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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've explored data access patterns for compound primary key tables, and used our new knowledge to expose a paginated view of a user's most recent status updates. We discussed how to query range slices of clustering column values, and how to reverse the clustering order at both table creation time and query time. We reinforced our understanding of the CQL SELECT queries by performing the intricate task of paginating over all the rows in our status updates table, and then applied our new compound primary key toolkit to a totally different problem, the autocompletion of hashtags.

In Chapter 5, Establishing Relationships, we will apply our techniques for compound primary key data modeling to the task of describing relationships that do not have the clear parent-child structure of users and status updates. We'll also go beyond primary key-based data access, exploring the use of secondary indexes to look up data using any column we wish.

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