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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

Paginating over multiple partitions


Returning to our original user_status_updates table, we might in certain situations, for an administrative interface, for instance display all of the status updates in the system. In this case, we will certainly want the ability to paginate, as the total collection of status updates will get very large.

As in our previous example, let's use a page size of three. The query for the first page is simple enough:

SELECT * FROM "user_status_updates"
LIMIT 3;

As expected, we'll get back bob's first three status updates:

For the second page, things get a bit more complicated. We know that the last row we retrieved was from bob's partition, but we're not sure if there are any more status updates for bob. In case there are, we will ask for the next page of bob's partition:

SELECT * FROM "user_status_updates"
WHERE "username" = 'bob'
AND id > 3f9e9350-e8f7-11e3-9211-5f98e903bf02;

In this query, we ask for any status updates in bob's partition that have an id that is...

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