Quarkus - Using OpenTracing

Prerequisites
Architecture
Solution
Creating the Maven project
- Examine the JAX-RS resource
- Create the configuration
Run the application
Tracing additional methods
Additional instrumentation
Jaeger Configuration Reference

This guide explains how your Quarkus application can utilize OpenTracing to provide distributed tracing for interactive web applications.

Prerequisites

To complete this guide, you need:

less than 15 minutes
an IDE
JDK 1.8+ installed with JAVA_HOME configured appropriately
Apache Maven 3.6.2+
Docker

Architecture

In this guide, we create a straightforward REST application to demonstrate distributed tracing.

Solution

We recommend that you follow the instructions in the next sections and create the application step by step. However, you can skip right to the completed example.

Clone the Git repository: git clone https://github.com/quarkusio/quarkus-quickstarts.git, or download an archive.

The solution is located in the opentracing-quickstart directory.

Creating the Maven project

First, we need a new project. Create a new project with the following command:

mvn io.quarkus:quarkus-maven-plugin:1.13.4.Final:create \
    -DprojectGroupId=org.acme \
    -DprojectArtifactId=opentracing-quickstart \
    -DclassName="org.acme.opentracing.TracedResource" \
    -Dpath="/hello" \
    -Dextensions="resteasy,quarkus-smallrye-opentracing"
cd opentracing-quickstart

This command generates the Maven project with a REST endpoint and imports the smallrye-opentracing extension, which includes the OpenTracing support and the default Jaeger tracer.

If you already have your Quarkus project configured, you can add the smallrye-opentracing extension to your project by running the following command in your project base directory:

./mvnw quarkus:add-extension -Dextensions="smallrye-opentracing"

This will add the following to your pom.xml:

<dependency>
    <groupId>io.quarkus</groupId>
    <artifactId>quarkus-smallrye-opentracing</artifactId>
</dependency>

Examine the JAX-RS resource

Open the src/main/java/org/acme/opentracing/TracedResource.java file and see the following content:

package org.acme.opentracing;

import javax.ws.rs.GET;
import javax.ws.rs.Path;
import javax.ws.rs.Produces;
import javax.ws.rs.core.MediaType;
import org.jboss.logging.Logger;

@Path("/hello")
public class TracedResource {

    private static final Logger LOG = Logger.getLogger(TracedResource.class);

    @GET
    @Produces(MediaType.TEXT_PLAIN)
    public String hello() {
        LOG.info("hello");
        return "hello";
    }
}

Notice that there is no tracing specific code included in the application. By default, requests sent to this endpoint will be traced without any code changes being required. It is also possible to enhance the tracing information. This can be achieved by SmallRye OpenTracing an implementation of MicroProfile OpenTracing.

Create the configuration

There are two ways to configure the Jaeger tracer within the application.

The first approach is by providing the properties within the src/main/resources/application.properties file:

quarkus.jaeger.service-name=myservice (1)
quarkus.jaeger.sampler-type=const (2)
quarkus.jaeger.sampler-param=1 (3)
quarkus.log.console.format=%d{HH:mm:ss} %-5p traceId=%X{traceId}, parentId=%X{parentId}, spanId=%X{spanId}, sampled=%X{sampled} [%c{2.}] (%t) %s%e%n (4)

1	If the `quarkus.jaeger.service-name` property (or `JAEGER_SERVICE_NAME` environment variable) is not provided then a "no-op" tracer will be configured, resulting in no tracing data being reported to the backend.
2	Setup a sampler, that uses a constant sampling strategy.
3	Sample all requests. Set sampler-param to somewhere between 0 and 1, e.g. 0.50, if you do not wish to sample all requests.
4	Add trace IDs into log message.

The second approach is to supply the properties as environment variables. These can be specified as jvm.args as shown in the following section.

Run the application

The first step is to start the tracing system to collect and display the captured traces:

docker run -p 5775:5775/udp -p 6831:6831/udp -p 6832:6832/udp -p 5778:5778 -p 16686:16686 -p 14268:14268 jaegertracing/all-in-one:latest

Now we are ready to run our application. If using application.properties to configure the tracer:

./mvnw compile quarkus:dev

or if configuring the tracer via environment variables:

./mvnw compile quarkus:dev -Djvm.args="-DJAEGER_SERVICE_NAME=myservice -DJAEGER_SAMPLER_TYPE=const -DJAEGER_SAMPLER_PARAM=1"

Once both the application and tracing system are started, you can make a request to the provided endpoint:

