Commit Graph

20 Commits

Author SHA1 Message Date
Peter Dillinger dd23e84cad Re-implement GetApproximateMemTableStats for skip lists (#13047)
Summary:
GetApproximateMemTableStats() could return some bad results with the standard skip list memtable. See this new db_bench test showing the dismal distribution of results when the actual number of entries in range is 1000:

```
$ ./db_bench --benchmarks=filluniquerandom,approximatememtablestats,readrandom --value_size=1 --num=1000000 --batch_size=1000
...
filluniquerandom :       1.391 micros/op 718915 ops/sec 1.391 seconds 1000000 operations;   11.7 MB/s
approximatememtablestats :       3.711 micros/op 269492 ops/sec 3.711 seconds 1000000 operations;
Reported entry count stats (expected 1000):
Count: 1000000 Average: 2344.1611  StdDev: 26587.27
Min: 0  Median: 965.8555  Max: 835273
Percentiles: P50: 965.86 P75: 1610.77 P99: 12618.01 P99.9: 74991.58 P99.99: 830970.97
------------------------------------------------------
[       0,       1 ]   131344  13.134%  13.134% ###
(       1,       2 ]      115   0.011%  13.146%
(       2,       3 ]      106   0.011%  13.157%
(       3,       4 ]      190   0.019%  13.176%
(       4,       6 ]      214   0.021%  13.197%
(       6,      10 ]      522   0.052%  13.249%
(      10,      15 ]      748   0.075%  13.324%
(      15,      22 ]     1002   0.100%  13.424%
(      22,      34 ]     1948   0.195%  13.619%
(      34,      51 ]     3067   0.307%  13.926%
(      51,      76 ]     4213   0.421%  14.347%
(      76,     110 ]     5721   0.572%  14.919%
(     110,     170 ]    11375   1.137%  16.056%
(     170,     250 ]    17928   1.793%  17.849%
(     250,     380 ]    36597   3.660%  21.509% #
(     380,     580 ]    77882   7.788%  29.297% ##
(     580,     870 ]   160193  16.019%  45.317% ###
(     870,    1300 ]   210098  21.010%  66.326% ####
(    1300,    1900 ]   167461  16.746%  83.072% ###
(    1900,    2900 ]    78678   7.868%  90.940% ##
(    2900,    4400 ]    47743   4.774%  95.715% #
(    4400,    6600 ]    17650   1.765%  97.480%
(    6600,    9900 ]    11895   1.190%  98.669%
(    9900,   14000 ]     4993   0.499%  99.168%
(   14000,   22000 ]     2384   0.238%  99.407%
(   22000,   33000 ]     1966   0.197%  99.603%
(   50000,   75000 ]     2968   0.297%  99.900%
(  570000,  860000 ]      999   0.100% 100.000%

readrandom   :       1.967 micros/op 508487 ops/sec 1.967 seconds 1000000 operations;    8.2 MB/s (1000000 of 1000000 found)
```

Perhaps the only good thing to say about the old implementation was that it was fast, though apparently not that fast.

I've implemented a much more robust and reasonably fast new version of the function. It's still logarithmic but with some larger constant factors. The standard deviation from true count is around 20% or less, and roughly the CPU cost of two memtable point look-ups. See code comments for detail.

```
$ ./db_bench --benchmarks=filluniquerandom,approximatememtablestats,readrandom --value_size=1 --num=1000000 --batch_size=1000
...
filluniquerandom :       1.478 micros/op 676434 ops/sec 1.478 seconds 1000000 operations;   11.0 MB/s
approximatememtablestats :       2.694 micros/op 371157 ops/sec 2.694 seconds 1000000 operations;
Reported entry count stats (expected 1000):
Count: 1000000 Average: 1073.5158  StdDev: 197.80
Min: 608  Median: 1079.9506  Max: 2176
Percentiles: P50: 1079.95 P75: 1223.69 P99: 1852.36 P99.9: 1898.70 P99.99: 2176.00
------------------------------------------------------
(     580,     870 ]   134848  13.485%  13.485% ###
(     870,    1300 ]   747868  74.787%  88.272% ###############
(    1300,    1900 ]   116536  11.654%  99.925% ##
(    1900,    2900 ]      748   0.075% 100.000%

readrandom   :       1.997 micros/op 500654 ops/sec 1.997 seconds 1000000 operations;    8.1 MB/s (1000000 of 1000000 found)
```

