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8 commits

Author SHA1 Message Date
Dmitri Smirnov ac50fd3a71 Align statistics 
Use Yield macro to make it a little more portable between platforms.
 2016-01-13 14:53:23 -08:00
sdong c7742452eb Add Statistics.getHistogramString() to print more detailed outputs of a histogram 
Summary:
Provide a way for users to know more detailed ditribution of a histogram metrics. Example outputs:

Manually add statement
  fprintf(stdout, "%s\n", dbstats->getHistogramString(SST_READ_MICROS).c_str());
Will print out something like:

Count: 989151  Average: 1.7659  StdDev: 1.52
Min: 0.0000  Median: 1.2071  Max: 860.0000
Percentiles: P50: 1.21 P75: 1.70 P99: 5.12 P99.9: 13.67 P99.99: 21.70
------------------------------------------------------
[       0,       1 )   390839  39.513%  39.513% ########
[       1,       2 )   500918  50.641%  90.154% ##########
[       2,       3 )    79358   8.023%  98.177% ##
[       3,       4 )     6297   0.637%  98.813%
[       4,       5 )     1712   0.173%  98.986%
[       5,       6 )     1134   0.115%  99.101%
[       6,       7 )     1222   0.124%  99.224%
[       7,       8 )     1529   0.155%  99.379%
[       8,       9 )     1264   0.128%  99.507%
[       9,      10 )      988   0.100%  99.607%
[      10,      12 )     1378   0.139%  99.746%
[      12,      14 )     1828   0.185%  99.931%
[      14,      16 )      410   0.041%  99.972%
[      16,      18 )       72   0.007%  99.980%
[      18,      20 )       67   0.007%  99.986%
[      20,      25 )      106   0.011%  99.997%
[      25,      30 )       24   0.002%  99.999%
[      30,      35 )        1   0.000% 100.000%
[     250,     300 )        2   0.000% 100.000%
[     300,     350 )        1   0.000% 100.000%
[     800,     900 )        1   0.000% 100.000%

Test Plan: Manually add a print in db_bench and make sure it prints out as expected. Will add some codes to cover the function

Subscribers: leveldb, dhruba

Differential Revision: https://reviews.facebook.net/D43611
 2015-08-05 20:05:56 -07:00
Lei Jin f6ca226c17 make statistics forward-able 
Summary:
Make StatisticsImpl being able to forward stats to provided statistics
implementation. The main purpose is to allow us to collect internal
stats in the future even when user supplies custom statistics
implementation. It avoids intrumenting 2 sets of stats collection code.
One immediate use case is tuning advisor, which needs to collect some
internal stats, users may not be interested.

Test Plan:
ran db_bench and see stats show up at the end of run
Will run make all check since some tests rely on statistics

Reviewers: yhchiang, sdong, igor

Reviewed By: sdong

Subscribers: dhruba, leveldb

Differential Revision: https://reviews.facebook.net/D20145
 2014-07-28 12:10:49 -07:00
Lei Jin 40fa8a4cd5 make statistics forward-able 
Summary:
Make StatisticsImpl being able to forward stats to provided statistics
implementation. The main purpose is to allow us to collect internal
stats in the future even when user supplies custom statistics
implementation. It avoids intrumenting 2 sets of stats collection code.
One immediate use case is tuning advisor, which needs to collect some
internal stats, users may not be interested.

Test Plan:
ran db_bench and see stats show up at the end of run
Will run make all check since some tests rely on statistics

Reviewers: yhchiang, sdong, igor

Reviewed By: sdong

Subscribers: dhruba, leveldb

Differential Revision: https://reviews.facebook.net/D20145
 2014-07-28 12:05:36 -07:00
Lei Jin ad0c3747cb cache SuperVersion in thread local storage to avoid mutex lock 
Summary: as title

Test Plan:
asan_check
will post results later

Reviewers: haobo, igor, dhruba, sdong

Reviewed By: haobo

CC: leveldb

Differential Revision: https://reviews.facebook.net/D16257
 2014-02-27 11:38:55 -08:00
Lei Jin fb84c49a36 convert Tickers back to array with padding and alignment 
Summary:
Pad each Ticker structure to be 64 bytes and make them align on 64 bytes
boundary to avoid cache line false sharing issue.
Please refer to task 3615553 for more details

