worker
arniesmtpbufferserver | worker | |
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6 | 19 | |
13 | 1,645 | |
- | 1.2% | |
2.4 | 9.7 | |
7 months ago | 11 days ago | |
Python | TypeScript | |
MIT License | MIT License |
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arniesmtpbufferserver
- Arnie – SMTP buffer server in – 100 lines of async Python
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Choose Postgres Queue Technology
My guess is that many people are implementing queuing mechanisms just for sending email.
The Linux file system makes a perfectly good basis for a message queue since file moves are atomic.
You can see how this works in Arnie SMTP buffer server, a super simple queue just for emails, no database at all, just the file system.
https://github.com/bootrino/arniesmtpbufferserver
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Things Unix can do atomically (2010)
A practical applications of atomic mv is building simple file based queuing mechanisms.
For example I wrote this SMTP buffer server which moves things to different directories as a simple form of message queue.
https://github.com/bootrino/arniesmtpbufferserver
Caveat I think this needs examination from the perspective of fsync - i.e. I suspect the code should be fsyncing at certain points but not sure.
I actually wrote (in Rust) a simple file based message queue using atomic mv. It instantly maxed out the SSD performance at about 30,000 messages/second.
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Procrastinate: PostgreSQL-Based Task Queue for Python
Yeah I was using Celery for sending emails - nothing else.
And it was such a nightmare to configure and debug and such overkill for email buffering that in a fit of frustration I wrote the Arnie SMTP buffering server and ditched Celery.
https://github.com/bootrino/arniesmtpbufferserver
It's only 100 lines of code:
https://github.com/bootrino/arniesmtpbufferserver/blob/maste...
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Show HN: Arnie SMTP buffer server in 100 lines of async Python
Here's the 100 lines of code:
https://github.com/bootrino/arniesmtpbufferserver/blob/master/arniesmtpbufferserver.py
Here's the github repo:
https://github.com/bootrino/arniesmtpbufferserver
It's MIT licensed.
Arnie is a server that has the single purpose of buffering outbound SMTP emails.
A typical web SAAS needs to send emails such as signup/signin/forgot password etc.
The web page code itself should not directly write this to an SMTP server. Instead they should be decoupled. There's a few reasons for this. One is, if there is an error in sending the email, then the whole thing simply falls over if that send was executed by the web page code - there's no chance to resend because the web request has completed. Also, execution of an SMTP request by a web page slows the response time down of that page, whilst the code goes through the process of connecting to the server and sending the email. So when you send SMTP email from your web application, the most performant and safest way to do it is to buffer them for sending. The buffering server will then queue them and send them and handle things like retries if the target SMTP server is down or throttled.
There's a few ways to solve this problem - you can set up a local email server and configure it for relaying. Or in the Python world people often use Celery. Complexity is the down side of using either Celery or an email server configured for relaying - both of these solutions have many more features than needed and can be complex to configure/run/troubleshoot.
Arnie is intended for small scale usage - for example a typical web server for a simple SAAS application. Large scale email traffic would require parallel sends to the SMTP server.
Arnie sequentially sends emails - it does not attempt to send email to the SMTP server in parallel. It probably could do fairly easily by spawning email send tasks, but SMTP parallelisation was not the goal in writing Arnie.
- Arnie - SMTP buffer server in ~ 100 lines of async Python
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)
What are some alternatives?
starqueue
pg-boss - Queueing jobs in Node.js using PostgreSQL like a boss
kubeblocks - KubeBlocks is an open-source control plane that runs and manages databases, message queues and other data infrastructure on K8s.
dramatiq - A fast and reliable background task processing library for Python 3.
pgjobq - Atomic low latency job queues running on Postgres
good_job - Multithreaded, Postgres-based, Active Job backend for Ruby on Rails.
start - Kyoto starter project
r2dbc-postgresql - Postgresql R2DBC Driver
BeanstalkD - Beanstalk is a simple, fast work queue.
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
walex - Postgres change events (CDC) in Elixir
benzene - ⌬ Fast, minimal, agnostic GraphQL Servers ⌬