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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

Selecting data


We now know how to retrieve data from the database, but that isn't much good unless we can get it back again. Let's say we now want to build an account settings page for MyStatus; we've got the user's username stored in a persistent session, but we will retrieve the other profile fields from the database to display in the settings form:

    SELECT * FROM "users"
    WHERE "username" = 'alice';

This query tells Cassandra we want to retrieve the rows where the value for username (the primary key) is alice. The * wildcard simply says we would like all the columns in that row, saving us from having to type them all out. You'll see the rows we requested nicely formatted in the CQL shell as follows:

In other scenarios, we don't need all the columns. When a user tries to log in to MyStatus, we want to retrieve their password and compare it to the one the user provided us with, but we don't care about the email. Avoiding unnecessary columns reduces the amount of data that needs to be...

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