b55b2f45d0
Summary:
Since DynamicBloom is now only used in-memory, we're free to
change it without schema compatibility issues. The new implementation
is drawn from (with manifest permission)
303542a767/bloom_simulation_tests/foo.cc (L613)
This has several speed advantages over the prior implementation:
* Uses fastrange instead of %
* Minimum logic to determine first (and all) probed memory addresses
* (Major) Two probes per 64-bit memory fetch/write.
* Very fast and effective (murmur-like) hash expansion/re-mixing. (At
least on recent CPUs, integer multiplication is very cheap.)
While a Bloom filter with 512-bit cache locality has about a 1.15x FP
rate penalty (e.g. 0.84% to 0.97%), further restricting to two probes
per 64 bits incurs an additional 1.12x FP rate penalty (e.g. 0.97% to
1.09%). Nevertheless, the unit tests show no "mediocre" FP rate samples,
unlike the old implementation with more erratic FP rates.
Especially for the memtable, we expect speed to outweigh somewhat higher
FP rates. For example, a negative table query would have to be 1000x
slower than a BF query to justify doubling BF query time to shave 10% off
FP rate (working assumption around 1% FP rate). While that seems likely
for SSTs, my data suggests a speed factor of roughly 50x for the memtable
(vs. BF; ~1.5% lower write throughput when enabling memtable Bloom
filter, after this change). Thus, it's probably not worth even 5% more
time in the Bloom filter to shave off 1/10th of the Bloom FP rate, or 0.1%
in absolute terms, and it's probably at least 20% slower to recoup that
much FP rate from this new implementation. Because of this, we do not see
a need for a 'locality' option that affects the MemTable Bloom filter
and have decoupled the MemTable Bloom filter from Options::bloom_locality.
Note that just 3% more memory to the Bloom filter (10.3 bits per key vs.
just 10) is able to make up for the ~12% FP rate drop in the new
implementation:
[] # Nearly "ideal" FP-wise but reasonably fast cache-local implementation
[~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_WORM64_FROM32_any.out 10000000 6 10 $RANDOM 100000000
./foo_gcc_IMPL_CACHE_WORM64_FROM32_any.out time: 3.29372 sampled_fp_rate: 0.00985956 ...
[] # Close match to this new implementation
[~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out 10000000 6 10.3 $RANDOM 100000000
./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out time: 2.10072 sampled_fp_rate: 0.00985655 ...
[] # Old locality=1 implementation
[~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_ROCKSDB_DYNAMIC_any.out 10000000 6 10 $RANDOM 100000000
./foo_gcc_IMPL_CACHE_ROCKSDB_DYNAMIC_any.out time: 3.95472 sampled_fp_rate: 0.00988943 ...
Also note the dramatic speed improvement vs. alternatives.
--
Performance unit test: DynamicBloomTest.concurrent_with_perf is updated
to report more precise timing data. (Measure running time of each
thread, not just longest running thread, etc.) Results averaged over
various sizes enabled with --enable_perf and 20 runs each; old dynamic
bloom refers to locality=1, the faster of the old:
old dynamic bloom, avg add latency = 65.6468
new dynamic bloom, avg add latency = 44.3809
old dynamic bloom, avg query latency = 50.6485
new dynamic bloom, avg query latency = 43.2186
old avg parallel add latency = 41.678
new avg parallel add latency = 24.5238
old avg parallel hit latency = 14.6322
new avg parallel hit latency = 12.3939
old avg parallel miss latency = 16.7289
new avg parallel miss latency = 12.2134
Tested on a dedicated 64-bit production machine at Facebook. Significant
improvement all around.
Despite now using std::atomic<uint64_t>, quick before-and-after test on
a 32-bit machine (Intel Atom N270, released 2008) shows no regression in
performance, in some cases modest improvement.
--
Performance integration test (synthetic): with DEBUG_LEVEL=0, used
TEST_TMPDIR=/dev/shm ./db_bench --benchmarks=fillrandom,readmissing,readrandom,stats --num=2000000
and optionally with -memtable_whole_key_filtering -memtable_bloom_size_ratio=0.01
300 runs each configuration.
Write throughput change by enabling memtable bloom:
Old locality=0: -3.06%
Old locality=1: -2.37%
New: -1.50%
conclusion -> seems to substantially close the gap
Readmissing throughput change by enabling memtable bloom:
Old locality=0: +34.47%
Old locality=1: +34.80%
New: +33.25%
conclusion -> maybe a small new penalty from FP rate
Readrandom throughput change by enabling memtable bloom:
Old locality=0: +31.54%
Old locality=1: +31.13%
New: +30.60%
conclusion -> maybe also from FP rate (after memtable flush)
--
Another conclusion we can draw from this new implementation is that the
existing 32-bit hash function is not inherently crippling the Bloom
filter speed or accuracy, below about 5 million keys. For speed, the
implementation is essentially the same whether starting with 32-bits or
64-bits of hash; it just determines whether the first multiplication
after fastrange is a pseudorandom expansion or needed re-mix. Note that
this multiplication can occur while memory is fetching.
For accuracy, in a standard configuration, you need about 5 million
keys before you have about a 1.1x FP penalty due to using a
32-bit hash vs. 64-bit:
[~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out $((5 * 1000 * 1000 * 10)) 6 10 $RANDOM 100000000
./foo_gcc_IMPL_CACHE_MUL64_BLOCK_FROM32_any.out time: 2.52069 sampled_fp_rate: 0.0118267 ...
