Skip to content

Instantly share code, notes, and snippets.

@Dieterbe

Dieterbe/analysis

Created April 12, 2019 17:16
Show Gist options
  • Save Dieterbe/0d9da8f0e394877a30c3a8fe554d4663 to your computer and use it in GitHub Desktop.
Save Dieterbe/0d9da8f0e394877a30c3a8fe554d4663 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
analysis
sarama/8 rtm 3424 -> 0.030103
sarama/8 id 687540 -> 0.002537
sarama/8 ops 1009213 -> 0.004118
sarama/8 fng 3024891 -> 0.001198
sarama/8 fake-false 1000 -> 0.032249
sarama/8 fake-false 10000 -> 0.006223
sarama/8 fake-false 100000 -> 0.002262
sarama/8 fake-false 1000000 -> 0.000801
sarama/8 fake-false 10000000 -> 0.000325
sarama/8 fake-true 1000 -> 1.088978
sarama/8 fake-true 10000 -> 1.065415
sarama/8 fake-true 100000 -> 1.065910
sarama/8 fake-true 1000000 -> 1.061560
sarama/8 fake-true 10000000 -> 1.061696
sarama/32 rtm 3424 -> 0.090671
sarama/32 id 687540 -> 0.007669
sarama/32 ops 1009213 -> 0.007097
sarama/32 fng 3024891 -> 0.002749
sarama/32 fake-false 1000 -> 0.152210
sarama/32 fake-false 10000 -> 0.092149
sarama/32 fake-false 100000 -> 0.026046
sarama/32 fake-false 1000000 -> 0.005521
sarama/32 fake-false 10000000 -> 0.001242
sarama/32 fake-true 1000 -> 1.163581
sarama/32 fake-true 10000 -> 1.171495
sarama/32 fake-true 100000 -> 1.093702
sarama/32 fake-true 1000000 -> 1.108623
sarama/32 fake-true 10000000 -> 1.107423
sarama/128 rtm 3424 -> 0.172011
sarama/128 id 687540 -> 0.013978
sarama/128 ops 1009213 -> 0.012501
sarama/128 fng 3024891 -> 0.005799
sarama/128 fake-false 1000 -> 0.294483
sarama/128 fake-false 10000 -> 0.136620
sarama/128 fake-false 100000 -> 0.035701
sarama/128 fake-false 1000000 -> 0.008493
sarama/128 fake-false 10000000 -> 0.001876
sarama/128 fake-true 1000 -> 1.239948
sarama/128 fake-true 10000 -> 1.185355
sarama/128 fake-true 100000 -> 1.096130
sarama/128 fake-true 1000000 -> 1.109028
sarama/128 fake-true 10000000 -> 1.107490
jump-mauro/8 rtm 3424 -> 0.054707
jump-mauro/8 id 687540 -> 0.003324
jump-mauro/8 ops 1009213 -> 0.002057
jump-mauro/8 fng 3024891 -> 0.001330
jump-mauro/8 fake-false 1000 -> 0.039395
jump-mauro/8 fake-false 10000 -> 0.005960
jump-mauro/8 fake-false 100000 -> 0.004336
jump-mauro/8 fake-false 1000000 -> 0.001015
jump-mauro/8 fake-false 10000000 -> 0.000233
jump-mauro/8 fake-true 1000 -> 0.055136
jump-mauro/8 fake-true 10000 -> 0.015105
jump-mauro/8 fake-true 100000 -> 0.003282
jump-mauro/8 fake-true 1000000 -> 0.001192
jump-mauro/8 fake-true 10000000 -> 0.000191
jump-mauro/32 rtm 3424 -> 0.102697
jump-mauro/32 id 687540 -> 0.006550
jump-mauro/32 ops 1009213 -> 0.006237
jump-mauro/32 fng 3024891 -> 0.003652
