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OpenTelemetry Instrumentation for Java

This project provides a Java agent JAR that can be attached to any Java 8+ application and dynamically injects bytecode to capture telemetry from a number of popular libraries and frameworks. The telemetry data can be exported in a variety of formats. In addition, the agent and exporter can be configured via command line arguments or environment variables. The net result is the ability to gather telemetry data from a Java application without code changes.

Getting Started

Download the latest version.

This package includes the instrumentation agent, instrumentations for all supported libraries and all available data exporters. This provides completely automatic out of the box experience.

The instrumentation agent is enabled using the -javaagent flag to the JVM.

java -javaagent:path/to/opentelemetry-javaagent-all.jar \
     -jar myapp.jar

By default OpenTelemetry Java agent uses OTLP exporter configured to send data to OpenTelemetry collector at localhost:55680.

Configuration parameters are passed as Java system properties (-D flags) or as environment variables (see below for full list). For example:

java -javaagent:path/to/opentelemetry-javaagent-all.jar \
     -Dotel.exporter=zipkin \
     -jar myapp.jar

External exporter jar can be specified via otel.exporter.jar system property:

java -javaagent:path/to/opentelemetry-javaagent-all.jar \
     -Dotel.exporter.jar=path/to/external-exporter.jar \
     -jar myapp.jar

Configuration parameters (subject to change!)

Note: These parameter names are very likely to change over time, so please check back here when trying out a new version! Please report any bugs or unexpected behavior you may find.

Exporters

The following configuration properties are common to all exporters:

System property	Environment variable	Purpose
otel.exporter	OTEL_EXPORTER	Exporter to be used, can be a comma-separated list to use multiple exporters. Currently does not support multiple metric exporters. Defaults to otlp.

OTLP exporter (both span and metric exporters)

A simple wrapper for the OTLP span and metric exporters of opentelemetry-java.

System property	Environment variable	Purpose
otel.exporter=otlp (default)	OTEL_EXPORTER=otlp	To select OpenTelemetry exporter (default)
otel.exporter.otlp.endpoint	OTEL_EXPORTER_OTLP_ENDPOINT	The OTLP endpoint to connect to, default is "localhost:55680"
otel.exporter.otlp.insecure	OTEL_EXPORTER_OTLP_INSECURE	Whether to enable client transport security for the connection
otel.exporter.otlp.headers	OTEL_EXPORTER_OTLP_HEADERS	The key-value pairs separated by semicolon to pass as request headers
otel.exporter.otlp.timeout	OTEL_EXPORTER_OTLP_TIMEOUT	The max waiting time allowed to send each batch, default is 1000

In order to configure the service name for the OTLP exporter, you must add service.name key to the OpenTelemetry Resource (see below), e.g. OTEL_RESOURCE_ATTRIBUTES=service.name=myservice.

Jaeger exporter

A simple wrapper for the Jaeger exporter of opentelemetry-java. It currently only supports gRPC as its communications protocol.

System property	Environment variable	Purpose
otel.exporter=jaeger	OTEL_EXPORTER=jaeger	To select Jaeger exporter
otel.exporter.jaeger.endpoint	OTEL_EXPORTER_JAEGER_ENDPOINT	The Jaeger endpoint to connect to, default is "localhost:14250", currently only gRPC is supported.
otel.exporter.jaeger.service.name	OTEL_EXPORTER_JAEGER_SERVICE_NAME	The service name of this JVM instance, default is "unknown".

Zipkin exporter

A simple wrapper for the Zipkin exporter of opentelemetry-java. It POSTs json in Zipkin format to a specified HTTP URL.

System property	Environment variable	Purpose
otel.exporter=zipkin	OTEL_EXPORTER=zipkin	To select Zipkin exporter
otel.exporter.zipkin.endpoint	OTEL_EXPORTER_ZIPKIN_ENDPOINT	The Zipkin endpoint to connect to, default is "http://localhost:9411/api/v2/spans". Currently only HTTP is supported.
otel.exporter.zipkin.service.name	OTEL_EXPORTER_ZIPKIN_SERVICE_NAME	The service name of this JVM instance, default is "unknown".

Prometheus exporter

A simple wrapper for the Prometheus exporter of opentelemetry-java.

System property	Environment variable	Purpose
otel.exporter=prometheus	OTEL_EXPORTER=prometheus	To select Prometheus exporter
otel.exporter.prometheus.port	OTEL_EXPORTER_PROMETHEUS_PORT	The local port used to bind the prometheus metric server, defaults to 9464
otel.exporter.prometheus.host	OTEL_EXPORTER_PROMETHEUS_HOST	The local address used to bind the prometheus metric server, defaults to "0.0.0.0"

Logging exporter

The logging exporter simply prints the name of the span along with its attributes to stdout. It is used mainly for testing and debugging.

System property	Environment variable	Purpose
otel.exporter=logging	OTEL_EXPORTER=logging	To select logging exporter
otel.exporter.logging.prefix	OTEL_EXPORTER_LOGGING_PREFIX	An optional string that is printed in front of the span name and attributes.

