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In the spirit of openness, this project follows the Forking Flow, a derivative of the Gitflow model. We use Pull Requests to develop conversations around ideas, and turn ideas into actions.
Some PR Basics
Anyone can submit a Pull Request with changes they'd like to see made.
Pull Requests should attempt to solve a single [1], clearly defined problem [2].
Everyone should submit Pull Requests early (within the first few commits), so everyone on the team is aware of the direction you're taking.
pre-push script: Protects some branches from destructive actions.
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When the directory structure of your Node.js application (not library!) has some depth, you end up with a lot of annoying relative paths in your require calls like:
Don't solve the problem given (as it's stated), figure out what the real underlying problem is.
To understand design, you have to be a good observer and question things. Travel with a camera and take photos. Don't use flash, use natural lighting when possible.
Affordances are the relationships (read: possible actions) between an object and an entity (most often a person). For example, a chair affords sitting for a human. Affordances enable interactions between entities and objects (similarly, anti-affordances prevent or reduce interactions). The presence of an affordance is determined by the properties of the object and of the abilities of the entity who's interacting with the object.
Signifiers are signals, communication devices. These signs tell you about the possible actions; what to do, and where to do it. Signifiers are often visible, but invisible (secret) signifiers do exist, like clicking a YT video to play
The example problems have gone missing from the Io language website, so here’s a backup.
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Turning PostgreSQL into a queue serving 10,000 jobs per second
Turning PostgreSQL into a queue serving 10,000 jobs per second
RDBMS-based job queues have been criticized recently for being unable to handle heavy loads. And they deserve it, to some extent, because the queries used to safely lock a job have been pretty hairy. SELECT FOR UPDATE followed by an UPDATE works fine at first, but then you add more workers, and each is trying to SELECT FOR UPDATE the same row (and maybe throwing NOWAIT in there, then catching the errors and retrying), and things slow down.
On top of that, they have to actually update the row to mark it as locked, so the rest of your workers are sitting there waiting while one of them propagates its lock to disk (and the disks of however many servers you're replicating to). QueueClassic got some mileage out of the novel idea of randomly picking a row near the front of the queue to lock, but I can't still seem to get more than an an extra few hundred jobs per second out of it under heavy load.
This is a very simple git workflow. It (and variants) is in use by many people.
I settled on it after using it very effectively at Athena.
GitHub does something similar; Zach Holman mentioned it
in this talk.
Update: Woah, thanks for all the attention. Didn't expect this simple rant
to get popular.