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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
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
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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

Backup and restoration

Cassandra provides a simple backup tool called nodetool snapshot to take incremental snapshots and back up of data. The snapshot command flushes MemTables to the disk and creates a backup by creating a hard link to SSTables (SSTables are immutable).

Note

Hard link is a directory entry associated with file data on a filesystem. It can roughly be assumed as an alias to a file that refers to the location where data is stored. It is unlike a soft link that just aliases filenames, not the actual underlying data.

These hard links stay under the data directory, which is placed under <keyspace>/<column_family>/snapshots.

The general plan to back up a cluster roughly follows these steps:

  1. Take a snapshot of each node one by one. The snapshot command provides an option to specify whether to back up the entire keyspace or just the selected column families.

  2. Taking a snapshot is just half of the story. To be able to restore the database at a later point, you need to move these...

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