Hi Nirav,
There are a few ways to use Livy: Shared sessions and Batch sessions are 
covered in the REST API docs 
(https://livy.incubator.apache.org/docs/latest/rest-api.html) and GetHue.com 
wrote some cool articles.  I created a little bash framework for testing out 
some example code I found at GetHue here:  
https://bitbucket.org/harschware/livy-shared-rdd/src/master/    Pointers to the 
articles are in the README.  Livy also has a programmatic API you’ve probably 
seen already ( 
https://livy.incubator.apache.org/docs/latest/programmatic-api.html )

With the shared session type “spark” the code that you execute with the Livy 
REST API is pretty much exactly what you would execute in a spark-shell.  There 
are a lot of examples via Google about running spark-shell and they translate 
well to running in Livy.

HTH,
Tim

From: Nirav Patel <npa...@xactlycorp.com>
Reply-To: "user@livy.incubator.apache.org" <user@livy.incubator.apache.org>
Date: Friday, May 25, 2018 at 11:25 PM
To: "user@livy.incubator.apache.org" <user@livy.incubator.apache.org>
Subject: Spark scala examples

Hi,

Can anyone point me to any spark-scala examples using livy as a spark 
jobserver? I am trying to understand how much existing spark based work (rdd, 
dataframe based transformations) we can leverage when using livy. seems like 
all but it'd be nice to see examples.

Thanks



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