2016-02-09 23:12:00 +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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2014-09-29 18:09:09 +00:00
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#include "table/get_context.h"
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2016-06-13 23:17:26 +00:00
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#include "db/merge_helper.h"
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Introduce FullMergeV2 (eliminate memcpy from merge operators)
Summary:
This diff update the code to pin the merge operator operands while the merge operation is done, so that we can eliminate the memcpy cost, to do that we need a new public API for FullMerge that replace the std::deque<std::string> with std::vector<Slice>
This diff is stacked on top of D56493 and D56511
In this diff we
- Update FullMergeV2 arguments to be encapsulated in MergeOperationInput and MergeOperationOutput which will make it easier to add new arguments in the future
- Replace std::deque<std::string> with std::vector<Slice> to pass operands
- Replace MergeContext std::deque with std::vector (based on a simple benchmark I ran https://gist.github.com/IslamAbdelRahman/78fc86c9ab9f52b1df791e58943fb187)
- Allow FullMergeV2 output to be an existing operand
```
[Everything in Memtable | 10K operands | 10 KB each | 1 operand per key]
DEBUG_LEVEL=0 make db_bench -j64 && ./db_bench --benchmarks="mergerandom,readseq,readseq,readseq,readseq,readseq" --merge_operator="max" --merge_keys=10000 --num=10000 --disable_auto_compactions --value_size=10240 --write_buffer_size=1000000000
[FullMergeV2]
readseq : 0.607 micros/op 1648235 ops/sec; 16121.2 MB/s
readseq : 0.478 micros/op 2091546 ops/sec; 20457.2 MB/s
readseq : 0.252 micros/op 3972081 ops/sec; 38850.5 MB/s
readseq : 0.237 micros/op 4218328 ops/sec; 41259.0 MB/s
readseq : 0.247 micros/op 4043927 ops/sec; 39553.2 MB/s
[master]
readseq : 3.935 micros/op 254140 ops/sec; 2485.7 MB/s
readseq : 3.722 micros/op 268657 ops/sec; 2627.7 MB/s
readseq : 3.149 micros/op 317605 ops/sec; 3106.5 MB/s
readseq : 3.125 micros/op 320024 ops/sec; 3130.1 MB/s
readseq : 4.075 micros/op 245374 ops/sec; 2400.0 MB/s
```
```
[Everything in Memtable | 10K operands | 10 KB each | 10 operand per key]
DEBUG_LEVEL=0 make db_bench -j64 && ./db_bench --benchmarks="mergerandom,readseq,readseq,readseq,readseq,readseq" --merge_operator="max" --merge_keys=1000 --num=10000 --disable_auto_compactions --value_size=10240 --write_buffer_size=1000000000
[FullMergeV2]
readseq : 3.472 micros/op 288018 ops/sec; 2817.1 MB/s
readseq : 2.304 micros/op 434027 ops/sec; 4245.2 MB/s
readseq : 1.163 micros/op 859845 ops/sec; 8410.0 MB/s
readseq : 1.192 micros/op 838926 ops/sec; 8205.4 MB/s
readseq : 1.250 micros/op 800000 ops/sec; 7824.7 MB/s
[master]
readseq : 24.025 micros/op 41623 ops/sec; 407.1 MB/s
readseq : 18.489 micros/op 54086 ops/sec; 529.0 MB/s
readseq : 18.693 micros/op 53495 ops/sec; 523.2 MB/s
readseq : 23.621 micros/op 42335 ops/sec; 414.1 MB/s
readseq : 18.775 micros/op 53262 ops/sec; 521.0 MB/s
```
```
[Everything in Block cache | 10K operands | 10 KB each | 1 operand per key]
[FullMergeV2]
$ DEBUG_LEVEL=0 make db_bench -j64 && ./db_bench --benchmarks="readseq,readseq,readseq,readseq,readseq" --merge_operator="max" --num=100000 --db="/dev/shm/merge-random-10K-10KB" --cache_size=1000000000 --use_existing_db --disable_auto_compactions
readseq : 14.741 micros/op 67837 ops/sec; 663.5 MB/s
readseq : 1.029 micros/op 971446 ops/sec; 9501.6 MB/s
readseq : 0.974 micros/op 1026229 ops/sec; 10037.4 MB/s
readseq : 0.965 micros/op 1036080 ops/sec; 10133.8 MB/s
readseq : 0.943 micros/op 1060657 ops/sec; 10374.2 MB/s
[master]
readseq : 16.735 micros/op 59755 ops/sec; 584.5 MB/s
readseq : 3.029 micros/op 330151 ops/sec; 3229.2 MB/s
readseq : 3.136 micros/op 318883 ops/sec; 3119.0 MB/s
readseq : 3.065 micros/op 326245 ops/sec; 3191.0 MB/s
readseq : 3.014 micros/op 331813 ops/sec; 3245.4 MB/s
```
```
[Everything in Block cache | 10K operands | 10 KB each | 10 operand per key]
DEBUG_LEVEL=0 make db_bench -j64 && ./db_bench --benchmarks="readseq,readseq,readseq,readseq,readseq" --merge_operator="max" --num=100000 --db="/dev/shm/merge-random-10-operands-10K-10KB" --cache_size=1000000000 --use_existing_db --disable_auto_compactions
[FullMergeV2]
readseq : 24.325 micros/op 41109 ops/sec; 402.1 MB/s
readseq : 1.470 micros/op 680272 ops/sec; 6653.7 MB/s
readseq : 1.231 micros/op 812347 ops/sec; 7945.5 MB/s
readseq : 1.091 micros/op 916590 ops/sec; 8965.1 MB/s
readseq : 1.109 micros/op 901713 ops/sec; 8819.6 MB/s
[master]
readseq : 27.257 micros/op 36687 ops/sec; 358.8 MB/s
readseq : 4.443 micros/op 225073 ops/sec; 2201.4 MB/s
readseq : 5.830 micros/op 171526 ops/sec; 1677.7 MB/s
readseq : 4.173 micros/op 239635 ops/sec; 2343.8 MB/s
readseq : 4.150 micros/op 240963 ops/sec; 2356.8 MB/s
```
Test Plan: COMPILE_WITH_ASAN=1 make check -j64
Reviewers: yhchiang, andrewkr, sdong
Reviewed By: sdong
Subscribers: lovro, andrewkr, dhruba
Differential Revision: https://reviews.facebook.net/D57075
2016-07-20 16:49:03 +00:00
