Work-in-progress ergonomic Rust bindings to Cloudflare Workers environment. Write your entire worker in Rust!
Read the Notes and FAQ
Example Usage
use worker::*;
#[event(fetch)]
pub async fn main(req: Request, env: Env, _ctx: worker::Context) -> Result<Response> {
console_log!(
"{} {}, located at: {:?}, within: {}",
req.method().to_string(),
req.path(),
req.cf().coordinates().unwrap_or_default(),
req.cf().region().unwrap_or("unknown region".into())
);
if !matches!(req.method(), Method::Post) {
return Response::error("Method Not Allowed", 405);
}
if let Some(file) = req.form_data().await?.get("file") {
return match file {
FormEntry::File(buf) => {
Response::ok(&format!("size = {}", buf.bytes().await?.len()))
}
_ => Response::error("`file` part of POST form must be a file", 400),
};
}
Response::error("Bad Request", 400)
}
Router
:
Or use the Parameterize routes and access the parameter values from within a handler. Each handler function takes a
Request
, and a RouteContext
. The RouteContext
has shared data, route params, Env
bindings, and more.
use worker::*;
#[event(fetch)]
pub async fn main(req: Request, env: Env, _ctx: worker::Context) -> Result<Response> {
// Create an instance of the Router, which can use parameters (/user/:name) or wildcard values
// (/file/*pathname). Alternatively, use `Router::with_data(D)` and pass in arbitrary data for
// routes to access and share using the `ctx.data()` method.
let router = Router::new();
// useful for JSON APIs
#[derive(Deserialize, Serialize)]
struct Account {
id: u64,
// ...
}
router
.get_async("/account/:id", |_req, ctx| async move {
if let Some(id) = ctx.param("id") {
let accounts = ctx.kv("ACCOUNTS")?;
return match accounts.get(id).json::<Account>().await? {
Some(account) => Response::from_json(&account),
None => Response::error("Not found", 404),
};
}
Response::error("Bad Request", 400)
})
// handle files and fields from multipart/form-data requests
.post_async("/upload", |mut req, _ctx| async move {
let form = req.form_data().await?;
if let Some(entry) = form.get("file") {
match entry {
FormEntry::File(file) => {
let bytes = file.bytes().await?;
}
FormEntry::Field(_) => return Response::error("Bad Request", 400),
}
// ...
if let Some(permissions) = form.get("permissions") {
// permissions == "a,b,c,d"
}
// or call `form.get_all("permissions")` if using multiple entries per field
}
Response::error("Bad Request", 400)
})
// read/write binary data
.post_async("/echo-bytes", |mut req, _ctx| async move {
let data = req.bytes().await?;
if data.len() < 1024 {
return Response::error("Bad Request", 400);
}
Response::from_bytes(data)
})
.run(req, env).await
}
Getting Started
The project uses wrangler version 2.x for running and publishing your Worker.
Get the Rust worker project template manually, or run the following command:
npm init cloudflare project_name worker-rust
cd project_name
You should see a new project layout with a src/lib.rs
. Start there! Use any local or remote crates
and modules (as long as they compile to the wasm32-unknown-unknown
target).
Once you're ready to run your project:
First check that the wrangler version is 2.x
npx wrangler --version
Then, run your worker
npx wrangler dev
Finally, go live:
# configure your routes, zones & more in your worker's `wrangler.toml` file
npx wrangler publish
If you would like to have wrangler
installed on your machine, see instructions in wrangler repository.
Durable Object, KV, Secret, & Variable Bindings
All "bindings" to your script (Durable Object & KV Namespaces, Secrets, and Variables) are
accessible from the env
parameter provided to both the entrypoint (main
in this example), and to
the route handler callback (in the ctx
argument), if you use the Router
from the worker
crate.
use worker::*;
#[event(fetch, respond_with_errors)]
pub async fn main(req: Request, env: Env, _ctx: worker::Context) -> Result<Response> {
utils::set_panic_hook();
let router = Router::new();
router
.on_async("/durable", |_req, ctx| async move {
let namespace = ctx.durable_object("CHATROOM")?;
let stub = namespace.id_from_name("A")?.get_stub()?;
stub.fetch_with_str("/messages").await
})
.get("/secret", |_req, ctx| {
Response::ok(ctx.secret("CF_API_TOKEN")?.to_string())
})
.get("/var", |_req, ctx| {
Response::ok(ctx.var("BUILD_NUMBER")?.to_string())
})
.post_async("/kv", |_req, ctx| async move {
let kv = ctx.kv("SOME_NAMESPACE")?;
kv.put("key", "value")?.execute().await?;
Response::empty()
})
.run(req, env).await
}
For more information about how to configure these bindings, see:
- https://developers.cloudflare.com/workers/cli-wrangler/configuration#keys
- https://developers.cloudflare.com/workers/learning/using-durable-objects#configuring-durable-object-bindings
Durable Objects
Define a Durable Object in Rust
To define a Durable Object using the worker
crate you need to implement the DurableObject
trait
on your own struct. Additionally, the #[durable_object]
attribute macro must be applied to both
your struct definition and the trait impl
block for it.
use worker::*;
#[durable_object]
pub struct Chatroom {
users: Vec<User>,
messages: Vec<Message>,
state: State,
env: Env, // access `Env` across requests, use inside `fetch`
}
#[durable_object]
impl DurableObject for Chatroom {
fn new(state: State, env: Env) -> Self {
Self {
users: vec![],
messages: vec![],
state: state,
env,
}
}
async fn fetch(&mut self, _req: Request) -> Result<Response> {
// do some work when a worker makes a request to this DO
Response::ok(&format!("{} active users.", self.users.len()))
}
}
You'll need to "migrate" your worker script when it's published so that it is aware of this new
Durable Object, and include a binding in your wrangler.toml
.
- Include the Durable Object binding type in you
wrangler.toml
file:
# ...
[durable_objects]
bindings = [
{ name = "CHATROOM", class_name = "Chatroom" } # the `class_name` uses the Rust struct identifier name
]
[[migrations]]
tag = "v1" # Should be unique for each entry
new_classes = ["Chatroom"] # Array of new classes
- For more information about migrating your Durable Object as it changes, see the docs here: https://developers.cloudflare.com/workers/learning/using-durable-objects#durable-object-migrations-in-wranglertoml
Queues
Enabling queues
As queues are in beta you need to enable the queue
feature flag.
Enable it by adding it to the worker dependency in your Cargo.toml
:
worker = {version = "...", features = ["queue"]}
Example worker consuming and producing messages:
use worker::*;
use serde::{Deserialize, Serialize};
#[derive(Serialize, Debug, Clone, Deserialize)]
pub struct MyType {
foo: String,
bar: u32,
}
// Consume messages from a queue
#[event(queue)]
pub async fn main(message_batch: MessageBatch<MyType>, env: Env, _ctx: Context) -> Result<()> {
// Get a queue with the binding 'my_queue'
let my_queue = env.queue("my_queue")?;
// Deserialize the message batch
let messages = message_batch.messages()?;
// Loop through the messages
for message in messages {
// Log the message and meta data
console_log!(
"Got message {:?}, with id {} and timestamp: {}",
message.body,
message.id,
message.timestamp.to_string()
);
// Send the message body to the other queue
my_queue.send(&message.body).await?;
}
// Retry all messages
message_batch.retry_all();
Ok(())
}
Testing with Miniflare
In order to test your Rust worker locally, the best approach is to use Miniflare. However, because Miniflare is a Node package, you will need to write your end-to-end tests in JavaScript or TypeScript in your project. The official documentation for writing tests using Miniflare is available here. This documentation being focused on JavaScript / TypeScript codebase, you will need to configure as follows to make it work with your Rust-based, WASM-generated worker:
devDependencies
Step 1: Add Wrangler and Miniflare to your npm install --save-dev wrangler miniflare
Step 2: Build your worker before running the tests
Make sure that your worker is built before running your tests by calling the following in your build chain:
wrangler deploy --dry-run
By default, this should build your worker under the ./build/
directory at the
root of your project.
Step 3: Configure your Miniflare instance in your JavaScript / TypeScript tests
To instantiate the Miniflare
testing instance in your tests, make sure to
configure its scriptPath
option to the relative path of where your JavaScript
worker entrypoint was generated, and its moduleRules
so that it is able to
resolve the *.wasm
file imported from that JavaScript worker:
// test.mjs
import assert from "node:assert";
import { Miniflare } from "miniflare";
const mf = new Miniflare({
scriptPath: "./build/worker/shim.mjs",
modules: true,
modulesRules: [
{ type: "CompiledWasm", include: ["**/*.wasm"], fallthrough: true }
]
});
const res = await mf.dispatchFetch("http://localhost");
assert(res.ok);
assert.strictEqual(await res.text(), "Hello, World!");
Notes and FAQ
It is exciting to see how much is possible with a framework like this, by expanding the options
developers have when building on top of the Workers platform. However, there is still much to be
done. Expect a few rough edges, some unimplemented APIs, and maybe a bug or two here and there. Itโs
worth calling out here that some things that may have worked in your Rust code might not work here -
itโs all WebAssembly at the end of the day, and if your code or third-party libraries donโt target
wasm32-unknown-unknown
, they canโt be used on Workers. Additionally, youโve got to leave your
threaded async runtimes at home; meaning no Tokio or async_std support. However, async/await syntax
is still available and supported out of the box when you use the worker
crate.
We fully intend to support this crate and continue to build out its missing features, but your help and feedback is a must. We donโt like to build in a vacuum, and weโre in an incredibly fortunate position to have brilliant customers like you who can help steer us towards an even better product.
So give it a try, leave some feedback, and star the repo to encourage us to dedicate more time and resources to this kind of project.
If this is interesting to you and you want to help out, weโd be happy to get outside contributors started. We know there are improvements to be made such as compatibility with popular Rust HTTP ecosystem types (we have an example conversion for Headers if you want to make one), implementing additional Web APIs, utility crates, and more. In fact, weโre always on the lookout for great engineers, and hiring for many open roles - please take a look.
FAQ
- Can I deploy a Worker that uses
tokio
orasync_std
runtimes?
- Currently no. All crates in your Worker project must compile to
wasm32-unknown-unknown
target, which is more limited in some ways than targets for x86 and ARM64.
- The
worker
crate doesn't have X! Why not?
- Most likely, it should, we just haven't had the time to fully implement it or add a library to wrap the FFI. Please let us know you need a feature by opening an issue.
- My bundle size exceeds Workers size limits, what do I do?
- We're working on solutions here, but in the meantime you'll need to minimize the number of crates
your code depends on, or strip as much from the
.wasm
binary as possible. Here are some extra steps you can try: https://rustwasm.github.io/book/reference/code-size.html#optimizing-builds-for-code-size
Contributing
Your feedback is welcome and appreciated! Please use the issue tracker to talk about potential implementations or make feature requests. If you're interested in making a PR, we suggest opening up an issue to talk about the change you'd like to make as early as possible.
Project Contents
- worker: the user-facing crate, with Rust-familiar abstractions over the Rust<->JS/WebAssembly interop via wrappers and convenience library over the FFI bindings.
- worker-sys: Rust extern "C" definitions for FFI compatibility with the Workers JS Runtime.
- worker-macros: exports
event
anddurable_object
macros for wrapping Rust entry point in afetch
method of an ES Module, and code generation to create and interact with Durable Objects. - worker-sandbox: a functioning Cloudflare Worker for testing features and ergonomics.
- worker-build: a cross-platform build command for
workers-rs
-based projects.