Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
APACHE KARAF COOKBOOK

You're reading from   APACHE KARAF COOKBOOK Over 60 recipes to help you get the most out of your Apache Karaf deployments

Arrow left icon
Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781783985081
Length 260 pages
Edition 1st Edition
Tools
Arrow right icon
Toc

Table of Contents (12) Chapters Close

Preface 1. Apache Karaf for System Builders FREE CHAPTER 2. Making Smart Routers with Apache Camel 3. Deploying a Message Broker with Apache ActiveMQ 4. Hosting a Web Server with Pax Web 5. Hosting Web Services with Apache CXF 6. Distributing a Clustered Container with Apache Karaf Cellar 7. Providing a Persistence Layer with Apache Aries and OpenJPA 8. Providing a Big Data Integration Layer with Apache Cassandra 9. Providing a Big Data Integration Layer with Apache Hadoop 10. Testing Apache Karaf with Pax Exam Index

Modeling data with Apache Cassandra


Before we start writing a bundle using Apache Cassandra, let's look a little at how we model data in Cassandra using CQL 3.x.

Getting ready

Let's define a very simple schema, and as we are using CQL, Cassandra isn't schema-less from a client perspective even if the data storage internally works slightly differently.

We can reuse the RecipeService class from the previous chapter. We will just modify it slightly for our Cassandra integration. The original entity (and by virtue of using JPA) provides a basic table definition, which is as follows:

@Id
@Column(nullable = false)
private String title;

@Column(length=10000)
private String ingredients;

So, we have two fields in this table: an ID field named title and a data field we call ingredients for consistency and simplicity.

First, we need a place to store this. Cassandra partitions data in keyspaces at the top level. Think of a keyspace as a map containing tables and their rules.

How to do it…

We'll need to perform...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime