shinyloadtest Report

5 simulated users executing back to back sessions. Warmup or cooldown sessions (that are desaturated) start before or end after the vertical dotted line. Note that narrower event bars mean better performance.

27 maintenance sessions ordered from fastest to slowest completion time. The red line marks how long the original recording session took to complete (~68s). Sessions should end around the same time as each other for consistent behavior.

26 maintenance sessions ordered from fastest to slowest completion time. The red line marks how long the original recording session took to complete (~68s). Sessions should end around the same time as each other for consistent behavior.

Each session is represented with a line that cascades downward from each event. As time progresses, the line will move to the right. Consistent behavior will be represented with parallel lines, whereas inconsistent behavior will have lines jut arbitrarily to the right. Warmup and cooldown sessions are included as grey lines.

Total HTTP and supporting files (JS/CSS) latency (load time) is displayed for each session and run combination. Each vertical bar represents the amount of time a session's Shiny application had to wait before it is able to ask the server for information. A resonable amount of time to wait as been set to 5s. Warmup and cooldown sessions are displayed outside the dotted maintenance period lines.

Maximum WebSocket latency (calculation time) is displayed for each session and run combination. The maximum time is shown to convey the longest amount of time a user would have to wait for a response from the Shiny server. Warmup and cooldown sessions are displayed outside the dotted maintenance period lines.

Event plots are arranged by the slowest maximum time within each plot.

slowest maximum times

Event plots are arranged by the slowest minimum time within each plot.

slowest minimum times

Event plots are arranged by the largest difference in the run's mean event time.

