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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

The structure of a simple primary key table

To start with, let's have a look at the users table. To do this, we'll start with the LIST command that prints all the data in a given column family:

LIST users;

This will print out a long list of information, grouped by RowKey. For brevity, the first couple of RowKey groups appear as follows:

The structure of a simple primary key table

Although we've never seen it structured like this before, the data here should look pretty familiar. The RowKey headers correspond to the username column in our CQL3 table structure. Within each RowKey is a collection of tuples, each tuple containing a name, a value, and a timestamp. We will call these tuple cells, in keeping with the terminology used in the cassandra-cli interface itself.

Note

You might encounter the word column being used for the name-value-timestamp tuples we are exploring here. Not only does that terminology invite confusion with the concept of a column in CQL3, but it's also a singularly misleading way to describe the...

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