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#include "db/pinned_iterators_manager.h"
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2017-09-11 15:58:52 +00:00
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#include "db/read_callback.h"
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2017-06-12 13:58:25 +00:00
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#include "monitoring/file_read_sample.h"
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2017-04-06 02:02:00 +00:00
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#include "monitoring/perf_context_imp.h"
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#include "monitoring/statistics.h"
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2015-03-03 18:59:36 +00:00
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#include "rocksdb/env.h"
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2014-09-29 18:09:09 +00:00
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#include "rocksdb/merge_operator.h"
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#include "rocksdb/statistics.h"
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namespace rocksdb {
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2015-06-23 17:25:45 +00:00
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namespace {
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void appendToReplayLog(std::string* replay_log, ValueType type, Slice value) {
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#ifndef ROCKSDB_LITE
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if (replay_log) {
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if (replay_log->empty()) {
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// Optimization: in the common case of only one operation in the
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// log, we allocate the exact amount of space needed.
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replay_log->reserve(1 + VarintLength(value.size()) + value.size());
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}
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replay_log->push_back(type);
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PutLengthPrefixedSlice(replay_log, value);
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}
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#endif // ROCKSDB_LITE
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}
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} // namespace
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2017-10-03 16:08:07 +00:00
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GetContext::GetContext(const Comparator* ucmp,
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const MergeOperator* merge_operator, Logger* logger,
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Statistics* statistics, GetState init_state,
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const Slice& user_key, PinnableSlice* pinnable_val,
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bool* value_found, MergeContext* merge_context,
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RangeDelAggregator* _range_del_agg, Env* env,
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SequenceNumber* seq,
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PinnedIteratorsManager* _pinned_iters_mgr,
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ReadCallback* callback, bool* is_blob_index)
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2015-03-03 18:59:36 +00:00
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: ucmp_(ucmp),
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merge_operator_(merge_operator),
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logger_(logger),
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statistics_(statistics),
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state_(init_state),
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user_key_(user_key),
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2017-03-13 18:44:50 +00:00
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pinnable_val_(pinnable_val),
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2015-03-03 18:59:36 +00:00
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value_found_(value_found),
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merge_context_(merge_context),
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2016-11-16 01:18:32 +00:00
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range_del_agg_(_range_del_agg),
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2015-06-23 17:25:45 +00:00
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env_(env),
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Use SST files for Transaction conflict detection
Summary:
Currently, transactions can fail even if there is no actual write conflict. This is due to relying on only the memtables to check for write-conflicts. Users have to tune memtable settings to try to avoid this, but it's hard to figure out exactly how to tune these settings.
