This page is not created by, affiliated with, or supported by Slack Technologies, Inc.
2020-08-12
Channels
- # announcements (5)
- # babashka (1)
- # beginners (193)
- # calva (79)
- # cider (18)
- # clara (4)
- # clojure (38)
- # clojure-europe (12)
- # clojure-france (8)
- # clojure-nl (12)
- # clojure-sweden (1)
- # clojure-uk (50)
- # clojurescript (37)
- # conjure (30)
- # cursive (3)
- # data-science (2)
- # datalog (7)
- # datomic (12)
- # events (2)
- # expound (3)
- # figwheel-main (1)
- # fulcro (45)
- # graalvm (1)
- # jobs (1)
- # jobs-discuss (11)
- # luminus (1)
- # malli (5)
- # off-topic (32)
- # reagent (6)
- # reitit (32)
- # shadow-cljs (25)
- # spacemacs (2)
- # sql (22)
- # vim (6)
We have a new post up exploring memory mapping and the new Apache Arrow data format via Clojure and https://github.com/techascent/tech.ml.dataset. A few times in my career I have used memory mapping and found it both simpler and faster than stream-based IO. Using it we can 'load' datasets far larger than physical RAM or load only 1 column/row out of many in a dataset without loading the rest. We hope you enjoy this simple demonstration! https://techascent.com/blog/memory-mapping-arrow.html
👍 37
🚀 6
💯 3
Thanks!