Sequel VS Polyphony

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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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.

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.

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.

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.

sequel is a pretty good option! To use the above snowflake adapter for sequel, you'll have to learn to use sequel (which is pretty easy). https://sequel.jeremyevans.net/

When using green threads/fibers/coroutines, an interesting technique to make signal handling safer is to run the signal handler asynchronously on a separate fiber/green thread. That way most of the problems of dealing with signals go away, and there's basically no limitation on what you can do inside the signal handler.

I've successfully used this technique in Polyphony [1], a fiber-based Ruby gem for writing concurrent programs. When a signal occurs, Polyphony creates a special-purpose fiber that runs the signal handling code. The fiber is put at the head of the run queue, and is resumed once the currently executed fiber yields control.

[1] https://github.com/digital-fabric/polyphony

Read the release notes here: https://github.com/orgs/digital-fabric/discussions/110 The Polyphony docs: https://www.rubydoc.info/gems/polyphony The Polyphony repository: https://github.com/digital-fabric/polyphony

Polyphony is a gem for building highly-concurrent Ruby programs. It utilizes Ruby fibers to provide a high-performance safe environment for launching any number of concurrent operations. Under the hood, Polyphony employs io_uring to maximize I/O performance (libev is used on platforms other than recent Linux kernels).

Is monkey-patching inherently bad? Should its use make Polyphony illegitimate? These are the questions I'm exploring in my latest article.

how is this diff from: https://github.com/digital-fabric/polyphony

Infinite loops are great for expressing long-running concurrent operations. In this article I’ll discuss the use of infinite loops as a major construct when writing concurrent apps in Ruby using Polyphony. I’ll show how infinite loops differ from normal, finite ones; how they can be used to express long-running tasks in a concurrent environment; and how they can be stopped. Read it now!

Polyphony is a library for writing highly concurrent Ruby apps. Polyphony harnesses Ruby fibers and a powerful io_uring-based I/O runtime to provide a solid foundation for building high-performance concurrent Ruby apps.

> Curious if there’s anything public about improving ruby performance from the I/O angle mentioned in the post.

I'm currently working on Polyphony [0], a Ruby gem for writing highly-concurrent Ruby apps. It uses Ruby fibers under the hood, and does I/O using io_uring (on Linux, there is also a libev-based backend).

[0] https://github.com/digital-fabric/polyphony