Spring Cloud Sleuth Reference Documentation

1. Legal

3.0.3

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2. Getting Started

If you are getting started with Spring Cloud Sleuth or Spring in general, start by reading this section. It answers the basic “what?”, “how?” and “why?” questions. It includes an introduction to Spring Cloud Sleuth, along with installation instructions. We then walk you through building your first Spring Cloud Sleuth application, discussing some core principles as we go.

2.1. Introducing Spring Cloud Sleuth

Spring Cloud Sleuth provides API for distributed tracing solution for Spring Cloud. It integrates with OpenZipkin Brave

Spring Cloud Sleuth is able to trace your requests and messages so that you can correlate that communication to corresponding log entries. You can also export the tracing information to an external system to visualize latency. Spring Cloud Sleuth supports OpenZipkin compatible systems directly.

2.1.1. Terminology

Spring Cloud Sleuth borrows Dapper’s terminology.

Span: The basic unit of work. For example, sending an RPC is a new span, as is sending a response to an RPC. Spans also have other data, such as descriptions, timestamped events, key-value annotations (tags), the ID of the span that caused them, and process IDs (normally IP addresses).

Spans can be started and stopped, and they keep track of their timing information. Once you create a span, you must stop it at some point in the future.

Trace: A set of spans forming a tree-like structure. For example, if you run a distributed big-data store, a trace might be formed by a PUT request.

Annotation/Event: Used to record the existence of an event in time.

Conceptually in a typical RPC scenario we mark these events to highlight what kind of an action took place (it doesn’t mean that physically such an event will be set on a span).

cs: Client Sent. The client has made a request. This annotation indicates the start of the span.
sr: Server Received: The server side got the request and started processing it. Subtracting the cs timestamp from this timestamp reveals the network latency.
ss: Server Sent. Annotated upon completion of request processing (when the response got sent back to the client). Subtracting the sr timestamp from this timestamp reveals the time needed by the server side to process the request.
cr: Client Received. Signifies the end of the span. The client has successfully received the response from the server side. Subtracting the cs timestamp from this timestamp reveals the whole time needed by the client to receive the response from the server.

The following image shows how Span and Trace look in a system.

Each color of a note signifies a span (there are seven spans - from A to G). Consider the following note:

Trace Id = X
Span Id = D
Client Sent

This note indicates that the current span has Trace Id set to X and Span Id set to D. Also, from the RPC perspective, the Client Sent event took place.

Let’s consider more notes:

Trace Id = X
Span Id = A
(no custom span)

Trace Id = X
Span Id = C
(custom span)

You can continue with a created span (example with no custom span indication) or you can create child spans manually (example with custom span indication).

The following image shows how parent-child relationships of spans look:

2.2. Developing Your First Spring Cloud sleuth-based Application

This section describes how to develop a small “Hello World!” web application that highlights some of Spring Cloud Sleuth’s key features. We use Maven to build this project, since most IDEs support it. As the tracer implementation we’ll use OpenZipkin Brave.

You can shortcut the steps below by going to start.spring.io and choosing the "Web" and "Spring Cloud Sleuth" starters from the dependencies searcher. Doing so generates a new project structure so that you can start coding right away.

2.2.1. Creating the POM

We need to start by creating a Maven pom.xml file. The pom.xml is the recipe that is used to build your project. Open your favorite text editor and add the following:

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.example</groupId>
    <artifactId>myproject</artifactId>
    <version>0.0.1-SNAPSHOT</version>

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <!-- Use the latest compatible Spring Boot version. You can check https://spring.io/projects/spring-cloud for more information -->
        <version>$2.4.6</version>
    </parent>

    <!-- Spring Cloud Sleuth requires a Spring Cloud BOM -->
    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>org.springframework.cloud</groupId>
                <artifactId>spring-cloud-dependencies</artifactId>
                <!-- Provide the latest stable Spring Cloud release train version (e.g. 2020.0.0) -->
                <version>${release.train.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
        </dependencies>
    </dependencyManagement>

    <!-- (you don't need this if you are using a GA version) -->
    <repositories>
        <repository>
            <id>spring-snapshots</id>
            <url>https://repo.spring.io/snapshot</url>
            <snapshots><enabled>true</enabled></snapshots>
        </repository>
        <repository>
            <id>spring-milestones</id>
            <url>https://repo.spring.io/milestone</url>
        </repository>
    </repositories>
    <pluginRepositories>
        <pluginRepository>
            <id>spring-snapshots</id>
            <url>https://repo.spring.io/snapshot</url>
        </pluginRepository>
        <pluginRepository>
            <id>spring-milestones</id>
            <url>https://repo.spring.io/milestone</url>
        </pluginRepository>
    </pluginRepositories>
</project>

The preceding listing should give you a working build. You can test it by running mvn package (for now, you can ignore the “jar will be empty - no content was marked for inclusion!” warning).

At this point, you could import the project into an IDE (most modern Java IDEs include built-in support for Maven). For simplicity, we continue to use a plain text editor for this example.

2.2.2. Adding Classpath Dependencies

To add the necessary dependencies, edit your pom.xml and add the spring-boot-starter-web dependency immediately below the parent section:

<dependencies>
    <!-- Boot's Web support -->
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <!-- Sleuth with Brave tracer implementation -->
    <dependency>
        <groupId>org.springframework.cloud</groupId>
        <artifactId>spring-cloud-starter-sleuth</artifactId>
    </dependency>
</dependencies>

2.2.3. Writing the Code

To finish our application, we need to create a single Java file. By default, Maven compiles sources from src/main/java, so you need to create that directory structure and then add a file named src/main/java/Example.java to contain the following code:

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.boot.*;
import org.springframework.boot.autoconfigure.*;
import org.springframework.web.bind.annotation.*;

@RestController
@EnableAutoConfiguration
public class Example {

    private static final Logger log = LoggerFactory.getLogger(Backend.class);

    @RequestMapping("/")
    String home() {
        log.info("Hello world!");
        return "Hello World!";
    }

    public static void main(String[] args) {
        SpringApplication.run(Example.class, args);
    }

}

Although there is not much code here, quite a lot is going on. We step through the important parts in the next few sections.

The @RestController and @RequestMapping Annotations

Spring Boot sets up the Rest Controller and makes our application bind to a Tomcat port. Spring Cloud Sleuth with Brave tracer will provide instrumentation of the incoming request.

2.2.4. Running the Example

At this point, your application should work. Since you used the spring-boot-starter-parent POM, you have a useful run goal that you can use to start the application. Type SPRING_APPLICATION_NAME=backend mvn spring-boot:run from the root project directory to start the application. You should see output similar to the following:

$ mvn spring-boot:run

  .   ____          _            __ _ _
 /\\ / ___'_ __ _ _(_)_ __  __ _ \ \ \ \
( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \
 \\/  ___)| |_)| | | | | || (_| |  ) ) ) )
  '  |____| .__|_| |_|_| |_\__, | / / / /
 =========|_|==============|___/=/_/_/_/
 ...
....... . . .
....... . . . (log output here)
....... . . .
........ Started Example in 2.222 seconds (JVM running for 6.514)

If you open a web browser to localhost:8080, you should see the following output:

Hello World!

If you check the logs you should see a similar output

2020-10-21 12:01:16.285  INFO [backend,0b6aaf642574edd3,0b6aaf642574edd3] 289589 --- [nio-9000-exec-1] Example              : Hello world!

You can notice that the logging format has been updated with the following information [backend,0b6aaf642574edd3,0b6aaf642574edd3. This entry corresponds to [application name,trace id, span id]. The application name got read from the SPRING_APPLICATION_NAME environment variable.

Instead of logging the request in the handler explicitly, you could set logging.level.org.springframework.web.servlet.DispatcherServlet=DEBUG.

To gracefully exit the application, press ctrl-c.

2.3. Next Steps

Hopefully, this section provided some of the Spring Cloud Sleuth basics and got you on your way to writing your own applications. If you are a task-oriented type of developer, you might want to jump over to spring.io and check out some of the getting started guides that solve specific “How do I do that with Spring?” problems. We also have Spring Cloud Sleuth-specific “how-to” reference documentation.

Otherwise, the next logical step is to read Using Spring Cloud Sleuth. If you are really impatient, you could also jump ahead and read about Spring Cloud Sleuth features.

You can find the default project samples at samples.

3. Using Spring Cloud Sleuth

This section goes into more detail about how you should use Spring Cloud Sleuth. It covers topics such as controlling the span lifecycle with Spring Cloud Sleuth API or via annotations. We also cover some Spring Cloud Sleuth best practices.

If you are starting out with Spring Cloud Sleuth, you should probably read the Getting Started guide before diving into this section.

3.1. Span Lifecycle with Spring Cloud Sleuth’s API

Spring Cloud Sleuth Core in its api module contains all necessary interfaces to be implemented by a tracer. The project comes with OpenZipkin Brave implementation. You can check how the tracers are bridged to the Sleuth’s API by looking at the org.springframework.cloud.sleuth.brave.bridge.

The most commonly used interfaces are:

org.springframework.cloud.sleuth.Tracer - Using a tracer, you can create a root span capturing the critical path of a request.
org.springframework.cloud.sleuth.Span - Span is a single unit of work that needs to be started and stopped. Contains timing information and events and tags.

You can also use your tracer implementation’s API directly.

Let’s look at the following Span lifecycle actions.

start: When you start a span, its name is assigned and the start timestamp is recorded.
end: The span gets finished (the end time of the span is recorded) and, if the span is sampled, it is eligible for collection (e.g. to Zipkin).
continue: The span gets continued e.g. in another thread.
create with explicit parent: You can create a new span and set an explicit parent for it.

Spring Cloud Sleuth creates an instance of Tracer for you. In order to use it, you can autowire it.