$ curl http://localhost:8080/hello
hello

When the first request has been submitted, the Jaeger tracer within the app will be initialized:

2019-10-16 09:35:23,464 INFO  [io.jae.Configuration] (executor-thread-1) Initialized tracer=JaegerTracer(version=Java-0.34.0, serviceName=myservice, reporter=RemoteReporter(sender=UdpSender(), closeEnqueueTimeout=1000), sampler=ConstSampler(decision=true, tags={sampler.type=const, sampler.param=true}), tags={hostname=localhost.localdomain, jaeger.version=Java-0.34.0, ip=127.0.0.1}, zipkinSharedRpcSpan=false, expandExceptionLogs=false, useTraceId128Bit=false)
13:20:11 INFO  traceId=1336b2b0a76a96a3, parentId=0, spanId=1336b2b0a76a96a3, sampled=true [or.ac.qu.TracedResource] (executor-thread-63) hello

Then visit the Jaeger UI to see the tracing information.

Hit CTRL+C to stop the application.

Tracing additional methods

REST endpoints are automatically traced. If you need to trace additional methods, you can add the org.eclipse.microprofile.opentracing.Traced annotation to CDI bean classes or their non-private methods.

This can be useful to trace incoming requests from non-REST calls (like request coming from a message) or to create spans inside a trace.

Here is an example of a FrancophoneService which methods are traced.

import javax.enterprise.context.ApplicationScoped;

import org.eclipse.microprofile.opentracing.Traced;

@Traced
@ApplicationScoped
public class FrancophoneService {

    public String bonjour() {
        return "bonjour";
    }
}

The best way to add OpenTracing capability to reactive messaging based applications is by adding the Traced annotation to all incoming methods.

Additional instrumentation

The OpenTracing API Contributions project offers additional instrumentation that can be used to add tracing to a large variety of technologies/components.

The instrumentation documented in this section has been tested with Quarkus and works in both standard and native mode.

JDBC

The JDBC instrumentation will add a span for each JDBC queries done by your application, to enable it, add the following dependency to your pom.xml:

<dependency>
    <groupId>io.opentracing.contrib</groupId>
    <artifactId>opentracing-jdbc</artifactId>
</dependency>

As it uses a dedicated JDBC driver, you must configure your datasource and Hibernate to use it.

quarkus.datasource.db-kind=postgresql
# add ':tracing' to your database URL
quarkus.datasource.jdbc.url=jdbc:tracing:postgresql://localhost:5432/mydatabase
# use the 'TracingDriver' instead of the one for your database
quarkus.datasource.jdbc.driver=io.opentracing.contrib.jdbc.TracingDriver
# configure Hibernate dialect
quarkus.hibernate-orm.dialect=org.hibernate.dialect.PostgreSQLDialect

Kafka

The Kafka instrumentation will add a span for each message sent to or received from a Kafka topic. To enable it, add the following dependency to your pom.xml:

<dependency>
    <groupId>io.opentracing.contrib</groupId>
    <artifactId>opentracing-kafka-client</artifactId>
</dependency>

It contains OpenTracing interceptors that must be registered on Kafka producers and consumers.

If you followed the Kafka guide, the interceptors can be added on the generated-price and the prices channels as follows:

# Configure the Kafka sink (we write to it)
mp.messaging.outgoing.generated-price.connector=smallrye-kafka
mp.messaging.outgoing.generated-price.topic=prices
mp.messaging.outgoing.generated-price.value.serializer=org.apache.kafka.common.serialization.IntegerSerializer
mp.messaging.outgoing.generated-price.interceptor.classes=io.opentracing.contrib.kafka.TracingProducerInterceptor

# Configure the Kafka source (we read from it)
mp.messaging.incoming.prices.connector=smallrye-kafka
mp.messaging.incoming.prices.value.deserializer=org.apache.kafka.common.serialization.IntegerDeserializer
mp.messaging.incoming.prices.interceptor.classes=io.opentracing.contrib.kafka.TracingConsumerInterceptor

interceptor.classes accept a list of classes separated by a comma.

