Code profiling for Shiny app?

Question

For an R Shiny web app, what are some good ways to run code profiling that show the parts of the Shiny code that are taking the most processing time?

I\'ve got a bi

Answer 1

From my experiences:

1. Plugin print() in the functions You can find out which function takes most of the time. For example:

mydebug <- function(msg="[DEBUG]") { DEBUG <- FALSE if (DEBUG) { print(sprintf("%s - %s - %s", msg1, as.character(Sys.time()), as.character(deparse(sys.calls()[[sys.nframe()-1]])))) } } f <- function() { mydebug() ## your original function definitions ..... mydebug() return(...) ## the returned value needs to be after mydebug() }

2. Use Chrome flame graph to profile

You can obtain a flame to find out where the time spent (e.g., which JS function? Is it due to layout?).

For details, refer to: https://developers.google.com/web/tools/chrome-devtools/profile/rendering-tools/analyze-runtime?hl=en