Free Sample
+ Collection
Code Files

Learning Cassandra for Administrators

Learning
Vijay Parthasarathy

Understand the immense capabilities of Cassandra in managing large amounts of data and learn how to ensure that data is always available. This practical, hands-on guide takes you through every stage from installation to performance tuning.
$17.99
$29.99
RRP $17.99
RRP $29.99
eBook
Print + eBook

Want this title & more?

$16.99 p/month

Subscribe to PacktLib

Enjoy full and instant access to over 2000 books and videos – you’ll find everything you need to stay ahead of the curve and make sure you can always get the job done.

Book Details

ISBN 139781782168171
Paperback120 pages

About This Book

  • Install and set up a multi datacenter Cassandra
  • Troubleshoot and tune Cassandra
  • Covers CAP tradeoffs, physical/hardware limitations, and helps you understand the magic
  • Tune your kernel, JVM, to maximize the performance
  • Includes security, monitoring metrics, Hadoop configuration, and query tracing

Who This Book Is For

Learning Cassandra for Administrators is for administrators who manage a large deployment of Cassandra clusters, and support engineers who would like to install the monitoring tools and who are also in charge of making sure the cluster stays the same, ensuring that the service is always up and running.

Table of Contents

Chapter 1: Basic Concepts and Architecture
CAP theorem
BigTable / Log-structured data model
Partitioning and replication Dynamo style
Summary
Chapter 2: Installing Cassandra
Memory, CPU, and network requirements
Cassandra in-memory data structures
Downloading/choosing binaries to install
Cassandra on EC2 instance
Create a keyspace
Summary
Chapter 3: Inserting Data and Manipulating Data
Querying data
Tracing
Data modeling
Summary
Chapter 4: Administration and Large Deployments
Manual repair
Bootstrapping
Monitoring tools
Summary
Chapter 5: Performance Tuning
vmstat
iostat
dstat
Garbage collection
Tuning memtables
Compaction tuning
Compression
Summary
Chapter 6: Analytics
Hadoop integration
Summary
Chapter 7: Security and Troubleshooting
Encryption
Audit
Things to look out for
Summary

What You Will Learn

  • Explore trade-offs and basic concepts
  • Install Cassandra, choose hardware, and configure the cluster
  • Query and insert data and CQL
  • Get to grips with performance tuning
  • Find out about Hadoop integration and evolving apps
  • Discover anti-patterns and how to secure your cluster

In Detail

Apache Cassandra is a massively scalable open source NoSQL database. Cassandra is perfect for managing large amounts of structured, semi-structured, and unstructured data across multiple data centers and the cloud. Cassandra delivers linear scalability and performance across many commodity servers with no single point of failure.

This book starts by explaining how to derive the solution, basic concepts, and CAP theorem. You will learn how to install and configure a Cassandra cluster as well as tune the cluster for performance. After reading the book, you should be able to understand why the system works in a particular way, and you will also be able to find patterns (and/or use cases) and anti-patterns which would potentially cause performance degradation. Furthermore, the book explains how to configure Hadoop, vnodes, multi-DC clusters, enabling trace, enabling various security features, and querying data from Cassandra.

Starting with explaining about the trade-offs, we gradually learn about setting up and configuring high performance clusters. This book will help the administrators understand the system better by understanding various components in Cassandra’s architecture and hence be more productive in operating the cluster. This book talks about the use cases and problems, anti-patterns, and potential practical solutions as opposed to raw techniques. You will learn about kernel and JVM tuning parameters that can be adjusted to get the maximum use out of system resources.

Authors

Read More