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An extremely simple in-memory job queue implementation.

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cqueue

An extremely simple in-memory job queue implementation.

Supported transports: HTTP
Supported storages: In-Memory

Getting started

  • Install Rust toolchain
  • Clone cqueue repository git clone git@github.com:Biacode/cqueue.git
  • Execute cargo run command from within the git repo cd cqueue && cargo run

Using docker-compose

Start your application by running

docker compose up --build

Your application will be available at http://localhost:3000

You may also customize your container using environment variables.

Configuring the server

You have two options to configure your server, using cli args and env vars.

Using CLI

Use cargo run -- --help to see all available options

An example command might look like

cargo run -- --addr localhost --port 3000 --log-level info

Output

2024-05-14T11:33:31.678400Z  INFO cfqueue: CFQueue is up and running 🎉🎉🎉🚀🚀🚀
2024-05-14T11:33:31.678429Z  INFO cfqueue: Listening on [::1]:3000

Using ENV Vars

Available env vars:

  • CFQUEUE_ADDR - Server address.
  • CFQUEUE_PORT - Server port.
  • CFQUEUE_LOG_LEVEL - Root logging level.

Known limitations

At the moment the queue supports only in-memory store and HTTP as transport.

As there is only in-memory store, your ID sequence will reset each time your start the app.

The app doesn't support deployments in replicated mode. Each server instance will maintain its own ID sequence. To solve this we may consider introducing "master" server using simple consensus algorithm like Raft (No! thank you! not Paxos...) or Bully.

The consumer (dequeue) acts as a basic request/response. We might consider switching to more "interactive" mode. E.g, using WebSockets, SSE, Long-Pooling, etc.

TODO;

  • Implement in-memory queue store
  • Add HTTP server capabilities
  • Add docker support
  • Observability/Monitoring solutions
  • OpenAPI/Swagger support?
  • Implement CI/CD pipelines using GitHub actions
  • Add command line arg parser to configure app properties. E.g, server port
  • The app should be configurable with env variables as well (perhaps with higher priority?)
  • Improve documentation and add examples (partially done)
  • Changelog generator?
  • Auth support
  • Add docker publish to GitHub Actions

Developer notes

  • I know the requirement says consumer provides ID in headers, but I thought it isn't much fun. Also, the consumer may not know any ID, as we return ID only to producer.
  • As this is an in-memory store and everything will purged after restart, I don't really care about keeping the ID sequence.
  • At first, I was keeping AtomicUsize for ID counter, then I changed it to actual size of the jobs map.
  • The fun part is, we may discuss the "ID thing" for quite some time. Sharding/Partitioning, Replication, LB? cool stuff!!
  • To save some time I borrowed an example server impl from Axum examples
  • To save some time I decided not to break modules into fine-grained modules or even submodules. This way we might gain some benefits like restricting dependencies for each module, more encapsulation and fluent API, better maintainability, etc.
  • Ideally, the Web layer should have been better decoupled from persistence/repository layer. E.g, separating the structures by adding DTO types for representation layer, introducing some CQRS concepts, etc.

API

The queue exposes a REST API that producers and consumers perform HTTP requests against in JSON.

Supported operations:

/jobs/enqueue

Add a job to the queue. The job definition can be found below. Returns the ID of the job

cURL

curl --location --request PUT 'localhost:3000/jobs/enqueue' \
--header 'Content-Type: application/json' \
--data '{
    "Type": "TIME_CRITICAL"
}'

/jobs/dequeue

Returns a job from the queue Jobs are considered available for Dequeue if the job has not been concluded and has not dequeued already

cURL

curl --location --request POST 'localhost:3000/jobs/dequeue' \
--header 'Content-Type: application/json'

/jobs/{job_id}/conclude

Provided an input of a job ID, finish execution on the job and consider it done

cURL

curl --location --request POST 'localhost:3000/jobs/conclude/1' \
--header 'Content-Type: application/json'

/jobs/{job_id}

Given an input of a job ID, get information about a job tracked by the queue

The lifecycle of requests made for a job might look like this:

cURL

curl --location 'localhost:3000/jobs/1' \
--header 'Content-Type: application/json'

/jobs/stats

Collect the current queue and job stats.

cURL

curl --location 'localhost:3000/jobs/stats' \
--header 'Content-Type: application/json'

/jobs/enqueue -> /jobs/dequeue -> /jobs/{job_id}/conclude

Git cliff

cargo install git-cliff

Generate a changelog

git cliff -o --tag <your_tag> CHANGELOG.md

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An extremely simple in-memory job queue implementation.

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