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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Build an efficient, scalable, fault-tolerant, and highly-available data layer into your application using Cassandra

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Product type Paperback
Published in Feb 2015
Publisher
ISBN-13 9781783989201
Length 246 pages
Edition 1st Edition
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Author (1):
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Matthew Brown Matthew Brown
Author Profile Icon Matthew Brown
Matthew Brown
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Table of Contents (14) Chapters Close

Preface 1. Getting Up and Running with Cassandra 2. The First Table FREE CHAPTER 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 A. Peeking Under the Hood B. Authentication and Authorization Index

Looking up rows by partition

The core reading experience of the MyStatus application will be an interface to read a given user's status updates. In order to do this, we need to be able to retrieve status updates for a given user from the user_status_updates table. As you might expect, this follows naturally from the CQL syntax we've seen in previous chapters:

SELECT * FROM "user_status_updates"
WHERE "username" = 'alice';

Previously, we've used the WHERE keyword to specify an exact value for a full primary key. In the preceding query, we only specify the partition key part of the primary key, which allows us to retrieve only those rows that we've asked for the partition:

Looking up rows by partition

In the results, we only see the rows whose username is alice. To emphasize what we discussed in the previous chapter, in the Looking up a specific status update section, this is a very efficient query. Cassandra stores all of alice's status updates together, already in...

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