BeanstalkD
Sequel
BeanstalkD | Sequel | |
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14 | 37 | |
6,490 | 4,913 | |
0.3% | - | |
0.0 | 8.9 | |
about 1 month ago | 10 days ago | |
C | Ruby | |
GNU General Public License v3.0 or later | MIT License |
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BeanstalkD
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Ruby 3.3
There's beanstalkd, it has a few Python libraries and it works out of the box with ActiveJob via Backburner.
https://beanstalkd.github.io/
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A Developer's Journal: Simplifying the Twelve-Factor App
Messaging/Queueing Systems (Amazon SQS, RabbitMQ, Beanstalkd)
- Load Balancing
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SQL Maxis: Why We Ditched RabbitMQ and Replaced It with a Postgres Queue
Not when a queue is involved. IME trying to replicate something like beanstalkd (https://beanstalkd.github.io/) in postgres is asking for trouble for anything but trivial workloads.
If you're measuring throughput in jobs/s, use a real work queue.
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Christmas giveaway: 10 copies of my book Domain-driven Design with Golang book, also AMA
Before Kafka was a standard, I created a go library for beanstalkd that act like an RPC.
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PHP parallel processing idea
Then there are queue libraries like beanstalkd, RabbitMQ or built-in features like queues from Laravel. These will probably get you quicker to your goal then trying the process managing route.
- How to do distributed cronjobs with worker queues?
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Write Your Own Task Queue
The only task queue I loved was beanstalkd -- it's beautifully written and highly performant. Starting it takes seconds and it's been running for a decade:
https://beanstalkd.github.io/
- Golang task queue
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What are some popular background job processing frameworks in the Rust ecosystem?
It's not rust (it's C), but beanstalkd is a pretty incredible work queue that processes millions of jobs a day (10K+/s at peak) for my company. I know there are a few rust drivers available.
Sequel
- Sequel 5.80.0 Released
- Ruby Sequel Google group banned
- Ask HN: What is your go-to stack for the web?
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Ruby 3.3
Some of the most enlightening books I’ve read when I was first learning Ruby were Text Processing in Ruby, and Building Awesome Command Line Apps in Ruby 2. They each reveal certain features and perspectives that work towards this end, such as text parsing moves, Ruby flags to help you build shell 1-liners you can pipe against, and features with stdio beyond just printing to stdout.
Then add in something like Pry or Irb, where you are able to build castles in your sandbox.
Most of my data exploration happens in Pry.
A final book I’ll toss out is Data Science at the Command Line, in particular the first 40 or so pages. They highlight the amount of tooling that exists that’s just python shell scripts posing as bins. (Ruby of course has every bit of the same potential.) I had always been aware of this, but I found the way it was presented to be very inspirational, and largely transformed how I work with data.
A good practical example I use regularly is: I have a project set up that keeps connection strings for ten or so SQL Server DBs that I regularly interact with. I have constants defined to expedite connections. The [Sequel library](https://sequel.jeremyevans.net/) is absolutely delightful to use. I have a `bin/console` file that sets up a pry session hooking up the default environment and tools I like to work with. Now it’s very easy to find tables with certain names, schemas, containing certain data, certain sprocs, mass update definitions across our entire system.
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Python: Just Write SQL
Thea answer to your prayers already exists: http://sequel.jeremyevans.net/.
By far the best database toolkit (ORM, query builder, migration engine) I have seen for any programming language.
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Is ORM still an anti-pattern?
Ruby sequel (http://sequel.jeremyevans.net/) is the only library where you can combine classic ORM Model bases usage, with a more raw query builder "just get me all the data into plain objects". You'll never need anything again in your career life.
- Ask HN: What are some of the most elegant codebases in your favorite language?
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Sketch of a Post-ORM
If you want a db tool which can be an ORM for your app, and drop down to a lower level dsl, while targeting specific features of the databases it supports, + having a "composable superset for building queries", there's [ruby sequel](http://sequel.jeremyevans.net/), which is the best tool of the kind you'll get for any proglang. Everything the author wants, minus the typrchecking perhaps, which is IMO shooting at the stars.
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There's SQL in my Ruby
I love the Sequel library from Jeremy Evans (so much better than Rails' AREL). I've used it as my ORM-of-choice since 2008. When leveraging Sequel I almost always use the DSL, but there are times that I want to use bare SQL. When that happens, I almost always use HEREDOCs and my own version of String#squish.
- Objection to ORM Hatred
What are some alternatives?
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
ROM - Data mapping and persistence toolkit for Ruby
Apache Kafka - Mirror of Apache Kafka
ActiveRecord
Gearman
DataMapper
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
Hanami::Model - Ruby persistence framework with entities and repositories
celery - Distributed Task Queue (development branch)
Redis-Objects - Map Redis types directly to Ruby objects
nsq - A realtime distributed messaging platform
Neo4j.rb - An active model wrapper for the Neo4j Graph Database for Ruby.