In particular, you should follow through the instructions in RStudio Development to get your development environment set up correctly. Many of them contain useful information that will help you get started. Take a look at the other pages in this wiki. The frontend is implemented roughly according to the MVP architecture, with an event loop that receives events from an input source and dispatches them to their handlers. Generally, however, we prefer to write anything of a reasonable magnitude in Java, due to the advantages that Java offers in terms of type safety, refactoring capabilities, widget libraries, and the ability to design scalable architectures. There are small amounts of native JavaScript code embedded within the Java code for circumstances in which we need to access raw objects and browser APIs. In turn, the HTML that the server returns is built by the JavaScript code. This is because we use a framework called GWT which we use to write Java code that gets transpiled into JavaScript. There is also very little JavaScript code. If you examine the source code of RStudio, you'll find that there are no HTML files. These resources (usually a mixture of HTML, CSS, images, and JavaScript) are what we refer to as the frontend. In the server architecture section, it was briefly mentioned that the server process is responsible for serving the resources requested by the web browser. So far, everything that's been discussed, except the web browser, we refer to as the backend, and the frontend has been glossed over. This diagram shows process names as they appear on Windows systems. See here for more details on QtWebEngine. In older versions, this was achieved using QtWebEngine. Starting with RStudio version 2022.12.0+353 (Elsbeth Geranium) this is achieved using Electron. The "Desktop" process, on the other hand, does have the same responsibilities as the "Server" process, but it also is responsible for acting as the web browser and displaying a GUI. Since there can only be one user, there is no need for more R sessions. The R session in RStudio Desktop has the same responsibilities as each R session in RStudio Server. The main differences between RStudio Server and RStudio Desktop are the apparent lack of a web browser and the existence of only one R session. DesktopĪs you can see from the diagram below, the RStudio Desktop architecture, while still multi-process, is significantly simpler. This diagram shows process names as they appear on Unix systems (e.g. Because there are many R sessions, as opposed to one server process, and R sessions are allocated per user most things that need to happen on a per user basis will be done in the R session. Each user can have one active session, and the server implements a form of sticky sessions based on the client ID to keep the user connected to their currently active session. R sessions are created on a per-user basis. The R session processes, or R sessions, are responsible for executing any R code. The web browser sends HTTP requests and the server responds as any web server would - by supplying the requested resource (if available). The server process is responsible for acting as an HTTP server. It's composed of a single "Server" process and one or more "R Session" processes. RStudio Server has a multi-process architecture. Desktop is basically a simplified version of Server, so we'll start by understanding how Server works, and then come back and look at how that is modified for Desktop. Understanding the ArchitectureĪt this point, you may be familiar with the fact that the RStudio IDE has two deployment models: Desktop and Server. The purpose of this article is to help you understand the RStudio IDE codebase a little better and kick start your feature development. Learning a new codebase can be a daunting task, and trying to add a feature to a codebase that you're still trying to learn can be more daunting still.
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