2016-03-11 01:35:19 +00:00
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// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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2017-07-15 23:03:42 +00:00
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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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2016-03-11 01:35:19 +00:00
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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 <cstdlib>
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2021-08-17 03:36:19 +00:00
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#include <functional>
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Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
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#include <memory>
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2022-02-04 22:15:06 +00:00
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#include <unordered_set>
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2020-07-09 21:33:42 +00:00
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Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
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#include "cache/cache_entry_roles.h"
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2022-02-04 22:15:06 +00:00
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#include "cache/cache_key.h"
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2017-04-06 02:02:00 +00:00
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#include "cache/lru_cache.h"
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Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
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#include "db/column_family.h"
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2022-02-04 22:15:06 +00:00
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#include "db/db_impl/db_impl.h"
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2016-03-11 01:35:19 +00:00
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#include "db/db_test_util.h"
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2022-02-04 22:15:06 +00:00
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#include "env/unique_id_gen.h"
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2016-03-11 01:35:19 +00:00
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#include "port/stack_trace.h"
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2021-12-10 16:12:09 +00:00
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#include "rocksdb/persistent_cache.h"
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2021-08-17 03:36:19 +00:00
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#include "rocksdb/statistics.h"
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Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
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#include "rocksdb/table.h"
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2022-02-04 22:15:06 +00:00
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#include "rocksdb/table_properties.h"
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#include "table/block_based/block_based_table_reader.h"
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#include "table/unique_id_impl.h"
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2019-12-17 21:52:09 +00:00
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#include "util/compression.h"
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2021-08-18 18:32:00 +00:00
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#include "util/defer.h"
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2022-02-04 22:15:06 +00:00
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#include "util/hash.h"
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#include "util/math.h"
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2020-07-09 21:33:42 +00:00
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#include "util/random.h"
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2021-08-17 03:36:19 +00:00
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#include "utilities/fault_injection_fs.h"
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2016-03-11 01:35:19 +00:00
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2020-02-20 20:07:53 +00:00
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namespace ROCKSDB_NAMESPACE {
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2016-03-11 01:35:19 +00:00
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class DBBlockCacheTest : public DBTestBase {
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private:
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size_t miss_count_ = 0;
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size_t hit_count_ = 0;
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size_t insert_count_ = 0;
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size_t failure_count_ = 0;
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2019-07-23 22:57:43 +00:00
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size_t compression_dict_miss_count_ = 0;
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size_t compression_dict_hit_count_ = 0;
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size_t compression_dict_insert_count_ = 0;
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2016-03-11 01:35:19 +00:00
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size_t compressed_miss_count_ = 0;
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size_t compressed_hit_count_ = 0;
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size_t compressed_insert_count_ = 0;
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size_t compressed_failure_count_ = 0;
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public:
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const size_t kNumBlocks = 10;
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const size_t kValueSize = 100;
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2020-08-18 01:41:20 +00:00
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DBBlockCacheTest()
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2021-07-23 15:37:27 +00:00
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: DBTestBase("db_block_cache_test", /*env_do_fsync=*/true) {}
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2016-03-11 01:35:19 +00:00
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BlockBasedTableOptions GetTableOptions() {
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BlockBasedTableOptions table_options;
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// Set a small enough block size so that each key-value get its own block.
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table_options.block_size = 1;
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return table_options;
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}
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Options GetOptions(const BlockBasedTableOptions& table_options) {
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Options options = CurrentOptions();
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options.create_if_missing = true;
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2016-06-13 18:34:16 +00:00
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options.avoid_flush_during_recovery = false;
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2016-03-11 01:35:19 +00:00
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// options.compression = kNoCompression;
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2020-02-20 20:07:53 +00:00
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options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
2020-09-14 23:59:00 +00:00
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2016-03-11 01:35:19 +00:00
|
|
|
return options;
|
|
|
|
}
|
|
|
|
|
2018-03-05 21:08:17 +00:00
|
|
|
void InitTable(const Options& /*options*/) {
|
2016-03-11 01:35:19 +00:00
|
|
|
std::string value(kValueSize, 'a');
|
|
|
|
for (size_t i = 0; i < kNumBlocks; i++) {
|
2022-05-06 20:03:58 +00:00
|
|
|
ASSERT_OK(Put(std::to_string(i), value.c_str()));
|
2016-03-11 01:35:19 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void RecordCacheCounters(const Options& options) {
|
|
|
|
miss_count_ = TestGetTickerCount(options, BLOCK_CACHE_MISS);
|
|
|
|
hit_count_ = TestGetTickerCount(options, BLOCK_CACHE_HIT);
|
|
|
|
insert_count_ = TestGetTickerCount(options, BLOCK_CACHE_ADD);
|
|
|
|
failure_count_ = TestGetTickerCount(options, BLOCK_CACHE_ADD_FAILURES);
|
|
|
|
compressed_miss_count_ =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_MISS);
|
|
|
|
compressed_hit_count_ =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_HIT);
|
|
|
|
compressed_insert_count_ =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_ADD);
|
|
|
|
compressed_failure_count_ =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_ADD_FAILURES);
|
|
|
|
}
|
|
|
|
|
2019-07-23 22:57:43 +00:00
|
|
|
void RecordCacheCountersForCompressionDict(const Options& options) {
|
|
|
|
compression_dict_miss_count_ =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSION_DICT_MISS);
|
|
|
|
compression_dict_hit_count_ =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSION_DICT_HIT);
|
|
|
|
compression_dict_insert_count_ =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSION_DICT_ADD);
|
|
|
|
}
|
|
|
|
|
2016-03-11 01:35:19 +00:00
|
|
|
void CheckCacheCounters(const Options& options, size_t expected_misses,
|
|
|
|
size_t expected_hits, size_t expected_inserts,
|
|
|
|
size_t expected_failures) {
|
|
|
|
size_t new_miss_count = TestGetTickerCount(options, BLOCK_CACHE_MISS);
|
|
|
|
size_t new_hit_count = TestGetTickerCount(options, BLOCK_CACHE_HIT);
|
|
|
|
size_t new_insert_count = TestGetTickerCount(options, BLOCK_CACHE_ADD);
|
|
|
|
size_t new_failure_count =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_ADD_FAILURES);
|
|
|
|
ASSERT_EQ(miss_count_ + expected_misses, new_miss_count);
|
|
|
|
ASSERT_EQ(hit_count_ + expected_hits, new_hit_count);
|
|
|
|
ASSERT_EQ(insert_count_ + expected_inserts, new_insert_count);
|
|
|
|
ASSERT_EQ(failure_count_ + expected_failures, new_failure_count);
|
|
|
|
miss_count_ = new_miss_count;
|
|
|
|
hit_count_ = new_hit_count;
|
|
|
|
insert_count_ = new_insert_count;
|
|
|
|
failure_count_ = new_failure_count;
|
|
|
|
}
|
|
|
|
|
2019-07-23 22:57:43 +00:00
|
|
|
void CheckCacheCountersForCompressionDict(
|
|
|
|
const Options& options, size_t expected_compression_dict_misses,
|
|
|
|
size_t expected_compression_dict_hits,
|
|
|
|
size_t expected_compression_dict_inserts) {
|
|
|
|
size_t new_compression_dict_miss_count =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSION_DICT_MISS);
|
|
|
|
size_t new_compression_dict_hit_count =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSION_DICT_HIT);
|
|
|
|
size_t new_compression_dict_insert_count =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSION_DICT_ADD);
|
|
|
|
ASSERT_EQ(compression_dict_miss_count_ + expected_compression_dict_misses,
|
|
|
|
new_compression_dict_miss_count);
|
|
|
|
ASSERT_EQ(compression_dict_hit_count_ + expected_compression_dict_hits,
|
|
|
|
new_compression_dict_hit_count);
|
|
|
|
ASSERT_EQ(
|
|
|
|
compression_dict_insert_count_ + expected_compression_dict_inserts,
|
|
|
|
new_compression_dict_insert_count);
|
|
|
|
compression_dict_miss_count_ = new_compression_dict_miss_count;
|
|
|
|
compression_dict_hit_count_ = new_compression_dict_hit_count;
|
|
|
|
compression_dict_insert_count_ = new_compression_dict_insert_count;
|
|
|
|
}
|
|
|
|
|
2016-03-11 01:35:19 +00:00
|
|
|
void CheckCompressedCacheCounters(const Options& options,
|
|
|
|
size_t expected_misses,
|
|
|
|
size_t expected_hits,
|
|
|
|
size_t expected_inserts,
|
|
|
|
size_t expected_failures) {
|
|
|
|
size_t new_miss_count =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_MISS);
|
|
|
|
size_t new_hit_count =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_HIT);
|
|
|
|
size_t new_insert_count =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_ADD);
|
|
|
|
size_t new_failure_count =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_ADD_FAILURES);
|
|
|
|
ASSERT_EQ(compressed_miss_count_ + expected_misses, new_miss_count);
|
|
|
|
ASSERT_EQ(compressed_hit_count_ + expected_hits, new_hit_count);
|
|
|
|
ASSERT_EQ(compressed_insert_count_ + expected_inserts, new_insert_count);
|
|
|
|
ASSERT_EQ(compressed_failure_count_ + expected_failures, new_failure_count);
|
|
|
|
compressed_miss_count_ = new_miss_count;
|
|
|
|
compressed_hit_count_ = new_hit_count;
|
|
|
|
compressed_insert_count_ = new_insert_count;
|
|
|
|
compressed_failure_count_ = new_failure_count;
|
|
|
|
}
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
|
|
|
|
#ifndef ROCKSDB_LITE
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
const std::array<size_t, kNumCacheEntryRoles> GetCacheEntryRoleCountsBg() {
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
// Verify in cache entry role stats
|
2022-10-20 22:04:29 +00:00
|
|
|
std::array<size_t, kNumCacheEntryRoles> cache_entry_role_counts;
|
|
|
|
std::map<std::string, std::string> values;
|
|
|
|
EXPECT_TRUE(db_->GetMapProperty(DB::Properties::kFastBlockCacheEntryStats,
|
|
|
|
&values));
|
|
|
|
for (size_t i = 0; i < kNumCacheEntryRoles; ++i) {
|
|
|
|
auto role = static_cast<CacheEntryRole>(i);
|
|
|
|
cache_entry_role_counts[i] =
|
|
|
|
ParseSizeT(values[BlockCacheEntryStatsMapKeys::EntryCount(role)]);
|
|
|
|
}
|
|
|
|
return cache_entry_role_counts;
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
}
|
|
|
|
#endif // ROCKSDB_LITE
|
2016-03-11 01:35:19 +00:00
|
|
|
};
|
|
|
|
|
2018-01-29 22:34:56 +00:00
|
|
|
TEST_F(DBBlockCacheTest, IteratorBlockCacheUsage) {
|
|
|
|
ReadOptions read_options;
|
|
|
|
read_options.fill_cache = false;
|
|
|
|
auto table_options = GetTableOptions();
|
|
|
|
auto options = GetOptions(table_options);
|
|
|
|
InitTable(options);
|
|
|
|
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
LRUCacheOptions co;
|
|
|
|
co.capacity = 0;
|
|
|
|
co.num_shard_bits = 0;
|
|
|
|
co.strict_capacity_limit = false;
|
|
|
|
// Needed not to count entry stats collector
|
|
|
|
co.metadata_charge_policy = kDontChargeCacheMetadata;
|
|
|
|
std::shared_ptr<Cache> cache = NewLRUCache(co);
|
2018-01-29 22:34:56 +00:00
|
|
|
table_options.block_cache = cache;
|
2020-09-14 23:59:00 +00:00
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2018-01-29 22:34:56 +00:00
|
|
|
Reopen(options);
|
|
|
|
RecordCacheCounters(options);
|
|
|
|
|
|
|
|
std::vector<std::unique_ptr<Iterator>> iterators(kNumBlocks - 1);
|
|
|
|
Iterator* iter = nullptr;
|
|
|
|
|
|
|
|
ASSERT_EQ(0, cache->GetUsage());
|
|
|
|
iter = db_->NewIterator(read_options);
|
2022-05-06 20:03:58 +00:00
|
|
|
iter->Seek(std::to_string(0));
|
2018-01-29 22:34:56 +00:00
|
|
|
ASSERT_LT(0, cache->GetUsage());
|
|
|
|
delete iter;
|
|
|
|
iter = nullptr;
|
|
|
|
ASSERT_EQ(0, cache->GetUsage());
|
|
|
|
}
|
|
|
|
|
2016-03-11 01:35:19 +00:00
|
|
|
TEST_F(DBBlockCacheTest, TestWithoutCompressedBlockCache) {
|
|
|
|
ReadOptions read_options;
|
|
|
|
auto table_options = GetTableOptions();
|
|
|
|
auto options = GetOptions(table_options);
|
|
|
|
InitTable(options);
|
|
|
|
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
LRUCacheOptions co;
|
|
|
|
co.capacity = 0;
|
|
|
|
co.num_shard_bits = 0;
|
|
|
|
co.strict_capacity_limit = false;
|
|
|
|
// Needed not to count entry stats collector
|
|
|
|
co.metadata_charge_policy = kDontChargeCacheMetadata;
|
|
|
|
std::shared_ptr<Cache> cache = NewLRUCache(co);
|
2016-03-11 01:35:19 +00:00
|
|
|
table_options.block_cache = cache;
|
2020-09-14 23:59:00 +00:00
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2016-03-11 01:35:19 +00:00
|
|
|
Reopen(options);
|
|
|
|
RecordCacheCounters(options);
|
|
|
|
|
|
|
|
std::vector<std::unique_ptr<Iterator>> iterators(kNumBlocks - 1);
|
|
|
|
Iterator* iter = nullptr;
|
|
|
|
|
|
|
|
// Load blocks into cache.
|
2020-06-02 22:02:44 +00:00
|
|
|
for (size_t i = 0; i + 1 < kNumBlocks; i++) {
|
2016-03-11 01:35:19 +00:00
|
|
|
iter = db_->NewIterator(read_options);
|
2022-05-06 20:03:58 +00:00
|
|
|
iter->Seek(std::to_string(i));
|
2016-03-11 01:35:19 +00:00
|
|
|
ASSERT_OK(iter->status());
|
|
|
|
CheckCacheCounters(options, 1, 0, 1, 0);
|
|
|
|
iterators[i].reset(iter);
|
|
|
|
}
|
|
|
|
size_t usage = cache->GetUsage();
|
|
|
|
ASSERT_LT(0, usage);
|
|
|
|
cache->SetCapacity(usage);
|
|
|
|
ASSERT_EQ(usage, cache->GetPinnedUsage());
|
|
|
|
|
|
|
|
// Test with strict capacity limit.
|
|
|
|
cache->SetStrictCapacityLimit(true);
|
|
|
|
iter = db_->NewIterator(read_options);
|
2022-05-06 20:03:58 +00:00
|
|
|
iter->Seek(std::to_string(kNumBlocks - 1));
|
2022-07-06 21:41:46 +00:00
|
|
|
ASSERT_TRUE(iter->status().IsMemoryLimit());
|
2016-03-11 01:35:19 +00:00
|
|
|
CheckCacheCounters(options, 1, 0, 0, 1);
|
|
|
|
delete iter;
|
|
|
|
iter = nullptr;
|
|
|
|
|
2019-01-02 19:15:01 +00:00
|
|
|
// Release iterators and access cache again.
|
2020-06-02 22:02:44 +00:00
|
|
|
for (size_t i = 0; i + 1 < kNumBlocks; i++) {
|
2016-03-11 01:35:19 +00:00
|
|
|
iterators[i].reset();
|
|
|
|
CheckCacheCounters(options, 0, 0, 0, 0);
|
|
|
|
}
|
|
|
|
ASSERT_EQ(0, cache->GetPinnedUsage());
|
2020-06-02 22:02:44 +00:00
|
|
|
for (size_t i = 0; i + 1 < kNumBlocks; i++) {
|
2016-03-11 01:35:19 +00:00
|
|
|
iter = db_->NewIterator(read_options);
|
2022-05-06 20:03:58 +00:00
|
|
|
iter->Seek(std::to_string(i));
|
2016-03-11 01:35:19 +00:00
|
|
|
ASSERT_OK(iter->status());
|
|
|
|
CheckCacheCounters(options, 0, 1, 0, 0);
|
|
|
|
iterators[i].reset(iter);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2016-03-15 19:17:40 +00:00
|
|
|
#ifdef SNAPPY
|
2016-03-11 01:35:19 +00:00
|
|
|
TEST_F(DBBlockCacheTest, TestWithCompressedBlockCache) {
|
2021-06-18 04:55:42 +00:00
|
|
|
Options options = CurrentOptions();
|
|
|
|
options.create_if_missing = true;
|
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
|
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.no_block_cache = true;
|
|
|
|
table_options.block_cache_compressed = nullptr;
|
|
|
|
table_options.block_size = 1;
|
|
|
|
table_options.filter_policy.reset(NewBloomFilterPolicy(20));
|
|
|
|
table_options.cache_index_and_filter_blocks = false;
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2016-03-15 19:17:40 +00:00
|
|
|
options.compression = CompressionType::kSnappyCompression;
|
2016-03-11 01:35:19 +00:00
|
|
|
|
2021-06-18 04:55:42 +00:00
|
|
|
DestroyAndReopen(options);
|
|
|
|
|
|
|
|
std::string value(kValueSize, 'a');
|
|
|
|
for (size_t i = 0; i < kNumBlocks; i++) {
|
2022-05-06 20:03:58 +00:00
|
|
|
ASSERT_OK(Put(std::to_string(i), value));
|
2021-06-18 04:55:42 +00:00
|
|
|
ASSERT_OK(Flush());
|
|
|
|
}
|
|
|
|
|
|
|
|
ReadOptions read_options;
|
2016-08-23 20:53:49 +00:00
|
|
|
std::shared_ptr<Cache> compressed_cache = NewLRUCache(1 << 25, 0, false);
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
LRUCacheOptions co;
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|
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co.capacity = 0;
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co.num_shard_bits = 0;
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co.strict_capacity_limit = false;
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// Needed not to count entry stats collector
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co.metadata_charge_policy = kDontChargeCacheMetadata;
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std::shared_ptr<Cache> cache = NewLRUCache(co);
|
2016-03-11 01:35:19 +00:00
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table_options.block_cache = cache;
|
2021-06-18 04:55:42 +00:00
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table_options.no_block_cache = false;
|
2016-03-11 01:35:19 +00:00
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table_options.block_cache_compressed = compressed_cache;
|
2021-06-18 04:55:42 +00:00
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table_options.max_auto_readahead_size = 0;
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table_options.cache_index_and_filter_blocks = false;
|
2020-09-14 23:59:00 +00:00
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options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2016-03-11 01:35:19 +00:00
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Reopen(options);
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RecordCacheCounters(options);
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|
|
// Load blocks into cache.
|
2021-06-18 04:55:42 +00:00
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for (size_t i = 0; i < kNumBlocks - 1; i++) {
|
2022-05-06 20:03:58 +00:00
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ASSERT_EQ(value, Get(std::to_string(i)));
|
2016-03-11 01:35:19 +00:00
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CheckCacheCounters(options, 1, 0, 1, 0);
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CheckCompressedCacheCounters(options, 1, 0, 1, 0);
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}
|
2021-06-18 04:55:42 +00:00
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|
2016-03-11 01:35:19 +00:00
|
|
|
size_t usage = cache->GetUsage();
|
2021-06-18 04:55:42 +00:00
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|
ASSERT_EQ(0, usage);
|
2016-03-11 01:35:19 +00:00
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|
ASSERT_EQ(usage, cache->GetPinnedUsage());
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size_t compressed_usage = compressed_cache->GetUsage();
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ASSERT_LT(0, compressed_usage);
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// Compressed block cache cannot be pinned.
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ASSERT_EQ(0, compressed_cache->GetPinnedUsage());
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// Set strict capacity limit flag. Now block will only load into compressed
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// block cache.
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cache->SetCapacity(usage);
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cache->SetStrictCapacityLimit(true);
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ASSERT_EQ(usage, cache->GetPinnedUsage());
|
2021-06-18 04:55:42 +00:00
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|
|
// Load last key block.
|
2022-07-06 21:41:46 +00:00
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|
|
ASSERT_EQ(
|
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|
|
"Operation aborted: Memory limit reached: Insert failed due to LRU cache "
|
|
|
|
"being full.",
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|
|
Get(std::to_string(kNumBlocks - 1)));
|
2021-07-14 01:12:03 +00:00
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|
|
// Failure will also record the miss counter.
|
|
|
|
CheckCacheCounters(options, 1, 0, 0, 1);
|
2016-03-11 01:35:19 +00:00
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|
|
CheckCompressedCacheCounters(options, 1, 0, 1, 0);
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|
|
|
|
|
|
|
// Clear strict capacity limit flag. This time we shall hit compressed block
|
2021-06-18 04:55:42 +00:00
|
|
|
// cache and load into block cache.
|
2016-03-11 01:35:19 +00:00
|
|
|
cache->SetStrictCapacityLimit(false);
|
2021-06-18 04:55:42 +00:00
|
|
|
// Load last key block.
|
2022-05-06 20:03:58 +00:00
|
|
|
ASSERT_EQ(value, Get(std::to_string(kNumBlocks - 1)));
|
2016-03-11 01:35:19 +00:00
|
|
|
CheckCacheCounters(options, 1, 0, 1, 0);
|
|
|
|
CheckCompressedCacheCounters(options, 0, 1, 0, 0);
|
|
|
|
}
|
2021-11-16 19:14:02 +00:00
|
|
|
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|
|
|
namespace {
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|
|
|
class PersistentCacheFromCache : public PersistentCache {
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|
public:
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|
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PersistentCacheFromCache(std::shared_ptr<Cache> cache, bool read_only)
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|
|
: cache_(cache), read_only_(read_only) {}
|
|
|
|
|
|
|
|
Status Insert(const Slice& key, const char* data,
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|
|
const size_t size) override {
|
|
|
|
if (read_only_) {
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|
|
|
return Status::NotSupported();
|
|
|
|
}
|
|
|
|
std::unique_ptr<char[]> copy{new char[size]};
|
|
|
|
std::copy_n(data, size, copy.get());
|
|
|
|
Status s = cache_->Insert(
|
|
|
|
key, copy.get(), size,
|
|
|
|
GetCacheEntryDeleterForRole<char[], CacheEntryRole::kMisc>());
|
|
|
|
if (s.ok()) {
|
|
|
|
copy.release();
|
|
|
|
}
|
|
|
|
return s;
|
|
|
|
}
|
|
|
|
|
|
|
|
Status Lookup(const Slice& key, std::unique_ptr<char[]>* data,
|
|
|
|
size_t* size) override {
|
|
|
|
auto handle = cache_->Lookup(key);
|
|
|
|
if (handle) {
|
|
|
|
char* ptr = static_cast<char*>(cache_->Value(handle));
|
|
|
|
*size = cache_->GetCharge(handle);
|
|
|
|
data->reset(new char[*size]);
|
|
|
|
std::copy_n(ptr, *size, data->get());
|
|
|
|
cache_->Release(handle);
|
|
|
|
return Status::OK();
|
|
|
|
} else {
|
|
|
|
return Status::NotFound();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
bool IsCompressed() override { return false; }
|
|
|
|
|
|
|
|
StatsType Stats() override { return StatsType(); }
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|
|
|
|
|
|
|
std::string GetPrintableOptions() const override { return ""; }
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|
|
|
|
|
|
|
uint64_t NewId() override { return cache_->NewId(); }
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|
|
|
|
|
|
|
private:
|
|
|
|
std::shared_ptr<Cache> cache_;
|
|
|
|
bool read_only_;
|
|
|
|
};
|
|
|
|
|
|
|
|
class ReadOnlyCacheWrapper : public CacheWrapper {
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|
|
|
using CacheWrapper::CacheWrapper;
|
|
|
|
|
|
|
|
using Cache::Insert;
|
|
|
|
Status Insert(const Slice& /*key*/, void* /*value*/, size_t /*charge*/,
|
|
|
|
void (*)(const Slice& key, void* value) /*deleter*/,
|
|
|
|
Handle** /*handle*/, Priority /*priority*/) override {
|
|
|
|
return Status::NotSupported();
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
2022-11-02 21:34:24 +00:00
|
|
|
} // anonymous namespace
|
2021-11-16 19:14:02 +00:00
|
|
|
|
|
|
|
TEST_F(DBBlockCacheTest, TestWithSameCompressed) {
|
|
|
|
auto table_options = GetTableOptions();
|
|
|
|
auto options = GetOptions(table_options);
|
|
|
|
InitTable(options);
|
|
|
|
|
|
|
|
std::shared_ptr<Cache> rw_cache{NewLRUCache(1000000)};
|
|
|
|
std::shared_ptr<PersistentCacheFromCache> rw_pcache{
|
|
|
|
new PersistentCacheFromCache(rw_cache, /*read_only*/ false)};
|
|
|
|
// Exercise some obscure behavior with read-only wrappers
|
|
|
|
std::shared_ptr<Cache> ro_cache{new ReadOnlyCacheWrapper(rw_cache)};
|
|
|
|
std::shared_ptr<PersistentCacheFromCache> ro_pcache{
|
|
|
|
new PersistentCacheFromCache(rw_cache, /*read_only*/ true)};
|
|
|
|
|
|
|
|
// Simple same pointer
|
|
|
|
table_options.block_cache = rw_cache;
|
|
|
|
table_options.block_cache_compressed = rw_cache;
|
|
|
|
table_options.persistent_cache.reset();
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
ASSERT_EQ(TryReopen(options).ToString(),
|
|
|
|
"Invalid argument: block_cache same as block_cache_compressed not "
|
|
|
|
"currently supported, and would be bad for performance anyway");
|
|
|
|
|
|
|
|
// Other cases
|
|
|
|
table_options.block_cache = ro_cache;
|
|
|
|
table_options.block_cache_compressed = rw_cache;
|
|
|
|
table_options.persistent_cache.reset();
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
ASSERT_EQ(TryReopen(options).ToString(),
|
|
|
|
"Invalid argument: block_cache and block_cache_compressed share "
|
|
|
|
"the same key space, which is not supported");
|
|
|
|
|
|
|
|
table_options.block_cache = rw_cache;
|
|
|
|
table_options.block_cache_compressed = ro_cache;
|
|
|
|
table_options.persistent_cache.reset();
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
ASSERT_EQ(TryReopen(options).ToString(),
|
|
|
|
"Invalid argument: block_cache_compressed and block_cache share "
|
|
|
|
"the same key space, which is not supported");
|
|
|
|
|
|
|
|
table_options.block_cache = ro_cache;
|
|
|
|
table_options.block_cache_compressed.reset();
|
|
|
|
table_options.persistent_cache = rw_pcache;
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
ASSERT_EQ(TryReopen(options).ToString(),
|
|
|
|
"Invalid argument: block_cache and persistent_cache share the same "
|
|
|
|
"key space, which is not supported");
|
|
|
|
|
|
|
|
table_options.block_cache = rw_cache;
|
|
|
|
table_options.block_cache_compressed.reset();
|
|
|
|
table_options.persistent_cache = ro_pcache;
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
ASSERT_EQ(TryReopen(options).ToString(),
|
|
|
|
"Invalid argument: persistent_cache and block_cache share the same "
|
|
|
|
"key space, which is not supported");
|
|
|
|
|
|
|
|
table_options.block_cache.reset();
|
|
|
|
table_options.no_block_cache = true;
|
|
|
|
table_options.block_cache_compressed = ro_cache;
|
|
|
|
table_options.persistent_cache = rw_pcache;
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
ASSERT_EQ(TryReopen(options).ToString(),
|
|
|
|
"Invalid argument: block_cache_compressed and persistent_cache "
|
|
|
|
"share the same key space, which is not supported");
|
|
|
|
|
|
|
|
table_options.block_cache.reset();
|
|
|
|
table_options.no_block_cache = true;
|
|
|
|
table_options.block_cache_compressed = rw_cache;
|
|
|
|
table_options.persistent_cache = ro_pcache;
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
ASSERT_EQ(TryReopen(options).ToString(),
|
|
|
|
"Invalid argument: persistent_cache and block_cache_compressed "
|
|
|
|
"share the same key space, which is not supported");
|
|
|
|
}
|
2016-04-18 18:34:11 +00:00
|
|
|
#endif // SNAPPY
|
|
|
|
|
|
|
|
#ifndef ROCKSDB_LITE
|
2016-04-18 16:42:50 +00:00
|
|
|
|
|
|
|
// Make sure that when options.block_cache is set, after a new table is
|
|
|
|
// created its index/filter blocks are added to block cache.
|
|
|
|
TEST_F(DBBlockCacheTest, IndexAndFilterBlocksOfNewTableAddedToCache) {
|
|
|
|
Options options = CurrentOptions();
|
|
|
|
options.create_if_missing = true;
|
2020-02-20 20:07:53 +00:00
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
2016-04-18 16:42:50 +00:00
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.cache_index_and_filter_blocks = true;
|
|
|
|
table_options.filter_policy.reset(NewBloomFilterPolicy(20));
|
2020-09-14 23:59:00 +00:00
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2016-04-18 16:42:50 +00:00
|
|
|
CreateAndReopenWithCF({"pikachu"}, options);
|
|
|
|
|
|
|
|
ASSERT_OK(Put(1, "key", "val"));
|
|
|
|
// Create a new table.
|
|
|
|
ASSERT_OK(Flush(1));
|
|
|
|
|
|
|
|
// index/filter blocks added to block cache right after table creation.
