Artwork

Inhalt bereitgestellt von Drew Bragg. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Drew Bragg oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
Player FM - Podcast-App
Gehen Sie mit der App Player FM offline!

Episode 45 - Stephen Margheim

39:22
 
Teilen
 

Manage episode 464944579 series 3310917
Inhalt bereitgestellt von Drew Bragg. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Drew Bragg oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Stephen Margheim, a celebrated figure in the Ruby and Rails community, returns to unravel the fascinating intricacies of his latest project—writing a parser for SQLite's SQL dialect in Ruby. He shares his enlightening journey of translating complex SQL syntax, which at first seemed a simple endeavor but soon unfolded into a realm of deep learning and unexpected challenges. Alongside this, Stephen collaborates with Aaron Francis on "High Leverage Rails," a video course designed to spotlight the synergy between Rails and SQLite, offering a treasure trove of insights into developing high-quality applications.
We dive into the nuanced world of SQL parsing, where Stephen candidly recounts the arduous process of porting SQLite's lexer and parser into Ruby. What began as a straightforward task quickly turned into a labyrinth of complex syntax and discrepancies that required astute attention and incremental progress. He reflects on the absence of a fully compatible SQLite parser in any language, emphasizing the significance of open parsers like Postgres in creating a robust ecosystem for tools and libraries.
Stephen's excitement is palpable as he discusses Quickdraw, a groundbreaking testing framework that revolutionizes testing in multi-core environments. This innovation, along with the anticipation for RailsConf 2025 in Philadelphia, paints a bright future for the Rails community. With rich discussions on parsing, testing, and upcoming Rails events, this episode promises to inspire and engage both seasoned developers and newcomers to the Ruby and Rails landscape. Join us for an episode filled with excitement, insight, and a glimpse into the future of Rails development.

Send us some love.

Honeybadger
Honeybadger is an application health monitoring tool built by developers for developers.
Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.
Support the show

  continue reading

Kapitel

1. Episode 45 - Stephen Margheim (00:00:00)

2. High Leverage Rails Video Course (00:00:01)

3. Overcoming Challenges in Parser Development (00:11:43)

4. Building a Powerful Ruby SQL Parser (00:18:53)

5. Excitement for High Leverage Rails Course (00:32:39)

6. Excitement for RailsConf Tickets Announcement (00:38:36)

66 Episoden

Artwork
iconTeilen
 
Manage episode 464944579 series 3310917
Inhalt bereitgestellt von Drew Bragg. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Drew Bragg oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Stephen Margheim, a celebrated figure in the Ruby and Rails community, returns to unravel the fascinating intricacies of his latest project—writing a parser for SQLite's SQL dialect in Ruby. He shares his enlightening journey of translating complex SQL syntax, which at first seemed a simple endeavor but soon unfolded into a realm of deep learning and unexpected challenges. Alongside this, Stephen collaborates with Aaron Francis on "High Leverage Rails," a video course designed to spotlight the synergy between Rails and SQLite, offering a treasure trove of insights into developing high-quality applications.
We dive into the nuanced world of SQL parsing, where Stephen candidly recounts the arduous process of porting SQLite's lexer and parser into Ruby. What began as a straightforward task quickly turned into a labyrinth of complex syntax and discrepancies that required astute attention and incremental progress. He reflects on the absence of a fully compatible SQLite parser in any language, emphasizing the significance of open parsers like Postgres in creating a robust ecosystem for tools and libraries.
Stephen's excitement is palpable as he discusses Quickdraw, a groundbreaking testing framework that revolutionizes testing in multi-core environments. This innovation, along with the anticipation for RailsConf 2025 in Philadelphia, paints a bright future for the Rails community. With rich discussions on parsing, testing, and upcoming Rails events, this episode promises to inspire and engage both seasoned developers and newcomers to the Ruby and Rails landscape. Join us for an episode filled with excitement, insight, and a glimpse into the future of Rails development.

Send us some love.

Honeybadger
Honeybadger is an application health monitoring tool built by developers for developers.
Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.
Support the show

  continue reading

Kapitel

1. Episode 45 - Stephen Margheim (00:00:00)

2. High Leverage Rails Video Course (00:00:01)

3. Overcoming Challenges in Parser Development (00:11:43)

4. Building a Powerful Ruby SQL Parser (00:18:53)

5. Excitement for High Leverage Rails Course (00:32:39)

6. Excitement for RailsConf Tickets Announcement (00:38:36)

66 Episoden

सभी एपिसोड

×
 
Loading …

Willkommen auf Player FM!

Player FM scannt gerade das Web nach Podcasts mit hoher Qualität, die du genießen kannst. Es ist die beste Podcast-App und funktioniert auf Android, iPhone und im Web. Melde dich an, um Abos geräteübergreifend zu synchronisieren.

 

Kurzanleitung

Hören Sie sich diese Show an, während Sie die Gegend erkunden
Abspielen