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OpenTracing API for Java. 🛑 This library is DEPRECATED! https://github.com/opentracing/specification/issues/163

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Quick Overview

OpenTracing-Java is the Java implementation of the OpenTracing API, which provides a vendor-neutral, open standard for distributed tracing. It allows developers to instrument their applications for distributed tracing without tying them to any particular tracing system implementation.

Pros

  • Vendor-neutral: Can be used with various tracing systems (Jaeger, Zipkin, etc.)
  • Easy to integrate: Provides simple APIs for instrumenting applications
  • Extensible: Supports custom span tags and log fields
  • Wide ecosystem support: Many frameworks and libraries offer OpenTracing integration

Cons

  • Deprecated: OpenTracing has been merged into OpenTelemetry, which is now the recommended standard
  • Limited feature set: Some advanced tracing features may not be available
  • Potential performance overhead: Instrumentation can add some overhead to application performance
  • Maintenance concerns: As a deprecated project, it may receive fewer updates and improvements

Code Examples

  1. Creating a simple span:
Tracer tracer = GlobalTracer.get();
Span span = tracer.buildSpan("operation-name").start();
try {
    // Your code here
} finally {
    span.finish();
}
  1. Adding tags to a span:
Span span = tracer.buildSpan("http-request").start();
span.setTag("http.method", "GET");
span.setTag("http.url", "https://example.com");
  1. Creating a child span:
Span parentSpan = tracer.activeSpan();
Span childSpan = tracer.buildSpan("child-operation")
    .asChildOf(parentSpan)
    .start();

Getting Started

To use OpenTracing in your Java project:

  1. Add the dependency to your pom.xml (for Maven):
<dependency>
    <groupId>io.opentracing</groupId>
    <artifactId>opentracing-api</artifactId>
    <version>0.33.0</version>
</dependency>
  1. Initialize a tracer (example using Jaeger):
import io.jaegertracing.Configuration;
import io.opentracing.Tracer;

public class TracerConfig {
    public static Tracer initTracer(String serviceName) {
        Configuration.SamplerConfiguration samplerConfig = Configuration.SamplerConfiguration.fromEnv().withType("const").withParam(1);
        Configuration.ReporterConfiguration reporterConfig = Configuration.ReporterConfiguration.fromEnv().withLogSpans(true);
        Configuration config = new Configuration(serviceName).withSampler(samplerConfig).withReporter(reporterConfig);
        return config.getTracer();
    }
}
  1. Set the global tracer:
import io.opentracing.util.GlobalTracer;

Tracer tracer = TracerConfig.initTracer("your-service-name");
GlobalTracer.registerIfAbsent(tracer);

Now you can use the tracer throughout your application using GlobalTracer.get().

Competitor Comparisons

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Java distributed tracing implementation compatible with Zipkin backend services.

Pros of Brave

  • More mature and widely adopted in production environments
  • Offers built-in integration with Zipkin for distributed tracing
  • Provides a simpler API with less configuration required

Cons of Brave

  • Less flexible than OpenTracing for custom implementations
  • Tied more closely to the Zipkin ecosystem, potentially limiting interoperability
  • May have a steeper learning curve for developers new to tracing concepts

Code Comparison

Brave:

Tracing tracing = Tracing.newBuilder()
    .localServiceName("my-service")
    .spanReporter(spanReporter)
    .build();
Tracer tracer = tracing.tracer();

OpenTracing:

Tracer tracer = new CustomTracerImpl();
GlobalTracer.registerIfAbsent(tracer);

Brave focuses on simplicity and integration with Zipkin, while OpenTracing provides a more abstract and flexible approach. Brave's API is generally more concise, but OpenTracing offers greater extensibility for custom implementations. Both libraries serve the purpose of distributed tracing, but cater to different use cases and preferences in terms of ecosystem integration and API design.

APM, Application Performance Monitoring System

Pros of SkyWalking

  • More comprehensive observability solution, including APM, metrics, and logging
  • Built-in UI for visualization and analysis
  • Supports multiple languages and frameworks out of the box

Cons of SkyWalking

  • Heavier and more complex to set up compared to OpenTracing
  • Steeper learning curve for full utilization of features
  • Less flexibility for custom instrumentation

Code Comparison

SkyWalking agent configuration:

-javaagent:/path/to/skywalking-agent.jar
-Dskywalking.agent.service_name=your-service-name
-Dskywalking.collector.backend_service=localhost:11800

OpenTracing initialization:

Tracer tracer = new CustomTracer();
GlobalTracer.registerIfAbsent(tracer);

Span span = tracer.buildSpan("operation-name").start();
try (Scope scope = tracer.activateSpan(span)) {
    // Your code here
}

SkyWalking provides a more automated approach to instrumentation, while OpenTracing requires manual span creation and management. SkyWalking offers a broader set of features but at the cost of increased complexity, whereas OpenTracing focuses on providing a standardized API for distributed tracing with greater flexibility for custom implementations.

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Pros of Zipkin

  • Full-featured distributed tracing system with built-in UI and storage options
  • Supports multiple languages and frameworks out-of-the-box
  • Provides a complete ecosystem for trace collection, storage, and visualization

Cons of Zipkin

  • More complex setup and configuration compared to OpenTracing
  • Less flexibility in terms of instrumentation and custom implementations
  • Steeper learning curve for developers new to distributed tracing

Code Comparison

Zipkin instrumentation example:

Span span = tracer.newTrace().name("encode").start();
try {
  doSomethingExpensive();
} finally {
  span.finish();
}

OpenTracing instrumentation example:

Span span = tracer.buildSpan("encode").start();
try (Scope scope = tracer.activateSpan(span)) {
  doSomethingExpensive();
} finally {
  span.finish();
}

Both examples show similar syntax for creating and finishing spans, but OpenTracing provides a more explicit scope management approach. Zipkin's implementation is slightly more concise, while OpenTracing offers more control over span activation and propagation.