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_INDEX_MISS));
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_FILTER_MISS));
|
|
|
|
ASSERT_EQ(2, /* only index/filter were added */
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_ADD));
|
|
|
|
ASSERT_EQ(0, TestGetTickerCount(options, BLOCK_CACHE_DATA_MISS));
|
|
|
|
uint64_t int_num;
|
|
|
|
ASSERT_TRUE(
|
|
|
|
dbfull()->GetIntProperty("rocksdb.estimate-table-readers-mem", &int_num));
|
|
|
|
ASSERT_EQ(int_num, 0U);
|
|
|
|
|
|
|
|
// Make sure filter block is in cache.
|
|
|
|
std::string value;
|
|
|
|
ReadOptions ropt;
|
|
|
|
db_->KeyMayExist(ReadOptions(), handles_[1], "key", &value);
|
|
|
|
|
|
|
|
// Miss count should remain the same.
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_FILTER_MISS));
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_FILTER_HIT));
|
|
|
|
|
|
|
|
db_->KeyMayExist(ReadOptions(), handles_[1], "key", &value);
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_FILTER_MISS));
|
|
|
|
ASSERT_EQ(2, TestGetTickerCount(options, BLOCK_CACHE_FILTER_HIT));
|
|
|
|
|
|
|
|
// Make sure index block is in cache.
|
2016-07-26 18:15:14 +00:00
|
|
|
auto index_block_hit = TestGetTickerCount(options, BLOCK_CACHE_INDEX_HIT);
|
2016-04-18 16:42:50 +00:00
|
|
|
value = Get(1, "key");
|
2016-07-26 18:15:14 +00:00
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_INDEX_MISS));
|
2016-04-18 16:42:50 +00:00
|
|
|
ASSERT_EQ(index_block_hit + 1,
|
2016-07-26 18:15:14 +00:00
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_INDEX_HIT));
|
2016-04-18 16:42:50 +00:00
|
|
|
|
|
|
|
value = Get(1, "key");
|
2016-07-26 18:15:14 +00:00
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_INDEX_MISS));
|
2016-04-18 16:42:50 +00:00
|
|
|
ASSERT_EQ(index_block_hit + 2,
|
2016-07-26 18:15:14 +00:00
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_INDEX_HIT));
|
2016-04-18 16:42:50 +00:00
|
|
|
}
|
|
|
|
|
2018-05-01 22:42:06 +00:00
|
|
|
// With fill_cache = false, fills up the cache, then iterates over the entire
|
|
|
|
// db, verify dummy entries inserted in `BlockBasedTable::NewDataBlockIterator`
|
|
|
|
// does not cause heap-use-after-free errors in COMPILE_WITH_ASAN=1 runs
|
|
|
|
TEST_F(DBBlockCacheTest, FillCacheAndIterateDB) {
|
|
|
|
ReadOptions read_options;
|
|
|
|
read_options.fill_cache = false;
|
|
|
|
auto table_options = GetTableOptions();
|
|
|
|
auto options = GetOptions(table_options);
|
|
|
|
InitTable(options);
|
|
|
|
|
|
|
|
std::shared_ptr<Cache> cache = NewLRUCache(10, 0, true);
|
|
|
|
table_options.block_cache = cache;
|
2020-09-14 23:59:00 +00:00
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2018-05-01 22:42:06 +00:00
|
|
|
Reopen(options);
|
|
|
|
ASSERT_OK(Put("key1", "val1"));
|
|
|
|
ASSERT_OK(Put("key2", "val2"));
|
|
|
|
ASSERT_OK(Flush());
|
|
|
|
ASSERT_OK(Put("key3", "val3"));
|
|
|
|
ASSERT_OK(Put("key4", "val4"));
|
|
|
|
ASSERT_OK(Flush());
|
|
|
|
ASSERT_OK(Put("key5", "val5"));
|
|
|
|
ASSERT_OK(Put("key6", "val6"));
|
|
|
|
ASSERT_OK(Flush());
|
|
|
|
|
|
|
|
Iterator* iter = nullptr;
|
|
|
|
|
|
|
|
iter = db_->NewIterator(read_options);
|
2022-05-06 20:03:58 +00:00
|
|
|
iter->Seek(std::to_string(0));
|
2018-05-01 22:42:06 +00:00
|
|
|
while (iter->Valid()) {
|
|
|
|
iter->Next();
|
|
|
|
}
|
|
|
|
delete iter;
|
|
|
|
iter = nullptr;
|
|
|
|
}
|
|
|
|
|
2016-06-03 17:47:47 +00:00
|
|
|
TEST_F(DBBlockCacheTest, IndexAndFilterBlocksStats) {
|
|
|
|
Options options = CurrentOptions();
|
|
|
|
options.create_if_missing = true;
|
2020-02-20 20:07:53 +00:00
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
2016-06-03 17:47:47 +00:00
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.cache_index_and_filter_blocks = true;
|
2019-09-16 22:14:51 +00:00
|
|
|
LRUCacheOptions co;
|
2019-04-22 15:17:45 +00:00
|
|
|
// 500 bytes are enough to hold the first two blocks
|
2019-09-16 22:14:51 +00:00
|
|
|
co.capacity = 500;
|
|
|
|
co.num_shard_bits = 0;
|
|
|
|
co.strict_capacity_limit = false;
|
|
|
|
co.metadata_charge_policy = kDontChargeCacheMetadata;
|
|
|
|
std::shared_ptr<Cache> cache = NewLRUCache(co);
|
2016-06-03 17:47:47 +00:00
|
|
|
table_options.block_cache = cache;
|
2018-11-30 21:11:11 +00:00
|
|
|
table_options.filter_policy.reset(NewBloomFilterPolicy(20, true));
|
2020-09-14 23:59:00 +00:00
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2016-06-03 17:47:47 +00:00
|
|
|
CreateAndReopenWithCF({"pikachu"}, options);
|
|
|
|
|
2019-04-22 15:17:45 +00:00
|
|
|
ASSERT_OK(Put(1, "longer_key", "val"));
|
2016-06-03 17:47:47 +00:00
|
|
|
// Create a new table
|
|
|
|
ASSERT_OK(Flush(1));
|
|
|
|
size_t index_bytes_insert =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_INDEX_BYTES_INSERT);
|
|
|
|
size_t filter_bytes_insert =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_FILTER_BYTES_INSERT);
|
|
|
|
ASSERT_GT(index_bytes_insert, 0);
|
|
|
|
ASSERT_GT(filter_bytes_insert, 0);
|
|
|
|
ASSERT_EQ(cache->GetUsage(), index_bytes_insert + filter_bytes_insert);
|
|
|
|
// set the cache capacity to the current usage
|
|
|
|
cache->SetCapacity(index_bytes_insert + filter_bytes_insert);
|
Move the filter readers out of the block cache (#5504)
Summary:
Currently, when the block cache is used for the filter block, it is not
really the block itself that is stored in the cache but a FilterBlockReader
object. Since this object is not pure data (it has, for instance, pointers that
might dangle, including in one case a back pointer to the TableReader), it's not
really sharable. To avoid the issues around this, the current code erases the
cache entries when the TableReader is closed (which, BTW, is not sufficient
since a concurrent TableReader might have picked up the object in the meantime).
Instead of doing this, the patch moves the FilterBlockReader out of the cache
altogether, and decouples the filter reader object from the filter block.
In particular, instead of the TableReader owning, or caching/pinning the
FilterBlockReader (based on the customer's settings), with the change the
TableReader unconditionally owns the FilterBlockReader, which in turn
owns/caches/pins the filter block. This change also enables us to reuse the code
paths historically used for data blocks for filters as well.
Note:
Eviction statistics for filter blocks are temporarily broken. We plan to fix this in a
separate phase.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5504
Test Plan: make asan_check
Differential Revision: D16036974
Pulled By: ltamasi
fbshipit-source-id: 770f543c5fb4ed126fd1e04bfd3809cf4ff9c091
2019-07-16 20:11:23 +00:00
|
|
|
// The index and filter eviction statistics were broken by the refactoring
|
|
|
|
// that moved the readers out of the block cache. Disabling these until we can
|
Move the index readers out of the block cache (#5298)
Summary:
Currently, when the block cache is used for index blocks as well, it is
not really the index block that is stored in the cache but an
IndexReader object. Since this object is not pure data (it has, for
instance, pointers that might dangle), it's not really sharable. To
avoid the issues around this, the current code uses a dummy unique cache
key for each TableReader to store the IndexReader, and erases the
IndexReader entry when the TableReader is closed. Instead of doing this,
the new code moves the IndexReader out of the cache altogether. In
particular, instead of the TableReader owning, or caching/pinning the
IndexReader based on the customer's settings, the TableReader
unconditionally owns the IndexReader, which in turn owns/caches/pins
the index block (which is itself sharable and thus can be safely put in
the cache without any hacks).
Note: the change has two side effects:
1) Partitions of partitioned indexes no longer affect the read
amplification statistics.
2) Eviction statistics for index blocks are temporarily broken. We plan to fix
this in a separate phase.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5298
Differential Revision: D15303203
Pulled By: ltamasi
fbshipit-source-id: 935a69ba59d87d5e44f42e2310619b790c366e47
2019-05-30 18:49:36 +00:00
|
|
|
// bring the stats back.
|
|
|
|
// ASSERT_EQ(TestGetTickerCount(options, BLOCK_CACHE_INDEX_BYTES_EVICT), 0);
|
Move the filter readers out of the block cache (#5504)
Summary:
Currently, when the block cache is used for the filter block, it is not
really the block itself that is stored in the cache but a FilterBlockReader
object. Since this object is not pure data (it has, for instance, pointers that
might dangle, including in one case a back pointer to the TableReader), it's not
really sharable. To avoid the issues around this, the current code erases the
cache entries when the TableReader is closed (which, BTW, is not sufficient
since a concurrent TableReader might have picked up the object in the meantime).
Instead of doing this, the patch moves the FilterBlockReader out of the cache
altogether, and decouples the filter reader object from the filter block.
In particular, instead of the TableReader owning, or caching/pinning the
FilterBlockReader (based on the customer's settings), with the change the
TableReader unconditionally owns the FilterBlockReader, which in turn
owns/caches/pins the filter block. This change also enables us to reuse the code
paths historically used for data blocks for filters as well.
Note:
Eviction statistics for filter blocks are temporarily broken. We plan to fix this in a
separate phase.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5504
Test Plan: make asan_check
Differential Revision: D16036974
Pulled By: ltamasi
fbshipit-source-id: 770f543c5fb4ed126fd1e04bfd3809cf4ff9c091
2019-07-16 20:11:23 +00:00
|
|
|
// ASSERT_EQ(TestGetTickerCount(options, BLOCK_CACHE_FILTER_BYTES_EVICT), 0);
|
2019-04-22 15:17:45 +00:00
|
|
|
// Note that the second key needs to be no longer than the first one.
|
|
|
|
// Otherwise the second index block may not fit in cache.
|
|
|
|
ASSERT_OK(Put(1, "key", "val"));
|
2016-06-03 17:47:47 +00:00
|
|
|
// Create a new table
|
|
|
|
ASSERT_OK(Flush(1));
|
|
|
|
// cache evicted old index and block entries
|
|
|
|
ASSERT_GT(TestGetTickerCount(options, BLOCK_CACHE_INDEX_BYTES_INSERT),
|
|
|
|
index_bytes_insert);
|
|
|
|
ASSERT_GT(TestGetTickerCount(options, BLOCK_CACHE_FILTER_BYTES_INSERT),
|
|
|
|
filter_bytes_insert);
|
Move the filter readers out of the block cache (#5504)
Summary:
Currently, when the block cache is used for the filter block, it is not
really the block itself that is stored in the cache but a FilterBlockReader
object. Since this object is not pure data (it has, for instance, pointers that
might dangle, including in one case a back pointer to the TableReader), it's not
really sharable. To avoid the issues around this, the current code erases the
cache entries when the TableReader is closed (which, BTW, is not sufficient
since a concurrent TableReader might have picked up the object in the meantime).
Instead of doing this, the patch moves the FilterBlockReader out of the cache
altogether, and decouples the filter reader object from the filter block.
In particular, instead of the TableReader owning, or caching/pinning the
FilterBlockReader (based on the customer's settings), with the change the
TableReader unconditionally owns the FilterBlockReader, which in turn
owns/caches/pins the filter block. This change also enables us to reuse the code
paths historically used for data blocks for filters as well.
Note:
Eviction statistics for filter blocks are temporarily broken. We plan to fix this in a
separate phase.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5504
Test Plan: make asan_check
Differential Revision: D16036974
Pulled By: ltamasi
fbshipit-source-id: 770f543c5fb4ed126fd1e04bfd3809cf4ff9c091
2019-07-16 20:11:23 +00:00
|
|
|
// The index and filter eviction statistics were broken by the refactoring
|
|
|
|
// that moved the readers out of the block cache. Disabling these until we can
|
Move the index readers out of the block cache (#5298)
Summary:
Currently, when the block cache is used for index blocks as well, it is
not really the index block that is stored in the cache but an
IndexReader object. Since this object is not pure data (it has, for
instance, pointers that might dangle), it's not really sharable. To
avoid the issues around this, the current code uses a dummy unique cache
key for each TableReader to store the IndexReader, and erases the
IndexReader entry when the TableReader is closed. Instead of doing this,
the new code moves the IndexReader out of the cache altogether. In
particular, instead of the TableReader owning, or caching/pinning the
IndexReader based on the customer's settings, the TableReader
unconditionally owns the IndexReader, which in turn owns/caches/pins
the index block (which is itself sharable and thus can be safely put in
the cache without any hacks).
Note: the change has two side effects:
1) Partitions of partitioned indexes no longer affect the read
amplification statistics.
2) Eviction statistics for index blocks are temporarily broken. We plan to fix
this in a separate phase.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5298
Differential Revision: D15303203
Pulled By: ltamasi
fbshipit-source-id: 935a69ba59d87d5e44f42e2310619b790c366e47
2019-05-30 18:49:36 +00:00
|
|
|
// bring the stats back.
|
|
|
|
// ASSERT_EQ(TestGetTickerCount(options, BLOCK_CACHE_INDEX_BYTES_EVICT),
|
|
|
|
// index_bytes_insert);
|
Move the filter readers out of the block cache (#5504)
Summary:
Currently, when the block cache is used for the filter block, it is not
really the block itself that is stored in the cache but a FilterBlockReader
object. Since this object is not pure data (it has, for instance, pointers that
might dangle, including in one case a back pointer to the TableReader), it's not
really sharable. To avoid the issues around this, the current code erases the
cache entries when the TableReader is closed (which, BTW, is not sufficient
since a concurrent TableReader might have picked up the object in the meantime).
Instead of doing this, the patch moves the FilterBlockReader out of the cache
altogether, and decouples the filter reader object from the filter block.
In particular, instead of the TableReader owning, or caching/pinning the
FilterBlockReader (based on the customer's settings), with the change the
TableReader unconditionally owns the FilterBlockReader, which in turn
owns/caches/pins the filter block. This change also enables us to reuse the code
paths historically used for data blocks for filters as well.
Note:
Eviction statistics for filter blocks are temporarily broken. We plan to fix this in a
separate phase.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5504
Test Plan: make asan_check
Differential Revision: D16036974
Pulled By: ltamasi
fbshipit-source-id: 770f543c5fb4ed126fd1e04bfd3809cf4ff9c091
2019-07-16 20:11:23 +00:00
|
|
|
// ASSERT_EQ(TestGetTickerCount(options, BLOCK_CACHE_FILTER_BYTES_EVICT),
|
|
|
|
// filter_bytes_insert);
|
2016-06-03 17:47:47 +00:00
|
|
|
}
|
|
|
|
|
2021-06-18 04:55:42 +00:00
|
|
|
#if (defined OS_LINUX || defined OS_WIN)
|
|
|
|
TEST_F(DBBlockCacheTest, WarmCacheWithDataBlocksDuringFlush) {
|
|
|
|
Options options = CurrentOptions();
|
|
|
|
options.create_if_missing = true;
|
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
|
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.block_cache = NewLRUCache(1 << 25, 0, false);
|
|
|
|
table_options.cache_index_and_filter_blocks = false;
|
|
|
|
table_options.prepopulate_block_cache =
|
|
|
|
BlockBasedTableOptions::PrepopulateBlockCache::kFlushOnly;
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
DestroyAndReopen(options);
|
|
|
|
|
|
|
|
std::string value(kValueSize, 'a');
|
|
|
|
for (size_t i = 1; i <= kNumBlocks; i++) {
|
2022-05-06 20:03:58 +00:00
|
|
|
ASSERT_OK(Put(std::to_string(i), value));
|
2021-06-18 04:55:42 +00:00
|
|
|
ASSERT_OK(Flush());
|
|
|
|
ASSERT_EQ(i, options.statistics->getTickerCount(BLOCK_CACHE_DATA_ADD));
|
2022-05-06 20:03:58 +00:00
|
|
|
ASSERT_EQ(value, Get(std::to_string(i)));
|
2021-08-03 19:42:22 +00:00
|
|
|
ASSERT_EQ(0, options.statistics->getTickerCount(BLOCK_CACHE_DATA_MISS));
|
|
|
|
ASSERT_EQ(i, options.statistics->getTickerCount(BLOCK_CACHE_DATA_HIT));
|
|
|
|
}
|
2021-09-15 22:32:07 +00:00
|
|
|
// Verify compaction not counted
|
|
|
|
ASSERT_OK(db_->CompactRange(CompactRangeOptions(), /*begin=*/nullptr,
|
|
|
|
/*end=*/nullptr));
|
|
|
|
EXPECT_EQ(kNumBlocks,
|
|
|
|
options.statistics->getTickerCount(BLOCK_CACHE_DATA_ADD));
|
2021-08-03 19:42:22 +00:00
|
|
|
}
|
|
|
|
|
2021-08-06 02:43:44 +00:00
|
|
|
// This test cache data, index and filter blocks during flush.
|
2021-12-08 20:43:09 +00:00
|
|
|
class DBBlockCacheTest1 : public DBTestBase,
|
2021-12-15 21:19:34 +00:00
|
|
|
public ::testing::WithParamInterface<uint32_t> {
|
2021-12-08 20:43:09 +00:00
|
|
|
public:
|
|
|
|
const size_t kNumBlocks = 10;
|
|
|
|
const size_t kValueSize = 100;
|
|
|
|
DBBlockCacheTest1() : DBTestBase("db_block_cache_test1", true) {}
|
|
|
|
};
|
|
|
|
|
|
|
|
INSTANTIATE_TEST_CASE_P(DBBlockCacheTest1, DBBlockCacheTest1,
|
Remove deprecated block-based filter (#10184)
Summary:
In https://github.com/facebook/rocksdb/issues/9535, release 7.0, we hid the old block-based filter from being created using
the public API, because of its inefficiency. Although we normally maintain read compatibility
on old DBs forever, filters are not required for reading a DB, only for optimizing read
performance. Thus, it should be acceptable to remove this code and the substantial
maintenance burden it carries as useful features are developed and validated (such
as user timestamp).
This change completely removes the code for reading and writing the old block-based
filters, net removing about 1370 lines of code no longer needed. Options removed from
testing / benchmarking tools. The prior existence is only evident in a couple of places:
* `CacheEntryRole::kDeprecatedFilterBlock` - We can update this public API enum in
a major release to minimize source code incompatibilities.
* A warning is logged when an old table file is opened that used the old block-based
filter. This is provided as a courtesy, and would be a pain to unit test, so manual testing
should suffice. Unfortunately, sst_dump does not tell you whether a file uses
block-based filter, and the structure of the code makes it very difficult to fix.
* To detect that case, `kObsoleteFilterBlockPrefix` (renamed from `kFilterBlockPrefix`)
for metaindex is maintained (for now).
Other notes:
* In some cases where numbers are associated with filter configurations, we have had to
update the assigned numbers so that they all correspond to something that exists.
* Fixed potential stat counting bug by assuming `filter_checked = false` for cases
like `filter == nullptr` rather than assuming `filter_checked = true`
* Removed obsolete `block_offset` and `prefix_extractor` parameters from several
functions.
* Removed some unnecessary checks `if (!table_prefix_extractor() && !prefix_extractor)`
because the caller guarantees the prefix extractor exists and is compatible
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10184
Test Plan:
tests updated, manually test new warning in LOG using base version to
generate a DB
Reviewed By: riversand963
Differential Revision: D37212647
Pulled By: pdillinger
fbshipit-source-id: 06ee020d8de3b81260ffc36ad0c1202cbf463a80
2022-06-16 22:51:33 +00:00
|
|
|
::testing::Values(1, 2));
|
2021-12-08 20:43:09 +00:00
|
|
|
|
|
|
|
TEST_P(DBBlockCacheTest1, WarmCacheWithBlocksDuringFlush) {
|
2021-08-03 19:42:22 +00:00
|
|
|
Options options = CurrentOptions();
|
|
|
|
options.create_if_missing = true;
|
2022-09-04 21:55:09 +00:00
|
|
|
options.disable_auto_compactions = true;
|
2021-08-03 19:42:22 +00:00
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
|
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.block_cache = NewLRUCache(1 << 25, 0, false);
|
2021-12-08 20:43:09 +00:00
|
|
|
|
2021-12-15 21:19:34 +00:00
|
|
|
uint32_t filter_type = GetParam();
|
|
|
|
switch (filter_type) {
|
|
|
|
case 1: // partition_filter
|
|
|
|
table_options.partition_filters = true;
|
|
|
|
table_options.index_type =
|
|
|
|
BlockBasedTableOptions::IndexType::kTwoLevelIndexSearch;
|
Remove deprecated block-based filter (#10184)
Summary:
In https://github.com/facebook/rocksdb/issues/9535, release 7.0, we hid the old block-based filter from being created using
the public API, because of its inefficiency. Although we normally maintain read compatibility
on old DBs forever, filters are not required for reading a DB, only for optimizing read
performance. Thus, it should be acceptable to remove this code and the substantial
maintenance burden it carries as useful features are developed and validated (such
as user timestamp).
This change completely removes the code for reading and writing the old block-based
filters, net removing about 1370 lines of code no longer needed. Options removed from
testing / benchmarking tools. The prior existence is only evident in a couple of places:
* `CacheEntryRole::kDeprecatedFilterBlock` - We can update this public API enum in
a major release to minimize source code incompatibilities.
* A warning is logged when an old table file is opened that used the old block-based
filter. This is provided as a courtesy, and would be a pain to unit test, so manual testing
should suffice. Unfortunately, sst_dump does not tell you whether a file uses
block-based filter, and the structure of the code makes it very difficult to fix.
* To detect that case, `kObsoleteFilterBlockPrefix` (renamed from `kFilterBlockPrefix`)
for metaindex is maintained (for now).
Other notes:
* In some cases where numbers are associated with filter configurations, we have had to
update the assigned numbers so that they all correspond to something that exists.
* Fixed potential stat counting bug by assuming `filter_checked = false` for cases
like `filter == nullptr` rather than assuming `filter_checked = true`
* Removed obsolete `block_offset` and `prefix_extractor` parameters from several
functions.
* Removed some unnecessary checks `if (!table_prefix_extractor() && !prefix_extractor)`
because the caller guarantees the prefix extractor exists and is compatible
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10184
Test Plan:
tests updated, manually test new warning in LOG using base version to
generate a DB
Reviewed By: riversand963
Differential Revision: D37212647
Pulled By: pdillinger
fbshipit-source-id: 06ee020d8de3b81260ffc36ad0c1202cbf463a80
2022-06-16 22:51:33 +00:00
|
|
|
table_options.filter_policy.reset(NewBloomFilterPolicy(10));
|
2021-12-15 21:19:34 +00:00
|
|
|
break;
|
Remove deprecated block-based filter (#10184)
Summary:
In https://github.com/facebook/rocksdb/issues/9535, release 7.0, we hid the old block-based filter from being created using
the public API, because of its inefficiency. Although we normally maintain read compatibility
on old DBs forever, filters are not required for reading a DB, only for optimizing read
performance. Thus, it should be acceptable to remove this code and the substantial
maintenance burden it carries as useful features are developed and validated (such
as user timestamp).
This change completely removes the code for reading and writing the old block-based
filters, net removing about 1370 lines of code no longer needed. Options removed from
testing / benchmarking tools. The prior existence is only evident in a couple of places:
* `CacheEntryRole::kDeprecatedFilterBlock` - We can update this public API enum in
a major release to minimize source code incompatibilities.
* A warning is logged when an old table file is opened that used the old block-based
filter. This is provided as a courtesy, and would be a pain to unit test, so manual testing
should suffice. Unfortunately, sst_dump does not tell you whether a file uses
block-based filter, and the structure of the code makes it very difficult to fix.
* To detect that case, `kObsoleteFilterBlockPrefix` (renamed from `kFilterBlockPrefix`)
for metaindex is maintained (for now).
Other notes:
* In some cases where numbers are associated with filter configurations, we have had to
update the assigned numbers so that they all correspond to something that exists.
