Rust Analyzer is a frontend compiler for Rust programming. In other words, it’s an integrated development environment (IDE) server that provides semantic analysis, smart code completion, and more for your Rust code.
Prerequisites
To follow along with this tutorial, you’ll need:
- Rust installed
- An IDE, such as VS Code, installed
- A basic understanding of Rust
Objectives
The goals of this tutorial are to break down the benefits of using Rust Analyzer over other compilers, demonstrate how to set it up with VS Code, and walk through using some of the most useful features.
Key terms
You’ll need to understand the following basic terms.
- Rust Language Server (RLS) — An IDE server that is similar to Rust Analyzer but has a different architecture. It runs its compiler on a whole project and builds up a large JSON file that includes the information derived from the process. It checks and monitors every function code structure after every keystrokes and restructures it when checked. It also uses Racer for its code completion because its compiler gets slow during this process
- Language Server Protocol (LSP) — A protocol designed to develop rich code features, such as smart code completions, goto code definition, linting, search and much more for IDEs and code editors using a language server. Most languages emulate this protocol because it helps to define a standard for various IDEs and editors
Why Rust Analyzer ?
Rust analyzer is developed to monitor user keystrokes, which helps it maintain a persistent compilation process as it analyzes the code on changes. In other words, it analyzes only the code in the file that’s currently active or opened in the IDE or editor.
Installing Rust Analyzer
Rust Analyzer is available for most IDEs with LSP support. To name a few, Vim, Emacs and VS Code have plugins for Rust Analyzer.
You can install the plugin directly from the Visual Studio Marketplace.
You’ll be prompted to install the rust-analyzer server to make the plugin work.
To get regular updates, you’ll be prompted to install Nightly on VS Code.
You could also install the rust-analyzer server from binary by following the appropriate procedure below.
- Mac:
rust-analyzer-mac - Windows:
rust-analyzer-windows.exe - Linux:
rust-analyzer-linux
The command below is meant for Mac and Linux users. Windows users can easily run the executable file directly.
curl -L https://github.com/rust-analyzer/rust-analyzer/releases/latest/download/rust-analyzer-mac -o ~/.local/bin/rust-analyzer chmod +x ~/.local/bin/rust-analyzer
Make sure the ~/.local/bin is added or listed in your environment variable.
Features of Rust Analyzer
Now let’s walk through how to use some of Rust Analyzer’s key features.
Definition
Definition refers to the process of locating a function/struct/impl/mod/pub source code context from the declaration or initialization using the following shortcut.
- F12 / fn F12 on mac
- Ctrl + click / Command + click
profile.rs
pub fn display_fullname(name: &str) {
println!("Welcome back, {}");
}
main.rs
mod profile;
fn main() {
profile::display_fullname("Abiodun Solomon");
}
Execute the shortcut above by moving the cursor to the function display_fullname() on main.rs and then hitting fn + F12.
Symbol search
This feature is implemented on existing code search in VS Code, which uses fuzzy search to interface all available symbols — such as structs, enums, functions, etc. — in the whole project.
To do this, hit ctrl/cmd + T , then start the search with the # sign followed by the symbol name.
Symbol file analyses
Similar the symbol search, you have to start the search with @ sign or use ctrl/cmd + shift + o. This enables you to critically analyze the code snippets of that particular file and easily navigate on the search pane by switching between code snippets in the same file.
Syntax highlighting
Rust analyzer provides full-fledged syntax highlighting, which helps make your code more readable and understandable. This feature also helps you easily identify bugs in code when the code color changes unexpected.
Code execution
This feature makes it simple to run and debug your code, provided you have CodeLLDB or MS C++ installed. These icons are always at the top of the main function.
After clicking Run, you should see the terminal building and executing your code without the hassle of typing cargo build and cargo run.
Datatype detection
Datatype detection helps you identify the type of data that is assigned to a variable and displays it in gray text at the front of the variable name. It does the same for the function argument by appending the parameters to the front of the value.
The i32 in light gray is added by Rust Analyzer to help you understand the type of data available in those variables.
fn display_name(name: &str) {
println!("Welcome back, {}", name);
}
Error popup
This feature helps you spot errors in your code before execution. A red highlight displays underneath the function and defines the error when hovered over.
Click on peek problem to see the full error message.
Auto-create missing module
This useful feature enables you to create a missing module when not available in the project by clicking the Quick Fix on the popup dialog box. You could also use ctrl/cmd + . instead.
Click on create module to create a new file called manager.rs, which can be found in your project directory.
Implementation locator
This feature lets you index struct declarations throughout the whole project. It’s particularly useful when you have a large number of structs in your project.
The above example is peeking the struct implementation in a single file. The struct declaration and usage are both in the same file. You could also peek the implementation when the struct and the usage are both in different Rust files, depending on the structure of your project.
Conclusion
You should now have a clear understanding of the Language Server Protocol and the difference between Rust Analyzer and Rust Language Server. With the knowledge you gained from this tutorial, you’re ready to take full advantage of the semantics analysis and smart code completion capabilities of Rust Analyzer.
LogRocket: Full visibility into production Rust apps
Debugging Rust applications can be difficult, especially when users experience issues that are difficult to reproduce. If you’re interested in monitoring and tracking performance of your Rust apps, automatically surfacing errors, and tracking slow network requests and load time, try LogRocket.
LogRocket is like a DVR for web apps, recording literally everything that happens on your Rust app. Instead of guessing why problems happen, you can aggregate and report on what state your application was in when an issue occurred. LogRocket also monitors your app’s performance, reporting metrics like client CPU load, client memory usage, and more.
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