JMH generator: annotation processor and other tool integration guidelines in the Java class library
JMH generator: annotation processor and other tool integration guidelines in the Java class library
introduction:
Performance testing is an indispensable part of software development.Java provides many tools and libraries to help developers perform performance and benchmark for their code.Among them, JMH (Java Microbenchmark Harness) is a framework for writing, running and analyzing the Java micro -foundation test.
This article will introduce the JMH generator, which is an annotation processor for generating the JMH benchmark test code.We will explore how to use the JMH generator and show how to integrate it with other tools to make the performance test more efficient and simple.
1. Overview of JMH generator
The JMH generator is an annotation processor to automatically generate the JMH benchmark test code.With the ability of the annotation processor, it generates high -efficiency and correct benchmark test code during compilation.Using the JMH generator, we can avoid manually writing a lengthy and easy -to -error JMH test code to greatly improve the development efficiency.
2. How to use the JMH generator
In order to use the JMH generator, we need to follow the following steps:
2.1 Introduction to JMH generator dependencies
First, the introduction of JMH generator dependencies in our project:
<dependency>
<groupId>org.openjdk.jmh</groupId>
<artifactId>jmh-generator-annprocess</artifactId>
<version>1.26</version>
</dependency>
2.2 Create the benchmark test class
Next, we need to create a benchmark test class and use the JMH generator's annotation to mark the method and code segment we want to perform the benchmark test.For example, we can mark the method as @benchmark annotation:
import org.openjdk.jmh.annotations.Benchmark;
public class MyBenchmark {
@Benchmark
public void myMethod() {
// The code segment of the benchmark test
}
}
2.3 Running generator
Once our benchmark testing category is ready, we need to run the JMH generator from moving the benchmark test code.We can use Maven or Gradle to build tools to run generators.
3. Integration of JMH generator and other tools
The JMH generator can be integrated with other tools to better achieve the goal of performance testing.Here are some practical examples integrated with the JMH generator:
3.1 Test combined with junit
By integrating the JMH benchmark test class with the Junit test kit, we can automatically perform and verify the benchmark test during the construction process.In this way, we can ensure the stability of performance after each code change.You can use the Junit operator "junitbenchmarkrunner" to achieve this integration.
import org.junit.runner.RunWith;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.runner.Runner;
import org.openjdk.jmh.runner.options.Options;
import org.openjdk.jmh.runner.options.OptionsBuilder;
@RunWith(JUnitBenchmarkRunner.class)
public class MyBenchmark {
@Benchmark
public void myMethod() {
// The code segment of the benchmark test
}
public static void main(String[] args) throws Exception {
Options options = new OptionsBuilder()
.include(MyBenchmark.class.getSimpleName())
.build();
new Runner(options).run();
}
}
3.2 Integration with continuous integration tools
We can also integrate with continuous integration tools (such as Jenkins or Travis CI) to automatically run the benchmark test at each submission or construct and generate a report on the performance index.In this way, developers can monitor and compare the performance of code at any time.
3.3 Integration with Performance Analysis Tools
Integrated performance analysis tools (such as Visualvm or JProfiler) can help us analyze and optimize the performance of code more comprehensively.By integrating the benchmark test with these tools, it is easier to locate the bottleneck of performance and optimize.
in conclusion:
The JMH generator is a powerful tool that can be used to simplify and accelerate the writing process of the Java benchmark test.By using an annotation processor, an efficient and correct benchmark test code is generated during compilation.By integrating with other tools, we can better monitor and analyze the performance of the code to better optimize our application.
Although the JMH generator is a powerful tool, we still need to use it carefully.When writing the benchmark test, ensure the stability of the test environment and follow the good experimental design principles to obtain accurate and reliable performance indicators.