* Fixed potential stat counting bug by assuming `filter_checked = false` for cases
like `filter == nullptr` rather than assuming `filter_checked = true`
* Removed obsolete `block_offset` and `prefix_extractor` parameters from several
functions.
* Removed some unnecessary checks `if (!table_prefix_extractor() && !prefix_extractor)`
because the caller guarantees the prefix extractor exists and is compatible
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10184
Test Plan:
tests updated, manually test new warning in LOG using base version to
generate a DB
Reviewed By: riversand963
Differential Revision: D37212647
Pulled By: pdillinger
fbshipit-source-id: 06ee020d8de3b81260ffc36ad0c1202cbf463a80
2022-06-16 22:51:33 +00:00
|
|
|
case 2: // full filter
|
|
|
|
table_options.filter_policy.reset(NewBloomFilterPolicy(10));
|
2021-12-15 21:19:34 +00:00
|
|
|
break;
|
|
|
|
default:
|
|
|
|
assert(false);
|
2021-12-08 20:43:09 +00:00
|
|
|
}
|
|
|
|
|
2021-08-03 19:42:22 +00:00
|
|
|
table_options.cache_index_and_filter_blocks = true;
|
|
|
|
table_options.prepopulate_block_cache =
|
|
|
|
BlockBasedTableOptions::PrepopulateBlockCache::kFlushOnly;
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
DestroyAndReopen(options);
|
|
|
|
|
|
|
|
std::string value(kValueSize, 'a');
|
2021-08-06 02:43:44 +00:00
|
|
|
for (size_t i = 1; i <= kNumBlocks; i++) {
|
2022-05-06 20:03:58 +00:00
|
|
|
ASSERT_OK(Put(std::to_string(i), value));
|
2021-08-03 19:42:22 +00:00
|
|
|
ASSERT_OK(Flush());
|
|
|
|
ASSERT_EQ(i, options.statistics->getTickerCount(BLOCK_CACHE_DATA_ADD));
|
2021-12-15 21:19:34 +00:00
|
|
|
if (filter_type == 1) {
|
2021-12-08 20:43:09 +00:00
|
|
|
ASSERT_EQ(2 * i,
|
|
|
|
options.statistics->getTickerCount(BLOCK_CACHE_INDEX_ADD));
|
|
|
|
ASSERT_EQ(2 * i,
|
|
|
|
options.statistics->getTickerCount(BLOCK_CACHE_FILTER_ADD));
|
|
|
|
} else {
|
|
|
|
ASSERT_EQ(i, options.statistics->getTickerCount(BLOCK_CACHE_INDEX_ADD));
|
|
|
|
ASSERT_EQ(i, options.statistics->getTickerCount(BLOCK_CACHE_FILTER_ADD));
|
|
|
|
}
|
2022-05-06 20:03:58 +00:00
|
|
|
ASSERT_EQ(value, Get(std::to_string(i)));
|
2021-08-03 19:42:22 +00:00
|
|
|
|
2021-06-18 04:55:42 +00:00
|
|
|
ASSERT_EQ(0, options.statistics->getTickerCount(BLOCK_CACHE_DATA_MISS));
|
|
|
|
ASSERT_EQ(i, options.statistics->getTickerCount(BLOCK_CACHE_DATA_HIT));
|
2021-08-03 19:42:22 +00:00
|
|
|
|
|
|
|
ASSERT_EQ(0, options.statistics->getTickerCount(BLOCK_CACHE_INDEX_MISS));
|
|
|
|
ASSERT_EQ(i * 3, options.statistics->getTickerCount(BLOCK_CACHE_INDEX_HIT));
|
2021-12-15 21:19:34 +00:00
|
|
|
if (filter_type == 1) {
|
2021-12-08 20:43:09 +00:00
|
|
|
ASSERT_EQ(i * 3,
|
|
|
|
options.statistics->getTickerCount(BLOCK_CACHE_FILTER_HIT));
|
|
|
|
} else {
|
|
|
|
ASSERT_EQ(i * 2,
|
|
|
|
options.statistics->getTickerCount(BLOCK_CACHE_FILTER_HIT));
|
|
|
|
}
|
2021-08-03 19:42:22 +00:00
|
|
|
ASSERT_EQ(0, options.statistics->getTickerCount(BLOCK_CACHE_FILTER_MISS));
|
2021-06-18 04:55:42 +00:00
|
|
|
}
|
2021-12-08 20:43:09 +00:00
|
|
|
|
2021-09-15 22:32:07 +00:00
|
|
|
// Verify compaction not counted
|
2022-09-04 21:55:09 +00:00
|
|
|
CompactRangeOptions cro;
|
|
|
|
// Ensure files are rewritten, not just trivially moved.
|
|
|
|
cro.bottommost_level_compaction = BottommostLevelCompaction::kForceOptimized;
|
|
|
|
ASSERT_OK(db_->CompactRange(cro, /*begin=*/nullptr, /*end=*/nullptr));
|
2021-09-15 22:32:07 +00:00
|
|
|
EXPECT_EQ(kNumBlocks,
|
|
|
|
options.statistics->getTickerCount(BLOCK_CACHE_DATA_ADD));
|
|
|
|
// Index and filter blocks are automatically warmed when the new table file
|
|
|
|
// is automatically opened at the end of compaction. This is not easily
|
|
|
|
// disabled so results in the new index and filter blocks being warmed.
|
2021-12-15 21:19:34 +00:00
|
|
|
if (filter_type == 1) {
|
2021-12-08 20:43:09 +00:00
|
|
|
EXPECT_EQ(2 * (1 + kNumBlocks),
|
|
|
|
options.statistics->getTickerCount(BLOCK_CACHE_INDEX_ADD));
|
|
|
|
EXPECT_EQ(2 * (1 + kNumBlocks),
|
|
|
|
options.statistics->getTickerCount(BLOCK_CACHE_FILTER_ADD));
|
|
|
|
} else {
|
|
|
|
EXPECT_EQ(1 + kNumBlocks,
|
|
|
|
options.statistics->getTickerCount(BLOCK_CACHE_INDEX_ADD));
|
|
|
|
EXPECT_EQ(1 + kNumBlocks,
|
|
|
|
options.statistics->getTickerCount(BLOCK_CACHE_FILTER_ADD));
|
|
|
|
}
|
2021-06-18 04:55:42 +00:00
|
|
|
}
|
2021-08-06 02:43:44 +00:00
|
|
|
|
|
|
|
TEST_F(DBBlockCacheTest, DynamicallyWarmCacheDuringFlush) {
|
|
|
|
Options options = CurrentOptions();
|
|
|
|
options.create_if_missing = true;
|
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
|
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.block_cache = NewLRUCache(1 << 25, 0, false);
|
|
|
|
table_options.cache_index_and_filter_blocks = false;
|
|
|
|
table_options.prepopulate_block_cache =
|
|
|
|
BlockBasedTableOptions::PrepopulateBlockCache::kFlushOnly;
|
|
|
|
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
DestroyAndReopen(options);
|
|
|
|
|
|
|
|
std::string value(kValueSize, 'a');
|
|
|
|
|
|
|
|
for (size_t i = 1; i <= 5; i++) {
|
2022-05-06 20:03:58 +00:00
|
|
|
ASSERT_OK(Put(std::to_string(i), value));
|
2021-08-06 02:43:44 +00:00
|
|
|
ASSERT_OK(Flush());
|
|
|
|
ASSERT_EQ(1,
|
|
|
|
options.statistics->getAndResetTickerCount(BLOCK_CACHE_DATA_ADD));
|
|
|
|
|
2022-05-06 20:03:58 +00:00
|
|
|
ASSERT_EQ(value, Get(std::to_string(i)));
|
2021-08-06 02:43:44 +00:00
|
|
|
ASSERT_EQ(0,
|
|
|
|
options.statistics->getAndResetTickerCount(BLOCK_CACHE_DATA_ADD));
|
|
|
|
ASSERT_EQ(
|
|
|
|
0, options.statistics->getAndResetTickerCount(BLOCK_CACHE_DATA_MISS));
|
|
|
|
ASSERT_EQ(1,
|
|
|
|
options.statistics->getAndResetTickerCount(BLOCK_CACHE_DATA_HIT));
|
|
|
|
}
|
|
|
|
|
|
|
|
ASSERT_OK(dbfull()->SetOptions(
|
|
|
|
{{"block_based_table_factory", "{prepopulate_block_cache=kDisable;}"}}));
|
|
|
|
|
|
|
|
for (size_t i = 6; i <= kNumBlocks; i++) {
|
2022-05-06 20:03:58 +00:00
|
|
|
ASSERT_OK(Put(std::to_string(i), value));
|
2021-08-06 02:43:44 +00:00
|
|
|
ASSERT_OK(Flush());
|
|
|
|
ASSERT_EQ(0,
|
|
|
|
options.statistics->getAndResetTickerCount(BLOCK_CACHE_DATA_ADD));
|
|
|
|
|
2022-05-06 20:03:58 +00:00
|
|
|
ASSERT_EQ(value, Get(std::to_string(i)));
|
2021-08-06 02:43:44 +00:00
|
|
|
ASSERT_EQ(1,
|
|
|
|
options.statistics->getAndResetTickerCount(BLOCK_CACHE_DATA_ADD));
|
|
|
|
ASSERT_EQ(
|
|
|
|
1, options.statistics->getAndResetTickerCount(BLOCK_CACHE_DATA_MISS));
|
|
|
|
ASSERT_EQ(0,
|
|
|
|
options.statistics->getAndResetTickerCount(BLOCK_CACHE_DATA_HIT));
|
|
|
|
}
|
|
|
|
}
|
2021-06-18 04:55:42 +00:00
|
|
|
#endif
|
|
|
|
|
2016-08-23 20:44:13 +00:00
|
|
|
namespace {
|
|
|
|
|
|
|
|
// A mock cache wraps LRUCache, and record how many entries have been
|
|
|
|
// inserted for each priority.
|
|
|
|
class MockCache : public LRUCache {
|
|
|
|
public:
|
|
|
|
static uint32_t high_pri_insert_count;
|
|
|
|
static uint32_t low_pri_insert_count;
|
|
|
|
|
2018-05-24 22:45:49 +00:00
|
|
|
MockCache()
|
|
|
|
: LRUCache((size_t)1 << 25 /*capacity*/, 0 /*num_shard_bits*/,
|
2022-08-13 00:59:06 +00:00
|
|
|
false /*strict_capacity_limit*/, 0.0 /*high_pri_pool_ratio*/,
|
|
|
|
0.0 /*low_pri_pool_ratio*/) {}
|
2016-08-23 20:44:13 +00:00
|
|
|
|
2021-05-14 05:57:51 +00:00
|
|
|
using ShardedCache::Insert;
|
2021-05-22 01:28:28 +00:00
|
|
|
|
|
|
|
Status Insert(const Slice& key, void* value,
|
|
|
|
const Cache::CacheItemHelper* helper_cb, size_t charge,
|
|
|
|
Handle** handle, Priority priority) override {
|
|
|
|
DeleterFn delete_cb = helper_cb->del_cb;
|
2016-08-23 20:44:13 +00:00
|
|
|
if (priority == Priority::LOW) {
|
|
|
|
low_pri_insert_count++;
|
|
|
|
} else {
|
|
|
|
high_pri_insert_count++;
|
|
|
|
}
|
2021-05-22 01:28:28 +00:00
|
|
|
return LRUCache::Insert(key, value, charge, delete_cb, handle, priority);
|
2016-08-23 20:44:13 +00:00
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
uint32_t MockCache::high_pri_insert_count = 0;
|
|
|
|
uint32_t MockCache::low_pri_insert_count = 0;
|
|
|
|
|
|
|
|
} // anonymous namespace
|
|
|
|
|
|
|
|
TEST_F(DBBlockCacheTest, IndexAndFilterBlocksCachePriority) {
|
|
|
|
for (auto priority : {Cache::Priority::LOW, Cache::Priority::HIGH}) {
|
|
|
|
Options options = CurrentOptions();
|
|
|
|
options.create_if_missing = true;
|
2020-02-20 20:07:53 +00:00
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
2016-08-23 20:44:13 +00:00
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.cache_index_and_filter_blocks = true;
|
|
|
|
table_options.block_cache.reset(new MockCache());
|
|
|
|
table_options.filter_policy.reset(NewBloomFilterPolicy(20));
|
|
|
|
table_options.cache_index_and_filter_blocks_with_high_priority =
|
|
|
|
priority == Cache::Priority::HIGH ? true : false;
|
2020-09-14 23:59:00 +00:00
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2016-08-23 20:44:13 +00:00
|
|
|
DestroyAndReopen(options);
|
|
|
|
|
|
|
|
MockCache::high_pri_insert_count = 0;
|
|
|
|
MockCache::low_pri_insert_count = 0;
|
|
|
|
|
|
|
|
// Create a new table.
|
|
|
|
ASSERT_OK(Put("foo", "value"));
|
|
|
|
ASSERT_OK(Put("bar", "value"));
|
|
|
|
ASSERT_OK(Flush());
|
|
|
|
ASSERT_EQ(1, NumTableFilesAtLevel(0));
|
|
|
|
|
|
|
|
// index/filter blocks added to block cache right after table creation.
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_INDEX_MISS));
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_FILTER_MISS));
|
|
|
|
ASSERT_EQ(2, /* only index/filter were added */
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_ADD));
|
|
|
|
ASSERT_EQ(0, TestGetTickerCount(options, BLOCK_CACHE_DATA_MISS));
|
|
|
|
if (priority == Cache::Priority::LOW) {
|
2019-09-09 18:22:28 +00:00
|
|
|
ASSERT_EQ(0u, MockCache::high_pri_insert_count);
|
|
|
|
ASSERT_EQ(2u, MockCache::low_pri_insert_count);
|
2016-08-23 20:44:13 +00:00
|
|
|
} else {
|
2019-09-09 18:22:28 +00:00
|
|
|
ASSERT_EQ(2u, MockCache::high_pri_insert_count);
|
|
|
|
ASSERT_EQ(0u, MockCache::low_pri_insert_count);
|
2016-08-23 20:44:13 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
// Access data block.
|
|
|
|
ASSERT_EQ("value", Get("foo"));
|
|
|
|
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_INDEX_MISS));
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_FILTER_MISS));
|
|
|
|
ASSERT_EQ(3, /*adding data block*/
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_ADD));
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_DATA_MISS));
|
|
|
|
|
|
|
|
// Data block should be inserted with low priority.
|
|
|
|
if (priority == Cache::Priority::LOW) {
|
2019-09-09 18:22:28 +00:00
|
|
|
ASSERT_EQ(0u, MockCache::high_pri_insert_count);
|
|
|
|
ASSERT_EQ(3u, MockCache::low_pri_insert_count);
|
2016-08-23 20:44:13 +00:00
|
|
|
} else {
|
2019-09-09 18:22:28 +00:00
|
|
|
ASSERT_EQ(2u, MockCache::high_pri_insert_count);
|
|
|
|
ASSERT_EQ(1u, MockCache::low_pri_insert_count);
|
2016-08-23 20:44:13 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2020-04-27 20:18:18 +00:00
|
|
|
namespace {
|
|
|
|
|
|
|
|
// An LRUCache wrapper that can falsely report "not found" on Lookup.
|
|
|
|
// This allows us to manipulate BlockBasedTableReader into thinking
|
|
|
|
// another thread inserted the data in between Lookup and Insert,
|
|
|
|
// while mostly preserving the LRUCache interface/behavior.
|
|
|
|
class LookupLiarCache : public CacheWrapper {
|
|
|
|
int nth_lookup_not_found_ = 0;
|
|
|
|
|
|
|
|
public:
|
|
|
|
explicit LookupLiarCache(std::shared_ptr<Cache> target)
|
|
|
|
: CacheWrapper(std::move(target)) {}
|
|
|
|
|
2021-05-14 05:57:51 +00:00
|
|
|
using Cache::Lookup;
|
2020-04-27 20:18:18 +00:00
|
|
|
Handle* Lookup(const Slice& key, Statistics* stats) override {
|
|
|
|
if (nth_lookup_not_found_ == 1) {
|
|
|
|
nth_lookup_not_found_ = 0;
|
|
|
|
return nullptr;
|
|
|
|
}
|
|
|
|
if (nth_lookup_not_found_ > 1) {
|
|
|
|
--nth_lookup_not_found_;
|
|
|
|
}
|
|
|
|
return CacheWrapper::Lookup(key, stats);
|
|
|
|
}
|
|
|
|
|
|
|
|
// 1 == next lookup, 2 == after next, etc.
|
|
|
|
void SetNthLookupNotFound(int n) { nth_lookup_not_found_ = n; }
|
|
|
|
};
|
|
|
|
|
|
|
|
} // anonymous namespace
|
|
|
|
|
|
|
|
TEST_F(DBBlockCacheTest, AddRedundantStats) {
|
|
|
|
const size_t capacity = size_t{1} << 25;
|
|
|
|
const int num_shard_bits = 0; // 1 shard
|
|
|
|
int iterations_tested = 0;
|
|
|
|
for (std::shared_ptr<Cache> base_cache :
|
|
|
|
{NewLRUCache(capacity, num_shard_bits),
|
2022-09-16 19:47:29 +00:00
|
|
|
HyperClockCacheOptions(
|
Revamp, optimize new experimental clock cache (#10626)
Summary:
* Consolidates most metadata into a single word per slot so that more
can be accomplished with a single atomic update. In the common case,
Lookup was previously about 4 atomic updates, now just 1 atomic update.
Common case Release was previously 1 atomic read + 1 atomic update,
now just 1 atomic update.
* Eliminate spins / waits / yields, which likely threaten some "lock free"
benefits. Compare-exchange loops are only used in explicit Erase, and
strict_capacity_limit=true Insert. Eviction uses opportunistic compare-
exchange.
* Relaxes some aggressiveness and guarantees. For example,
* Duplicate Inserts will sometimes go undetected and the shadow duplicate
will age out with eviction.
* In many cases, the older Inserted value for a given cache key will be kept
(i.e. Insert does not support overwrite).
* Entries explicitly erased (rather than evicted) might not be freed
immediately in some rare cases.
* With strict_capacity_limit=false, capacity limit is not tracked/enforced as
precisely as LRUCache, but is self-correcting and should only deviate by a
very small number of extra or fewer entries.
* Use smaller "computed default" number of cache shards in many cases,
because benefits to larger usage tracking / eviction pools outweigh the small
cost of more lock-free atomic contention. The improvement in CPU and I/O
is dramatic in some limit-memory cases.
* Even without the sharding change, the eviction algorithm is likely more
effective than LRU overall because it's more stateful, even though the
"hot path" state tracking for it is essentially free with ref counting. It
is like a generalized CLOCK with aging (see code comments). I don't have
performance numbers showing a specific improvement, but in theory, for a
Poisson access pattern to each block, keeping some state allows better
estimation of time to next access (Poisson interval) than strict LRU. The
bounded randomness in CLOCK can also reduce "cliff" effect for repeated
range scans approaching and exceeding cache size.
## Hot path algorithm comparison
Rough descriptions, focusing on number and kind of atomic operations:
* Old `Lookup()` (2-5 atomic updates per probe):
```
Loop:
Increment internal ref count at slot
If possible hit:
Check flags atomic (and non-atomic fields)
If cache hit:
Three distinct updates to 'flags' atomic
Increment refs for internal-to-external
Return
Decrement internal ref count
while atomic read 'displacements' > 0
```
* New `Lookup()` (1-2 atomic updates per probe):
```
Loop:
Increment acquire counter in meta word (optimistic)
If visible entry (already read meta word):
If match (read non-atomic fields):
Return
Else:
Decrement acquire counter in meta word
Else if invisible entry (rare, already read meta word):
Decrement acquire counter in meta word
while atomic read 'displacements' > 0
```
* Old `Release()` (1 atomic update, conditional on atomic read, rarely more):
```
Read atomic ref count
If last reference and invisible (rare):
Use CAS etc. to remove
Return
Else:
Decrement ref count
```
* New `Release()` (1 unconditional atomic update, rarely more):
```
Increment release counter in meta word
If last reference and invisible (rare):
Use CAS etc. to remove
Return
```
## Performance test setup
Build DB with
```
TEST_TMPDIR=/dev/shm ./db_bench -benchmarks=fillrandom -num=30000000 -disable_wal=1 -bloom_bits=16
```
Test with
```
TEST_TMPDIR=/dev/shm ./db_bench -benchmarks=readrandom -readonly -num=30000000 -bloom_bits=16 -cache_index_and_filter_blocks=1 -cache_size=${CACHE_MB}000000 -duration 60 -threads=$THREADS -statistics
```
Numbers on a single socket Skylake Xeon system with 48 hardware threads, DEBUG_LEVEL=0 PORTABLE=0. Very similar story on a dual socket system with 80 hardware threads. Using (every 2nd) Fibonacci MB cache sizes to sample the territory between powers of two. Configurations:
base: LRUCache before this change, but with db_bench change to default cache_numshardbits=-1 (instead of fixed at 6)
folly: LRUCache before this change, with folly enabled (distributed mutex) but on an old compiler (sorry)
gt_clock: experimental ClockCache before this change
new_clock: experimental ClockCache with this change
## Performance test results
First test "hot path" read performance, with block cache large enough for whole DB:
4181MB 1thread base -> kops/s: 47.761
4181MB 1thread folly -> kops/s: 45.877
4181MB 1thread gt_clock -> kops/s: 51.092
4181MB 1thread new_clock -> kops/s: 53.944
4181MB 16thread base -> kops/s: 284.567
4181MB 16thread folly -> kops/s: 249.015
4181MB 16thread gt_clock -> kops/s: 743.762
4181MB 16thread new_clock -> kops/s: 861.821
4181MB 24thread base -> kops/s: 303.415
4181MB 24thread folly -> kops/s: 266.548
4181MB 24thread gt_clock -> kops/s: 975.706
4181MB 24thread new_clock -> kops/s: 1205.64 (~= 24 * 53.944)
4181MB 32thread base -> kops/s: 311.251
4181MB 32thread folly -> kops/s: 274.952
4181MB 32thread gt_clock -> kops/s: 1045.98
4181MB 32thread new_clock -> kops/s: 1370.38
4181MB 48thread base -> kops/s: 310.504
4181MB 48thread folly -> kops/s: 268.322
4181MB 48thread gt_clock -> kops/s: 1195.65
4181MB 48thread new_clock -> kops/s: 1604.85 (~= 24 * 1.25 * 53.944)
4181MB 64thread base -> kops/s: 307.839
4181MB 64thread folly -> kops/s: 272.172
4181MB 64thread gt_clock -> kops/s: 1204.47
4181MB 64thread new_clock -> kops/s: 1615.37
4181MB 128thread base -> kops/s: 310.934
4181MB 128thread folly -> kops/s: 267.468
4181MB 128thread gt_clock -> kops/s: 1188.75
4181MB 128thread new_clock -> kops/s: 1595.46
Whether we have just one thread on a quiet system or an overload of threads, the new version wins every time in thousand-ops per second, sometimes dramatically so. Mutex-based implementation quickly becomes contention-limited. New clock cache shows essentially perfect scaling up to number of physical cores (24), and then each hyperthreaded core adding about 1/4 the throughput of an additional physical core (see 48 thread case). Block cache miss rates (omitted above) are negligible across the board. With partitioned instead of full filters, the maximum speed-up vs. base is more like 2.5x rather than 5x.
Now test a large block cache with low miss ratio, but some eviction is required:
1597MB 1thread base -> kops/s: 46.603 io_bytes/op: 1584.63 miss_ratio: 0.0201066 max_rss_mb: 1589.23
1597MB 1thread folly -> kops/s: 45.079 io_bytes/op: 1530.03 miss_ratio: 0.019872 max_rss_mb: 1550.43
1597MB 1thread gt_clock -> kops/s: 48.711 io_bytes/op: 1566.63 miss_ratio: 0.0198923 max_rss_mb: 1691.4
1597MB 1thread new_clock -> kops/s: 51.531 io_bytes/op: 1589.07 miss_ratio: 0.0201969 max_rss_mb: 1583.56
1597MB 32thread base -> kops/s: 301.174 io_bytes/op: 1439.52 miss_ratio: 0.0184218 max_rss_mb: 1656.59
1597MB 32thread folly -> kops/s: 273.09 io_bytes/op: 1375.12 miss_ratio: 0.0180002 max_rss_mb: 1586.8
1597MB 32thread gt_clock -> kops/s: 904.497 io_bytes/op: 1411.29 miss_ratio: 0.0179934 max_rss_mb: 1775.89
1597MB 32thread new_clock -> kops/s: 1182.59 io_bytes/op: 1440.77 miss_ratio: 0.0185449 max_rss_mb: 1636.45
1597MB 128thread base -> kops/s: 309.91 io_bytes/op: 1438.25 miss_ratio: 0.018399 max_rss_mb: 1689.98
1597MB 128thread folly -> kops/s: 267.605 io_bytes/op: 1394.16 miss_ratio: 0.0180286 max_rss_mb: 1631.91
1597MB 128thread gt_clock -> kops/s: 691.518 io_bytes/op: 9056.73 miss_ratio: 0.0186572 max_rss_mb: 1982.26
1597MB 128thread new_clock -> kops/s: 1406.12 io_bytes/op: 1440.82 miss_ratio: 0.0185463 max_rss_mb: 1685.63
610MB 1thread base -> kops/s: 45.511 io_bytes/op: 2279.61 miss_ratio: 0.0290528 max_rss_mb: 615.137
610MB 1thread folly -> kops/s: 43.386 io_bytes/op: 2217.29 miss_ratio: 0.0289282 max_rss_mb: 600.996
610MB 1thread gt_clock -> kops/s: 46.207 io_bytes/op: 2275.51 miss_ratio: 0.0290057 max_rss_mb: 637.934
610MB 1thread new_clock -> kops/s: 48.879 io_bytes/op: 2283.1 miss_ratio: 0.0291253 max_rss_mb: 613.5
610MB 32thread base -> kops/s: 306.59 io_bytes/op: 2250 miss_ratio: 0.0288721 max_rss_mb: 683.402
610MB 32thread folly -> kops/s: 269.176 io_bytes/op: 2187.86 miss_ratio: 0.0286938 max_rss_mb: 628.742
610MB 32thread gt_clock -> kops/s: 855.097 io_bytes/op: 2279.26 miss_ratio: 0.0288009 max_rss_mb: 733.062
610MB 32thread new_clock -> kops/s: 1121.47 io_bytes/op: 2244.29 miss_ratio: 0.0289046 max_rss_mb: 666.453
610MB 128thread base -> kops/s: 305.079 io_bytes/op: 2252.43 miss_ratio: 0.0288884 max_rss_mb: 723.457
610MB 128thread folly -> kops/s: 269.583 io_bytes/op: 2204.58 miss_ratio: 0.0287001 max_rss_mb: 676.426
610MB 128thread gt_clock -> kops/s: 53.298 io_bytes/op: 8128.98 miss_ratio: 0.0292452 max_rss_mb: 956.273
610MB 128thread new_clock -> kops/s: 1301.09 io_bytes/op: 2246.04 miss_ratio: 0.0289171 max_rss_mb: 788.812
The new version is still winning every time, sometimes dramatically so, and we can tell from the maximum resident memory numbers (which contain some noise, by the way) that the new cache is not cheating on memory usage. IMPORTANT: The previous generation experimental clock cache appears to hit a serious bottleneck in the higher thread count configurations, presumably due to some of its waiting functionality. (The same bottleneck is not seen with partitioned index+filters.)