3.1.1. Creating and Ending Spans

You can manually create spans by using the Tracer, as shown in the following example:

// Start a span. If there was a span present in this thread it will become
// the `newSpan`'s parent.
Span newSpan = this.tracer.nextSpan().name("calculateTax");
try (Tracer.SpanInScope ws = this.tracer.withSpan(newSpan.start())) {
    // ...
    // You can tag a span
    newSpan.tag("taxValue", taxValue);
    // ...
    // You can log an event on a span
    newSpan.event("taxCalculated");
}
finally {
    // Once done remember to end the span. This will allow collecting
    // the span to send it to a distributed tracing system e.g. Zipkin
    newSpan.end();
}

In the preceding example, we could see how to create a new instance of the span. If there is already a span in this thread, it becomes the parent of the new span.

Always clean after you create a span.

If your span contains a name greater than 50 chars, that name is truncated to 50 chars. Your names have to be explicit and concrete. Big names lead to latency issues and sometimes even exceptions.

3.1.2. Continuing Spans

Sometimes, you do not want to create a new span but you want to continue one. An example of such a situation might be as follows:

AOP: If there was already a span created before an aspect was reached, you might not want to create a new span.

To continue a span, you can store the span in one thread and pass it on to another one as shown in the example below.

Span spanFromThreadX = this.tracer.nextSpan().name("calculateTax");
try (Tracer.SpanInScope ws = this.tracer.withSpan(spanFromThreadX.start())) {
    executorService.submit(() -> {
        // Pass the span from thread X
        Span continuedSpan = spanFromThreadX;
        // ...
        // You can tag a span
        continuedSpan.tag("taxValue", taxValue);
        // ...
        // You can log an event on a span
        continuedSpan.event("taxCalculated");
    }).get();
}
finally {
    spanFromThreadX.end();
}

3.1.3. Creating a Span with an explicit Parent

You might want to start a new span and provide an explicit parent of that span. Assume that the parent of a span is in one thread and you want to start a new span in another thread. Whenever you call Tracer.nextSpan(), it creates a span in reference to the span that is currently in scope. You can put the span in scope and then call Tracer.nextSpan(), as shown in the following example:

// let's assume that we're in a thread Y and we've received
// the `initialSpan` from thread X. `initialSpan` will be the parent
// of the `newSpan`
Span newSpan = null;
try (Tracer.SpanInScope ws = this.tracer.withSpan(initialSpan)) {
    newSpan = this.tracer.nextSpan().name("calculateCommission");
    // ...
    // You can tag a span
    newSpan.tag("commissionValue", commissionValue);
    // ...
    // You can log an event on a span
    newSpan.event("commissionCalculated");
}
finally {
    // Once done remember to end the span. This will allow collecting
    // the span to send it to e.g. Zipkin. The tags and events set on the
    // newSpan will not be present on the parent
    if (newSpan != null) {
        newSpan.end();
    }
}

After creating such a span, you must finish it. Otherwise it is not reported (e.g. to Zipkin).

You can also use the Tracer.nextSpan(Span parentSpan) version to provide the parent span explicitly.

3.2. Naming Spans

Picking a span name is not a trivial task. A span name should depict an operation name. The name should be low cardinality, so it should not include identifiers.

Since there is a lot of instrumentation going on, some span names are artificial:

controller-method-name when received by a Controller with a method name of controllerMethodName
async for asynchronous operations done with wrapped Callable and Runnable interfaces.
Methods annotated with @Scheduled return the simple name of the class.

Fortunately, for asynchronous processing, you can provide explicit naming.

3.2.1. `@SpanName` Annotation

You can name the span explicitly by using the @SpanName annotation, as shown in the following example:

@SpanName("calculateTax")
class TaxCountingRunnable implements Runnable {

    @Override
    public void run() {
        // perform logic
    }

}

In this case, when processed in the following manner, the span is named calculateTax:

Runnable runnable = new TraceRunnable(this.tracer, spanNamer, new TaxCountingRunnable());
Future<?> future = executorService.submit(runnable);
// ... some additional logic ...
future.get();

3.2.2. `toString()` Method

It is pretty rare to create separate classes for Runnable or Callable. Typically, one creates an anonymous instance of those classes. You cannot annotate such classes. To overcome that limitation, if there is no @SpanName annotation present, we check whether the class has a custom implementation of the toString() method.

Running such code leads to creating a span named calculateTax, as shown in the following example:

Runnable runnable = new TraceRunnable(this.tracer, spanNamer, new Runnable() {
    @Override
    public void run() {
        // perform logic
    }

    @Override
    public String toString() {
        return "calculateTax";
    }
});
Future<?> future = executorService.submit(runnable);
// ... some additional logic ...
future.get();

3.3. Managing Spans with Annotations

There are a number of good reasons to manage spans with annotations, including:

API-agnostic means to collaborate with a span. Use of annotations lets users add to a span with no library dependency on a span api. Doing so lets Sleuth change its core API to create less impact to user code.
Reduced surface area for basic span operations. Without this feature, you must use the span api, which has lifecycle commands that could be used incorrectly. By only exposing scope, tag, and log functionality, you can collaborate without accidentally breaking span lifecycle.
Collaboration with runtime generated code. With libraries such as Spring Data and Feign, the implementations of interfaces are generated at runtime. Consequently, span wrapping of objects was tedious. Now you can provide annotations over interfaces and the arguments of those interfaces.

3.3.1. Creating New Spans

If you do not want to create local spans manually, you can use the @NewSpan annotation. Also, we provide the @SpanTag annotation to add tags in an automated fashion.

Now we can consider some examples of usage.

@NewSpan
void testMethod();

Annotating the method without any parameter leads to creating a new span whose name equals the annotated method name.

@NewSpan("customNameOnTestMethod4")
void testMethod4();

If you provide the value in the annotation (either directly or by setting the name parameter), the created span has the provided value as the name.

// method declaration
@NewSpan(name = "customNameOnTestMethod5")
void testMethod5(@SpanTag("testTag") String param);

// and method execution
this.testBean.testMethod5("test");

You can combine both the name and a tag. Let’s focus on the latter. In this case, the value of the annotated method’s parameter runtime value becomes the value of the tag. In our sample, the tag key is testTag, and the tag value is test.

@NewSpan(name = "customNameOnTestMethod3")
@Override
public void testMethod3() {
}

You can place the @NewSpan annotation on both the class and an interface. If you override the interface’s method and provide a different value for the @NewSpan annotation, the most concrete one wins (in this case customNameOnTestMethod3 is set).

3.3.2. Continuing Spans

If you want to add tags and annotations to an existing span, you can use the @ContinueSpan annotation, as shown in the following example:

// method declaration
@ContinueSpan(log = "testMethod11")
void testMethod11(@SpanTag("testTag11") String param);

// method execution
this.testBean.testMethod11("test");
this.testBean.testMethod13();

(Note that, in contrast with the @NewSpan annotation ,you can also add logs with the log parameter.)

That way, the span gets continued and:

Log entries named testMethod11.before and testMethod11.after are created.
If an exception is thrown, a log entry named testMethod11.afterFailure is also created.
A tag with a key of testTag11 and a value of test is created.

3.3.3. Advanced Tag Setting

There are 3 different ways to add tags to a span. All of them are controlled by the SpanTag annotation. The precedence is as follows:

Try with a bean of TagValueResolver type and a provided name.
If the bean name has not been provided, try to evaluate an expression. We search for a TagValueExpressionResolver bean. The default implementation uses SPEL expression resolution. IMPORTANT You can only reference properties from the SPEL expression. Method execution is not allowed due to security constraints.
If we do not find any expression to evaluate, return the toString() value of the parameter.

Custom Extractor

The value of the tag for the following method is computed by an implementation of TagValueResolver interface. Its class name has to be passed as the value of the resolver attribute.

Consider the following annotated method:

@NewSpan
public void getAnnotationForTagValueResolver(
        @SpanTag(key = "test", resolver = TagValueResolver.class) String test) {
}

Now further consider the following TagValueResolver bean implementation:

@Bean(name = "myCustomTagValueResolver")
public TagValueResolver tagValueResolver() {
    return parameter -> "Value from myCustomTagValueResolver";
}

The two preceding examples lead to setting a tag value equal to Value from myCustomTagValueResolver.

Resolving Expressions for a Value

Consider the following annotated method:

@NewSpan
public void getAnnotationForTagValueExpression(
        @SpanTag(key = "test", expression = "'hello' + ' characters'") String test) {
}

No custom implementation of a TagValueExpressionResolver leads to evaluation of the SPEL expression, and a tag with a value of 4 characters is set on the span. If you want to use some other expression resolution mechanism, you can create your own implementation of the bean.

Using The `toString()` Method

Consider the following annotated method:

@NewSpan
public void getAnnotationForArgumentToString(@SpanTag("test") Long param) {
}

Running the preceding method with a value of 15 leads to setting a tag with a String value of "15".

3.4. What to Read Next

You should now understand how you can use Spring Cloud Sleuth and some best practices that you should follow. You can now go on to learn about specific Spring Cloud Sleuth features, or you could skip ahead and read about the integrations available in Spring Cloud Sleuth.

4. Spring Cloud Sleuth Features

This section dives into the details of Spring Cloud Sleuth. Here you can learn about the key features that you may want to use and customize. If you have not already done so, you might want to read the "Getting Started" and "Using Spring Cloud Sleuth" sections, so that you have a good grounding in the basics.

4.1. Context Propagation

Traces connect from service to service using header propagation. The default format is B3. Similar to data formats, you can configure alternate header formats also, provided trace and span IDs are compatible with B3. Most notably, this means the trace ID and span IDs are lower-case hex, not UUIDs. Besides trace identifiers, other properties (Baggage) can also be passed along with the request. Remote Baggage must be predefined, but is flexible otherwise.

To use the provided defaults you can set the spring.sleuth.propagation.type property. The value can be a list in which case you will propagate more tracing headers.

For Brave we support AWS, B3, W3C propagation types.

