 1416.07 miss_ratio: 0.0243766 max_rss_mb: 1589.24
1597MB 32thread base.hyper -> kops/s: 1436.2 io_bytes/op: 1357.93 miss_ratio: 0.0235353 max_rss_mb: 1692.92
1597MB 32thread new.hyper -> kops/s: 1605.03 io_bytes/op: 1358.04 miss_ratio: 0.023538 max_rss_mb: 1702.78
1597MB 32thread base -> kops/s: 280.059 io_bytes/op: 1350.34 miss_ratio: 0.023289 max_rss_mb: 1675.36
1597MB 32thread new -> kops/s: 283.125 io_bytes/op: 1351.05 miss_ratio: 0.0232797 max_rss_mb: 1703.83

Almost uniformly improving over base revision, especially for hot paths with HyperClockCache, up to 12% higher throughput seen (1597MB, 32thread, hyper). The improvement for that is likely coming from much simplified code for providing context for secondary cache promotion (CreateCallback/CreateContext), and possibly from less branching in block_based_table_reader. And likely a small improvement from not reconstituting key for DeleterFn.

Reviewed By: anand1976

Differential Revision: D42417818

Pulled By: pdillinger

fbshipit-source-id: f86bfdd584dce27c028b151ba56818ad14f7a432
2023-01-11 14:20:40 -08:00