We can already see that the distribution of results is dramatically better and wonderfully normal-looking, with relative standard deviation around 20%. The function is also FASTER, at least with these parameters. Let's look how this behavior generalizes, first *much* larger range:

```
$ ./db_bench --benchmarks=filluniquerandom,approximatememtablestats,readrandom --value_size=1 --num=1000000 --batch_size=30000
filluniquerandom :       1.390 micros/op 719654 ops/sec 1.376 seconds 990000 operations;   11.7 MB/s
approximatememtablestats :       1.129 micros/op 885649 ops/sec 1.129 seconds 1000000 operations;
Reported entry count stats (expected 30000):
Count: 1000000 Average: 31098.8795  StdDev: 3601.47
Min: 21504  Median: 29333.9303  Max: 43008
Percentiles: P50: 29333.93 P75: 33018.00 P99: 43008.00 P99.9: 43008.00 P99.99: 43008.00
------------------------------------------------------
(   14000,   22000 ]      408   0.041%   0.041%
(   22000,   33000 ]   749327  74.933%  74.974% ###############
(   33000,   50000 ]   250265  25.027% 100.000% #####

readrandom   :       1.894 micros/op 528083 ops/sec 1.894 seconds 1000000 operations;    8.5 MB/s (989989 of 1000000 found)
```

This is *even faster* and relatively *more accurate*, with relative standard deviation closer to 10%. Code comments explain why. Now let's look at smaller ranges. Implementation quirks or conveniences:
* When actual number in range is >= 40, the minimum return value is 40.
* When the actual is <= 10, it is guaranteed to return that actual number.
```
$ ./db_bench --benchmarks=filluniquerandom,approximatememtablestats,readrandom --value_size=1 --num=1000000 --batch_size=75
...
filluniquerandom :       1.417 micros/op 705668 ops/sec 1.417 seconds 999975 operations;   11.4 MB/s
approximatememtablestats :       3.342 micros/op 299197 ops/sec 3.342 seconds 1000000 operations;
Reported entry count stats (expected 75):
Count: 1000000 Average: 75.1210  StdDev: 15.02
Min: 40  Median: 71.9395  Max: 256
Percentiles: P50: 71.94 P75: 89.69 P99: 119.12 P99.9: 166.68 P99.99: 229.78
------------------------------------------------------
(      34,      51 ]    38867   3.887%   3.887% #
(      51,      76 ]   550554  55.055%  58.942% ###########
(      76,     110 ]   398854  39.885%  98.828% ########
(     110,     170 ]    11353   1.135%  99.963%
(     170,     250 ]      364   0.036%  99.999%
(     250,     380 ]        8   0.001% 100.000%

readrandom   :       1.861 micros/op 537224 ops/sec 1.861 seconds 1000000 operations;    8.7 MB/s (999974 of 1000000 found)

$ ./db_bench --benchmarks=filluniquerandom,approximatememtablestats,readrandom --value_size=1 --num=1000000 --batch_size=25
...
filluniquerandom :       1.501 micros/op 666283 ops/sec 1.501 seconds 1000000 operations;   10.8 MB/s
approximatememtablestats :       5.118 micros/op 195401 ops/sec 5.118 seconds 1000000 operations;
Reported entry count stats (expected 25):
Count: 1000000 Average: 26.2392  StdDev: 4.58
Min: 25  Median: 28.4590  Max: 72
Percentiles: P50: 28.46 P75: 31.69 P99: 49.27 P99.9: 67.95 P99.99: 72.00
------------------------------------------------------
(      22,      34 ]   928936  92.894%  92.894% ###################
(      34,      51 ]    67960   6.796%  99.690% #
(      51,      76 ]     3104   0.310% 100.000%

readrandom   :       1.892 micros/op 528595 ops/sec 1.892 seconds 1000000 operations;    8.6 MB/s (1000000 of 1000000 found)

$ ./db_bench --benchmarks=filluniquerandom,approximatememtablestats,readrandom --value_size=1 --num=1000000 --batch_size=10
...
filluniquerandom :       1.642 micros/op 608916 ops/sec 1.642 seconds 1000000 operations;    9.9 MB/s
approximatememtablestats :       3.042 micros/op 328721 ops/sec 3.042 seconds 1000000 operations;
Reported entry count stats (expected 10):
Count: 1000000 Average: 10.0000  StdDev: 0.00
Min: 10  Median: 10.0000  Max: 10
Percentiles: P50: 10.00 P75: 10.00 P99: 10.00 P99.9: 10.00 P99.99: 10.00
------------------------------------------------------
(       6,      10 ]  1000000 100.000% 100.000% ####################

readrandom   :       1.805 micros/op 554126 ops/sec 1.805 seconds 1000000 operations;    9.0 MB/s (1000000 of 1000000 found)
```

