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Measure execution time for a Java method

java
execution-time
profiling
performance
Alex KataevbyAlex Kataev·Aug 5, 2024
TLDR

Efficiently measure a method's runtime speed using System.nanoTime():

long start = System.nanoTime(); methodName(); // Insert joke: Even the snail is faster... Hurry up, methodName! long duration = System.nanoTime() - start; System.out.println("Execution time: " + duration + " ns");

This approach gives you the method's runtime with nano-precision accuracy. Speedy, indeed!

Precise timing with NanoTime and Instant

Use System.nanoTime() for precision measurement, while Instant.now() helps when logging requires human-readable time formats.

Instant start = Instant.now(); methodName(); // Insert joke: methodName! Fuel up, it's race time! Instant end = Instant.now(); Duration duration = Duration.between(start, end); System.out.println("Execution time: " + duration.toMillis() + " ms");

Pro-tip: For logging purposes, always prefer ISO-8601 time format – because who understands "Fri, 14 Mar, 2022 15:33:00 GMT", right?

Easy timing with Guava's Stopwatch

The utility class Stopwatch, in Google's Guava library, transforms the tiresome task of timing a method's execution into a cakewalk.

Stopwatch stopwatch = Stopwatch.createStarted(); methodName(); // Insert joke: methodName in Stopwatch mode... Let's see who wins! stopwatch.stop(); System.out.println("Time elapsed: " + stopwatch.elapsed(TimeUnit.MILLISECONDS) + " ms");

Advanced Timing Strategies

Overcoming Random fluctuations with Averaging

Increase accuracy by running and timing the method repeatedly, taking the average time of execution over multiple iterations.

long totalTime = 0; int iterations = 100; for (int i = 0; i < iterations; i++) { long start = System.nanoTime(); methodName(); // Insert joke: Again, methodName? Is groundhog day real? totalTime += System.nanoTime() - start; } long averageTime = totalTime / iterations; System.out.println("Average execution time: " + averageTime + " ns");

In-depth Analysis with Profilers

NetBeans Profiler or similar tools provide a detailed insight into performance at the method-level, enabling you to precisely spot and eliminate bottlenecks.

Clean Encapsulation with AOP

Aspect-oriented programming (AOP) with Spring's MethodInterceptor segregates timing logic, maintaining the sanity of your code.

Diving Deeper: Overcoming Pitfalls and Exploring Utilities

Averting Pitfalls

Ensure your timing logic doesn't distort performance. Skip heavy CPU or memory-consuming operations within the timing scope and avoid misguiding results.

Built-in Utilities for Android

TimingLogger from the Android SDK simplifies execution time checks without imposing additional code hassles.

Exploring Profiling Tools

Beyond the stopwatch, tools like JMH and Caliper conduct rigorous micro-benchmarks, delivering insights into performance eccentricities.