Plumber 0.4.0 will include breaking changes to the API.
Please see the migration guide for instructions on migrating your API to version 0.4.0.
You can see the current list of breaking changes planned for the 0.4.0 release here. Issue #101, in particular, is likely to affect you if you run Plumber instances in production, see details and remediation here.
You can install version 0.3.3 of Plumber (the latest version that did not have breaking changes) using devtools:
devtools::install_github("trestletech/plumber", ref="v0.3.3")
Plumber allows you to create a REST API by merely decorating your existing R source code with special comments. Take a look at an example.
# plumber.R
#* @get /mean
normalMean <- function(samples=10){
data <- rnorm(samples)
mean(data)
}
#* @post /sum
addTwo <- function(a, b){
as.numeric(a) + as.numeric(b)
}These comments allow plumber to make your R functions available as API endpoints. You can use either #* as the prefix or #', but we recommend the former since #' will collide with Roxygen.
> library(plumber)
> r <- plumb("plumber.R") # Where 'plumber.R' is the location of the file shown above
> r$run(port=8000)You can visit this URL using a browser or a terminal to run your R function and get the results. Here we're using curl via a Mac/Linux terminal.
$ curl "http://localhost:8000/mean"
[-0.254]
$ curl "http://localhost:8000/mean?samples=10000"
[-0.0038]
As you might have guessed, the request's query string parameters are forwarded to the R function as arguments (as character strings).
$ curl --data "a=4&b=3" "http://localhost:8000/sum"
[7]
You can also send your data as JSON:
$ curl --data '{"a":4, "b":5}' http://localhost:8000/sum
[9]
You can install the latest stable version from CRAN using the following command:
install.packages("plumber")If you want to try out the latest development version, you can install it from GitHub. The easiest way to do that is by using devtools.
library(devtools)
install_github("trestletech/plumber")
library(plumber)If you're just getting started with hosting cloud servers, the DigitalOcean integration included in plumber will be the best way to get started. You'll be able to get a server hosting your custom API in just two R commands. Full documentation is available at https://www.rplumber.io/docs/digitalocean/.
A couple of other approaches to hosting plumber are also made available:
- jug - an R package similar to Plumber but uses a more programmatic approach to constructing the API.
- OpenCPU - A server designed for hosting R APIs with an eye towards scientific research.
plumber was originally released as the rapier package and has since been renamed (7/13/2015).