mirai.promises
makes ‘mirai’ ‘promises’ for easy integration in ‘plumber’ or ‘shiny’ pipelines.
mirai.promises
also makes nanonext
‘recvAio’ ‘promises’, working on asynchronous message receives.
mirai
>= 0.11.1 already supports ‘promises’ out of the box. In this case, loading mirai.promises
after mirai
will mask the equivalent method to provide additional functionality offered by this package such as allowing a custom polling interval.
Install the latest release from CRAN:
install.packages("mirai.promises")
Or the development version from R-universe:
install.packages("mirai.promises", repos = "https://shikokuchuo.r-universe.dev")
polling()
may be used to customise the frequency with which to poll for promise resolution (defaults to every 100 ms).
Package authors wishing to use the S3 methods contained within this package may simply import the polling()
function to make them available.
The below example simulates a plot function requiring a long compute in a ‘shiny’ app.
This app takes c. 2s to start compared to the 8s it would otherwise take if the ‘long-running’ computations were not running on parallel workers.
library(shiny)
library(mirai)
library(promises)
library(mirai.promises)
polling(freq = 50L)
# set 4 persistent workers
daemons(n = 4L)
ui <- fluidPage(
fluidRow(
plotOutput("one"),
plotOutput("two"),
),
fluidRow(
plotOutput("three"),
plotOutput("four"),
)
)
make_plot <- function(time) {
Sys.sleep(time)
runif(10)
}
args <- list(make_plot = make_plot, time = 2)
server <- function(input, output, session) {
output$one <- renderPlot(mirai(make_plot(time), .args = args) %...>% plot())
output$two <- renderPlot(mirai(make_plot(time), .args = args) %...>% plot())
output$three <- renderPlot(mirai(make_plot(time), .args = args) %...>% plot())
output$four <- renderPlot(mirai(make_plot(time), .args = args) %...>% plot())
session$onSessionEnded(stopApp)
}
shinyApp(ui = ui, server = server)
Joe Cheng for optimising the promises method to work seamlessly within Shiny.
Daniel Falbel for the original version of the above example and agreeing to its use here, as well as the specific use case that motivated this package.
mirai.promises
on CRAN: https://cran.r-project.org/package=mirai.promises
mirai
website: https://shikokuchuo.net/mirai/mirai
on CRAN: https://cran.r-project.org/package=mirai
- High Performance Computing CRAN Task View: https://cran.r-project.org/view=HighPerformanceComputing
nanonext
website: https://shikokuchuo.net/nanonext/nanonext
on CRAN: https://cran.r-project.org/package=nanonext
–
Please note that the mirai.promises project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.