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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

Creating the users table

Our first table will store basic user account information: username, email, and password. To create the table, fire up the CQL shell (don't forget to use the USE "my_status"; statement if you are starting a fresh session) and enter the following CQL statement:

CREATE TABLE "users" (
  "username" text PRIMARY KEY,
  "email" text,
  "encrypted_password" blob
);

In the above statement, we created a new table called users, which has three columns: username and email, which are text columns, and encrypted_password, which has the type blob. The username column acts as the primary key for the table.

Structuring of tables

Cassandra structures tables in rows and columns, just like a relational database. Also like a relational database, the columns available to a table are defined in advance. New columns cannot be added on-the-fly when inserting data, although it's possible to update an existing table's schema...

You have been reading a chapter from
Learning Apache Cassandra
Published in: Feb 2015
Publisher:
ISBN-13: 9781783989201
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