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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, you're off to a running start with your MyStatus application, having created our first table, inserted data into it, and learned a few ways to retrieve that data. We developed a model for how Cassandra tables are structured and took a deep dive into Cassandra's type system.

We now have experience with the INSERT and SELECT statements, two of the core operations in CQL. You learned that primary keys, at least the ones we've seen so far, determine the order in which rows are returned, but that ordering is opaque to an application. We can only rely on it being consistent. We saw some of the limitations of simple tables in Cassandra, and we know that the types of multirow retrieval we know so far aren't the most efficient.In Chapter 3, Organizing Related Data, we'll introduce a new way to structure a table that lets us overcome many of the limitations we encountered...

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