[~/wormhashing/bloom_simulation_tests] ./foo_gcc_IMPL_CACHE_MUL64_BLOCK_any.out $((5 * 1000 * 1000 * 10)) 6 10 $RANDOM 100000000
./foo_gcc_IMPL_CACHE_MUL64_BLOCK_any.out time: 2.43871 sampled_fp_rate: 0.0109059
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5762
Differential Revision: D17214194
Pulled By: pdillinger
fbshipit-source-id: ad9da031772e985fd6b62a0e1db8e81892520595
1039 lines
38 KiB
C++
1039 lines
38 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 "db/memtable.h"
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#include <algorithm>
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#include <limits>
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#include <memory>
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#include "db/dbformat.h"
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#include "db/merge_context.h"
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#include "db/merge_helper.h"
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#include "db/pinned_iterators_manager.h"
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#include "db/range_tombstone_fragmenter.h"
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#include "db/read_callback.h"
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#include "memory/arena.h"
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#include "memory/memory_usage.h"
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#include "monitoring/perf_context_imp.h"
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#include "monitoring/statistics.h"
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#include "port/port.h"
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#include "rocksdb/comparator.h"
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#include "rocksdb/env.h"
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#include "rocksdb/iterator.h"
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#include "rocksdb/merge_operator.h"
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#include "rocksdb/slice_transform.h"
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#include "rocksdb/write_buffer_manager.h"
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#include "table/internal_iterator.h"
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#include "table/iterator_wrapper.h"
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#include "table/merging_iterator.h"
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#include "util/autovector.h"
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#include "util/coding.h"
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#include "util/mutexlock.h"
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#include "util/util.h"
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namespace rocksdb {
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ImmutableMemTableOptions::ImmutableMemTableOptions(
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const ImmutableCFOptions& ioptions,
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const MutableCFOptions& mutable_cf_options)
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: arena_block_size(mutable_cf_options.arena_block_size),
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memtable_prefix_bloom_bits(
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static_cast<uint32_t>(
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static_cast<double>(mutable_cf_options.write_buffer_size) *
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mutable_cf_options.memtable_prefix_bloom_size_ratio) *
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8u),
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memtable_huge_page_size(mutable_cf_options.memtable_huge_page_size),
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memtable_whole_key_filtering(
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mutable_cf_options.memtable_whole_key_filtering),
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inplace_update_support(ioptions.inplace_update_support),
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inplace_update_num_locks(mutable_cf_options.inplace_update_num_locks),
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inplace_callback(ioptions.inplace_callback),
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max_successive_merges(mutable_cf_options.max_successive_merges),
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statistics(ioptions.statistics),
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merge_operator(ioptions.merge_operator),
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info_log(ioptions.info_log) {}
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MemTable::MemTable(const InternalKeyComparator& cmp,
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const ImmutableCFOptions& ioptions,
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const MutableCFOptions& mutable_cf_options,
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WriteBufferManager* write_buffer_manager,
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SequenceNumber latest_seq, uint32_t column_family_id)
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: comparator_(cmp),
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moptions_(ioptions, mutable_cf_options),
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refs_(0),
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kArenaBlockSize(OptimizeBlockSize(moptions_.arena_block_size)),
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mem_tracker_(write_buffer_manager),
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arena_(moptions_.arena_block_size,
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(write_buffer_manager != nullptr &&
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(write_buffer_manager->enabled() ||
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write_buffer_manager->cost_to_cache()))
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? &mem_tracker_
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: nullptr,
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mutable_cf_options.memtable_huge_page_size),
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table_(ioptions.memtable_factory->CreateMemTableRep(
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comparator_, &arena_, mutable_cf_options.prefix_extractor.get(),
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ioptions.info_log, column_family_id)),
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range_del_table_(SkipListFactory().CreateMemTableRep(
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comparator_, &arena_, nullptr /* transform */, ioptions.info_log,
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column_family_id)),
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is_range_del_table_empty_(true),
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data_size_(0),
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num_entries_(0),
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num_deletes_(0),
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write_buffer_size_(mutable_cf_options.write_buffer_size),
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flush_in_progress_(false),
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flush_completed_(false),
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file_number_(0),
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first_seqno_(0),
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earliest_seqno_(latest_seq),
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creation_seq_(latest_seq),
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mem_next_logfile_number_(0),
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min_prep_log_referenced_(0),
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locks_(moptions_.inplace_update_support
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? moptions_.inplace_update_num_locks
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: 0),
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prefix_extractor_(mutable_cf_options.prefix_extractor.get()),
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flush_state_(FLUSH_NOT_REQUESTED),
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env_(ioptions.env),
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insert_with_hint_prefix_extractor_(
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ioptions.memtable_insert_with_hint_prefix_extractor),
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oldest_key_time_(std::numeric_limits<uint64_t>::max()),
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atomic_flush_seqno_(kMaxSequenceNumber),
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approximate_memory_usage_(0) {
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UpdateFlushState();
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// something went wrong if we need to flush before inserting anything
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assert(!ShouldScheduleFlush());
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// use bloom_filter_ for both whole key and prefix bloom filter
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if ((prefix_extractor_ || moptions_.memtable_whole_key_filtering) &&
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moptions_.memtable_prefix_bloom_bits > 0) {
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bloom_filter_.reset(
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new DynamicBloom(&arena_, moptions_.memtable_prefix_bloom_bits,
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6 /* hard coded 6 probes */,
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moptions_.memtable_huge_page_size, ioptions.info_log));
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}
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}
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MemTable::~MemTable() {
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mem_tracker_.FreeMem();
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assert(refs_ == 0);
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}
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size_t MemTable::ApproximateMemoryUsage() {
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autovector<size_t> usages = {arena_.ApproximateMemoryUsage(),
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table_->ApproximateMemoryUsage(),
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range_del_table_->ApproximateMemoryUsage(),
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rocksdb::ApproximateMemoryUsage(insert_hints_)};
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size_t total_usage = 0;
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for (size_t usage : usages) {
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// If usage + total_usage >= kMaxSizet, return kMaxSizet.
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// the following variation is to avoid numeric overflow.
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if (usage >= port::kMaxSizet - total_usage) {
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return port::kMaxSizet;
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}
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total_usage += usage;
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}
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approximate_memory_usage_.store(total_usage, std::memory_order_relaxed);
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// otherwise, return the actual usage
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return total_usage;
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}
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bool MemTable::ShouldFlushNow() {
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size_t write_buffer_size = write_buffer_size_.load(std::memory_order_relaxed);
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// In a lot of times, we cannot allocate arena blocks that exactly matches the
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// buffer size. Thus we have to decide if we should over-allocate or
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// under-allocate.
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// This constant variable can be interpreted as: if we still have more than
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// "kAllowOverAllocationRatio * kArenaBlockSize" space left, we'd try to over
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// allocate one more block.
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const double kAllowOverAllocationRatio = 0.6;
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// If arena still have room for new block allocation, we can safely say it
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// shouldn't flush.
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auto allocated_memory = table_->ApproximateMemoryUsage() +
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range_del_table_->ApproximateMemoryUsage() +
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arena_.MemoryAllocatedBytes();
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approximate_memory_usage_.store(allocated_memory, std::memory_order_relaxed);
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// if we can still allocate one more block without exceeding the
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// over-allocation ratio, then we should not flush.