You can read more about how to provide custom context propagation in this "how to section".

4.2. Sampling

Spring Cloud Sleuth pushes the sampling decision down to the tracer implementation. However, there are cases where you can change the sampling decision at runtime.

One of such cases is skip reporting of certain client spans. To achieve that you can set the spring.sleuth.web.client.skip-pattern with the path patterns to be skipped. Another option is to provide your own custom org.springframework.cloud.sleuth.SamplerFunction<`org.springframework.cloud.sleuth.http.HttpRequest> implementation and define when a given HttpRequest should not be sampled.

4.3. Baggage

Distributed tracing works by propagating fields inside and across services that connect the trace together: traceId and spanId notably. The context that holds these fields can optionally push other fields that need to be consistent regardless of many services are touched. The simple name for these extra fields is "Baggage".

Sleuth allows you to define which baggage are permitted to exist in the trace context, including what header names are used.

The following example shows setting baggage values using Spring Cloud Sleuth’s API:

try (Tracer.SpanInScope ws = this.tracer.withSpan(initialSpan)) {
    BaggageInScope businessProcess = this.tracer.createBaggage(BUSINESS_PROCESS).set("ALM");
    BaggageInScope countryCode = this.tracer.createBaggage(COUNTRY_CODE).set("FO");
    try {

There is currently no limitation of the count or size of baggage items. Keep in mind that too many can decrease system throughput or increase RPC latency. In extreme cases, too much baggage can crash the application, due to exceeding transport-level message or header capacity.

You can use properties to define fields that have no special configuration such as name mapping:

spring.sleuth.baggage.remote-fields is a list of header names to accept and propagate to remote services.
spring.sleuth.baggage.local-fields is a list of names to propagate locally

No prefixing applies with these keys. What you set is literally what is used.

A name set in either of these properties will result in a Baggage of the same name.

In order to automatically set the baggage values to Slf4j’s MDC, you have to set the spring.sleuth.baggage.correlation-fields property with a list of allowed local or remote keys. E.g. spring.sleuth.baggage.correlation-fields=country-code will set the value of the country-code baggage into MDC.

Note that the extra field is propagated and added to MDC starting with the next downstream trace context. To immediately add the extra field to MDC in the current trace context, configure the field to flush on update:

// configuration
@Bean
BaggageField countryCodeField() {
    return BaggageField.create("country-code");
}

@Bean
ScopeDecorator mdcScopeDecorator() {
    return MDCScopeDecorator.newBuilder()
            .clear()
            .add(SingleCorrelationField.newBuilder(countryCodeField())
                    .flushOnUpdate()
                    .build())
            .build();
}

// service
@Autowired
BaggageField countryCodeField;

countryCodeField.updateValue("new-value");

Remember that adding entries to MDC can drastically decrease the performance of your application!

If you want to add the baggage entries as tags, to make it possible to search for spans via the baggage entries, you can set the value of spring.sleuth.baggage.tag-fields with a list of allowed baggage keys. To disable the feature you have to pass the spring.sleuth.propagation.tag.enabled=false property.

4.3.1. Baggage versus Tags

Like trace IDs, Baggage is attached to messages or requests, usually as headers. Tags are key value pairs sent in a Span to Zipkin. Baggage values are not added spans by default, which means you can’t search based on Baggage unless you opt-in.

To make baggage also tags, use the property spring.sleuth.baggage.tag-fields like so:

spring:
  sleuth:
    baggage:
      foo: bar
      remoteFields:
        - country-code
        - x-vcap-request-id
      tagFields:
        - country-code

4.4. OpenZipkin Brave Tracer Integration

Spring Cloud Sleuth integrates with the OpenZipkin Brave tracer via the bridge that is available in the spring-cloud-sleuth-brave module. In this section you can read about specific Brave integrations.

You can choose to use either Sleuth’s API or the Brave API directly in your code (e.g. either Sleuth’s Tracer or Brave’s Tracer). If you want to use this tracer implementation’s API directly please read their documentation to learn more about it.

4.4.1. Brave Basics

Here are the most core types you might use:

brave.SpanCustomizer - to change the span currently in progress
brave.Tracer - to get a start new spans ad-hoc

Here are the most relevant links from the OpenZipkin Brave project:

4.4.2. Brave Sampling

Sampling only applies to tracing backends, such as Zipkin. Trace IDs appear in logs regardless of sample rate. Sampling is a way to prevent overloading the system, by consistently tracing some, but not all requests.

The default rate of 10 traces per second is controlled by the spring.sleuth.sampler.rate property and applies when we know Sleuth is used for reasons besides logging. Use a rate above 100 traces per second with extreme caution as it can overload your tracing system.

The sampler can be set by Java Config also, as shown in the following example:

@Bean
public Sampler defaultSampler() {
    return Sampler.ALWAYS_SAMPLE;
}

You can set the HTTP header b3 to 1, or, when doing messaging, you can set the spanFlags header to 1. Doing so forces the current request to be sampled regardless of configuration.

By default samplers will work with the refresh scope mechanism. That means that you can change the sampling properties at runtime, refresh the application and the changes will be reflected. However, sometimes the fact of creating a proxy around samplers and calling it from too early (from @PostConstruct annotated method) may lead to dead locks. In such a case either create a sampler bean explicitly, or set the property spring.sleuth.sampler.refresh.enabled to false to disable the refresh scope support.

4.4.3. Brave Baggage Java configuration

If you need to do anything more advanced than above, do not define properties and instead use a @Bean config for the baggage fields you use.

BaggagePropagationCustomizer sets up baggage fields
Add a SingleBaggageField to control header names for a Baggage.
CorrelationScopeCustomizer sets up MDC fields
Add a SingleCorrelationField to change the MDC name of a Baggage or if updates flush.

4.4.4. Brave Customizations

The brave.Tracer object is fully managed by sleuth, so you rarely need to affect it. That said, Sleuth supports a number of Customizer types, that allow you to configure anything not already done by Sleuth with auto-configuration or properties.

If you define one of the following as a Bean, Sleuth will invoke it to customize behaviour:

RpcTracingCustomizer - for RPC tagging and sampling policy
HttpTracingCustomizer - for HTTP tagging and sampling policy
MessagingTracingCustomizer - for messaging tagging and sampling policy
CurrentTraceContextCustomizer - to integrate decorators such as correlation.
BaggagePropagationCustomizer - for propagating baggage fields in process and over headers
CorrelationScopeDecoratorCustomizer - for scope decorations such as MDC (logging) field correlation

Brave Sampling Customizations

If client /server sampling is required, just register a bean of type brave.sampler.SamplerFunction<HttpRequest> and name the bean sleuthHttpClientSampler for client sampler and sleuthHttpServerSampler for server sampler.

For your convenience the @HttpClientSampler and @HttpServerSampler annotations can be used to inject the proper beans or to reference the bean names via their static String NAME fields.

Check out Brave’s code to see an example of how to make a path-based sampler github.com/openzipkin/brave/tree/master/instrumentation/http#sampling-policy

If you want to completely rewrite the HttpTracing bean you can use the SkipPatternProvider interface to retrieve the URL Pattern for spans that should be not sampled. Below you can see an example of usage of SkipPatternProvider inside a server side, Sampler<HttpRequest>.

@Configuration(proxyBeanMethods = false)
    class Config {
  @Bean(name = HttpServerSampler.NAME)
  SamplerFunction<HttpRequest> myHttpSampler(SkipPatternProvider provider) {
      Pattern pattern = provider.skipPattern();
      return request -> {
          String url = request.path();
          boolean shouldSkip = pattern.matcher(url).matches();
          if (shouldSkip) {
              return false;
          }
          return null;
      };
  }
}

4.4.5. Brave Messaging

Sleuth automatically configures the MessagingTracing bean which serves as a foundation for Messaging instrumentation such as Kafka or JMS.

If a customization of producer / consumer sampling of messaging traces is required, just register a bean of type brave.sampler.SamplerFunction<MessagingRequest> and name the bean sleuthProducerSampler for producer sampler and sleuthConsumerSampler for consumer sampler.

For your convenience the @ProducerSampler and @ConsumerSampler annotations can be used to inject the proper beans or to reference the bean names via their static String NAME fields.

Ex. Here’s a sampler that traces 100 consumer requests per second, except for the "alerts" channel. Other requests will use a global rate provided by the Tracing component.

@Configuration(proxyBeanMethods = false)
    class Config {
  @Bean(name = ConsumerSampler.NAME)
  SamplerFunction<MessagingRequest> myMessagingSampler() {
      return MessagingRuleSampler.newBuilder().putRule(channelNameEquals("alerts"), Sampler.NEVER_SAMPLE)
              .putRule(Matchers.alwaysMatch(), RateLimitingSampler.create(100)).build();
  }
}

For more, see github.com/openzipkin/brave/tree/master/instrumentation/messaging#sampling-policy

4.4.6. Brave Opentracing

You can integrate with Brave and OpenTracing via the io.opentracing.brave:brave-opentracing bridge. Just add it to the classpath and the OpenTracing Tracer will be set up automatically.

4.5. Sending Spans to Zipkin

Spring Cloud Sleuth provides various integrations with the OpenZipkin distributed tracing system. Regardless of the chosen tracer implementation it’s enough to add spring-cloud-sleuth-zipkin to the classpath to start sending spans to Zipkin. You can choose whether to do that via HTTP or messaging. You can read more about how to do that in "how to section".

When the span is closed, it is sent to Zipkin over HTTP. The communication is asynchronous. You can configure the URL by setting the spring.zipkin.baseUrl property, as follows:

spring.zipkin.baseUrl: https://192.168.99.100:9411/

If you want to find Zipkin through service discovery, you can pass the Zipkin’s service ID inside the URL, as shown in the following example for zipkinserver service ID:

spring.zipkin.baseUrl: https://zipkinserver/

To disable this feature just set spring.zipkin.discovery-client-enabled to false.

