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Clojure High Performance Programming, Second Edition

You're reading from   Clojure High Performance Programming, Second Edition Become an expert at writing fast and high performant code in Clojure 1.7.0

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781785283642
Length 198 pages
Edition 2nd Edition
Languages
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Author (1):
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Shantanu Kumar Shantanu Kumar
Author Profile Icon Shantanu Kumar
Shantanu Kumar
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Table of Contents (10) Chapters Close

Preface 1. Performance by Design FREE CHAPTER 2. Clojure Abstractions 3. Leaning on Java 4. Host Performance 5. Concurrency 6. Measuring Performance 7. Performance Optimization 8. Application Performance Index

Performance measurement and statistics

Measuring performance is the stepping stone to performance analysis. As we noted earlier in this book, there are several performance parameters to be measured with respect to various scenarios. Clojure's built-in time macro is a tool to measure the amount of time elapsed while executing a body of code. Measuring performance factors is a much more involved process. The measured performance numbers may have linkages with each other that we need to analyze. It is a common practice to use statistical concepts to establish the linkage factors. We will discuss some basic statistical concepts in this section and use that to explain how the measured data gives us the bigger picture.

A tiny statistics terminology primer

When we have a series of quantitative data, such as latency in milliseconds for the same operation (measured over a number of executions), we can observe a number of things. First, and the most obvious, are the minimum and maximum values...

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