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if (allocated_memory + kArenaBlockSize <
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write_buffer_size + kArenaBlockSize * kAllowOverAllocationRatio) {
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return false;
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}
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// if user keeps adding entries that exceeds write_buffer_size, we need to
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// flush earlier even though we still have much available memory left.
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if (allocated_memory >
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write_buffer_size + kArenaBlockSize * kAllowOverAllocationRatio) {
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return true;
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}
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// In this code path, Arena has already allocated its "last block", which
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// means the total allocatedmemory size is either:
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// (1) "moderately" over allocated the memory (no more than `0.6 * arena
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// block size`. Or,
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// (2) the allocated memory is less than write buffer size, but we'll stop
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// here since if we allocate a new arena block, we'll over allocate too much
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// more (half of the arena block size) memory.
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//
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// In either case, to avoid over-allocate, the last block will stop allocation
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// when its usage reaches a certain ratio, which we carefully choose "0.75
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// full" as the stop condition because it addresses the following issue with
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// great simplicity: What if the next inserted entry's size is
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// bigger than AllocatedAndUnused()?
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//
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// The answer is: if the entry size is also bigger than 0.25 *
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// kArenaBlockSize, a dedicated block will be allocated for it; otherwise
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// arena will anyway skip the AllocatedAndUnused() and allocate a new, empty
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// and regular block. In either case, we *overly* over-allocated.
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//
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// Therefore, setting the last block to be at most "0.75 full" avoids both
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// cases.
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//
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// NOTE: the average percentage of waste space of this approach can be counted
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// as: "arena block size * 0.25 / write buffer size". User who specify a small
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// write buffer size and/or big arena block size may suffer.
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return arena_.AllocatedAndUnused() < kArenaBlockSize / 4;
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}
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void MemTable::UpdateFlushState() {
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auto state = flush_state_.load(std::memory_order_relaxed);
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if (state == FLUSH_NOT_REQUESTED && ShouldFlushNow()) {
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// ignore CAS failure, because that means somebody else requested
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// a flush
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flush_state_.compare_exchange_strong(state, FLUSH_REQUESTED,
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std::memory_order_relaxed,
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std::memory_order_relaxed);
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}
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}
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void MemTable::UpdateOldestKeyTime() {
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uint64_t oldest_key_time = oldest_key_time_.load(std::memory_order_relaxed);
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if (oldest_key_time == std::numeric_limits<uint64_t>::max()) {
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int64_t current_time = 0;
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auto s = env_->GetCurrentTime(¤t_time);
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if (s.ok()) {
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assert(current_time >= 0);
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// If fail, the timestamp is already set.
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oldest_key_time_.compare_exchange_strong(
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oldest_key_time, static_cast<uint64_t>(current_time),
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std::memory_order_relaxed, std::memory_order_relaxed);
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}
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}
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}
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int MemTable::KeyComparator::operator()(const char* prefix_len_key1,
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const char* prefix_len_key2) const {
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// Internal keys are encoded as length-prefixed strings.
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Slice k1 = GetLengthPrefixedSlice(prefix_len_key1);
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Slice k2 = GetLengthPrefixedSlice(prefix_len_key2);
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return comparator.CompareKeySeq(k1, k2);
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}
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int MemTable::KeyComparator::operator()(const char* prefix_len_key,
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const KeyComparator::DecodedType& key)
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const {
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// Internal keys are encoded as length-prefixed strings.
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Slice a = GetLengthPrefixedSlice(prefix_len_key);
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return comparator.CompareKeySeq(a, key);
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}
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void MemTableRep::InsertConcurrently(KeyHandle /*handle*/) {
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#ifndef ROCKSDB_LITE
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throw std::runtime_error("concurrent insert not supported");
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#else
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abort();
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#endif
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}
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Slice MemTableRep::UserKey(const char* key) const {
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Slice slice = GetLengthPrefixedSlice(key);
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return Slice(slice.data(), slice.size() - 8);
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}
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KeyHandle MemTableRep::Allocate(const size_t len, char** buf) {
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*buf = allocator_->Allocate(len);
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return static_cast<KeyHandle>(*buf);
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}
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// Encode a suitable internal key target for "target" and return it.
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// Uses *scratch as scratch space, and the returned pointer will point
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// into this scratch space.
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const char* EncodeKey(std::string* scratch, const Slice& target) {
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scratch->clear();
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PutVarint32(scratch, static_cast<uint32_t>(target.size()));
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scratch->append(target.data(), target.size());
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return scratch->data();
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}
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class MemTableIterator : public InternalIterator {
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public:
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MemTableIterator(const MemTable& mem, const ReadOptions& read_options,
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Arena* arena, bool use_range_del_table = false)
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: bloom_(nullptr),
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prefix_extractor_(mem.prefix_extractor_),
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comparator_(mem.comparator_),
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valid_(false),
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arena_mode_(arena != nullptr),
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value_pinned_(
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!mem.GetImmutableMemTableOptions()->inplace_update_support) {
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if (use_range_del_table) {
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iter_ = mem.range_del_table_->GetIterator(arena);
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} else if (prefix_extractor_ != nullptr && !read_options.total_order_seek) {
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bloom_ = mem.bloom_filter_.get();
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iter_ = mem.table_->GetDynamicPrefixIterator(arena);
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} else {
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iter_ = mem.table_->GetIterator(arena);
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}
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}
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~MemTableIterator() override {
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#ifndef NDEBUG
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// Assert that the MemTableIterator is never deleted while
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// Pinning is Enabled.
