Clojurians Log v2

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set the channel description: Making spark loves Clojure

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If I can help with Spark 2 support, ask!

Cool, thanks 🙂

You’re welcome

hello 🙂

great idea for having a channel 👍

what actually was the second example that didn’t work, was it the one with (range 100) followed by (filter odd?) and (map inc) @cgore ?

Yup, that one.

hum, seems to work on my laptop from the repl running against a local spark

huh

how are you running the example?

It was just in a lein repl

is there ay error you could copy&paste? 🙂

hum

I downloaded spark-2.1.0-bin-hadoop2.7 and ran sbin/start-all.sh (using a Mac here)

I’ll have to retry it, maybe it was just some weirdness.

stale repl could be it, I was passing :reload flag to require while hacking on powderkeg,core: (require '[powderkeg.core :as keg] :reload)

although that reloads only powderkeg.core, not other namespaces that might have changed

there’s :reload-allfor that

although if you have a running context while your reload, reloaded fns may not work against the ctx and rdd defined before the relaod

tried submitting uberjar, seems to work too on my machine

although client code is the that get’s reloaded

*sc* being dynamic is wishful thinking

not powderkeg itself

🙂

multiple spark contexts from a single vm doesn’t work too well

yup

apropo, was just in a local meetup and met a colleague that is porting Scala app that uses MLlib, ALS specifically

Haven’t looked into MLlib. What would be the challenges?

DataFrame support, though haven't looked at the code that much, have been on parental leave past two months :)

How old is s/he?

I started sketching stuff for data frames but it relies on spec

6 year old and a 1 year 4 month old boys :)

saw that on the Github issue and pointed out him to it

we'r actually using ALS rdd based api, reading from redshift and writing back and to another db

but MLlib itself is moving away from RDD into DataFrame, which I guess have rdd behind the scenes somewhere

don't actually know how big of an issue that is but I guess the sweet spot would be to feed DataFrames from Clojure data structures

http://spark.apache.org/docs/latest/ml-guide.html, "The MLlib RDD-based API is now in maintenance mode."

had another look at https://github.com/HCADatalab/powderkeg/issues/2 and the spec + conform idea feels like a right direction

have to go to sleep now though :)