Storing reactive data in brilliant form from SQL

This follows this question:

SQL Database Recognition Using Brilliant Responsive Query

I am trying to create a dataframe from data retrieved from a SQL database using a brilliant application. Currently I can query the database and return one set of data. Now I would like to store this data in a dataframe and then add more data from subsequent requests. Here is my code:

interface

library(markdown)

shinyUI(fluidPage(
  titlePanel("Generic grapher"),
  sidebarLayout(
    sidebarPanel(

      numericInput("wafer", label = h3("Select wafer ID:"), value = NULL),

      actionButton("do", "An action button")
      ),

      mainPanel(
        verbatimTextOutput("value"), verbatimTextOutput("que"), dataTableOutput(outputId="pos")
      )
    )
  )
)

      

Server:

library(RMySQL)
library(DBI)
library(sqldf)

con = dbConnect(RMySQL::MySQL(), dbname="xx", username="pete", password="xx", host="xx", port=3306)
query <-  function(...) dbGetQuery(con, ...) 

wq = data.frame()

shinyServer(function(input, output){

  d <- eventReactive(input$do, { input$wafer })

  output$value <- renderPrint({ d() }) 

  a <- reactive({ paste("Select id from wafer where wafer_id=",d(), sep="") })

  output$que <- renderPrint({ a() }) 

  wq <- reactive({  query( a() ) })

  output$pos <- renderDataTable({ wq() })  

  })

      

I am now trying to use the information from these two answers to store data from every search I do on a dataframe:

Add values ​​to reactive table shiny

What is the difference between reactive value and reactive expression?

New server:

library(RMySQL)
library(DBI)
library(sqldf)

con = dbConnect(RMySQL::MySQL(), dbname="xx", username="pete", password="xx", host="xx", port=3306)
query <-  function(...) dbGetQuery(con, ...) 

wq = data.frame()

shinyServer(function(input, output){

  values <- reactiveValues()
  values$df <- data.frame()

  d <- eventReactive(input$do, { input$wafer })

  output$value <- renderPrint({ d() }) 

  a <- reactive({ paste("Select id from wafer where wafer_id=",d(), sep="") })

  output$que <- renderPrint({ a() }) 

  wq <- reactive({  query( a() ) })

  values$df <- reactive({ rbind(values$df, wq() )   }) 

  output$pos <- renderDataTable({ values$df })  

  })

      

However, when I do this, the data table is never shown in my application. I have no error message. Any ideas where I'm going wrong? Any help is appreciated!

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1 answer


I think the change

values$df <- reactive({ rbind(values$df, wq() )   }) 

      

in your new server.R

before

observe({
  values$df <- rbind(isolate(values$df), wq())
})

      



might solve your problem.

EDIT: Here's an example of working with a local connection:

library(markdown)
library(RMySQL)
library(DBI)
library(sqldf)

con <- dbConnect(RSQLite::SQLite(), ":memory:")
dbWriteTable(con, "mtcars", mtcars)
query <-  function(...) dbGetQuery(con, ...) 

wq = data.frame()

ui <- shinyUI(fluidPage(
  titlePanel("Generic grapher"),
  sidebarLayout(
    sidebarPanel(

      numericInput("wafer", label = h3("Select number of cylinders:"),
                   value = NULL),

      actionButton("do", "An action button")
    ),

    mainPanel(
      verbatimTextOutput("value"),
      verbatimTextOutput("que"),
      verbatimTextOutput("wq_print"),
      dataTableOutput(outputId="pos")
    )
  )
)
)

server <- shinyServer(function(input, output){

  values <- reactiveValues()
  values$df <- data.frame()

  d <- eventReactive(input$do, { input$wafer })

  output$value <- renderPrint({ d() }) 

  a <- reactive({ paste("SELECT * FROM mtcars WHERE cyl = ", d(), sep="") })

  output$que <- renderPrint({ a() }) 

  observe({
    if (!is.null(d())) {
      wq <- reactive({  query( a() ) })

      output$wq_print <- renderPrint({ print(str(wq())) })

      values$df <- rbind(isolate(values$df), wq())
    }
  })

  output$pos <- renderDataTable({ values$df })  

})

shinyApp(ui, server)

      

The corresponding changes in the source code are a condition !is.null(d())

for handling the initial value NULL

d()

and using it values$df <- rbind(isolate(values$df), wq())

inside the observer. Hope it helps with some code fixes!

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