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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
2
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
3
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
4
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
7
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

Allowing filtering

Cassandra, by default, only allows those queries which don't require any server-side filtering. Cassandra does this to avoid performance hits that might be caused due to these queries. Let's take the example of the employee table, which stores employee salary details department-wise:

CREATE TABLE employee ( emp_id text PRIMARY KEY, first_name text, last_name text, department text,  salary int )
CREATE INDEX emp_salary ON employee(salary)
CREATE INDEX emp_department ON employee(department)

Now, if you want to get the details of all the employees in the sales department with a salary of more than 100000, you might want to run a query as follows:

SELECT first_name, last_nameFROM employee WHERE department = 'sales' AND salary > 100000 //Won't be allowed by cassandra

But this query will not be allowed by Cassandra as, in this case, even if there are very few employees who match this criterion, Cassandra will have to filter each row of the sales department to check if it's greater...

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Apache Cassandra Essentials
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