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assert(!pinned_iters_mgr_ || !pinned_iters_mgr_->PinningEnabled());
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#endif
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if (arena_mode_) {
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iter_->~Iterator();
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} else {
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delete iter_;
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}
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}
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#ifndef NDEBUG
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void SetPinnedItersMgr(PinnedIteratorsManager* pinned_iters_mgr) override {
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pinned_iters_mgr_ = pinned_iters_mgr;
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}
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PinnedIteratorsManager* pinned_iters_mgr_ = nullptr;
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#endif
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bool Valid() const override { return valid_; }
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void Seek(const Slice& k) override {
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PERF_TIMER_GUARD(seek_on_memtable_time);
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PERF_COUNTER_ADD(seek_on_memtable_count, 1);
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if (bloom_) {
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// iterator should only use prefix bloom filter
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Slice user_k(ExtractUserKey(k));
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if (prefix_extractor_->InDomain(user_k) &&
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!bloom_->MayContain(prefix_extractor_->Transform(user_k))) {
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PERF_COUNTER_ADD(bloom_memtable_miss_count, 1);
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valid_ = false;
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return;
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} else {
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PERF_COUNTER_ADD(bloom_memtable_hit_count, 1);
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}
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}
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iter_->Seek(k, nullptr);
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valid_ = iter_->Valid();
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}
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void SeekForPrev(const Slice& k) override {
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PERF_TIMER_GUARD(seek_on_memtable_time);
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PERF_COUNTER_ADD(seek_on_memtable_count, 1);
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if (bloom_) {
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Slice user_k(ExtractUserKey(k));
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if (prefix_extractor_->InDomain(user_k) &&
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!bloom_->MayContain(prefix_extractor_->Transform(user_k))) {
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PERF_COUNTER_ADD(bloom_memtable_miss_count, 1);
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valid_ = false;
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return;
|
|
} else {
|
|
PERF_COUNTER_ADD(bloom_memtable_hit_count, 1);
|
|
}
|
|
}
|
|
iter_->Seek(k, nullptr);
|
|
valid_ = iter_->Valid();
|
|
if (!Valid()) {
|
|
SeekToLast();
|
|
}
|
|
while (Valid() && comparator_.comparator.Compare(k, key()) < 0) {
|
|
Prev();
|
|
}
|
|
}
|
|
void SeekToFirst() override {
|
|
iter_->SeekToFirst();
|
|
valid_ = iter_->Valid();
|
|
}
|
|
void SeekToLast() override {
|
|
iter_->SeekToLast();
|
|
valid_ = iter_->Valid();
|
|
}
|
|
void Next() override {
|
|
PERF_COUNTER_ADD(next_on_memtable_count, 1);
|
|
assert(Valid());
|
|
iter_->Next();
|
|
valid_ = iter_->Valid();
|
|
}
|
|
void Prev() override {
|
|
PERF_COUNTER_ADD(prev_on_memtable_count, 1);
|
|
assert(Valid());
|
|
iter_->Prev();
|
|
valid_ = iter_->Valid();
|
|
}
|
|
Slice key() const override {
|
|
assert(Valid());
|
|
return GetLengthPrefixedSlice(iter_->key());
|
|
}
|
|
Slice value() const override {
|
|
assert(Valid());
|
|
Slice key_slice = GetLengthPrefixedSlice(iter_->key());
|
|
return GetLengthPrefixedSlice(key_slice.data() + key_slice.size());
|
|
}
|
|
|
|
Status status() const override { return Status::OK(); }
|
|
|
|
bool IsKeyPinned() const override {
|
|
// memtable data is always pinned
|
|
return true;
|
|
}
|
|
|
|
bool IsValuePinned() const override {
|
|
// memtable value is always pinned, except if we allow inplace update.
|
|
return value_pinned_;
|
|
}
|
|
|
|
private:
|
|
DynamicBloom* bloom_;
|
|
const SliceTransform* const prefix_extractor_;
|
|
const MemTable::KeyComparator comparator_;
|
|
MemTableRep::Iterator* iter_;
|
|
bool valid_;
|
|
bool arena_mode_;
|
|
bool value_pinned_;
|
|
|
|
// No copying allowed
|
|
MemTableIterator(const MemTableIterator&);
|
|
void operator=(const MemTableIterator&);
|
|
};
|
|
|
|
InternalIterator* MemTable::NewIterator(const ReadOptions& read_options,
|
|
Arena* arena) {
|
|
assert(arena != nullptr);
|
|
auto mem = arena->AllocateAligned(sizeof(MemTableIterator));
|
|
return new (mem) MemTableIterator(*this, read_options, arena);
|
|
}
|
|
|
|
FragmentedRangeTombstoneIterator* MemTable::NewRangeTombstoneIterator(
|
|
const ReadOptions& read_options, SequenceNumber read_seq) {
|
|
if (read_options.ignore_range_deletions ||
|
|
is_range_del_table_empty_.load(std::memory_order_relaxed)) {
|
|
return nullptr;
|
|
}
|
|
auto* unfragmented_iter = new MemTableIterator(
|
|
*this, read_options, nullptr /* arena */, true /* use_range_del_table */);
|
|
if (unfragmented_iter == nullptr) {
|
|
return nullptr;
|
|
}
|
|
auto fragmented_tombstone_list =
|
|
std::make_shared<FragmentedRangeTombstoneList>(
|
|
std::unique_ptr<InternalIterator>(unfragmented_iter),
|
|
comparator_.comparator);
|
|
|
|
auto* fragmented_iter = new FragmentedRangeTombstoneIterator(
|
|
fragmented_tombstone_list, comparator_.comparator, read_seq);
|
|
return fragmented_iter;
|
|
}
|
|
|
|
port::RWMutex* MemTable::GetLock(const Slice& key) {
|
|
return &locks_[static_cast<size_t>(GetSliceNPHash64(key)) % locks_.size()];
|
|
}
|
|
|
|
MemTable::MemTableStats MemTable::ApproximateStats(const Slice& start_ikey,
|
|
const Slice& end_ikey) {
|
|
uint64_t entry_count = table_->ApproximateNumEntries(start_ikey, end_ikey);
|
|
entry_count += range_del_table_->ApproximateNumEntries(start_ikey, end_ikey);
|
|
if (entry_count == 0) {
|
|
return {0, 0};
|
|
}
|
|
uint64_t n = num_entries_.load(std::memory_order_relaxed);
|
|
if (n == 0) {
|
|
return {0, 0};
|
|
}
|
|
if (entry_count > n) {
|
|
// (range_del_)table_->ApproximateNumEntries() is just an estimate so it can
|
|
// be larger than actual entries we have. Cap it to entries we have to limit
|
|
// the inaccuracy.
