A universal query engine in Rust (with Predrag Gruevski)

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תוכן מסופק על ידי Kris Jenkins. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Kris Jenkins או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

<div class="span index">1</div> <span><a class="" data-remote="true" data-type="html" href="/series/squid-game-the-official-podcast">Squid Game: The Official Podcast</a></span>

1
Squid Game: The Official Podcast

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לפני 18 ימיםלפני 18d ago

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The final season is here—and Squid Game: The Official Podcast is your ultimate companion to the end of the Game. Hosts Phil Yu and Kiera Please return once more to break down every shocking twist and betrayal, and the choices that will determine who, if anyone, makes it out alive. Will Player 456 and the cast of characters we’ve grown to love finally be able to dismantle the games for good? Or will the cycle continue? Alongside creators, cultural critics, and viral internet voices, Phil and Kiera provide their own theories for how the season ends, and what ⁠Squid Game⁠ ultimately reveals about power, sacrifice, and the systems that shape us. The biggest question isn’t who wins—it’s what it means to be human. Squid Game: The Official Podcast returns Friday, June 27th.

לפני שנה 1:15:31

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This week we dive into Trustfall to figure out how it works. How do you model nearly anything as a datasource? How do you make it easy to extend? And what does it take to optimize a query that’s going to be spread out over multiple systems and potentially multiple servers? Questions, questions, questions - all about the act of asking our systems questions. 😃

–

Trustfall Source: https://github.com/obi1kenobi/trustfall

Cargo Semver Checks: https://crates.io/crates/cargo-semver-checks

How to Query Almost Everything: https://predr.ag/querying/

SemVer In Rust (talk): https://predr.ag/blog/semver-in-rust-tooling-breakage-and-edge-cases/#cargo-semver-checks-lints-are-database-queries-in-disguise

Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices

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Kris on Mastodon: http://mastodon.social/@krisajenkins

Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Kris on Twitter: https://twitter.com/krisajenkins

93 פרקים

#Tech #News #Tech News #Kris Jenkins #Programming #Software Development #Software #Software Archtecture #Programming Language #Database

A universal query engine in Rust (with Predrag Gruevski)

Developer Voices

19 subscribers

published לפני שנה

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MP3•בית הפרקים

–

Trustfall Source: https://github.com/obi1kenobi/trustfall

Cargo Semver Checks: https://crates.io/crates/cargo-semver-checks

How to Query Almost Everything: https://predr.ag/querying/

SemVer In Rust (talk): https://predr.ag/blog/semver-in-rust-tooling-breakage-and-edge-cases/#cargo-semver-checks-lints-are-database-queries-in-disguise

Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices

Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join

Kris on Mastodon: http://mastodon.social/@krisajenkins

Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Kris on Twitter: https://twitter.com/krisajenkins

93 פרקים

#Tech #News #Tech News #Kris Jenkins #Programming #Software Development #Software #Software Archtecture #Programming Language #Database

כל הפרקים

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לפני 10 ימים1:18:06

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לפני 23 ימים1:31:33

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לפני 5 weeks57:08

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לפני 7 weeks1:29:29

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How do you retrofit a clustered data-processing system to use cheap commodity storage? That’s the big question in this episode as we look at one of the many attempts to build a version of Kafka that uses object storage services like S3 as its main disk, sacrificing a little latency for cheap, infinitely-scalable disks. There are several companies trying to walk down that road, and it’s clearly big business - one of them recently got bought out for a rumoured $250m. But one of them is actively trying to get those changes back into the community, as are pushing to make Apache Kafka speak object storage natively. Joining me to explain why and how are Josep Prat and Filip Yonov of Aiven. We break down what it takes to make Kafka’s storage layer optional on a per-topic basis, how they’re making sure it’s not a breaking change, and how they plan to get such a foundational feature merged. – Announcement Post: https://aiven.io/blog/guide-diskless-apache-kafka-kip-1150 Aiven’s (Temporary) Fork, Project Inkless: https://github.com/aiven/inkless/blob/main/docs/inkless/README.md Kafka Improvement Process (KIP) Articles: KIP-1150: https://cwiki.apache.org/confluence/display/KAFKA/KIP-1150%3A+Diskless+Topics KIP-1163: Diskless Core: https://cwiki.apache.org/confluence/display/KAFKA/KIP-1163%3A+Diskless+Core KIP-1164: Topic Based Batch Coordinator: https://cwiki.apache.org/confluence/display/KAFKA/KIP-1164%3A+Topic+Based+Batch+Coordinator KIP-1165: Object Compaction for Diskless: https://cwiki.apache.org/confluence/display/KAFKA/KIP-1165%3A+Object+Compaction+for+Diskless Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Filip on LinkedIn: https://www.linkedin.com/in/filipyonov Josep on LinkedIn: https://www.linkedin.com/in/jlprat/ Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/…

