good_job VS neoq

This is the most direct competitor of good_job in my opinion.

Once we are done with default gems, should we look into something we usually use? That's jwt because we need session tokens for our API. Next comes our one and only sidekiq. For a long period of time it was the best in town solution for background jobs. Now we could also consider solid_queue or good_job. In development and testing groups we need rspec-rails, factory_bot_rails and ffaker. Dealing with money? Start doing it properly from the beginning! Do not forget to install money-rails. Once everything is added to the Gemfile do not forget to trigger bundle install.

In the world of Ruby, GoodJob [0] has been doing a _good job_ so far.

[0] - https://github.com/bensheldon/good_job

For Rails apps, you can do this using the ActiveJob interface via

https://github.com/bensheldon/good_job

Had it in production for about a quarter and it’s worked well.

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...

The suggestion from /u/tofus is a good one. If you are already using redis as your ActionCable adapter I would use sidekiq. If not and you're using postgres I would consider https://github.com/bensheldon/good_job

Probably worth mentioning that aside from delayed_job there are at least two more modern alternatives backed by the DB: Que and good_job.

Good article. Sidekiq is a good, well respected too. However if you are starting out I would recommend not using it, and instead choosing a DB based queue system. We have great success with que, but there are others like good_job.

Sidekiq Pro is great, we're paying for it! 10k a year I think.

But for people who are interested in alternatives, I'd also suggest Good Job (runs on Postgresql).

https://github.com/bensheldon/good_job

I'm the GoodJob author. Here's the class that is responsible for implementing Postgres's LISTEN/NOTIFY functionality in GoodJob:

https://github.com/bensheldon/good_job/blob/10e9d9b714a668dc...

That's heavily inspired by Rail's Action Cable (websockets) Adapter for Postgres, which is a bit simpler and easier to understand:

https://github.com/rails/rails/blob/be287ac0d5000e667510faba...

Briefly, it spins up a background thread with a dedicated database connection and doings a blocking Postgres LISTEN query returns results, and then it forwards the result to other subscribing objects.

I just want to commend OP - if they’re here - for choosing an int64 for job IDs, and MD5 for hashing the payload in Neoq, the job library linked [0] from the article.

Especially given the emphasis on YAGNI, you don’t need a UUID primary key, and all of its problems they bring for B+trees (that thing RDBMS is built on), nor do you need the collision resistance of SHA256 - the odds of you creating a dupe job hash with MD5 are vanishingly small.

As to the actual topic, it’s fine IFF you carefully monitor for accumulating dead tuples, and adjust auto-vacuum for that table as necessary. While not something you’d run into at the start, at a modest scale you may start to see issues. May. You may also opt to switch to Redis or something else before that point anyway.

[0]: https://github.com/acaloiaro/neoq

Neoq (https://github.com/acaloiaro/neoq) is a background job processor for Go.

Yes, another one. It began from my desire to have a robust Postgres-backed job processor. What I quickly realized was that the interface in front of the queue was what was really important. This allowed me to add both in-memory and Redis (provided by asynq) backends behind the same interface. Which allows dependent projects to switch between different backends in different settings/durable requirements. E.g. in-memory for testing/development, postgres when you're not running Google-scale jobs, and Redis for all the obvious use cases for a Redis-backed queue.

This allows me to swap out job queue backends without changing a line of job processor code.

I'm familiar with the theory that one shouldn't implement queues on Postgres, and to a large extent, I disagree with those theories. I'm confident you can point out a scenario in which one shouldn't, and I contend that those scenarios are the exception rather than the rule.

I created a background processor called Neoq (https://github.com/acaloiaro/neoq) that is likely to interest you.

This is exactly the thesis behind neoq: https://github.com/acaloiaro/neoq