|
|
entry_count = n;
|
|
}
|
|
uint64_t data_size = data_size_.load(std::memory_order_relaxed);
|
|
return {entry_count * (data_size / n), entry_count};
|
|
}
|
|
|
|
bool MemTable::Add(SequenceNumber s, ValueType type,
|
|
const Slice& key, /* user key */
|
|
const Slice& value, bool allow_concurrent,
|
|
MemTablePostProcessInfo* post_process_info) {
|
|
// Format of an entry is concatenation of:
|
|
// key_size : varint32 of internal_key.size()
|
|
// key bytes : char[internal_key.size()]
|
|
// value_size : varint32 of value.size()
|
|
// value bytes : char[value.size()]
|
|
uint32_t key_size = static_cast<uint32_t>(key.size());
|
|
uint32_t val_size = static_cast<uint32_t>(value.size());
|
|
uint32_t internal_key_size = key_size + 8;
|
|
const uint32_t encoded_len = VarintLength(internal_key_size) +
|
|
internal_key_size + VarintLength(val_size) +
|
|
val_size;
|
|
char* buf = nullptr;
|
|
std::unique_ptr<MemTableRep>& table =
|
|
type == kTypeRangeDeletion ? range_del_table_ : table_;
|
|
KeyHandle handle = table->Allocate(encoded_len, &buf);
|
|
|
|
char* p = EncodeVarint32(buf, internal_key_size);
|
|
memcpy(p, key.data(), key_size);
|
|
Slice key_slice(p, key_size);
|
|
p += key_size;
|
|
uint64_t packed = PackSequenceAndType(s, type);
|
|
EncodeFixed64(p, packed);
|
|
p += 8;
|
|
p = EncodeVarint32(p, val_size);
|
|
memcpy(p, value.data(), val_size);
|
|
assert((unsigned)(p + val_size - buf) == (unsigned)encoded_len);
|
|
size_t ts_sz = GetInternalKeyComparator().user_comparator()->timestamp_size();
|
|
|
|
if (!allow_concurrent) {
|
|
// Extract prefix for insert with hint.
|
|
if (insert_with_hint_prefix_extractor_ != nullptr &&
|
|
insert_with_hint_prefix_extractor_->InDomain(key_slice)) {
|
|
Slice prefix = insert_with_hint_prefix_extractor_->Transform(key_slice);
|
|
bool res = table->InsertKeyWithHint(handle, &insert_hints_[prefix]);
|
|
if (UNLIKELY(!res)) {
|
|
return res;
|
|
}
|
|
} else {
|
|
bool res = table->InsertKey(handle);
|
|
if (UNLIKELY(!res)) {
|
|
return res;
|
|
}
|
|
}
|
|
|
|
// this is a bit ugly, but is the way to avoid locked instructions
|
|
// when incrementing an atomic
|
|
num_entries_.store(num_entries_.load(std::memory_order_relaxed) + 1,
|
|
std::memory_order_relaxed);
|
|
data_size_.store(data_size_.load(std::memory_order_relaxed) + encoded_len,
|
|
std::memory_order_relaxed);
|
|
if (type == kTypeDeletion) {
|
|
num_deletes_.store(num_deletes_.load(std::memory_order_relaxed) + 1,
|
|
std::memory_order_relaxed);
|
|
}
|
|
|
|
if (bloom_filter_ && prefix_extractor_ &&
|
|
prefix_extractor_->InDomain(key)) {
|
|
bloom_filter_->Add(prefix_extractor_->Transform(key));
|
|
}
|
|
if (bloom_filter_ && moptions_.memtable_whole_key_filtering) {
|
|
bloom_filter_->Add(StripTimestampFromUserKey(key, ts_sz));
|
|
}
|
|
|
|
// The first sequence number inserted into the memtable
|
|
assert(first_seqno_ == 0 || s >= first_seqno_);
|
|
if (first_seqno_ == 0) {
|
|
first_seqno_.store(s, std::memory_order_relaxed);
|
|
|
|
if (earliest_seqno_ == kMaxSequenceNumber) {
|
|
earliest_seqno_.store(GetFirstSequenceNumber(),
|
|
std::memory_order_relaxed);
|
|
}
|
|
assert(first_seqno_.load() >= earliest_seqno_.load());
|
|
}
|
|
assert(post_process_info == nullptr);
|
|
UpdateFlushState();
|
|
} else {
|
|
bool res = table->InsertKeyConcurrently(handle);
|
|
if (UNLIKELY(!res)) {
|
|
return res;
|
|
}
|
|
|
|
assert(post_process_info != nullptr);
|
|
post_process_info->num_entries++;
|
|
post_process_info->data_size += encoded_len;
|
|
if (type == kTypeDeletion) {
|
|
post_process_info->num_deletes++;
|
|
}
|
|
|
|
if (bloom_filter_ && prefix_extractor_ &&
|
|
prefix_extractor_->InDomain(key)) {
|
|
bloom_filter_->AddConcurrently(prefix_extractor_->Transform(key));
|
|
}
|
|
if (bloom_filter_ && moptions_.memtable_whole_key_filtering) {
|
|
bloom_filter_->AddConcurrently(StripTimestampFromUserKey(key, ts_sz));
|
|
}
|
|
|
|
// atomically update first_seqno_ and earliest_seqno_.
|
|
uint64_t cur_seq_num = first_seqno_.load(std::memory_order_relaxed);
|
|
while ((cur_seq_num == 0 || s < cur_seq_num) &&
|
|
!first_seqno_.compare_exchange_weak(cur_seq_num, s)) {
|
|
}
|
|
uint64_t cur_earliest_seqno =
|
|
earliest_seqno_.load(std::memory_order_relaxed);
|
|
while (
|
|
(cur_earliest_seqno == kMaxSequenceNumber || s < cur_earliest_seqno) &&
|
|
!first_seqno_.compare_exchange_weak(cur_earliest_seqno, s)) {
|
|
}
|
|
}
|
|
if (type == kTypeRangeDeletion) {
|
|
is_range_del_table_empty_.store(false, std::memory_order_relaxed);
|
|
}
|
|
UpdateOldestKeyTime();
|
|
return true;
|
|
}
|
|
|
|
// Callback from MemTable::Get()
|
|
namespace {
|
|
|
|
struct Saver {
|
|
Status* status;
|
|
const LookupKey* key;
|
|
bool* found_final_value; // Is value set correctly? Used by KeyMayExist
|
|
bool* merge_in_progress;
|
|
std::string* value;
|
|
SequenceNumber seq;
|
|
const MergeOperator* merge_operator;
|
|
// the merge operations encountered;
|
|
MergeContext* merge_context;
|
|
SequenceNumber max_covering_tombstone_seq;
|
|
MemTable* mem;
|
|
Logger* logger;
|
|
Statistics* statistics;
|
|
bool inplace_update_support;
|
|
bool do_merge;
|
|
Env* env_;
|
|
ReadCallback* callback_;
|
|
bool* is_blob_index;
|
|
|
|
bool CheckCallback(SequenceNumber _seq) {
|
|
if (callback_) {
|
|
return callback_->IsVisible(_seq);
|
|
}
|
|
return true;
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
static bool SaveValue(void* arg, const char* entry) {
|
|
Saver* s = reinterpret_cast<Saver*>(arg);
|
|
assert(s != nullptr);
|
|
MergeContext* merge_context = s->merge_context;
|
|
SequenceNumber max_covering_tombstone_seq = s->max_covering_tombstone_seq;
|
|
const MergeOperator* merge_operator = s->merge_operator;
|
|
|
|
assert(merge_context != nullptr);
|
|
|
|
// entry format is:
|
|
// klength varint32
|
|
// userkey char[klength-8]
|
|
// tag uint64
|
|
// vlength varint32f
|
|
// value char[vlength]
|
|
// Check that it belongs to same user key. We do not check the
|
|
// sequence number since the Seek() call above should have skipped
|
|
// all entries with overly large sequence numbers.
