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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

Distributed deletion

When we want to delete data from storage, we might assume that Cassandra simply removes the data from disk and forgets that it ever existed. In a non-distributed environment, this approach to deletion would be entirely sufficient, but deletion is a bit more complex in a distributed database such as Cassandra. To find out why, let's return to and modify our previous scenario with Heather and Charles making concurrent modifications to happycorp's user record.

In our modified scenario, Heather will still be updating the location column to contain New York, but Charles will be attempting to delete the contents of that column altogether. As with the original scenario, they'll be making their respective changes at roughly the same time, and our application will issue the UPDATE and DELETE queries at the ONE consistency level. Consider the following sequence of events:

  1. Heather issues...
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