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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

Refining our mental model

In the previous chapter, we began to develop a mental model of a Cassandra table that looked like a key-value store where each value is a collection of columns with values. Now that we have seen compound primary keys, we can refine that mental model to take into account the more complex structures we now know how to build, as follows:

We can envision the user_status_updates table as a more robust key-value structure. Our keys are still usernames, but the values are now ordered collections of rows, both identified and ordered by the id clustering column. As with our earlier model, each partition key's data stands alone; to get data from multiple partitions, we have to go looking in multiple places.

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