Propagator

The propagator controls which distributed tracing header format is used.

If this is set to a comma-delimited list of the values, the multi-propagator will be used. The multi-propagator will try to extract the context from incoming requests using each of the configured propagator formats (in order), stopping after the first successful context extraction. The multi-propagator will inject the context into outgoing requests using all the configured propagator formats.

System property	Environment variable	Purpose
otel.propagators	OTEL_PROPAGATORS	Default is "tracecontext" (W3C). Other supported values are "b3", "b3single", "jaeger", "ottracer", "xray".

OpenTelemetry Resource

The OpenTelemetry Resource is a representation of the entity producing telemetry.

System property	Environment variable	Purpose
otel.resource.attributes	OTEL_RESOURCE_ATTRIBUTES	Used to specify resource attributes in format: key1=val1,key2=val2,key3=val3

Peer service name

The peer service name is the name of a remote service that is being connected to. It corresponds to service.name in the Resource for the local service.

System property	Environment variable	Purpose
otel.endpoint.peer.service.mapping	OTEL_ENDPOINT_PEER_SERVICE_MAPPING	Used to specify a mapping from hostnames or IP addresses to peer services, as a comma separated list of host=name pairs. The peer service name will be added as an attribute to a span whose host or IP match the mapping. For example, if set to 1.2.3.4=cats-service,dogs-abcdef123.serverlessapis.com=dogs-api, requests to 1.2.3.4 will have a peer.service attribute of cats-service and requests to dogs-abcdef123.serverlessapis.com will have one of dogs-api

Batch span processor

System property	Environment variable	Purpose
otel.bsp.schedule.delay	OTEL_BSP_SCHEDULE_DELAY	The interval in milliseconds between two consecutive exports (default: 5000)
otel.bsp.max.queue	OTEL_BSP_MAX_QUEUE	Maximum queue size (default: 2048)
otel.bsp.max.export.batch	OTEL_BSP_MAX_EXPORT_BATCH	Maximum batch size (default: 512)
otel.bsp.export.timeout	OTEL_BSP_EXPORT_TIMEOUT	Maximum allowed time in milliseconds to export data (default: 30000)
otel.bsp.export.sampled	OTEL_BSP_EXPORT_SAMPLED	Whether only sampled spans should be exported (default: true)

Trace config

System property	Environment variable	Purpose
otel.config.sampler.probability	OTEL_CONFIG_SAMPLER_PROBABILITY	Sampling probability between 0 and 1 (default: 1)
otel.config.max.attrs	OTEL_CONFIG_MAX_ATTRS	Maximum number of attributes per span (default: 32)
otel.config.max.events	OTEL_CONFIG_MAX_EVENTS	Maximum number of events per span (default: 128)
otel.config.max.links	OTEL_CONFIG_MAX_LINKS	Maximum number of links per span (default: 32)
otel.config.max.event.attrs	OTEL_CONFIG_MAX_EVENT_ATTRS	Maximum number of attributes per event (default: 32)
otel.config.max.link.attrs	OTEL_CONFIG_MAX_LINK_ATTRS	Maximum number of attributes per link (default: 32)

Interval metric reader

System property	Environment variable	Purpose
otel.imr.export.interval	OTEL_IMR_EXPORT_INTERVAL	The interval in milliseconds between pushes to the exporter (default: 60000)

Customizing the OpenTelemetry SDK

This is highly advanced behavior and still in the prototyping phase. It may change drastically or be removed completely. Use with caution

The OpenTelemetry API exposes SPI hooks for customizing its behavior, such as the Resource attached to spans or the Sampler.

Because the auto instrumentation runs in a separate classpath than the instrumented application, it is not possible for customization in the application to take advantage of this customization. In order to provide such customization, you can provide the path to a JAR file including an SPI implementation using the system property otel.initializer.jar. Note that this JAR will need to shade the OpenTelemetry API in the same way as the agent does. The simplest way to do this is to use the same shading configuration as the agent from here. In addition, you will have to specify the io.opentelemetry.javaagent.shaded.io.opentelemetry.trace.spi.TraceProvider to the name of the class that implements the SPI.