Remarkably consistent.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/13047

Test Plan: new db_bench test for both performance and accuracy (see above); added to crash test; unit test updated.

Reviewed By: cbi42

Differential Revision: D63722003

Pulled By: pdillinger

fbshipit-source-id: cfc8613c085e87c17ecec22d82601aac2a5a1b26
2024-10-02 14:25:50 -07:00
Changyu Bi 92ad4a88f3 Small CPU optimization in InlineSkipList::Insert() (#12975)
Summary:
reuse decode key in more places to avoid decoding length prefixed key x->Key().

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12975

Test Plan:
ran benchmarks simultaneously for "before" and "after"
* fillseq:
```
(for I in $(seq 1 50); do ./db_bench --benchmarks=fillseq --disable_auto_compactions=1 --min_write_buffer_number_to_merge=100 --max_write_buffer_number=1000  --write_buffer_size=268435456 --num=5000000 --seed=1723056275 --disable_wal=1 2>&1 | grep "fillseq"
done;) | awk '{ t += $5; c++; print } END { printf ("%9.3f\n", 1.0 * t / c) }';

before: 1483191
after: 1490555 (+0.5%)
```

* fillrandom:
```
(for I in $(seq 1 2); do ./db_bench_imain --benchmarks=fillrandom --disable_auto_compactions=1 --min_write_buffer_number_to_merge=100 --max_write_buffer_number=1000  --write_buffer_size=268435456 --num=2500000 --seed=1723056275 --disable_wal=1 2>&1 | grep "fillrandom"

before: 255463
after: 256128 (+0.26%)
```

Reviewed By: anand1976

Differential Revision: D61835340

Pulled By: cbi42

fbshipit-source-id: 70345510720e348bacd51269acb5d2dd5a62bf0a
2024-08-27 13:57:40 -07:00
Changyu Bi defd97bc9d Add an option to verify memtable key order during reads (#12889)
Summary:
add a new CF option `paranoid_memory_checks` that allows additional data integrity validations during read/scan. Currently, skiplist-based memtable will validate the order of keys visited. Further data validation can be added in different layers. The option will be opt-in due to performance overhead.

The motivation for this feature is for services where data correctness is critical and want to detect in-memory corruption earlier. For a corrupted memtable key, this feature can help to detect it during during reads instead of during flush with existing protections (OutputValidator that verifies key order or per kv checksum). See internally linked task for more context.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12889

Test Plan:
* new unit test added for paranoid_memory_checks=true.
* existing unit test for paranoid_memory_checks=false.
* enable in stress test.

