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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)
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Mastering Apache Cassandra - Second Edition

Mastering Apache Cassandra - Second Edition

4.6 (10)
By: Nishant Neeraj

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
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. Quick Start
1. Quick Start
Introduction to Cassandra
A brief introduction to a data model
Installing Cassandra locally
Cassandra in action
Summary
2
2. Cassandra Architecture
2. Cassandra Architecture
Problems in the RDBMS world
Enter NoSQL
Cassandra
Understanding the architecture of Cassandra
Summary
3
3. Effective CQL
3. Effective CQL
The Cassandra data model
CQL shell commands
Summary
4
4. Deploying a Cluster
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4. Deploying a Cluster
Evaluating requirements
System configurations
The required software
Installing Cassandra
Configuring a Cassandra cluster
Authorization and authentication
Summary
5
5. Performance Tuning
5. Performance Tuning
Stress testing
Performance tuning
Summary
6
6. Managing a Cluster – Scaling, Node Repair, and Backup
6. Managing a Cluster – Scaling, Node Repair, and Backup
Scaling
Replacing a node
Backup and restoration
Load balancing
DataStax OpsCenter – managing large clusters
Summary
7
7. Monitoring
7. Monitoring
Cassandra's JMX interface
Cassandra's nodetool utility
DataStax OpsCenter
Nagios – monitoring and notification
Cassandra log
Troubleshooting
Summary
8
8. Integration with Hadoop
8. Integration with Hadoop
Using Hadoop
Hadoop and Cassandra
Cassandra with Hadoop MapReduce
Cassandra and Hadoop in action
Hadoop in a Cassandra cluster
Integration with Pig
Summary
9
Index
Index

Evaluating requirements

It is generally a good idea to examine what kind of load Cassandra is going to face when deployed on a production server. It does not have to be accurate, but some sense of traffic can give a little more clarity to what you expect from Cassandra (criteria for load tests), whether you really need Cassandra (the halo effect), or whether you can bear all the expenses that a running Cassandra cluster can incur on a daily basis (the value proposition). Let's see how to choose various hardware specifications for a specific need.

Hard disk capacity

A rough disk space calculation of the user that will be stored in Cassandra involves adding up data stored in four data components on disk: commit logs, SSTable, an index file, and a bloom filter. When the incoming data is compared with the data on the disk, you need to take account of the database overheads associated with each type of data. The data on disk can be about two times as large as raw data. Disk usage can be...

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