Supported Java libraries and frameworks

Library/Framework	Versions
Akka HTTP	10.0+
Apache HttpAsyncClient	4.0+
Apache HttpClient	2.0+
Armeria	0.99.8+
AWS Lambda	1.0+
AWS SDK	1.11.x and 2.2.0+
Cassandra Driver	3.0+
Couchbase Client	2.0+ (not including 3.x yet)
Dropwizard Views	0.7+
Elasticsearch API	5.0+ (not including 7.x yet)
Elasticsearch REST Client	5.0+
Finatra	2.9+
Geode Client	1.4+
Google HTTP Client	1.19+
Grizzly	2.0+ (disabled by default, see below)
Grizzly Client	1.9+
gRPC	1.5+
Hibernate	3.3+
HttpURLConnection	Java 7+
Hystrix	1.4+
JAX-RS	0.5+
JAX-RS Client	2.0+
JDBC	Java 7+
Jedis	1.4+
Jetty	8.0+
JMS	1.1+
JSP	2.3+
Kafka	0.11+
khttp	0.1+
Kubernetes Client	7.0+
Lettuce	4.0+ (not including 6.x yet)
Log4j 1	1.2+
Log4j 2	2.7+
Logback	1.0+
MongoDB Drivers	3.3+
Netty	3.8+
OkHttp	3.0+
Play	2.3+ (not including 2.8.x yet)
Play WS	1.0+
RabbitMQ Client	2.7+
Ratpack	1.4+
Reactor	3.1+
Rediscala	1.8+
RMI	Java 7+
RxJava	1.0+
Servlet	2.2+
Spark Web Framework	2.3+
Spring Data	1.8+
Spring Scheduling	3.1+
Spring Web MVC	3.1+
Spring Webflux	5.0+
Spymemcached	2.12+
Twilio	6.6+ (not including 8.x yet)
Vert.x	3.0+
Vert.x RxJava2	3.5+

Disabled instrumentations

Some instrumentations can produce too many spans and make traces very noisy. For this reason the following instrumentations are disabled by default:

• jdbc-datasource which creates spans whenever java.sql.DataSource#getConnection method is called.
• servlet-filter which creates spans around Servlet Filter methods.
• servlet-service which creates spans around Servlet methods.

To enable them, add otel.integration.<name>.enabled system property: -Dotel.integration.jdbc-datasource.enabled=true

Grizzly instrumentation

Whenever you use Grizzly for Servlet-based applications, you get better experience from Servlet-specific support. As these two instrumentations conflict with each other, more generic instrumentation for Grizzly http server is disabled by default. If needed, you can enable it by add the following system property: -Dotel.integration.grizzly.enabled=true

Suppressing specific auto-instrumentation

See Suppressing specific auto-instrumentation

Logger MDC auto-instrumentation

See Logger MDC auto-instrumentation

Manually instrumenting

⚠️ starting with 0.6.0, and prior to version 1.0.0, opentelemetry-javaagent-all.jar only supports manual instrumentation using the opentelemetry-api version with the same version number as the Java agent you are using. Starting with 1.0.0, the Java agent will start supporting multiple (1.0.0+) versions of opentelemetry-api.

You'll need to add a dependency on the opentelemetry-api library to get started.

Maven

  <dependencies>
    <dependency>
      <groupId>io.opentelemetry</groupId>
      <artifactId>opentelemetry-api</artifactId>
      <version>0.7.0</version>
    </dependency>
  </dependencies>

Gradle

dependencies {
    compile('io.opentelemetry:opentelemetry-api:0.7.0')
}

Now you can use the OpenTelemetry getTracer or the @WithSpan annotation to manually instrument your Java application.

Configure the OpenTelemetry getTracer

OpenTelemetry offers a tracer to easily enable custom instrumentation throughout your application. See the OpenTelemetry Java QuickStart for an example of how to configure it.

Configure a WithSpan annotation

If you want to configure custom instrumentation and don't want to use the OpenTelemetry getTracer and API directly, configure a @WithSpan annotation. Add the trace annotation to your application's code:

import io.opentelemetry.extensions.auto.annotations.WithSpan;

public class MyClass {
  @WithSpan
  public void MyLogic() {
      <...>
  }
}

You'll also need to add a dependency for this annotation:

Maven

  <dependencies>
    <dependency>
      <groupId>io.opentelemetry</groupId>
      <artifactId>opentelemetry-extension-auto-annotations</artifactId>
      <version>0.7.0</version>
    </dependency>
  </dependencies>

Gradle

dependencies {
    compile('io.opentelemetry:opentelemetry-extension-auto-annotations:0.7.0')
}

Each time the application invokes the annotated method, it creates a span that denote its duration and provides any thrown exceptions.

Suppressing @WithSpan instrumentation

This is useful in case you have code that is over-instrumented using @WithSpan, and you want to suppress some of them without modifying the code.

System property	Environment variable	Purpose
trace.annotated.methods.exclude	TRACE_ANNOTATED_METHODS_EXCLUDE	Suppress @WithSpan instrumentation for specific methods, format is "my.package.MyClass1[method1,method2];my.package.MyClass2[method3]"

Troubleshooting

To turn on the agent's internal debug logging:

-Dio.opentelemetry.javaagent.slf4j.simpleLogger.defaultLogLevel=debug

Note these logs are extremely verbose. Enable debug logging only when needed. Debug logging negatively impacts the performance of your application.

Roadmap to 1.0 (GA)

See GA Requirements

Contributing

See CONTRIBUTING.md.

Approvers (@open-telemetry/java-instrumentation-approvers):

• John Watson, Splunk
• Mateusz Rzeszutek, Splunk

Maintainers (@open-telemetry/java-instrumentation-maintainers):

• Anuraag Agrawal, AWS
• Nikita Salnikov-Tarnovski, Splunk
• Trask Stalnaker, Microsoft
• Tyler Benson, DataDog

Learn more about roles in the community repository.

Thanks to all the people who already contributed!