Chapter 17: Performance Optimization in Functional Code
In this section
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Understanding Performance in Functional Programs
Explore the performance characteristics of functional programming in Clojure, including immutability overhead, benchmarking, and garbage collection effects.
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Profiling Clojure Applications: Optimize Performance with VisualVM, YourKit, and clj-async-profiler
Learn how to profile Clojure applications using tools like VisualVM, YourKit Java Profiler, and clj-async-profiler. Discover techniques for identifying performance hotspots, analyzing CPU and memory usage, and implementing continuous profiling for scalable applications.
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Optimizing Recursive Functions for Performance in Clojure
Explore techniques to optimize recursive functions in Clojure, including tail recursion, memoization, and iterative alternatives, to enhance performance and prevent stack overflow errors.
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Efficient Data Processing Strategies in Clojure
Explore efficient data processing strategies in Clojure, including batch processing, streaming, lazy evaluation, and parallel processing, to optimize performance in functional programming.
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Leveraging Compiler Optimizations and Hints for Clojure Performance
Explore how to enhance Clojure application performance by leveraging compiler optimizations and type hints, reducing reflection, inlining functions, and using compiler options.
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Managing Memory and Garbage Collection in Clojure Applications
Explore effective memory management and garbage collection strategies in Clojure, leveraging the JVM's capabilities to optimize performance.
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Performance Optimization with Lazy Sequences in Clojure
Explore the performance considerations of using lazy sequences in Clojure, including realization overhead, chunked sequences, and the use of transducers for efficient data processing.
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Using Transients for Performance in Clojure
Explore how transients in Clojure can enhance performance by allowing mutable operations on persistent data structures, ideal for performance-critical code.