Now we consider even smaller cache sizes, with higher miss ratios, eviction work, etc.
233MB 1thread base -> kops/s: 10.557 io_bytes/op: 227040 miss_ratio: 0.0403105 max_rss_mb: 247.371
233MB 1thread folly -> kops/s: 15.348 io_bytes/op: 112007 miss_ratio: 0.0372238 max_rss_mb: 245.293
233MB 1thread gt_clock -> kops/s: 6.365 io_bytes/op: 244854 miss_ratio: 0.0413873 max_rss_mb: 259.844
233MB 1thread new_clock -> kops/s: 47.501 io_bytes/op: 2591.93 miss_ratio: 0.0330989 max_rss_mb: 242.461
233MB 32thread base -> kops/s: 96.498 io_bytes/op: 363379 miss_ratio: 0.0459966 max_rss_mb: 479.227
233MB 32thread folly -> kops/s: 109.95 io_bytes/op: 314799 miss_ratio: 0.0450032 max_rss_mb: 400.738
233MB 32thread gt_clock -> kops/s: 2.353 io_bytes/op: 385397 miss_ratio: 0.048445 max_rss_mb: 500.688
233MB 32thread new_clock -> kops/s: 1088.95 io_bytes/op: 2567.02 miss_ratio: 0.0330593 max_rss_mb: 303.402
233MB 128thread base -> kops/s: 84.302 io_bytes/op: 378020 miss_ratio: 0.0466558 max_rss_mb: 1051.84
233MB 128thread folly -> kops/s: 89.921 io_bytes/op: 338242 miss_ratio: 0.0460309 max_rss_mb: 812.785
233MB 128thread gt_clock -> kops/s: 2.588 io_bytes/op: 462833 miss_ratio: 0.0509158 max_rss_mb: 1109.94
233MB 128thread new_clock -> kops/s: 1299.26 io_bytes/op: 2565.94 miss_ratio: 0.0330531 max_rss_mb: 361.016
89MB 1thread base -> kops/s: 0.574 io_bytes/op: 5.35977e+06 miss_ratio: 0.274427 max_rss_mb: 91.3086
89MB 1thread folly -> kops/s: 0.578 io_bytes/op: 5.16549e+06 miss_ratio: 0.27276 max_rss_mb: 96.8984
89MB 1thread gt_clock -> kops/s: 0.512 io_bytes/op: 4.13111e+06 miss_ratio: 0.242817 max_rss_mb: 119.441
89MB 1thread new_clock -> kops/s: 48.172 io_bytes/op: 2709.76 miss_ratio: 0.0346162 max_rss_mb: 100.754
89MB 32thread base -> kops/s: 5.779 io_bytes/op: 6.14192e+06 miss_ratio: 0.320399 max_rss_mb: 311.812
89MB 32thread folly -> kops/s: 5.601 io_bytes/op: 5.83838e+06 miss_ratio: 0.313123 max_rss_mb: 252.418
89MB 32thread gt_clock -> kops/s: 0.77 io_bytes/op: 3.99236e+06 miss_ratio: 0.236296 max_rss_mb: 396.422
89MB 32thread new_clock -> kops/s: 1064.97 io_bytes/op: 2687.23 miss_ratio: 0.0346134 max_rss_mb: 155.293
89MB 128thread base -> kops/s: 4.959 io_bytes/op: 6.20297e+06 miss_ratio: 0.323945 max_rss_mb: 823.43
89MB 128thread folly -> kops/s: 4.962 io_bytes/op: 5.9601e+06 miss_ratio: 0.319857 max_rss_mb: 626.824
89MB 128thread gt_clock -> kops/s: 1.009 io_bytes/op: 4.1083e+06 miss_ratio: 0.242512 max_rss_mb: 1095.32
89MB 128thread new_clock -> kops/s: 1224.39 io_bytes/op: 2688.2 miss_ratio: 0.0346207 max_rss_mb: 218.223
^ Now something interesting has happened: the new clock cache has gained a dramatic lead in the single-threaded case, and this is because the cache is so small, and full filters are so big, that dividing the cache into 64 shards leads to significant (random) imbalances in cache shards and excessive churn in imbalanced shards. This new clock cache only uses two shards for this configuration, and that helps to ensure that entries are part of a sufficiently big pool that their eviction order resembles the single-shard order. (This effect is not seen with partitioned index+filters.)
Even smaller cache size:
34MB 1thread base -> kops/s: 0.198 io_bytes/op: 1.65342e+07 miss_ratio: 0.939466 max_rss_mb: 48.6914
34MB 1thread folly -> kops/s: 0.201 io_bytes/op: 1.63416e+07 miss_ratio: 0.939081 max_rss_mb: 45.3281
34MB 1thread gt_clock -> kops/s: 0.448 io_bytes/op: 4.43957e+06 miss_ratio: 0.266749 max_rss_mb: 100.523
34MB 1thread new_clock -> kops/s: 1.055 io_bytes/op: 1.85439e+06 miss_ratio: 0.107512 max_rss_mb: 75.3125
34MB 32thread base -> kops/s: 3.346 io_bytes/op: 1.64852e+07 miss_ratio: 0.93596 max_rss_mb: 180.48
34MB 32thread folly -> kops/s: 3.431 io_bytes/op: 1.62857e+07 miss_ratio: 0.935693 max_rss_mb: 137.531
34MB 32thread gt_clock -> kops/s: 1.47 io_bytes/op: 4.89704e+06 miss_ratio: 0.295081 max_rss_mb: 392.465
34MB 32thread new_clock -> kops/s: 8.19 io_bytes/op: 3.70456e+06 miss_ratio: 0.20826 max_rss_mb: 519.793
34MB 128thread base -> kops/s: 2.293 io_bytes/op: 1.64351e+07 miss_ratio: 0.931866 max_rss_mb: 449.484
34MB 128thread folly -> kops/s: 2.34 io_bytes/op: 1.6219e+07 miss_ratio: 0.932023 max_rss_mb: 396.457
34MB 128thread gt_clock -> kops/s: 1.798 io_bytes/op: 5.4241e+06 miss_ratio: 0.324881 max_rss_mb: 1104.41
34MB 128thread new_clock -> kops/s: 10.519 io_bytes/op: 2.39354e+06 miss_ratio: 0.136147 max_rss_mb: 1050.52
As the miss ratio gets higher (say, above 10%), the CPU time spent in eviction starts to erode the advantage of using fewer shards (13% miss rate much lower than 94%). LRU's O(1) eviction time can eventually pay off when there's enough block cache churn:
13MB 1thread base -> kops/s: 0.195 io_bytes/op: 1.65732e+07 miss_ratio: 0.946604 max_rss_mb: 45.6328
13MB 1thread folly -> kops/s: 0.197 io_bytes/op: 1.63793e+07 miss_ratio: 0.94661 max_rss_mb: 33.8633
13MB 1thread gt_clock -> kops/s: 0.519 io_bytes/op: 4.43316e+06 miss_ratio: 0.269379 max_rss_mb: 100.684
13MB 1thread new_clock -> kops/s: 0.176 io_bytes/op: 1.54148e+07 miss_ratio: 0.91545 max_rss_mb: 66.2383
13MB 32thread base -> kops/s: 3.266 io_bytes/op: 1.65544e+07 miss_ratio: 0.943386 max_rss_mb: 132.492
13MB 32thread folly -> kops/s: 3.396 io_bytes/op: 1.63142e+07 miss_ratio: 0.943243 max_rss_mb: 101.863
13MB 32thread gt_clock -> kops/s: 2.758 io_bytes/op: 5.13714e+06 miss_ratio: 0.310652 max_rss_mb: 396.121
13MB 32thread new_clock -> kops/s: 3.11 io_bytes/op: 1.23419e+07 miss_ratio: 0.708425 max_rss_mb: 321.758
13MB 128thread base -> kops/s: 2.31 io_bytes/op: 1.64823e+07 miss_ratio: 0.939543 max_rss_mb: 425.539
13MB 128thread folly -> kops/s: 2.339 io_bytes/op: 1.6242e+07 miss_ratio: 0.939966 max_rss_mb: 346.098
13MB 128thread gt_clock -> kops/s: 3.223 io_bytes/op: 5.76928e+06 miss_ratio: 0.345899 max_rss_mb: 1087.77
13MB 128thread new_clock -> kops/s: 2.984 io_bytes/op: 1.05341e+07 miss_ratio: 0.606198 max_rss_mb: 898.27
gt_clock is clearly blowing way past its memory budget for lower miss rates and best throughput. new_clock also seems to be exceeding budgets, and this warrants more investigation but is not the use case we are targeting with the new cache. With partitioned index+filter, the miss ratio is much better, and although still high enough that the eviction CPU time is definitely offsetting mutex contention:
13MB 1thread base -> kops/s: 16.326 io_bytes/op: 23743.9 miss_ratio: 0.205362 max_rss_mb: 65.2852
13MB 1thread folly -> kops/s: 15.574 io_bytes/op: 19415 miss_ratio: 0.184157 max_rss_mb: 56.3516
13MB 1thread gt_clock -> kops/s: 14.459 io_bytes/op: 22873 miss_ratio: 0.198355 max_rss_mb: 63.9688
13MB 1thread new_clock -> kops/s: 16.34 io_bytes/op: 24386.5 miss_ratio: 0.210512 max_rss_mb: 61.707
13MB 128thread base -> kops/s: 289.786 io_bytes/op: 23710.9 miss_ratio: 0.205056 max_rss_mb: 103.57
13MB 128thread folly -> kops/s: 185.282 io_bytes/op: 19433.1 miss_ratio: 0.184275 max_rss_mb: 116.219
13MB 128thread gt_clock -> kops/s: 354.451 io_bytes/op: 23150.6 miss_ratio: 0.200495 max_rss_mb: 102.871
13MB 128thread new_clock -> kops/s: 295.359 io_bytes/op: 24626.4 miss_ratio: 0.212452 max_rss_mb: 121.109
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10626
Test Plan: updated unit tests, stress/crash test runs including with TSAN, ASAN, UBSAN
Reviewed By: anand1976
Differential Revision: D39368406
Pulled By: pdillinger
fbshipit-source-id: 5afc44da4c656f8f751b44552bbf27bd3ca6fef9
2022-09-16 07:24:11 +00:00
|
|
|
capacity,
|
|
|
|
BlockBasedTableOptions().block_size /*estimated_value_size*/,
|
2022-09-16 19:47:29 +00:00
|
|
|
num_shard_bits)
|
2022-11-16 18:15:55 +00:00
|
|
|
.MakeSharedCache()}) {
|
2020-04-27 20:18:18 +00:00
|
|
|
if (!base_cache) {
|
|
|
|
// Skip clock cache when not supported
|
|
|
|
continue;
|
|
|
|
}
|
|
|
|
++iterations_tested;
|
|
|
|
Options options = CurrentOptions();
|
|
|
|
options.create_if_missing = true;
|
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
|
|
|
|
std::shared_ptr<LookupLiarCache> cache =
|
|
|
|
std::make_shared<LookupLiarCache>(base_cache);
|
|
|
|
|
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.cache_index_and_filter_blocks = true;
|
|
|
|
table_options.block_cache = cache;
|
|
|
|
table_options.filter_policy.reset(NewBloomFilterPolicy(50));
|
2020-09-14 23:59:00 +00:00
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2020-04-27 20:18:18 +00:00
|
|
|
DestroyAndReopen(options);
|
|
|
|
|
|
|
|
// Create a new table.
|
|
|
|
ASSERT_OK(Put("foo", "value"));
|
|
|
|
ASSERT_OK(Put("bar", "value"));
|
|
|
|
ASSERT_OK(Flush());
|
|
|
|
ASSERT_EQ(1, NumTableFilesAtLevel(0));
|
|
|
|
|
|
|
|
// Normal access filter+index+data.
|
|
|
|
ASSERT_EQ("value", Get("foo"));
|
|
|
|
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_INDEX_ADD));
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_FILTER_ADD));
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_DATA_ADD));
|
|
|
|
// --------
|
|
|
|
ASSERT_EQ(3, TestGetTickerCount(options, BLOCK_CACHE_ADD));
|
|
|
|
|
|
|
|
ASSERT_EQ(0, TestGetTickerCount(options, BLOCK_CACHE_INDEX_ADD_REDUNDANT));
|
|
|
|
ASSERT_EQ(0, TestGetTickerCount(options, BLOCK_CACHE_FILTER_ADD_REDUNDANT));
|
|
|
|
ASSERT_EQ(0, TestGetTickerCount(options, BLOCK_CACHE_DATA_ADD_REDUNDANT));
|
|
|
|
// --------
|
|
|
|
ASSERT_EQ(0, TestGetTickerCount(options, BLOCK_CACHE_ADD_REDUNDANT));
|
|
|
|
|
|
|
|
// Againt access filter+index+data, but force redundant load+insert on index
|
|
|
|
cache->SetNthLookupNotFound(2);
|
|
|
|
ASSERT_EQ("value", Get("bar"));
|
|
|
|
|
|
|
|
ASSERT_EQ(2, TestGetTickerCount(options, BLOCK_CACHE_INDEX_ADD));
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_FILTER_ADD));
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_DATA_ADD));
|
|
|
|
// --------
|
|
|
|
ASSERT_EQ(4, TestGetTickerCount(options, BLOCK_CACHE_ADD));
|
|
|
|
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_INDEX_ADD_REDUNDANT));
|
|
|
|
ASSERT_EQ(0, TestGetTickerCount(options, BLOCK_CACHE_FILTER_ADD_REDUNDANT));
|
|
|
|
ASSERT_EQ(0, TestGetTickerCount(options, BLOCK_CACHE_DATA_ADD_REDUNDANT));
|
|
|
|
// --------
|
|
|
|
ASSERT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_ADD_REDUNDANT));
|
|
|
|
|
|
|
|
// Access just filter (with high probability), and force redundant
|
|
|
|
// load+insert
|
|
|
|
cache->SetNthLookupNotFound(1);
|
|
|
|
ASSERT_EQ("NOT_FOUND", Get("this key was not added"));
|
|
|
|
|
|
|
|
EXPECT_EQ(2, TestGetTickerCount(options, BLOCK_CACHE_INDEX_ADD));
|
|
|
|
EXPECT_EQ(2, TestGetTickerCount(options, BLOCK_CACHE_FILTER_ADD));
|
|
|
|
EXPECT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_DATA_ADD));
|
|
|
|
// --------
|
|
|
|
EXPECT_EQ(5, TestGetTickerCount(options, BLOCK_CACHE_ADD));
|
|
|
|
|
|
|
|
EXPECT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_INDEX_ADD_REDUNDANT));
|
|
|
|
EXPECT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_FILTER_ADD_REDUNDANT));
|
|
|
|
EXPECT_EQ(0, TestGetTickerCount(options, BLOCK_CACHE_DATA_ADD_REDUNDANT));
|
|
|
|
// --------
|
|
|
|
EXPECT_EQ(2, TestGetTickerCount(options, BLOCK_CACHE_ADD_REDUNDANT));
|
|
|
|
|
|
|
|
// Access just data, forcing redundant load+insert
|
|
|
|
ReadOptions read_options;
|
|
|
|
std::unique_ptr<Iterator> iter{db_->NewIterator(read_options)};
|
|
|
|
cache->SetNthLookupNotFound(1);
|
|
|
|
iter->SeekToFirst();
|
|
|
|
ASSERT_TRUE(iter->Valid());
|
|
|
|
ASSERT_EQ(iter->key(), "bar");
|
|
|
|
|
|
|
|
EXPECT_EQ(2, TestGetTickerCount(options, BLOCK_CACHE_INDEX_ADD));
|
|
|
|
EXPECT_EQ(2, TestGetTickerCount(options, BLOCK_CACHE_FILTER_ADD));
|
|
|
|
EXPECT_EQ(2, TestGetTickerCount(options, BLOCK_CACHE_DATA_ADD));
|
|
|
|
// --------
|
|
|
|
EXPECT_EQ(6, TestGetTickerCount(options, BLOCK_CACHE_ADD));
|
|
|
|
|
|
|
|
EXPECT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_INDEX_ADD_REDUNDANT));
|
|
|
|
EXPECT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_FILTER_ADD_REDUNDANT));
|
|
|
|
EXPECT_EQ(1, TestGetTickerCount(options, BLOCK_CACHE_DATA_ADD_REDUNDANT));
|
|
|
|
// --------
|
|
|
|
EXPECT_EQ(3, TestGetTickerCount(options, BLOCK_CACHE_ADD_REDUNDANT));
|
|
|
|
}
|
|
|
|
EXPECT_GE(iterations_tested, 1);
|
|
|
|
}
|
|
|
|
|
2016-04-18 16:42:50 +00:00
|
|
|
TEST_F(DBBlockCacheTest, ParanoidFileChecks) {
|
|
|
|
Options options = CurrentOptions();
|
|
|
|
options.create_if_missing = true;
|
2020-02-20 20:07:53 +00:00
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
2016-04-18 16:42:50 +00:00
|
|
|
options.level0_file_num_compaction_trigger = 2;
|
|
|
|
options.paranoid_file_checks = true;
|
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.cache_index_and_filter_blocks = false;
|
|
|
|
table_options.filter_policy.reset(NewBloomFilterPolicy(20));
|
2020-09-14 23:59:00 +00:00
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2016-04-18 16:42:50 +00:00
|
|
|
CreateAndReopenWithCF({"pikachu"}, options);
|
|
|
|
|
|
|
|
ASSERT_OK(Put(1, "1_key", "val"));
|
|
|
|
ASSERT_OK(Put(1, "9_key", "val"));
|
|
|
|
// Create a new table.
|
|
|
|
ASSERT_OK(Flush(1));
|
|
|
|
ASSERT_EQ(1, /* read and cache data block */
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_ADD));
|
|
|
|
|
|
|
|
ASSERT_OK(Put(1, "1_key2", "val2"));
|
|
|
|
ASSERT_OK(Put(1, "9_key2", "val2"));
|
|
|
|
// Create a new SST file. This will further trigger a compaction
|
|
|
|
// and generate another file.
|
|
|
|
ASSERT_OK(Flush(1));
|
2020-12-10 05:19:55 +00:00
|
|
|
ASSERT_OK(dbfull()->TEST_WaitForCompact());
|
2016-04-18 16:42:50 +00:00
|
|
|
ASSERT_EQ(3, /* Totally 3 files created up to now */
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_ADD));
|
|
|
|
|
|
|
|
// After disabling options.paranoid_file_checks. NO further block
|
|
|
|
// is added after generating a new file.
|
|
|
|
ASSERT_OK(
|
|
|
|
dbfull()->SetOptions(handles_[1], {{"paranoid_file_checks", "false"}}));
|
|
|
|
|
|
|
|
ASSERT_OK(Put(1, "1_key3", "val3"));
|
|
|
|
ASSERT_OK(Put(1, "9_key3", "val3"));
|
|
|
|
ASSERT_OK(Flush(1));
|
|
|
|
ASSERT_OK(Put(1, "1_key4", "val4"));
|
|
|
|
ASSERT_OK(Put(1, "9_key4", "val4"));
|
|
|
|
ASSERT_OK(Flush(1));
|
2020-12-10 05:19:55 +00:00
|
|
|
ASSERT_OK(dbfull()->TEST_WaitForCompact());
|
2016-04-18 16:42:50 +00:00
|
|
|
ASSERT_EQ(3, /* Totally 3 files created up to now */
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_ADD));
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_F(DBBlockCacheTest, CompressedCache) {
|
|
|
|
if (!Snappy_Supported()) {
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
int num_iter = 80;
|
|
|
|
|
|
|
|
// Run this test three iterations.
|
|
|
|
// Iteration 1: only a uncompressed block cache
|
|
|
|
// Iteration 2: only a compressed block cache
|
|
|
|
// Iteration 3: both block cache and compressed cache
|
|
|
|
// Iteration 4: both block cache and compressed cache, but DB is not
|
|
|
|
// compressed
|
|
|
|
for (int iter = 0; iter < 4; iter++) {
|
|
|
|
Options options = CurrentOptions();
|
|
|
|
options.write_buffer_size = 64 * 1024; // small write buffer
|
2020-02-20 20:07:53 +00:00
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
2016-04-18 16:42:50 +00:00
|
|
|
|
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
switch (iter) {
|
|
|
|
case 0:
|
|
|
|
// only uncompressed block cache
|
|
|
|
table_options.block_cache = NewLRUCache(8 * 1024);
|
|
|
|
table_options.block_cache_compressed = nullptr;
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
break;
|
|
|
|
case 1:
|
|
|
|
// no block cache, only compressed cache
|
|
|
|
table_options.no_block_cache = true;
|
|
|
|
table_options.block_cache = nullptr;
|
|
|
|
table_options.block_cache_compressed = NewLRUCache(8 * 1024);
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
break;
|
|
|
|
case 2:
|
|
|
|
// both compressed and uncompressed block cache
|
|
|
|
table_options.block_cache = NewLRUCache(1024);
|
|
|
|
table_options.block_cache_compressed = NewLRUCache(8 * 1024);
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
break;
|
|
|
|
case 3:
|
|
|
|
// both block cache and compressed cache, but DB is not compressed
|
|
|
|
// also, make block cache sizes bigger, to trigger block cache hits
|
|
|
|
table_options.block_cache = NewLRUCache(1024 * 1024);
|
|
|
|
table_options.block_cache_compressed = NewLRUCache(8 * 1024 * 1024);
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
options.compression = kNoCompression;
|
|
|
|
break;
|
|
|
|
default:
|
2017-07-17 04:23:33 +00:00
|
|
|
FAIL();
|
2016-04-18 16:42:50 +00:00
|
|
|
}
|
|
|
|
CreateAndReopenWithCF({"pikachu"}, options);
|
|
|
|
// default column family doesn't have block cache
|
|
|
|
Options no_block_cache_opts;
|
|
|
|
no_block_cache_opts.statistics = options.statistics;
|
|
|
|
no_block_cache_opts = CurrentOptions(no_block_cache_opts);
|
|
|
|
BlockBasedTableOptions table_options_no_bc;
|
|
|
|
table_options_no_bc.no_block_cache = true;
|
|
|
|
no_block_cache_opts.table_factory.reset(
|
|
|
|
NewBlockBasedTableFactory(table_options_no_bc));
|
|
|
|
ReopenWithColumnFamilies(
|
|
|
|
{"default", "pikachu"},
|
|
|
|
std::vector<Options>({no_block_cache_opts, options}));
|
|
|
|
|
|
|
|
Random rnd(301);
|
|
|
|
|
|
|
|
// Write 8MB (80 values, each 100K)
|
|
|
|
ASSERT_EQ(NumTableFilesAtLevel(0, 1), 0);
|
|
|
|
std::vector<std::string> values;
|
|
|
|
std::string str;
|
|
|
|
for (int i = 0; i < num_iter; i++) {
|
|
|
|
if (i % 4 == 0) { // high compression ratio
|
2020-07-09 21:33:42 +00:00
|
|
|
str = rnd.RandomString(1000);
|
2016-04-18 16:42:50 +00:00
|
|
|
}
|
|
|
|
values.push_back(str);
|
|
|
|
ASSERT_OK(Put(1, Key(i), values[i]));
|
|
|
|
}
|
|
|
|
|
|
|
|
// flush all data from memtable so that reads are from block cache
|
|
|
|
ASSERT_OK(Flush(1));
|
|
|
|
|
|
|
|
for (int i = 0; i < num_iter; i++) {
|
|
|
|
ASSERT_EQ(Get(1, Key(i)), values[i]);
|
|
|
|
}
|
|
|
|
|
|
|
|
// check that we triggered the appropriate code paths in the cache
|
|
|
|
switch (iter) {
|
|
|
|
case 0:
|
|
|
|
// only uncompressed block cache
|
|
|
|
ASSERT_GT(TestGetTickerCount(options, BLOCK_CACHE_MISS), 0);
|
|
|
|
ASSERT_EQ(TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_MISS), 0);
|
|
|
|
break;
|
|
|
|
case 1:
|
|
|
|
// no block cache, only compressed cache
|
|
|
|
ASSERT_EQ(TestGetTickerCount(options, BLOCK_CACHE_MISS), 0);
|
|
|
|
ASSERT_GT(TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_MISS), 0);
|
|
|
|
break;
|
|
|
|
case 2:
|
|
|
|
// both compressed and uncompressed block cache
|
|
|
|
ASSERT_GT(TestGetTickerCount(options, BLOCK_CACHE_MISS), 0);
|
|
|
|
ASSERT_GT(TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_MISS), 0);
|
|
|
|
break;
|
|
|
|
case 3:
|
|
|
|
// both compressed and uncompressed block cache
|
|
|
|
ASSERT_GT(TestGetTickerCount(options, BLOCK_CACHE_MISS), 0);
|
|
|
|
ASSERT_GT(TestGetTickerCount(options, BLOCK_CACHE_HIT), 0);
|
|
|
|
ASSERT_GT(TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_MISS), 0);
|
|
|
|
// compressed doesn't have any hits since blocks are not compressed on
|
|
|
|
// storage
|
|
|
|
ASSERT_EQ(TestGetTickerCount(options, BLOCK_CACHE_COMPRESSED_HIT), 0);
|
|
|
|
break;
|
|
|
|
default:
|
2017-07-17 04:23:33 +00:00
|
|
|
FAIL();
|
2016-04-18 16:42:50 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
options.create_if_missing = true;
|
|
|
|
DestroyAndReopen(options);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2019-01-24 02:11:08 +00:00
|
|
|
TEST_F(DBBlockCacheTest, CacheCompressionDict) {
|
|
|
|
const int kNumFiles = 4;
|
Reduce scope of compression dictionary to single SST (#4952)
Summary:
Our previous approach was to train one compression dictionary per compaction, using the first output SST to train a dictionary, and then applying it on subsequent SSTs in the same compaction. While this was great for minimizing CPU/memory/I/O overhead, it did not achieve good compression ratios in practice. In our most promising potential use case, moderate reductions in a dictionary's scope make a major difference on compression ratio.
So, this PR changes compression dictionary to be scoped per-SST. It accepts the tradeoff during table building to use more memory and CPU. Important changes include:
- The `BlockBasedTableBuilder` has a new state when dictionary compression is in-use: `kBuffered`. In that state it accumulates uncompressed data in-memory whenever `Add` is called.
- After accumulating target file size bytes or calling `BlockBasedTableBuilder::Finish`, a `BlockBasedTableBuilder` moves to the `kUnbuffered` state. The transition (`EnterUnbuffered()`) involves sampling the buffered data, training a dictionary, and compressing/writing out all buffered data. In the `kUnbuffered` state, a `BlockBasedTableBuilder` behaves the same as before -- blocks are compressed/written out as soon as they fill up.
