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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
Languages
Concepts
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Author (1):
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 Yarabarla Yarabarla
Author Profile Icon Yarabarla
Yarabarla
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Table of Contents (14) Chapters Close

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

Chapter 4. Beyond Key-Value Lookup

In the last chapter, we explored a powerful data organization concept in Cassandra - the compound primary key. This allowed us to construct a table for status updates that satisfies two important requirements: related data is grouped together, and records have a built-in ordering within each group. So far, however, we only have two tools for querying data: either retrieve a single row using its full primary key, or retrieve all the rows in a table. In this chapter, we will dive into the more sophisticated queries that are available on tables with clustering columns, and use these queries to build the main reading interface for our MyStatus application. By the end of this chapter, you'll know:

  • How to retrieve all rows within a single partition
  • How to retrieve rows within a range of clustering column values
  • How to paginate over rows in a single partition
  • How to change the order of results
  • How to store rows in descending order of clustering column
  • How to paginate...
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