jump-mauro/32 fake-false 1000 -> 0.171020
jump-mauro/32 fake-false 10000 -> 0.045719
jump-mauro/32 fake-false 100000 -> 0.013355
jump-mauro/32 fake-false 1000000 -> 0.004426
jump-mauro/32 fake-false 10000000 -> 0.001296
jump-mauro/32 fake-true 1000 -> 0.150732
jump-mauro/32 fake-true 10000 -> 0.052098
jump-mauro/32 fake-true 100000 -> 0.014656
jump-mauro/32 fake-true 1000000 -> 0.005203
jump-mauro/32 fake-true 10000000 -> 0.001288
jump-mauro/128 rtm 3424 -> 0.192101
jump-mauro/128 id 687540 -> 0.014216
jump-mauro/128 ops 1009213 -> 0.012525
jump-mauro/128 fng 3024891 -> 0.006008
jump-mauro/128 fake-false 1000 -> 0.336286
jump-mauro/128 fake-false 10000 -> 0.095613
jump-mauro/128 fake-false 100000 -> 0.033844
jump-mauro/128 fake-false 1000000 -> 0.009155
jump-mauro/128 fake-false 10000000 -> 0.003370
jump-mauro/128 fake-true 1000 -> 0.336286
jump-mauro/128 fake-true 10000 -> 0.104184
jump-mauro/128 fake-true 100000 -> 0.034244
jump-mauro/128 fake-true 1000000 -> 0.011431
jump-mauro/128 fake-true 10000000 -> 0.002868
jump-fnv/8 rtm 3424 -> 0.024084
jump-fnv/8 id 687540 -> 0.003814
jump-fnv/8 ops 1009213 -> 0.003691
jump-fnv/8 fng 3024891 -> 0.001308
jump-fnv/8 fake-false 1000 -> 0.049800
jump-fnv/8 fake-false 10000 -> 0.037361
jump-fnv/8 fake-false 100000 -> 0.008948
jump-fnv/8 fake-false 1000000 -> 0.001632
jump-fnv/8 fake-false 10000000 -> 0.000898
jump-fnv/8 fake-true 1000 -> 0.119197
jump-fnv/8 fake-true 10000 -> 0.037282
jump-fnv/8 fake-true 100000 -> 0.009096
jump-fnv/8 fake-true 1000000 -> 0.003130
jump-fnv/8 fake-true 10000000 -> 0.000682
jump-fnv/32 rtm 3424 -> 0.092460
jump-fnv/32 id 687540 -> 0.007153
jump-fnv/32 ops 1009213 -> 0.006406
jump-fnv/32 fng 3024891 -> 0.003544
jump-fnv/32 fake-false 1000 -> 0.189315
jump-fnv/32 fake-false 10000 -> 0.065488
jump-fnv/32 fake-false 100000 -> 0.020047
jump-fnv/32 fake-false 1000000 -> 0.005143
jump-fnv/32 fake-false 10000000 -> 0.002145
jump-fnv/32 fake-true 1000 -> 0.187617
jump-fnv/32 fake-true 10000 -> 0.053457
jump-fnv/32 fake-true 100000 -> 0.016523
jump-fnv/32 fake-true 1000000 -> 0.005506
jump-fnv/32 fake-true 10000000 -> 0.001537
jump-fnv/128 rtm 3424 -> 0.201856
jump-fnv/128 id 687540 -> 0.012401
jump-fnv/128 ops 1009213 -> 0.012115
jump-fnv/128 fng 3024891 -> 0.007099
jump-fnv/128 fake-false 1000 -> 0.381240
jump-fnv/128 fake-false 10000 -> 0.114710
jump-fnv/128 fake-false 100000 -> 0.039280
jump-fnv/128 fake-false 1000000 -> 0.011373
jump-fnv/128 fake-false 10000000 -> 0.003734
jump-fnv/128 fake-true 1000 -> 0.333227
jump-fnv/128 fake-true 10000 -> 0.100965
jump-fnv/128 fake-true 100000 -> 0.035405
jump-fnv/128 fake-true 1000000 -> 0.010007