461 lines
14 KiB
C++

// Copyright (c) Meta Platforms, Inc. and affiliates.
// 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).
#include "db/blob/blob_source.h"
#include <cassert>
#include <string>
#include "cache/cache_reservation_manager.h"
#include "cache/charged_cache.h"
#include "db/blob/blob_contents.h"
#include "db/blob/blob_file_reader.h"
#include "db/blob/blob_log_format.h"
#include "monitoring/statistics.h"
#include "options/cf_options.h"
#include "table/get_context.h"
#include "table/multiget_context.h"
namespace ROCKSDB_NAMESPACE {
BlobSource::BlobSource(const ImmutableOptions* immutable_options,
const std::string& db_id,
const std::string& db_session_id,
BlobFileCache* blob_file_cache)
: db_id_(db_id),
db_session_id_(db_session_id),
statistics_(immutable_options->statistics.get()),
blob_file_cache_(blob_file_cache),
blob_cache_(immutable_options->blob_cache),
lowest_used_cache_tier_(immutable_options->lowest_used_cache_tier) {
#ifndef ROCKSDB_LITE
auto bbto =
immutable_options->table_factory->GetOptions<BlockBasedTableOptions>();
if (bbto &&
bbto->cache_usage_options.options_overrides.at(CacheEntryRole::kBlobCache)
.charged == CacheEntryRoleOptions::Decision::kEnabled) {
blob_cache_ = SharedCacheInterface{std::make_shared<ChargedCache>(
immutable_options->blob_cache, bbto->block_cache)};
}
#endif // ROCKSDB_LITE
}
BlobSource::~BlobSource() = default;
Status BlobSource::GetBlobFromCache(
const Slice& cache_key, CacheHandleGuard<BlobContents>* cached_blob) const {
assert(blob_cache_);
assert(!cache_key.empty());
assert(cached_blob);
assert(cached_blob->IsEmpty());
Cache::Handle* cache_handle = nullptr;
cache_handle = GetEntryFromCache(cache_key);
if (cache_handle != nullptr) {
*cached_blob =
CacheHandleGuard<BlobContents>(blob_cache_.get(), cache_handle);
assert(cached_blob->GetValue());
PERF_COUNTER_ADD(blob_cache_hit_count, 1);
RecordTick(statistics_, BLOB_DB_CACHE_HIT);
RecordTick(statistics_, BLOB_DB_CACHE_BYTES_READ,
cached_blob->GetValue()->size());
return Status::OK();
}
RecordTick(statistics_, BLOB_DB_CACHE_MISS);
return Status::NotFound("Blob not found in cache");
}
Status BlobSource::PutBlobIntoCache(
const Slice& cache_key, std::unique_ptr<BlobContents>* blob,
CacheHandleGuard<BlobContents>* cached_blob) const {
assert(blob_cache_);
assert(!cache_key.empty());
assert(blob);
assert(*blob);
assert(cached_blob);
assert(cached_blob->IsEmpty());
TypedHandle* cache_handle = nullptr;
const Status s = InsertEntryIntoCache(cache_key, blob->get(),
&cache_handle, Cache::Priority::BOTTOM);
if (s.ok()) {
blob->release();
assert(cache_handle != nullptr);
*cached_blob =
CacheHandleGuard<BlobContents>(blob_cache_.get(), cache_handle);
assert(cached_blob->GetValue());
RecordTick(statistics_, BLOB_DB_CACHE_ADD);
RecordTick(statistics_, BLOB_DB_CACHE_BYTES_WRITE,
cached_blob->GetValue()->size());
} else {
RecordTick(statistics_, BLOB_DB_CACHE_ADD_FAILURES);
}
return s;
}
BlobSource::TypedHandle* BlobSource::GetEntryFromCache(const Slice& key) const {
return blob_cache_.LookupFull(
key, nullptr /* context */, Cache::Priority::BOTTOM,
true /* wait_for_cache */, statistics_, lowest_used_cache_tier_);
}
void BlobSource::PinCachedBlob(CacheHandleGuard<BlobContents>* cached_blob,
PinnableSlice* value) {
assert(cached_blob);
assert(cached_blob->GetValue());
assert(value);
// To avoid copying the cached blob into the buffer provided by the
// application, we can simply transfer ownership of the cache handle to
// the target PinnableSlice. This has the potential to save a lot of
// CPU, especially with large blob values.
value->Reset();
constexpr Cleanable* cleanable = nullptr;
value->PinSlice(cached_blob->GetValue()->data(), cleanable);
cached_blob->TransferTo(value);
}
void BlobSource::PinOwnedBlob(std::unique_ptr<BlobContents>* owned_blob,
PinnableSlice* value) {
assert(owned_blob);
assert(*owned_blob);
assert(value);