When the Discovery Client feature is enabled, Sleuth uses LoadBalancerClient to find the URL of the Zipkin Server. It means that you can set up the load balancing configuration.

If you have web, rabbit, activemq or kafka together on the classpath, you might need to pick the means by which you would like to send spans to zipkin. To do so, set web, rabbit, activemq or kafka to the spring.zipkin.sender.type property. The following example shows setting the sender type for web:

spring.zipkin.sender.type: web

To customize the RestTemplate that sends spans to Zipkin via HTTP, you can register the ZipkinRestTemplateCustomizer bean.

@Configuration(proxyBeanMethods = false)
    class MyConfig {
    @Bean ZipkinRestTemplateCustomizer myCustomizer() {
        return new ZipkinRestTemplateCustomizer() {
            @Override
            void customize(RestTemplate restTemplate) {
                // customize the RestTemplate
            }
        };
    }
}

If, however, you would like to control the full process of creating the RestTemplate object, you will have to create a bean of zipkin2.reporter.Sender type.

@Bean Sender myRestTemplateSender(ZipkinProperties zipkin,
        ZipkinRestTemplateCustomizer zipkinRestTemplateCustomizer) {
    RestTemplate restTemplate = mySuperCustomRestTemplate();
    zipkinRestTemplateCustomizer.customize(restTemplate);
    return myCustomSender(zipkin, restTemplate);
}

By default, api path will be set to api/v2/spans or api/v1/spans depending on the encoder version. If you want to use a custom api path, you can configure it using the following property (empty case, set ""):

spring.zipkin.api-path: v2/path2

4.5.1. Custom service name

By default, Sleuth assumes that, when you send a span to Zipkin, you want the span’s service name to be equal to the value of the spring.application.name property. That is not always the case, though. There are situations in which you want to explicitly provide a different service name for all spans coming from your application. To achieve that, you can pass the following property to your application to override that value (the example is for a service named myService):

spring.zipkin.service.name: myService

4.5.2. Host Locator

This section is about defining host from service discovery. It is NOT about finding Zipkin through service discovery.

To define the host that corresponds to a particular span, we need to resolve the host name and port. The default approach is to take these values from server properties. If those are not set, we try to retrieve the host name from the network interfaces.

If you have the discovery client enabled and prefer to retrieve the host address from the registered instance in a service registry, you have to set the spring.zipkin.locator.discovery.enabled property (it is applicable for both HTTP-based and Stream-based span reporting), as follows:

spring.zipkin.locator.discovery.enabled: true

4.5.3. Customization of Reported Spans

In Sleuth, we generate spans with a fixed name. Some users want to modify the name depending on values of tags.

Sleuth registers a SpanFilter bean that can automatically skip reporting spans of given name patterns. The property spring.sleuth.span-filter.span-name-patterns-to-skip contains the default skip patterns for span names. The property spring.sleuth.span-filter.additional-span-name-patterns-to-skip will append the provided span name patterns to the existing ones. In order to disable this functionality just set spring.sleuth.span-filter.enabled to false.

Brave Customization of Reported Spans

This section is applicable for Brave tracer only.

Before reporting spans (for example, to Zipkin) you may want to modify that span in some way. You can do so by implementing a SpanHandler.

The following example shows how to register two beans that implement SpanHandler:

@Bean
SpanHandler handlerOne() {
    return new SpanHandler() {
        @Override
        public boolean end(TraceContext traceContext, MutableSpan span, Cause cause) {
            span.name("foo");
            return true; // keep this span
        }
    };
}

@Bean
SpanHandler handlerTwo() {
    return new SpanHandler() {
        @Override
        public boolean end(TraceContext traceContext, MutableSpan span, Cause cause) {
            span.name(span.name() + " bar");
            return true; // keep this span
        }
    };
}

The preceding example results in changing the name of the reported span to foo bar, just before it gets reported (for example, to Zipkin).

4.5.4. Overriding the auto-configuration of Zipkin

Spring Cloud Sleuth supports sending traces to multiple tracing systems as of version 2.1.0. In order to get this to work, every tracing system needs to have a Reporter<Span> and Sender. If you want to override the provided beans you need to give them a specific name. To do this you can use respectively ZipkinAutoConfiguration.REPORTER_BEAN_NAME and ZipkinAutoConfiguration.SENDER_BEAN_NAME.

@Configuration(proxyBeanMethods = false)
protected static class MyConfig {

    @Bean(ZipkinAutoConfiguration.REPORTER_BEAN_NAME)
    Reporter<zipkin2.Span> myReporter(@Qualifier(ZipkinAutoConfiguration.SENDER_BEAN_NAME) MySender mySender) {
        return AsyncReporter.create(mySender);
    }

    @Bean(ZipkinAutoConfiguration.SENDER_BEAN_NAME)
    MySender mySender() {
        return new MySender();
    }

    static class MySender extends Sender {

        private boolean spanSent = false;

        boolean isSpanSent() {
            return this.spanSent;
        }

        @Override
        public Encoding encoding() {
            return Encoding.JSON;
        }

        @Override
        public int messageMaxBytes() {
            return Integer.MAX_VALUE;
        }

        @Override
        public int messageSizeInBytes(List<byte[]> encodedSpans) {
            return encoding().listSizeInBytes(encodedSpans);
        }

        @Override
        public Call<Void> sendSpans(List<byte[]> encodedSpans) {
            this.spanSent = true;
            return Call.create(null);
        }

    }

}

4.6. Log integration

Sleuth configures the logging context with variables including the service name (%{spring.zipkin.service.name} or %{spring.application.name} if the previous one was not set), span ID (%{spanId}) and the trace ID (%{traceId}). These help you connect logs with distributed traces and allow you choice in what tools you use to troubleshoot your services.

Once you find any log with an error, you can look for the trace ID in the message. Paste that into your distributed tracing system to visualize the entire trace, regardless of how many services the first request ended up hitting.

backend.log:  2020-04-09 17:45:40.516 ERROR [backend,5e8eeec48b08e26882aba313eb08f0a4,dcc1df555b5777b3] 97203 --- [nio-9000-exec-1] o.s.c.s.i.web.ExceptionLoggingFilter     : Uncaught exception thrown
frontend.log:2020-04-09 17:45:40.574 ERROR [frontend,5e8eeec48b08e26882aba313eb08f0a4,82aba313eb08f0a4] 97192 --- [nio-8081-exec-2] o.s.c.s.i.web.ExceptionLoggingFilter     : Uncaught exception thrown

Above, you’ll notice the trace ID is 5e8eeec48b08e26882aba313eb08f0a4, for example. This log configuration was automatically setup by Sleuth. You can disable it by disabling Sleuth via spring.sleuth.enabled=false property or putting your own logging.pattern.level property.

If you use a log aggregating tool (such as Kibana, Splunk, and others), you can order the events that took place. An example from Kibana would resemble the following image:

If you want to use Logstash, the following listing shows the Grok pattern for Logstash:

filter {
  # pattern matching logback pattern
  grok {
    match => { "message" => "%{TIMESTAMP_ISO8601:timestamp}\s+%{LOGLEVEL:severity}\s+\[%{DATA:service},%{DATA:trace},%{DATA:span}\]\s+%{DATA:pid}\s+---\s+\[%{DATA:thread}\]\s+%{DATA:class}\s+:\s+%{GREEDYDATA:rest}" }
  }
  date {
    match => ["timestamp", "ISO8601"]
  }
  mutate {
    remove_field => ["timestamp"]
  }
}

If you want to use Grok together with the logs from Cloud Foundry, you have to use the following pattern:

filter {
  # pattern matching logback pattern
  grok {
    match => { "message" => "(?m)OUT\s+%{TIMESTAMP_ISO8601:timestamp}\s+%{LOGLEVEL:severity}\s+\[%{DATA:service},%{DATA:trace},%{DATA:span}\]\s+%{DATA:pid}\s+---\s+\[%{DATA:thread}\]\s+%{DATA:class}\s+:\s+%{GREEDYDATA:rest}" }
  }
  date {
    match => ["timestamp", "ISO8601"]
  }
  mutate {
    remove_field => ["timestamp"]
  }
}

4.6.1. JSON Logback with Logstash

Often, you do not want to store your logs in a text file but in a JSON file that Logstash can immediately pick. To do so, you have to do the following (for readability, we pass the dependencies in the groupId:artifactId:version notation).

Dependencies Setup

Ensure that Logback is on the classpath (ch.qos.logback:logback-core).
Add Logstash Logback encode. For example, to use version 4.6, add net.logstash.logback:logstash-logback-encoder:4.6.

Logback Setup

Consider the following example of a Logback configuration file (logback-spring.xml).