Performance Benchmark: we check for performance regression in read path where data is in memtable only. For each benchmark, the script was run at the same time for main and this PR:
* Memtable-only randomread ops/sec:
```
(for I in $(seq 1 50);do ./db_bench --benchmarks=fillseq,readrandom --write_buffer_size=268435456 --writes=250000 --num=250000 --reads=500000  --seed=1723056275 2>&1 | grep "readrandom"; done;) | awk '{ t += $5; c++; print } END { print 1.0 * t / c }';

Main: 608146
PR with paranoid_memory_checks=false: 607727 (- %0.07)
PR with paranoid_memory_checks=true: 521889 (-%14.2)
```

* Memtable-only sequential scan ops/sec:
```
(for I in $(seq 1 50); do ./db_bench--benchmarks=fillseq,readseq[-X10] --write_buffer_size=268435456 --num=1000000  --seed=1723056275 2>1 | grep "\[AVG 10 runs\]"; done;) | awk '{ t += $6; c++; print; } END { printf "%.0f\n", 1.0 * t / c }';

Main: 9180077
PR with paranoid_memory_checks=false: 9536241 (+%3.8)
PR with paranoid_memory_checks=true: 7653934 (-%16.6)
```

* Memtable-only reverse scan ops/sec:
```
(for I in $(seq 1 20); do ./db_bench --benchmarks=fillseq,readreverse[-X10] --write_buffer_size=268435456 --num=1000000  --seed=1723056275 2>1 | grep "\[AVG 10 runs\]"; done;) | awk '{ t += $6; c++; print; } END { printf "%.0f\n", 1.0 * t / c }';

 Main: 1285719
 PR with integrity_checks=false: 1431626 (+%11.3)
 PR with integrity_checks=true: 811031 (-%36.9)
```

The `readrandom` benchmark shows no regression. The scanning benchmarks show improvement that I can't explain.

Reviewed By: pdillinger

Differential Revision: D60414267

Pulled By: cbi42

fbshipit-source-id: a70b0cbeea131f1a249a5f78f9dc3a62dacfaa91
2024-08-19 13:53:25 -07:00
Peter Dillinger 54cb9c77d9 Prefer static_cast in place of most reinterpret_cast (#12308)
Summary:
The following are risks associated with pointer-to-pointer reinterpret_cast:
* Can produce the "wrong result" (crash or memory corruption). IIRC, in theory this can happen for any up-cast or down-cast for a non-standard-layout type, though in practice would only happen for multiple inheritance cases (where the base class pointer might be "inside" the derived object). We don't use multiple inheritance a lot, but we do.
* Can mask useful compiler errors upon code change, including converting between unrelated pointer types that you are expecting to be related, and converting between pointer and scalar types unintentionally.

I can only think of some obscure cases where static_cast could be troublesome when it compiles as a replacement:
* Going through `void*` could plausibly cause unnecessary or broken pointer arithmetic. Suppose we have
`struct Derived: public Base1, public Base2`.  If we have `Derived*` -> `void*` -> `Base2*` -> `Derived*` through reinterpret casts, this could plausibly work (though technical UB) assuming the `Base2*` is not dereferenced. Changing to static cast could introduce breaking pointer arithmetic.
* Unnecessary (but safe) pointer arithmetic could arise in a case like `Derived*` -> `Base2*` -> `Derived*` where before the Base2 pointer might not have been dereferenced. This could potentially affect performance.

With some light scripting, I tried replacing pointer-to-pointer reinterpret_casts with static_cast and kept the cases that still compile. Most occurrences of reinterpret_cast have successfully been changed (except for java/ and third-party/). 294 changed, 257 remain.

A couple of related interventions included here:
* Previously Cache::Handle was not actually derived from in the implementations and just used as a `void*` stand-in with reinterpret_cast. Now there is a relationship to allow static_cast. In theory, this could introduce pointer arithmetic (as described above) but is unlikely without multiple inheritance AND non-empty Cache::Handle.
* Remove some unnecessary casts to void* as this is allowed to be implicit (for better or worse).

Most of the remaining reinterpret_casts are for converting to/from raw bytes of objects. We could consider better idioms for these patterns in follow-up work.

