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Scala Data Analysis Cookbook

You're reading from  Scala Data Analysis Cookbook

Product type Book
Published in Oct 2015
Publisher
ISBN-13 9781784396749
Pages 254 pages
Edition 1st Edition
Languages
Author (1):
Arun Manivannan Arun Manivannan
Profile icon Arun Manivannan

Table of Contents (14) Chapters

Scala Data Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with Breeze 2. Getting Started with Apache Spark DataFrames 3. Loading and Preparing Data – DataFrame 4. Data Visualization 5. Learning from Data 6. Scaling Up 7. Going Further Index

Running the Spark Job on Mesos (local)


Unlike the Spark standalone cluster manager, which can run only Spark apps, Mesos is a cluster manager that can run a wide variety of applications, including Python, Ruby, or Java EE applications. It can also run Spark jobs. In fact, it is one of the popular go-to cluster managers for Spark. In this recipe, we'll see how to deploy our Spark application on the Mesos cluster. The prerequisite for this recipe is a running HDFS cluster.

How to do it...

Running a Spark job on Mesos is very similar to running it against the standalone cluster. It involves the following steps:

  1. Installing Mesos.

  2. Starting the Mesos master and slave.

  3. Uploading the Spark binary package and the dataset to HDFS.

  4. Running the job.

Installing Mesos

Download Mesos on the local machine by following the instructions at http://mesos.apache.org/gettingstarted/.

After you have installed the OS-specific tools needed to build Mesos, you have to run the configure and make commands (with root privileges...

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