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  • Book Overview & Buying Mastering Apache Cassandra - Second Edition
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Mastering Apache Cassandra - Second Edition

Mastering Apache Cassandra - Second Edition

By : Nishant Neeraj
4.6 (10)
Buy this Book
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Mastering Apache Cassandra - Second Edition

Mastering Apache Cassandra - Second Edition

4.6 (10)
By: Nishant Neeraj
Buy this Book

Overview of this book

The book is aimed at intermediate developers with an understanding of core database concepts who want to become a master at implementing Cassandra for their application.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Quick Start
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1. Quick Start
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Introduction to Cassandra
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A brief introduction to a data model
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Installing Cassandra locally
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Cassandra in action
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Summary
2
2. Cassandra Architecture
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2. Cassandra Architecture
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Problems in the RDBMS world
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Enter NoSQL
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Cassandra
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Understanding the architecture of Cassandra
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Summary
3
3. Effective CQL
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3. Effective CQL
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The Cassandra data model
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CQL shell commands
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Summary
4
4. Deploying a Cluster
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4. Deploying a Cluster
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Evaluating requirements
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System configurations
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The required software
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Installing Cassandra
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Configuring a Cassandra cluster
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Authorization and authentication
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Summary
5
5. Performance Tuning
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5. Performance Tuning
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Stress testing
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Performance tuning
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Summary
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6. Managing a Cluster – Scaling, Node Repair, and Backup
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6. Managing a Cluster – Scaling, Node Repair, and Backup
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Scaling
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Replacing a node
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Backup and restoration
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Load balancing
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DataStax OpsCenter – managing large clusters
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Summary
7
7. Monitoring
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7. Monitoring
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Cassandra's JMX interface
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Cassandra's nodetool utility
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DataStax OpsCenter
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Nagios – monitoring and notification
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Cassandra log
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Troubleshooting
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Summary
8
8. Integration with Hadoop
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8. Integration with Hadoop
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Using Hadoop
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Hadoop and Cassandra
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Cassandra with Hadoop MapReduce
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Cassandra and Hadoop in action
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Hadoop in a Cassandra cluster
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Integration with Pig
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Summary
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Index
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Index

Chapter 5. Performance Tuning

Cassandra is all about speed—quick installation, fast reads, and fast writes. You got your application optimized, minimized the network trips by batching, and denormalized the data to get maximum information in one request. However, the performance is not what you read over the Web and in various blogs. You start to doubt whether the claims actually measure. Hold on! You may need to tune things up.

This chapter will discuss how to get a sense of a Cassandra cluster's capacity and have a performance number handy to back up our claims. It then dives into the various settings that affect read and write throughput, a couple of JVM tuning parameters, and finally, a short discussion on how scaling systems horizontally and vertically can improve the performance.

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Mastering Apache Cassandra - Second Edition
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