2 unstable releases
0.2.0 | Mar 1, 2024 |
---|---|
0.1.0 | May 25, 2023 |
#550 in Encoding
120 downloads per month
94KB
2K
SLoC
Omniqueue
Omniqueue is an abstraction layer over queue backends for Rust. It includes support for RabbitMQ, Redis streams, and SQS.
Omniqueue provides a high level interface which allows sending and receiving raw byte arrays, any
serde
Deserialize
and Serialize
implementors via JSON encoded byte arrays, or any arbitrary
types for which you have provided an encoding and/or decoding function.
It is designed to be flexible and to be able to adapt to fit your existing queue configurations, but with a set of defaults that makes it simple to start sending and receiving quickly.
How to use Omniqueue
While the exact configuration will depend on the backend used, usage is roughly as follows.
-
Add
omniqueue
to yourCargo.toml
. All backends are enabled by default including RabbitMQ, Redis (via their stream type), SQS, and an in-memory queue based off oftokio
's mpsc channel which is perfect for testing.If you only need some backends, then simply disable the default features, and enable any backends that you require.
-
Construct and use your queue.
The exact configuration type used will depend on your backend, but it's as simple as:
let cfg = SqsConfig { queue_dsn: "http://localhost:9324/queue/queue_name".to_owned(), override_endpoint: true, }; let (producer, mut consumer) = SqsBackend::builder(cfg).build_pair().await?; producer.send_serde_json(&ExampleType::default()).await?; let delivery = c.receive().await?; assert_eq!( delivery.payload_serde_json::<ExampleType>().await?, Some(ExampleType::default()) ); delivery.ack().await?;
The producer and consumers returned implement the
QueueProducer
andQueueConsumer
traits respectively. This means you can make functions generic over any queue backend. Alternatively, if you need dynamic dispatch, it's as simple as one extra line ih the builder:let cfg = SqsConfig { queue_dsn: "http://localhost:9324/queue/queue_name".to_owned(), override_endpoint: true, }; let (producer, mut consumer) = SqsBackend::builder(cfg) .make_dynamic() .build_pair() .await?;
Encoders and Decoders
Part of the design of this crate was a clear separation of responsibility. The users of the queue generically should never have to concern themselves with how any given item is represented within the queue backend. Instead, they should be allowed to think only in Rust types.
On the other hand, the users who define which backend to use should be the only ones concerned with getting the queue's internal representations to the Rust types.
Enter CustomEncoder
s and CustomDecoder
s: these are a simple as closures or function pointers
that convert from regular Rust types to the type expected by the queue backend's input or output.
They are defined and used as follows:
#[derive(Debug, PartialEq)]
struct ExampleType {
field: u8,
}
let (p, mut c) = RabbitMqBackend::builder(cfg)
// RabbitMQ's internal representation is an arbitrary byte array.
.with_encoder(|et: &ExampleType| -> omniqueue::Result<Vec<u8>> {
Ok(vec![et.field])
})
.with_decoder(|v: &Vec<u8>| -> omniqueue::Result<ExampleType> {
Ok(ExampleType {
field: *v.first().unwrap_or(&0),
})
})
.build_pair()
.await?;
let payload = ExampleType { field: 2 };
p.send_custom(&payload).await?;
let delivery = c.receive().await?;
assert_eq!(d.payload_custom::<ExampleType>()?, Some(payload))
delivery.ack().await?;
These functions are called automatically assuming you have an encoder and/or decoder for the right type. This makes adapting the crate to an existing queue whose internal data layout doesn't match the defaults to a T as simple as possible.
Dependencies
~7–24MB
~365K SLoC