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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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Toc

Table of Contents (14) 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 A. Peeking Under the Hood B. Authentication and Authorization Index

Removing a value from a column


Let's say bob decides he doesn't want his location on his profile. We'd like to get the location column back to the state it was in earlier, which appears as null in cqlsh but simply means "no data here".

Missing columns in Cassandra

As we discussed previously, Cassandra doesn't have the concept of NULL columns in the SQL sense. Concretely, the following statement is not possible in Cassandra:

SELECT * FROM "users" WHERE "location" IS NULL;

Relational databases typically store a separate bit in each column to indicate whether that column contains a NULL value. In Cassandra, on the other hand, all data columns are optional, and only the columns with a value are represented in storage. We can visualize Cassandra rows as maps of key-value pairs, with some keys possibly missing; relational database rows are more like fixed size lists of columns, where some columns may have a NULL value. The following diagram shows how we might visualize dave's row in Cassandra, and...

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