noria
patterns
noria | patterns | |
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26 | 63 | |
4,925 | 7,722 | |
1.0% | 1.4% | |
0.0 | 7.5 | |
over 2 years ago | 16 days ago | |
Rust | Handlebars | |
Apache License 2.0 | Mozilla Public 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.
patterns
- Best practices for designing traits in public crates?
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Ask HN: Learning new coding patterns – how to start?
For OOP design patterns in Rust, see: https://rust-unofficial.github.io/patterns/
For a book on FP, see: https://www.manning.com/books/grokking-simplicity
- Haskell mini-patterns handbook (2020)
- Is there any site with Dos and Don'ts in Rust?
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Functional Options Pattern in Go and Rust
Just wanting to let this here for some further input: - https://rust-lang.github.io/api-guidelines/ - https://rust-unofficial.github.io/patterns/ - https://deterministic.space/elegant-apis-in-rust.html
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Rust exercices for tech interview
Rust Design Patterns
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I want some help learning design patterns
I know about Rust Design Pattern what are your reviews for the same?
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I've been writing C# for nearly a decade, but I want to learn how to build programs with Rust. What do I need to change about how I structure my code?
Once you've finished with The Book and possibly Programming Rust, 2nd Edition if you've got the cash for a paid book, read Learning Rust With Entirely Too Many Linked Lists (it helps to solidify what ownership and borrowing mean for data structures) and Rust Design Patterns.
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Is there a coding style and set of best-practices that avoid (not bypass) "fighting the borrow checker"?
Well, there's https://rust-unofficial.github.io/patterns/ for a start.
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Comprehensive Rust 🦀 is now available in Korean!
Love the translation pipeline, currently looking into adopting that as well for the Rust patterns book!
What are some alternatives?
zombodb - Making Postgres and Elasticsearch work together like it's 2023
nomicon - The Dark Arts of Advanced and Unsafe Rust Programming
timely-dataflow - A modular implementation of timely dataflow in Rust
rust-typed-builder - Compile-time type-checked builder derive
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
too-many-lists - Learn Rust by writing Entirely Too Many linked lists
TablaM - The practical relational programing language for data-oriented applications
book - The Rust Programming Language
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.
idiomatic-rust - 🦀 A peer-reviewed collection of articles/talks/repos which teach concise, idiomatic Rust.
mysql-live-select - NPM Package to provide events on updated MySQL SELECT result sets
vulkano - Safe and rich Rust wrapper around the Vulkan API