How to use Microprofile Metrics API in the Java library
How to use Microprofile Metrics API in the Java library
Microprofile Metrics API is a useful tool in the development of Java applications that can easily collect and expose the measurement index of applications.This article will introduce how to use Microprofile Metrics API in the Java library and provide corresponding code examples.
Microprofile Metrics API provides a set of annotations and interfaces that can define and register the application of the application of the application.To use the Microprofile Metrics API in the Java library, you can follow the steps below:
1. Add Microprofile Metrics API dependence: First, add Microprofile Metrics API to your project.You can implement it by adding the following dependencies to the pom.xml file:
<dependency>
<groupId>org.eclipse.microprofile.metrics</groupId>
<artifactId>microprofile-metrics-api</artifactId>
<version>3.1</version>
</dependency>
2. Definition and registration measurement indicator: Next, you can define and register measurement indicators in your Java class.You can use the annotations provided by Microprofile Metrics API to define the measurement indicators, such as@Gauge,@Counter,@Meter, etc.For example, the following code example shows how to define and register a simple counter measuring indicator:
import org.eclipse.microprofile.metrics.Counter;
import org.eclipse.microprofile.metrics.MetricRegistry;
import org.eclipse.microprofile.metrics.annotation.Metric;
public class MyMetrics {
@Metric(absolute = true)
private Counter myCounter;
public void incrementCounter() {
myCounter.inc();
}
public static void main(String[] args) {
MetricRegistry metricRegistry = new MetricRegistry();
metricRegistry.register("myCounter", myCounter);
MyMetrics myMetrics = new MyMetrics();
myMetrics.incrementCounter();
}
}
In the above examples, by using the @Metric annotation and the counter interface, a counter measuring indicator called "MyCounter" is defined.The measurement index was registered into Metricregization through the metricRicregship.register () method.Finally, by calling the incrementCounter () method, the counter can be performed by the counter.
3. Exposure Metering Index: To expose the measurement index, you can use the Endpoint interface provided by the Microprofile Metrics API.Through the Endpoint interface, you can make the measurement index open into the REST point point and access these indicators through HTTP requests.The following code example shows how to expose the measurement index into the REST endpoint:
import org.eclipse.microprofile.metrics.MetricRegistry;
import org.eclipse.microprofile.metrics.annotation.RegistryType;
import org.eclipse.microprofile.metrics.exporters.JsonExporter;
import org.eclipse.microprofile.metrics.exporters.JsonExporter.Format;
public class MetricsEndpoint {
@RegistryType(type = MetricRegistry.Type.BASE)
private MetricRegistry metricRegistry;
public void exportMetrics() {
JsonExporter jsonExporter = new JsonExporter().format(Format.JSON);
jsonExporter.export(metricRegistry, System.out);
}
public static void main(String[] args) {
MetricsEndpoint metricsEndpoint = new MetricsEndpoint();
metricsEndpoint.exportMetrics();
}
}
In the above examples, the MetricRegistry is specified as a Base type by using @regentryType annotations.Then, the measurement index was exported in JSON format through the JSONEXPORTER.EXPORT () method and printed to the system console.
Through these steps, you can use Microprofile Metrics API in the Java library to define, register and expose the measurement indicators of applications.In this way, you can easily monitor and analyze the performance and behavior of the application.
I hope this article will help you understand how to use Microprofile Metrics API in the Java library in the Java library.In this way, you can better understand and optimize your Java application.
