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Thesis: Partial State in Dataflow-Based Materialized Views

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1 HN user recommended this talk in 1 different month between 2020 and 2024.

2007–2026
1 recommendation 2 citations HackerTube score 1

HN points to it, including Gjengset himself, as a more digestible way into partially-stateful dataflow than the thesis text, mostly in caching and database threads.

Jon Gjengset's 2020 PhD dissertation presentation at MIT on partial state in dataflow-based materialized views, the idea behind the Noria database. The Q&A is cut out.

Pull quote: “a shorter talk from a few years earlier at” (HN, 2022)

Also tagged: materialized views and dataflow, noria, partial state, dataflow, databases, caching

What Hacker News said

3 labeled comments from the HN archive; up to 20 are kept per video, favoring different commenters. Each one links back to the original thread.

Recommends Jonhoo November 2022 under How PlanetScale Boost serves SQL queries faster
Author's thesis defense on partially-stateful dataflow, easier than the thesis
Read the full comment
: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 ( [link] ), but I'd actually recommend my PhD thesis instead ( [link] ), 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 [this video] , as well as a shorter talk from a few years earlier at [link] . And the Noria research prototype (written in Rust) is on GitHub: [link] . As others have already mentioned in the comments, I co-founded ReadySet ( [link] ) 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 @ [link] if you're curious.

Citations, criticism and jokes

Cites it kondu October 2020 under Differential Dataflow
PhD thesis defense on Noria's partial state
this is also one of the main ideas behind Noria[1] (built by @jonhoo, who also gave his PhD dissertation[2] on this recently) [1] [link] [2] [this video]
Talk where Gjengset explains the underlying concept
Pretty sure that this is the database that Jon Gjengset[0] was working on as part of his thesis project. There have been several videos shared by him during talks about the system. It's a really interesting concept. edit: Here's[1] a video where he talks about the concept [0]: [link] [1]: [this video]

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