Step 16: After several seconds (depending on the weight of your app), the Shiny app should appear in your internet browser: Step 15: Go back to the window where you can publish your app, choose a title (without space) and click on the Publish button: Your computer is now authorized to deploy applications to your shinyapps.io account. Step 14: Go back to RStudio, paste the code in the console and run it: Step 13: Copy the code and click on the OK button: Step 12: Now the code is complete (nothing is hidden anymore). Step 11: Click on the Show Secret button: Create one by clicking on the Add Token button. Step 10: If this is your first app, there should be no token already created. Step 9: Click on your name and then on Tokens Step 8: Click on the Dashboard button to log in into your account: Step 7: Click on the link to your ShinyApps account: Step 6: Click on the first alternative (ShinyApps.io): Click on “Add New Account” to link the shinyapps.io account you just created:

Step 5: If it is your first Shiny app, the box “Publish From Account” should be empty. Run the app by clicking on the Run App button to see the result: Step 3: In the same way as when you open a new R Markdown document, the code for a basic Shiny app is created. Step 2: Give it a name (without space), choose where to save it and click on the Create button: Databricks recommends rewriting Shiny apps such that they do not require a long-lived connection and do not over-rely on session state.Step 1: Open RStudio and create a new Shiny app: However, the underlying WebSocket connection can close at any time by a variety of factors including network instability or computer sleep mode.

You must refresh the Shiny app to reconnect in these cases. There is a hard limit of 12 hours since the initial page load after which any connection, even if active, will be terminated. # Write an app that uses spark to access data on Databricks # First, install the following packages: install.packages (‘ future’ ) install.packages (‘ promises’ ) library ( shiny ) library ( promises ) library ( future ) plan ( multisession ) HEARTBEAT_INTERVAL_MILLIS = 1000 # 1 second # Define the long Spark job here run_spark % result () # Or: fut % result() busy ( 1 ) # Catch exceptions and notify the user fut <- catch ( fut, function ( e ) shinyApp ( ui = ui, server = server )

Create shiny app in rstudio