<?xml version="1.0" encoding="UTF-8"?>
<configuration>
    <include resource="org/springframework/boot/logging/logback/defaults.xml"/>
    <springProperty scope="context" name="springAppName" source="spring.application.name"/>
    <!-- Example for logging into the build folder of your project -->
    <property name="LOG_FILE" value="${BUILD_FOLDER:-build}/${springAppName}"/>

    <!-- You can override this to have a custom pattern -->
    <property name="CONSOLE_LOG_PATTERN"
              value="%clr(%d{yyyy-MM-dd HH:mm:ss.SSS}){faint} %clr(${LOG_LEVEL_PATTERN:-%5p}) %clr(${PID:- }){magenta} %clr(---){faint} %clr([%15.15t]){faint} %clr(%-40.40logger{39}){cyan} %clr(:){faint} %m%n${LOG_EXCEPTION_CONVERSION_WORD:-%wEx}"/>

    <!-- Appender to log to console -->
    <appender name="console" class="ch.qos.logback.core.ConsoleAppender">
        <filter class="ch.qos.logback.classic.filter.ThresholdFilter">
            <!-- Minimum logging level to be presented in the console logs-->
            <level>DEBUG</level>
        </filter>
        <encoder>
            <pattern>${CONSOLE_LOG_PATTERN}</pattern>
            <charset>utf8</charset>
        </encoder>
    </appender>

    <!-- Appender to log to file -->
    <appender name="flatfile" class="ch.qos.logback.core.rolling.RollingFileAppender">
        <file>${LOG_FILE}</file>
        <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
            <fileNamePattern>${LOG_FILE}.%d{yyyy-MM-dd}.gz</fileNamePattern>
            <maxHistory>7</maxHistory>
        </rollingPolicy>
        <encoder>
            <pattern>${CONSOLE_LOG_PATTERN}</pattern>
            <charset>utf8</charset>
        </encoder>
    </appender>
    <!-- Appender to log to file in a JSON format -->
    <appender name="logstash" class="ch.qos.logback.core.rolling.RollingFileAppender">
        <file>${LOG_FILE}.json</file>
        <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
            <fileNamePattern>${LOG_FILE}.json.%d{yyyy-MM-dd}.gz</fileNamePattern>
            <maxHistory>7</maxHistory>
        </rollingPolicy>
        <encoder class="net.logstash.logback.encoder.LoggingEventCompositeJsonEncoder">
            <providers>
                <timestamp>
                    <timeZone>UTC</timeZone>
                </timestamp>
                <pattern>
                    <pattern>
                        {
                        "timestamp": "@timestamp",
                        "severity": "%level",
                        "service": "${springAppName:-}",
                        "trace": "%X{traceId:-}",
                        "span": "%X{spanId:-}",
                        "pid": "${PID:-}",
                        "thread": "%thread",
                        "class": "%logger{40}",
                        "rest": "%message"
                        }
                    </pattern>
                </pattern>
            </providers>
        </encoder>
    </appender>
    <root level="INFO">
        <appender-ref ref="console"/>
        <!-- uncomment this to have also JSON logs -->
        <!--<appender-ref ref="logstash"/>-->
        <!--<appender-ref ref="flatfile"/>-->
    </root>
</configuration>

That Logback configuration file:

Logs information from the application in a JSON format to a build/${spring.application.name}.json file.
Has commented out two additional appenders: console and standard log file.
Has the same logging pattern as the one presented in the previous section.

If you use a custom logback-spring.xml, you must pass the spring.application.name in the bootstrap rather than the application property file. Otherwise, your custom logback file does not properly read the property.

4.7. What to Read Next

If you want to learn more about any of the classes discussed in this section, you can browse the source code directly. If you have specific questions, see the how-to section.

If you are comfortable with Spring Cloud Sleuth’s core features, you can continue on and read about Spring Cloud Sleuth’s integrations.

5. “How-to” Guides

This section provides answers to some common “how do I do that…?” questions that often arise when using Spring Cloud Sleuth. Its coverage is not exhaustive, but it does cover quite a lot.

If you have a specific problem that we do not cover here, you might want to check out stackoverflow.com to see if someone has already provided an answer. Stack Overflow is also a great place to ask new questions (please use the spring-cloud-sleuth tag).

We are also more than happy to extend this section. If you want to add a “how-to”, send us a pull request.

5.1. How to Set Up Sleuth with Brave?

Add the Sleuth starter to the classpath.

Maven

<dependencyManagement>
      <dependencies>
          <dependency>
              <groupId>org.springframework.cloud</groupId>
              <artifactId>spring-cloud-dependencies</artifactId>
              <version>${release.train-version}</version>
              <type>pom</type>
              <scope>import</scope>
          </dependency>
      </dependencies>
</dependencyManagement>

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-sleuth</artifactId>
</dependency>

Gradle

dependencyManagement {
    imports {
        mavenBom "org.springframework.cloud:spring-cloud-dependencies:${releaseTrainVersion}"
    }
}

dependencies {
    implementation "org.springframework.cloud:spring-cloud-starter-sleuth"
}

5.2. How to Set Up Sleuth with Brave & Zipkin via HTTP?

Add the Sleuth starter and Zipkin to the classpath.

Maven

<dependencyManagement>
      <dependencies>
          <dependency>
              <groupId>org.springframework.cloud</groupId>
              <artifactId>spring-cloud-dependencies</artifactId>
              <version>${release.train-version}</version>
              <type>pom</type>
              <scope>import</scope>
          </dependency>
      </dependencies>
</dependencyManagement>

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-sleuth</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-sleuth-zipkin</artifactId>
</dependency>

Gradle

dependencyManagement {
    imports {
        mavenBom "org.springframework.cloud:spring-cloud-dependencies:${releaseTrainVersion}"
    }
}

dependencies {
    implementation "org.springframework.cloud:spring-cloud-starter-sleuth"
    implementation "org.springframework.cloud:spring-cloud-sleuth-zipkin"
}

5.3. How to Set Up Sleuth with Brave & Zipkin via Messaging?

If you want to use RabbitMQ, Kafka or ActiveMQ instead of HTTP, add the spring-rabbit, spring-kafka or org.apache.activemq:activemq-client dependency. The default destination name is Zipkin.

If using Kafka, you must add the Kafka dependency.

Maven

<dependencyManagement>
      <dependencies>
          <dependency>
              <groupId>org.springframework.cloud</groupId>
              <artifactId>spring-cloud-dependencies</artifactId>
              <version>${release.train-version}</version>
              <type>pom</type>
              <scope>import</scope>
          </dependency>
      </dependencies>
</dependencyManagement>

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-sleuth</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-sleuth-zipkin</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka</artifactId>
</dependency>

Gradle

dependencyManagement {
    imports {
        mavenBom "org.springframework.cloud:spring-cloud-dependencies:${releaseTrainVersion}"
    }
}

dependencies {
    implementation "org.springframework.cloud:spring-cloud-starter-sleuth"
    implementation "org.springframework.cloud:spring-cloud-sleuth-zipkin"
    implementation "org.springframework.kafka:spring-kafka"
}

Also, you need to set the property spring.zipkin.sender.type property accordingly:

spring.zipkin.sender.type: kafka

If you want Sleuth over RabbitMQ, add the spring-cloud-starter-sleuth, spring-cloud-sleuth-zipkin and spring-rabbit dependencies.

Maven

<dependencyManagement>
      <dependencies>
          <dependency>
              <groupId>org.springframework.cloud</groupId>
              <artifactId>spring-cloud-dependencies</artifactId>
              <version>${release.train-version}</version>
              <type>pom</type>
              <scope>import</scope>
          </dependency>
      </dependencies>
</dependencyManagement>

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-sleuth</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-sleuth-zipkin</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.amqp</groupId>
    <artifactId>spring-rabbit</artifactId>
</dependency>

Gradle

dependencyManagement {
    imports {
        mavenBom "org.springframework.cloud:spring-cloud-dependencies:${releaseTrainVersion}"
    }
}

dependencies {
    implementation "org.springframework.cloud:spring-cloud-starter-sleuth"
    implementation "org.springframework.cloud:spring-cloud-sleuth-zipkin"
    implementation "org.springframework.amqp:spring-rabbit"
}

If you want Sleuth over ActiveMQ, add the spring-cloud-starter-sleuth, spring-cloud-sleuth-zipkin and activemq-client dependencies.

Maven

<dependencyManagement>
      <dependencies>
          <dependency>
              <groupId>org.springframework.cloud</groupId>
              <artifactId>spring-cloud-dependencies</artifactId>
              <version>${release.train-version}</version>
              <type>pom</type>
              <scope>import</scope>
          </dependency>
      </dependencies>
</dependencyManagement>

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-sleuth</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-sleuth-zipkin</artifactId>
</dependency>
<dependency>
    <groupId>org.apache.activemq</groupId>
    <artifactId>activemq-client</artifactId>
</dependency>

Gradle

dependencyManagement {
    imports {
        mavenBom "org.springframework.cloud:spring-cloud-dependencies:${releaseTrainVersion}"
    }
}

dependencies {
    implementation "org.springframework.cloud:spring-cloud-starter-sleuth"
    implementation "org.springframework.cloud:spring-cloud-sleuth-zipkin"
    implementation "org.apache.activemq:activemq-client"
}

Also, you need to set the property spring.zipkin.sender.type property accordingly:

spring.zipkin.sender.type: activemq

5.4. How to See Spans in an External System?

If you can’t see spans get reported to an external system (e.g. Zipkin), then it’s most likely due to the following causes:

Your span is not being sampled
You have forgotten to add the dependency to report to an external system (e.g. spring-cloud-sleuth-zipkin)
You have misconfigured the connection to the external system

5.4.1. Your Span Is Not Being Sampled

In order to check if the span is not being sampled it’s enough to see if the exportable flag is being set. Let’s look at the following example:

2020-10-21 12:01:16.285  INFO [backend,0b6aaf642574edd3,0b6aaf642574edd3,true] 289589 --- [nio-9000-exec-1] Example              : Hello world!

If the boolean value in the section [backend,0b6aaf642574edd3,0b6aaf642574edd3,true] is true means that the span is being sampled and should be reported.

5.4.2. Missing Dependency

Up till Sleuth 3.0.0 the dependency spring-cloud-starter-zipkin included the spring-cloud-starter-sleuth dependency and the spring-cloud-sleuth-zipkin dependency. With 3.0.0 spring-cloud-starter-zipkin was removed, so you need to change it to spring-cloud-sleuth-zipkin.

5.4.3. Connection Misconfiguration

Double check if the remote system address is correct (e.g. spring.zipkin.baseUrl) and that if trying to communicate over the broker, your broker connection is set up properly.

5.5. How to Make RestTemplate, WebClient, etc. Work?

If you’re observing that the tracing context is not being propagated then cause is one of the following:

We are not instrumenting the given library
We are instrumenting the library, however you misconfigured the setup

In case of lack of instrumentation capabilities please file an issue with a request to add such instrumentation.