MongoDB client

The Mongo Driver instrumentation will add a span for each command executed by your application. To enable it, add the following dependency to your pom.xml:

<dependency>
    <groupId>io.opentracing.contrib</groupId>
    <artifactId>opentracing-mongo-common</artifactId>
</dependency>

It contains the OpenTracing CommandListener that will be registered on the configuration of the mongo client. Following the MongoDB guide, the command listener will be registered defining the config property as follows:

# Enable tracing commands in mongodb client
quarkus.mongodb.tracing.enabled=true

Jaeger Configuration Reference

Configuration property fixed at build time - All other configuration properties are overridable at runtime

Configuration property	Type	Default
`quarkus.jaeger.enabled` Defines if the Jaeger extension is enabled.	boolean	`true`
`quarkus.jaeger.metrics.enabled` Whether or not metrics are published in case a metrics extension is present.	boolean	`false`
`quarkus.jaeger.endpoint` The traces endpoint, in case the client should connect directly to the Collector, like http://jaeger-collector:14268/api/traces	URI
`quarkus.jaeger.auth-token` Authentication Token to send as "Bearer" to the endpoint	string
`quarkus.jaeger.user` Username to send as part of "Basic" authentication to the endpoint	string
`quarkus.jaeger.password` Password to send as part of "Basic" authentication to the endpoint	string
`quarkus.jaeger.agent-host-port` The hostname and port for communicating with agent via UDP	host:port
`quarkus.jaeger.reporter-log-spans` Whether the reporter should also log the spans	boolean
`quarkus.jaeger.reporter-max-queue-size` The reporter’s maximum queue size	int
`quarkus.jaeger.reporter-flush-interval` The reporter’s flush interval	Duration
`quarkus.jaeger.sampler-type` The sampler type (const, probabilistic, ratelimiting or remote)	string
`quarkus.jaeger.sampler-param` The sampler parameter (number)	BigDecimal
`quarkus.jaeger.sampler-manager-host-port` The host name and port when using the remote controlled sampler	host:port
`quarkus.jaeger.service-name` The service name	string
`quarkus.jaeger.tags` A comma separated list of name = value tracer level tags, which get added to all reported spans. The value can also refer to an environment variable using the format ${envVarName:default}, where the :default is optional, and identifies a value to be used if the environment variable cannot be found	string
`quarkus.jaeger.propagation` Comma separated list of formats to use for propagating the trace context. Defaults to the standard Jaeger format. Valid values are jaeger and b3	string
`quarkus.jaeger.sender-factory` The sender factory class name	string
`quarkus.jaeger.log-trace-context` Whether the trace context should be logged.	boolean	`true`

Configuration property

Type

Default

quarkus.jaeger.enabled

Defines if the Jaeger extension is enabled.

boolean

true

quarkus.jaeger.metrics.enabled

Whether or not metrics are published in case a metrics extension is present.

boolean

false

quarkus.jaeger.endpoint

The traces endpoint, in case the client should connect directly to the Collector, like http://jaeger-collector:14268/api/traces

URI

quarkus.jaeger.auth-token

Authentication Token to send as "Bearer" to the endpoint

string

quarkus.jaeger.user

Username to send as part of "Basic" authentication to the endpoint

string

quarkus.jaeger.password

Password to send as part of "Basic" authentication to the endpoint

string

quarkus.jaeger.agent-host-port

The hostname and port for communicating with agent via UDP

host:port

quarkus.jaeger.reporter-log-spans

Whether the reporter should also log the spans

boolean

quarkus.jaeger.reporter-max-queue-size

The reporter’s maximum queue size

int

quarkus.jaeger.reporter-flush-interval

The reporter’s flush interval

Duration

quarkus.jaeger.sampler-type

The sampler type (const, probabilistic, ratelimiting or remote)

string

quarkus.jaeger.sampler-param

The sampler parameter (number)

BigDecimal

quarkus.jaeger.sampler-manager-host-port

The host name and port when using the remote controlled sampler

host:port

quarkus.jaeger.service-name

The service name

string

quarkus.jaeger.tags

A comma separated list of name = value tracer level tags, which get added to all reported spans. The value can also refer to an environment variable using the format ${envVarName:default}, where the :default is optional, and identifies a value to be used if the environment variable cannot be found

string

quarkus.jaeger.propagation

Comma separated list of formats to use for propagating the trace context. Defaults to the standard Jaeger format. Valid values are jaeger and b3

string

quarkus.jaeger.sender-factory

The sender factory class name

string

quarkus.jaeger.log-trace-context

Whether the trace context should be logged.

boolean

true

About the Duration format

The format for durations uses the standard java.time.Duration format. You can learn more about it in the Duration#parse() javadoc.

You can also provide duration values starting with a number. In this case, if the value consists only of a number, the converter treats the value as seconds. Otherwise, PT is implicitly prepended to the value to obtain a standard java.time.Duration format.