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  • Book Overview & Buying Optimizing Hadoop for MapReduce
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Optimizing Hadoop for MapReduce

Optimizing Hadoop for MapReduce

By : Khaled Tannir
4.3 (4)
Buy this Book
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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
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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 4. Identifying Resource Weaknesses

Every Hadoop cluster consists of different machines and different hardware. This means that each Hadoop installation should be optimized for its unique cluster setup. To ensure that your Hadoop is performing jobs efficiently, you need to check your cluster and identify potential bottlenecks in order to eliminate them.

This chapter presents some scenarios and techniques to identify cluster weaknesses. We will then introduce some formulas that will help to determine an optimal configuration for NameNodes and DataNodes. After that, you will learn how to configure your cluster correctly and how to determine the number of mappers and reducers for your cluster.

In this chapter, you will learn the following:

  • To check the cluster's weakness based on some scenarios

  • To identify CPU contention and inappropriate number of mappers and reducers

  • To identify massive I/O and network traffic

  • To size your cluster and define its sizing

  • To configure your cluster correctly

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