- Samples are now whole uncompressed data blocks, except the final sample may be a partial data block so we don't breach the user's configured `max_dict_bytes` or `zstd_max_train_bytes`. The dictionary trainer is supposed to work better when we pass it real units of compression. Previously we were passing 64-byte KV samples which was not realistic.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4952
Differential Revision: D13967980
Pulled By: ajkr
fbshipit-source-id: 82bea6f7537e1529c7a1a4cdee84585f5949300f
2019-02-12 03:42:25 +00:00
|
|
|
const int kNumEntriesPerFile = 128;
|
2019-01-24 02:11:08 +00:00
|
|
|
const int kNumBytesPerEntry = 1024;
|
|
|
|
|
|
|
|
// Try all the available libraries that support dictionary compression
|
|
|
|
std::vector<CompressionType> compression_types;
|
2019-12-17 21:52:09 +00:00
|
|
|
if (Zlib_Supported()) {
|
|
|
|
compression_types.push_back(kZlibCompression);
|
|
|
|
}
|
|
|
|
if (LZ4_Supported()) {
|
|
|
|
compression_types.push_back(kLZ4Compression);
|
|
|
|
compression_types.push_back(kLZ4HCCompression);
|
|
|
|
}
|
|
|
|
if (ZSTD_Supported()) {
|
|
|
|
compression_types.push_back(kZSTD);
|
|
|
|
} else if (ZSTDNotFinal_Supported()) {
|
|
|
|
compression_types.push_back(kZSTDNotFinalCompression);
|
|
|
|
}
|
2019-01-24 02:11:08 +00:00
|
|
|
Random rnd(301);
|
|
|
|
for (auto compression_type : compression_types) {
|
|
|
|
Options options = CurrentOptions();
|
2020-11-03 03:20:15 +00:00
|
|
|
options.bottommost_compression = compression_type;
|
|
|
|
options.bottommost_compression_opts.max_dict_bytes = 4096;
|
|
|
|
options.bottommost_compression_opts.enabled = true;
|
2019-01-24 02:11:08 +00:00
|
|
|
options.create_if_missing = true;
|
|
|
|
options.num_levels = 2;
|
2020-02-20 20:07:53 +00:00
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
2019-01-24 02:11:08 +00:00
|
|
|
options.target_file_size_base = kNumEntriesPerFile * kNumBytesPerEntry;
|
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.cache_index_and_filter_blocks = true;
|
|
|
|
table_options.block_cache.reset(new MockCache());
|
2020-09-14 23:59:00 +00:00
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
2019-01-24 02:11:08 +00:00
|
|
|
DestroyAndReopen(options);
|
|
|
|
|
2019-07-23 22:57:43 +00:00
|
|
|
RecordCacheCountersForCompressionDict(options);
|
|
|
|
|
2019-01-24 02:11:08 +00:00
|
|
|
for (int i = 0; i < kNumFiles; ++i) {
|
|
|
|
ASSERT_EQ(i, NumTableFilesAtLevel(0, 0));
|
|
|
|
for (int j = 0; j < kNumEntriesPerFile; ++j) {
|
2020-07-09 21:33:42 +00:00
|
|
|
std::string value = rnd.RandomString(kNumBytesPerEntry);
|
2019-01-24 02:11:08 +00:00
|
|
|
ASSERT_OK(Put(Key(j * kNumFiles + i), value.c_str()));
|
|
|
|
}
|
|
|
|
ASSERT_OK(Flush());
|
|
|
|
}
|
2020-12-10 05:19:55 +00:00
|
|
|
ASSERT_OK(dbfull()->TEST_WaitForCompact());
|
2019-01-24 02:11:08 +00:00
|
|
|
ASSERT_EQ(0, NumTableFilesAtLevel(0));
|
|
|
|
ASSERT_EQ(kNumFiles, NumTableFilesAtLevel(1));
|
|
|
|
|
2019-07-23 22:57:43 +00:00
|
|
|
// Compression dictionary blocks are preloaded.
|
|
|
|
CheckCacheCountersForCompressionDict(
|
|
|
|
options, kNumFiles /* expected_compression_dict_misses */,
|
|
|
|
0 /* expected_compression_dict_hits */,
|
|
|
|
kNumFiles /* expected_compression_dict_inserts */);
|
|
|
|
|
2019-01-24 02:11:08 +00:00
|
|
|
// Seek to a key in a file. It should cause the SST's dictionary meta-block
|
|
|
|
// to be read.
|
|
|
|
RecordCacheCounters(options);
|
2019-07-23 22:57:43 +00:00
|
|
|
RecordCacheCountersForCompressionDict(options);
|
2019-01-24 02:11:08 +00:00
|
|
|
ReadOptions read_options;
|
|
|
|
ASSERT_NE("NOT_FOUND", Get(Key(kNumFiles * kNumEntriesPerFile - 1)));
|
2019-07-23 22:57:43 +00:00
|
|
|
// Two block hits: index and dictionary since they are prefetched
|
|
|
|
// One block missed/added: data block
|
|
|
|
CheckCacheCounters(options, 1 /* expected_misses */, 2 /* expected_hits */,
|
|
|
|
1 /* expected_inserts */, 0 /* expected_failures */);
|
|
|
|
CheckCacheCountersForCompressionDict(
|
|
|
|
options, 0 /* expected_compression_dict_misses */,
|
|
|
|
1 /* expected_compression_dict_hits */,
|
|
|
|
0 /* expected_compression_dict_inserts */);
|
2019-01-24 02:11:08 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
static void ClearCache(Cache* cache) {
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
auto roles = CopyCacheDeleterRoleMap();
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
std::deque<std::string> keys;
|
|
|
|
Cache::ApplyToAllEntriesOptions opts;
|
|
|
|
auto callback = [&](const Slice& key, void* /*value*/, size_t /*charge*/,
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
Cache::DeleterFn deleter) {
|
|
|
|
if (roles.find(deleter) == roles.end()) {
|
|
|
|
// Keep the stats collector
|
|
|
|
return;
|
|
|
|
}
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
keys.push_back(key.ToString());
|
|
|
|
};
|
|
|
|
cache->ApplyToAllEntries(callback, opts);
|
|
|
|
for (auto& k : keys) {
|
|
|
|
cache->Erase(k);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_F(DBBlockCacheTest, CacheEntryRoleStats) {
|
|
|
|
const size_t capacity = size_t{1} << 25;
|
|
|
|
int iterations_tested = 0;
|
|
|
|
for (bool partition : {false, true}) {
|
2022-08-10 20:57:52 +00:00
|
|
|
for (std::shared_ptr<Cache> cache :
|
|
|
|
{NewLRUCache(capacity),
|
2022-09-16 19:47:29 +00:00
|
|
|
HyperClockCacheOptions(
|
Revamp, optimize new experimental clock cache (#10626)
Summary:
* Consolidates most metadata into a single word per slot so that more
can be accomplished with a single atomic update. In the common case,
Lookup was previously about 4 atomic updates, now just 1 atomic update.
Common case Release was previously 1 atomic read + 1 atomic update,
now just 1 atomic update.
* Eliminate spins / waits / yields, which likely threaten some "lock free"
benefits. Compare-exchange loops are only used in explicit Erase, and
strict_capacity_limit=true Insert. Eviction uses opportunistic compare-
exchange.
* Relaxes some aggressiveness and guarantees. For example,
* Duplicate Inserts will sometimes go undetected and the shadow duplicate
will age out with eviction.
* In many cases, the older Inserted value for a given cache key will be kept
(i.e. Insert does not support overwrite).
* Entries explicitly erased (rather than evicted) might not be freed
immediately in some rare cases.
* With strict_capacity_limit=false, capacity limit is not tracked/enforced as
precisely as LRUCache, but is self-correcting and should only deviate by a
very small number of extra or fewer entries.
* Use smaller "computed default" number of cache shards in many cases,
because benefits to larger usage tracking / eviction pools outweigh the small
cost of more lock-free atomic contention. The improvement in CPU and I/O
is dramatic in some limit-memory cases.
* Even without the sharding change, the eviction algorithm is likely more
effective than LRU overall because it's more stateful, even though the
"hot path" state tracking for it is essentially free with ref counting. It
is like a generalized CLOCK with aging (see code comments). I don't have
performance numbers showing a specific improvement, but in theory, for a
Poisson access pattern to each block, keeping some state allows better
estimation of time to next access (Poisson interval) than strict LRU. The
bounded randomness in CLOCK can also reduce "cliff" effect for repeated
range scans approaching and exceeding cache size.
## Hot path algorithm comparison
Rough descriptions, focusing on number and kind of atomic operations:
* Old `Lookup()` (2-5 atomic updates per probe):
```
Loop:
Increment internal ref count at slot
If possible hit:
Check flags atomic (and non-atomic fields)
If cache hit:
Three distinct updates to 'flags' atomic
Increment refs for internal-to-external
Return
Decrement internal ref count
while atomic read 'displacements' > 0
```
* New `Lookup()` (1-2 atomic updates per probe):
```
Loop:
Increment acquire counter in meta word (optimistic)
If visible entry (already read meta word):
If match (read non-atomic fields):
Return
Else:
Decrement acquire counter in meta word
Else if invisible entry (rare, already read meta word):
Decrement acquire counter in meta word
while atomic read 'displacements' > 0
```
* Old `Release()` (1 atomic update, conditional on atomic read, rarely more):
```
Read atomic ref count
If last reference and invisible (rare):
Use CAS etc. to remove
Return
Else:
Decrement ref count
```
* New `Release()` (1 unconditional atomic update, rarely more):
```
Increment release counter in meta word
If last reference and invisible (rare):
Use CAS etc. to remove
Return
```
## Performance test setup
Build DB with
```
TEST_TMPDIR=/dev/shm ./db_bench -benchmarks=fillrandom -num=30000000 -disable_wal=1 -bloom_bits=16
```
Test with
```
TEST_TMPDIR=/dev/shm ./db_bench -benchmarks=readrandom -readonly -num=30000000 -bloom_bits=16 -cache_index_and_filter_blocks=1 -cache_size=${CACHE_MB}000000 -duration 60 -threads=$THREADS -statistics
```
Numbers on a single socket Skylake Xeon system with 48 hardware threads, DEBUG_LEVEL=0 PORTABLE=0. Very similar story on a dual socket system with 80 hardware threads. Using (every 2nd) Fibonacci MB cache sizes to sample the territory between powers of two. Configurations:
base: LRUCache before this change, but with db_bench change to default cache_numshardbits=-1 (instead of fixed at 6)
folly: LRUCache before this change, with folly enabled (distributed mutex) but on an old compiler (sorry)
gt_clock: experimental ClockCache before this change
new_clock: experimental ClockCache with this change
## Performance test results
First test "hot path" read performance, with block cache large enough for whole DB:
4181MB 1thread base -> kops/s: 47.761
4181MB 1thread folly -> kops/s: 45.877
4181MB 1thread gt_clock -> kops/s: 51.092
4181MB 1thread new_clock -> kops/s: 53.944
4181MB 16thread base -> kops/s: 284.567
4181MB 16thread folly -> kops/s: 249.015
4181MB 16thread gt_clock -> kops/s: 743.762
4181MB 16thread new_clock -> kops/s: 861.821
4181MB 24thread base -> kops/s: 303.415
4181MB 24thread folly -> kops/s: 266.548
4181MB 24thread gt_clock -> kops/s: 975.706
4181MB 24thread new_clock -> kops/s: 1205.64 (~= 24 * 53.944)
4181MB 32thread base -> kops/s: 311.251
4181MB 32thread folly -> kops/s: 274.952
4181MB 32thread gt_clock -> kops/s: 1045.98
4181MB 32thread new_clock -> kops/s: 1370.38
4181MB 48thread base -> kops/s: 310.504
4181MB 48thread folly -> kops/s: 268.322
4181MB 48thread gt_clock -> kops/s: 1195.65
4181MB 48thread new_clock -> kops/s: 1604.85 (~= 24 * 1.25 * 53.944)
4181MB 64thread base -> kops/s: 307.839
4181MB 64thread folly -> kops/s: 272.172
4181MB 64thread gt_clock -> kops/s: 1204.47
4181MB 64thread new_clock -> kops/s: 1615.37
4181MB 128thread base -> kops/s: 310.934
4181MB 128thread folly -> kops/s: 267.468
4181MB 128thread gt_clock -> kops/s: 1188.75
4181MB 128thread new_clock -> kops/s: 1595.46
Whether we have just one thread on a quiet system or an overload of threads, the new version wins every time in thousand-ops per second, sometimes dramatically so. Mutex-based implementation quickly becomes contention-limited. New clock cache shows essentially perfect scaling up to number of physical cores (24), and then each hyperthreaded core adding about 1/4 the throughput of an additional physical core (see 48 thread case). Block cache miss rates (omitted above) are negligible across the board. With partitioned instead of full filters, the maximum speed-up vs. base is more like 2.5x rather than 5x.
Now test a large block cache with low miss ratio, but some eviction is required:
1597MB 1thread base -> kops/s: 46.603 io_bytes/op: 1584.63 miss_ratio: 0.0201066 max_rss_mb: 1589.23
1597MB 1thread folly -> kops/s: 45.079 io_bytes/op: 1530.03 miss_ratio: 0.019872 max_rss_mb: 1550.43
1597MB 1thread gt_clock -> kops/s: 48.711 io_bytes/op: 1566.63 miss_ratio: 0.0198923 max_rss_mb: 1691.4
1597MB 1thread new_clock -> kops/s: 51.531 io_bytes/op: 1589.07 miss_ratio: 0.0201969 max_rss_mb: 1583.56
1597MB 32thread base -> kops/s: 301.174 io_bytes/op: 1439.52 miss_ratio: 0.0184218 max_rss_mb: 1656.59
1597MB 32thread folly -> kops/s: 273.09 io_bytes/op: 1375.12 miss_ratio: 0.0180002 max_rss_mb: 1586.8
1597MB 32thread gt_clock -> kops/s: 904.497 io_bytes/op: 1411.29 miss_ratio: 0.0179934 max_rss_mb: 1775.89
1597MB 32thread new_clock -> kops/s: 1182.59 io_bytes/op: 1440.77 miss_ratio: 0.0185449 max_rss_mb: 1636.45
1597MB 128thread base -> kops/s: 309.91 io_bytes/op: 1438.25 miss_ratio: 0.018399 max_rss_mb: 1689.98
1597MB 128thread folly -> kops/s: 267.605 io_bytes/op: 1394.16 miss_ratio: 0.0180286 max_rss_mb: 1631.91
1597MB 128thread gt_clock -> kops/s: 691.518 io_bytes/op: 9056.73 miss_ratio: 0.0186572 max_rss_mb: 1982.26
1597MB 128thread new_clock -> kops/s: 1406.12 io_bytes/op: 1440.82 miss_ratio: 0.0185463 max_rss_mb: 1685.63
610MB 1thread base -> kops/s: 45.511 io_bytes/op: 2279.61 miss_ratio: 0.0290528 max_rss_mb: 615.137
610MB 1thread folly -> kops/s: 43.386 io_bytes/op: 2217.29 miss_ratio: 0.0289282 max_rss_mb: 600.996
610MB 1thread gt_clock -> kops/s: 46.207 io_bytes/op: 2275.51 miss_ratio: 0.0290057 max_rss_mb: 637.934
610MB 1thread new_clock -> kops/s: 48.879 io_bytes/op: 2283.1 miss_ratio: 0.0291253 max_rss_mb: 613.5
610MB 32thread base -> kops/s: 306.59 io_bytes/op: 2250 miss_ratio: 0.0288721 max_rss_mb: 683.402
610MB 32thread folly -> kops/s: 269.176 io_bytes/op: 2187.86 miss_ratio: 0.0286938 max_rss_mb: 628.742
610MB 32thread gt_clock -> kops/s: 855.097 io_bytes/op: 2279.26 miss_ratio: 0.0288009 max_rss_mb: 733.062
610MB 32thread new_clock -> kops/s: 1121.47 io_bytes/op: 2244.29 miss_ratio: 0.0289046 max_rss_mb: 666.453
610MB 128thread base -> kops/s: 305.079 io_bytes/op: 2252.43 miss_ratio: 0.0288884 max_rss_mb: 723.457
610MB 128thread folly -> kops/s: 269.583 io_bytes/op: 2204.58 miss_ratio: 0.0287001 max_rss_mb: 676.426
610MB 128thread gt_clock -> kops/s: 53.298 io_bytes/op: 8128.98 miss_ratio: 0.0292452 max_rss_mb: 956.273
610MB 128thread new_clock -> kops/s: 1301.09 io_bytes/op: 2246.04 miss_ratio: 0.0289171 max_rss_mb: 788.812
The new version is still winning every time, sometimes dramatically so, and we can tell from the maximum resident memory numbers (which contain some noise, by the way) that the new cache is not cheating on memory usage. IMPORTANT: The previous generation experimental clock cache appears to hit a serious bottleneck in the higher thread count configurations, presumably due to some of its waiting functionality. (The same bottleneck is not seen with partitioned index+filters.)
Now we consider even smaller cache sizes, with higher miss ratios, eviction work, etc.
233MB 1thread base -> kops/s: 10.557 io_bytes/op: 227040 miss_ratio: 0.0403105 max_rss_mb: 247.371
233MB 1thread folly -> kops/s: 15.348 io_bytes/op: 112007 miss_ratio: 0.0372238 max_rss_mb: 245.293
233MB 1thread gt_clock -> kops/s: 6.365 io_bytes/op: 244854 miss_ratio: 0.0413873 max_rss_mb: 259.844
233MB 1thread new_clock -> kops/s: 47.501 io_bytes/op: 2591.93 miss_ratio: 0.0330989 max_rss_mb: 242.461
233MB 32thread base -> kops/s: 96.498 io_bytes/op: 363379 miss_ratio: 0.0459966 max_rss_mb: 479.227
233MB 32thread folly -> kops/s: 109.95 io_bytes/op: 314799 miss_ratio: 0.0450032 max_rss_mb: 400.738
233MB 32thread gt_clock -> kops/s: 2.353 io_bytes/op: 385397 miss_ratio: 0.048445 max_rss_mb: 500.688
233MB 32thread new_clock -> kops/s: 1088.95 io_bytes/op: 2567.02 miss_ratio: 0.0330593 max_rss_mb: 303.402
233MB 128thread base -> kops/s: 84.302 io_bytes/op: 378020 miss_ratio: 0.0466558 max_rss_mb: 1051.84
233MB 128thread folly -> kops/s: 89.921 io_bytes/op: 338242 miss_ratio: 0.0460309 max_rss_mb: 812.785
233MB 128thread gt_clock -> kops/s: 2.588 io_bytes/op: 462833 miss_ratio: 0.0509158 max_rss_mb: 1109.94
233MB 128thread new_clock -> kops/s: 1299.26 io_bytes/op: 2565.94 miss_ratio: 0.0330531 max_rss_mb: 361.016
89MB 1thread base -> kops/s: 0.574 io_bytes/op: 5.35977e+06 miss_ratio: 0.274427 max_rss_mb: 91.3086
89MB 1thread folly -> kops/s: 0.578 io_bytes/op: 5.16549e+06 miss_ratio: 0.27276 max_rss_mb: 96.8984
89MB 1thread gt_clock -> kops/s: 0.512 io_bytes/op: 4.13111e+06 miss_ratio: 0.242817 max_rss_mb: 119.441
89MB 1thread new_clock -> kops/s: 48.172 io_bytes/op: 2709.76 miss_ratio: 0.0346162 max_rss_mb: 100.754
89MB 32thread base -> kops/s: 5.779 io_bytes/op: 6.14192e+06 miss_ratio: 0.320399 max_rss_mb: 311.812
89MB 32thread folly -> kops/s: 5.601 io_bytes/op: 5.83838e+06 miss_ratio: 0.313123 max_rss_mb: 252.418
89MB 32thread gt_clock -> kops/s: 0.77 io_bytes/op: 3.99236e+06 miss_ratio: 0.236296 max_rss_mb: 396.422
89MB 32thread new_clock -> kops/s: 1064.97 io_bytes/op: 2687.23 miss_ratio: 0.0346134 max_rss_mb: 155.293
89MB 128thread base -> kops/s: 4.959 io_bytes/op: 6.20297e+06 miss_ratio: 0.323945 max_rss_mb: 823.43
89MB 128thread folly -> kops/s: 4.962 io_bytes/op: 5.9601e+06 miss_ratio: 0.319857 max_rss_mb: 626.824
89MB 128thread gt_clock -> kops/s: 1.009 io_bytes/op: 4.1083e+06 miss_ratio: 0.242512 max_rss_mb: 1095.32
89MB 128thread new_clock -> kops/s: 1224.39 io_bytes/op: 2688.2 miss_ratio: 0.0346207 max_rss_mb: 218.223
^ Now something interesting has happened: the new clock cache has gained a dramatic lead in the single-threaded case, and this is because the cache is so small, and full filters are so big, that dividing the cache into 64 shards leads to significant (random) imbalances in cache shards and excessive churn in imbalanced shards. This new clock cache only uses two shards for this configuration, and that helps to ensure that entries are part of a sufficiently big pool that their eviction order resembles the single-shard order. (This effect is not seen with partitioned index+filters.)
Even smaller cache size:
34MB 1thread base -> kops/s: 0.198 io_bytes/op: 1.65342e+07 miss_ratio: 0.939466 max_rss_mb: 48.6914
34MB 1thread folly -> kops/s: 0.201 io_bytes/op: 1.63416e+07 miss_ratio: 0.939081 max_rss_mb: 45.3281
34MB 1thread gt_clock -> kops/s: 0.448 io_bytes/op: 4.43957e+06 miss_ratio: 0.266749 max_rss_mb: 100.523
34MB 1thread new_clock -> kops/s: 1.055 io_bytes/op: 1.85439e+06 miss_ratio: 0.107512 max_rss_mb: 75.3125
34MB 32thread base -> kops/s: 3.346 io_bytes/op: 1.64852e+07 miss_ratio: 0.93596 max_rss_mb: 180.48
34MB 32thread folly -> kops/s: 3.431 io_bytes/op: 1.62857e+07 miss_ratio: 0.935693 max_rss_mb: 137.531
34MB 32thread gt_clock -> kops/s: 1.47 io_bytes/op: 4.89704e+06 miss_ratio: 0.295081 max_rss_mb: 392.465
34MB 32thread new_clock -> kops/s: 8.19 io_bytes/op: 3.70456e+06 miss_ratio: 0.20826 max_rss_mb: 519.793
34MB 128thread base -> kops/s: 2.293 io_bytes/op: 1.64351e+07 miss_ratio: 0.931866 max_rss_mb: 449.484
34MB 128thread folly -> kops/s: 2.34 io_bytes/op: 1.6219e+07 miss_ratio: 0.932023 max_rss_mb: 396.457
34MB 128thread gt_clock -> kops/s: 1.798 io_bytes/op: 5.4241e+06 miss_ratio: 0.324881 max_rss_mb: 1104.41
34MB 128thread new_clock -> kops/s: 10.519 io_bytes/op: 2.39354e+06 miss_ratio: 0.136147 max_rss_mb: 1050.52
As the miss ratio gets higher (say, above 10%), the CPU time spent in eviction starts to erode the advantage of using fewer shards (13% miss rate much lower than 94%). LRU's O(1) eviction time can eventually pay off when there's enough block cache churn:
13MB 1thread base -> kops/s: 0.195 io_bytes/op: 1.65732e+07 miss_ratio: 0.946604 max_rss_mb: 45.6328
13MB 1thread folly -> kops/s: 0.197 io_bytes/op: 1.63793e+07 miss_ratio: 0.94661 max_rss_mb: 33.8633
13MB 1thread gt_clock -> kops/s: 0.519 io_bytes/op: 4.43316e+06 miss_ratio: 0.269379 max_rss_mb: 100.684
13MB 1thread new_clock -> kops/s: 0.176 io_bytes/op: 1.54148e+07 miss_ratio: 0.91545 max_rss_mb: 66.2383
13MB 32thread base -> kops/s: 3.266 io_bytes/op: 1.65544e+07 miss_ratio: 0.943386 max_rss_mb: 132.492
13MB 32thread folly -> kops/s: 3.396 io_bytes/op: 1.63142e+07 miss_ratio: 0.943243 max_rss_mb: 101.863
13MB 32thread gt_clock -> kops/s: 2.758 io_bytes/op: 5.13714e+06 miss_ratio: 0.310652 max_rss_mb: 396.121
13MB 32thread new_clock -> kops/s: 3.11 io_bytes/op: 1.23419e+07 miss_ratio: 0.708425 max_rss_mb: 321.758
13MB 128thread base -> kops/s: 2.31 io_bytes/op: 1.64823e+07 miss_ratio: 0.939543 max_rss_mb: 425.539
13MB 128thread folly -> kops/s: 2.339 io_bytes/op: 1.6242e+07 miss_ratio: 0.939966 max_rss_mb: 346.098
13MB 128thread gt_clock -> kops/s: 3.223 io_bytes/op: 5.76928e+06 miss_ratio: 0.345899 max_rss_mb: 1087.77
13MB 128thread new_clock -> kops/s: 2.984 io_bytes/op: 1.05341e+07 miss_ratio: 0.606198 max_rss_mb: 898.27
gt_clock is clearly blowing way past its memory budget for lower miss rates and best throughput. new_clock also seems to be exceeding budgets, and this warrants more investigation but is not the use case we are targeting with the new cache. With partitioned index+filter, the miss ratio is much better, and although still high enough that the eviction CPU time is definitely offsetting mutex contention:
13MB 1thread base -> kops/s: 16.326 io_bytes/op: 23743.9 miss_ratio: 0.205362 max_rss_mb: 65.2852
13MB 1thread folly -> kops/s: 15.574 io_bytes/op: 19415 miss_ratio: 0.184157 max_rss_mb: 56.3516
13MB 1thread gt_clock -> kops/s: 14.459 io_bytes/op: 22873 miss_ratio: 0.198355 max_rss_mb: 63.9688
13MB 1thread new_clock -> kops/s: 16.34 io_bytes/op: 24386.5 miss_ratio: 0.210512 max_rss_mb: 61.707
13MB 128thread base -> kops/s: 289.786 io_bytes/op: 23710.9 miss_ratio: 0.205056 max_rss_mb: 103.57
13MB 128thread folly -> kops/s: 185.282 io_bytes/op: 19433.1 miss_ratio: 0.184275 max_rss_mb: 116.219
13MB 128thread gt_clock -> kops/s: 354.451 io_bytes/op: 23150.6 miss_ratio: 0.200495 max_rss_mb: 102.871
13MB 128thread new_clock -> kops/s: 295.359 io_bytes/op: 24626.4 miss_ratio: 0.212452 max_rss_mb: 121.109
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10626
Test Plan: updated unit tests, stress/crash test runs including with TSAN, ASAN, UBSAN
Reviewed By: anand1976
Differential Revision: D39368406
Pulled By: pdillinger
fbshipit-source-id: 5afc44da4c656f8f751b44552bbf27bd3ca6fef9
2022-09-16 07:24:11 +00:00
|
|
|
capacity,
|
2022-09-16 19:47:29 +00:00
|
|
|
BlockBasedTableOptions().block_size /*estimated_value_size*/)
|
|
|
|
.MakeSharedCache()}) {
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
++iterations_tested;
|
|
|
|
|
|
|
|
Options options = CurrentOptions();
|
2021-06-08 12:02:29 +00:00
|
|
|
SetTimeElapseOnlySleepOnReopen(&options);
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
options.create_if_missing = true;
|
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
options.max_open_files = 13;
|
|
|
|
options.table_cache_numshardbits = 0;
|
2021-06-14 15:14:21 +00:00
|
|
|
// If this wakes up, it could interfere with test
|
|
|
|
options.stats_dump_period_sec = 0;
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
|
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.block_cache = cache;
|
|
|
|
table_options.cache_index_and_filter_blocks = true;
|
|
|
|
table_options.filter_policy.reset(NewBloomFilterPolicy(50));
|
|
|
|
if (partition) {
|
|
|
|
table_options.index_type = BlockBasedTableOptions::kTwoLevelIndexSearch;
|
|
|
|
table_options.partition_filters = true;
|
|
|
|
}
|
|
|
|
table_options.metadata_cache_options.top_level_index_pinning =
|
|
|
|
PinningTier::kNone;
|
|
|
|
table_options.metadata_cache_options.partition_pinning =
|
|
|
|
PinningTier::kNone;
|
|
|
|
table_options.metadata_cache_options.unpartitioned_pinning =
|
|
|
|
PinningTier::kNone;
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
DestroyAndReopen(options);
|
|
|
|
|
|
|
|
// Create a new table.