|
|
uint32_t key_length;
|
|
const char* key_ptr = GetVarint32Ptr(entry, entry + 5, &key_length);
|
|
Slice user_key_slice = Slice(key_ptr, key_length - 8);
|
|
if (s->mem->GetInternalKeyComparator()
|
|
.user_comparator()
|
|
->CompareWithoutTimestamp(user_key_slice, s->key->user_key()) == 0) {
|
|
// Correct user key
|
|
const uint64_t tag = DecodeFixed64(key_ptr + key_length - 8);
|
|
ValueType type;
|
|
SequenceNumber seq;
|
|
UnPackSequenceAndType(tag, &seq, &type);
|
|
// If the value is not in the snapshot, skip it
|
|
if (!s->CheckCallback(seq)) {
|
|
return true; // to continue to the next seq
|
|
}
|
|
|
|
s->seq = seq;
|
|
|
|
if ((type == kTypeValue || type == kTypeMerge || type == kTypeBlobIndex) &&
|
|
max_covering_tombstone_seq > seq) {
|
|
type = kTypeRangeDeletion;
|
|
}
|
|
switch (type) {
|
|
case kTypeBlobIndex:
|
|
if (s->is_blob_index == nullptr) {
|
|
ROCKS_LOG_ERROR(s->logger, "Encounter unexpected blob index.");
|
|
*(s->status) = Status::NotSupported(
|
|
"Encounter unsupported blob value. Please open DB with "
|
|
"rocksdb::blob_db::BlobDB instead.");
|
|
} else if (*(s->merge_in_progress)) {
|
|
*(s->status) =
|
|
Status::NotSupported("Blob DB does not support merge operator.");
|
|
}
|
|
if (!s->status->ok()) {
|
|
*(s->found_final_value) = true;
|
|
return false;
|
|
}
|
|
FALLTHROUGH_INTENDED;
|
|
case kTypeValue: {
|
|
if (s->inplace_update_support) {
|
|
s->mem->GetLock(s->key->user_key())->ReadLock();
|
|
}
|
|
Slice v = GetLengthPrefixedSlice(key_ptr + key_length);
|
|
*(s->status) = Status::OK();
|
|
if (*(s->merge_in_progress)) {
|
|
if (s->do_merge) {
|
|
if (s->value != nullptr) {
|
|
*(s->status) = MergeHelper::TimedFullMerge(
|
|
merge_operator, s->key->user_key(), &v,
|
|
merge_context->GetOperands(), s->value, s->logger,
|
|
s->statistics, s->env_, nullptr /* result_operand */, true);
|
|
}
|
|
} else {
|
|
// Preserve the value with the goal of returning it as part of
|
|
// raw merge operands to the user
|
|
merge_context->PushOperand(
|
|
v, s->inplace_update_support == false /* operand_pinned */);
|
|
}
|
|
} else if (!s->do_merge) {
|
|
// Preserve the value with the goal of returning it as part of
|
|
// raw merge operands to the user
|
|
merge_context->PushOperand(
|
|
v, s->inplace_update_support == false /* operand_pinned */);
|
|
} else if (s->value != nullptr) {
|
|
s->value->assign(v.data(), v.size());
|
|
}
|
|
if (s->inplace_update_support) {
|
|
s->mem->GetLock(s->key->user_key())->ReadUnlock();
|
|
}
|
|
*(s->found_final_value) = true;
|
|
if (s->is_blob_index != nullptr) {
|
|
*(s->is_blob_index) = (type == kTypeBlobIndex);
|
|
}
|
|
return false;
|
|
}
|
|
case kTypeDeletion:
|
|
case kTypeSingleDeletion:
|
|
case kTypeRangeDeletion: {
|
|
if (*(s->merge_in_progress)) {
|
|
if (s->value != nullptr) {
|
|
*(s->status) = MergeHelper::TimedFullMerge(
|
|
merge_operator, s->key->user_key(), nullptr,
|
|
merge_context->GetOperands(), s->value, s->logger,
|
|
s->statistics, s->env_, nullptr /* result_operand */, true);
|
|
}
|
|
} else {
|
|
*(s->status) = Status::NotFound();
|
|
}
|
|
*(s->found_final_value) = true;
|
|
return false;
|
|
}
|
|
case kTypeMerge: {
|
|
if (!merge_operator) {
|
|
*(s->status) = Status::InvalidArgument(
|
|
"merge_operator is not properly initialized.");
|
|
// Normally we continue the loop (return true) when we see a merge
|
|
// operand. But in case of an error, we should stop the loop
|
|
// immediately and pretend we have found the value to stop further
|
|
// seek. Otherwise, the later call will override this error status.