With this diff, TransactionDB will use both memtables and SST files to determine if there are any write conflicts. This relies on the fact that BlockBasedTable stores sequence numbers for all writes that happen after any open snapshot. Also, D50295 is needed to prevent SingleDelete from disappearing writes (the TODOs in this test code will be fixed once the other diff is approved and merged).
Note that Optimistic transactions will still rely on tuning memtable settings as we do not want to read from SST while on the write thread. Also, memtable settings can still be used to reduce how often TransactionDB needs to read SST files.
Test Plan: unit tests, db bench
Reviewers: rven, yhchiang, kradhakrishnan, IslamAbdelRahman, sdong
Reviewed By: sdong
Subscribers: dhruba, leveldb, yoshinorim
Differential Revision: https://reviews.facebook.net/D50475
2015-10-15 23:37:15 +00:00
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seq_(seq),
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Introduce FullMergeV2 (eliminate memcpy from merge operators)
Summary:
This diff update the code to pin the merge operator operands while the merge operation is done, so that we can eliminate the memcpy cost, to do that we need a new public API for FullMerge that replace the std::deque<std::string> with std::vector<Slice>
This diff is stacked on top of D56493 and D56511
In this diff we
- Update FullMergeV2 arguments to be encapsulated in MergeOperationInput and MergeOperationOutput which will make it easier to add new arguments in the future
- Replace std::deque<std::string> with std::vector<Slice> to pass operands
- Replace MergeContext std::deque with std::vector (based on a simple benchmark I ran https://gist.github.com/IslamAbdelRahman/78fc86c9ab9f52b1df791e58943fb187)
- Allow FullMergeV2 output to be an existing operand
```
[Everything in Memtable | 10K operands | 10 KB each | 1 operand per key]
DEBUG_LEVEL=0 make db_bench -j64 && ./db_bench --benchmarks="mergerandom,readseq,readseq,readseq,readseq,readseq" --merge_operator="max" --merge_keys=10000 --num=10000 --disable_auto_compactions --value_size=10240 --write_buffer_size=1000000000
[FullMergeV2]
readseq : 0.607 micros/op 1648235 ops/sec; 16121.2 MB/s
readseq : 0.478 micros/op 2091546 ops/sec; 20457.2 MB/s
readseq : 0.252 micros/op 3972081 ops/sec; 38850.5 MB/s
readseq : 0.237 micros/op 4218328 ops/sec; 41259.0 MB/s
readseq : 0.247 micros/op 4043927 ops/sec; 39553.2 MB/s
[master]
readseq : 3.935 micros/op 254140 ops/sec; 2485.7 MB/s
readseq : 3.722 micros/op 268657 ops/sec; 2627.7 MB/s
readseq : 3.149 micros/op 317605 ops/sec; 3106.5 MB/s
readseq : 3.125 micros/op 320024 ops/sec; 3130.1 MB/s
readseq : 4.075 micros/op 245374 ops/sec; 2400.0 MB/s
```
```
[Everything in Memtable | 10K operands | 10 KB each | 10 operand per key]
DEBUG_LEVEL=0 make db_bench -j64 && ./db_bench --benchmarks="mergerandom,readseq,readseq,readseq,readseq,readseq" --merge_operator="max" --merge_keys=1000 --num=10000 --disable_auto_compactions --value_size=10240 --write_buffer_size=1000000000
[FullMergeV2]
readseq : 3.472 micros/op 288018 ops/sec; 2817.1 MB/s
readseq : 2.304 micros/op 434027 ops/sec; 4245.2 MB/s
readseq : 1.163 micros/op 859845 ops/sec; 8410.0 MB/s
readseq : 1.192 micros/op 838926 ops/sec; 8205.4 MB/s
readseq : 1.250 micros/op 800000 ops/sec; 7824.7 MB/s
[master]
readseq : 24.025 micros/op 41623 ops/sec; 407.1 MB/s
readseq : 18.489 micros/op 54086 ops/sec; 529.0 MB/s
readseq : 18.693 micros/op 53495 ops/sec; 523.2 MB/s
readseq : 23.621 micros/op 42335 ops/sec; 414.1 MB/s
