worker
oban
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worker | oban | |
---|---|---|
19 | 27 | |
1,641 | 3,043 | |
3.1% | - | |
9.7 | 9.3 | |
17 days ago | 2 days ago | |
TypeScript | Elixir | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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worker
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Postgres as Queue
Big fan of Graphile Worker to handle this job. https://github.com/graphile/worker
- GitHub - graphile/worker: High performance Node.js/PostgreSQL job queue (also suitable for getting jobs generated by PostgreSQL triggers/functions out into a different work queue)
- High performance Node.js/PostgreSQL job queue
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Choose Postgres Queue Technology
I do enjoy using https://github.com/graphile/worker for my postgresql queuing needs. Very scalable, the next release 0.14 even more so, and easy to use.
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PGMQ: Simple Message Queues Built on Postgres
On the same subject (job queue based on PostgreSQL), I'm successfully using the https://github.com/graphile/worker/ (NodeJS) project in production.
Jobs are written in Javascript.
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How Trigger.dev makes serverless background jobs possible
Postgres is used both as a store of state for Runs/Tasks and for the Job queue (we use Graphile Worker).
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Intro to PostGraphile V5 (Part 2): Plugins and Presets
Having now built V5's unified plugins and presets system, I'm extremely pleased with it! I'm so happy, in fact, that I'm looking forward to integrating it with Graphile's other tools such as Graphile Worker (our Postgres-backed job queue) and Graphile Migrate (a lightweight SQL-based migration framework that focuses on DX) once V5 is out and stable.
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SQL Maxis: Why We Ditched RabbitMQ and Replaced It with a Postgres Queue
Another good library for this is Graphile Worker:
https://github.com/graphile/worker
Uses both listen notify and advisory locks so it is using all the right features. And you can enqueue a job from sql and plpgsql triggers. Nice!
Worker is in Node js.
https://github.com/graphile/worker
- whats the difference bewteen SQL Qeues and server queues ?
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How to schedule tasks in a Node.js app 🕙
See also graphile-worker: https://github.com/graphile/worker (lower latency than pg-boss because it uses LISTEN/NOTIFY)
oban
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How to Use Flume in your Elixir Application
Oban, backed by PostgreSQL or SQLite, also provides a queue-based job processing system. Exq, on the other hand, is backed by Redis. It provides features similar to Flume, but without built-in rate limiting and batch processing capabilities.
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Postgres as Queue
In Elixir land Oban[0] uses Postgres as queue and seems to work quite well.
[0] - https://github.com/sorentwo/oban
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Zero Downtime Postgres Upgrades
I hear you on that, and can say that Postgres is incredibly capable at going beyond typical relational database workloads. One example are durable queues that are transactionally consistent with the rest of the database play a unique role in our architecture that would otherwise require more ceremony. More details here: https://getoban.pro
We are also working on shifting some workloads off of Postgres on to more appropriate systems as we scale, like logging. But we intentionally chose to minimize dependencies by pushing Postgres further to move faster, with migration plans ready as we continue to reach new levels of scale (e.g. using a dedicated log storage solution like elastic search or clickhouse).
- Deno Cron
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Switching to Elixir
You can actually have "background jobs" in very different ways in Elixir.
> I want background work to live on different compute capacity than http requests, both because they have very different resources usage
In Elixir, because of the way the BEAM works (the unit of parallelism is much cheaper and consume a low amount of memory), "incoming http requests" and related "workers" are not as expensive (a lot less actually) compared to other stacks (for instance Ruby and Python), where it is quite critical to release "http workers" and not hold the connection (which is what lead to the creation of background job tools like Resque, DelayedJob, Sidekiq, Celery...).
This means that you can actually hold incoming HTTP connections a lot longer without troubles.
A consequence of this is that implementing "reverse proxies", or anything calling third party servers _right in the middle_ of your own HTTP call, is usually perfectly acceptable (something I've done more than a couple of times, the latest one powering the reverse proxy behind https://transport.data.gouv.fr - code available at https://github.com/etalab/transport-site/tree/master/apps/un...).
As a consequence, what would be a bad pattern in Python or Ruby (holding the incoming HTTP connection) is not a problem with Elixir.
> because I want to have state or queues in front of background work so there's a well-defined process for retry, error handling, and back-pressure.
Unless you deal with immediate stuff like reverse proxying or cheap "one off async tasks" (like recording a metric), there also are solutions to have more "stateful" background works in Elixir, too.