I wish there were a way to implement a template variant of static_cast that would only compile if no pointer arithmetic is generated, but best I can tell, this is not possible. AFAIK the best you could do is a dynamic check that the void* conversion after the static cast is unchanged.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12308

Test Plan: existing tests, CI

Reviewed By: ltamasi

Differential Revision: D53204947

Pulled By: pdillinger

fbshipit-source-id: 9de23e618263b0d5b9820f4e15966876888a16e2
2024-02-07 10:44:11 -08:00
Hui Xiao 08a63ad10b Run clang format against files under example/, memory/ and memtable/ folders (#10893)
Summary:
**Context/Summary:**
Run the following to format
```
find ./examples -iname *.h -o -iname *.cc | xargs clang-format -i
find ./memory -iname *.h -o -iname *.cc | xargs clang-format -i
find ./memtable -iname *.h -o -iname *.cc | xargs clang-format -i
```

**Test**
- Manual inspection to ensure changes are cosmetic only
- CI

Pull Request resolved: https://github.com/facebook/rocksdb/pull/10893

Reviewed By: jay-zhuang

Differential Revision: D40779187

Pulled By: hx235

fbshipit-source-id: 529cbb0f0fbd698d95817e8c42fe3ce32254d9b0
2022-10-28 13:16:50 -07:00
Jay Zhuang 5d3aefb682 Migrate to docker for CI run (#10496)
Summary:
Moved linux builds to using docker to avoid CI instability caused by dependency installation site down.
Added the `Dockerfile` which is used to build the image.
The build time is also significantly reduced, because no dependencies installation and with using 2xlarge+ instance for slow build (like tsan test).
Also fixed a few issues detected while building this:
* `DestoryDB()` Status not checked for a few tests
* nullptr might be used in `inlineskiplist.cc`

Pull Request resolved: https://github.com/facebook/rocksdb/pull/10496

Test Plan: CI

Reviewed By: ajkr

Differential Revision: D38554200

Pulled By: jay-zhuang

fbshipit-source-id: 16e8fb2bf07b9c84bb27fb18421c4d54f2f248fd
2022-08-10 17:34:38 -07:00
Baptiste Lemaire e3a96c4823 Memtable sampling for mempurge heuristic. (#8628)
Summary:
Changes the API of the MemPurge process: the `bool experimental_allow_mempurge` and `experimental_mempurge_policy` flags have been replaced by a `double experimental_mempurge_threshold` option.
This change of API reflects another major change introduced in this PR: the MemPurgeDecider() function now works by sampling the memtables being flushed to estimate the overall amount of useful payload (payload minus the garbage), and then compare this useful payload estimate with the `double experimental_mempurge_threshold` value.
Therefore, when the value of this flag is `0.0` (default value), mempurge is simply deactivated. On the other hand, a value of `DBL_MAX` would be equivalent to always going through a mempurge regardless of the garbage ratio estimate.
At the moment, a `double experimental_mempurge_threshold` value else than 0.0 or `DBL_MAX` is opnly supported`with the `SkipList` memtable representation.
Regarding the sampling, this PR includes the introduction of a `MemTable::UniqueRandomSample` function that collects (approximately) random entries from the memtable by using the new `SkipList::Iterator::RandomSeek()` under the hood, or by iterating through each memtable entry, depending on the target sample size and the total number of entries.
The unit tests have been readapted to support this new API.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/8628

Reviewed By: pdillinger

Differential Revision: D30149315

Pulled By: bjlemaire

fbshipit-source-id: 1feef5390c95db6f4480ab4434716533d3947f27
2021-08-10 18:09:03 -07:00
sdong fdf882ded2 Replace namespace name "rocksdb" with ROCKSDB_NAMESPACE (#6433)
Summary:
When dynamically linking two binaries together, different builds of RocksDB from two sources might cause errors. To provide a tool for user to solve the problem, the RocksDB namespace is changed to a flag which can be overridden in build time.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6433

Test Plan: Build release, all and jtest. Try to build with ROCKSDB_NAMESPACE with another flag.

Differential Revision: D19977691

fbshipit-source-id: aa7f2d0972e1c31d75339ac48478f34f6cfcfb3e
2020-02-20 12:09:57 -08:00
Lingjing You 1a928c22a0 Add insert hints for each writebatch (#5728)
Summary:
Add insert hints for each writebatch so that they can be used in concurrent write, and add write option to enable it.

