What are the best practices for using JMH?

What are the best practices for using JMH?

When using JMH, it's important to follow best practices like ensuring warm-up iterations, using appropriate benchmarks, and avoiding dead code.

Can you explain why warm-up iterations are necessary?

Warm-up iterations help to eliminate JVM optimizations that can skew the results of your benchmarks, providing more accurate measurements.

What should I consider when designing my benchmarks?

Consider factors like the size of the data set, the complexity of the operations, and the environment in which you're running the benchmarks.

Are there any common pitfalls to avoid?

Yes, common pitfalls include not isolating the benchmarked code, using too few iterations, and not accounting for JVM warm-up.