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You're reading from  Apache Spark for Data Science Cookbook

Product typeBook
Published inDec 2016
Publisher
ISBN-139781785880100
Edition1st Edition
Tools
Apache SparkPandas
Concepts
Data Science
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Author (1)
Padma Priya Chitturi
Padma Priya Chitturi
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Padma Priya Chitturi

Padma Priya Chitturi is Analytics Lead at Fractal Analytics Pvt Ltd and has over five years of experience in Big Data processing. Currently, she is part of capability development at Fractal and responsible for solution development for analytical problems across multiple business domains at large scale. Prior to this, she worked for an Airlines product on a real-time processing platform serving one million user requests/sec at Amadeus Software Labs. She has worked on realizing large-scale deep networks (Jeffrey deans work in Google brain) for image classification on the big data platform Spark. She works closely with Big Data technologies such as Spark, Storm, Cassandra and Hadoop. She was an open source contributor to Apache Storm.
Read more about Padma Priya Chitturi

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Pointing to an external Spark Cluster

Running Zeppelin with built-in Spark is all good, but in most of our cases, we'll be executing the Spark jobs initiated by Zeppelin on a cluster of workers. Achieving this is pretty simple: we need to configure Zeppelin to point its Spark master property to an external Spark master URL. Let's take for example a simple and standalone external Spark cluster running on my local machine. Please note that we will have to run Zeppelin on a different port because of the Zeppelin UI port's conflict with the Spark standalone cluster master web UI over 8080.

Let's bring up the Spark Cluster. From inside your Spark source, execute the following:

sbin/start-all.sh

How to do it…

  1. Finally, let's modify conf/interpreter.json and conf/zeppelin-env.sh to point the master property to the host on which the Spark VM is running. In this case, it will be my localhost, with the port being 7077, which is the default master port:

  2. The conf/interpreter.json file looks like the following...

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Apache Spark for Data Science Cookbook
Published in: Dec 2016Publisher: ISBN-13: 9781785880100
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Padma Priya Chitturi

Padma Priya Chitturi is Analytics Lead at Fractal Analytics Pvt Ltd and has over five years of experience in Big Data processing. Currently, she is part of capability development at Fractal and responsible for solution development for analytical problems across multiple business domains at large scale. Prior to this, she worked for an Airlines product on a real-time processing platform serving one million user requests/sec at Amadeus Software Labs. She has worked on realizing large-scale deep networks (Jeffrey deans work in Google brain) for image classification on the big data platform Spark. She works closely with Big Data technologies such as Spark, Storm, Cassandra and Hadoop. She was an open source contributor to Apache Storm.
Read more about Padma Priya Chitturi

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