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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 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

Deleting columns


Upon further consideration, we may decide that location is a better column name than city_state. Cassandra does not allow us to rename existing data columns; however, since we haven't put any data in the city_state column yet, we can achieve our goals simply by dropping the city_state column and adding a location column instead:

ALTER TABLE "users" DROP "city_state";
ALTER TABLE "users" ADD "location" text;

The DROP command within the ALTER TABLE statement looks just like the ADD command, except that we need not specify the column's type; only its name is sufficient. Looking at the output of DESCRIBE again, we've now got the columns set up the way we'd like:

Now that we've got our expanded schema, we can take a look at the actual contents of the table:

SELECT * FROM "users";

The output now includes our new location column:

Recall from Chapter 2, The First Table that Cassandra does not have the concept of NULL values in the sense that SQL databases do; rather, the null displayed...

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