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peidran's profile
Peter Abrahamsen
Peter Abrahamsen
Peter Abrahamsen
@peidran

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Peter Abrahamsen

@peidran

"My vegetable love should grow / Vaster than empires and more slow." http://pronoun.is/he?or=they 

Lying in State
Joined August 2009

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    1. Brandon Bloom‏ @BrandonBloom 20 Dec 2018
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      Lots of folks at doing real time streams to caches and the like, but what ever happened to automatic incremental materialized view maintenance? Does something genuinely simple exist for that sort of thing? I want to climb out of the tar pit.

      4 replies 0 retweets 10 likes
    2.  🤡 this time will be different  🤡‏ @cemerick 20 Dec 2018
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      Replying to @BrandonBloom

      every serious impl is kept close to the vest as part of million-dollar BI platforms AFAICT

      1 reply 0 retweets 4 likes
    3. Brandon Bloom‏ @BrandonBloom 20 Dec 2018
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      Replying to @cemerick

      Interesting. Is there some evidence of these things somewhere?

      2 replies 0 retweets 0 likes
    4. Reid‏ @arrdem 20 Dec 2018
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      Replying to @BrandonBloom @cemerick

      there was a very good conj talk on some of this - a differential dataflow engine for streaming datalog queries over streaming inputs. gives you the tools to do incremental view maintenance. that talk and the backing MSR work is to Chas point the only public stuff I know of.

      2 replies 0 retweets 3 likes
    5. Reid‏ @arrdem 20 Dec 2018
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      Replying to @arrdem @BrandonBloom @cemerick

      I have not yet sat down with the rust server that was presented and played with it, but hard agree that tech will be a landscape changer when it goes big.

      1 reply 0 retweets 0 likes
    6. Peter Abrahamsen‏ @peidran 20 Dec 2018
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      Replying to @arrdem @BrandonBloom @cemerick

      If you comuacross a link, please share.

      1 reply 0 retweets 0 likes
    7. Reid‏ @arrdem 20 Dec 2018
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      Replying to @peidran @BrandonBloom @cemerick

      will dig for em as I get started here.

      1 reply 0 retweets 0 likes
    8. corvus frugilegus‏ @glaebhoerl 20 Dec 2018
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      Replying to @arrdem @peidran and

      I think/hope this is what people above are referring to: https://github.com/frankmcsherry/timely-dataflow … https://github.com/frankmcsherry/differential-dataflow … https://github.com/ryzhyk/differential-datalog … https://github.com/comnik/declarative-dataflow … (not clear if the latter two are competitors or what) and cc @frankmcsherry perhaps?

      2 replies 0 retweets 3 likes
    9. Frank McSherry‏ @frankmcsherry 20 Dec 2018
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      Replying to @glaebhoerl @arrdem and

      The latter two build on differential, and take complementary approaches. The first translates datalog to raw `.rs` files and compiled code, the second builds queries without compilation, but with some run-time overhead. Both are super neat!

      1 reply 0 retweets 2 likes
      Peter Abrahamsen‏ @peidran 20 Dec 2018
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      Replying to @frankmcsherry @glaebhoerl and

      Are you building your libraries to support a particular project you can talk about?

      1:28 PM - 20 Dec 2018 from Seattle, WA
      1 reply 0 retweets 0 likes
        1. New conversation
        2. Frank McSherry‏ @frankmcsherry 20 Dec 2018
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          Replying to @peidran @glaebhoerl and

          For the moment at least, they are the projects themselves.

          1 reply 0 retweets 0 likes
        3. Brandon Bloom‏ @BrandonBloom 20 Dec 2018
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          Replying to @frankmcsherry @peidran and

          Thanks to all in this thread. @frankmcsherry: I'm definitely going to spend some more time studying your stuff!

          0 replies 0 retweets 3 likes
        4. End of conversation

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