readseq : 18.775 micros/op 53262 ops/sec; 521.0 MB/s
```
```
[Everything in Block cache | 10K operands | 10 KB each | 1 operand per key]
[FullMergeV2]
$ DEBUG_LEVEL=0 make db_bench -j64 && ./db_bench --benchmarks="readseq,readseq,readseq,readseq,readseq" --merge_operator="max" --num=100000 --db="/dev/shm/merge-random-10K-10KB" --cache_size=1000000000 --use_existing_db --disable_auto_compactions
readseq : 14.741 micros/op 67837 ops/sec; 663.5 MB/s
readseq : 1.029 micros/op 971446 ops/sec; 9501.6 MB/s
readseq : 0.974 micros/op 1026229 ops/sec; 10037.4 MB/s
readseq : 0.965 micros/op 1036080 ops/sec; 10133.8 MB/s
readseq : 0.943 micros/op 1060657 ops/sec; 10374.2 MB/s
[master]
readseq : 16.735 micros/op 59755 ops/sec; 584.5 MB/s
readseq : 3.029 micros/op 330151 ops/sec; 3229.2 MB/s
readseq : 3.136 micros/op 318883 ops/sec; 3119.0 MB/s
readseq : 3.065 micros/op 326245 ops/sec; 3191.0 MB/s
readseq : 3.014 micros/op 331813 ops/sec; 3245.4 MB/s
```
```
[Everything in Block cache | 10K operands | 10 KB each | 10 operand per key]
DEBUG_LEVEL=0 make db_bench -j64 && ./db_bench --benchmarks="readseq,readseq,readseq,readseq,readseq" --merge_operator="max" --num=100000 --db="/dev/shm/merge-random-10-operands-10K-10KB" --cache_size=1000000000 --use_existing_db --disable_auto_compactions
[FullMergeV2]
readseq : 24.325 micros/op 41109 ops/sec; 402.1 MB/s
readseq : 1.470 micros/op 680272 ops/sec; 6653.7 MB/s
readseq : 1.231 micros/op 812347 ops/sec; 7945.5 MB/s
readseq : 1.091 micros/op 916590 ops/sec; 8965.1 MB/s
readseq : 1.109 micros/op 901713 ops/sec; 8819.6 MB/s
[master]
readseq : 27.257 micros/op 36687 ops/sec; 358.8 MB/s
readseq : 4.443 micros/op 225073 ops/sec; 2201.4 MB/s
readseq : 5.830 micros/op 171526 ops/sec; 1677.7 MB/s
readseq : 4.173 micros/op 239635 ops/sec; 2343.8 MB/s
readseq : 4.150 micros/op 240963 ops/sec; 2356.8 MB/s
```
Test Plan: COMPILE_WITH_ASAN=1 make check -j64
Reviewers: yhchiang, andrewkr, sdong
Reviewed By: sdong
Subscribers: lovro, andrewkr, dhruba
Differential Revision: https://reviews.facebook.net/D57075
2016-07-20 16:49:03 +00:00
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replay_log_(nullptr),
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2017-09-11 15:58:52 +00:00
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pinned_iters_mgr_(_pinned_iters_mgr),
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2017-10-03 16:08:07 +00:00
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callback_(callback),
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is_blob_index_(is_blob_index) {
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Use SST files for Transaction conflict detection
Summary:
Currently, transactions can fail even if there is no actual write conflict. This is due to relying on only the memtables to check for write-conflicts. Users have to tune memtable settings to try to avoid this, but it's hard to figure out exactly how to tune these settings.
With this diff, TransactionDB will use both memtables and SST files to determine if there are any write conflicts. This relies on the fact that BlockBasedTable stores sequence numbers for all writes that happen after any open snapshot. Also, D50295 is needed to prevent SingleDelete from disappearing writes (the TODOs in this test code will be fixed once the other diff is approved and merged).
Note that Optimistic transactions will still rely on tuning memtable settings as we do not want to read from SST while on the write thread. Also, memtable settings can still be used to reduce how often TransactionDB needs to read SST files.
