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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

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:

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.

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...
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