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לפני 9 weeks1:24:29

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לפני 11 weeks1:12:22

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Building a database is a serious undertaking. There are just so many parts that you have to implement before you even get to a decent prototype, and so many hours of work before you could begin working on the ideas that would make your database unique. Apache DataFusion is a project that hopes to change all that, but building an extensible, composable toolkit of database pieces, which could let you build a viable database extremely quickly, and then innovate from that starting point. And even if you’re not building a database, it’s a fascinating project to explain how databases are built. Joining me to explain it all is Andrew Lamb, one of DataFusion’s core contributors, and he’s going to take us through the whole stack, how it’s built and how you could use it. Along the way we cover everything from who’s building interesting new databases and how you manage a large, open-source Rust project. – DataFusion Homepage: https://datafusion.apache.org/ DataFusion on Github: https://github.com/apache/datafusion DataFusion Architecture (with diagrams!): https://youtu.be/NVKujPxwSBA?si=tw9ACxlbdpBuVsnv&t=1045 Datalog: https://docs.racket-lang.org/datalog/ Tokio: https://tokio.rs/ Andrew’s Homepage: http://andrew.nerdnetworks.org/ Andrew’s Blog Post about Tokio: https://thenewstack.io/using-rustlangs-async-tokio-runtime-for-cpu-bound-tasks/ Velox: https://velox-lib.io/ Arroyo: https://www.arroyo.dev/ Synnada: https://www.synnada.ai/ LanceDB: https://lancedb.com/ SDF+DBT: https://docs.sdf.com/integrations/dbt/integrating Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/…

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לפני 15 weeks1:29:11

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Jupyter’s become an incredibly popular programming and data science tool, but how does it actually work? How have they built an interactive language execution engine? And if we understand the architecture, what else could it be used for? Joining me to look inside the Jupyter toolbox are Afshin Darian and Sylvain Corlay, two of Jupyters long-standing contributors and project-steerers. They’ve going to take us on a journey that starts with today’s userbase, goes through the execution protocol and ends with a look at what Jupyter will be in the future - an ambitious framework for interactive, collaborative applications and more. – Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Jupyter Homepage: https://jupyter.org/ Jupyter Xeus: https://github.com/jupyter-xeus/xeus Jupyter AI: https://github.com/jupyterlab/jupyter-ai Jupyter CAD: https://github.com/jupytercad/JupyterCAD Jupyter GIS: https://github.com/geojupyter/jupytergis/ Jupyter GIS Announcement: https://blog.jupyter.org/real-time-collaboration-and-collaborative-editing-for-gis-workflows-with-jupyter-and-qgis-d25dbe2832a6 QGIS: https://qgis.org/ ZeroMQ: https://zeromq.org/ Sylvain on LinkedIn: https://www.linkedin.com/in/sylvaincorlay Darian on LinkedIn: https://www.linkedin.com/in/afshindarian Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/…

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לפני 17 weeks1:20:36

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Ever since we invented makefiles, the programming world has been wrestling with the problem of building software stacks reliably. This week we’re going to look at one of the most ambitious solutions available - Nix. Nix tries to do everything from invoking your compiler to installing your language, and even providing your operating system. But how does it work in theory, and how well does it work in practice? Joining me to discuss is Julian Arni, a Nix-enthusiast and creator of a build/test/deploy service called Garnix. Nix has been one of my go-to tools for years - I hope it’ll find its way into your stack. – Nix Overview: https://nixos.org/explore/ Nix Tutorial: https://nix.dev/tutorials/first-steps/ Nix Flakes: https://nixos.wiki/wiki/Flakes The Nix Package List: https://search.nixos.org/packages Garnix.IO: https://garnix.io/ Julian’s NixCon Talk, Call by Hash: https://www.youtube.com/watch?v=fU9ogB9hZZA Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/…

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לפני 19 weeks1:17:32

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Graphite is a new image editor with an interesting architecture - it’s a classic UI-driven app, an image-manipulation language, and a library of programmable graphics primitives that any Rust coder could use, extend or add to. The result is something that you can use like Photoshop or Inkscape, or make use of in batch pipelines, a bit like ImageMagick. Joining me to discuss it are Keavon Chambers & Dennis Kobert, who are hammering away on building a project that’s potentially as demanding as Photoshop, but with a more ambitious architecture. How can they hope to compete? Perhaps in the short term by doing what regular image And is the future of image editing modular? – Graphite Homepage: https://graphite.rs/ Graphite Web Version: https://editor.graphite.rs/ Graphite on Github: https://github.com/GraphiteEditor/Graphite Signed Distance Fields: https://jasmcole.com/2019/10/03/signed-distance-fields/ Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/…

