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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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Concepts
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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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Toc

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

Recording discrete analytics observations

Let's say we want to keep very close track of how many times our user's status updates are viewed by someone else. Status updates may be viewed on the MyStatus website, or using our mobile app, or via a third-party app using our API. We'll want to track that, as well as which status update was viewed and when. To do this, let's create a table to store analytics observations:

CREATE TABLE "status_update_views" ( 
"status_update_username" text,
"status_update_id" timeuuid,
"observed_at" timeuuid,
"client_type" text,
PRIMARY KEY (
("status_update_username", "status_update_id"),
"observed_at"
)
);

In this new table, we store a partition for each individual status update, with the full primary key of the status update serving as the partition key for our table...

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