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README

Build Status Coverage Status Released Version

OpenTracing API for Java

This library is a Java platform API for OpenTracing.

Required Reading

In order to understand the Java platform API, one must first be familiar with the OpenTracing project and terminology more specifically.

Usage

Initialization

Initialization is OpenTracing-implementation-specific. Generally speaking, the pattern is to initialize a Tracer once for the entire process and to use that Tracer for the remainder of the process lifetime. It is a best practice to set the GlobalTracer, even if also making use of cleaner, more modern dependency injection. (See the next section below for rationale)

Accessing the Tracer

Where possible, use some form of dependency injection (of which there are many) to access the Tracer instance. For vanilla application code, this is often reasonable and cleaner for all of the usual DI reasons.

That said, instrumentation for packages that are themselves statically configured (e.g., JDBC drivers) may be unable to make use of said DI mechanisms for Tracer access, and as such they should fall back on GlobalTracer. By and large, OpenTracing instrumentation should always allow the programmer to specify a Tracer instance to use for instrumentation, though the GlobalTracer is a reasonable fallback or default value.

Within-process propagation and the Scope

For any thread, at most one Span may be "active". Of course there may be many other Spans involved with the thread which are (a) started, (b) not finished, and yet (c) not "active": perhaps they are waiting for I/O, blocked on a child Span, or otherwise off of the critical path.

It's inconvenient to pass an active Span from function to function manually, so OpenTracing requires that every Tracer contains a ScopeManager that grants access to the active Span along with a Scope to signal deactivation. Any Span may be transferred to another callback or thread, but not Scope; more on this below.

Accessing the active Span

Access to the active span is straightforward:

io.opentracing.Tracer tracer = ...;
...
Span span = tracer.scopeManager().activeSpan();
if (span != null) {
    span.log("...");
}

Starting a new Span

The common case starts a Span and then sets it as the active instance via ScopeManager:

io.opentracing.Tracer tracer = ...;
...
Span span = tracer.buildSpan("someWork").start();
try (Scope scope = tracer.scopeManager().activate(span)) {
    // Do things.
} catch(Exception ex) {
    Tags.ERROR.set(span, true);
    span.log(Map.of(Fields.EVENT, "error", Fields.ERROR_OBJECT, ex, Fields.MESSAGE, ex.getMessage()));
} finally {
    span.finish();
}

If there is already an active Span, it will act as the parent to any newly started Span unless the programmer invokes ignoreActiveSpan() at buildSpan() time or specified parent context explicitly:

io.opentracing.Tracer tracer = ...;
...
Span span = tracer.buildSpan("someWork").ignoreActiveSpan().start();

Deferring asynchronous work

Consider the case where a Span's lifetime logically starts in one thread and ends in another. For instance, the Span's own internal timing breakdown might look like this:

 [ ServiceHandlerSpan                                 ]
 |·FunctionA·|·····waiting on an RPC······|·FunctionB·|
            
---------------------------------------------------------> time

The "ServiceHandlerSpan" is active while it's running FunctionA and FunctionB, and inactive while it's waiting on an RPC (presumably modelled as its own Span, though that's not the concern here).

The ScopeManager API makes it possible to fetch the span in FunctionA and re-activate it in FunctionB. Note that every Tracer contains a ScopeManager. These are the steps:

  1. Start a Span via start.
  2. At the beginning of the closure/Runnable/Future/etc itself, invoke tracer.scopeManager().activate(span) to re-activate the Span and get a new Scope, then close() it when the Span is no longer active (or use try-with-resources for less typing).
  3. Invoke span.finish() when the work is done.

Here is an example using CompletableFuture:

io.opentracing.Tracer tracer = ...;
...
// STEP 1 ABOVE: start the Span.
final Span span = tracer.buildSpan("ServiceHandlerSpan").start();
try (Scope scope = tracer.scopeManager().activate(span)) {
    // Do work.
    ...

    future = CompletableFuture.supplyAsync(() -> {

        // STEP 2 ABOVE: reactivate the Span in the callback.
        try (Scope scope = tracer.scopeManager().activate(span)) {
            ...
        }
    }).thenRun(() -> {
        // STEP 3 ABOVE: finish the Span when the work is done.
        span.finish();
    });
}

Observe that passing Scope to another thread or callback is not supported. Only Span can be used under this scenario.

In practice, all of this is most fluently accomplished through the use of an OpenTracing-aware ExecutorService and/or Runnable/Callable adapter; they factor out most of the typing.

Deprecated members since 0.31

ScopeManager.active(Span, boolean) and SpanBuilder.startActive() have been deprecated as part of removing automatic Span finish upon Scope close, as doing it through try-with statements would make it hard to properly handle errors (Span objects would get finished before a catch block would be reached). This improves API safety, and makes it more difficult to do the wrong thing and end up with unexpected errors.

Scope.span() and ScopeManager.scope() have been deprecated in order to prevent the anti-pattern of passing Scope objects between threads (Scope objects are not guaranteed to be thread-safe). Now Scope will be responsible for Span deactivation only, instead of being a Span container.

Instrumentation Tests

This project has a working design of interfaces for the OpenTracing API. There is a MockTracer to facilitate unit-testing of OpenTracing Java instrumentation.

Packages are deployed to Maven Central under the io.opentracing group.

Development

This is a maven project, and provides a wrapper, ./mvnw to pin a consistent version. Run ./mvnw clean install to build, run tests, and create jars.

This wrapper was generated by mvn -N io.takari:maven:wrapper -Dmaven=3.5.0

License

Apache 2.0 License.

Contributing

See Contributing for matters such as license headers.