largest mean differences

Label	Max time	Min time	Mean Difference
Event 1) Get: Homepage	1.479	0.444	0.614
Event 6) Get: jquery-ui.min.js	0.956	0.611	0.166
Event 127) Updated: distPlot	0.696	0.127	0.000
Event 10) Get: bootstrap.min.css	0.642	0.531	0.037
Event 3) Get: jquery.min.js	0.623	0.474	0.052
Event 91) Updated: distPlot	0.597	0.127	0.027
Event 5) Get: shiny.min.js	0.583	0.465	0.035
Event 2) Get: json2-min.js	0.580	0.323	0.060
Event 105) Updated: distPlot	0.574	0.128	0.017
Event 16) Get: highlight.pack.js	0.539	0.315	0.011
Event 25) Get: fa-solid-900.woff2	0.535	0.467	0.007
Event 11) Get: all.min.css	0.522	0.464	0.009
Event 133) Updated: distPlot	0.518	0.125	0.020
Event 33) Updated: distPlot	0.514	0.206	0.122
Event 17) Get: ion.rangeSlider.min.js	0.499	0.400	0.025
Event 28) Start Session	0.459	0.400	0.003
Event 19) Get: bootstrap.min.js	0.447	0.394	0.002
Event 35) Updated: distPlot	0.446	0.129	0.135
Event 24) Get: shiny-server-client.js	0.435	0.391	0.002
Event 12) Get: v4-shims.min.css	0.429	0.384	0.006
Event 18) Get: strftime-min.js	0.395	0.320	0.003
Event 23) Get: sockjs-0.3.min.js	0.394	0.315	0.003
Event 21) Get: respond.min.js	0.390	0.313	0.009
Event 20) Get: html5shiv.min.js	0.380	0.318	0.006
Event 22) Get: shiny-showcase.js	0.379	0.322	0.000
Event 9) Get: ion.rangeSlider.skinShiny.css	0.377	0.317	0.003
Event 8) Get: ion.rangeSlider.css	0.375	0.320	0.005
Event 14) Get: shiny-showcase.css	0.368	0.311	0.006
Event 61) Updated: distPlot	0.365	0.128	0.004
Event 13) Get: rstudio.css	0.357	0.323	0.001
Event 4) Get: shiny.css	0.353	0.321	0.004
Event 7) Get: showdown.js	0.351	0.319	0.003
Event 15) Get: rstudio-connect.css	0.340	0.313	0.002
Event 26) Get: Shiny Token	0.340	0.307	0.003
Event 111) Updated: distPlot	0.336	0.128	0.005
Event 27) Get: Connection Information	0.335	0.309	0.001
Event 41) Updated: distPlot	0.317	0.128	0.021
Event 107) Updated: distPlot	0.313	0.127	0.011
Event 65) Updated: distPlot	0.291	0.127	0.014
Event 59) Updated: distPlot	0.290	0.128	0.006
Event 32) Initialize Session	0.270	0.078	0.088
Event 99) Updated: distPlot	0.264	0.127	0.001
Event 103) Updated: distPlot	0.258	0.126	0.008
Event 67) Updated: distPlot	0.250	0.129	0.000
Event 37) Updated: distPlot	0.246	0.128	0.021
Event 115) Updated: distPlot	0.245	0.126	0.007
Event 81) Updated: distPlot	0.239	0.127	0.005
Event 93) Updated: distPlot	0.233	0.127	0.031
Event 89) Updated: distPlot	0.230	0.127	0.020
Event 85) Updated: distPlot	0.215	0.127	0.002
Event 53) Updated: distPlot	0.214	0.125	0.006
Event 79) Updated: distPlot	0.204	0.125	0.004
Event 73) Updated: distPlot	0.202	0.128	0.004
Event 55) Updated: distPlot	0.200	0.127	0.005
Event 39) Updated: distPlot	0.200	0.127	0.018
Event 125) Updated: distPlot	0.198	0.128	0.001
Event 97) Updated: distPlot	0.197	0.125	0.001
Event 45) Updated: distPlot	0.194	0.127	0.017
Event 95) Updated: distPlot	0.194	0.124	0.002
Event 131) Updated: distPlot	0.193	0.127	0.001
Event 75) Updated: distPlot	0.193	0.127	0.002
Event 49) Updated: distPlot	0.192	0.128	0.014
Event 71) Updated: distPlot	0.189	0.127	0.002
Event 83) Updated: distPlot	0.189	0.125	0.007
Event 69) Updated: distPlot	0.187	0.124	0.003
Event 43) Updated: distPlot	0.183	0.128	0.014
Event 129) Updated: distPlot	0.180	0.128	0.004
Event 47) Updated: distPlot	0.177	0.127	0.013
Event 63) Updated: distPlot	0.175	0.126	0.009
Event 113) Updated: distPlot	0.175	0.126	0.004
Event 87) Updated: distPlot	0.172	0.127	0.004
Event 57) Updated: distPlot	0.171	0.127	0.010
Event 121) Updated: distPlot	0.169	0.126	0.001
Event 109) Updated: distPlot	0.169	0.126	0.001
Event 51) Updated: distPlot	0.168	0.128	0.016
Event 101) Updated: distPlot	0.166	0.126	0.001
Event 119) Updated: distPlot	0.165	0.127	0.001
Event 117) Updated: distPlot	0.165	0.127	0.001
Event 77) Updated: distPlot	0.164	0.126	0.002
Event 123) Updated: distPlot	0.145	0.126	0.000
Event 110) Set: bins	0.008	0.000	0.000
Event 29) Start Connection	0.008	0.001	0.000
Event 134) Stop Session	0.004	0.000	0.000
Event 42) Set: bins	0.001	0.000	0.000
Event 48) Set: bins	0.001	0.000	0.000
Event 50) Set: bins	0.001	0.000	0.000
Event 52) Set: bins	0.001	0.000	0.000
Event 56) Set: bins	0.001	0.000	0.000
Event 58) Set: bins	0.001	0.000	0.000
Event 60) Set: bins	0.001	0.000	0.000
Event 64) Set: bins	0.001	0.000	0.000
Event 66) Set: bins	0.001	0.000	0.000
Event 68) Set: bins	0.001	0.000	0.000
Event 74) Set: bins	0.001	0.000	0.000
Event 78) Set: bins	0.001	0.000	0.000
Event 84) Set: bins	0.001	0.000	0.000
Event 86) Set: bins	0.001	0.000	0.000
Event 88) Set: bins	0.001	0.000	0.000
Event 96) Set: bins	0.001	0.000	0.000
Event 98) Set: bins	0.001	0.000	0.000
Event 100) Set: bins	0.001	0.000	0.000
Event 102) Set: bins	0.001	0.000	0.000
Event 104) Set: bins	0.001	0.000	0.000
Event 106) Set: bins	0.001	0.000	0.000
Event 108) Set: bins	0.001	0.000	0.000
Event 114) Set: bins	0.001	0.000	0.000
Event 116) Set: bins	0.001	0.000	0.000
Event 118) Set: bins	0.001	0.000	0.000
Event 124) Set: bins	0.001	0.000	0.000
Event 126) Set: bins	0.001	0.000	0.000
Event 128) Set: bins	0.001	0.000	0.000
Event 130) Set: bins	0.001	0.000	0.000
Event 132) Set: bins	0.001	0.000	0.000
Event 30) SockJS Initialize Connection	0.001	0.000	0.000
Event 31) Set: bins	0.001	0.000	0.000
Event 34) Set: bins	0.001	0.000	0.000
Event 36) Set: bins	0.001	0.000	0.000
Event 38) Set: bins	0.001	0.000	0.000
Event 40) Set: bins	0.001	0.000	0.000
Event 44) Set: bins	0.001	0.000	0.000
Event 46) Set: bins	0.001	0.000	0.000
Event 54) Set: bins	0.001	0.000	0.000
Event 62) Set: bins	0.001	0.000	0.000
Event 70) Set: bins	0.001	0.000	0.000
Event 72) Set: bins	0.001	0.000	0.000
Event 76) Set: bins	0.001	0.000	0.000
Event 80) Set: bins	0.001	0.000	0.000
Event 82) Set: bins	0.001	0.000	0.000
Event 90) Set: bins	0.001	0.000	0.000
Event 92) Set: bins	0.001	0.000	0.000
Event 94) Set: bins	0.001	0.000	0.000
Event 112) Set: bins	0.001	0.000	0.000
Event 120) Set: bins	0.001	0.000	0.000
Event 122) Set: bins	0.001	0.000	0.000

