Every author of the free software obviously has rights to full control of the scope of their project. That being said, I regret that we have switched from good_job ( https://github.com/bensheldon/good_job ). The thing is - Basecamp is a MySQL shop and their policy is not to accept RDMS engine specific queries. You can see in their issues in Github that they try to stick "universal" SQL and are personally mostly conce…
I’m leaving Redis for SolidQueue
101–110 of 146 posts
Re: I’m leaving Redis for SolidQueue
#102Earlier quoted context omitted.
the problem i see here is that we end up treating the background job/task processor as part of the production system (e.g. the server that responds to requests, in the case of a web application) instead of a separate standalone thing. rails doesn’t make this distinction clear enough. it’s okay to back your tasks processor with a pg database (e.g. river[0]) but, as you indirectly pointed out, it shouldn’t be the same…
SolidQueue uses its own db configuration. > it shouldn’t be the same as the production database This is highly dependent on the application (scale, usage, phase of lifecycle, etc.)
To get the benefits of transactional enqueueing you generally need to commit the jobs transactionally with other database changes. https://riverqueue.com/docs/transactional-enqueueing
It does not scale forever, and as you grow in throughput and job table size you will probably need to do some tuning to keep things running smoothly. But after the amount of time I've spent in my career tracking down those numerous distributed systems issues arising from a non-transactional queue, I've come to believe this model is the right starting point for the vast majority of applications. That's especially true given how high the performance ceiling is on newer / more modern job queues and hardware relative to where things were 10+ years ago.
If you are lucky enough to grow into the range of many thousands of jobs per second then you can start thinking about putting in all that extra work to build a robust multi-datastore queueing system, or even just move specific high-volume jobs into a dedicated system. Most apps will never hit this point, but if you do you'll have deferred a ton of complexity and pain until it's truly justified.
Re: I’m leaving Redis for SolidQueue
#103Earlier quoted context omitted.
Funny you mention Oban, we do use it at work as well, and first thing Oban tells you is to either use Redis as a notifier or resort to polling for jobs and just not notify. https://hexdocs.pm/oban/scaling.html
I don't think that Oban is telling you to always use Redis. I think what they're saying is if you reach a certain scale where you're feeling the pain of the default notifier you could use Oban.Notifiers.PG as long as your application is running as a cluster. If you don't run it as a cluster, then you might have to reach for Redis. But then it's more about not running a cluster.
You started your comment with that
Re: I’m leaving Redis for SolidQueue
#104Earlier quoted context omitted.
It's reasonable for basecamp, but the complaint of GP is that basecamp controls what is the Rails standard/default solution intended to be useful for multiple rdbms, without being willing to put rdbms-specific logic in rdbms-specific adapters.
Ooh. That's a dealbreaker, ladies!
Re: I’m leaving Redis for SolidQueue
#105For people that does not think it scales. A similar implementation in Elixir is Oban. Their benchmark shows a million jobs per minute on a single node (and I am sure it could be increased further with more optimizations). I bet 99,99999% of apps have less than a million background jobs per minute. https://oban.pro/articles/one-million-jobs-a-minute-with-oba...
This benchmark is probably as far removed from how applications use task queues as it could possibly be. The headline is "1 million jobs per minute", which is true. However... - this is achieved by queuing batches of 5000 jobs , so on the queue side this is actually not 1 million TPS, but rather 200 TPS. I've never seen any significant batching of background job creation. - the dispatch is also batched to a few hundr…
Databases are pretty good at quickly adding and removing lots of rows. But even if you can keep up with churning through 1000 rows/second, with batching or whatever, you still need to replicate 1000 rows/second do your failover nodes.
That’s the big win for queues over a relational db here: queues have ways to efficiently replicate without copying the entire work queue across instances.
Re: I’m leaving Redis for SolidQueue
#106For people that does not think it scales. A similar implementation in Elixir is Oban. Their benchmark shows a million jobs per minute on a single node (and I am sure it could be increased further with more optimizations). I bet 99,99999% of apps have less than a million background jobs per minute. https://oban.pro/articles/one-million-jobs-a-minute-with-oba...
Funny you mention Oban, we do use it at work as well, and first thing Oban tells you is to either use Redis as a notifier or resort to polling for jobs and just not notify. https://hexdocs.pm/oban/scaling.html
None of that means Oban or similar queues don't/can't scale—it just means a high volume of NOTIFY doesn't scale, hence the alternative notifiers and the fact that most of its job processing doesn't depend on notifications at all.
There are other reasons Oban recommends a different notifier per the doc link above:
> That keeps notifications out of the db, reduces total queries, and allows larger messages, with the tradeoff that notifications from within a database transaction may be sent even if the transaction is rolled back
Re: I’m leaving Redis for SolidQueue
#107Every author of the free software obviously has rights to full control of the scope of their project. That being said, I regret that we have switched from good_job ( https://github.com/bensheldon/good_job ). The thing is - Basecamp is a MySQL shop and their policy is not to accept RDMS engine specific queries. You can see in their issues in Github that they try to stick "universal" SQL and are personally mostly conce…
I've also run into issues where a db connection pool is filled up and solid queue silently fails. No error or logs, just stops polling forever until manual restart. Far from ideal.
But, I can live with it. I am going for minimal maintenance, and the ability to run solid queue under puma inside rails on cloud run is just so easy. Having ~3 solid queue related issues a year is acceptable for my use case, but that doesn't mean it will be ok for others.
Re: I’m leaving Redis for SolidQueue
#108Every author of the free software obviously has rights to full control of the scope of their project. That being said, I regret that we have switched from good_job ( https://github.com/bensheldon/good_job ). The thing is - Basecamp is a MySQL shop and their policy is not to accept RDMS engine specific queries. You can see in their issues in Github that they try to stick "universal" SQL and are personally mostly conce…
Re: I’m leaving Redis for SolidQueue
#109Exactly what https://www.amazingcto.com/postgres-for-everything/ says; keep it simpel and use PostgreSQL.
Re: I’m leaving Redis for SolidQueue
#110Redis is fundamentally the wrong storage system for a job queue when you have an RDBMS handy. This is not new information. You still might want to split the job queue onto its own DB server when things start getting busy, though. For caching, though, I wouldn’t drop Redis so fast. As a in-memory cache, the ops overhead of running Redis is a lot lower. You can even ignore HA for most use cases. Source: I helped design…
> Redis is fundamentally the wrong storage system for a job queue when you have an RDBMS handy One could go one step further and say an RDBMS is fundamentally the wrong storage system for a job queue when you have a persistent, purpose-built message queue handy. Honestly, for most people, I'd recommend they just use their cloud provider's native message queue offering. On AWS, SQS is cheap, reliable, easy to start wi…