Hi, David!
I measure a delay after a response from index operation and until a document is visible. Here is the script that I use: https://gist.github.com/rmihael/4f37bce239c9265ec69f2dc695ffd405. Measurement is performed in measure_single_document function.
Typical output looks like this:
Value Percentile TotalCount 1/(1-Percentile)
215.0 0.000000000000 1 1.00
831.0 0.100000000000 1044 1.11
1279.0 0.190000000000 2027 1.23
1663.0 0.271000000000 2807 1.37
1983.0 0.343900000000 3486 1.52
2431.0 0.409510000000 4343 1.69
2687.0 0.468559000000 4792 1.88
2943.0 0.521703100000 5238 2.09
3327.0 0.569532790000 5876 2.32
3583.0 0.612579511000 6304 2.58
3839.0 0.651321559900 6649 2.87
4095.0 0.686189403910 7002 3.19
4351.0 0.717570463519 7355 3.54
4607.0 0.745813417167 7655 3.93
4863.0 0.771232075450 7973 4.37
4863.0 0.794108867905 7973 4.86
5119.0 0.814697981115 8238 5.40
5375.0 0.833228183003 8495 6.00
5631.0 0.849905364703 8731 6.66
5631.0 0.864914828233 8731 7.40
5887.0 0.878423345409 8943 8.23
5887.0 0.890581010868 8943 9.14
6143.0 0.901522909782 9125 10.15
6143.0 0.911370618803 9125 11.28
6399.0 0.920233556923 9290 12.54
6399.0 0.928210201231 9290 13.93
6655.0 0.935389181108 9450 15.48
6655.0 0.941850262997 9450 17.20
6911.0 0.947665236697 9576 19.11
6911.0 0.952898713028 9576 21.23
7167.0 0.957608841725 9686 23.59
7167.0 0.961847957552 9686 26.21
7167.0 0.965663161797 9686 29.12
7423.0 0.969096845617 9769 32.36
7423.0 0.972187161056 9769 35.95
7423.0 0.974968444950 9769 39.95
7679.0 0.977471600455 9842 44.39
7679.0 0.979724440410 9842 49.32
7679.0 0.981751996369 9842 54.80
7679.0 0.983576796732 9842 60.89
7935.0 0.985219117059 9904 67.65
7935.0 0.986697205353 9904 75.17
7935.0 0.988027484817 9904 83.52
7935.0 0.989224736336 9904 92.81
7935.0 0.990302262702 9904 103.12
8191.0 0.991272036432 9950 114.57
8191.0 0.992144832789 9950 127.30
8191.0 0.992930349510 9950 141.45
8191.0 0.993637314559 9950 157.17
8191.0 0.994273583103 9950 174.63
8191.0 0.994846224793 9950 194.03
8703.0 0.995361602313 9998 215.59
8703.0 0.995825442082 9998 239.55
8703.0 0.996242897874 9998 266.16
8703.0 0.996618608086 9998 295.74
8703.0 0.996956747278 9998 328.60
8703.0 0.997261072550 9998 365.11
8703.0 0.997534965295 9998 405.67
8703.0 0.997781468766 9998 450.75
8703.0 0.998003321889 9998 500.83
8703.0 0.998202989700 9998 556.48
8703.0 0.998382690730 9998 618.31
8703.0 0.998544421657 9998 687.01
8703.0 0.998689979491 9998 763.35
8703.0 0.998820981542 9998 848.16
8703.0 0.998938883388 9998 942.40
8703.0 0.999044995049 9998 1047.11
8703.0 0.999140495544 9998 1163.46
8703.0 0.999226445990 9998 1292.73
8703.0 0.999303801391 9998 1436.37
8703.0 0.999373421252 9998 1595.97
8703.0 0.999436079127 9998 1773.30
8703.0 0.999492471214 9998 1970.33
8703.0 0.999543224093 9998 2189.26
8703.0 0.999588901683 9998 2432.51
8703.0 0.999630011515 9998 2702.79
8703.0 0.999667010363 9998 3003.10
8703.0 0.999700309327 9998 3336.77
8703.0 0.999730278394 9998 3707.53
8703.0 0.999757250555 9998 4119.47
8703.0 0.999781525499 9998 4577.19
9215.0 0.999803372950 10000 5085.77
9215.0 1.000000000000 10000
#[Mean = 3129.2, StdDeviation = 1932.5]
#[Max = 9215.0, TotalCount = 10000.0]
#[Buckets = 18, SubBuckets = 32]