Re: ML-based indexing ("The Case for Learned Index Structures", apaper from Google)

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От Oleg Bartunov
Тема Re: ML-based indexing ("The Case for Learned Index Structures", apaper from Google)
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Msg-id CAF4Au4x1VFpytRKkkeRmaxbiyk-xomNZm+V3+xcksNrCDY+p-w@mail.gmail.com
обсуждение исходный текст
Ответ на ML-based indexing ("The Case for Learned Index Structures", a paperfrom Google)  (Nikolay Samokhvalov <samokhvalov@gmail.com>)
Ответы Re: ML-based indexing ("The Case for Learned Index Structures", apaper from Google)  (Oleg Ivanov <o.ivanov@postgrespro.ru>)
Список pgsql-hackers
On Mon, Dec 11, 2017 at 11:11 PM, Nikolay Samokhvalov
<samokhvalov@gmail.com> wrote:
> Very interesting read: https://arxiv.org/abs/1712.01208
>
> HN discussion: https://news.ycombinator.com/item?id=15894896
>
> Some of the comments (from Twitter
> https://twitter.com/schrockn/status/940037656494317568): "Jeff Dean and co
> at GOOG just released a paper showing how machine-learned indexes can
> replace B-Trees, Hash Indexes, and Bloom Filters. Execute 3x faster than
> B-Trees, 10-100x less space. Executes on GPU, which are getting faster
> unlike CPU. Amazing."
>
> Can those ideas be applied to Postgres in its current state? Or it's not
> really down-to-earth?

Oleg made some analysis of the paper.


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