Test Plan: unit tests, db bench
Reviewers: rven, yhchiang, kradhakrishnan, IslamAbdelRahman, sdong
Reviewed By: sdong
Subscribers: dhruba, leveldb, yoshinorim
Differential Revision: https://reviews.facebook.net/D50475
2015-10-15 23:37:15 +00:00
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if (seq_) {
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*seq_ = kMaxSequenceNumber;
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}
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2017-06-12 13:58:25 +00:00
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sample_ = should_sample_file_read();
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Use SST files for Transaction conflict detection
Summary:
Currently, transactions can fail even if there is no actual write conflict. This is due to relying on only the memtables to check for write-conflicts. Users have to tune memtable settings to try to avoid this, but it's hard to figure out exactly how to tune these settings.
With this diff, TransactionDB will use both memtables and SST files to determine if there are any write conflicts. This relies on the fact that BlockBasedTable stores sequence numbers for all writes that happen after any open snapshot. Also, D50295 is needed to prevent SingleDelete from disappearing writes (the TODOs in this test code will be fixed once the other diff is approved and merged).
Note that Optimistic transactions will still rely on tuning memtable settings as we do not want to read from SST while on the write thread. Also, memtable settings can still be used to reduce how often TransactionDB needs to read SST files.
Test Plan: unit tests, db bench
Reviewers: rven, yhchiang, kradhakrishnan, IslamAbdelRahman, sdong
Reviewed By: sdong
Subscribers: dhruba, leveldb, yoshinorim
Differential Revision: https://reviews.facebook.net/D50475
2015-10-15 23:37:15 +00:00
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}
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2014-09-29 18:09:09 +00:00
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// Called from TableCache::Get and Table::Get when file/block in which
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// key may exist are not there in TableCache/BlockCache respectively. In this
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// case we can't guarantee that key does not exist and are not permitted to do
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// IO to be certain.Set the status=kFound and value_found=false to let the
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// caller know that key may exist but is not there in memory
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void GetContext::MarkKeyMayExist() {
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state_ = kFound;
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if (value_found_ != nullptr) {
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*value_found_ = false;
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}
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}
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2017-07-22 01:13:59 +00:00
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void GetContext::SaveValue(const Slice& value, SequenceNumber seq) {
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2015-06-23 17:25:45 +00:00
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assert(state_ == kNotFound);
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appendToReplayLog(replay_log_, kTypeValue, value);
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2014-09-29 18:09:09 +00:00
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state_ = kFound;
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2017-03-13 18:44:50 +00:00
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if (LIKELY(pinnable_val_ != nullptr)) {
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pinnable_val_->PinSelf(value);
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2015-12-22 00:57:04 +00:00
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}
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2014-09-29 18:09:09 +00:00
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}
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2017-12-13 05:06:26 +00:00
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void GetContext::RecordCounters(Tickers ticker, size_t val) {
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if (ticker == Tickers::TICKER_ENUM_MAX) {
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return;
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}
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tickers_value[ticker] += static_cast<uint64_t>(val);
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}
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2014-09-29 18:09:09 +00:00
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bool GetContext::SaveValue(const ParsedInternalKey& parsed_key,
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2017-03-13 18:44:50 +00:00
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const Slice& value, Cleanable* value_pinner) {
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2014-09-29 18:09:09 +00:00
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assert((state_ != kMerge && parsed_key.type != kTypeMerge) ||
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merge_context_ != nullptr);
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2015-09-08 22:30:49 +00:00
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if (ucmp_->Equal(parsed_key.user_key, user_key_)) {
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2017-09-11 15:58:52 +00:00
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// If the value is not in the snapshot, skip it
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if (!CheckCallback(parsed_key.sequence)) {
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return true; // to continue to the next seq
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}
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2015-06-23 17:25:45 +00:00
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appendToReplayLog(replay_log_, parsed_key.type, value);
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Use SST files for Transaction conflict detection
Summary:
Currently, transactions can fail even if there is no actual write conflict. This is due to relying on only the memtables to check for write-conflicts. Users have to tune memtable settings to try to avoid this, but it's hard to figure out exactly how to tune these settings.
With this diff, TransactionDB will use both memtables and SST files to determine if there are any write conflicts. This relies on the fact that BlockBasedTable stores sequence numbers for all writes that happen after any open snapshot. Also, D50295 is needed to prevent SingleDelete from disappearing writes (the TODOs in this test code will be fixed once the other diff is approved and merged).