|
|
|
|
ASSERT_OK(Put("foo", "value"));
|
|
|
|
ASSERT_OK(Put("bar", "value"));
|
|
|
|
ASSERT_OK(Flush());
|
|
|
|
|
|
|
|
ASSERT_OK(Put("zfoo", "value"));
|
|
|
|
ASSERT_OK(Put("zbar", "value"));
|
|
|
|
ASSERT_OK(Flush());
|
|
|
|
|
|
|
|
ASSERT_EQ(2, NumTableFilesAtLevel(0));
|
|
|
|
|
|
|
|
// Fresh cache
|
|
|
|
ClearCache(cache.get());
|
|
|
|
|
|
|
|
std::array<size_t, kNumCacheEntryRoles> expected{};
|
|
|
|
// For CacheEntryStatsCollector
|
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kMisc)] = 1;
|
2021-06-14 15:14:21 +00:00
|
|
|
EXPECT_EQ(expected, GetCacheEntryRoleCountsBg());
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
|
2021-06-08 12:02:29 +00:00
|
|
|
std::array<size_t, kNumCacheEntryRoles> prev_expected = expected;
|
|
|
|
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
// First access only filters
|
|
|
|
ASSERT_EQ("NOT_FOUND", Get("different from any key added"));
|
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kFilterBlock)] += 2;
|
|
|
|
if (partition) {
|
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kFilterMetaBlock)] += 2;
|
|
|
|
}
|
2021-06-08 12:02:29 +00:00
|
|
|
// Within some time window, we will get cached entry stats
|
2021-06-14 15:14:21 +00:00
|
|
|
EXPECT_EQ(prev_expected, GetCacheEntryRoleCountsBg());
|
2021-06-08 12:02:29 +00:00
|
|
|
// Not enough to force a miss
|
2021-06-14 15:14:21 +00:00
|
|
|
env_->MockSleepForSeconds(45);
|
|
|
|
EXPECT_EQ(prev_expected, GetCacheEntryRoleCountsBg());
|
2021-06-08 12:02:29 +00:00
|
|
|
// Enough to force a miss
|
2021-06-14 15:14:21 +00:00
|
|
|
env_->MockSleepForSeconds(601);
|
|
|
|
EXPECT_EQ(expected, GetCacheEntryRoleCountsBg());
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
|
|
|
|
// Now access index and data block
|
|
|
|
ASSERT_EQ("value", Get("foo"));
|
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kIndexBlock)]++;
|
|
|
|
if (partition) {
|
|
|
|
// top-level
|
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kIndexBlock)]++;
|
|
|
|
}
|
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kDataBlock)]++;
|
2021-06-14 15:14:21 +00:00
|
|
|
// Enough to force a miss
|
|
|
|
env_->MockSleepForSeconds(601);
|
|
|
|
// But inject a simulated long scan so that we need a longer
|
|
|
|
// interval to force a miss next time.
|
|
|
|
SyncPoint::GetInstance()->SetCallBack(
|
|
|
|
"CacheEntryStatsCollector::GetStats:AfterApplyToAllEntries",
|
|
|
|
[this](void*) {
|
|
|
|
// To spend no more than 0.2% of time scanning, we would need
|
|
|
|
// interval of at least 10000s
|
|
|
|
env_->MockSleepForSeconds(20);
|
|
|
|
});
|
|
|
|
SyncPoint::GetInstance()->EnableProcessing();
|
|
|
|
EXPECT_EQ(expected, GetCacheEntryRoleCountsBg());
|
|
|
|
prev_expected = expected;
|
|
|
|
SyncPoint::GetInstance()->DisableProcessing();
|
|
|
|
SyncPoint::GetInstance()->ClearAllCallBacks();
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
|
|
|
|
// The same for other file
|
|
|
|
ASSERT_EQ("value", Get("zfoo"));
|
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kIndexBlock)]++;
|
|
|
|
if (partition) {
|
|
|
|
// top-level
|
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kIndexBlock)]++;
|
|
|
|
}
|
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kDataBlock)]++;
|
2021-06-14 15:14:21 +00:00
|
|
|
// Because of the simulated long scan, this is not enough to force
|
|
|
|
// a miss
|
|
|
|
env_->MockSleepForSeconds(601);
|
|
|
|
EXPECT_EQ(prev_expected, GetCacheEntryRoleCountsBg());
|
|
|
|
// But this is enough
|
|
|
|
env_->MockSleepForSeconds(10000);
|
|
|
|
EXPECT_EQ(expected, GetCacheEntryRoleCountsBg());
|
|
|
|
prev_expected = expected;
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
|
|
|
|
// Also check the GetProperty interface
|
|
|
|
std::map<std::string, std::string> values;
|
|
|
|
ASSERT_TRUE(
|
|
|
|
db_->GetMapProperty(DB::Properties::kBlockCacheEntryStats, &values));
|
|
|
|
|
2022-04-14 16:38:55 +00:00
|
|
|
for (size_t i = 0; i < kNumCacheEntryRoles; ++i) {
|
|
|
|
auto role = static_cast<CacheEntryRole>(i);
|
2022-05-06 20:03:58 +00:00
|
|
|
EXPECT_EQ(std::to_string(expected[i]),
|
2022-04-14 16:38:55 +00:00
|
|
|
values[BlockCacheEntryStatsMapKeys::EntryCount(role)]);
|
|
|
|
}
|
2021-06-14 15:14:21 +00:00
|
|
|
|
|
|
|
// Add one for kWriteBuffer
|
|
|
|
{
|
|
|
|
WriteBufferManager wbm(size_t{1} << 20, cache);
|
|
|
|
wbm.ReserveMem(1024);
|
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kWriteBuffer)]++;
|
|
|
|
// Now we check that the GetProperty interface is more agressive about
|
|
|
|
// re-scanning stats, but not totally aggressive.
|
|
|
|
// Within some time window, we will get cached entry stats
|
|
|
|
env_->MockSleepForSeconds(1);
|
2022-05-06 20:03:58 +00:00
|
|
|
EXPECT_EQ(std::to_string(prev_expected[static_cast<size_t>(
|
2021-06-14 15:14:21 +00:00
|
|
|
CacheEntryRole::kWriteBuffer)]),
|
2022-04-14 16:38:55 +00:00
|
|
|
values[BlockCacheEntryStatsMapKeys::EntryCount(
|
|
|
|
CacheEntryRole::kWriteBuffer)]);
|
2021-06-14 15:14:21 +00:00
|
|
|
// Not enough for a "background" miss but enough for a "foreground" miss
|
|
|
|
env_->MockSleepForSeconds(45);
|
|
|
|
|
|
|
|
ASSERT_TRUE(db_->GetMapProperty(DB::Properties::kBlockCacheEntryStats,
|
|
|
|
&values));
|
|
|
|
EXPECT_EQ(
|
2022-05-06 20:03:58 +00:00
|
|
|
std::to_string(
|
2021-06-14 15:14:21 +00:00
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kWriteBuffer)]),
|
2022-04-14 16:38:55 +00:00
|
|
|
values[BlockCacheEntryStatsMapKeys::EntryCount(
|
|
|
|
CacheEntryRole::kWriteBuffer)]);
|
2021-06-14 15:14:21 +00:00
|
|
|
}
|
|
|
|
prev_expected = expected;
|
|
|
|
|
|
|
|
// With collector pinned in cache, we should be able to hit
|
|
|
|
// even if the cache is full
|
|
|
|
ClearCache(cache.get());
|
|
|
|
Cache::Handle* h = nullptr;
|
2022-08-10 20:57:52 +00:00
|
|
|
if (strcmp(cache->Name(), "LRUCache") == 0) {
|
|
|
|
ASSERT_OK(cache->Insert("Fill-it-up", nullptr, capacity + 1,
|
|
|
|
GetNoopDeleterForRole<CacheEntryRole::kMisc>(),
|
|
|
|
&h, Cache::Priority::HIGH));
|
|
|
|
} else {
|
|
|
|
// For ClockCache we use a 16-byte key.
|
|
|
|
ASSERT_OK(cache->Insert("Fill-it-up-xxxxx", nullptr, capacity + 1,
|
|
|
|
GetNoopDeleterForRole<CacheEntryRole::kMisc>(),
|
|
|
|
&h, Cache::Priority::HIGH));
|
|
|
|
}
|
2021-06-14 15:14:21 +00:00
|
|
|
ASSERT_GT(cache->GetUsage(), cache->GetCapacity());
|
|
|
|
expected = {};
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
// For CacheEntryStatsCollector
|
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kMisc)] = 1;
|
|
|
|
// For Fill-it-up
|
2021-06-14 15:14:21 +00:00
|
|
|
expected[static_cast<size_t>(CacheEntryRole::kMisc)]++;
|
|
|
|
// Still able to hit on saved stats
|
|
|
|
EXPECT_EQ(prev_expected, GetCacheEntryRoleCountsBg());
|
|
|
|
// Enough to force a miss
|
|
|
|
env_->MockSleepForSeconds(1000);
|
|
|
|
EXPECT_EQ(expected, GetCacheEntryRoleCountsBg());
|
|
|
|
|
|
|
|
cache->Release(h);
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
|
|
|
|
// Now we test that the DB mutex is not held during scans, for the ways
|
|
|
|
// we know how to (possibly) trigger them. Without a better good way to
|
|
|
|
// check this, we simply inject an acquire & release of the DB mutex
|
|
|
|
// deep in the stat collection code. If we were already holding the
|
|
|
|
// mutex, that is UB that would at least be found by TSAN.
|
|
|
|
int scan_count = 0;
|
|
|
|
SyncPoint::GetInstance()->SetCallBack(
|
|
|
|
"CacheEntryStatsCollector::GetStats:AfterApplyToAllEntries",
|
|
|
|
[this, &scan_count](void*) {
|
|
|
|
dbfull()->TEST_LockMutex();
|
|
|
|
dbfull()->TEST_UnlockMutex();
|
|
|
|
++scan_count;
|
|
|
|
});
|
|
|
|
SyncPoint::GetInstance()->EnableProcessing();
|
|
|
|
|
|
|
|
// Different things that might trigger a scan, with mock sleeps to
|
|
|
|
// force a miss.
|
|
|
|
env_->MockSleepForSeconds(10000);
|
|
|
|
dbfull()->DumpStats();
|
|
|
|
ASSERT_EQ(scan_count, 1);
|
|
|
|
|
2022-10-20 22:04:29 +00:00
|
|
|
env_->MockSleepForSeconds(60);
|
|
|
|
ASSERT_TRUE(db_->GetMapProperty(DB::Properties::kFastBlockCacheEntryStats,
|
|
|
|
&values));
|
|
|
|
ASSERT_EQ(scan_count, 1);
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
ASSERT_TRUE(
|
|
|
|
db_->GetMapProperty(DB::Properties::kBlockCacheEntryStats, &values));
|
|
|
|
ASSERT_EQ(scan_count, 2);
|
|
|
|
|
|
|
|
env_->MockSleepForSeconds(10000);
|
2022-10-20 22:04:29 +00:00
|
|
|
ASSERT_TRUE(db_->GetMapProperty(DB::Properties::kFastBlockCacheEntryStats,
|
|
|
|
&values));
|
|
|
|
ASSERT_EQ(scan_count, 3);
|
|
|
|
|
|
|
|
env_->MockSleepForSeconds(60);
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
std::string value_str;
|
2022-10-20 22:04:29 +00:00
|
|
|
ASSERT_TRUE(db_->GetProperty(DB::Properties::kFastBlockCacheEntryStats,
|
|
|
|
&value_str));
|
|
|
|
ASSERT_EQ(scan_count, 3);
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
ASSERT_TRUE(
|
|
|
|
db_->GetProperty(DB::Properties::kBlockCacheEntryStats, &value_str));
|
2022-10-20 22:04:29 +00:00
|
|
|
ASSERT_EQ(scan_count, 4);
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
|
|
|
|
env_->MockSleepForSeconds(10000);
|
2022-10-20 22:04:29 +00:00
|
|
|
ASSERT_TRUE(db_->GetProperty(DB::Properties::kFastBlockCacheEntryStats,
|
|
|
|
&value_str));
|
|
|
|
ASSERT_EQ(scan_count, 5);
|
|
|
|
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
ASSERT_TRUE(db_->GetProperty(DB::Properties::kCFStats, &value_str));
|
|
|
|
// To match historical speed, querying this property no longer triggers
|
|
|
|
// a scan, even if results are old. But periodic dump stats should keep
|
|
|
|
// things reasonably updated.
|
2022-10-20 22:04:29 +00:00
|
|
|
ASSERT_EQ(scan_count, /*unchanged*/ 5);
|
Don't hold DB mutex for block cache entry stat scans (#8538)
Summary:
I previously didn't notice the DB mutex was being held during
block cache entry stat scans, probably because I primarily checked for
read performance regressions, because they require the block cache and
are traditionally latency-sensitive.
This change does some refactoring to avoid holding DB mutex and to
avoid triggering and waiting for a scan in GetProperty("rocksdb.cfstats").
Some tests have to be updated because now the stats collector is
populated in the Cache aggressively on DB startup rather than lazily.
(I hope to clean up some of this added complexity in the future.)
This change also ensures proper treatment of need_out_of_mutex for
non-int DB properties.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8538
Test Plan:
Added unit test logic that uses sync points to fail if the DB mutex
is held during a scan, covering the various ways that a scan might be
triggered.
Performance test - the known impact to holding the DB mutex is on
TransactionDB, and the easiest way to see the impact is to hack the
scan code to almost always miss and take an artificially long time
scanning. Here I've injected an unconditional 5s sleep at the call to
ApplyToAllEntries.
Before (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 433.219 micros/op 2308 ops/sec; 0.1 MB/s ( transactions:78999 aborts:0)
rocksdb.db.write.micros P50 : 16.135883 P95 : 36.622503 P99 : 66.036115 P100 : 5000614.000000 COUNT : 149677 SUM : 8364856
$ TEST_TMPDIR=/dev/shm ./db_bench.base_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 448.802 micros/op 2228 ops/sec; 0.1 MB/s ( transactions:75999 aborts:0)
rocksdb.db.write.micros P50 : 16.629221 P95 : 37.320607 P99 : 72.144341 P100 : 5000871.000000 COUNT : 143995 SUM : 13472323
Notice the 5s P100 write time.
After (hacked):
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 303.645 micros/op 3293 ops/sec; 0.1 MB/s ( transactions:98999 aborts:0)
rocksdb.db.write.micros P50 : 16.061871 P95 : 33.978834 P99 : 60.018017 P100 : 616315.000000 COUNT : 187619 SUM : 4097407
$ TEST_TMPDIR=/dev/shm ./db_bench.new_xxx -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 310.383 micros/op 3221 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.270026 P95 : 35.786844 P99 : 64.302878 P100 : 603088.000000 COUNT : 183819 SUM : 4095918
P100 write is now ~0.6s. Not good, but it's the same even if I completely bypass all the scanning code:
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 311.365 micros/op 3211 ops/sec; 0.1 MB/s ( transactions:96999 aborts:0)
rocksdb.db.write.micros P50 : 16.274362 P95 : 36.221184 P99 : 68.809783 P100 : 649808.000000 COUNT : 183819 SUM : 4156767
$ TEST_TMPDIR=/dev/shm ./db_bench.new_skip -benchmarks=randomtransaction,stats -cache_index_and_filter_blocks=1 -bloom_bits=10 -partition_index_and_filters=1 -duration=30 -stats_dump_period_sec=12 -cache_size=100000000 -statistics -transaction_db 2>&1 | egrep 'db.db.write.micros|micros/op'
randomtransaction : 308.395 micros/op 3242 ops/sec; 0.1 MB/s ( transactions:97999 aborts:0)
rocksdb.db.write.micros P50 : 16.106222 P95 : 37.202403 P99 : 67.081875 P100 : 598091.000000 COUNT : 185714 SUM : 4098832
No substantial difference.
Reviewed By: siying
Differential Revision: D29738847
Pulled By: pdillinger
fbshipit-source-id: 1c5c155f5a1b62e4fea0fd4eeb515a8b7474027b
2021-07-16 21:12:06 +00:00
|
|
|
|
|
|
|
SyncPoint::GetInstance()->DisableProcessing();
|
|
|
|
SyncPoint::GetInstance()->ClearAllCallBacks();
|
Use deleters to label cache entries and collect stats (#8297)
Summary:
This change gathers and publishes statistics about the
kinds of items in block cache. This is especially important for
profiling relative usage of cache by index vs. filter vs. data blocks.
It works by iterating over the cache during periodic stats dump
(InternalStats, stats_dump_period_sec) or on demand when
DB::Get(Map)Property(kBlockCacheEntryStats), except that for
efficiency and sharing among column families, saved data from
the last scan is used when the data is not considered too old.
The new information can be seen in info LOG, for example:
Block cache LRUCache@0x7fca62229330 capacity: 95.37 MB collections: 8 last_copies: 0 last_secs: 0.00178 secs_since: 0
Block cache entry stats(count,size,portion): DataBlock(7092,28.24 MB,29.6136%) FilterBlock(215,867.90 KB,0.888728%) FilterMetaBlock(2,5.31 KB,0.00544%) IndexBlock(217,180.11 KB,0.184432%) WriteBuffer(1,256.00 KB,0.262144%) Misc(1,0.00 KB,0%)
And also through DB::GetProperty and GetMapProperty (here using
ldb just for demonstration):
$ ./ldb --db=/dev/shm/dbbench/ get_property rocksdb.block-cache-entry-stats
rocksdb.block-cache-entry-stats.bytes.data-block: 0
rocksdb.block-cache-entry-stats.bytes.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-block: 0
rocksdb.block-cache-entry-stats.bytes.filter-meta-block: 0
rocksdb.block-cache-entry-stats.bytes.index-block: 178992
rocksdb.block-cache-entry-stats.bytes.misc: 0
rocksdb.block-cache-entry-stats.bytes.other-block: 0
rocksdb.block-cache-entry-stats.bytes.write-buffer: 0
rocksdb.block-cache-entry-stats.capacity: 8388608
rocksdb.block-cache-entry-stats.count.data-block: 0
rocksdb.block-cache-entry-stats.count.deprecated-filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-block: 0
rocksdb.block-cache-entry-stats.count.filter-meta-block: 0
rocksdb.block-cache-entry-stats.count.index-block: 215
rocksdb.block-cache-entry-stats.count.misc: 1
rocksdb.block-cache-entry-stats.count.other-block: 0
rocksdb.block-cache-entry-stats.count.write-buffer: 0
rocksdb.block-cache-entry-stats.id: LRUCache@0x7f3636661290
rocksdb.block-cache-entry-stats.percent.data-block: 0.000000
rocksdb.block-cache-entry-stats.percent.deprecated-filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-block: 0.000000
rocksdb.block-cache-entry-stats.percent.filter-meta-block: 0.000000
rocksdb.block-cache-entry-stats.percent.index-block: 2.133751
rocksdb.block-cache-entry-stats.percent.misc: 0.000000
rocksdb.block-cache-entry-stats.percent.other-block: 0.000000
rocksdb.block-cache-entry-stats.percent.write-buffer: 0.000000
rocksdb.block-cache-entry-stats.secs_for_last_collection: 0.000052
rocksdb.block-cache-entry-stats.secs_since_last_collection: 0
Solution detail - We need some way to flag what kind of blocks each
entry belongs to, preferably without changing the Cache API.
One of the complications is that Cache is a general interface that could
have other users that don't adhere to whichever convention we decide
on for keys and values. Or we would pay for an extra field in the Handle
that would only be used for this purpose.
This change uses a back-door approach, the deleter, to indicate the
"role" of a Cache entry (in addition to the value type, implicitly).
This has the added benefit of ensuring proper code origin whenever we
recognize a particular role for a cache entry; if the entry came from
some other part of the code, it will use an unrecognized deleter, which
we simply attribute to the "Misc" role.
An internal API makes for simple instantiation and automatic
registration of Cache deleters for a given value type and "role".
Another internal API, CacheEntryStatsCollector, solves the problem of
caching the results of a scan and sharing them, to ensure scans are
neither excessive nor redundant so as not to harm Cache performance.
Because code is added to BlocklikeTraits, it is pulled out of
block_based_table_reader.cc into its own file.
This is a reformulation of https://github.com/facebook/rocksdb/issues/8276, without the type checking option
(could still be added), and with actual stat gathering.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8297
Test Plan: manual testing with db_bench, and a couple of basic unit tests
Reviewed By: ltamasi
Differential Revision: D28488721
Pulled By: pdillinger
fbshipit-source-id: 472f524a9691b5afb107934be2d41d84f2b129fb
2021-05-19 23:45:51 +00:00
|
|
|
}
|
|
|
|
EXPECT_GE(iterations_tested, 1);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2022-11-21 20:08:21 +00:00
|
|
|
namespace {
|
|
|
|
|
|
|
|
void DummyFillCache(Cache& cache, size_t entry_size,
|
|
|
|
std::vector<CacheHandleGuard<void>>& handles) {
|
|
|
|
// fprintf(stderr, "Entry size: %zu\n", entry_size);
|
|
|
|
handles.clear();
|
|
|
|
cache.EraseUnRefEntries();
|
|
|
|
void* fake_value = &cache;
|
|
|
|
size_t capacity = cache.GetCapacity();
|
|
|
|
OffsetableCacheKey ck{"abc", "abc", 42};
|
|
|
|
for (size_t my_usage = 0; my_usage < capacity;) {
|
|
|
|
size_t charge = std::min(entry_size, capacity - my_usage);
|
|
|
|
Cache::Handle* handle;
|
|
|
|
Status st = cache.Insert(ck.WithOffset(my_usage).AsSlice(), fake_value,
|
|
|
|
charge, /*deleter*/ nullptr, &handle);
|
|
|
|
ASSERT_OK(st);
|
|
|
|
handles.emplace_back(&cache, handle);
|
|
|
|
my_usage += charge;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
class CountingLogger : public Logger {
|
|
|
|
public:
|
|
|
|
~CountingLogger() override {}
|
|
|
|
using Logger::Logv;
|
|
|
|
void Logv(const InfoLogLevel log_level, const char* format,
|
|
|
|
va_list /*ap*/) override {
|
|
|
|
if (std::strstr(format, "HyperClockCache") == nullptr) {
|
|
|
|
// Not a match
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
// static StderrLogger debug;
|
|
|
|
// debug.Logv(log_level, format, ap);
|
|
|
|
if (log_level == InfoLogLevel::INFO_LEVEL) {
|
|
|
|
++info_count_;
|
|
|
|
} else if (log_level == InfoLogLevel::WARN_LEVEL) {
|
|
|
|
++warn_count_;
|
|
|
|
} else if (log_level == InfoLogLevel::ERROR_LEVEL) {
|
|
|
|
++error_count_;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
std::array<int, 3> PopCounts() {
|
|
|
|
std::array<int, 3> rv{{info_count_, warn_count_, error_count_}};
|
|
|
|
info_count_ = warn_count_ = error_count_ = 0;
|
|
|
|
return rv;
|
|
|
|
}
|
|
|
|
|
|
|
|
private:
|
|
|
|
int info_count_{};
|
|
|
|
int warn_count_{};
|
|
|
|
int error_count_{};
|
|
|
|
};
|
|
|
|
|
|
|
|
} // namespace
|
|
|
|
|
|
|
|
TEST_F(DBBlockCacheTest, HyperClockCacheReportProblems) {
|
|
|
|
size_t capacity = 1024 * 1024;
|
|
|
|
size_t value_size_est = 8 * 1024;
|
|
|
|
HyperClockCacheOptions hcc_opts{capacity, value_size_est};
|
|
|
|
hcc_opts.num_shard_bits = 2; // 4 shards
|
|
|
|
hcc_opts.metadata_charge_policy = kDontChargeCacheMetadata;
|
|
|
|
std::shared_ptr<Cache> cache = hcc_opts.MakeSharedCache();
|
|
|
|
std::shared_ptr<CountingLogger> logger = std::make_shared<CountingLogger>();
|
|
|
|
|
|
|
|
auto table_options = GetTableOptions();
|
|
|
|
auto options = GetOptions(table_options);
|
|
|
|
table_options.block_cache = cache;
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
options.info_log = logger;
|
|
|
|
// Going to sample more directly
|
|
|
|
options.stats_dump_period_sec = 0;
|
|
|
|
Reopen(options);
|
|
|
|
|
|
|
|
std::vector<CacheHandleGuard<void>> handles;
|
|
|
|
|
|
|
|
// Clear anything from DB startup
|
|
|
|
logger->PopCounts();
|
|
|
|
|
|
|
|
// Fill cache based on expected size and check that when we
|
|
|
|
// don't report anything relevant in periodic stats dump
|
|
|
|
DummyFillCache(*cache, value_size_est, handles);
|
|
|
|
dbfull()->DumpStats();
|
|
|
|
EXPECT_EQ(logger->PopCounts(), (std::array<int, 3>{{0, 0, 0}}));
|
|
|
|
|
|
|
|
// Same, within reasonable bounds
|
|
|
|
DummyFillCache(*cache, value_size_est - value_size_est / 4, handles);
|
|
|
|
dbfull()->DumpStats();
|
|
|
|
EXPECT_EQ(logger->PopCounts(), (std::array<int, 3>{{0, 0, 0}}));
|
|
|
|
|
|
|
|
DummyFillCache(*cache, value_size_est + value_size_est / 3, handles);
|
|
|
|
dbfull()->DumpStats();
|
|
|
|
EXPECT_EQ(logger->PopCounts(), (std::array<int, 3>{{0, 0, 0}}));
|
|
|
|
|
|
|
|
// Estimate too high (value size too low) eventually reports ERROR
|
|
|
|
DummyFillCache(*cache, value_size_est / 2, handles);
|
|
|
|
dbfull()->DumpStats();
|
|
|
|
EXPECT_EQ(logger->PopCounts(), (std::array<int, 3>{{0, 1, 0}}));
|
|
|
|
|
|
|
|
DummyFillCache(*cache, value_size_est / 3, handles);
|
|
|
|
dbfull()->DumpStats();
|
|
|
|
EXPECT_EQ(logger->PopCounts(), (std::array<int, 3>{{0, 0, 1}}));
|
|
|
|
|
|
|
|
// Estimate too low (value size too high) starts with INFO
|
|
|
|
// and is only WARNING in the worst case
|
|
|
|
DummyFillCache(*cache, value_size_est * 2, handles);
|
|
|
|
dbfull()->DumpStats();
|
|
|
|
EXPECT_EQ(logger->PopCounts(), (std::array<int, 3>{{1, 0, 0}}));
|
|
|
|
|
|
|
|
DummyFillCache(*cache, value_size_est * 3, handles);
|
|
|
|
dbfull()->DumpStats();
|
|
|
|
EXPECT_EQ(logger->PopCounts(), (std::array<int, 3>{{0, 1, 0}}));
|
|
|
|
|
|
|
|
DummyFillCache(*cache, value_size_est * 20, handles);
|
|
|
|
dbfull()->DumpStats();
|
|
|
|
EXPECT_EQ(logger->PopCounts(), (std::array<int, 3>{{0, 1, 0}}));
|
|
|
|
}
|
|
|
|
|
2016-04-18 18:34:11 +00:00
|
|
|
#endif // ROCKSDB_LITE
|
2016-03-11 01:35:19 +00:00
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
class DBBlockCacheKeyTest
|
|
|
|
: public DBTestBase,
|
|
|
|
public testing::WithParamInterface<std::tuple<bool, bool>> {
|
|
|
|
public:
|
|
|
|
DBBlockCacheKeyTest()
|
|
|
|
: DBTestBase("db_block_cache_test", /*env_do_fsync=*/false) {}
|
|
|
|
|
|
|
|
void SetUp() override {
|
|
|
|
use_compressed_cache_ = std::get<0>(GetParam());
|
|
|
|
exclude_file_numbers_ = std::get<1>(GetParam());
|
|
|
|
}
|
|
|
|
|
|
|
|
bool use_compressed_cache_;
|
|
|
|
bool exclude_file_numbers_;
|
|
|
|
};
|
|
|
|
|
2021-08-17 03:36:19 +00:00
|
|
|
// Disable LinkFile so that we can physically copy a DB using Checkpoint.
