How to insert reactive input values from a shiny app into a MySQL database?

Problem :

I created an online experiment with the shiny package for R. Let's say I have 3 reactive values called "toss", "decision" and "rating".
Additionally, I launched a MySQL database on Amazon web service RDS. The version is MySQL 5.6.22.
I successfully managed to to send non-reactive values- like the timestamp- to MySQL database. So I assume the problem is where to locate the code talking to MySQL within the Server.R code. For non-reactive values it works perfectly when the code is outside (before) the reactive server-function. But with reactive values I suppose it should be somewhere within.

I tried this code:

    con <- dbConnect(MySQL(), dbname="db", username="myname", password="mypassword", host="", port=xxxx)
   function(input, output, session){
       sql <- reactive({
                paste("insert into scenario1 (toss, dec, rat, timestamp) 
                     values (",input$toss,",",input$decision,",",input$rating,"now())")
       result<-reactive({dbSendQuery(con, sql())})

This way, I do not get an error message. So maybe the error is within the insert into-code.

Additionally, I'm not sure whether the packages that I used are ideal for this purpose. I tried out a lot of things. Whenever I add a reactive value by leaving it out of the SQL-quote it stops working. I'm starting to think that RMySQL is missing that feature. There is nothing about insert into in the manual.

Is anyone able to detect the mistake I made?

Solution :

Finally, I could make the query run with this code:

writingMarks <- function(input){ 
    con <- dbConnect(MySQL(), dbname="db", username="myname", password="mypassword", 
           host="", port=xxxx)   
    result <- sprintf<-("insert into scenario1 (toss, dec, timestamp) values (%s,%s,%s)",
                input$toss, input$decision, "now()")
    dbSendQuery(con, result)

I could not make the paste query run. With sprintf there is less confusion with the commas.

And, yes I indeed had to add an isolate(). I inserted it into an observe(). So it looks like this:

    if (input$condition==1){

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