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Cassandra 3.x High Availability

You're reading from   Cassandra 3.x High Availability Achieve scalability and high availability without compromising on performance

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Product type Paperback
Published in Aug 2016
Publisher
ISBN-13 9781786462107
Length 196 pages
Edition 2nd Edition
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Author (1):
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Robbie Strickland Robbie Strickland
Author Profile Icon Robbie Strickland
Robbie Strickland
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Table of Contents (10) Chapters Close

Preface 1. Cassandras Approach to High Availability FREE CHAPTER 2. Data Distribution 3. Replication 4. Data Centers 5. Scaling Out 6. High Availability Features in the Native Java Client 7. Modeling for Availability 8. Anti-Patterns 9. Failing Gracefully

Unbounded row growth


Now let us take a look at the counterpoint problem to deletes, when data for a given key grows without bounds. This is a surprisingly easy situation to get yourself into, especially if you do not understand how Cassandra stores your data on disk. Perhaps the best antidote to unbounded row growth is to read and understand the previous chapter, which offers the foundational knowledge to help you avoid this scenario.

To clarify, this section is not a warning against unbounded growth of your data set in general. We have established that Cassandra scales linearly, so you can continue to add data as long as you have capacity in your cluster. Instead, we are referring to a model where a given partition key continues to accumulate columns with no end in sight. We briefly touched on this in Chapter 7, Modeling for Availability, but the topic deserves full treatment.

We can imagine a typical scenario using the sensor_readings data model described in the last chapter. Here is a reminder...

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