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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 2. Transformations and Actions with Spark RDDs FREE CHAPTER 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

Performance tuning

Most of you would have heard of the old adage "Good, Fast, Cheap - Pick any two". That adage is still true, though the scales have shifted slightly with the open source model where the software is free but does need a relevant skillset to make the best use of it. That skillset comes at a cost, and performance tuning is one area where that specialized skillset is a must-have. When you talk about performance tuning, the underlying assumption is that your system is already working, fully functional.

Performance tuning

Figure 11.1: Good - Fast and Cheap

You are not happy with the response rates. However, that does not have to be so all the time. You can take certain key decisions that can help you build a relatively optimized system early on.

So what are the key areas for consideration? Each distributed application has to work with five major computing resources:

  • Network
  • Disk
  • I/O
  • CPU
  • Memory

For an application to perform at its optimum level, it has to make sure it makes the best of all...

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