Getting Started by Example
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:
- Java JDK 17+, due to the use of Spring Boot 3; Java 8+ otherwise
- Gradle
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.
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
Take note of the path to the JAR file.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
Important
- Replace
PATH/TO
above, with your path to the JAR. - Set
OTEL_METRIC_EXPORT_INTERVAL
to a value well below the default, as we illustrate above, only during testing to help you more quickly ensure that metrics are properly generated.
- Replace
Run your application once again:
$ java -jar ./build/libs/java-simple.jar ...
Note the output from the
otel.javaagent
.From another terminal, send a request using
curl
:curl localhost:8080/rolldice
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:
- Run this example with another exporter for telemetry data.
- Try zero-code instrumentation on one of your own apps.
- For light-weight customized telemetry, try annotations.
- Learn about manual instrumentation and try out more examples.
- Take a look at the OpenTelemetry Demo, which includes Java based Ad Service and Kotlin based Fraud Detection Service
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