度量@Timed注释有一个问题。它似乎不测量时间(只计算通话次数)。
设置与Payara 5完全。
典型的http://localhost:8080/metrics/application输出
# TYPE application:total_coffees_retrieved counter
application:total_coffees_retrieved 4
# TYPE application:total_coffees_consumed counter
application:total_coffees_consumed 4
# TYPE application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_rate_per_second gauge
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_rate_per_second 1.4044150172871745
# TYPE application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_one_min_rate_per_second gauge
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_one_min_rate_per_second 0.0
# TYPE application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_five_min_rate_per_second gauge
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_five_min_rate_per_second 0.0
# TYPE application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_fifteen_min_rate_per_second gauge
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_fifteen_min_rate_per_second 0.0
# TYPE application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_mean_seconds gauge
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_mean_seconds 0.0
# TYPE application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_max_seconds gauge
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_max_seconds 0.0
# TYPE application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_min_seconds gauge
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_min_seconds 0.0
# TYPE application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_stddev_seconds gauge
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_stddev_seconds 0.0
# TYPE application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_seconds summary
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_seconds_count 4
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_seconds{quantile="0.5"} 0.0
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_seconds{quantile="0.75"} 0.0
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_seconds{quantile="0.95"} 0.0
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_seconds{quantile="0.98"} 0.0
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_seconds{quantile="0.99"} 0.0
application:com_sebastian_daschner_hello_prometheus_coffees_retrieve_coffee_seconds{quantile="0.999"} 0.0平均,最大,分位数都是"0.0",而计数工作得很好(= 4)。
我们已经尝试了多个Payara/JEE/Microprofile版本的组合,每个版本都有相同的结果。
下面是一些代码片段(基本代码摘自https://github.com/sdaschner/hello-prometheus/tree/microprofile,只添加了@Timed)
咖啡豆:
@ApplicationScoped
public class Coffees {
@Counted(name = "total_coffees_retrieved", absolute = true, monotonic = true)
@Timed
public String retrieveCoffee() {
try {
Thread.sleep((int) (1000 * Math.random()));
} catch (InterruptedException ex) {
Logger.getLogger(Coffees.class.getName()).log(Level.SEVERE, null, ex);
}
return "Coffee!";
}
}JAX-RS REST资源:
import javax.inject.Inject;
import javax.ws.rs.GET;
import javax.ws.rs.Path;
@Path("coffee")
public class CoffeesResource {
@Inject
Coffees coffees;
@GET
public String getCoffee() {
return coffees.retrieveCoffee();
}
}pom.xml
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.sebastian-daschner</groupId>
<artifactId>hello-prometheus</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>war</packaging>
<dependencies>
<dependency>
<groupId>javax</groupId>
<artifactId>javaee-api</artifactId>
<version>7.0</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.eclipse.microprofile.metrics</groupId>
<artifactId>microprofile-metrics-api</artifactId>
<version>1.1.1</version> <!-- also tried 1.0 and 1.1 -->
<scope>provided</scope>
</dependency>
</dependencies>
<build>
<finalName>hello-prometheus</finalName>
</build>
<properties>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
<failOnMissingWebXml>false</failOnMissingWebXml>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
</project>有什么办法解决这个问题吗?
编辑:在使用application/json请求度量标准时不发生
curl -H "Accept: application/json" http://localhost:8080/metrics/application下一个payara版本已经解决了问题:https://github.com/payara/Payara/issues/2970
发布于 2018-07-18 09:25:22
如果您想看到比0更多的东西,您将需要一个需要更多时间执行的方法!简单地递增一个计数器并返回这样的字符串几乎不需要任何时间,绝对远小于0.1秒,因此您的度量标准中将永远看不到任何值。
尝试将Thread.sleep(1500)添加到方法中,以查看计时器是否记录了1.5秒。
由于@Timed提供了大量的统计数据,您还可以尝试使用Thread.sleep(Math.random() * 1000)来给出执行所需时间的一些变化,并为您提供更多有趣的度量来检查。
编辑:正如在下面的评论中提到的,在PayaraMicro5.182中出现了一个错误,导致计时器无法工作。
https://stackoverflow.com/questions/51383738
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