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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 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

Retrieving status updates for a specific time range


Having explored the limits of the WHERE keyword in CQL, let's return to the user_status_updates table. Suppose we'd like to build an "archive" feature for MyStatus that displays all of the user's status updates for a requested month. In CQL terms, we want to select a range of clustering columns; for instance, let's get back all of alice's status updates created in May 2014:

SELECT "id", DATEOF("id"), "body"
FROM "user_status_updates"
WHERE "username" = 'alice'
AND "id" >= MINTIMEUUID('2014-05-01')
AND "id" <= MAXTIMEUUID('2014-05-31');

Before diving into the mechanics of this query, we can confirm that the only status update is the one with a UUID that was provided in the previous chapter, and was generated on May 29:

Creating time UUID ranges

In the preceding query, we encounter two new CQL functions: MINTIMEUUID and MAXTIMEUUID. These functions form perhaps the most powerful components of Cassandra's toolkit for working with timestamp...

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