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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

Anatomy of a compound primary key


At this point, it's clear that there's some nuance in the compound primary key that we're missing. Both the username column and the id column affect the order in which rows are returned; however, while the actual ordering of username is opaque, the ordering of id is meaningfully related to the information encoded in the id column.

In the lexicon of Cassandra, username is a partition key. A table's partition key groups rows together into logically related bundles. In the case of our MyStatus application, each user's timeline is a self-contained data structure, so partitioning the table by user is a sound strategy.

Note

As a general rule, you should endeavor to only query one partition at a time for any core data access your application does. Cassandra stores the rows in each partition together, so queries within a partition are very efficient. Queries across multiple partitions, on the other hand, are expensive and should be avoided.

We call the id column a clustering...

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