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Optimizing Hadoop for MapReduce

Optimizing Hadoop for MapReduce

By : Khaled Tannir
4.3 (4)
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Optimizing Hadoop for MapReduce

Optimizing Hadoop for MapReduce

4.3 (4)
By: Khaled Tannir
Buy this Book

Overview of this book

Table of Contents (15 chapters)
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Optimizing Hadoop for MapReduce
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Optimizing Hadoop for MapReduce
Credits
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Credits
About the Author
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About the Author
Acknowledgments
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Acknowledgments
About the Reviewers
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About the Reviewers
www.PacktPub.com
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www.PacktPub.com
Preface
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Preface
Lock Free Chapter
1
Understanding Hadoop MapReduce
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Understanding Hadoop MapReduce
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The MapReduce model
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An overview of Hadoop MapReduce
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Hadoop MapReduce internals
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Factors affecting the performance of MapReduce
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Summary
2
An Overview of the Hadoop Parameters
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An Overview of the Hadoop Parameters
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Investigating the Hadoop parameters
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Hadoop MapReduce metrics
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Performance monitoring tools
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Summary
3
Detecting System Bottlenecks
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Detecting System Bottlenecks
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Performance tuning
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Creating a performance baseline
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Identifying resource bottlenecks
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Summary
4
Identifying Resource Weaknesses
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Identifying Resource Weaknesses
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Identifying cluster weakness
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Sizing your Hadoop cluster
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Configuring your cluster correctly
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Summary
5
Enhancing Map and Reduce Tasks
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Enhancing Map and Reduce Tasks
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Enhancing map tasks
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Enhancing reduce tasks
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Tuning map and reduce parameters
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Summary
6
Optimizing MapReduce Tasks
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Optimizing MapReduce Tasks
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Using Combiners
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Using compression
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Using appropriate Writable types
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Reusing types smartly
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Optimizing mappers and reducers code
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Summary
7
Best Practices and Recommendations
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Best Practices and Recommendations
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Hardware tuning and OS recommendations
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Hadoop best practices and recommendations
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Summary
1
Index
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Index

Chapter 1. Understanding Hadoop MapReduce

MapReduce, the popular data-intensive distributed computing model is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation.

Hadoop is the most popular open source Java implementation of the Google's MapReduce programming model. It is already being used for large-scale data analysis tasks by many companies and is often used for jobs where low response time is critical.

Before going deep into MapReduce programming and Hadoop performance tuning, we will review the MapReduce model basics and learn about factors that affect Hadoop's performance.

In this chapter, we will cover the following:

  • The MapReduce model

  • An overview of Hadoop MapReduce

  • How MapReduce works internally

  • Factors that affect MapReduce performance

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