|
|
*(s->found_final_value) = true;
|
|
return false;
|
|
}
|
|
Slice v = GetLengthPrefixedSlice(key_ptr + key_length);
|
|
*(s->merge_in_progress) = true;
|
|
merge_context->PushOperand(
|
|
v, s->inplace_update_support == false /* operand_pinned */);
|
|
if (s->do_merge && merge_operator->ShouldMerge(
|
|
merge_context->GetOperandsDirectionBackward())) {
|
|
*(s->status) = MergeHelper::TimedFullMerge(
|
|
merge_operator, s->key->user_key(), nullptr,
|
|
merge_context->GetOperands(), s->value, s->logger, s->statistics,
|
|
s->env_, nullptr /* result_operand */, true);
|
|
*(s->found_final_value) = true;
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
default:
|
|
assert(false);
|
|
return true;
|
|
}
|
|
}
|
|
|
|
// s->state could be Corrupt, merge or notfound
|
|
return false;
|
|
}
|
|
|
|
bool MemTable::Get(const LookupKey& key, std::string* value, Status* s,
|
|
MergeContext* merge_context,
|
|
SequenceNumber* max_covering_tombstone_seq,
|
|
SequenceNumber* seq, const ReadOptions& read_opts,
|
|
ReadCallback* callback, bool* is_blob_index, bool do_merge) {
|
|
// The sequence number is updated synchronously in version_set.h
|
|
if (IsEmpty()) {
|
|
// Avoiding recording stats for speed.
|
|
return false;
|
|
}
|
|
PERF_TIMER_GUARD(get_from_memtable_time);
|
|
|
|
std::unique_ptr<FragmentedRangeTombstoneIterator> range_del_iter(
|
|
NewRangeTombstoneIterator(read_opts,
|
|
GetInternalKeySeqno(key.internal_key())));
|
|
if (range_del_iter != nullptr) {
|
|
*max_covering_tombstone_seq =
|
|
std::max(*max_covering_tombstone_seq,
|
|
range_del_iter->MaxCoveringTombstoneSeqnum(key.user_key()));
|
|
}
|
|
|
|
Slice user_key = key.user_key();
|
|
bool found_final_value = false;
|
|
bool merge_in_progress = s->IsMergeInProgress();
|
|
bool may_contain = true;
|
|
size_t ts_sz = GetInternalKeyComparator().user_comparator()->timestamp_size();
|
|
if (bloom_filter_) {
|
|
// when both memtable_whole_key_filtering and prefix_extractor_ are set,
|
|
// only do whole key filtering for Get() to save CPU
|
|
if (moptions_.memtable_whole_key_filtering) {
|
|
may_contain =
|
|
bloom_filter_->MayContain(StripTimestampFromUserKey(user_key, ts_sz));
|
|
} else {
|
|
assert(prefix_extractor_);
|
|
may_contain =
|
|
!prefix_extractor_->InDomain(user_key) ||
|
|
bloom_filter_->MayContain(prefix_extractor_->Transform(user_key));
|
|
}
|
|
}
|
|
if (bloom_filter_ && !may_contain) {
|
|
// iter is null if prefix bloom says the key does not exist
|
|
PERF_COUNTER_ADD(bloom_memtable_miss_count, 1);
|
|
*seq = kMaxSequenceNumber;
|
|
} else {
|
|
if (bloom_filter_) {
|
|
PERF_COUNTER_ADD(bloom_memtable_hit_count, 1);
|
|
}
|
|
Saver saver;
|
|
saver.status = s;
|
|
saver.found_final_value = &found_final_value;
|
|
saver.merge_in_progress = &merge_in_progress;
|
|
saver.key = &key;
|
|
saver.value = value;
|
|
saver.seq = kMaxSequenceNumber;
|
|
saver.mem = this;
|
|
saver.merge_context = merge_context;
|
|
saver.max_covering_tombstone_seq = *max_covering_tombstone_seq;
|
|
saver.merge_operator = moptions_.merge_operator;
|
|
saver.logger = moptions_.info_log;
|
|
saver.inplace_update_support = moptions_.inplace_update_support;
|
|
saver.statistics = moptions_.statistics;
|
|
saver.env_ = env_;
|
|
saver.callback_ = callback;
|
|
saver.is_blob_index = is_blob_index;
|
|
saver.do_merge = do_merge;
|
|
table_->Get(key, &saver, SaveValue);
|
|
*seq = saver.seq;
|
|
}
|
|
|
|
// No change to value, since we have not yet found a Put/Delete
|
|
if (!found_final_value && merge_in_progress) {
|
|
*s = Status::MergeInProgress();
|
|
}
|
|
PERF_COUNTER_ADD(get_from_memtable_count, 1);
|
|
return found_final_value;
|
|
}
|
|
|
|
void MemTable::Update(SequenceNumber seq,
|
|
const Slice& key,
|
|
const Slice& value) {
|
|
LookupKey lkey(key, seq);
|
|
Slice mem_key = lkey.memtable_key();
|
|
|
|
std::unique_ptr<MemTableRep::Iterator> iter(
|
|
table_->GetDynamicPrefixIterator());
|
|
iter->Seek(lkey.internal_key(), mem_key.data());
|
|
|
|
if (iter->Valid()) {
|
|
// entry format is:
|
|
// key_length varint32
|
|
// userkey char[klength-8]
|
|
// tag uint64
|
|
// vlength varint32
|
|
// value char[vlength]
|
|
// Check that it belongs to same user key. We do not check the
|
|
// sequence number since the Seek() call above should have skipped
|
|
// all entries with overly large sequence numbers.
|
|
const char* entry = iter->key();
|
|
uint32_t key_length = 0;
|
|
const char* key_ptr = GetVarint32Ptr(entry, entry + 5, &key_length);
|
|
if (comparator_.comparator.user_comparator()->Equal(
|
|
Slice(key_ptr, key_length - 8), lkey.user_key())) {
|
|
// Correct user key
|
|
const uint64_t tag = DecodeFixed64(key_ptr + key_length - 8);
|
|
ValueType type;
|
|
SequenceNumber existing_seq;
|
|
UnPackSequenceAndType(tag, &existing_seq, &type);
|
|
assert(existing_seq != seq);
|
|
if (type == kTypeValue) {
|
|
Slice prev_value = GetLengthPrefixedSlice(key_ptr + key_length);
|
|
uint32_t prev_size = static_cast<uint32_t>(prev_value.size());
|
|
uint32_t new_size = static_cast<uint32_t>(value.size());
|
|
|
|
// Update value, if new value size <= previous value size
|
|
if (new_size <= prev_size) {
|
|
char* p =
|
|
EncodeVarint32(const_cast<char*>(key_ptr) + key_length, new_size);
|
|
WriteLock wl(GetLock(lkey.user_key()));
|
|
memcpy(p, value.data(), value.size());
|
|
assert((unsigned)((p + value.size()) - entry) ==
|
|
(unsigned)(VarintLength(key_length) + key_length +
|
|
VarintLength(value.size()) + value.size()));
|
|
RecordTick(moptions_.statistics, NUMBER_KEYS_UPDATED);
|
|
return;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// key doesn't exist
|
|
bool add_res __attribute__((__unused__));
|
|
add_res = Add(seq, kTypeValue, key, value);
|
|
// We already checked unused != seq above. In that case, Add should not fail.