Event plots are arranged by the largest slope magnitude found when fitting a line to each run.

largest slope magnitudes

Event plots are arranged by the largest intercept magnitude found when fitting a line to each run

largest intercept magnitudes

Event plots are arranged by the largest error magnitude found when fitting a line to each run.

largest error magnitudes

Label	Slope	Intercept	Error
Event 2) Get: json2-min.js	-0.385	1.927	0.060
Event 33) Updated: distPlot	-0.156	1.021	0.173
Event 1) Get: Homepage	-0.113	1.524	0.618
Event 105) Updated: distPlot	0.086	-0.211	0.357
Event 127) Updated: distPlot	0.061	0.421	0.506
Event 115) Updated: distPlot	-0.060	0.381	0.043
Event 35) Updated: distPlot	-0.057	0.522	0.164
Event 99) Updated: distPlot	0.046	0.139	0.125
Event 133) Updated: distPlot	0.036	0.095	0.351
Event 24) Get: shiny-server-client.js	-0.035	0.546	0.028
Event 91) Updated: distPlot	-0.034	0.308	0.425
Event 65) Updated: distPlot	0.033	0.132	0.124
Event 51) Updated: distPlot	0.031	0.134	0.022
Event 103) Updated: distPlot	0.026	0.154	0.096
Event 45) Updated: distPlot	-0.026	0.258	0.058
Event 25) Get: fa-solid-900.woff2	0.025	0.488	0.037
Event 107) Updated: distPlot	0.024	0.172	0.155
Event 43) Updated: distPlot	0.024	0.192	0.044
Event 32) Initialize Session	0.022	0.093	0.106
Event 61) Updated: distPlot	0.020	0.173	0.207
Event 81) Updated: distPlot	0.017	0.183	0.097
Event 39) Updated: distPlot	0.016	0.175	0.039
Event 37) Updated: distPlot	0.015	0.131	0.094
Event 85) Updated: distPlot	0.015	0.124	0.066
Event 59) Updated: distPlot	0.014	0.174	0.141
Event 55) Updated: distPlot	-0.014	0.204	0.057
Event 69) Updated: distPlot	-0.013	0.203	0.036
Event 47) Updated: distPlot	-0.013	0.205	0.032
Event 63) Updated: distPlot	-0.012	0.197	0.028
Event 77) Updated: distPlot	-0.012	0.189	0.027
Event 131) Updated: distPlot	-0.012	0.194	0.047
Event 41) Updated: distPlot	-0.012	0.212	0.153
Event 125) Updated: distPlot	0.011	0.111	0.054
Event 71) Updated: distPlot	0.011	0.163	0.048
Event 53) Updated: distPlot	0.010	0.143	0.071
Event 73) Updated: distPlot	-0.010	0.185	0.058
Event 67) Updated: distPlot	-0.009	0.183	0.105
Event 97) Updated: distPlot	-0.008	0.173	0.059
Event 75) Updated: distPlot	-0.008	0.171	0.054
Event 89) Updated: distPlot	-0.008	0.185	0.076
Event 101) Updated: distPlot	0.007	0.149	0.026
Event 28) Start Session	-0.007	0.471	0.035
Event 119) Updated: distPlot	-0.007	0.161	0.030
Event 129) Updated: distPlot	0.006	0.112	0.037
Event 121) Updated: distPlot	-0.006	0.160	0.034
Event 95) Updated: distPlot	-0.006	0.161	0.055
Event 123) Updated: distPlot	-0.006	0.156	0.012
Event 57) Updated: distPlot	-0.005	0.166	0.025
Event 27) Get: Connection Information	0.004	0.321	0.014
Event 26) Get: Shiny Token	0.004	0.325	0.017
Event 111) Updated: distPlot	-0.003	0.164	0.185
Event 113) Updated: distPlot	-0.003	0.148	0.037
Event 109) Updated: distPlot	0.003	0.131	0.027
Event 87) Updated: distPlot	-0.002	0.144	0.035
Event 83) Updated: distPlot	0.002	0.136	0.047
Event 79) Updated: distPlot	0.001	0.140	0.064
Event 96) Set: bins	0.001	-0.003	0.001
Event 114) Set: bins	0.001	-0.003	0.001