In case of the misconfiguration please ensure that the client you’re using to communicate is a Spring bean. If you create the client manually via the new operator the instrumentation will not work.

Example where instrumentation will work:

import org.springframework.context.annotation.Configuration;
import org.springframework.web.client.RestTemplate;

@Configuration(proxyBeanMethods = false)
class MyConfiguration {
    @Bean RestTemplate myRestTemplate() {
        return new RestTemplate();
    }
}

@Service
class MyService {
    private final RestTemplate restTemplate;

    MyService(RestTemplate restTemplate) {
        this.restTemplate = restTemplate;
    }

    String makeACall() {
        return this.restTemplate.getForObject("http://example.com", String.class);
    }

}

Example where instrumentation will NOT work:

@Service
class MyService {

    String makeACall() {
        // This will not work because RestTemplate is not a bean
        return new RestTemplate().getForObject("http://example.com", String.class);
    }

}

5.6. How to Add Headers to the HTTP Server Response?

import org.springframework.cloud.sleuth.http.HttpResponseParser;
import org.springframework.cloud.sleuth.instrument.web.HttpServerResponseParser;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration(proxyBeanMethods = false)
class MyConfig {

    @Bean(name = HttpServerResponseParser.NAME)
    HttpResponseParser myHttpResponseParser() {
        return (response, context, span) -> {
            Object unwrap = response.unwrap();
            if (unwrap instanceof HttpServletResponse) {
                HttpServletResponse resp = (HttpServletResponse) unwrap;
                resp.addHeader("MyCustom", "Header");
            }
        };
    }

}

Your spans need to be sampled for the parser to work. That means that you need to be able to export spans to e.g. Zipkin.

5.7. How to Customize HTTP Client Spans?

Register a bean of HttpRequestParser type whose name is HttpClientRequestParser.NAME to add customization for the request side. Register a bean of HttpResponseParser type whose name is HttpClientRequestParser.NAME to add customization for the response side.

@Configuration(proxyBeanMethods = false)
public static class ClientParserConfiguration {

    // example for Feign
    @Bean(name = HttpClientRequestParser.NAME)
    HttpRequestParser myHttpClientRequestParser() {
        return (request, context, span) -> {
            // Span customization
            span.name(request.method());
            span.tag("ClientRequest", "Tag");
            Object unwrap = request.unwrap();
            if (unwrap instanceof feign.Request) {
                feign.Request req = (feign.Request) unwrap;
                // Span customization
                span.tag("ClientRequestFeign", req.httpMethod().name());
            }
        };
    }

    // example for Feign
    @Bean(name = HttpClientResponseParser.NAME)
    HttpResponseParser myHttpClientResponseParser() {
        return (response, context, span) -> {
            // Span customization
            span.tag("ClientResponse", "Tag");
            Object unwrap = response.unwrap();
            if (unwrap instanceof feign.Response) {
                feign.Response resp = (feign.Response) unwrap;
                // Span customization
                span.tag("ClientResponseFeign", String.valueOf(resp.status()));
            }
        };
    }

}

5.8. How to Customize HTTP Server Spans?

Register a bean of HttpRequestParser type whose name is HttpServerRequestParser.NAME to add customization for the request side. Register a bean of HttpResponseParser type whose name is HttpServerResponseParser.NAME to add customization for the response side.

@Configuration(proxyBeanMethods = false)
public static class ServerParserConfiguration {

    @Bean(name = HttpServerRequestParser.NAME)
    HttpRequestParser myHttpRequestParser() {
        return (request, context, span) -> {
            // Span customization
            span.tag("ServerRequest", "Tag");
            Object unwrap = request.unwrap();
            if (unwrap instanceof HttpServletRequest) {
                HttpServletRequest req = (HttpServletRequest) unwrap;
                // Span customization
                span.tag("ServerRequestServlet", req.getMethod());
            }
        };
    }

    @Bean(name = HttpServerResponseParser.NAME)
    HttpResponseParser myHttpResponseParser() {
        return (response, context, span) -> {
            // Span customization
            span.tag("ServerResponse", "Tag");
            Object unwrap = response.unwrap();
            if (unwrap instanceof HttpServletResponse) {
                HttpServletResponse resp = (HttpServletResponse) unwrap;
                // Span customization
                span.tag("ServerResponseServlet", String.valueOf(resp.getStatus()));
            }
        };
    }

}

Your spans need to be sampled for the parser to work. That means that you need to be able to export spans to e.g. Zipkin.

5.9. How to See the Application Name in Logs?

Assuming that you haven’t changed the default logging format set the spring.application.name property in bootstrap.yml, not in application.yml.

With the new Spring Cloud configuration bootstrap this should no longer be required since there will be no Bootstrap Context anymore.

5.10. How to Change The Context Propagation Mechanism?

To use the provided defaults you can set the spring.sleuth.propagation.type property. The value can be a list in which case you will propagate more tracing headers.

For Brave we support AWS, B3, W3C propagation types.

If you want to provide a custom propagation mechanism set the spring.sleuth.propagation.type property to CUSTOM and implement your own bean (Propagation.Factory for Brave). Below you can find the examples:

@Component
class CustomPropagator extends Propagation.Factory implements Propagation<String> {

    @Override
    public List<String> keys() {
        return Arrays.asList("myCustomTraceId", "myCustomSpanId");
    }

    @Override
    public <R> TraceContext.Injector<R> injector(Setter<R, String> setter) {
        return (traceContext, request) -> {
            setter.put(request, "myCustomTraceId", traceContext.traceIdString());
            setter.put(request, "myCustomSpanId", traceContext.spanIdString());
        };
    }

    @Override
    public <R> TraceContext.Extractor<R> extractor(Getter<R, String> getter) {
        return request -> TraceContextOrSamplingFlags.create(TraceContext.newBuilder()
                .traceId(HexCodec.lowerHexToUnsignedLong(getter.get(request, "myCustomTraceId")))
                .spanId(HexCodec.lowerHexToUnsignedLong(getter.get(request, "myCustomSpanId"))).build());
    }

    @Override
    public <K> Propagation<K> create(KeyFactory<K> keyFactory) {
        return StringPropagationAdapter.create(this, keyFactory);
    }

}

5.11. How to Implement My Own Tracer?

Spring Cloud Sleuth API contains all necessary interfaces to be implemented by a tracer. The project comes with OpenZipkin Brave implementation. You can check how both tracers are bridged to the Sleuth’s API by looking at the org.springframework.cloud.sleuth.brave.bridge module.

6. Spring Cloud Sleuth customization

In this section, we describe how to customize various parts of Spring Cloud Sleuth.

6.1. Asynchronous Communication

In this section, we describe how to customize asynchronous communication with Spring Cloud Sleuth.

6.1.1. `@Async` Annotated methods

This feature is available for all tracer implementations.

In Spring Cloud Sleuth, we instrument async-related components so that the tracing information is passed between threads. You can disable this behavior by setting the value of spring.sleuth.async.enabled to false.

If you annotate your method with @Async, we automatically modify the existing Span as follows:

If the method is annotated with @SpanName, the value of the annotation is the Span’s name.
If the method is not annotated with @SpanName, the Span name is the annotated method name.
The span is tagged with the method’s class name and method name.

Since we’re modifying the existing span, if you want to maintain its original name (e.g. a span created by receiving an HTTP request) you should wrap your @Async annotated method with a @NewSpan annotation or create a new span manually.

6.1.2. `@Scheduled` Annotated Methods

This feature is available for all tracer implementations.

In Spring Cloud Sleuth, we instrument scheduled method execution so that the tracing information is passed between threads. You can disable this behavior by setting the value of spring.sleuth.scheduled.enabled to false.

If you annotate your method with @Scheduled, we automatically create a new span with the following characteristics:

The span name is the annotated method name.
The span is tagged with the method’s class name and method name.

If you want to skip span creation for some @Scheduled annotated classes, you can set the spring.sleuth.scheduled.skipPattern with a regular expression that matches the fully qualified name of the @Scheduled annotated class.

6.1.3. Executor, ExecutorService, and ScheduledExecutorService

This feature is available for all tracer implementations.

We provide LazyTraceExecutor, TraceableExecutorService, and TraceableScheduledExecutorService. Those implementations create spans each time a new task is submitted, invoked, or scheduled.

The following example shows how to pass tracing information with TraceableExecutorService when working with CompletableFuture:

CompletableFuture<Long> completableFuture = CompletableFuture.supplyAsync(() -> {
    // perform some logic
    return 1_000_000L;
}, new TraceableExecutorService(beanFactory, executorService,
        // 'calculateTax' explicitly names the span - this param is optional
        "calculateTax"));

Sleuth does not work with parallelStream() out of the box. If you want to have the tracing information propagated through the stream, you have to use the approach with supplyAsync(…), as shown earlier.

If there are beans that implement the Executor interface that you would like to exclude from span creation, you can use the spring.sleuth.async.ignored-beans property where you can provide a list of bean names.

You can disable this behavior by setting the value of spring.sleuth.async.enabled to false.

Customization of Executors

Sometimes, you need to set up a custom instance of the AsyncExecutor. The following example shows how to set up such a custom Executor:

@Configuration(proxyBeanMethods = false)
@EnableAutoConfiguration
@EnableAsync
// add the infrastructure role to ensure that the bean gets auto-proxied
@Role(BeanDefinition.ROLE_INFRASTRUCTURE)
public static class CustomExecutorConfig extends AsyncConfigurerSupport {

    @Autowired
    BeanFactory beanFactory;

    @Override
    public Executor getAsyncExecutor() {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        // CUSTOMIZE HERE
        executor.setCorePoolSize(7);
        executor.setMaxPoolSize(42);
        executor.setQueueCapacity(11);
        executor.setThreadNamePrefix("MyExecutor-");
        // DON'T FORGET TO INITIALIZE
        executor.initialize();
        return new LazyTraceExecutor(this.beanFactory, executor);
    }

}

To ensure that your configuration gets post processed, remember to add the @Role(BeanDefinition.ROLE_INFRASTRUCTURE) on your @Configuration class

6.2. HTTP Client Integration

Features from this section can be disabled by setting the spring.sleuth.web.client.enabled property with value equal to false.