Note that Optimistic transactions will still rely on tuning memtable settings as we do not want to read from SST while on the write thread. Also, memtable settings can still be used to reduce how often TransactionDB needs to read SST files.
Test Plan: unit tests, db bench
Reviewers: rven, yhchiang, kradhakrishnan, IslamAbdelRahman, sdong
Reviewed By: sdong
Subscribers: dhruba, leveldb, yoshinorim
Differential Revision: https://reviews.facebook.net/D50475
2015-10-15 23:37:15 +00:00
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if (seq_ != nullptr) {
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// Set the sequence number if it is uninitialized
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if (*seq_ == kMaxSequenceNumber) {
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*seq_ = parsed_key.sequence;
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}
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}
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2016-11-04 01:40:23 +00:00
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auto type = parsed_key.type;
|
2014-09-29 18:09:09 +00:00
|
|
|
// Key matches. Process it
|
2017-10-03 16:08:07 +00:00
|
|
|
if ((type == kTypeValue || type == kTypeMerge || type == kTypeBlobIndex) &&
|
2016-11-04 01:40:23 +00:00
|
|
|
range_del_agg_ != nullptr && range_del_agg_->ShouldDelete(parsed_key)) {
|
|
|
|
type = kTypeRangeDeletion;
|
|
|
|
}
|
|
|
|
switch (type) {
|
2014-09-29 18:09:09 +00:00
|
|
|
case kTypeValue:
|
2017-10-03 16:08:07 +00:00
|
|
|
case kTypeBlobIndex:
|
2014-09-29 18:09:09 +00:00
|
|
|
assert(state_ == kNotFound || state_ == kMerge);
|
2017-10-03 16:08:07 +00:00
|
|
|
if (type == kTypeBlobIndex && is_blob_index_ == nullptr) {
|
|
|
|
// Blob value not supported. Stop.
|
|
|
|
state_ = kBlobIndex;
|
|
|
|
return false;
|
|
|
|
}
|
2014-09-29 18:09:09 +00:00
|
|
|
if (kNotFound == state_) {
|
|
|
|
state_ = kFound;
|
2017-03-13 18:44:50 +00:00
|
|
|
if (LIKELY(pinnable_val_ != nullptr)) {
|
|
|
|
if (LIKELY(value_pinner != nullptr)) {
|
|
|
|
// If the backing resources for the value are provided, pin them
|
|
|
|
pinnable_val_->PinSlice(value, value_pinner);
|
|
|
|
} else {
|
|
|
|
// Otherwise copy the value
|
|
|
|
pinnable_val_->PinSelf(value);
|
|
|
|
}
|
2015-12-22 00:57:04 +00:00
|
|
|
}
|
2014-09-29 18:09:09 +00:00
|
|
|
} else if (kMerge == state_) {
|
|
|
|
assert(merge_operator_ != nullptr);
|
|
|
|
state_ = kFound;
|
2017-03-13 18:44:50 +00:00
|
|
|
if (LIKELY(pinnable_val_ != nullptr)) {
|
2016-11-04 01:40:23 +00:00
|
|
|
Status merge_status = MergeHelper::TimedFullMerge(
|
|
|
|
merge_operator_, user_key_, &value,
|
2017-03-13 18:44:50 +00:00
|
|
|
merge_context_->GetOperands(), pinnable_val_->GetSelf(),
|
|
|
|
logger_, statistics_, env_);
|
|
|
|
pinnable_val_->PinSelf();
|
2016-06-13 23:17:26 +00:00
|
|
|
if (!merge_status.ok()) {
|
2015-12-22 00:57:04 +00:00
|
|
|
state_ = kCorrupt;
|
|
|
|
}
|
2014-09-29 18:09:09 +00:00
|
|
|
}
|
|
|
|
}
|
2017-10-03 16:08:07 +00:00
|
|
|
if (is_blob_index_ != nullptr) {
|
|
|
|
*is_blob_index_ = (type == kTypeBlobIndex);
|
|
|
|
}
|
2014-09-29 18:09:09 +00:00
|
|
|
return false;
|
|
|
|
|
|
|
|
case kTypeDeletion:
|
Support for SingleDelete()
Summary:
This patch fixes #7460559. It introduces SingleDelete as a new database
operation. This operation can be used to delete keys that were never
overwritten (no put following another put of the same key). If an overwritten
key is single deleted the behavior is undefined. Single deletion of a
non-existent key has no effect but multiple consecutive single deletions are
not allowed (see limitations).
