noria
Rudra
noria | Rudra | |
---|---|---|
26 | 11 | |
4,925 | 1,296 | |
1.0% | 0.3% | |
0.0 | 5.5 | |
over 2 years ago | 2 months ago | |
Rust | Rust | |
Apache License 2.0 | Apache License 2.0 |
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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.
Rudra
- Rudra – static analyzer to detect common undefined behaviors in Rust programs
- Rudra: Finding Memory Safety Bugs in Rust at the Ecosystem Scale [pdf]
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Does Rust not need extra linting and sanitizing tools like C++?
If you’re writing unsafe Rust, you might consider cargo miri and Rudra as additional static analyzers which can find bugs rustc won’t
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Open Rust-related systems research problems suitable for PhD?
In my opinion, much of Rust-specific PhD research likely to be publishable and/or high impact either falls into verification (e.g Prusti, Cruesot) or bug-finding (e.g. Rudra, SyRust). Ralf Jung and his collaborators have done exceptional work in the verification space.
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Introducing Fortify: A simple and convenient way to bundle owned data with a borrowing type
Perhaps Rudra as well.
- Magma, a project I hope will make provably correct software possible for everyone
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Is There Anyway To Analyze Unsafe Rust Code For Vulnerabilities?
Haven't used it myself, but I remembered a tool called Rudra was recently posted about in the sub
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Scylla – Real-Time Big Data Database
Not sure proves your point, but maybe doesn't disprove your point strongly enough. I am not qualified to argue from experience about how Rust is ideally suited in the ways you think it is not. But from everything I have seen, it can do a whole lot of what C++ is also good at. Rust safety is not all or nothing and a codebase could definitely prioritize ergonomics over correctness.
Two things that I saw in the last couple weeks that might start to sway you.
https://github.com/sslab-gatech/Rudra#readme
GhostCell: Separating Permissions from Data in Rust
- Rudra, Rust Memory Safety and Undefined Behavior Detection
- Rudra: Rust Memory Safety and Undefined Behavior Detection
What are some alternatives?
zombodb - Making Postgres and Elasticsearch work together like it's 2023
magmide - A dependently-typed proof language intended to make provably correct bare metal code possible for working software engineers.
timely-dataflow - A modular implementation of timely dataflow in Rust
prusti-dev - A static verifier for Rust, based on the Viper verification infrastructure.
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
project-safe-transmute - Project group working on the "safe transmute" feature
TablaM - The practical relational programing language for data-oriented applications
electrolysis - Simple verification of Rust programs via functional purification in Lean 2(!)
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.
rust-verification-tools - RVT is a collection of tools/libraries to support both static and dynamic verification of Rust programs.
mysql-live-select - NPM Package to provide events on updated MySQL SELECT result sets
rust - Rust for the xtensa architecture. Built in targets for the ESP32 and ESP8266