jump-fnv/128 fake-true 10000000 -> 0.003254
jump-metro/8 rtm 3424 -> 0.051627
jump-metro/8 id 687540 -> 0.002369
jump-metro/8 ops 1009213 -> 0.003029
jump-metro/8 fng 3024891 -> 0.001809
jump-metro/8 fake-false 1000 -> 0.084380
jump-metro/8 fake-false 10000 -> 0.015189
jump-metro/8 fake-false 100000 -> 0.006443
jump-metro/8 fake-false 1000000 -> 0.002293
jump-metro/8 fake-false 10000000 -> 0.000714
jump-metro/8 fake-true 1000 -> 0.096747
jump-metro/8 fake-true 10000 -> 0.038585
jump-metro/8 fake-true 100000 -> 0.010858
jump-metro/8 fake-true 1000000 -> 0.002690
jump-metro/8 fake-true 10000000 -> 0.000808
jump-metro/32 rtm 3424 -> 0.090731
jump-metro/32 id 687540 -> 0.008065
jump-metro/32 ops 1009213 -> 0.006473
jump-metro/32 fng 3024891 -> 0.003134
jump-metro/32 fake-false 1000 -> 0.142660
jump-metro/32 fake-false 10000 -> 0.042663
jump-metro/32 fake-false 100000 -> 0.014346
jump-metro/32 fake-false 1000000 -> 0.006270
jump-metro/32 fake-false 10000000 -> 0.001855
jump-metro/32 fake-true 1000 -> 0.171767
jump-metro/32 fake-true 10000 -> 0.061256
jump-metro/32 fake-true 100000 -> 0.019992
jump-metro/32 fake-true 1000000 -> 0.005293
jump-metro/32 fake-true 10000000 -> 0.002024
jump-metro/128 rtm 3424 -> 0.197316
jump-metro/128 id 687540 -> 0.012911
jump-metro/128 ops 1009213 -> 0.011460
jump-metro/128 fng 3024891 -> 0.006588
jump-metro/128 fake-false 1000 -> 0.347885
jump-metro/128 fake-false 10000 -> 0.117325
jump-metro/128 fake-false 100000 -> 0.034848
jump-metro/128 fake-false 1000000 -> 0.010339
jump-metro/128 fake-false 10000000 -> 0.003574
jump-metro/128 fake-true 1000 -> 0.363362
jump-metro/128 fake-true 10000 -> 0.112285
jump-metro/128 fake-true 100000 -> 0.036089
jump-metro/128 fake-true 1000000 -> 0.010712
jump-metro/128 fake-true 10000000 -> 0.003640
jump-sip/8 rtm 3424 -> 0.032121
jump-sip/8 id 687540 -> 0.002840
jump-sip/8 ops 1009213 -> 0.003077
jump-sip/8 fng 3024891 -> 0.001284
jump-sip/8 fake-false 1000 -> 0.059464
jump-sip/8 fake-false 10000 -> 0.023413
jump-sip/8 fake-false 100000 -> 0.007899
jump-sip/8 fake-false 1000000 -> 0.003798
jump-sip/8 fake-false 10000000 -> 0.000912
jump-sip/8 fake-true 1000 -> 0.077974
jump-sip/8 fake-true 10000 -> 0.029540
jump-sip/8 fake-true 100000 -> 0.006244
jump-sip/8 fake-true 1000000 -> 0.001577
jump-sip/8 fake-true 10000000 -> 0.000566
jump-sip/32 rtm 3424 -> 0.090128
jump-sip/32 id 687540 -> 0.006398
jump-sip/32 ops 1009213 -> 0.004689
jump-sip/32 fng 3024891 -> 0.003200
jump-sip/32 fake-false 1000 -> 0.173804
jump-sip/32 fake-false 10000 -> 0.057383
jump-sip/32 fake-false 100000 -> 0.018300
jump-sip/32 fake-false 1000000 -> 0.004770
jump-sip/32 fake-false 10000000 -> 0.001772
jump-sip/32 fake-true 1000 -> 0.179956
jump-sip/32 fake-true 10000 -> 0.049296
jump-sip/32 fake-true 100000 -> 0.018602
jump-sip/32 fake-true 1000000 -> 0.005360
jump-sip/32 fake-true 10000000 -> 0.001870
jump-sip/128 rtm 3424 -> 0.188022
jump-sip/128 id 687540 -> 0.013363
jump-sip/128 ops 1009213 -> 0.012769
jump-sip/128 fng 3024891 -> 0.006446
jump-sip/128 fake-false 1000 -> 0.343069
jump-sip/128 fake-false 10000 -> 0.113848
jump-sip/128 fake-false 100000 -> 0.034360
jump-sip/128 fake-false 1000000 -> 0.010968
jump-sip/128 fake-false 10000000 -> 0.003086
jump-sip/128 fake-true 1000 -> 0.399600
jump-sip/128 fake-true 10000 -> 0.113420
jump-sip/128 fake-true 100000 -> 0.035063
jump-sip/128 fake-true 1000000 -> 0.011809
jump-sip/128 fake-true 10000000 -> 0.003505
jump-xxhash/8 rtm 3424 -> 0.031434
jump-xxhash/8 id 687540 -> 0.002993
jump-xxhash/8 ops 1009213 -> 0.003785
jump-xxhash/8 fng 3024891 -> 0.001774
jump-xxhash/8 fake-false 1000 -> 0.087453
jump-xxhash/8 fake-false 10000 -> 0.025759
jump-xxhash/8 fake-false 100000 -> 0.012993
jump-xxhash/8 fake-false 1000000 -> 0.003149
jump-xxhash/8 fake-false 10000000 -> 0.000970
jump-xxhash/8 fake-true 1000 -> 0.058241
jump-xxhash/8 fake-true 10000 -> 0.021861
jump-xxhash/8 fake-true 100000 -> 0.014496
jump-xxhash/8 fake-true 1000000 -> 0.002654
jump-xxhash/8 fake-true 10000000 -> 0.001080
jump-xxhash/32 rtm 3424 -> 0.077138
jump-xxhash/32 id 687540 -> 0.005489
jump-xxhash/32 ops 1009213 -> 0.006385
jump-xxhash/32 fng 3024891 -> 0.003050
jump-xxhash/32 fake-false 1000 -> 0.159800
jump-xxhash/32 fake-false 10000 -> 0.053397
jump-xxhash/32 fake-false 100000 -> 0.016860
jump-xxhash/32 fake-false 1000000 -> 0.005977
jump-xxhash/32 fake-false 10000000 -> 0.001924
jump-xxhash/32 fake-true 1000 -> 0.174723
jump-xxhash/32 fake-true 10000 -> 0.044102
jump-xxhash/32 fake-true 100000 -> 0.020174
jump-xxhash/32 fake-true 1000000 -> 0.003933
jump-xxhash/32 fake-true 10000000 -> 0.001884
jump-xxhash/128 rtm 3424 -> 0.209813
jump-xxhash/128 id 687540 -> 0.014056
jump-xxhash/128 ops 1009213 -> 0.013628
jump-xxhash/128 fng 3024891 -> 0.006058
jump-xxhash/128 fake-false 1000 -> 0.351909
jump-xxhash/128 fake-false 10000 -> 0.118961
jump-xxhash/128 fake-false 100000 -> 0.033122
jump-xxhash/128 fake-false 1000000 -> 0.010724
jump-xxhash/128 fake-false 10000000 -> 0.003762
jump-xxhash/128 fake-true 1000 -> 0.328585
jump-xxhash/128 fake-true 10000 -> 0.105333
jump-xxhash/128 fake-true 100000 -> 0.035741
jump-xxhash/128 fake-true 1000000 -> 0.011865
jump-xxhash/128 fake-true 10000000 -> 0.003204
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment