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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Managing fault-tolerant, scalable data with high performance

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Product type Paperback
Published in Apr 2017
Publisher
ISBN-13 9781787127296
Length 360 pages
Edition 2nd Edition
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Author (1):
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Sandeep Yarabarla Sandeep Yarabarla
Author Profile Icon Sandeep Yarabarla
Sandeep Yarabarla
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Table of Contents (15) Chapters Close

Preface 1. Getting Up and Running with Cassandra FREE CHAPTER 2. The First Table 3. Organizing Related Data 4. Beyond Key-Value Lookup 5. Establishing Relationships 6. Denormalizing Data for Maximum Performance 7. Expanding Your Data Model 8. Collections, Tuples, and User-Defined Types 9. Aggregating Time-Series Data 10. How Cassandra Distributes Data 11. Cassandra Multi-Node Cluster 12. Application Development Using the Java Driver 13. Peeking under the Hood 14. Authentication and Authorization

Summary

In this chapter, we learned how to develop applications using the Java driver to communicate with Cassandra. Throughout the chapter, we studied the various classes that are used to create a connection with a Cassandra cluster and execute queries. We looked at a lot of helper methods that can be used to configure a Cassandra connection and query execution.

To begin with, we started by using the Cluster API to create a Cluster object, which is the entry point to the Cassandra cluster. We used methods to set the initial contact points to create a Cassandra cluster connection and return an instance of the Cluster object. We then proceeded with creating an instance of Session, which is used to execute queries. Executed queries return the results as a ResultSet object. A ResultSet object implements Iterable <Row>, which can be looped over to fetch individual rows. Then, we wrote a couple of programs...

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