|
|
|
|
// Disable file GetUniqueId to enable stable cache keys.
|
|
|
|
class StableCacheKeyTestFS : public FaultInjectionTestFS {
|
|
|
|
public:
|
|
|
|
explicit StableCacheKeyTestFS(const std::shared_ptr<FileSystem>& base)
|
|
|
|
: FaultInjectionTestFS(base) {
|
|
|
|
SetFailGetUniqueId(true);
|
|
|
|
}
|
|
|
|
|
2021-08-18 18:32:00 +00:00
|
|
|
virtual ~StableCacheKeyTestFS() override {}
|
2021-08-17 03:36:19 +00:00
|
|
|
|
|
|
|
IOStatus LinkFile(const std::string&, const std::string&, const IOOptions&,
|
|
|
|
IODebugContext*) override {
|
|
|
|
return IOStatus::NotSupported("Disabled");
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
TEST_P(DBBlockCacheKeyTest, StableCacheKeys) {
|
2021-08-17 03:36:19 +00:00
|
|
|
std::shared_ptr<StableCacheKeyTestFS> test_fs{
|
|
|
|
new StableCacheKeyTestFS(env_->GetFileSystem())};
|
|
|
|
std::unique_ptr<CompositeEnvWrapper> test_env{
|
|
|
|
new CompositeEnvWrapper(env_, test_fs)};
|
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
Options options = CurrentOptions();
|
|
|
|
options.create_if_missing = true;
|
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
options.env = test_env.get();
|
2021-08-17 03:36:19 +00:00
|
|
|
|
Always verify SST unique IDs on SST file open (#10532)
Summary:
Although we've been tracking SST unique IDs in the DB manifest
unconditionally, checking has been opt-in and with an extra pass at DB::Open
time. This changes the behavior of `verify_sst_unique_id_in_manifest` to
check unique ID against manifest every time an SST file is opened through
table cache (normal DB operations), replacing the explicit pass over files
at DB::Open time. This change also enables the option by default and
removes the "EXPERIMENTAL" designation.
One possible criticism is that the option no longer ensures the integrity
of a DB at Open time. This is far from an all-or-nothing issue. Verifying
the IDs of all SST files hardly ensures all the data in the DB is readable.
(VerifyChecksum is supposed to do that.) Also, with
max_open_files=-1 (default, extremely common), all SST files are
opened at DB::Open time anyway.
Implementation details:
* `VerifySstUniqueIdInManifest()` functions are the extra/explicit pass
that is now removed.
* Unit tests that manipulate/corrupt table properties have to opt out of
this check, because that corrupts the "actual" unique id. (And even for
testing we don't currently have a mechanism to set "no unique id"
in the in-memory file metadata for new files.)
* A lot of other unit test churn relates to (a) default checking on, and
(b) checking on SST open even without DB::Open (e.g. on flush)
* Use `FileMetaData` for more `TableCache` operations (in place of
`FileDescriptor`) so that we have access to the unique_id whenever
we might need to open an SST file. **There is the possibility of
performance impact because we can no longer use the more
localized `fd` part of an `FdWithKeyRange` but instead follow the
`file_metadata` pointer. However, this change (possible regression)
is only done for `GetMemoryUsageByTableReaders`.**
* Removed a completely unnecessary constructor overload of
`TableReaderOptions`
Possible follow-up:
* Verification only happens when opening through table cache. Are there
more places where this should happen?
* Improve error message when there is a file size mismatch vs. manifest
(FIXME added in the appropriate place).
* I'm not sure there's a justification for `FileDescriptor` to be distinct from
`FileMetaData`.
* I'm skeptical that `FdWithKeyRange` really still makes sense for
optimizing some data locality by duplicating some data in memory, but I
could be wrong.
* An unnecessary overload of NewTableReader was recently added, in
the public API nonetheless (though unusable there). It should be cleaned
up to put most things under `TableReaderOptions`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10532
Test Plan:
updated unit tests
Performance test showing no significant difference (just noise I think):
`./db_bench -benchmarks=readwhilewriting[-X10] -num=3000000 -disable_wal=1 -bloom_bits=8 -write_buffer_size=1000000 -target_file_size_base=1000000`
Before: readwhilewriting [AVG 10 runs] : 68702 (± 6932) ops/sec
After: readwhilewriting [AVG 10 runs] : 68239 (± 7198) ops/sec
Reviewed By: jay-zhuang
Differential Revision: D38765551
Pulled By: pdillinger
fbshipit-source-id: a827a708155f12344ab2a5c16e7701c7636da4c2
2022-09-08 05:52:42 +00:00
|
|
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// Corrupting the table properties corrupts the unique id.
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// Ignore the unique id recorded in the manifest.
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options.verify_sst_unique_id_in_manifest = false;
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2021-08-21 03:39:52 +00:00
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|
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BlockBasedTableOptions table_options;
|
2021-08-17 03:36:19 +00:00
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|
|
2021-08-21 03:39:52 +00:00
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|
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int key_count = 0;
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|
|
|
uint64_t expected_stat = 0;
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|
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std::function<void()> verify_stats;
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if (use_compressed_cache_) {
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if (!Snappy_Supported()) {
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ROCKSDB_GTEST_SKIP("Compressed cache test requires snappy support");
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return;
|
2021-08-17 03:36:19 +00:00
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}
|
2021-08-21 03:39:52 +00:00
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options.compression = CompressionType::kSnappyCompression;
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table_options.no_block_cache = true;
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table_options.block_cache_compressed = NewLRUCache(1 << 25, 0, false);
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verify_stats = [&options, &expected_stat] {
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// One for ordinary SST file and one for external SST file
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ASSERT_EQ(expected_stat,
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options.statistics->getTickerCount(BLOCK_CACHE_COMPRESSED_ADD));
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};
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} else {
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table_options.cache_index_and_filter_blocks = true;
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table_options.block_cache = NewLRUCache(1 << 25, 0, false);
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verify_stats = [&options, &expected_stat] {
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ASSERT_EQ(expected_stat,
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options.statistics->getTickerCount(BLOCK_CACHE_DATA_ADD));
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ASSERT_EQ(expected_stat,
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options.statistics->getTickerCount(BLOCK_CACHE_INDEX_ADD));
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ASSERT_EQ(expected_stat,
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options.statistics->getTickerCount(BLOCK_CACHE_FILTER_ADD));
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};
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}
|
2021-08-17 03:36:19 +00:00
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2021-08-21 03:39:52 +00:00
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table_options.filter_policy.reset(NewBloomFilterPolicy(10, false));
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options.table_factory.reset(NewBlockBasedTableFactory(table_options));
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CreateAndReopenWithCF({"koko"}, options);
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if (exclude_file_numbers_) {
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// Simulate something like old behavior without file numbers in properties.
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// This is a "control" side of the test that also ensures safely degraded
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// behavior on old files.
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ROCKSDB_NAMESPACE::SyncPoint::GetInstance()->SetCallBack(
|
New stable, fixed-length cache keys (#9126)
Summary:
This change standardizes on a new 16-byte cache key format for
block cache (incl compressed and secondary) and persistent cache (but
not table cache and row cache).
The goal is a really fast cache key with practically ideal stability and
uniqueness properties without external dependencies (e.g. from FileSystem).
A fixed key size of 16 bytes should enable future optimizations to the
concurrent hash table for block cache, which is a heavy CPU user /
bottleneck, but there appears to be measurable performance improvement
even with no changes to LRUCache.
This change replaces a lot of disjointed and ugly code handling cache
keys with calls to a simple, clean new internal API (cache_key.h).
(Preserving the old cache key logic under an option would be very ugly
and likely negate the performance gain of the new approach. Complete
replacement carries some inherent risk, but I think that's acceptable
with sufficient analysis and testing.)
The scheme for encoding new cache keys is complicated but explained
in cache_key.cc.
Also: EndianSwapValue is moved to math.h to be next to other bit
operations. (Explains some new include "math.h".) ReverseBits operation
added and unit tests added to hash_test for both.
Fixes https://github.com/facebook/rocksdb/issues/7405 (presuming a root cause)
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9126
Test Plan:
### Basic correctness
Several tests needed updates to work with the new functionality, mostly
because we are no longer relying on filesystem for stable cache keys
so table builders & readers need more context info to agree on cache
keys. This functionality is so core, a huge number of existing tests
exercise the cache key functionality.
### Performance
Create db with
`TEST_TMPDIR=/dev/shm ./db_bench -bloom_bits=10 -benchmarks=fillrandom -num=3000000 -partition_index_and_filters`
And test performance with
`TEST_TMPDIR=/dev/shm ./db_bench -readonly -use_existing_db -bloom_bits=10 -benchmarks=readrandom -num=3000000 -duration=30 -cache_index_and_filter_blocks -cache_size=250000 -threads=4`
using DEBUG_LEVEL=0 and simultaneous before & after runs.
Before ops/sec, avg over 100 runs: 121924
After ops/sec, avg over 100 runs: 125385 (+2.8%)
### Collision probability
I have built a tool, ./cache_bench -stress_cache_key to broadly simulate host-wide cache activity
over many months, by making some pessimistic simplifying assumptions:
* Every generated file has a cache entry for every byte offset in the file (contiguous range of cache keys)
* All of every file is cached for its entire lifetime
We use a simple table with skewed address assignment and replacement on address collision
to simulate files coming & going, with quite a variance (super-Poisson) in ages. Some output
with `./cache_bench -stress_cache_key -sck_keep_bits=40`:
```
Total cache or DBs size: 32TiB Writing 925.926 MiB/s or 76.2939TiB/day
Multiply by 9.22337e+18 to correct for simulation losses (but still assume whole file cached)
```
These come from default settings of 2.5M files per day of 32 MB each, and
`-sck_keep_bits=40` means that to represent a single file, we are only keeping 40 bits of
the 128-bit cache key. With file size of 2\*\*25 contiguous keys (pessimistic), our simulation
is about 2\*\*(128-40-25) or about 9 billion billion times more prone to collision than reality.
More default assumptions, relatively pessimistic:
* 100 DBs in same process (doesn't matter much)
* Re-open DB in same process (new session ID related to old session ID) on average
every 100 files generated
* Restart process (all new session IDs unrelated to old) 24 times per day
After enough data, we get a result at the end:
```
(keep 40 bits) 17 collisions after 2 x 90 days, est 10.5882 days between (9.76592e+19 corrected)
```
If we believe the (pessimistic) simulation and the mathematical generalization, we would need to run a billion machines all for 97 billion days to expect a cache key collision. To help verify that our generalization ("corrected") is robust, we can make our simulation more precise with `-sck_keep_bits=41` and `42`, which takes more running time to get enough data:
```
(keep 41 bits) 16 collisions after 4 x 90 days, est 22.5 days between (1.03763e+20 corrected)
(keep 42 bits) 19 collisions after 10 x 90 days, est 47.3684 days between (1.09224e+20 corrected)
```
The generalized prediction still holds. With the `-sck_randomize` option, we can see that we are beating "random" cache keys (except offsets still non-randomized) by a modest amount (roughly 20x less collision prone than random), which should make us reasonably comfortable even in "degenerate" cases:
```
197 collisions after 1 x 90 days, est 0.456853 days between (4.21372e+18 corrected)
```
I've run other tests to validate other conditions behave as expected, never behaving "worse than random" unless we start chopping off structured data.
Reviewed By: zhichao-cao
Differential Revision: D33171746
Pulled By: pdillinger
fbshipit-source-id: f16a57e369ed37be5e7e33525ace848d0537c88f
2021-12-17 01:13:55 +00:00
|
|
|
"BlockBasedTableBuilder::BlockBasedTableBuilder:PreSetupBaseCacheKey",
|
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|
|
[&](void* arg) {
|
2021-08-21 03:39:52 +00:00
|
|
|
TableProperties* props = reinterpret_cast<TableProperties*>(arg);
|
|
|
|
props->orig_file_number = 0;
|
|
|
|
});
|
|
|
|
ROCKSDB_NAMESPACE::SyncPoint::GetInstance()->EnableProcessing();
|
|
|
|
}
|
2021-08-17 03:36:19 +00:00
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
std::function<void()> perform_gets = [&key_count, &expected_stat, this]() {
|
|
|
|
if (exclude_file_numbers_) {
|
|
|
|
// No cache key reuse should happen, because we can't rely on current
|
|
|
|
// file number being stable
|
|
|
|
expected_stat += key_count;
|
|
|
|
} else {
|
|
|
|
// Cache keys should be stable
|
|
|
|
expected_stat = key_count;
|
|
|
|
}
|
|
|
|
for (int i = 0; i < key_count; ++i) {
|
|
|
|
ASSERT_EQ(Get(1, Key(i)), "abc");
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
// Ordinary SST files with same session id
|
|
|
|
const std::string something_compressible(500U, 'x');
|
|
|
|
for (int i = 0; i < 2; ++i) {
|
|
|
|
ASSERT_OK(Put(1, Key(key_count), "abc"));
|
|
|
|
ASSERT_OK(Put(1, Key(key_count) + "a", something_compressible));
|
|
|
|
ASSERT_OK(Flush(1));
|
|
|
|
++key_count;
|
|
|
|
}
|
2021-08-17 03:36:19 +00:00
|
|
|
|
2021-08-18 18:32:00 +00:00
|
|
|
#ifndef ROCKSDB_LITE
|
2021-08-21 03:39:52 +00:00
|
|
|
// Save an export of those ordinary SST files for later
|
|
|
|
std::string export_files_dir = dbname_ + "/exported";
|
|
|
|
ExportImportFilesMetaData* metadata_ptr_ = nullptr;
|
|
|
|
Checkpoint* checkpoint;
|
|
|
|
ASSERT_OK(Checkpoint::Create(db_, &checkpoint));
|
|
|
|
ASSERT_OK(checkpoint->ExportColumnFamily(handles_[1], export_files_dir,
|
|
|
|
&metadata_ptr_));
|
|
|
|
ASSERT_NE(metadata_ptr_, nullptr);
|
|
|
|
delete checkpoint;
|
|
|
|
checkpoint = nullptr;
|
|
|
|
|
|
|
|
// External SST files with same session id
|
|
|
|
SstFileWriter sst_file_writer(EnvOptions(), options);
|
|
|
|
std::vector<std::string> external;
|
|
|
|
for (int i = 0; i < 2; ++i) {
|
2022-05-06 20:03:58 +00:00
|
|
|
std::string f = dbname_ + "/external" + std::to_string(i) + ".sst";
|
2021-08-21 03:39:52 +00:00
|
|
|
external.push_back(f);
|
|
|
|
ASSERT_OK(sst_file_writer.Open(f));
|
|
|
|
ASSERT_OK(sst_file_writer.Put(Key(key_count), "abc"));
|
|
|
|
ASSERT_OK(
|
|
|
|
sst_file_writer.Put(Key(key_count) + "a", something_compressible));
|
|
|
|
++key_count;
|
|
|
|
ExternalSstFileInfo external_info;
|
|
|
|
ASSERT_OK(sst_file_writer.Finish(&external_info));
|
|
|
|
IngestExternalFileOptions ingest_opts;
|
|
|
|
ASSERT_OK(db_->IngestExternalFile(handles_[1], {f}, ingest_opts));
|
|
|
|
}
|
|
|
|
|
|
|
|
if (exclude_file_numbers_) {
|
New stable, fixed-length cache keys (#9126)
Summary:
This change standardizes on a new 16-byte cache key format for
block cache (incl compressed and secondary) and persistent cache (but
not table cache and row cache).
The goal is a really fast cache key with practically ideal stability and
uniqueness properties without external dependencies (e.g. from FileSystem).
A fixed key size of 16 bytes should enable future optimizations to the
concurrent hash table for block cache, which is a heavy CPU user /
bottleneck, but there appears to be measurable performance improvement
even with no changes to LRUCache.
This change replaces a lot of disjointed and ugly code handling cache
keys with calls to a simple, clean new internal API (cache_key.h).
(Preserving the old cache key logic under an option would be very ugly
and likely negate the performance gain of the new approach. Complete
replacement carries some inherent risk, but I think that's acceptable
with sufficient analysis and testing.)
The scheme for encoding new cache keys is complicated but explained
in cache_key.cc.
Also: EndianSwapValue is moved to math.h to be next to other bit
operations. (Explains some new include "math.h".) ReverseBits operation
added and unit tests added to hash_test for both.
Fixes https://github.com/facebook/rocksdb/issues/7405 (presuming a root cause)
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9126
Test Plan:
### Basic correctness
Several tests needed updates to work with the new functionality, mostly
because we are no longer relying on filesystem for stable cache keys
so table builders & readers need more context info to agree on cache
keys. This functionality is so core, a huge number of existing tests
exercise the cache key functionality.
### Performance
Create db with
`TEST_TMPDIR=/dev/shm ./db_bench -bloom_bits=10 -benchmarks=fillrandom -num=3000000 -partition_index_and_filters`
And test performance with
`TEST_TMPDIR=/dev/shm ./db_bench -readonly -use_existing_db -bloom_bits=10 -benchmarks=readrandom -num=3000000 -duration=30 -cache_index_and_filter_blocks -cache_size=250000 -threads=4`
using DEBUG_LEVEL=0 and simultaneous before & after runs.
Before ops/sec, avg over 100 runs: 121924
After ops/sec, avg over 100 runs: 125385 (+2.8%)
### Collision probability
I have built a tool, ./cache_bench -stress_cache_key to broadly simulate host-wide cache activity
over many months, by making some pessimistic simplifying assumptions:
* Every generated file has a cache entry for every byte offset in the file (contiguous range of cache keys)
* All of every file is cached for its entire lifetime
We use a simple table with skewed address assignment and replacement on address collision
to simulate files coming & going, with quite a variance (super-Poisson) in ages. Some output
with `./cache_bench -stress_cache_key -sck_keep_bits=40`:
```
Total cache or DBs size: 32TiB Writing 925.926 MiB/s or 76.2939TiB/day
Multiply by 9.22337e+18 to correct for simulation losses (but still assume whole file cached)
```
These come from default settings of 2.5M files per day of 32 MB each, and
`-sck_keep_bits=40` means that to represent a single file, we are only keeping 40 bits of
the 128-bit cache key. With file size of 2\*\*25 contiguous keys (pessimistic), our simulation
is about 2\*\*(128-40-25) or about 9 billion billion times more prone to collision than reality.
More default assumptions, relatively pessimistic:
* 100 DBs in same process (doesn't matter much)
* Re-open DB in same process (new session ID related to old session ID) on average
every 100 files generated
* Restart process (all new session IDs unrelated to old) 24 times per day
After enough data, we get a result at the end:
```
(keep 40 bits) 17 collisions after 2 x 90 days, est 10.5882 days between (9.76592e+19 corrected)
```
If we believe the (pessimistic) simulation and the mathematical generalization, we would need to run a billion machines all for 97 billion days to expect a cache key collision. To help verify that our generalization ("corrected") is robust, we can make our simulation more precise with `-sck_keep_bits=41` and `42`, which takes more running time to get enough data:
```
(keep 41 bits) 16 collisions after 4 x 90 days, est 22.5 days between (1.03763e+20 corrected)
(keep 42 bits) 19 collisions after 10 x 90 days, est 47.3684 days between (1.09224e+20 corrected)
```
The generalized prediction still holds. With the `-sck_randomize` option, we can see that we are beating "random" cache keys (except offsets still non-randomized) by a modest amount (roughly 20x less collision prone than random), which should make us reasonably comfortable even in "degenerate" cases:
```
197 collisions after 1 x 90 days, est 0.456853 days between (4.21372e+18 corrected)
```
I've run other tests to validate other conditions behave as expected, never behaving "worse than random" unless we start chopping off structured data.
Reviewed By: zhichao-cao
Differential Revision: D33171746
Pulled By: pdillinger
fbshipit-source-id: f16a57e369ed37be5e7e33525ace848d0537c88f
2021-12-17 01:13:55 +00:00
|
|
|
// FIXME(peterd): figure out where these extra ADDs are coming from
|
2021-08-21 03:39:52 +00:00
|
|
|
options.statistics->recordTick(BLOCK_CACHE_COMPRESSED_ADD,
|
|
|
|
uint64_t{0} - uint64_t{2});
|
|
|
|
}
|
2021-08-18 18:32:00 +00:00
|
|
|
#endif
|
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
perform_gets();
|
|
|
|
verify_stats();
|
2021-08-17 03:36:19 +00:00
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
// Make sure we can cache hit after re-open
|
|
|
|
ReopenWithColumnFamilies({"default", "koko"}, options);
|
2021-08-17 03:36:19 +00:00
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
perform_gets();
|
|
|
|
verify_stats();
|
2021-08-17 03:36:19 +00:00
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
// Make sure we can cache hit even on a full copy of the DB. Using
|
|
|
|
// StableCacheKeyTestFS, Checkpoint will resort to full copy not hard link.
|
|
|
|
// (Checkpoint not available in LITE mode to test this.)
|
2021-08-17 03:36:19 +00:00
|
|
|
#ifndef ROCKSDB_LITE
|
2021-08-21 03:39:52 +00:00
|
|
|
auto db_copy_name = dbname_ + "-copy";
|
|
|
|
ASSERT_OK(Checkpoint::Create(db_, &checkpoint));
|
|
|
|
ASSERT_OK(checkpoint->CreateCheckpoint(db_copy_name));
|
|
|
|
delete checkpoint;
|
2021-08-18 18:32:00 +00:00
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
Close();
|
|
|
|
Destroy(options);
|
2021-08-18 18:32:00 +00:00
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
// Switch to the DB copy
|
|
|
|
SaveAndRestore<std::string> save_dbname(&dbname_, db_copy_name);
|
|
|
|
ReopenWithColumnFamilies({"default", "koko"}, options);
|
|
|
|
|
|
|
|
perform_gets();
|
|
|
|
verify_stats();
|
2021-08-17 03:36:19 +00:00
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
// And ensure that re-importing + ingesting the same files into a
|
|
|
|
// different DB uses same cache keys
|
|
|
|
DestroyAndReopen(options);
|
|
|
|
|
|
|
|
ColumnFamilyHandle* cfh = nullptr;
|
|
|
|
ASSERT_OK(db_->CreateColumnFamilyWithImport(ColumnFamilyOptions(), "yoyo",
|
|
|
|
ImportColumnFamilyOptions(),
|
|
|
|
*metadata_ptr_, &cfh));
|
|
|
|
ASSERT_NE(cfh, nullptr);
|
|
|
|
delete cfh;
|
|
|
|
cfh = nullptr;
|
|
|
|
delete metadata_ptr_;
|
|
|
|
metadata_ptr_ = nullptr;
|
|
|
|
|
2022-08-11 00:34:38 +00:00
|
|
|
ASSERT_OK(DestroyDB(export_files_dir, options));
|
2021-08-21 03:39:52 +00:00
|
|
|
|
|
|
|
ReopenWithColumnFamilies({"default", "yoyo"}, options);
|
|
|
|
|
|
|
|
IngestExternalFileOptions ingest_opts;
|
|
|
|
ASSERT_OK(db_->IngestExternalFile(handles_[1], {external}, ingest_opts));
|
|
|
|
|
|
|
|
perform_gets();
|
|
|
|
verify_stats();
|
|
|
|
#endif // !ROCKSDB_LITE
|
|
|
|
|
|
|
|
Close();
|
|
|
|
Destroy(options);
|
|
|
|
ROCKSDB_NAMESPACE::SyncPoint::GetInstance()->DisableProcessing();
|
2021-08-17 03:36:19 +00:00
|
|
|
}
|
|
|
|
|
2022-02-04 22:15:06 +00:00
|
|
|
class CacheKeyTest : public testing::Test {
|
|
|
|
public:
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
CacheKey GetBaseCacheKey() {
|
|
|
|
CacheKey rv = GetOffsetableCacheKey(0, /*min file_number*/ 1).WithOffset(0);
|
|
|
|
// Correct for file_number_ == 1
|
|
|
|
*reinterpret_cast<uint64_t*>(&rv) ^= ReverseBits(uint64_t{1});
|
|
|
|
return rv;
|
|
|
|
}
|
|
|
|
CacheKey GetCacheKey(uint64_t session_counter, uint64_t file_number,
|
|
|
|
uint64_t offset) {
|
|
|
|
OffsetableCacheKey offsetable =
|
|
|
|
GetOffsetableCacheKey(session_counter, file_number);
|
|
|
|
// * 4 to counteract optimization that strips lower 2 bits in encoding
|
|
|
|
// the offset in BlockBasedTable::GetCacheKey (which we prefer to include
|
|
|
|
// in unit tests to maximize functional coverage).
|
|
|
|
EXPECT_GE(offset * 4, offset); // no overflow
|
|
|
|
return BlockBasedTable::GetCacheKey(offsetable,
|
|
|
|
BlockHandle(offset * 4, /*size*/ 5));
|
|
|
|
}
|
|
|
|
|
|
|
|
protected:
|
|
|
|
OffsetableCacheKey GetOffsetableCacheKey(uint64_t session_counter,
|
|
|
|
uint64_t file_number) {
|
2022-02-04 22:15:06 +00:00
|
|
|
// Like SemiStructuredUniqueIdGen::GenerateNext
|
|
|
|
tp_.db_session_id = EncodeSessionId(base_session_upper_,
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
base_session_lower_ ^ session_counter);
|
2022-05-06 20:03:58 +00:00
|
|
|
tp_.db_id = std::to_string(db_id_);
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
tp_.orig_file_number = file_number;
|
2022-02-04 22:15:06 +00:00
|
|
|
bool is_stable;
|
|
|
|
std::string cur_session_id = ""; // ignored
|
|
|
|
uint64_t cur_file_number = 42; // ignored
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
OffsetableCacheKey rv;
|
2022-02-04 22:15:06 +00:00
|
|
|
BlockBasedTable::SetupBaseCacheKey(&tp_, cur_session_id, cur_file_number,
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
&rv, &is_stable);
|
|
|
|
EXPECT_TRUE(is_stable);
|
|
|
|
EXPECT_TRUE(!rv.IsEmpty());
|
|
|
|
// BEGIN some assertions in relation to SST unique IDs
|
|
|
|
std::string external_unique_id_str;
|
|
|
|
EXPECT_OK(GetUniqueIdFromTableProperties(tp_, &external_unique_id_str));
|
|
|
|
UniqueId64x2 sst_unique_id = {};
|
|
|
|
EXPECT_OK(DecodeUniqueIdBytes(external_unique_id_str, &sst_unique_id));
|
|
|
|
ExternalUniqueIdToInternal(&sst_unique_id);
|
|
|
|
OffsetableCacheKey ock =
|
|
|
|
OffsetableCacheKey::FromInternalUniqueId(&sst_unique_id);
|
|
|
|
EXPECT_EQ(rv.WithOffset(0).AsSlice(), ock.WithOffset(0).AsSlice());
|
|
|
|
EXPECT_EQ(ock.ToInternalUniqueId(), sst_unique_id);
|
|
|
|
// END some assertions in relation to SST unique IDs
|
|
|
|
return rv;
|
2022-02-04 22:15:06 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
TableProperties tp_;
|
|
|
|
uint64_t base_session_upper_ = 0;
|
|
|
|
uint64_t base_session_lower_ = 0;
|
|
|
|
uint64_t db_id_ = 0;
|
|
|
|
};
|
|
|
|
|
|
|
|
TEST_F(CacheKeyTest, DBImplSessionIdStructure) {
|
|
|
|
// We have to generate our own session IDs for simulation purposes in other
|
|
|
|
// tests. Here we verify that the DBImpl implementation seems to match
|
|
|
|
// our construction here, by using lowest XORed-in bits for "session
|
|
|
|
// counter."
|
|
|
|
std::string session_id1 = DBImpl::GenerateDbSessionId(/*env*/ nullptr);
|
|
|
|
std::string session_id2 = DBImpl::GenerateDbSessionId(/*env*/ nullptr);
|
|
|
|
uint64_t upper1, upper2, lower1, lower2;
|
|
|
|
ASSERT_OK(DecodeSessionId(session_id1, &upper1, &lower1));
|
|
|
|
ASSERT_OK(DecodeSessionId(session_id2, &upper2, &lower2));
|
|
|
|
// Because generated in same process
|
|
|
|
ASSERT_EQ(upper1, upper2);
|
|
|
|
// Unless we generate > 4 billion session IDs in this process...
|
|
|
|
ASSERT_EQ(Upper32of64(lower1), Upper32of64(lower2));
|
|
|
|
// But they must be different somewhere
|
|
|
|
ASSERT_NE(Lower32of64(lower1), Lower32of64(lower2));
|
|
|
|
}
|
|
|
|
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
namespace {
|
|
|
|
// Deconstruct cache key, based on knowledge of implementation details.
|
|
|
|
void DeconstructNonemptyCacheKey(const CacheKey& key, uint64_t* file_num_etc64,
|
|
|
|
uint64_t* offset_etc64) {
|
|
|
|
*file_num_etc64 = *reinterpret_cast<const uint64_t*>(key.AsSlice().data());
|
|
|
|
*offset_etc64 = *reinterpret_cast<const uint64_t*>(key.AsSlice().data() + 8);
|
|
|
|
assert(*file_num_etc64 != 0);
|
|
|
|
if (*offset_etc64 == 0) {
|
|
|
|
std::swap(*file_num_etc64, *offset_etc64);
|
|
|
|
}
|
|
|
|
assert(*offset_etc64 != 0);
|
|
|
|
}
|
|
|
|
|
|
|
|
// Make a bit mask of 0 to 64 bits
|
|
|
|
uint64_t MakeMask64(int bits) {
|
|
|
|
if (bits >= 64) {
|
|
|
|
return uint64_t{0} - 1;
|
|
|
|
} else {
|
|
|
|
return (uint64_t{1} << bits) - 1;
|
|
|
|
}
|
2022-02-04 22:15:06 +00:00
|
|
|
}
|
|
|
|
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
// See CacheKeyTest::Encodings
|
|
|
|
struct CacheKeyDecoder {
|
|
|
|
// Inputs
|
|
|
|
uint64_t base_file_num_etc64, base_offset_etc64;
|
|
|
|
int session_counter_bits, file_number_bits, offset_bits;
|
2022-02-04 22:15:06 +00:00
|
|
|
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
// Derived
|
|
|
|
uint64_t session_counter_mask, file_number_mask, offset_mask;
|
|
|
|
|
|
|
|
// Outputs
|
|
|
|
uint64_t decoded_session_counter, decoded_file_num, decoded_offset;
|
2022-02-04 22:15:06 +00:00
|
|
|
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
void SetBaseCacheKey(const CacheKey& base) {
|
|
|
|
DeconstructNonemptyCacheKey(base, &base_file_num_etc64, &base_offset_etc64);
|
|
|
|
}
|
|
|
|
|
|
|
|
void SetRanges(int _session_counter_bits, int _file_number_bits,
|
|
|
|
int _offset_bits) {
|
|
|
|
session_counter_bits = _session_counter_bits;
|
|
|
|
session_counter_mask = MakeMask64(session_counter_bits);
|
|
|
|
file_number_bits = _file_number_bits;
|
|
|
|
file_number_mask = MakeMask64(file_number_bits);
|
|
|
|
offset_bits = _offset_bits;
|
|
|
|
offset_mask = MakeMask64(offset_bits);
|
|
|
|
}
|
|
|
|
|
|
|
|
void Decode(const CacheKey& key) {
|
|
|
|
uint64_t file_num_etc64, offset_etc64;
|
|
|
|
DeconstructNonemptyCacheKey(key, &file_num_etc64, &offset_etc64);
|
|
|
|
|
|
|
|
// First decode session counter
|
|
|
|
if (offset_bits + session_counter_bits <= 64) {
|
|
|
|
// fully recoverable from offset_etc64
|
|
|
|
decoded_session_counter =
|
|
|
|
ReverseBits((offset_etc64 ^ base_offset_etc64)) &
|
|
|
|
session_counter_mask;
|
|
|
|
} else if (file_number_bits + session_counter_bits <= 64) {
|
|
|
|
// fully recoverable from file_num_etc64
|
|
|
|
decoded_session_counter = DownwardInvolution(
|
|
|
|
(file_num_etc64 ^ base_file_num_etc64) & session_counter_mask);
|
|
|
|
} else {
|
|
|
|
// Need to combine parts from each word.
|
|
|
|
// Piece1 will contain some correct prefix of the bottom bits of
|
|
|
|
// session counter.
|
|
|
|
uint64_t piece1 =
|
|
|
|
ReverseBits((offset_etc64 ^ base_offset_etc64) & ~offset_mask);
|
|
|
|
int piece1_bits = 64 - offset_bits;
|
|
|
|
// Piece2 will contain involuded bits that we can combine with piece1
|
|
|
|
// to infer rest of session counter
|
|
|
|
int piece2_bits = std::min(64 - file_number_bits, 64 - piece1_bits);
|
|
|
|
ASSERT_LT(piece2_bits, 64);
|
|
|
|
uint64_t piece2_mask = MakeMask64(piece2_bits);
|
|
|
|
uint64_t piece2 = (file_num_etc64 ^ base_file_num_etc64) & piece2_mask;
|
|
|
|
|
|
|
|
// Cancel out the part of piece2 that we can infer from piece1
|
|
|
|
// (DownwardInvolution distributes over xor)
|
|
|
|
piece2 ^= DownwardInvolution(piece1) & piece2_mask;
|
|
|
|
|
|
|
|
// Now we need to solve for the unknown original bits in higher
|
|
|
|
// positions than piece1 provides. We use Gaussian elimination
|
|
|
|
// because we know that a piece2_bits X piece2_bits submatrix of
|
|
|
|
// the matrix underlying DownwardInvolution times the vector of
|
|
|
|
// unknown original bits equals piece2.
|
|
|
|
//
|
|
|
|
// Build an augmented row matrix for that submatrix, built column by
|
|
|
|
// column.
|
|
|
|
std::array<uint64_t, 64> aug_rows{};
|
|
|
|
for (int i = 0; i < piece2_bits; ++i) { // over columns
|
|
|
|
uint64_t col_i = DownwardInvolution(uint64_t{1} << piece1_bits << i);
|
|
|
|
ASSERT_NE(col_i & 1U, 0);
|
|
|
|
for (int j = 0; j < piece2_bits; ++j) { // over rows
|
|
|
|
aug_rows[j] |= (col_i & 1U) << i;
|
|
|
|
col_i >>= 1;
|
2022-02-04 22:15:06 +00:00
|
|
|
}
|
|
|
|
}
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
// Augment with right hand side
|
|
|
|
for (int j = 0; j < piece2_bits; ++j) { // over rows
|
|
|
|
aug_rows[j] |= (piece2 & 1U) << piece2_bits;
|
|
|
|
piece2 >>= 1;
|
2022-02-04 22:15:06 +00:00
|
|
|
}
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
// Run Gaussian elimination
|
|
|
|
for (int i = 0; i < piece2_bits; ++i) { // over columns
|
|
|
|
// Find a row that can be used to cancel others
|
|
|
|
uint64_t canceller = 0;
|
|
|
|
// Note: Rows 0 through i-1 contain 1s in columns already eliminated
|
|
|
|
for (int j = i; j < piece2_bits; ++j) { // over rows
|
|
|
|
if (aug_rows[j] & (uint64_t{1} << i)) {
|
|
|
|
// Swap into appropriate row
|
|
|
|
std::swap(aug_rows[i], aug_rows[j]);
|
|
|
|
// Keep a handy copy for row reductions
|
|
|
|
canceller = aug_rows[i];
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
ASSERT_NE(canceller, 0);
|
|
|
|
for (int j = 0; j < piece2_bits; ++j) { // over rows
|
|
|
|
if (i != j && ((aug_rows[j] >> i) & 1) != 0) {
|
|
|
|
// Row reduction
|
|
|
|
aug_rows[j] ^= canceller;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
// Extract result
|
|
|
|
decoded_session_counter = piece1;
|
|
|
|
for (int j = 0; j < piece2_bits; ++j) { // over rows
|
|
|
|
ASSERT_EQ(aug_rows[j] & piece2_mask, uint64_t{1} << j);
|
|
|
|
decoded_session_counter |= aug_rows[j] >> piece2_bits << piece1_bits
|
|
|
|
<< j;
|
2022-02-04 22:15:06 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
decoded_offset =
|
|
|
|
offset_etc64 ^ base_offset_etc64 ^ ReverseBits(decoded_session_counter);
|
|
|
|
|
|
|
|
decoded_file_num = ReverseBits(file_num_etc64 ^ base_file_num_etc64 ^
|
|
|
|
DownwardInvolution(decoded_session_counter));
|
|
|
|
}
|
|
|
|
};
|
2022-11-02 21:34:24 +00:00
|
|
|
} // anonymous namespace
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
|
|
|
|
TEST_F(CacheKeyTest, Encodings) {
|
|
|
|
// This test primarily verifies this claim from cache_key.cc:
|
|
|
|
// // In fact, if DB ids were not involved, we would be guaranteed unique
|
|
|
|
// // cache keys for files generated in a single process until total bits for
|
|
|
|
// // biggest session_id_counter, orig_file_number, and offset_in_file
|
|
|
|
// // reach 128 bits.
|
|
|
|
//
|
|
|
|
// To demonstrate this, CacheKeyDecoder can reconstruct the structured inputs
|
|
|
|
// to the cache key when provided an output cache key, the unstructured
|
|
|
|
// inputs, and bounds on the structured inputs.
|
|
|
|
//
|
|
|
|
// See OffsetableCacheKey comments in cache_key.cc.
|
|
|
|
|
|
|
|
// We are going to randomly initialize some values that *should* not affect
|
|
|
|
// result
|
|
|
|
Random64 r{std::random_device{}()};
|
|
|
|
|
|
|
|
CacheKeyDecoder decoder;
|
|
|
|
db_id_ = r.Next();
|
|
|
|
base_session_upper_ = r.Next();
|
|
|
|
base_session_lower_ = r.Next();
|
|
|
|
if (base_session_lower_ == 0) {
|
|
|
|
base_session_lower_ = 1;
|
|
|
|
}
|
|
|
|
|
|
|
|
decoder.SetBaseCacheKey(GetBaseCacheKey());
|
|
|
|
|
|
|
|
// Loop over configurations and test those
|
|
|
|
for (int session_counter_bits = 0; session_counter_bits <= 64;
|
2022-02-04 22:15:06 +00:00
|
|
|
++session_counter_bits) {
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
for (int file_number_bits = 1; file_number_bits <= 64; ++file_number_bits) {
|
|
|
|
// 62 bits max because unoptimized offset will be 64 bits in that case
|
|
|
|
for (int offset_bits = 0; offset_bits <= 62; ++offset_bits) {
|
|
|
|
if (session_counter_bits + file_number_bits + offset_bits > 128) {
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
|
|
|
|
decoder.SetRanges(session_counter_bits, file_number_bits, offset_bits);
|
|
|
|
|
|
|
|
uint64_t session_counter = r.Next() & decoder.session_counter_mask;
|
|
|
|
uint64_t file_number = r.Next() & decoder.file_number_mask;
|
|
|
|
if (file_number == 0) {
|
|
|
|
// Minimum
|
|
|
|
file_number = 1;
|
2022-02-04 22:15:06 +00:00
|
|
|
}
|
Derive cache keys from SST unique IDs (#10394)
Summary:
... so that cache keys can be derived from DB manifest data
before reading the file from storage--so that every part of the file
can potentially go in a persistent cache.
See updated comments in cache_key.cc for technical details. Importantly,
the new cache key encoding uses some fancy but efficient math to pack
data into the cache key without depending on the sizes of the various
pieces. This simplifies some existing code creating cache keys, like
cache warming before the file size is known.
This should provide us an essentially permanent mapping between SST
unique IDs and base cache keys, with the ability to "upgrade" SST
unique IDs (and thus cache keys) with new SST format_versions.
These cache keys are of similar, perhaps indistinguishable quality to
the previous generation. Before this change (see "corrected" days
between collision):
```
./cache_bench -stress_cache_key -sck_keep_bits=43
18 collisions after 2 x 90 days, est 10 days between (1.15292e+19 corrected)
```
After this change (keep 43 bits, up through 50, to validate "trajectory"
is ok on "corrected" days between collision):
```
19 collisions after 3 x 90 days, est 14.2105 days between (1.63836e+19 corrected)
16 collisions after 5 x 90 days, est 28.125 days between (1.6213e+19 corrected)
15 collisions after 7 x 90 days, est 42 days between (1.21057e+19 corrected)
15 collisions after 17 x 90 days, est 102 days between (1.46997e+19 corrected)
15 collisions after 49 x 90 days, est 294 days between (2.11849e+19 corrected)
15 collisions after 62 x 90 days, est 372 days between (1.34027e+19 corrected)
15 collisions after 53 x 90 days, est 318 days between (5.72858e+18 corrected)
15 collisions after 309 x 90 days, est 1854 days between (1.66994e+19 corrected)
```
However, the change does modify (probably weaken) the "guaranteed unique" promise from this
> SST files generated in a single process are guaranteed to have unique cache keys, unless/until number session ids * max file number = 2**86
to this (see https://github.com/facebook/rocksdb/issues/10388)
> With the DB id limitation, we only have nice guaranteed unique cache keys for files generated in a single process until biggest session_id_counter and offset_in_file reach combined 64 bits
I don't think this is a practical concern, though.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10394
Test Plan: unit tests updated, see simulation results above
Reviewed By: jay-zhuang
Differential Revision: D38667529
Pulled By: pdillinger
fbshipit-source-id: 49af3fe7f47e5b61162809a78b76c769fd519fba
2022-08-12 20:49:49 +00:00
|
|
|
uint64_t offset = r.Next() & decoder.offset_mask;
|
|
|
|
decoder.Decode(GetCacheKey(session_counter, file_number, offset));
|
|
|
|
|
|
|
|
EXPECT_EQ(decoder.decoded_session_counter, session_counter);
|
|
|
|
EXPECT_EQ(decoder.decoded_file_num, file_number);
|
|
|
|
EXPECT_EQ(decoder.decoded_offset, offset);
|
2022-02-04 22:15:06 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2021-08-21 03:39:52 +00:00
|
|
|
INSTANTIATE_TEST_CASE_P(DBBlockCacheKeyTest, DBBlockCacheKeyTest,
|
|
|
|
::testing::Combine(::testing::Bool(),
|
|
|
|
::testing::Bool()));
|
|
|
|
|
2020-10-11 21:52:49 +00:00
|
|
|
class DBBlockCachePinningTest
|
|
|
|
: public DBTestBase,
|
|
|
|
public testing::WithParamInterface<
|
|
|
|
std::tuple<bool, PinningTier, PinningTier, PinningTier>> {
|
|
|
|
public:
|
|
|
|
DBBlockCachePinningTest()
|
2021-07-23 15:37:27 +00:00
|
|
|
: DBTestBase("db_block_cache_test", /*env_do_fsync=*/false) {}
|
2020-10-11 21:52:49 +00:00
|
|
|
|
|
|
|
void SetUp() override {
|
|
|
|
partition_index_and_filters_ = std::get<0>(GetParam());
|
|
|
|
top_level_index_pinning_ = std::get<1>(GetParam());
|
|
|
|
partition_pinning_ = std::get<2>(GetParam());
|
|
|
|
unpartitioned_pinning_ = std::get<3>(GetParam());
|
|
|
|
}
|
|
|
|
|
|
|
|
bool partition_index_and_filters_;
|
|
|
|
PinningTier top_level_index_pinning_;
|
|
|
|
PinningTier partition_pinning_;
|
|
|
|
PinningTier unpartitioned_pinning_;
|
|
|
|
};
|
|
|
|
|
|
|
|
TEST_P(DBBlockCachePinningTest, TwoLevelDB) {
|
|
|
|
// Creates one file in L0 and one file in L1. Both files have enough data that
|
|
|
|
// their index and filter blocks are partitioned. The L1 file will also have
|
|
|
|
// a compression dictionary (those are trained only during compaction), which
|
|
|
|
// must be unpartitioned.
|
|
|
|
const int kKeySize = 32;
|
|
|
|
const int kBlockSize = 128;
|
|
|
|
const int kNumBlocksPerFile = 128;
|
|
|
|
const int kNumKeysPerFile = kBlockSize * kNumBlocksPerFile / kKeySize;
|
|
|
|
|
|
|
|
Options options = CurrentOptions();
|
|
|
|
// `kNoCompression` makes the unit test more portable. But it relies on the
|
|
|
|
// current behavior of persisting/accessing dictionary even when there's no
|
|
|
|
// (de)compression happening, which seems fairly likely to change over time.
|
|
|
|
options.compression = kNoCompression;
|
|
|
|
options.compression_opts.max_dict_bytes = 4 << 10;
|
|
|
|
options.statistics = ROCKSDB_NAMESPACE::CreateDBStatistics();
|
|
|
|
BlockBasedTableOptions table_options;
|
|
|
|
table_options.block_cache = NewLRUCache(1 << 20 /* capacity */);
|
|
|
|
table_options.block_size = kBlockSize;
|
|
|
|
table_options.metadata_block_size = kBlockSize;
|
|
|
|
table_options.cache_index_and_filter_blocks = true;
|
|
|
|
table_options.metadata_cache_options.top_level_index_pinning =
|
|
|
|
top_level_index_pinning_;
|
|
|
|
table_options.metadata_cache_options.partition_pinning = partition_pinning_;
|
|
|
|
table_options.metadata_cache_options.unpartitioned_pinning =
|
|
|
|
unpartitioned_pinning_;
|
|
|
|
table_options.filter_policy.reset(
|
|
|
|
NewBloomFilterPolicy(10 /* bits_per_key */));
|
|
|
|
if (partition_index_and_filters_) {
|
|
|
|
table_options.index_type =
|
|
|
|
BlockBasedTableOptions::IndexType::kTwoLevelIndexSearch;
|
|
|
|
table_options.partition_filters = true;
|
|
|
|
}
|
|
|
|
options.table_factory.reset(NewBlockBasedTableFactory(table_options));
|
|
|
|
Reopen(options);
|
|
|
|
|
|
|
|
Random rnd(301);
|
|
|
|
for (int i = 0; i < 2; ++i) {
|
|
|
|
for (int j = 0; j < kNumKeysPerFile; ++j) {
|
|
|
|
ASSERT_OK(Put(Key(i * kNumKeysPerFile + j), rnd.RandomString(kKeySize)));
|
|
|
|
}
|
|
|
|
ASSERT_OK(Flush());
|
|
|
|
if (i == 0) {
|
|
|
|
// Prevent trivial move so file will be rewritten with dictionary and
|
|
|
|
// reopened with L1's pinning settings.
|
|
|
|
CompactRangeOptions cro;
|
|
|
|
cro.bottommost_level_compaction = BottommostLevelCompaction::kForce;
|
|
|
|
ASSERT_OK(db_->CompactRange(cro, nullptr, nullptr));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
// Clear all unpinned blocks so unpinned blocks will show up as cache misses
|
|
|
|
// when reading a key from a file.
|
|
|
|
table_options.block_cache->EraseUnRefEntries();
|
|
|
|
|
|
|
|
// Get base cache values
|
|
|
|
uint64_t filter_misses = TestGetTickerCount(options, BLOCK_CACHE_FILTER_MISS);
|
|
|
|
uint64_t index_misses = TestGetTickerCount(options, BLOCK_CACHE_INDEX_MISS);
|
|
|
|
uint64_t compression_dict_misses =
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSION_DICT_MISS);
|
|
|
|
|
|
|
|
// Read a key from the L0 file
|
|
|
|
Get(Key(kNumKeysPerFile));
|
|
|
|
uint64_t expected_filter_misses = filter_misses;
|
|
|
|
uint64_t expected_index_misses = index_misses;
|
|
|
|
uint64_t expected_compression_dict_misses = compression_dict_misses;
|
|
|
|
if (partition_index_and_filters_) {
|
|
|
|
if (top_level_index_pinning_ == PinningTier::kNone) {
|
|
|
|
++expected_filter_misses;
|
|
|
|
++expected_index_misses;
|
|
|
|
}
|
|
|
|
if (partition_pinning_ == PinningTier::kNone) {
|
|
|
|
++expected_filter_misses;
|
|
|
|
++expected_index_misses;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
if (unpartitioned_pinning_ == PinningTier::kNone) {
|
|
|
|
++expected_filter_misses;
|
|
|
|
++expected_index_misses;
|
|
|
|
}
|
|
|
|
}
|
2020-11-03 03:20:15 +00:00
|
|
|
if (unpartitioned_pinning_ == PinningTier::kNone) {
|
|
|
|
++expected_compression_dict_misses;
|
|
|
|
}
|
2020-10-11 21:52:49 +00:00
|
|
|
ASSERT_EQ(expected_filter_misses,
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_FILTER_MISS));
|
|
|
|
ASSERT_EQ(expected_index_misses,
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_INDEX_MISS));
|
|
|
|
ASSERT_EQ(expected_compression_dict_misses,
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSION_DICT_MISS));
|
|
|
|
|
|
|
|
// Clear all unpinned blocks so unpinned blocks will show up as cache misses
|
|
|
|
// when reading a key from a file.
|
|
|
|
table_options.block_cache->EraseUnRefEntries();
|
|
|
|
|
|
|
|
// Read a key from the L1 file
|
|
|
|
Get(Key(0));
|
|
|
|
if (partition_index_and_filters_) {
|
|
|
|
if (top_level_index_pinning_ == PinningTier::kNone ||
|
|
|
|
top_level_index_pinning_ == PinningTier::kFlushedAndSimilar) {
|
|
|
|
++expected_filter_misses;
|
|
|
|
++expected_index_misses;
|
|
|
|
}
|
|
|
|
if (partition_pinning_ == PinningTier::kNone ||
|
|
|
|
partition_pinning_ == PinningTier::kFlushedAndSimilar) {
|
|
|
|
++expected_filter_misses;
|
|
|
|
++expected_index_misses;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
if (unpartitioned_pinning_ == PinningTier::kNone ||
|
|
|
|
unpartitioned_pinning_ == PinningTier::kFlushedAndSimilar) {
|
|
|
|
++expected_filter_misses;
|
|
|
|
++expected_index_misses;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (unpartitioned_pinning_ == PinningTier::kNone ||
|
|
|
|
unpartitioned_pinning_ == PinningTier::kFlushedAndSimilar) {
|
|
|
|
++expected_compression_dict_misses;
|
|
|
|
}
|
|
|
|
ASSERT_EQ(expected_filter_misses,
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_FILTER_MISS));
|
|
|
|
ASSERT_EQ(expected_index_misses,
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_INDEX_MISS));
|
|
|
|
ASSERT_EQ(expected_compression_dict_misses,
|
|
|
|
TestGetTickerCount(options, BLOCK_CACHE_COMPRESSION_DICT_MISS));
|
|
|
|
}
|
|
|
|
|
|
|
|
INSTANTIATE_TEST_CASE_P(
|
|
|
|
DBBlockCachePinningTest, DBBlockCachePinningTest,
|
|
|
|
::testing::Combine(
|
|
|
|
::testing::Bool(),
|
|
|
|
::testing::Values(PinningTier::kNone, PinningTier::kFlushedAndSimilar,
|
|
|
|
PinningTier::kAll),
|
|
|
|
::testing::Values(PinningTier::kNone, PinningTier::kFlushedAndSimilar,
|
|
|
|
PinningTier::kAll),
|
|
|
|
::testing::Values(PinningTier::kNone, PinningTier::kFlushedAndSimilar,
|
|
|
|
PinningTier::kAll)));
|
|
|
|
|
2020-02-20 20:07:53 +00:00
|
|
|
} // namespace ROCKSDB_NAMESPACE
|
2016-03-11 01:35:19 +00:00
|
|
|
|
|
|
|
int main(int argc, char** argv) {
|
2020-02-20 20:07:53 +00:00
|
|
|
ROCKSDB_NAMESPACE::port::InstallStackTraceHandler();
|
2016-03-11 01:35:19 +00:00
|
|
|
::testing::InitGoogleTest(&argc, argv);
|
|
|
|
return RUN_ALL_TESTS();
|
|
|
|
}
|