frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Rendering pull requests in the GitHub Copilot app

https://github.blog/engineering/user-experience/rendering-huge-pull-requests-in-the-github-copilo...
1•iamsyr•7m ago•0 comments

Australia says OpenAI agent hacked into government website

https://www.channelnewsasia.com/world/australia-openai-agent-breach-government-portal-6406411
1•doppp•7m ago•0 comments

Pentagon Investigating How F-35 Fighter Jet Parts Bound for US Were Diverted

https://www.military.com/pentagon-investigating-how-f-35-fighter-jet-parts-bound-for-us-were-dive...
1•harry_nutsachs•7m ago•1 comments

AP: Avoid language that gives [AI] human characteristics

https://twitter.com/APStylebook/status/2102807962364383502
3•jaredwiener•11m ago•0 comments

Qubits on NonQuantum HW Tested

https://laurinseclab.substack.com/p/breaking-news-makrogravintelligence
2•Rniznan•11m ago•0 comments

Liquid Network Security Incident Assessment

https://blog.blockstream.com/liquid-network-security-incident-assessment/
2•greyface-•12m ago•0 comments

FLAWED's Flaws and What This Means for Industry Research

https://suhacker.ai/p/flaweds-flaws-and-what-this-means-for-industry-research/
5•tob_scott_a•14m ago•0 comments

Geminigravit Core: De la teoría estática

https://gemini.google.com/app/3952a805cd6ad7a3
2•jccrcabello•16m ago•0 comments

We used an AI agent to fix an open-source bug. Someone asked to ban us

https://github.com/saulpw/visidata/pull/3229
10•maxcr•16m ago•3 comments

Shadow roots, explained with live examples

https://tools.simonwillison.net/shadow-roots
2•vismit2000•17m ago•0 comments

Show HN: Does per-step reasoning effort save money in Claude Code?

https://github.com/ifoster01/jev-effort
2•ifoster41901•23m ago•0 comments

Show HN: ChaosTree – Cache-Aware Java NavigableMap and NavigableSet Library

https://github.com/Chaos-vy/ChaosTree
1•chaos_vy•23m ago•0 comments

Show HN: Posting Puzzle – A Game Made of Post's Correspondence Problem

https://mametter.itch.io/posting-puzzle
1•mametter•24m ago•1 comments

AI startups with hyper ARR growth – what's happening inside these companies?

1•d675•26m ago•0 comments

Nesbox: A fast MicroVM with GPU sharing

https://github.com/nestrilabs/nesbox
1•WanjohiRyan•26m ago•0 comments

Using my transit card data to create a year in review experience

https://cailinpitt.com/blog/2026/9/1/chicago-transit-authority-wrapped
1•classictraffic•28m ago•0 comments

Virtio-nvgpu: Near-native Nvidia GPU access inside a KVM guest

https://github.com/nestrilabs/virtio-nvgpu
2•WanjohiRyan•28m ago•0 comments

Scientists build most accurate atomic clock

https://phys.org/news/2026-09-scientists-world-accurate-atomic-clock.html
1•wglb•31m ago•1 comments

AI Has Cracked the Most Diabolical Problems in Math. Why Can't It Solve Chess?

https://www.wsj.com/tech/ai/chess-artificial-intelligence-ai-e969a830
1•sonabinu•31m ago•0 comments

lm-detector: Model fingerprint detection on Web and CLI

https://github.com/Ikaleio/lm-detector/
1•csmantle•34m ago•0 comments

SnakeCharmer: Fuzzing Harness Generation for Pure and Hybrid Python Libraries [pdf]

https://futures.cs.utah.edu/papers/26FSE-b.pdf
2•luu•41m ago•0 comments

Making my vibe-coded app best as possible (I am perfectionist), umm for 0 users

1•arpanghoshal•42m ago•0 comments

JEV Engineering for Coding Agents

https://drive.google.com/file/d/17h982xvsL3E7b80iGmOCfKp9qTOW9ohv/view?pli=1
2•sonabinu•44m ago•0 comments

Show HN: An open-source manufacturing ERP/MES/QMS

https://carbon.ms/self-hosted
3•barbinbrad•45m ago•0 comments

Hard Startups (2020)

https://blog.samaltman.com/hard-startups
1•alentodorov•47m ago•0 comments

OnPanda – Open-source token inspection&data annotation tool from Step 5 Preview

https://twitter.com/StepFun_ai/status/2102454115473510643
3•WavyPeng•47m ago•0 comments

