noria
tock
noria | tock | |
---|---|---|
26 | 32 | |
4,925 | 4,999 | |
1.0% | 1.6% | |
0.0 | 9.9 | |
over 2 years ago | 3 days ago | |
Rust | Rust | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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noria
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Relational is more than SQL
> Automatically managed, application-transparent, physical denormalisation entirely managed by the database is something I am very, very interested in.
Sounds a bit like Noria: https://github.com/mit-pdos/noria
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JetBrains Noria
It feels more than a little bit coincidental to call it Noria when https://github.com/mit-pdos/noria exists (and has been posted about here on HN)... especially with the whole bit about incrementally computing changes.
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Uplevel database development with DataSQRL: A compiler for the data layer
Is this similar in spirit to Noria?
https://github.com/mit-pdos/noria
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Dozer: A scalable Real-Time Data APIs backend written in Rust
I assume you have studied Noria? https://github.com/mit-pdos/noria
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What are the Rust databases and their benefits?
If you want to look how databases are implemented in rust try https://github.com/mit-pdos/noria
- Materialized View: SQL Queries on Steroids
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Measuring how much Rust's bounds checking actually costs
Only tangentially related, but I wondered what were the difference between ReadySet and Noria, and they address this exact question in their repository I'm really glad to know that the ideas behind Noria didn't die when Noria was abandoned after /u/jonhoo graduated.
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PlanetScale Boost serves your SQL queries instantly
:wave: Author of the paper this work is based on here.
I'm so excited to see dynamic, partially-stateful data-flow for incremental materialized view maintenance becoming more wide-spread! I continue to think it's a _great_ idea, and the speed-ups (and complexity reduction) it can yield are pretty immense, so seeing more folks building on the idea makes me very happy.
The PlanetScale blog post references my original "Noria" OSDI paper (https://pdos.csail.mit.edu/papers/noria:osdi18.pdf), but I'd actually recommend my PhD thesis instead (https://jon.thesquareplanet.com/papers/phd-thesis.pdf), as it goes much deeper about some of the technical challenges and solutions involved. It also has a chapter (Appendix A) that covers how it all works by analogy, which the less-technical among the audience may appreciate :) A recording of my thesis defense on this, which may be more digestible than the thesis itself, is also online at https://www.youtube.com/watch?v=GctxvSPIfr8, as well as a shorter talk from a few years earlier at https://www.youtube.com/watch?v=s19G6n0UjsM. And the Noria research prototype (written in Rust) is on GitHub: https://github.com/mit-pdos/noria.
As others have already mentioned in the comments, I co-founded ReadySet (https://readyset.io/) shortly after graduating specifically to build off of Noria, and they're doing amazing work to provide these kinds of speed-ups for general-purpose relational databases. If you're using one of those, it's worth giving ReadySet a look to get these kinds of speedups there! It's also source-available @ https://github.com/readysettech/readyset if you're curious.
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PlanetScale Boost
It seems similar to MIT's Noria [1]
> Noria is a new streaming data-flow system designed to act as a fast storage backend for read-heavy web applications based on Jon Gjengset's Phd Thesis, as well as this paper from OSDI'18. It acts like a database, but precomputes and caches relational query results so that reads are blazingly fast. Noria automatically keeps cached results up-to-date as the underlying data, stored in persistent base tables, change. Noria uses partially-stateful data-flow to reduce memory overhead, and supports dynamic, runtime data-flow and query change.
[1] https://github.com/mit-pdos/noria
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OctoSQL allows you to join data from different sources using SQL
Materialize is really neat, also checkout https://github.com/mit-pdos/noria. It inverts the query problem and processes the data on insert. Exactly like what most applications end up doing using a no-sql solution.
tock
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OxidOS Automotive
Hi! This is Daniel from OxidOS Automotive (stating this for disclaimer purposes).
Yes, our OS is based on TockOS, and our CEO (Alex Radovici) is #7 in the contributors list (https://github.com/tock/tock/graphs/contributors), with other colleagues contributing in the past years.
- What is the best library to write a SCADA-like application for web?
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Safety vs. Performance. A case study of C, C++ and Rust sort implementations
I'm definitely not the best person to answer this, but honestly it's not bad. Here's an example of a moderately complex peripheral, the cortex-m MPU, and how one rust OS handles it:
https://github.com/tock/tock/blob/3a0527d586702b8ae8cb242391...
Reads and writes turn into volatile reads, so everything works out under the hood. You get the benefits of everything having good names, declared sizes, and proper typing on your register accesses. You can extend that to bit accesses as well.
Rust still has a few areas it isn't competitive in, like your hyper limited or obscure chips (e.g. 8051s, XAP), mature tooling around formal methods, and a certification story for safety critical code. People are working on these latter two issues (e.g. ferrocene) and supposedly very close to public delivery, but you know how slow the industry is to adopt new things even then.
- Ask HN: Any Hardware Startups Here?
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Real-Time Operating Systems 101: Basics for Efficient Computing
There's Tock (https://www.tockos.org/), which is written in Rust (with sprinkles of assembly).
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Unwinding the Stack the Hard Way
Yeah, and I like I mentioned in the earlier comment, omitting the frame pointer reduces code size by 10% on RISC-V targets, which is huge when dealing with embedded flash: https://github.com/tock/tock/pull/1660
- Where are the C Alternatives?
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Embedded real time OS
Tock is an excellent embedded OS written in Rust and has some good industrial support. I think Tock gets a lot of stuff right and I highly recommend some of the talks the developers gave on it.
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Fedora now has frame pointers
Unfortunately, it increases the code size by 10%. I was looking into this just last week, and can confirm that it's still a problem on the latest version of Rust nightly: https://github.com/tock/tock/pull/1660
I wish we could have frame pointers, because they would make working in embedded land so much easier and more reliable, but a 10% increase in code size just isn't worth it.
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Rust OS
TockOS was the first rust RTOS I found. Coincidentally, it has had support for the esp32c3 for over a year now.
What are some alternatives?
zombodb - Making Postgres and Elasticsearch work together like it's 2023
awesome-embedded-rust - Curated list of resources for Embedded and Low-level development in the Rust programming language
timely-dataflow - A modular implementation of timely dataflow in Rust
rust-raspberrypi-OS-tutorials - :books: Learn to write an embedded OS in Rust :crab:
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
hubris - A lightweight, memory-protected, message-passing kernel for deeply embedded systems.
TablaM - The practical relational programing language for data-oriented applications
redox - Mirror of https://gitlab.redox-os.org/redox-os/redox
readyset - Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.
rtic - Real-Time Interrupt-driven Concurrency (RTIC) framework for ARM Cortex-M microcontrollers
mysql-live-select - NPM Package to provide events on updated MySQL SELECT result sets
smoltcp - a smol tcp/ip stack