Bench result (qps):

`./db_bench --benchmarks=fillseq -allow_concurrent_memtable_write=true -num=4000000 -batch-size=1 -threads=1 -db=/data3/ylj/tmp -write_buffer_size=536870912 -num_column_families=4`

master:

| batch size \ thread num | 1       | 2       | 4       | 8       |
| ----------------------- | ------- | ------- | ------- | ------- |
| 1                       | 387883  | 220790  | 308294  | 490998  |
| 10                      | 1397208 | 978911  | 1275684 | 1733395 |
| 100                     | 2045414 | 1589927 | 1798782 | 2681039 |
| 1000                    | 2228038 | 1698252 | 1839877 | 2863490 |

fillseq with writebatch hint:

| batch size \ thread num | 1       | 2       | 4       | 8       |
| ----------------------- | ------- | ------- | ------- | ------- |
| 1                       | 286005  | 223570  | 300024  | 466981  |
| 10                      | 970374  | 813308  | 1399299 | 1753588 |
| 100                     | 1962768 | 1983023 | 2676577 | 3086426 |
| 1000                    | 2195853 | 2676782 | 3231048 | 3638143 |
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5728

Differential Revision: D17297240

fbshipit-source-id: b053590a6d77871f1ef2f911a7bd013b3899b26c
2019-09-12 17:15:18 -07:00
Shylock Hg 9eb3e1f77d Use delete to disable automatic generated methods. (#5009)
Summary:
Use delete to disable automatic generated methods instead of private, and put the constructor together for more clear.This modification cause the unused field warning, so add unused attribute to disable this warning.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5009

Differential Revision: D17288733

fbshipit-source-id: 8a767ce096f185f1db01bd28fc88fef1cdd921f3
2019-09-11 18:09:00 -07:00
Siying Dong 8843129ece Move some memory related files from util/ to memory/ (#5382)
Summary:
Move arena, allocator, and memory tools under util to a separate memory/ directory.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5382

Differential Revision: D15564655

Pulled By: siying

fbshipit-source-id: 9cd6b5d0d3d52b39606e19221fa154596e5852a5
2019-05-30 17:44:09 -07:00
Xin Tong aed7abbcca Reorder field based on esan data
Summary:
Running. TEST_TMPDIR=/dev/shm ./buck-out/gen/rocks/tools/rocks_db_bench --benchmarks=readwhilewriting --num=5000000 -benchmark_write_rate_limit=2000000 --threads=32

Collected esan data and reorder field. Accesses to 4th and 6th fields take majority of the access.  Group them. Overall, this struct takes 10%+ of the total accesses in the program. (637773011/6107964986)

==2433831==  class rocksdb::InlineSkipList
==2433831==   size = 48, count = 637773011, ratio = 112412, array access = 0
==2433831==   # 0: offset = 0,   size = 2,       count = 455137, type = i16
==2433831==   # 1: offset = 2,   size = 2,       count = 6,      type = i16
==2433831==   # 2: offset = 4,   size = 4,       count = 182303, type = i32
==2433831==   # 3: offset = 8,   size = 8,       count = 263953900, type = %"class.rocksdb::MemTableRep::KeyComparator"*
==2433831==   # 4: offset = 16,  size = 8,       count = 136409, type = %"class.rocksdb::Allocator"*
==2433831==   # 5: offset = 24,  size = 8,       count = 366628820, type = %"struct.rocksdb::InlineSkipList<const rocksdb::MemTableRep::KeyComparator &>::Node"*
==2433831==   # 6: offset = 32,  size = 4,       count = 6280031, type = %"struct.std::atomic" = type { %"struct.std::__atomic_base" }
==2433831==   # 7: offset = 40,  size = 8,       count = 136405, type = %"struct.rocksdb::InlineSkipList<const rocksdb::MemTableRep::KeyComparator &>::Splice"*
==2433831==EfficiencySanitizer: total struct field access count = 6107964986

