April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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The Spark shell
Spark supports writing programs interactively using the Scala, Python, or R REPL (that is, the Read-Eval-Print-Loop, or interactive shell). The shell provides instant feedback as we enter code, as this code is immediately evaluated. In the Scala shell, the return result and type is also displayed after a piece of code is run.
To use the Spark shell with Scala, simply run ./bin/spark-shell from the Spark base directory. This will launch the Scala shell and initialize SparkContext, which is available to us as the Scala value, sc. With Spark 2.0, a SparkSession instance in the form of Spark variable is available in the console as well.
Your console output should look similar to the following:
$ ~/work/spark-2.0.0-bin-hadoop2.7/bin/spark-shell ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.