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Mastering Redis

You're reading from   Mastering Redis Take your knowledge of Redis to the next level to build enthralling applications with ease

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781783988181
Length 366 pages
Edition 1st Edition
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Tools
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Authors (2):
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Vidyasagar N V Vidyasagar N V
Author Profile Icon Vidyasagar N V
Vidyasagar N V
Jeremy Nelson Jeremy Nelson
Author Profile Icon Jeremy Nelson
Jeremy Nelson
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Toc

Table of Contents (13) Chapters Close

Preface 1. Why Redis? FREE CHAPTER 2. Advanced Key Management and Data Structures 3. Managing RAM – Tips and Techniques for Redis Memory Management 4. Programming Redis Part One – Redis Core, Clients, and Languages 5. Programming Redis Part Two – Lua Scripting, Administration, and DevOps 6. Scaling with Redis Cluster and Sentinel 7. Redis and Complementary NoSQL Technologies 8. Docker Containers and Cloud Deployments 9. Task Management and Messaging Queuing 10. Measuring and Managing Information Streams A. Sources Index

Big O notation

As you may already know and fully appreciate, Salvatore Sanfilippo intentionally documents the worst-case algorithmic performance of each Redis command on Redis's website at http://redis.io/commands/. This focus on an algorithmic measure of performance as a core actionable metric differentiates Redis from the other data storage technologies. A mathematical definition of Big O is that it "symbolically expresses the asymptotic behavior of a given function.2. Within computer science and more pertinent to our understanding of the big O notation within Redis, with this notation and understanding, we can classify the performance of a Redis command by how the commands perform with increasing inputs to the command over time.

Big O notation

Graphing Big O Notation

In the Redis documentation for each command, the time complexity of each Redis command is given in these big O cases:

  • The O(1) case in the big O notation is shorthand for increasing the number of inputs that do not change the time...
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