By Shantanu Kumar

Become knowledgeable at writing quick and excessive performant code in Clojure 1.7.0

About This Book
• improve code functionality through the use of applicable Clojure features
• enhance the potency of functions and plan their deployment
• A hands-on advisor to designing Clojure courses to get the simplest performance

Who This booklet Is For
This e-book is meant for intermediate Clojure builders who're seeking to get a superb grip on attaining optimal functionality. Having a uncomplicated wisdom of Java will be helpful.

What you'll Learn
• establish functionality concerns in Clojure courses utilizing diverse profiling tools
• grasp strategies to accomplish numerical functionality in Clojure
• Use Criterium library to degree latency of Clojure expressions
• take advantage of Java gains in Clojure code to reinforce performance
• steer clear of mirrored image and boxing with variety hints
• comprehend Clojure's concurrency and state-management primitives in depth
• degree and visual display unit functionality, and comprehend optimization techniques

In Detail
Clojure treats code as facts and has a macro procedure. It specializes in programming with immutable values and specific progression-of-time constructs, that are meant to facilitate the improvement of extra powerful courses, quite multithreaded ones. it really is equipped with functionality, pragmatism, and straightforwardness in brain. Like such a lot normal objective languages, a variety of Clojure positive aspects have assorted functionality features that one should still recognize so that it will write excessive functionality code.

This e-book indicates you ways to guage the functionality implications of varied Clojure abstractions, realize their underpinnings, and observe the precise method for maximum functionality in real-world programs.

It begins via assisting you classify numerous use instances and the necessity for them with appreciate to functionality and research of assorted functionality features. additionally, you will examine the functionality vocabulary that specialists use through the international and observe a number of Clojure information constructions, abstractions, and their functionality features. additional, the publication will consultant you thru bettering functionality by utilizing Java interoperability and JVM-specific beneficial properties from Clojure. It additionally highlights the significance of utilizing the fitting concurrent info constitution and Java concurrency abstractions.

This ebook additionally sheds gentle on functionality metrics for measuring, the best way to degree, and the way to imagine and display screen the gathered facts. on the finish of the e-book, you'll discover ways to run a functionality profiler, determine bottlenecks, track functionality, and refactor code to get a greater performance.

Style and approach
An easy-to-follow consultant filled with real-world examples and self-sufficient code snippets that can assist you get your arms soiled with excessive functionality programming with Clojure.

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Additional resources for Clojure High Performance Programming (2nd Edition)

Example text

Creating a new project Let's see how exactly to arrive at the equivalent Java source code from Clojure. Create a new project using Leiningen: lein new foo. class files, run the lein compile :all command. class files. class files is as simple as opening them using the JD-GUI application. core/mul function is an instance of the core$mul class in the foo package extending the clojure. AFunction class. We can also see that the argument types are of the Object type in method invoke(Object, Object), which implies the numbers will be boxed.

Some Clojure operations over collections, such as map, filter, and more are intentionally lazy. Laziness simply means that the value is not computed until actually required. Once the value is computed, it is cached so that any future reference to the value need not re-compute it. The caching of the value is called memoization. Laziness and memoization often go hand in hand. [ 21 ] Clojure Abstractions Laziness in data structure operations Laziness and memoization together form an extremely useful combination to keep the single-threaded performance of functional algorithms comparable to its imperative counterparts.

V (f)) (inc idx)))))) Performance miscellanea Besides the major abstractions we saw earlier in the chapter, there are other smaller, but nevertheless very performance-critical, parts of Clojure that we will see in this section. Disabling assertions in production Assertions are very useful to catch logical errors in the code during development, but they impose a runtime overhead that you may like to avoid in the production environment. Since assert is a compile time variable, the assertions can be silenced either by binding assert to false or by using alter-var-root before the code is loaded.

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