Use Microprofile Metrics API to measure the performance of the Java class library

Use Microprofile Metrics API to measure the performance of the Java class library Microprofile Metrics is an API specification for measurement and monitoring the performance of Java application.It provides a set of interfaces and annotations for collecting and disclosure application measures.This article will introduce how to use Microprofile Metrics API to measure the performance of the Java library. The main feature of Microprofile Metrics is simple and easy to use and seamlessly integrated with the Java Enterprise (Java Ee).It provides developers with a set of standard interfaces for measuring and recording the data of the application. First, we need to add the dependencies of the Microprofile Metrics library.In the Maven project, you need to add the following dependencies to the POM.XML file: <dependency> <groupId>org.eclipse.microprofile.metrics</groupId> <artifactId>microprofile-metrics-api</artifactId> <version>2.3</version> </dependency> After completing the addition of the dependencies, we can start using the Microprofile Metrics API to accumulate the performance of the Java class library.The following is a simple example. Demonstrate how to measure the execution time of a method: import org.eclipse.microprofile.metrics.annotation.Metered; import javax.enterprise.context.ApplicationScoped; @ApplicationScoped public class MyLibrary { @Metered(name = "myMethodExecution") public void myMethod() { // Here is the specific implementation of the method } } In the above example, we used the `@metered` annotation to mark the method of` mymethod () `.This annotation represents the number of execution and rate of the method.We can specify a name (such as "MyMethodexecution") for the measurement. Now, when we use the MicroProfile Metrics API implementation (such as Eclipse Microprofile Metrics or Smallrye Metrics), the measurement data will be collected and disclosed in the measurement system (such as Prometheus, Grafana, etc.). To view the measurement data, we can access the end point of the index.By default, the index endpoint URL is `/metrics`.By visiting the URL in the browser, we will see the information of the measurement data. In addition to `@MeterEd` annotations, Microprofile Metrics API also provides some other annotations and interfaces, which can be used to measure other types of performance indicators, such as counter (`@counted`), histogram (`` `` `` ``) and timer (`@Timed`) and so on. Summarize: Microprofile Metrics API is an API specification for measurement and monitoring the performance of Java application.It uses simple and well integrated with Java EE.This article introduces how to use Microprofile Metrics API to measure the performance of the Java library and provide a simple example.By using Microprofile Metrics API appropriately, you can better understand the performance of your Java class library and perform performance optimization and monitoring. Note: In order to fully measure the performance of the Java library, you may also need to use the implementation of the measurement library (such as Eclipse Microprofile Metrics or Smallrye Metrics) and the measurement system (such as Prometheus, Grafana, etc.).