|
|
assert(add_res);
|
|
}
|
|
|
|
bool MemTable::UpdateCallback(SequenceNumber seq,
|
|
const Slice& key,
|
|
const Slice& delta) {
|
|
LookupKey lkey(key, seq);
|
|
Slice memkey = lkey.memtable_key();
|
|
|
|
std::unique_ptr<MemTableRep::Iterator> iter(
|
|
table_->GetDynamicPrefixIterator());
|
|
iter->Seek(lkey.internal_key(), memkey.data());
|
|
|
|
if (iter->Valid()) {
|
|
// entry format is:
|
|
// key_length varint32
|
|
// userkey char[klength-8]
|
|
// tag uint64
|
|
// vlength varint32
|
|
// value char[vlength]
|
|
// Check that it belongs to same user key. We do not check the
|
|
// sequence number since the Seek() call above should have skipped
|
|
// all entries with overly large sequence numbers.
|
|
const char* entry = iter->key();
|
|
uint32_t key_length = 0;
|
|
const char* key_ptr = GetVarint32Ptr(entry, entry + 5, &key_length);
|
|
if (comparator_.comparator.user_comparator()->Equal(
|
|
Slice(key_ptr, key_length - 8), lkey.user_key())) {
|
|
// Correct user key
|
|
const uint64_t tag = DecodeFixed64(key_ptr + key_length - 8);
|
|
ValueType type;
|
|
uint64_t unused;
|
|
UnPackSequenceAndType(tag, &unused, &type);
|
|
switch (type) {
|
|
case kTypeValue: {
|
|
Slice prev_value = GetLengthPrefixedSlice(key_ptr + key_length);
|
|
uint32_t prev_size = static_cast<uint32_t>(prev_value.size());
|
|
|
|
char* prev_buffer = const_cast<char*>(prev_value.data());
|
|
uint32_t new_prev_size = prev_size;
|
|
|
|
std::string str_value;
|
|
WriteLock wl(GetLock(lkey.user_key()));
|
|
auto status = moptions_.inplace_callback(prev_buffer, &new_prev_size,
|
|
delta, &str_value);
|
|
if (status == UpdateStatus::UPDATED_INPLACE) {
|
|
// Value already updated by callback.
|
|
assert(new_prev_size <= prev_size);
|
|
if (new_prev_size < prev_size) {
|
|
// overwrite the new prev_size
|
|
char* p = EncodeVarint32(const_cast<char*>(key_ptr) + key_length,
|
|
new_prev_size);
|
|
if (VarintLength(new_prev_size) < VarintLength(prev_size)) {
|
|
// shift the value buffer as well.
|
|
memcpy(p, prev_buffer, new_prev_size);
|
|
}
|
|
}
|
|
RecordTick(moptions_.statistics, NUMBER_KEYS_UPDATED);
|
|
UpdateFlushState();
|
|
return true;
|
|
} else if (status == UpdateStatus::UPDATED) {
|
|
Add(seq, kTypeValue, key, Slice(str_value));
|
|
RecordTick(moptions_.statistics, NUMBER_KEYS_WRITTEN);
|
|
UpdateFlushState();
|
|
return true;
|
|
} else if (status == UpdateStatus::UPDATE_FAILED) {
|
|
// No action required. Return.
|
|
UpdateFlushState();
|
|
return true;
|
|
}
|
|
}
|
|
default:
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
// If the latest value is not kTypeValue
|
|
// or key doesn't exist
|
|
return false;
|
|
}
|
|
|
|
size_t MemTable::CountSuccessiveMergeEntries(const LookupKey& key) {
|
|
Slice memkey = key.memtable_key();
|
|
|
|
// A total ordered iterator is costly for some memtablerep (prefix aware
|
|
// reps). By passing in the user key, we allow efficient iterator creation.
|
|
// The iterator only needs to be ordered within the same user key.
|
|
std::unique_ptr<MemTableRep::Iterator> iter(
|
|
table_->GetDynamicPrefixIterator());
|
|
iter->Seek(key.internal_key(), memkey.data());
|
|
|
|
size_t num_successive_merges = 0;
|
|
|
|
for (; iter->Valid(); iter->Next()) {
|
|
const char* entry = iter->key();
|
|
uint32_t key_length = 0;
|
|
const char* iter_key_ptr = GetVarint32Ptr(entry, entry + 5, &key_length);
|
|
if (!comparator_.comparator.user_comparator()->Equal(
|
|
Slice(iter_key_ptr, key_length - 8), key.user_key())) {
|
|
break;
|
|
}
|
|
|
|
const uint64_t tag = DecodeFixed64(iter_key_ptr + key_length - 8);
|
|
ValueType type;
|
|
uint64_t unused;
|
|
UnPackSequenceAndType(tag, &unused, &type);
|
|
if (type != kTypeMerge) {
|
|
break;
|
|
}
|
|
|
|
++num_successive_merges;
|
|
}
|
|
|
|
return num_successive_merges;
|
|
}
|
|
|
|
void MemTableRep::Get(const LookupKey& k, void* callback_args,
|
|
bool (*callback_func)(void* arg, const char* entry)) {
|
|
auto iter = GetDynamicPrefixIterator();
|
|
for (iter->Seek(k.internal_key(), k.memtable_key().data());
|
|
iter->Valid() && callback_func(callback_args, iter->key());
|
|
iter->Next()) {
|
|
}
|
|
}
|
|
|
|
void MemTable::RefLogContainingPrepSection(uint64_t log) {
|
|
assert(log > 0);
|
|
auto cur = min_prep_log_referenced_.load();
|
|
while ((log < cur || cur == 0) &&
|
|
!min_prep_log_referenced_.compare_exchange_strong(cur, log)) {
|
|
cur = min_prep_log_referenced_.load();
|
|
}
|
|
}
|
|
|
|
uint64_t MemTable::GetMinLogContainingPrepSection() {
|
|
return min_prep_log_referenced_.load();
|
|
}
|
|
|
|
} // namespace rocksdb
|