Test Plan:
db_bench

LevelDB:    version 2.0s
Date:       Wed Jan 29 12:23:17 2014
CPU:        32 * Intel(R) Xeon(R) CPU E5-2660 0 @ 2.20GHz
CPUCache:   20480 KB
rocksdb.build.overwrite.qps 49638
rocksdb.build.overwrite.p50_micros 58.73
rocksdb.build.overwrite.p75_micros 210.56
rocksdb.build.overwrite.p99_micros 733.28
rocksdb.build.fillseq.qps 366729
rocksdb.build.fillseq.p50_micros 1.00
rocksdb.build.fillseq.p75_micros 1.00
rocksdb.build.fillseq.p99_micros 2.65
rocksdb.build.readrandom.qps 1152995
rocksdb.build.readrandom.p50_micros 11.27
rocksdb.build.readrandom.p75_micros 15.69
rocksdb.build.readrandom.p99_micros 33.59
rocksdb.build.readrandom_smallblockcache.qps 956047
rocksdb.build.readrandom_smallblockcache.p50_micros 15.23
rocksdb.build.readrandom_smallblockcache.p75_micros 17.31
rocksdb.build.readrandom_smallblockcache.p99_micros 31.49
rocksdb.build.readrandom_memtable_sst.qps 1105183
rocksdb.build.readrandom_memtable_sst.p50_micros 12.04
rocksdb.build.readrandom_memtable_sst.p75_micros 15.78
rocksdb.build.readrandom_memtable_sst.p99_micros 32.49
rocksdb.build.readrandom_fillunique_random.qps 487856
rocksdb.build.readrandom_fillunique_random.p50_micros 29.65
rocksdb.build.readrandom_fillunique_random.p75_micros 40.93
rocksdb.build.readrandom_fillunique_random.p99_micros 78.68
rocksdb.build.memtablefillrandom.qps 91304
rocksdb.build.memtablefillrandom.p50_micros 171.05
rocksdb.build.memtablefillrandom.p75_micros 196.12
rocksdb.build.memtablefillrandom.p99_micros 291.73
rocksdb.build.memtablereadrandom.qps 1340411
rocksdb.build.memtablereadrandom.p50_micros 9.48
rocksdb.build.memtablereadrandom.p75_micros 13.95
rocksdb.build.memtablereadrandom.p99_micros 30.36
rocksdb.build.readwhilewriting.qps 491004
rocksdb.build.readwhilewriting.p50_micros 29.58
rocksdb.build.readwhilewriting.p75_micros 40.34
rocksdb.build.readwhilewriting.p99_micros 76.78

Reviewers: igor, haobo

Reviewed By: igor

CC: leveldb

Differential Revision: https://reviews.facebook.net/D15573
 2014-01-29 15:08:41 -08:00
Igor Canadi 4e91f27c3a Fix performance regression in statistics 
Summary:
For some reason, D15099 caused a big performance regression: https://fburl.com/16059000

After digging a bit, I figured out that the reason was that std::atomic_uint_fast64_t was allocated in an array. When I switched from an array to vector, the QPS returned to the previous level. I'm not sure why this is happening, but this diff seems to fix the performance regression.

Test Plan: I ran the regression script, observed the performance going back to normal

Reviewers: tnovak, kailiu, haobo

Reviewed By: kailiu

CC: leveldb

Differential Revision: https://reviews.facebook.net/D15375
 2014-01-23 16:11:55 -08:00
Igor Canadi 83681bf9ef Statistics code cleanup 
Summary: I'm separating code-cleanup part of https://reviews.facebook.net/D14517. This will make D14517 easier to understand and this diff easier to review.

Test Plan: make check

Reviewers: haobo, kailiu, sdong, dhruba, tnovak

Reviewed By: tnovak

CC: leveldb

Differential Revision: https://reviews.facebook.net/D15099
 2014-01-17 12:46:06 -08:00