BlobContents* const blob = owned_blob->release();
assert(blob);
value->Reset();
value->PinSlice(
blob->data(),
[](void* arg1, void* /* arg2 */) {
delete static_cast<BlobContents*>(arg1);
},
blob, nullptr);
}
Status BlobSource::InsertEntryIntoCache(const Slice& key, BlobContents* value,
TypedHandle** cache_handle,
Cache::Priority priority) const {
return blob_cache_.InsertFull(key, value, value->ApproximateMemoryUsage(),
cache_handle, priority,
lowest_used_cache_tier_);
}
Status BlobSource::GetBlob(const ReadOptions& read_options,
const Slice& user_key, uint64_t file_number,
uint64_t offset, uint64_t file_size,
uint64_t value_size,
CompressionType compression_type,
FilePrefetchBuffer* prefetch_buffer,
PinnableSlice* value, uint64_t* bytes_read) {
assert(value);
Status s;
const CacheKey cache_key = GetCacheKey(file_number, file_size, offset);
CacheHandleGuard<BlobContents> blob_handle;
// First, try to get the blob from the cache
//
// If blob cache is enabled, we'll try to read from it.
if (blob_cache_) {
Slice key = cache_key.AsSlice();
s = GetBlobFromCache(key, &blob_handle);
if (s.ok()) {
PinCachedBlob(&blob_handle, value);
// For consistency, the size of on-disk (possibly compressed) blob record
// is assigned to bytes_read.
uint64_t adjustment =
read_options.verify_checksums
? BlobLogRecord::CalculateAdjustmentForRecordHeader(
user_key.size())
: 0;
assert(offset >= adjustment);
uint64_t record_size = value_size + adjustment;
if (bytes_read) {
*bytes_read = record_size;
}
return s;
}
}
assert(blob_handle.IsEmpty());
const bool no_io = read_options.read_tier == kBlockCacheTier;
if (no_io) {
s = Status::Incomplete("Cannot read blob(s): no disk I/O allowed");
return s;
}
// Can't find the blob from the cache. Since I/O is allowed, read from the
// file.
std::unique_ptr<BlobContents> blob_contents;
{
CacheHandleGuard<BlobFileReader> blob_file_reader;
s = blob_file_cache_->GetBlobFileReader(file_number, &blob_file_reader);
if (!s.ok()) {
return s;
}
assert(blob_file_reader.GetValue());
if (compression_type != blob_file_reader.GetValue()->GetCompressionType()) {
return Status::Corruption("Compression type mismatch when reading blob");
}
MemoryAllocator* const allocator =
(blob_cache_ && read_options.fill_cache)
? blob_cache_.get()->memory_allocator()
: nullptr;
uint64_t read_size = 0;
s = blob_file_reader.GetValue()->GetBlob(
read_options, user_key, offset, value_size, compression_type,
prefetch_buffer, allocator, &blob_contents, &read_size);
if (!s.ok()) {
return s;
}
if (bytes_read) {
*bytes_read = read_size;
}
}
if (blob_cache_ && read_options.fill_cache) {
// If filling cache is allowed and a cache is configured, try to put the
// blob to the cache.
Slice key = cache_key.AsSlice();
s = PutBlobIntoCache(key, &blob_contents, &blob_handle);
if (!s.ok()) {
return s;
}
PinCachedBlob(&blob_handle, value);
} else {
PinOwnedBlob(&blob_contents, value);
}
assert(s.ok());
return s;
}
void BlobSource::MultiGetBlob(const ReadOptions& read_options,
autovector<BlobFileReadRequests>& blob_reqs,
uint64_t* bytes_read) {
assert(blob_reqs.size() > 0);
uint64_t total_bytes_read = 0;
uint64_t bytes_read_in_file = 0;
for (auto& [file_number, file_size, blob_reqs_in_file] : blob_reqs) {
// sort blob_reqs_in_file by file offset.
std::sort(
blob_reqs_in_file.begin(), blob_reqs_in_file.end(),
[](const BlobReadRequest& lhs, const BlobReadRequest& rhs) -> bool {
return lhs.offset < rhs.offset;
});
MultiGetBlobFromOneFile(read_options, file_number, file_size,
blob_reqs_in_file, &bytes_read_in_file);
total_bytes_read += bytes_read_in_file;
}
if (bytes_read) {
*bytes_read = total_bytes_read;
}
}
void BlobSource::MultiGetBlobFromOneFile(const ReadOptions& read_options,
uint64_t file_number,
uint64_t /*file_size*/,
autovector<BlobReadRequest>& blob_reqs,
uint64_t* bytes_read) {
const size_t num_blobs = blob_reqs.size();
assert(num_blobs > 0);
assert(num_blobs <= MultiGetContext::MAX_BATCH_SIZE);
