litequeue VS Sidekiq

To make sure you that the message you are trying to retrieve hasn't been locked already by another worker.

[0]: https://github.com/litements/litequeue/

[1]: https://github.com/litements/litequeue/blob/3fece7aa9e9a31e4...

SQLite is missing some features like `SELECT FOR UPDATE`, but you can work around some issues with a few extra queries. I wrote litequeue[0] with this specific purpose. I haven't been able to use it a lot, so I don't have real-world numbers of how it scales, but the scaling limits depend on how fast you can insert into the database.

[0]: https://github.com/litements/litequeue

The `RETURNING` is so awesome! I'm implementing a set of data structures on top of SQLite, one of them is a queue[0], and I had to do a transaction to lock a message and then return it, but this makes it easier.

There's one little issue I keep finding with SQLite, and it's that most virtual servers / VM images ship with version 3.22.0, and upgrading often means building from source.

In any case, SQLite is absolutely wonderful. My favorite way of building products is having a folder for all the DBs that I mount to docker-compose. This release makes it even better.

[0] https://github.com/litements/litequeue

Hi there! I want to show off a little feature I made using hanami, htmx and a little bit of redis + sidekiq.

I'd say Sidekiq is the top competitor here.

There's something wrong at Redislabs, it took them over a year to get RESP3 rolled out into their hosted service, you'd expect a rollout of that to be a bit quicker when they're the owner of Redis.

It affected us when upgrading Sidekiq to version 7, which dropped support for older Redis, and their Envoy proxy setup didn't support HELLO and RESP3: https://github.com/sidekiq/sidekiq/issues/5594

That depends on how the `maxmemory-policy` is configured, and queue systems based on Redis will tell you not to allow eviction. https://github.com/sidekiq/sidekiq/wiki/Using-Redis#memory (it even logs a warnings if it detects your Redis is misconfigured IIRC).

Sidekiq https://sidekiq.org/: This one started as an open source project, once it got enough traction, the developer made a premium version of it, and makes money by selling licenses to businesses.

Sidekiq will drop in-progress jobs when a worker crashes. Sidekiq Pro can recover those jobs but with a large delay. Sidekiq is excellent overall but it’s not suitable for processing critical jobs with a low latency guarantee.

https://github.com/sidekiq/sidekiq/wiki/Reliability

> I'm not sure feature withholding has traditionally worked out well in the developer space.

I think it's worked out well for Sidekiq (https://sidekiq.org). I really like their model of layering valuable features between the OSS / Pro / Enterprise licenses.

I was studying Sidekiq's page on rate limiters. The first type of rate limiting mentioned is the concurrent limiter: only n tasks are allowed to run at any point in time. Note that this is independent of time units (e.g. per second), or how long they take to run. The only limitation is the number of concurrent tasks/requests.