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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
Languages
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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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Toc

Table of Contents (14) 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 A. Peeking Under the Hood B. Authentication and Authorization Index

Paginating over rows in a partition

As our users create more and more status updates, we'll build pagination functionality into MyStatus so that the information on the page doesn't overwhelm readers. For the sake of convenience, let's say that each page will only contain three status updates.

To retrieve the first page, we'll use the LIMIT keyword that we first encountered in Chapter 2, The First Table:

SELECT "id", DATEOF("id"), "body"
FROM "user_status_updates"
WHERE "username" = 'alice'
LIMIT 3;

As expected, Cassandra will give us the first three rows in ascending order of id:

Paginating over rows in a partition

Now, we'll ask for the collection of rows where the id value is strictly greater than the last id we saw:

SELECT "id", DATEOF("id"), "body"
FROM "user_status_updates"
WHERE "username" = 'alice'
  AND id > 3f9df710-e8f7-11e3-9211-5f98e903bf02
LIMIT 3;

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