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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started 2. Downloading and Setup FREE CHAPTER 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Installing Apache Spark


To use Apache Spark, first install it. The process is very easy, because its requirements are not the traditional Hadoop ones that require Apache Zookeeper and Hadoop HDFS.

Apache spark is able to work in a standalone node installation that is similar to an Elasticsearch one.

Getting ready

You need a Java Virtual Machine installed: generally version 8.x or above is used.

How to do it...

For installing Apache Spark, we will perform the following steps:

  1. We will download a binary distribution from at http://spark.apache.org/downloads.html. For a generic usage, I suggest you to download a standard version via:

            wget http://d3kbcqa49mib13.cloudfront.net/spark-2.1.0-bin-  
            hadoop2.7.tgz
    
  2. Now we can extract the Spark distribution via:

            tar xfvz spark-2.1.0-bin-hadoop2.7.tgz
    
  3. Now, we can test if Apache Spark is working by executing a test:

            cd spark-2.1.0-bin-hadoop2.7 
            ./bin/run-example SparkPi 
    
  4. The result will be similar...

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