#ifndef NDEBUG
for (size_t i = 0; i < num_blobs - 1; ++i) {
assert(blob_reqs[i].offset <= blob_reqs[i + 1].offset);
}
#endif // !NDEBUG
using Mask = uint64_t;
Mask cache_hit_mask = 0;
uint64_t total_bytes = 0;
const OffsetableCacheKey base_cache_key(db_id_, db_session_id_, file_number);
if (blob_cache_) {
size_t cached_blob_count = 0;
for (size_t i = 0; i < num_blobs; ++i) {
auto& req = blob_reqs[i];
CacheHandleGuard<BlobContents> blob_handle;
const CacheKey cache_key = base_cache_key.WithOffset(req.offset);
const Slice key = cache_key.AsSlice();
const Status s = GetBlobFromCache(key, &blob_handle);
if (s.ok()) {
assert(req.status);
*req.status = s;
PinCachedBlob(&blob_handle, req.result);
// Update the counter for the number of valid blobs read from the cache.
++cached_blob_count;
// For consistency, the size of each on-disk (possibly compressed) blob
// record is accumulated to total_bytes.
uint64_t adjustment =
read_options.verify_checksums
? BlobLogRecord::CalculateAdjustmentForRecordHeader(
req.user_key->size())
: 0;
assert(req.offset >= adjustment);
total_bytes += req.len + adjustment;
cache_hit_mask |= (Mask{1} << i); // cache hit
}
}
// All blobs were read from the cache.
if (cached_blob_count == num_blobs) {
if (bytes_read) {
*bytes_read = total_bytes;
}
return;
}
}
const bool no_io = read_options.read_tier == kBlockCacheTier;
if (no_io) {
for (size_t i = 0; i < num_blobs; ++i) {
if (!(cache_hit_mask & (Mask{1} << i))) {
BlobReadRequest& req = blob_reqs[i];
assert(req.status);
*req.status =
Status::Incomplete("Cannot read blob(s): no disk I/O allowed");
}
}
return;
}
{
// Find the rest of blobs from the file since I/O is allowed.
autovector<std::pair<BlobReadRequest*, std::unique_ptr<BlobContents>>>
_blob_reqs;
uint64_t _bytes_read = 0;
for (size_t i = 0; i < num_blobs; ++i) {
if (!(cache_hit_mask & (Mask{1} << i))) {
_blob_reqs.emplace_back(&blob_reqs[i], std::unique_ptr<BlobContents>());
}
}
CacheHandleGuard<BlobFileReader> blob_file_reader;
Status s =
blob_file_cache_->GetBlobFileReader(file_number, &blob_file_reader);
if (!s.ok()) {
for (size_t i = 0; i < _blob_reqs.size(); ++i) {
BlobReadRequest* const req = _blob_reqs[i].first;
assert(req);
assert(req->status);
*req->status = s;
}
return;
}
assert(blob_file_reader.GetValue());
MemoryAllocator* const allocator =
(blob_cache_ && read_options.fill_cache)
? blob_cache_.get()->memory_allocator()
: nullptr;
blob_file_reader.GetValue()->MultiGetBlob(read_options, allocator,
_blob_reqs, &_bytes_read);
if (blob_cache_ && read_options.fill_cache) {
// If filling cache is allowed and a cache is configured, try to put
// the blob(s) to the cache.
for (auto& [req, blob_contents] : _blob_reqs) {
assert(req);
if (req->status->ok()) {
CacheHandleGuard<BlobContents> blob_handle;
const CacheKey cache_key = base_cache_key.WithOffset(req->offset);
const Slice key = cache_key.AsSlice();
s = PutBlobIntoCache(key, &blob_contents, &blob_handle);
if (!s.ok()) {
*req->status = s;
} else {
PinCachedBlob(&blob_handle, req->result);
}
}
}
} else {
for (auto& [req, blob_contents] : _blob_reqs) {
assert(req);
if (req->status->ok()) {
PinOwnedBlob(&blob_contents, req->result);
}
}
}
total_bytes += _bytes_read;
if (bytes_read) {
*bytes_read = total_bytes;
}
}
}
bool BlobSource::TEST_BlobInCache(uint64_t file_number, uint64_t file_size,
uint64_t offset, size_t* charge) const {
const CacheKey cache_key = GetCacheKey(file_number, file_size, offset);
const Slice key = cache_key.AsSlice();
CacheHandleGuard<BlobContents> blob_handle;
const Status s = GetBlobFromCache(key, &blob_handle);
if (s.ok() && blob_handle.GetValue() != nullptr) {
if (charge) {
const Cache* const cache = blob_handle.GetCache();
assert(cache);
Cache::Handle* const handle = blob_handle.GetCacheHandle();
assert(handle);
*charge = cache->GetUsage(handle);
}
return true;
}
return false;
}
} // namespace ROCKSDB_NAMESPACE