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לפני 22 weeks1:32:53

1:32:53

ReScript is a strongly-typed programming language that compiles to JavaScript, and that puts it squarely in competition with TypeScript. So why would a JavaScript developer choose to learn it next? What does it offer that makes it a tempting proposition? And how are the ReScript developers making life easier for anyone who wants to make the switch? To answer all these questions and more, I’m joined this week by Gabriel Nordeborn, one of ReScript’s compiler contributors. -- ReScript: https://rescript-lang.org/ ReScript & React: https://rescript-lang.org/docs/react/latest/introduction Reanalyze: https://github.com/rescript-lang/reanalyze Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Gabriel on BlueSky: https://bsky.app/profile/did:plc:c55mqp6e6r24rrrypkmx7ker Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/…

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A universal query engine in Rust (with Predrag Gruevski) 1:15:31

לפני 24 weeks1:15:31

1:15:31

Trustfall is a library based on a simple question - what happens if we can query absolutely anything? If you could join REST APIs and databases with filesystems and dockerfiles? It’s possible in theory because those are all just datasources. Predrag Gruevski is trying to make it easy by building a universal query engine, with pluggable datasources, all in Rust. This week we dive into Trustfall to figure out how it works. How do you model nearly anything as a datasource? How do you make it easy to extend? And what does it take to optimize a query that’s going to be spread out over multiple systems and potentially multiple servers? Questions, questions, questions - all about the act of asking our systems questions. 😃 – Trustfall Source: https://github.com/obi1kenobi/trustfall Cargo Semver Checks: https://crates.io/crates/cargo-semver-checks How to Query Almost Everything: https://predr.ag/querying/ SemVer In Rust (talk): https://predr.ag/blog/semver-in-rust-tooling-breakage-and-edge-cases/#cargo-semver-checks-lints-are-database-queries-in-disguise Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/ Kris on Twitter: https://twitter.com/krisajenkins…

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Raspberry Pi Hardware & A Lisp Brain (with Dimitris Kyriakoudis) 1:34:43

לפני 26 weeks1:34:43

1:34:43

Dimitris Kyriakoudis is a researcher, programmer and musician who's combining all three talents to build dedicated music hardware. Specifically a device called the µseq, which reads Lisp programs and uses them to drive synthesizers to make music. In this episode we go through the full platform that he's building, from soldering resistors to an RPi chip, up through writing a Lisp interpreter, to the design ideas that make Lisp a good choice for composing both software and music. – uSeq Homepage: https://www.emutelabinstruments.co.uk/useq/ Emute Lab’s Homepage: https://www.emutelab.org/ Buy a uSeq: https://www.signalsounds.com/emute-lab-instruments-useq-live-coding-voltage-generator-eurorack-module/ Build a uSeq (DIY Kit): https://www.thonk.co.uk/shop/emute-lab-useq/ SICP (book): https://en.wikipedia.org/wiki/Structure_and_Interpretation_of_Computer_Programs Machina Bristronica (expo): https://machinabristronica.uk/ Sonic Pi: https://sonic-pi.net/ Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/ Kris on Twitter: https://twitter.com/krisajenkins – 0:00 Intro 2:20 What is µseq? 5:40 Live Coding As Another Instrument 17:42 Why Choose Lisp? 25:03 Different Dialects For Different Musical Tasks? 32:34 Live Coding As Academic Research 44:11 How Do You Fabricate Production Hardware? 49:00 The Triple-E Triangle 1:09:53 How Well Has This Theory Worked Out? 1:20:01 What's This Like To Play Live? 1:25:17 Comparisons With Sonic Pi 1:33:06 Outro…

לפני 1 year1:24:38

1:24:38

Mojo is the latest language from the creator of Swift and LLVM. It’s an attempt to take some of the best techniques from CPU/GPU-level programming and package them up in a Python-compatible syntax. In this episode we explore why Mojo was created, and what it offers to Python programmers and non-Python programmers alike. How is it built for performance, and which performance features matter? What’s its take on functional programming and type systems? And can it marry the high-level programming of Python with the low-level programming of LLVM/MLIR? If you’re a Python programmer who needs better performance, a C programmer who expects more from a ‘scripting language’, or just someone who’d be happier if Python had a first-class type system, Mojo might well be for you… – Mojo: https://www.modular.com/max/mojo Mojo’s Roadmap: https://docs.modular.com/mojo/roadmap.html The Mojo Discord: https://discord.com/invite/modular MLIR: https://mlir.llvm.org/ Chris’s Talks: https://nondot.org/sabre/Resume.html#talks Chris on Twitter: https://twitter.com/clattner_llvm Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/ Kris on Twitter: https://twitter.com/krisajenkins – #software #podcast #mojolang #ml #pythonml…

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