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  • Book Overview & Buying Apache Cassandra Essentials
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Apache Cassandra Essentials

Apache Cassandra Essentials

By : Nitin Padalia
4.5 (2)
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Apache Cassandra Essentials

Apache Cassandra Essentials

4.5 (2)
By: Nitin Padalia
Buy this Book

Overview of this book

Apache Cassandra Essentials takes you step-by-step from from the basics of installation to advanced installation options and database design techniques. It gives you all the information you need to effectively design a well distributed and high performance database. You’ll get to know about the steps that are performed by a Cassandra node when you execute a read/write query, which is essential to properly maintain of a Cassandra cluster and to debug any issues. Next, you’ll discover how to integrate a Cassandra driver in your applications and perform read/write operations. Finally, you’ll learn about the various tools provided by Cassandra for serviceability aspects such as logging, metrics, backup, and recovery.
Table of Contents (9 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. Getting Your Cassandra Cluster Ready
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1. Getting Your Cassandra Cluster Ready
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Installation
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The installation layout
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Configuration files
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Running a Cassandra server
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Summary
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2. An Architectural Overview
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2. An Architectural Overview
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Background
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Cassandra cluster overview
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Data distribution
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Replication
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SimpleStrategy
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NetworkTopologyStrategy
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Virtual nodes
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Adding nodes to our cluster
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Create keyspace and column family
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Summary
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3. Creating Database and Schema
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3. Creating Database and Schema
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A database and schema
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Data types
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Secondary indexes
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Allowing filtering
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TTL
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Conditional querying
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Write operations
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Lightweight transactions
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Batch statements
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Summary
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4. Read and Write – Behind the Scenes
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4. Read and Write – Behind the Scenes
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Write operations
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Read operations
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Delete operations
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Data consistency
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Tracing Cassandra queries
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Summary
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5. Writing Your Cassandra Client
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5. Writing Your Cassandra Client
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Connecting to a Cassandra cluster
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Reading and writing to the Cassandra cluster
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Mapping API
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Tracing Cassandra queries using Java driver
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Summary
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6. Monitoring and Tuning a Cassandra Cluster
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6. Monitoring and Tuning a Cassandra Cluster
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Monitoring a Cassandra cluster
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Tuning Cassandra nodes
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Summary
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7. Backup and Restore
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7. Backup and Restore
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Taking backup of a Casandra cluster
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Restoring data to Cassandra
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Removing nodes from Cassandra cluster
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Adding nodes to a Cassandra cluster
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Replacing dead nodes in a cluster
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Summary
8
Index
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Index

Background

Cassandra's design was based on Google's Bigtable and Amazon's DynamoDB, and it was developed at Facebook. Later on, it was open sourced to Apache Foundation. It is a NoSQL nonrelational database. While working with Cassandra, we need not worry about normalization of our tables, as Cassandra promotes denormalization of your database tables. In Cassandra, the database schema is designed based on the data that you would be reading from or writing to Cassandra.

Cassandra focuses on availability and partition tolerance among consistency, availability, and partition tolerance of the CAP theorem by Brewer. The CAP theorem states that, among consistency, availability, and partition tolerance, you can pick only two at a time. Here, consistency means when you read from or write to any node of the cluster, you should get the same up-to-date data. Availability refers to the fact that we should be able to access the cluster even if some node in the cluster is down, and partition tolerance...

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Tech Concepts
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Programming languages
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Apache Cassandra Essentials
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