Accessing Web User Interfaces from Cloudera Data Science Workbench

Spark 2 Web UIs (CDSW_SPARK_PORT)

Spark 2 exposes one web UI for each Spark application driver running in Cloudera Data Science Workbench. The UI will be running within the container, on the port specified by the environmental variable CDSW_SPARK_PORT. By default, CDSW_SPARK_PORT is set to 20049. The web UI will exist only as long as a SparkContext is active within a session. The port is freed up when the SparkContext is shutdown.

Spark 2 web UIs are available in browsers at: https://spark-<$CDSW_ENGINE_ID>.<$CDSW_DOMAIN>. To access the UI while you are in an active session, click the grid icon in the upper right hand corner of the Cloudera Data Science Workbench web application, and select Spark UI from the dropdown. For a job, navigate to the job overview page and click the History tab. Click on a job run to open the session output for the job. You can now click the grid icon in the upper right hand corner of the Cloudera Data Science Workbench web application to access the Spark UI for this session.

TensorBoard, Shiny, and others (CDSW_PUBLIC_PORT)

CDSW_PUBLIC_PORT is an environment variable that points to a general purpose public port. By default, CDSW_PUBLIC_PORT is set to port 8080. Any HTTP services running in containers that bind to CDSW_PUBLIC_PORT are available in browsers at: http://<$CDSW_ENGINE_ID>.<$CDSW_DOMAIN>. Therefore, TensorBoard, Shiny, Flask or any other web framework accompanying a project can be accessed directly from within a session or job, as long as it is run on CDSW_PUBLIC_PORT.

To access the UI while you are in an active session, click the grid icon in the upper right hand corner of the Cloudera Data Science Workbench web application, and select the UI from the dropdown. For a job, navigate to the job overview page and click the History tab. Click on a job run to open the session output for the job. You can now click the grid icon in the upper right hand corner of the Cloudera Data Science Workbench web application to access the UI for this session.

# ui.R

library(shiny)

# Define UI for application that draws a histogram
shinyUI(fluidPage(

  # Application title
  titlePanel("Hello Shiny!"),

  # Sidebar with a slider input for the number of bins
  sidebarLayout(
    sidebarPanel(
      sliderInput("bins",
                  "Number of bins:",
                  min = 1,
                  max = 50,
                  value = 30)
    ),

    # Show a plot of the generated distribution
    mainPanel(
      plotOutput("distPlot")
    )
  )
))

# server.R 

library(shiny)

# Define server logic required to draw a histogram
shinyServer(function(input, output) {

  # Expression that generates a histogram. The expression is
  # wrapped in a call to renderPlot to indicate that:
  #
  #  1) It is "reactive" and therefore should re-execute automatically
  #     when inputs change
  #  2) Its output type is a plot

  output$distPlot <- renderPlot({
    x    <- faithful[, 2]  # Old Faithful Geyser data
    bins <- seq(min(x), max(x), length.out = input$bins + 1)

    # draw the histogram with the specified number of bins
    hist(x, breaks = bins, col = 'darkgray', border = 'white')
  })
})