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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

How is Spark being used?

Matei Zaharia is the creator of Apache Spark project and co-founder of DataBricks, the company which was formed by the creators of Apache Spark. Matei in his keynote at the Spark summit in Europe during fall of 2015 mentioned some key metrics on how Spark is being used in various runtime environments. The numbers were a bit surprising to me, as I had thought Spark on YARN would have higher numbers than what was presented. Here are the key figures:

  • Spark in Standalone mode - 48%
  • Spark on YARN - 40%
  • Spark on MESOS - 11%

As we can see from the numbers, almost 90% of Apache Spark installations are in standalone mode or on YARN. When Spark is being configured on YARN, we can make an assumption that the organization has chosen Hadoop as their data operating system, and are planning to move their data onto Hadoop, which means our primary source of data ingest might be Hive, HDFS, HBase, or other No SQL systems.

When Apache Spark is installed in standalone mode, the possibility...

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