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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
Languages
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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

Viewing a table schema in cqlsh


In this chapter, we'll be working with the users table, which we haven't had much interaction with since the early chapters. Before we start making changes to the users table, it would be helpful to have a reminder of what its schema looks like.

One option would be to simply issue a SELECT statement and look at the row headers; however, cqlsh gives us a more elegant way to view the schema, namely, the DESCRIBE TABLE statement:

DESCRIBE TABLE "users";

The output is a CREATE TABLE statement showing the table's schema as well as all properties for the table:

The part of the output beginning with WITH tells us the table properties for the users table; in this case, the properties are all set to their default values. We can ignore this part of the output as working with table properties goes beyond the scope of this book.

The important part of the output is at the top, listing the columns in the table and telling us which comprise the primary key. We're now reminded...

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