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Learning Apache Spark 2

You're reading from  Learning Apache Spark 2

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Pages 356 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (18) Chapters

Learning Apache Spark 2
Credits
About the Author
About the Reviewers
www.packtpub.com
Customer Feedback
Preface
1. Architecture and Installation 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 1. Theres More with Spark

Running Spark in YARN

In the previous section, we covered Spark working in a Standalone cluster, and while on-premises deployment on Standalone clusters accounts for 42% of all Spark deployments, Spark deployment on YARN accounts for 36% of all on-premises deployments. These figures were taken from the Apache Spark survey report published by data bricks in June of 2016.

Figure 8.15: YARN deployments - Databricks survey report: Page 10 (Databricks.com)

YARN has been supported since 0.6 release of Apache Spark. In order to run your application on YARN you need to ensure you have the correct configuration files for your Hadoop cluster, and the following environment variables point towards the right location of these files:

  • HADOOP_CONF_DIR
  • YARN_CONF_DIR

These configuration files will be shipped to the YARN cluster and then distributed to all the containers running the application to make sure that they use same configuration.

When you run an application on YARN you have two deployment modes each...

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