Getting Started by Example

Get telemetry for your app in less than 5 minutes!

This page will show you how to get started with OpenTelemetry in Java.

You will learn how you can instrument a simple Java application automatically, in such a way that traces, metrics, and logs are emitted to the console.

Prerequisites

Ensure that you have the following installed locally:

Example Application

The following example uses a basic Spring Boot application. You can use another web framework, such as Apache Wicket or Play. For a complete list of libraries and supported frameworks, consult the registry.

For more elaborate examples, see examples.

Dependencies

To begin, set up an environment in a new directory called java-simple. Within that directory, create a file called build.gradle.kts with the following content:

plugins { id("java") id("org.springframework.boot") version "3.0.6" id("io.spring.dependency-management") version "1.1.0" } sourceSets { main { java.setSrcDirs(setOf(".")) } } repositories { mavenCentral() } dependencies { implementation("org.springframework.boot:spring-boot-starter-web") }

Create and launch an HTTP Server

In that same folder, create a file called DiceApplication.java and add the following code to the file:

package otel; import org.springframework.boot.Banner; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; @SpringBootApplication public class DiceApplication { public static void main(String[] args) { SpringApplication app = new SpringApplication(DiceApplication.class); app.setBannerMode(Banner.Mode.OFF); app.run(args); } }

Create another file called RollController.java and add the following code to the file:

package otel; import java.util.Optional; import java.util.concurrent.ThreadLocalRandom; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; @RestController public class RollController { private static final Logger logger = LoggerFactory.getLogger(RollController.class); @GetMapping("/rolldice") public String index(@RequestParam("player") Optional<String> player) { int result = this.getRandomNumber(1, 6); if (player.isPresent()) { logger.info("{} is rolling the dice: {}", player.get(), result); } else { logger.info("Anonymous player is rolling the dice: {}", result); } return Integer.toString(result); } public int getRandomNumber(int min, int max) { return ThreadLocalRandom.current().nextInt(min, max + 1); } }

Build and run the application with the following command, then open http://localhost:8080/rolldice in your web browser to ensure it is working.

gradle assemble java -jar ./build/libs/java-simple.jar

Instrumentation

Next, you’ll use a Java agent to automatically instrument the application at launch time. While you can configure the Java agent in a number of ways, the steps below use environment variables.

  1. Download opentelemetry-javaagent.jar from Releases of the opentelemetry-java-instrumentation repository. The JAR file contains the agent and all automatic instrumentation packages:

    curl -L -O https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar
  2. Set and export variables that specify the Java agent JAR and a console exporter, using a notation suitable for your shell/terminal environment — we illustrate a notation for bash-like shells:

    export JAVA_TOOL_OPTIONS="-javaagent:PATH/TO/opentelemetry-javaagent.jar" \ OTEL_TRACES_EXPORTER=logging \ OTEL_METRICS_EXPORTER=logging \ OTEL_LOGS_EXPORTER=logging \ OTEL_METRIC_EXPORT_INTERVAL=15000
  3. Run your application once again:

    $ java -jar ./build/libs/java-simple.jar ...

    Note the output from the otel.javaagent.

  4. From another terminal, send a request using curl:

    curl localhost:8080/rolldice
  5. Stop the server process.

At step 4, you should have seen trace & log output from the server and client that looks something like this (trace output is line-wrapped for convenience):

[otel.javaagent 2023-04-24 17:33:54:567 +0200] [http-nio-8080-exec-1] INFO io.opentelemetry.exporter.logging.LoggingSpanExporter - 'RollController.index' : 70c2f04ec863a956e9af975ba0d983ee 7fd145f5cda13625 INTERNAL [tracer: io.opentelemetry.spring-webmvc-6.0:1.25.0-alpha] AttributesMap{data= {thread.id=39, thread.name=http-nio-8080-exec-1}, capacity=128, totalAddedValues=2} [otel.javaagent 2023-04-24 17:33:54:568 +0200] [http-nio-8080-exec-1] INFO io.opentelemetry.exporter.logging.LoggingSpanExporter - 'GET /rolldice' : 70c2f04ec863a956e9af975ba0d983ee 647ad186ad53eccf SERVER [tracer: io.opentelemetry.tomcat-10.0:1.25.0-alpha] AttributesMap{ data={user_agent.original=curl/7.87.0, net.host.name=localhost, net.transport=ip_tcp, http.target=/rolldice, net.sock.peer.addr=127.0.0.1, thread.name=http-nio-8080-exec-1, net.sock.peer.port=53422, http.route=/rolldice, net.sock.host.addr=127.0.0.1, thread.id=39, net.protocol.name=http, http.status_code=200, http.scheme=http, net.protocol.version=1.1, http.response_content_length=1, net.host.port=8080, http.method=GET}, capacity=128, totalAddedValues=17}

At step 5, when stopping the server, you should see an output of all the metrics collected (metrics output is line-wrapped and shortened for convenience):

[otel.javaagent 2023-04-24 17:34:25:347 +0200] [PeriodicMetricReader-1] INFO io.opentelemetry.exporter.logging.LoggingMetricExporter - Received a collection of 19 metrics for export. [otel.javaagent 2023-04-24 17:34:25:347 +0200] [PeriodicMetricReader-1] INFO io.opentelemetry.exporter.logging.LoggingMetricExporter - metric: ImmutableMetricData{resource=Resource{schemaUrl= https://opentelemetry.io/schemas/1.19.0, attributes={host.arch="aarch64", host.name="OPENTELEMETRY", os.description="Mac OS X 13.3.1", os.type="darwin", process.command_args=[/bin/java, -jar, java-simple.jar], process.executable.path="/bin/java", process.pid=64497, process.runtime.description="Homebrew OpenJDK 64-Bit Server VM 20", process.runtime.name="OpenJDK Runtime Environment", process.runtime.version="20", service.name="java-simple", telemetry.auto.version="1.25.0", telemetry.sdk.language="java", telemetry.sdk.name="opentelemetry", telemetry.sdk.version="1.25.0"}}, instrumentationScopeInfo=InstrumentationScopeInfo{name=io.opentelemetry.runtime-metrics, version=1.25.0, schemaUrl=null, attributes={}}, name=process.runtime.jvm.buffer.limit, description=Total capacity of the buffers in this pool, unit=By, type=LONG_SUM, data=ImmutableSumData{points= [ImmutableLongPointData{startEpochNanos=1682350405319221000, epochNanos=1682350465326752000, attributes= {pool="mapped - 'non-volatile memory'"}, value=0, exemplars=[]}, ImmutableLongPointData{startEpochNanos=1682350405319221000, epochNanos=1682350465326752000, attributes={pool="mapped"}, value=0, exemplars=[]}, ImmutableLongPointData{startEpochNanos=1682350405319221000, epochNanos=1682350465326752000, attributes={pool="direct"}, value=8192, exemplars=[]}], monotonic=false, aggregationTemporality=CUMULATIVE}} ...

What next?

For more:


Last modified November 26, 2024: Update prettier to 3.4.0 (#5684) (1505d056)