6.2.1. Synchronous Rest Template

This feature is available for all tracer implementations.

We inject a RestTemplate interceptor to ensure that all the tracing information is passed to the requests. Each time a call is made, a new Span is created. It gets closed upon receiving the response. To block the synchronous RestTemplate features, set spring.sleuth.web.client.enabled to false.

You have to register RestTemplate as a bean so that the interceptors get injected. If you create a RestTemplate instance with a new keyword, the instrumentation does NOT work.

6.2.2. Asynchronous Rest Template

This feature is available for all tracer implementations.

Starting with Sleuth 2.0.0, we no longer register a bean of AsyncRestTemplate type. It is up to you to create such a bean. Then we instrument it.

To block the AsyncRestTemplate features, set spring.sleuth.web.async.client.enabled to false. To disable creation of the default TraceAsyncClientHttpRequestFactoryWrapper, set spring.sleuth.web.async.client.factory.enabled to false. If you do not want to create AsyncRestClient at all, set spring.sleuth.web.async.client.template.enabled to false.

Multiple Asynchronous Rest Templates

Sometimes you need to use multiple implementations of the Asynchronous Rest Template. In the following snippet, you can see an example of how to set up such a custom AsyncRestTemplate:

@Configuration(proxyBeanMethods = false)
public static class TestConfig {

    @Bean(name = "customAsyncRestTemplate")
    public AsyncRestTemplate traceAsyncRestTemplate() {
        return new AsyncRestTemplate(asyncClientFactory(), clientHttpRequestFactory());
    }

    private ClientHttpRequestFactory clientHttpRequestFactory() {
        ClientHttpRequestFactory clientHttpRequestFactory = new CustomClientHttpRequestFactory();
        // CUSTOMIZE HERE
        return clientHttpRequestFactory;
    }

    private AsyncClientHttpRequestFactory asyncClientFactory() {
        AsyncClientHttpRequestFactory factory = new CustomAsyncClientHttpRequestFactory();
        // CUSTOMIZE HERE
        return factory;
    }

}

`WebClient`

This feature is available for all tracer implementations.

We inject a ExchangeFilterFunction implementation that creates a span and, through on-success and on-error callbacks, takes care of closing client-side spans.

To block this feature, set spring.sleuth.web.client.enabled to false.

You have to register WebClient as a bean so that the tracing instrumentation gets applied. If you create a WebClient instance with a new keyword, the instrumentation does NOT work.

Traverson

This feature is available for all tracer implementations.

If you use the Traverson library, you can inject a RestTemplate as a bean into your Traverson object. Since RestTemplate is already intercepted, you get full support for tracing in your client. The following pseudo code shows how to do that:

@Autowired RestTemplate restTemplate;

Traverson traverson = new Traverson(URI.create("https://some/address"),
    MediaType.APPLICATION_JSON, MediaType.APPLICATION_JSON_UTF8).setRestOperations(restTemplate);
// use Traverson

Apache `HttpClientBuilder` and `HttpAsyncClientBuilder`

This feature is available for Brave tracer implementation.

We instrument the HttpClientBuilder and HttpAsyncClientBuilder so that tracing context gets injected to the sent requests.

To block these features, set spring.sleuth.web.client.enabled to false.

Netty `HttpClient`

This feature is available for all tracer implementations.

We instrument the Netty’s HttpClient.

To block this feature, set spring.sleuth.web.client.enabled to false.

You have to register HttpClient as a bean so that the instrumentation happens. If you create a HttpClient instance with a new keyword, the instrumentation does NOT work.

`UserInfoRestTemplateCustomizer`

This feature is available for all tracer implementations.

We instrument the Spring Security’s UserInfoRestTemplateCustomizer.

To block this feature, set spring.sleuth.web.client.enabled to false.

6.3. HTTP Server Integration

Features from this section can be disabled by setting the spring.sleuth.web.enabled property with value equal to false.

6.3.1. HTTP Filter

This feature is available for all tracer implementations.

Through the TracingFilter, all sampled incoming requests result in creation of a Span. You can configure which URIs you would like to skip by setting the spring.sleuth.web.skipPattern property. If you have ManagementServerProperties on classpath, its value of contextPath gets appended to the provided skip pattern. If you want to reuse the Sleuth’s default skip patterns and just append your own, pass those patterns by using the spring.sleuth.web.additionalSkipPattern.

By default, all the spring boot actuator endpoints are automatically added to the skip pattern. If you want to disable this behaviour set spring.sleuth.web.ignore-auto-configured-skip-patterns to true.

To change the order of tracing filter registration, please set the spring.sleuth.web.filter-order property.

To disable the filter that logs uncaught exceptions you can disable the spring.sleuth.web.exception-throwing-filter-enabled property.

6.3.2. HandlerInterceptor

This feature is available for all tracer implementations.

Since we want the span names to be precise, we use a TraceHandlerInterceptor that either wraps an existing HandlerInterceptor or is added directly to the list of existing HandlerInterceptors. The TraceHandlerInterceptor adds a special request attribute to the given HttpServletRequest. If the the TracingFilter does not see this attribute, it creates a “fallback” span, which is an additional span created on the server side so that the trace is presented properly in the UI. If that happens, there is probably missing instrumentation. In that case, please file an issue in Spring Cloud Sleuth.

6.3.3. Async Servlet support

This feature is available for all tracer implementations.

If your controller returns a Callable or a WebAsyncTask, Spring Cloud Sleuth continues the existing span instead of creating a new one.

6.3.4. WebFlux support

This feature is available for all tracer implementations.

Through TraceWebFilter, all sampled incoming requests result in creation of a Span. That Span’s name is http: + the path to which the request was sent. For example, if the request was sent to /this/that, the name is http:/this/that. You can configure which URIs you would like to skip by using the spring.sleuth.web.skipPattern property. If you have ManagementServerProperties on the classpath, its value of contextPath gets appended to the provided skip pattern. If you want to reuse Sleuth’s default skip patterns and append your own, pass those patterns by using the spring.sleuth.web.additionalSkipPattern.

In order to achieve best results in terms of performance and context propagation we suggest that you switch the spring.sleuth.reactor.instrumentation-type to MANUAL. In order to execute code with the span in scope you can call WebFluxSleuthOperators.withSpanInScope. Example:

@GetMapping("/simpleManual")
public Mono<String> simpleManual() {
    return Mono.just("hello").map(String::toUpperCase).doOnEach(WebFluxSleuthOperators
            .withSpanInScope(SignalType.ON_NEXT, signal -> log.info("Hello from simple [{}]", signal.get())));
}

To change the order of tracing filter registration, please set the spring.sleuth.web.filter-order property.

6.4. Messaging

Features from this section can be disabled by setting the spring.sleuth.messaging.enabled property with value equal to false.

6.4.1. Spring Integration

This feature is available for all tracer implementations.

Spring Cloud Sleuth integrates with Spring Integration. It creates spans for publish and subscribe events. To disable Spring Integration instrumentation, set spring.sleuth.integration.enabled to false.

You can provide the spring.sleuth.integration.patterns pattern to explicitly provide the names of channels that you want to include for tracing. By default, all channels but hystrixStreamOutput channel are included.

When using the Executor to build a Spring Integration IntegrationFlow, you must use the untraced version of the Executor. Decorating the Spring Integration Executor Channel with TraceableExecutorService causes the spans to be improperly closed.

If you want to customize the way tracing context is read from and written to message headers, it’s enough for you to register beans of types:

Propagator.Setter<MessageHeaderAccessor> - for writing headers to the message
Propagator.Getter<MessageHeaderAccessor> - for reading headers from the message

Spring Integration Customization

Customizing messaging spans

In order to change the default span names and tags, just register a bean of type MessageSpanCustomizer. You can also override the existing DefaultMessageSpanCustomizer to extend the existing behaviour.

@Component
  class MyMessageSpanCustomizer extends DefaultMessageSpanCustomizer {
      @Override
      public Span customizeHandle(Span spanCustomizer,
              Message<?> message, MessageChannel messageChannel) {
          return super.customizeHandle(spanCustomizer, message, messageChannel)
                  .name("changedHandle")
                  .tag("handleKey", "handleValue")
                  .tag("channelName", channelName(messageChannel));
      }

      @Override
      public Span.Builder customizeSend(Span.Builder builder,
              Message<?> message, MessageChannel messageChannel) {
          return super.customizeSend(builder, message, messageChannel)
                  .name("changedSend")
                  .tag("sendKey", "sendValue")
                  .tag("channelName", channelName(messageChannel));
      }
  }

6.4.2. Spring Cloud Function and Spring Cloud Stream

This feature is available for all tracer implementations.

Spring Cloud Sleuth can instrument Spring Cloud Function. The way to achieve it is to provide a Function or Consumer or Supplier that takes in a Message as a parameter e.g. Function<Message<String>, Message<Integer>>. If the type is not Message then instrumentation will not take place. Out of the box instrumentation will not take place when dealing with Reactor based streams - e.g. Function<Flux<Message<String>>, Flux<Message<Integer>>>.

Since Spring Cloud Stream reuses Spring Cloud Function, you’ll get the instrumentation out of the box.

You can disable this behavior by setting the value of spring.sleuth.function.enabled to false.