Before re-ordering
[trentxintong@devbig460.frc2 ~/fbsource/fbcode]$ fgrep readwhilewriting
without-ro.log
readwhilewriting :       0.036 micros/op 27545605 ops/sec;   26.8 MB/s
(45954 of 5000000 found)
readwhilewriting :       0.036 micros/op 28024240 ops/sec;   27.2 MB/s
(43158 of 5000000 found)
readwhilewriting :       0.037 micros/op 27345145 ops/sec;   27.1 MB/s
(46725 of 5000000 found)
readwhilewriting :       0.037 micros/op 27072588 ops/sec;   27.3 MB/s
(42605 of 5000000 found)
readwhilewriting :       0.034 micros/op 29578781 ops/sec;   28.3 MB/s
(44294 of 5000000 found)
readwhilewriting :       0.035 micros/op 28528304 ops/sec;   27.7 MB/s
(44176 of 5000000 found)
readwhilewriting :       0.037 micros/op 27075497 ops/sec;   26.5 MB/s
(43763 of 5000000 found)
readwhilewriting :       0.036 micros/op 28024117 ops/sec;   27.1 MB/s
(40622 of 5000000 found)
readwhilewriting :       0.037 micros/op 27078709 ops/sec;   27.6 MB/s
(47774 of 5000000 found)
readwhilewriting :       0.034 micros/op 29020689 ops/sec;   28.1 MB/s
(45066 of 5000000 found)
AVERAGE()=27.37 MB/s

After re-ordering
[trentxintong@devbig460.frc2 ~/fbsource/fbcode]$ fgrep readwhilewriting
ro.log
readwhilewriting :       0.036 micros/op 27542409 ops/sec;   27.7 MB/s
(46163 of 5000000 found)
readwhilewriting :       0.036 micros/op 28021148 ops/sec;   28.2 MB/s
(46155 of 5000000 found)
readwhilewriting :       0.036 micros/op 28021035 ops/sec;   27.3 MB/s
(44039 of 5000000 found)
readwhilewriting :       0.036 micros/op 27538659 ops/sec;   27.5 MB/s
(46781 of 5000000 found)
readwhilewriting :       0.036 micros/op 28028604 ops/sec;   27.6 MB/s
(44689 of 5000000 found)
readwhilewriting :       0.036 micros/op 27541452 ops/sec;   27.3 MB/s
(43156 of 5000000 found)
readwhilewriting :       0.034 micros/op 29041338 ops/sec;   28.8 MB/s
(44895 of 5000000 found)
readwhilewriting :       0.036 micros/op 27784974 ops/sec;   26.3 MB/s
(39963 of 5000000 found)
readwhilewriting :       0.036 micros/op 27538892 ops/sec;   28.1 MB/s
(46570 of 5000000 found)
readwhilewriting :       0.038 micros/op 26622473 ops/sec;   27.0 MB/s
(43236 of 5000000 found)
AVERAGE()=27.58 MB/s
Closes https://github.com/facebook/rocksdb/pull/3855

Reviewed By: siying

Differential Revision: D8048781

Pulled By: trentxintong

fbshipit-source-id: bc9807a9845e2a92cb171ce1ecb5a2c8a51f1481
2018-05-17 17:57:48 -07:00
przemyslaw.skibinski@percona.com dee95a1afc Fix GitHub issue #3716: gcc-8 warnings
Summary:
Fix the following gcc-8 warnings:
- conflicting C language linkage declaration [-Werror]
- writing to an object with no trivial copy-assignment [-Werror=class-memaccess]
- array subscript -1 is below array bounds [-Werror=array-bounds]

Solves https://github.com/facebook/rocksdb/issues/3716
Closes https://github.com/facebook/rocksdb/pull/3736

Differential Revision: D7684161

Pulled By: yiwu-arbug

fbshipit-source-id: 47c0423d26b74add251f1d3595211eee1e41e54a
2018-04-20 13:42:47 -07:00
Radoslaw Zarzynski 09b6bf828a InlineSkiplist: don't decode keys unnecessarily during comparisons
Summary:
Summary
========
`InlineSkipList<>::Insert` takes the `key` parameter as a C-string. Then, it performs multiple comparisons with it requiring the `GetLengthPrefixedSlice()` to be spawn in `MemTable::KeyComparator::operator()(const char* prefix_len_key1, const char* prefix_len_key2)` on the same data over and over. The patch tries to optimize that.

