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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

Looking up follow relationships

Now that we've studiously designed our follow tables to efficiently support our application's data access patterns, let's do some data access. To start, we'll want to give alice an interface to manage the list of users she follows; this interface will, of course, need to show her who she currently follows:

  SELECT "followed_username" 
FROM "user_outbound_follows"
WHERE "follower_username" = 'alice';

Here, we ask for all of the outbound follows in the partition of alice: an efficient query since it only looks up a single partition's worth of data. As expected, we see that alice follows bob and carol:

Note that the usernames returned are in alphabetical order: this is not a coincidence. Since followed_username is the clustering column in the user_outbound_follows table, the rows are stored in string order of the...

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