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Learning Apache Spark 2

You're reading from   Learning Apache Spark 2 A beginner's guide to real-time Big Data processing using the Apache Spark framework

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Length 356 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Abbasi Muhammad Asif Abbasi
Author Profile Icon Muhammad Asif Abbasi
Muhammad Asif Abbasi
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Table of Contents (12) Chapters Close

Preface 1. Architecture and Installation FREE CHAPTER 2. Transformations and Actions with Spark RDDs 3. ETL with Spark 4. Spark SQL 5. Spark Streaming 6. Machine Learning with Spark 7. GraphX 8. Operating in Clustered Mode 9. Building a Recommendation System 10. Customer Churn Prediction Theres More with Spark

Using the Cluster Launch Scripts to Start a Standalone Cluster


We have seen how easy it was to launch a cluster with minimal effort. But, the cluster that we had set up was a relatively smallish cluster with only 5 worker nodes. Imagine, setting up a 5000 nodes cluster following the above steps. This will neither be easy nor maintainable especially in terms of adding/removing nodes from this cluster. Spark therefore provides options by which you can make sure you don't have to manually perform such configuration.

Before running any scripts you have to make sure that the workers are accessible from the master via SSH. You will need to provide either of the following:

  1. Password-less ssh between the master and the workers.
  2. Set SPARK_SSH_FOREGROUND option - Serially provide password for each worker.

In addition to the SSH configuration, you will need to create a configuration file in the conf directory called slaves, where you will enter the names of nodes which should be used as workers...

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