In jcrodriguez1989/shinyParallel: Multi-Session Shiny Apps

Run Shiny applications in a multi-session mode.

Prevents that if a user executes a long computing task penalizing others.

ShinyParallel manages incoming users and redistributes them between multiple sessions created for your Shiny app. It provides two modes of use:

• From an R console: ShinyParallel reimplements the function shiny::runApp(<params>). In this sense, the only thing to do to run an app in multi-session mode is to call it using shinyParallel::runApp(<params>).
• Installing ShinyParallel in a Shiny server (may require root): by the shinyParallel::installShinyParallel(<params>) function, ShinyParallel is installed in your Shiny server for any desired app.

Note: ShinyParallel should work on any operating system that supports R, however it has been tested only under Linux (Ubuntu).

Features

• Run a Shiny app in multiple sessions (processes / physical cores).
• Decide the maximum number of users per session.
• It allows to visualize the number of users currently present in each session.

Installation

ShinyParallel is currently only available as a GitHub package. To install it run the following from an R console:

if (!require("remotes")) {
  install.packages("remotes")
}
remotes::install_github("jcrodriguez1989/shinyParallel")

runApp mode

Usage

If you run your Shiny app like this:

runApp(appDir=myApp, <otherParams>)

Just replace it by:

shinyParallel::runApp(appDir=myApp, <otherParams>)

The only parameter that varies is port, in shinyParallel::runApp the parameter is modified by ports. And instead of being numeric of length 1, it will now be numeric of length equal to the number of ports available to use. Where the first port will be used by the ShinyParallel app, and the rest by the generated sessions.

The shinyParallel::runApp function has two additional parameters:

• max.sessions: Maximum number of sessions to use.
• users.per.session: Maximum number of admited users per each session.

Example

library("shiny")

# Create a Shiny app object
app <- shinyApp(
  ui = fluidPage(
    column(3, wellPanel(
      numericInput("n", label = "Is it prime?", value = 7, min = 1),
      actionButton("check", "Check!")
    ))
  ),
  server = function(input, output) {
    # Check if n is prime.
    # Not R optimized.
    # No Fermat, Miller-Rabin, Solovay-Strassen, Frobenius, etc tests.
    # Check if n is divisable up to n-1 !!
    isPrime <- function(n) {
      res <- TRUE
      i <- 2
      while (i < n) {
        res <- res && n %% i != 0
        i <- i + 1
      }
      return(res)
    }
    observeEvent(input$check, {
      showModal(modalDialog(
        ifelse(isPrime(isolate(input$n)),
          "Yes it is!", "Nope, not a prime."
        ),
        footer = NULL,
        easyClose = TRUE
      ))
    })
  }
)

# Run it with Shiny
shiny::runApp(app)
# Run it with ShinyParallel default params
shinyParallel::runApp(app)
# Run it with ShinyParallel, give one session per user
shinyParallel::runApp(app, max.sessions = Inf, users.per.session = 1)

In this example, if the app is run with shiny::runApp, and a user wants to calculate if the number 179424691 is prime then the app will be blocked for other users for some minutes, if the app is run with shinyParallel::runApp not.

If the shiny app url is http://<url>:<port>/ then enter http://<url>:<port>/?admin to view a panel that lists the number of users currently present in each session.

installShinyParallel mode

Usage

If your application is at <myAppPath>, i.e., from an R terminal runApp(<myAppPath>) starts the app, then to install it on the server just run R as root (or make sure the actual user has write permissions on the Shiny server) and run the installShinyParallel(<myAppPath>) command.

Example

First, let's create our Shiny app, from a Linux terminal type: ```{bash eval=F} cd ~ mkdir myShinyApp echo " library('shiny')

# Create a Shiny app object
app <- shinyApp(
  ui = fluidPage(
    column(3, wellPanel(
      numericInput('n', label = 'Is it prime?', value = 7, min = 1),
      actionButton('check', 'Check!')
    )
  )),
  server = function(input, output) {
    # Check if n is prime.
    # Not R optimized.
    # No Fermat, Miller-Rabin, Solovay-Strassen, Frobenius, etc tests.
    # Check if n is divisable up to n-1 !!
    isPrime <- function(n) {
      res <- TRUE
      i <- 2
      while (i < n) {
        res <- res && n %% i != 0
        i <- i + 1
      }
      return(res)
    }
    observeEvent(input\$check, {
      showModal(modalDialog(
        ifelse(isPrime(isolate(input\$n)),
            'Yes it is!', 'Nope, not a prime.'),
        footer = NULL,
        easyClose = TRUE
      ))
    })
  }
)

" > myShinyApp/app.R

So now we can try our app, and install it with multi-session feature, from a R 
(sudo) console type:

```r
library("shinyParallel")
# And install it
shinyParallel::installShinyParallel("./myShinyApp",
  max.sessions = 20,
  users.per.session = 5
)

Limitations

• Each session that ShinyParallel generates is independent of the others, i.e., the global variables of a session (shiny app) will not be modified in another one. Two users present in different session will not be able to interact with the same values of the variables.

jcrodriguez1989/shinyParallel documentation built on June 25, 2021, 7:41 p.m.