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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

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...

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