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lmwnshn
searching PlanetScale…
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6 ms
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by
lmwnshn
3mo ago
Flaky tools and unreliable systems aren't that different. "What if my database crashes while recovering? What if it crashes while recovering from a crash-while-recovering?" That's when you pull out database ARIES, UNDO &
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by
lmwnshn
3mo ago
Yup! MIT licensed, do whatever you want, you can also just use it directly with nodejs installed through `npx clankerbend` [0]. The screenshot on the github repo links you to a YouTube demo. Warning: I use this daily myself for work, but be
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by
lmwnshn
3mo ago
Agreed. While not directly applicable, I was a huge fan of Mozilla's rr [0] in undergrad. Quoting their site: > rr records a group of Linux user-space processes and captures all inputs to those processes from the kernel, plus any no
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lmwnshn
3mo ago
Soon we'll be able to carbon date humans based on AI exposure. brb pivoting my startup
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lmwnshn
3mo ago
I was at an AI event and the number of people who have started talking like AI output is crazy.
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lmwnshn
3mo ago
And although Codex Desktop is not open source (AFAIK), it does expose CDP and appserver which allowed me to build a Greasemonkey-like plugin system on top of it. It's surprisingly powerful, you can add transcript annotations, programma
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lmwnshn
3mo ago
With my database hat on, in the context of agentic systems I would argue that write-ahead logs form a good (and potentially transactional) interface between speculative agent work and durable world mutations [0]. That said, there are a _lot
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Stealing 50 Years of Database Ideas for AI Agents
(onewill.ai)
10 points
by
lmwnshn
3mo ago
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0 comments
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lmwnshn
5mo ago
I've been coding on Android for a few months, mostly while walking around outside or showering. I'm on a mix of Tailscale + Termux + ssh server + tmux + codex CLI, Tailscale is great. I think you may be able to optimize your workf
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lmwnshn
9mo ago
It is an undergrad course, though it is cross-listed for masters students as well. At CMU, the prerequisites chain looks like this: 15-122 (intro imperative programming, zero background assumed, taken by first semester CS undergrads) ->
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lmwnshn
1y ago
Check out the full version of Towards Scalable Dataframe Systems from VLDB 2020 [0]. They propose an algebra for dataframes and section 4.4's example succinctly describes the pivot operator. [0] https://arxiv.org/abs&#x
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lmwnshn
1y ago
https://csstipendrankings.org/
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lmwnshn
2y ago
Slow is relative, but you might want to check out Garnet [0] for ideas. Previous discussion at [1], current compatibility at [2]. [0] https://www.microsoft.com/en-us/research/blog/introducing-ga... [1] https
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lmwnshn
2y ago
Pretty much. Plus, from my perspective - if a company is willing to screw over your advisor/professor, you know that they won't hesitate to screw you over too.
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lmwnshn
2y ago
> ... you should not recruit the university department/group/students against your peers ... As a student who chose to stay at CMU for a PhD because of this group, it is quite the opposite situation - you may also misunderstand
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lmwnshn
2y ago
You're correct, but for additional context, this paper will actually be presented at VLDB 2024 [0]. > All papers published in this issue will be presented at the 50th International Conference on Very Large Data Bases, Guangzhou, Chi
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lmwnshn
3y ago
For an eh in the other direction: I overpaid PA state taxes in 2020 by a decent chunk. The last time I called, they said that they're still processing amended returns from 2019 (which you can verify by going to their "Where's
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lmwnshn
3y ago
[first author here] I'm not sure why this is on the front page. Speaking only on my own behalf, I like to think of this as a paper that's motivated by problems that I kept running into while re-implementing papers related to self-
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lmwnshn
3y ago
You may be interested in DuckDB's CIDR talk on the little miracles that made it possible. [0] [0] https://twitter.com/motherduck/status/1615487300523429889
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lmwnshn
3y ago
My link replaces; we did not use OP's book when I took the course. That said, OP's book looks more conversational in tone, which I personally have a slight preference for.
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lmwnshn
3y ago
Judging by the URL, this book was used for CMU's 15-151 / 21-128, which is a first-semester course for CS and math undergrads. Nowadays, the course uses [0]. [0] https://infinitedescent.xyz/
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lmwnshn
3y ago
You can do the projects (the autograder is public) and join a discord community of non-CMU people that are following along too! e.g., [0] for Fall 2022. [0] https://15445.courses.cs.cmu.edu/fall2022/faq.html#q8
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lmwnshn
4y ago
(for CS) You can find more numbers from Jeff Huang's Computer Science Open Data, which posts verified stipends: [0] [0] https://jeffhuang.com/computer-science-open-data/#verified-c...
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lmwnshn
4y ago
https://15445.courses.cs.cmu.edu/fall2022/faq.html#q7
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lmwnshn
4y ago
More entertainment than how-to guide, and oriented more towards developers than ops, but if you haven't read "Scalability! But at what COST?" [0], I think you'll enjoy it. [0] https://www.frankmcsherry.org
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lmwnshn
4y ago
To add to this thread, some people have done this exploration before, see slides 11 and 20 of [0] or Figure 1 of [1]. Could you just throw more RAM at your problems in a disk-backed system? In practice, probably. But there are distinct adva
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lmwnshn
4y ago
I think you're thinking of a ROSCA [0], e.g., from Poor Economics [1], > In Africa, the most popular instruments are rotating savings and credit associations (ROSCAs) - more commonly known as "merry-go-rounds" in English-s
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lmwnshn
4y ago
Supposedly, it is significantly slower than SingleStore on various TPC-H SF-10 queries [0]. [0] https://twitter.com/DomenicRavita/status/1529963959465435154
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lmwnshn
4y ago
You might be interested in [0], which is one of the course readings for [1] which has video available ("Storage Models, Data Layout, & System Catalogs"). Specifically, the paper asks if you can turn a row-store into a column-s
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lmwnshn
4y ago
Thanks for the detailed response, looking forward to the VLDB paper when it happens! Your vision sounds cool. I wonder if you could get most of the way there by exposing the workload (across different pipeline stages) to a materialized view
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