In contrast to the conventional Delete() operation, the deletion entry is
removed along with the value when the two are lined up in a compaction. Note:
The semantics are similar to @igor's prototype that allowed to have this
behavior on the granularity of a column family (
https://reviews.facebook.net/D42093 ). This new patch, however, is more
aggressive when it comes to removing tombstones: It removes the SingleDelete
together with the value whenever there is no snapshot between them while the
older patch only did this when the sequence number of the deletion was older
than the earliest snapshot.
Most of the complex additions are in the Compaction Iterator, all other changes
should be relatively straightforward. The patch also includes basic support for
single deletions in db_stress and db_bench.
Limitations:
- Not compatible with cuckoo hash tables
- Single deletions cannot be used in combination with merges and normal
deletions on the same key (other keys are not affected by this)
- Consecutive single deletions are currently not allowed (and older version of
this patch supported this so it could be resurrected if needed)
Test Plan: make all check
Reviewers: yhchiang, sdong, rven, anthony, yoshinorim, igor
Reviewed By: igor
Subscribers: maykov, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D43179
2015-09-17 18:42:56 +00:00
|
|
|
case kTypeSingleDeletion:
|
2016-11-04 01:40:23 +00:00
|
|
|
case kTypeRangeDeletion:
|
Support for SingleDelete()
Summary:
This patch fixes #7460559. It introduces SingleDelete as a new database
operation. This operation can be used to delete keys that were never
overwritten (no put following another put of the same key). If an overwritten
key is single deleted the behavior is undefined. Single deletion of a
non-existent key has no effect but multiple consecutive single deletions are
not allowed (see limitations).
In contrast to the conventional Delete() operation, the deletion entry is
removed along with the value when the two are lined up in a compaction. Note:
The semantics are similar to @igor's prototype that allowed to have this
behavior on the granularity of a column family (
https://reviews.facebook.net/D42093 ). This new patch, however, is more
aggressive when it comes to removing tombstones: It removes the SingleDelete
together with the value whenever there is no snapshot between them while the
older patch only did this when the sequence number of the deletion was older
than the earliest snapshot.
Most of the complex additions are in the Compaction Iterator, all other changes
should be relatively straightforward. The patch also includes basic support for
single deletions in db_stress and db_bench.
Limitations:
- Not compatible with cuckoo hash tables
- Single deletions cannot be used in combination with merges and normal
deletions on the same key (other keys are not affected by this)
- Consecutive single deletions are currently not allowed (and older version of
this patch supported this so it could be resurrected if needed)
Test Plan: make all check
Reviewers: yhchiang, sdong, rven, anthony, yoshinorim, igor
Reviewed By: igor
Subscribers: maykov, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D43179
2015-09-17 18:42:56 +00:00
|
|
|
// TODO(noetzli): Verify correctness once merge of single-deletes
|
|
|
|
// is supported
|
2014-09-29 18:09:09 +00:00
|
|
|
assert(state_ == kNotFound || state_ == kMerge);
|
|
|
|
if (kNotFound == state_) {
|
|
|
|
state_ = kDeleted;
|
|
|
|
} else if (kMerge == state_) {
|
|
|
|
state_ = kFound;
|
2017-03-13 18:44:50 +00:00
|
|
|
if (LIKELY(pinnable_val_ != nullptr)) {
|
|
|
|
Status merge_status = MergeHelper::TimedFullMerge(
|
|
|
|
merge_operator_, user_key_, nullptr,
|
|
|
|
merge_context_->GetOperands(), pinnable_val_->GetSelf(),
|
|
|
|
logger_, statistics_, env_);
|
|
|
|
pinnable_val_->PinSelf();
|
2016-06-13 23:17:26 +00:00
|
|
|
if (!merge_status.ok()) {
|
2015-12-22 00:57:04 +00:00
|
|
|
state_ = kCorrupt;
|
|
|
|
}
|
2014-09-29 18:09:09 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
return false;
|
|
|
|
|
|
|
|
case kTypeMerge:
|
|
|
|
assert(state_ == kNotFound || state_ == kMerge);
|
|
|
|
state_ = kMerge;
|
2017-03-13 18:44:50 +00:00
|
|
|
// value_pinner is not set from plain_table_reader.cc for example.