Feds Target AI Critics as "Foreign Agents"

https://www.kenklippenstein.com/p/feds-think-ai-critics-are-foreign
3•nmeagent•49m ago•1 comments

Arumayi

https://arumayi.com/
1•samyak007•51m ago•0 comments

Calculating atmospheric drag on satellites for a Cubesat [pdf]

https://www.osti.gov/servlets/purl/1124870
1•walrus01•56m ago•0 comments

ChatGPT DIL (Declarative Interface Language)

https://twitter.com/oranlooney/status/2102918945858576750
1•olooney•57m ago•0 comments
Open in hackernews

Decomposing Transactional Systems

https://transactional.blog/blog/2025-decomposing-transactional-systems
132•pongogogo•1y ago

Comments

karmakaze•1y ago
> commit version is chosen — the time at which the database claims all reads and writes occurred atomically.

This post doesn't mention transaction isolation specifically though it does say "How does this end up being equal to SERIALIZABLE MySQL?" So maybe I'm supposed to consider this post only for 'Every transactional system' running with SERIALIZABLE transaction isolation. I don't particularly care about that. I do care that the database I use clearly states what its isolation names mean in detail and that it does exactly what it says. e.g. I don't expect MySQL SERIALIZABLE to exactly mean the same as any other database that uses the same term.

mjb•1y ago
MySQL Serializable is pretty similar to serializable in other databases, in terms of the observable anomalies. There's a good set of tests here: https://github.com/ept/hermitage

> So maybe I'm supposed to consider this post only for 'Every transactional system' running with SERIALIZABLE transaction isolation.

No, it's a general point about the nature of transactions in DBMSs, and the different implementation choices. As the article says, there are some variations (e.g. MVCC at levels lower than serializable inherently has two 'order' steps).

karmakaze•1y ago
I'm not seeing the mention of two 'order' steps. Are you referring to the larger part of what I quoted?

> MVCC databases may assign two versions: an initial read version, and a final commit version. In this case, we’re mainly focused on the specific point at which the commit version is chosen — the time at which the database claims all reads and writes occurred atomically.

For non-SERIALIZABLE isolation there may be no such "time at which the database claims all reads and writes occurred atomically", which is how I took the rest of the post to mean when running with SERIALIZABLE isolation.

transactional•1y ago
(Hi! Post author here.)

It is written with a lean towards serializable, partly because there's a wide variety of easy examples to pull which all implement serializable, but the ideas mostly extend to non-serializable as well. Non-serializable but still MVCC will also place all of their writes as having happened at a single commit timestamp, they just don't try to serialize the reads there, and that's fine. When looking at non-serializable not MVCC databases, it's still useful to just try to answer how the system does each of the four parts in isolation. Maybe I should have been more direct that you're welcome to bend/break the mental model in whatever ways are helpful to understand some database.

The line specifically about MySQL running at serializable was because it was in the Spanner section, and Spanner is a (strictly) serializable database.

karmakaze•1y ago
Thanks for the clarifications and diagrams. I can see how using something like Spanner from the outset makes sense to use and stick with serializable isolation. With other SQL dbs, I've mostly seen repeatable read, read committed, and even read uncommitted used in the name of performance. Read committed works fine but you have to design everything for it from the start with thoughtful write and read sequences.

Moving to serializable should be easy but isn't in the case of Spanner and the like because you can't make 100+ of sub-millisecond queries to respond to an API request if that's how your app evolved.

The way I imagine the future is to bring the code closer to the data like stored procedures, but maybe in a new way like modern languages compiled to run (and if necessary retry) in a shard of the database.

mjb•1y ago
This is great, really worth reading if you're interested in transactions.

I liked it so much I wrote up how the model applies to Amazon Aurora DSQL at https://brooker.co.za/blog/2025/04/17/decomposing.html It's interesting because of DSQL's distributed nature, and the decoupling between durability and application to storage in our architecture.

maniacalhack0r•1y ago
DSQL is so cool - have been following since the release and once it supports more of the postgres feature set + extensions it’ll be a killer. Fantastic architecture deep dive at ReInvent as well.
pongogogo•1y ago
Hey Mark, I actually found this post via yours so thanks!