What are some effective optimizations for JMH benchmarks?
An example of an AI chatbot conversation about optimizing JMH benchmarks for performance.
What are some effective optimizations for JMH benchmarks?
To optimize JMH benchmarks, consider using the right warm-up iterations, adjusting the fork count, and tuning the measurement time.
How does the warm-up phase affect the results?
The warm-up phase allows the JVM to optimize the code, reducing the impact of JIT compilation on your benchmark results.
What is the ideal fork count for accurate results?
A fork count of 2-3 is generally recommended to ensure that the benchmarks are run in separate JVM instances, minimizing interference.
Can I use JMH for microservices performance testing?
Yes, JMH can be used for microservices performance testing, but it's best suited for benchmarking individual components rather than full system tests.
What are some common pitfalls to avoid when using JMH?
Common pitfalls include not properly warming up, using too few iterations, and failing to account for JVM optimizations.
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