|
|
|
|
if (pinned_iters_mgr() && pinned_iters_mgr()->PinningEnabled() &&
|
|
|
|
value_pinner != nullptr) {
|
|
|
|
value_pinner->DelegateCleanupsTo(pinned_iters_mgr());
|
|
|
|
merge_context_->PushOperand(value, true /*value_pinned*/);
|
|
|
|
} else {
|
|
|
|
merge_context_->PushOperand(value, false);
|
|
|
|
}
|
2017-09-28 22:49:05 +00:00
|
|
|
if (merge_operator_ != nullptr &&
|
|
|
|
merge_operator_->ShouldMerge(merge_context_->GetOperands())) {
|
|
|
|
state_ = kFound;
|
|
|
|
if (LIKELY(pinnable_val_ != nullptr)) {
|
|
|
|
Status merge_status = MergeHelper::TimedFullMerge(
|
|
|
|
merge_operator_, user_key_, nullptr,
|
|
|
|
merge_context_->GetOperands(), pinnable_val_->GetSelf(),
|
|
|
|
logger_, statistics_, env_);
|
|
|
|
pinnable_val_->PinSelf();
|
|
|
|
if (!merge_status.ok()) {
|
|
|
|
state_ = kCorrupt;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return false;
|
|
|
|
}
|
2014-09-29 18:09:09 +00:00
|
|
|
return true;
|
|
|
|
|
|
|
|
default:
|
|
|
|
assert(false);
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
// state_ could be Corrupt, merge or notfound
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
|
2015-06-23 17:25:45 +00:00
|
|
|
void replayGetContextLog(const Slice& replay_log, const Slice& user_key,
|
2017-07-17 21:53:15 +00:00
|
|
|
GetContext* get_context, Cleanable* value_pinner) {
|
2015-06-23 17:25:45 +00:00
|
|
|
#ifndef ROCKSDB_LITE
|
|
|
|
Slice s = replay_log;
|
|
|
|
while (s.size()) {
|
|
|
|
auto type = static_cast<ValueType>(*s.data());
|
|
|
|
s.remove_prefix(1);
|
|
|
|
Slice value;
|
|
|
|
bool ret = GetLengthPrefixedSlice(&s, &value);
|
|
|
|
assert(ret);
|
|
|
|
(void)ret;
|
Use SST files for Transaction conflict detection
Summary:
Currently, transactions can fail even if there is no actual write conflict. This is due to relying on only the memtables to check for write-conflicts. Users have to tune memtable settings to try to avoid this, but it's hard to figure out exactly how to tune these settings.
With this diff, TransactionDB will use both memtables and SST files to determine if there are any write conflicts. This relies on the fact that BlockBasedTable stores sequence numbers for all writes that happen after any open snapshot. Also, D50295 is needed to prevent SingleDelete from disappearing writes (the TODOs in this test code will be fixed once the other diff is approved and merged).
Note that Optimistic transactions will still rely on tuning memtable settings as we do not want to read from SST while on the write thread. Also, memtable settings can still be used to reduce how often TransactionDB needs to read SST files.
Test Plan: unit tests, db bench
Reviewers: rven, yhchiang, kradhakrishnan, IslamAbdelRahman, sdong
Reviewed By: sdong
Subscribers: dhruba, leveldb, yoshinorim
Differential Revision: https://reviews.facebook.net/D50475
2015-10-15 23:37:15 +00:00
|
|
|
|
|
|
|
// Since SequenceNumber is not stored and unknown, we will use
|
|
|
|
// kMaxSequenceNumber.
|
|
|
|
get_context->SaveValue(
|
2017-07-17 21:53:15 +00:00
|
|
|
ParsedInternalKey(user_key, kMaxSequenceNumber, type), value,
|
|
|
|
value_pinner);
|
2015-06-23 17:25:45 +00:00
|
|
|
}
|
|
|
|
#else // ROCKSDB_LITE
|
|
|
|
assert(false);
|
|
|
|
#endif // ROCKSDB_LITE
|
|
|
|
}
|
|
|
|
|
2014-09-29 18:09:09 +00:00
|
|
|
} // namespace rocksdb
|