JVM Performance Best Practices
Understand how the JVM executes Clojure code and apply best practices for memory management and garbage collection.
JVM & Clojure Performance
Welcome to this lesson on JVM Performance Best Practices for Clojure! Understanding how the Java Virtual Machine (JVM) works under the hood is key to writing high-performance Clojure applications.
Clojure leverages the JVM's robust capabilities, but we can guide it for optimal speed and memory usage. We'll explore how Clojure code executes, memory management, and techniques to minimize the impact of garbage collection.
Clojure on the JVM
Clojure is a Lisp dialect that runs on the JVM. This means your Clojure code isn't directly interpreted but compiled into JVM bytecode, just like Java code.
- AOT Compilation: Clojure can be compiled Ahead-Of-Time (AOT) into
.classfiles. - JIT Compilation: The JVM's Just-In-Time (JIT) compiler then optimizes this bytecode at runtime, turning frequently used sections into highly efficient native machine code.
This dynamic compilation is powerful, but we can help the JIT by providing more information.
All lessons in this course
- Profiling Clojure Applications
- JVM Performance Best Practices
- Benchmarking and Hotspot Optimization
- Memory Management & Reducing GC Pressure