Rough performance comparison
=====
Big keys, no compression.

```
$ ./db_bench --writes 20000000 --benchmarks="fillrandom" --compression_type none -key_size 256
(...)
fillrandom   :       4.222 micros/op 236836 ops/sec;   80.4 MB/s
```

```
$ ./db_bench --writes 20000000 --benchmarks="fillrandom" --compression_type none -key_size 256
(...)
fillrandom   :       4.064 micros/op 246059 ops/sec;   83.5 MB/s
```

TODO
======
In ~~a separated~~ this PR:
- [x] Go outside the write path. Maybe even eradicate the C-string-taking variant of `KeyIsAfterNode` entirely.
- [x] Try to cache the transformations applied by `KeyComparator` & friends in situations where we havy many comparisons with the same key.
Closes https://github.com/facebook/rocksdb/pull/3516

Differential Revision: D7059300

Pulled By: ajkr

fbshipit-source-id: 6f027dbb619a488129f79f79b5f7dbe566fb2dbb
2018-03-23 12:14:30 -07:00
Maysam Yabandeh 813719e952 WritePrepared Txn: Duplicate Keys, Memtable part
Summary:
Currently DB does not accept duplicate keys (keys with the same user key and the same sequence number). If Memtable returns false when receiving such keys, we can benefit from this signal to properly increase the sequence number in the rare cases when we have a duplicate key in the write batch written to DB under WritePrepared transactions.
Closes https://github.com/facebook/rocksdb/pull/3418

Differential Revision: D6822412

Pulled By: maysamyabandeh

fbshipit-source-id: adea3ce5073131cd38ed52b16bea0673b1a19e77
2018-01-31 18:57:07 -08:00
Dmitri Smirnov ebab2e2d42 Enable MSVC W4 with a few exceptions. Fix warnings and bugs
Summary: Closes https://github.com/facebook/rocksdb/pull/3018

Differential Revision: D6079011

Pulled By: yiwu-arbug

fbshipit-source-id: 988a721e7e7617967859dba71d660fc69f4dff57
2017-10-19 10:57:12 -07:00
Adam Kupczyk 75f7f42d41 Added CPU prefetch for skiplist
Summary:
This change causes following changes result of test:
./db_bench --writes 10000000 --benchmarks="fillrandom" --compression_type none
from
fillrandom   :       3.177 micros/op 314804 ops/sec;   34.8 MB/s
to
fillrandom   :       2.777 micros/op 360087 ops/sec;   39.8 MB/s
Closes https://github.com/facebook/rocksdb/pull/2961

Differential Revision: D5977822

Pulled By: yiwu-arbug

fbshipit-source-id: 1ea77707bffa978b1592b0c5d0fe76bfa1930f8d
2017-10-04 18:12:52 -07:00
Siying Dong 0e99323ac2 Fix CLANG Analyze
Summary:
clang analyze shows warnings after we upgrade the CLANG version. Fix them.
Closes https://github.com/facebook/rocksdb/pull/2839

Differential Revision: D5769060

Pulled By: siying

fbshipit-source-id: 3f8e4df715590d8984f6564b608fa08cfdfa5f14
2017-09-07 14:28:06 -07:00
Siying Dong 3c327ac2d0 Change RocksDB License
Summary: Closes https://github.com/facebook/rocksdb/pull/2589

Differential Revision: D5431502

Pulled By: siying

fbshipit-source-id: 8ebf8c87883daa9daa54b2303d11ce01ab1f6f75
2017-07-15 16:11:23 -07:00
Yi Wu df6f5a3772 Move memtable related files into memtable directory
Summary:
Move memtable related files into memtable directory.
Closes https://github.com/facebook/rocksdb/pull/2087

Differential Revision: D4829242

Pulled By: yiwu-arbug

fbshipit-source-id: ca70ab6
2017-04-06 14:09:13 -07:00
Renamed from db/inlineskiplist.h (Browse further)