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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

A simple query

To begin with, we will create a cluster object, connect to Cassandra and execute a simple query. We will also fetch cluster metadata. I would recommend using the single-node cluster we launched in Chapter 1Getting Up and Running with Cassandra, rather than the 3-node cluster from the previous chapter. This is because the single-node cluster has all the tables and data required for this chapter. Before we begin, you should familiarize yourselves with any of the free IDEs available to edit, compile, and run Java code.

To compile and run Java programs from the command line, you can look at this article: http://introcs.cs.princeton.edu/java/15inout/linux-cmd.html.

There are multiple IDEs available, which make it easier to compile and run programs. Some of them are as follows:

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