Event 29) Start Connection	0.001	0.004	0.004
Event 110) Set: bins	-0.001	0.003	0.007
Event 92) Set: bins	0.001	-0.002	0.001
Event 93) Updated: distPlot	-0.001	0.164	0.068
Event 76) Set: bins	0.001	-0.002	0.001
Event 134) Stop Session	0.000	-0.001	0.003
Event 54) Set: bins	-0.000	0.002	0.001
Event 52) Set: bins	0.000	-0.001	0.001
Event 88) Set: bins	0.000	-0.002	0.001
Event 36) Set: bins	-0.000	0.002	0.001
Event 104) Set: bins	-0.000	0.002	0.001
Event 62) Set: bins	-0.000	0.002	0.001
Event 56) Set: bins	-0.000	0.002	0.001
Event 100) Set: bins	0.000	-0.001	0.001
Event 74) Set: bins	-0.000	0.001	0.001
Event 44) Set: bins	-0.000	0.001	0.001
Event 108) Set: bins	0.000	-0.001	0.001
Event 80) Set: bins	-0.000	0.001	0.001
Event 70) Set: bins	-0.000	0.001	0.001
Event 66) Set: bins	0.000	-0.001	0.001
Event 68) Set: bins	0.000	-0.001	0.001
Event 122) Set: bins	-0.000	0.001	0.001
Event 98) Set: bins	-0.000	0.001	0.001
Event 102) Set: bins	0.000	-0.001	0.001
Event 38) Set: bins	-0.000	0.001	0.001
Event 86) Set: bins	-0.000	0.001	0.001
Event 130) Set: bins	0.000	-0.001	0.001
Event 112) Set: bins	-0.000	0.001	0.001
Event 60) Set: bins	-0.000	0.001	0.001
Event 118) Set: bins	-0.000	0.001	0.001
Event 46) Set: bins	-0.000	0.001	0.001
Event 30) SockJS Initialize Connection	-0.000	0.001	0.001
Event 31) Set: bins	-0.000	0.001	0.001
Event 126) Set: bins	0.000	-0.001	0.001
Event 84) Set: bins	-0.000	0.001	0.001
Event 58) Set: bins	-0.000	0.001	0.001
Event 42) Set: bins	-0.000	0.001	0.001
Event 90) Set: bins	0.000	-0.000	0.001
Event 72) Set: bins	-0.000	0.001	0.001
Event 40) Set: bins	-0.000	0.001	0.001
Event 124) Set: bins	0.000	0.000	0.001
Event 132) Set: bins	-0.000	0.001	0.001
Event 64) Set: bins	-0.000	0.001	0.001
Event 106) Set: bins	-0.000	0.001	0.001
Event 94) Set: bins	0.000	0.000	0.001
Event 82) Set: bins	0.000	0.000	0.001
Event 34) Set: bins	0.000	-0.000	0.001
Event 120) Set: bins	-0.000	0.000	0.001
Event 78) Set: bins	0.000	0.000	0.001
Event 128) Set: bins	-0.000	0.001	0.001
Event 3) Get: jquery.min.js		0.568	0.084
Event 4) Get: shiny.css		0.340	0.017
Event 5) Get: shiny.min.js		0.524	0.068
Event 6) Get: jquery-ui.min.js		0.799	0.188
Event 7) Get: showdown.js		0.334	0.017
Event 8) Get: ion.rangeSlider.css		0.339	0.036
Event 9) Get: ion.rangeSlider.skinShiny.css		0.337	0.040
Event 10) Get: bootstrap.min.css		0.591	0.060
Event 11) Get: all.min.css		0.485	0.037
Event 12) Get: v4-shims.min.css		0.413	0.029
Event 13) Get: rstudio.css		0.333	0.024
Event 14) Get: shiny-showcase.css		0.336	0.032
Event 15) Get: rstudio-connect.css		0.324	0.016
Event 16) Get: highlight.pack.js		0.342	0.197
Event 17) Get: ion.rangeSlider.min.js		0.459	0.040
Event 18) Get: strftime-min.js		0.338	0.057
Event 19) Get: bootstrap.min.js		0.409	0.038
Event 20) Get: html5shiv.min.js		0.336	0.044
Event 21) Get: respond.min.js		0.338	0.052
Event 22) Get: shiny-showcase.js		0.338	0.041
Event 23) Get: sockjs-0.3.min.js		0.330	0.064
Event 48) Set: bins		0.000	0.001
Event 49) Updated: distPlot		0.153	0.053
Event 50) Set: bins		0.000	0.001
Event 116) Set: bins		0.000	0.001
Event 117) Updated: distPlot		0.137	0.028