A popular background job queue is https://github.com/sorentwo/oban (roughly similar to Sidekiq at al), which uses Postgres.
It handles retries, errors etc.
But it's not the only solution, as you have other tools dedicated to processing, such as Broadway (https://github.com/dashbitco/broadway), which handles back-pressure, fault-tolerance, batching etc natively.
You also have more simple options, such as flow (https://github.com/dashbitco/flow), gen_stage (https://github.com/elixir-lang/gen_stage), Task.async_stream (https://hexdocs.pm/elixir/1.12/Task.html#async_stream/5) etc.
It allows to use the "right tool for the job" quite easily.
It is also interesting to note there is no need to "go evented" if you need to fetch data from multiple HTTP servers: it can happen in the exact same process (even: in a background task attached to your HTTP server), as done here https://transport.data.gouv.fr/explore (if you zoom you will see vehicle moving in realtime, and ~80 data sources are being polled every 10 seconds & broadcasted to the visitors via pubsub & websockets).
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Show HN: A simple API/CLI for scheduling HTTP requests
Hi HN!
This is something I've been tinkering on for the past couple months. It's basically just an API/CLI for scheduling delayed or recurring jobs as HTTP requests.
I initially built it as a personal tool to save myself a bit of time on little side projects where I've needed scheduled/recurring alerts, but decided it could be a good opportunity to practice building out a nice landing page [0] and documentation [1]. And who knows, maybe someone else will find it useful ¯\_(ツ)_/¯
The tool relies heavily on Elixir's Oban [2] library for managing jobs, and Mintlify [3] for documentation. I also shamelessly stole most of the frontend design from Resend [4] because I'm a fan of the aesthetic and thought it would be good for my design chops to use their design as a guide. I also discovered Radix [5] UI while working on this, which ended up being immensely helpful for moving quickly on the frontend.
Anyways, I almost certainly spent a bit too much time on small UX details that are most likely utterly inconsequential, but it was a fun exercise in polish :)
All feedback is welcome!
[0] https://www.booper.dev/
[1] https://docs.booper.dev/
[2] https://github.com/sorentwo/oban
[3] https://mintlify.com/
[4] https://resend.com/
[5] https://www.radix-ui.com/
- Choose Postgres Queue Technology
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Pg_later: Asynchronous Queries for Postgres
Idk about pgagent but any table is a resilient queue with the multiple locks available in pg along with some SELECT pg_advisory_lock or SELECT FOR UPDATE queries, and/or LISTEN/NOTIFY.
Several bg job libs are built around native locking functionality
> Relies upon Postgres integrity, session-level Advisory Locks to provide run-once safety and stay within the limits of schema.rb, and LISTEN/NOTIFY to reduce queuing latency.
https://github.com/bensheldon/good_job
> |> lock("FOR UPDATE SKIP LOCKED")
https://github.com/sorentwo/oban/blob/8acfe4dcfb3e55bbf233aa...
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Keep the Monolith, but Split the Workloads
> Bad code in a specific part of the codebase bringing down the whole app, as in our November incident.
This is a non-issue if you're using a Elixir/Erlang monolith given its fault tolerant nature.
The noisy neighbour issue (resource hogging) is still something you need to manage though. If you use something like Oban[1] (for background job queues and cron jobs), you can set both local and global limits. Local being the current node, and global the cluster.
Operating in a shared cluster (vs split workload deployments) give you the benefit of being much more efficient with your hardware. I've heard many stories of massive infra savings due to moving to an Elixir/Erlang system.
1. https://github.com/sorentwo/oban
- Library for reliably running jobs
What are some alternatives?
pg-boss - Queueing jobs in Node.js using PostgreSQL like a boss
broadway - Concurrent and multi-stage data ingestion and data processing with Elixir
dramatiq - A fast and reliable background task processing library for Python 3.
exq - Job processing library for Elixir - compatible with Resque / Sidekiq
good_job - Multithreaded, Postgres-based, Active Job backend for Ruby on Rails.
Rihanna - Rihanna is a high performance postgres-backed job queue for Elixir
start - Kyoto starter project
kafka_ex - Kafka client library for Elixir
r2dbc-postgresql - Postgresql R2DBC Driver
verk - A job processing system that just verks! 🧛
BeanstalkD - Beanstalk is a simple, fast work queue.
honeydew - Job Queue for Elixir. Clustered or Local. Straight BEAM. Optional Ecto. 💪🍈