In order to work with reactive Stream functions you can leverage the MessagingSleuthOperators utility class that allows you to manipulate the input and output messages in order to continue the tracing context and to execute custom code within the tracing context.

class SimpleReactiveManualFunction implements Function<Flux<Message<String>>, Flux<Message<String>>> {

    private static final Logger log = LoggerFactory.getLogger(SimpleReactiveFunction.class);

    private final BeanFactory beanFactory;

    SimpleReactiveManualFunction(BeanFactory beanFactory) {
        this.beanFactory = beanFactory;
    }

    @Override
    public Flux<Message<String>> apply(Flux<Message<String>> input) {
        return input.map(message -> (MessagingSleuthOperators.asFunction(this.beanFactory, message))
                .andThen(msg -> MessagingSleuthOperators.withSpanInScope(this.beanFactory, msg, stringMessage -> {
                    log.info("Hello from simple manual [{}]", stringMessage.getPayload());
                    return stringMessage;
                })).andThen(msg -> MessagingSleuthOperators.afterMessageHandled(this.beanFactory, msg, null))
                .andThen(msg -> MessageBuilder.createMessage(msg.getPayload().toUpperCase(), msg.getHeaders()))
                .andThen(msg -> MessagingSleuthOperators.handleOutputMessage(this.beanFactory, msg)).apply(message));
    }

}

6.4.3. Spring RabbitMq

This feature is available for Brave tracer implementation.

We instrument the RabbitTemplate so that tracing headers get injected into the message.

To block this feature, set spring.sleuth.messaging.rabbit.enabled to false.

6.4.4. Spring Kafka

This feature is available for Brave tracer implementation.

We instrument the Spring Kafka’s ProducerFactory and ConsumerFactory so that tracing headers get injected into the created Spring Kafka’s Producer and Consumer.

To block this feature, set spring.sleuth.messaging.kafka.enabled to false.

6.4.5. Spring Kafka Streams

This feature is available for Brave tracer implementation.

We instrument the KafkaStreams KafkaClientSupplier so that tracing headers get injected into the Producer and Consumer`s. A `KafkaStreamsTracing bean allows for further instrumentation through additional TransformerSupplier and ProcessorSupplier methods.

To block this feature, set spring.sleuth.messaging.kafka.streams.enabled to false.

6.4.6. Spring JMS

This feature is available for Brave tracer implementation.

We instrument the JmsTemplate so that tracing headers get injected into the message. We also support @JmsListener annotated methods on the consumer side.

To block this feature, set spring.sleuth.messaging.jms.enabled to false.

We don’t support baggage propagation for JMS

6.5. OpenFeign

This feature is available for all tracer implementations.

By default, Spring Cloud Sleuth provides integration with Feign through TraceFeignClientAutoConfiguration. You can disable it entirely by setting spring.sleuth.feign.enabled to false. If you do so, no Feign-related instrumentation take place.

Part of Feign instrumentation is done through a FeignBeanPostProcessor. You can disable it by setting spring.sleuth.feign.processor.enabled to false. If you set it to false, Spring Cloud Sleuth does not instrument any of your custom Feign components. However, all the default instrumentation is still there.

6.6. OpenTracing

This feature is available for all tracer implementations.

Spring Cloud Sleuth is compatible with OpenTracing. If you have OpenTracing on the classpath, we automatically register the OpenTracing Tracer bean. If you wish to disable this, set spring.sleuth.opentracing.enabled to false

6.7. Quartz

This feature is available for all tracer implementations.

We instrument quartz jobs by adding Job/Trigger listeners to the Quartz Scheduler.

To turn off this feature, set the spring.sleuth.quartz.enabled property to false.

6.8. Reactor

This feature is available for all tracer implementations.

We have the following modes of instrumenting reactor based applications that can be set via spring.sleuth.reactor.instrumentation-type property:

DECORATE_QUEUES - With the new Reactor queue wrapping mechanism (Reactor 3.4.3) we’re instrumenting the way threads are switched by Reactor. This should lead to feature parity with ON_EACH with low performance impact.
DECORATE_ON_EACH - wraps every Reactor operator in a trace representation. Passes the tracing context in most cases. This mode might lead to drastic performance degradation.
DECORATE_ON_LAST - wraps last Reactor operator in a trace representation. Passes the tracing context in some cases thus accessing MDC context might not work. This mode might lead to medium performance degradation.
MANUAL - wraps every Reactor in the least invasive way without passing of tracing context. It’s up to the user to do it.

Current default is ON_EACH for backward compatibility reasons, however we encourage the users to migrate to the MANUAL instrumentation and profit from WebFluxSleuthOperators and MessagingSleuthOperators. The performance improvement can be substantial. Example:

@GetMapping("/simpleManual")
public Mono<String> simpleManual() {
    return Mono.just("hello").map(String::toUpperCase).doOnEach(WebFluxSleuthOperators
            .withSpanInScope(SignalType.ON_NEXT, signal -> log.info("Hello from simple [{}]", signal.get())));
}

6.9. Redis

This feature is available for Brave tracer implementation.

We set tracing property to Lettuce ClientResources instance to enable Brave tracing built in Lettuce . To disable Redis support, set the spring.sleuth.redis.enabled property to false.

6.10. Runnable and Callable

This feature is available for all tracer implementations.

If you wrap your logic in Runnable or Callable, you can wrap those classes in their Sleuth representative, as shown in the following example for Runnable:

Runnable runnable = new Runnable() {
    @Override
    public void run() {
        // do some work
    }

    @Override
    public String toString() {
        return "spanNameFromToStringMethod";
    }
};
// Manual `TraceRunnable` creation with explicit "calculateTax" Span name
Runnable traceRunnable = new TraceRunnable(this.tracer, spanNamer, runnable, "calculateTax");

The following example shows how to do so for Callable:

Callable<String> callable = new Callable<String>() {
    @Override
    public String call() throws Exception {
        return someLogic();
    }

    @Override
    public String toString() {
        return "spanNameFromToStringMethod";
    }
};
// Manual `TraceCallable` creation with explicit "calculateTax" Span name
Callable<String> traceCallable = new TraceCallable<>(tracer, spanNamer, callable, "calculateTax");

That way, you ensure that a new span is created and closed for each execution.

6.11. RPC

This feature is available for Brave tracer implementation.

Sleuth automatically configures the RpcTracing bean which serves as a foundation for RPC instrumentation such as gRPC or Dubbo.

If a customization of client / server sampling of the RPC traces is required, just register a bean of type brave.sampler.SamplerFunction<RpcRequest> and name the bean sleuthRpcClientSampler for client sampler and sleuthRpcServerSampler for server sampler.

For your convenience the @RpcClientSampler and @RpcServerSampler annotations can be used to inject the proper beans or to reference the bean names via their static String NAME fields.

Ex. Here’s a sampler that traces 100 "GetUserToken" server requests per second. This doesn’t start new traces for requests to the health check service. Other requests will use the global sampling configuration.

@Configuration(proxyBeanMethods = false)
    class Config {
  @Bean(name = RpcServerSampler.NAME)
  SamplerFunction<RpcRequest> myRpcSampler() {
      Matcher<RpcRequest> userAuth = and(serviceEquals("users.UserService"), methodEquals("GetUserToken"));
      return RpcRuleSampler.newBuilder().putRule(serviceEquals("grpc.health.v1.Health"), Sampler.NEVER_SAMPLE)
              .putRule(userAuth, RateLimitingSampler.create(100)).build();
  }
}

For more, see github.com/openzipkin/brave/tree/master/instrumentation/rpc#sampling-policy

6.11.1. Dubbo RPC support

Via the integration with Brave, Spring Cloud Sleuth supports Dubbo. It’s enough to add the brave-instrumentation-dubbo dependency:

<dependency>
    <groupId>io.zipkin.brave</groupId>
    <artifactId>brave-instrumentation-dubbo</artifactId>
</dependency>

You need to also set a dubbo.properties file with the following contents:

dubbo.provider.filter=tracing
dubbo.consumer.filter=tracing

You can read more about Brave - Dubbo integration here. An example of Spring Cloud Sleuth and Dubbo can be found here.

6.11.2. gRPC

Spring Cloud Sleuth provides instrumentation for gRPC via the Brave tracer. You can disable it entirely by setting spring.sleuth.grpc.enabled to false.

Variant 1

Dependencies

The gRPC integration relies on two external libraries to instrument clients and servers and both of those libraries must be on the class path to enable the instrumentation.

Maven:

        <dependency>
            <groupId>io.github.lognet</groupId>
            <artifactId>grpc-spring-boot-starter</artifactId>
        </dependency>
        <dependency>
            <groupId>io.zipkin.brave</groupId>
            <artifactId>brave-instrumentation-grpc</artifactId>
        </dependency>

Gradle:

    compile("io.github.lognet:grpc-spring-boot-starter")
    compile("io.zipkin.brave:brave-instrumentation-grpc")

Server Instrumentation

Spring Cloud Sleuth leverages grpc-spring-boot-starter to register Brave’s gRPC server interceptor with all services annotated with @GRpcService.

Client Instrumentation

gRPC clients leverage a ManagedChannelBuilder to construct a ManagedChannel used to communicate to the gRPC server. The native ManagedChannelBuilder provides static methods as entry points for construction of ManagedChannel instances, however, this mechanism is outside the influence of the Spring application context.

Spring Cloud Sleuth provides a SpringAwareManagedChannelBuilder that can be customized through the Spring application context and injected by gRPC clients. This builder must be used when creating ManagedChannel instances.

Sleuth creates a TracingManagedChannelBuilderCustomizer which inject Brave’s client interceptor into the SpringAwareManagedChannelBuilder.

Variant 2

Grpc Spring Boot Starter automatically detects the presence of Spring Cloud Sleuth and Brave’s instrumentation for gRPC and registers the necessary client and/or server tooling.

6.12. RxJava

This feature is available for all tracer implementations.

We registering a custom RxJavaSchedulersHook that wraps all Action0 instances in their Sleuth representative, which is called TraceAction. The hook either starts or continues a span, depending on whether tracing was already going on before the Action was scheduled. To disable the custom RxJavaSchedulersHook, set the spring.sleuth.rxjava.schedulers.hook.enabled to false.

You can define a list of regular expressions for thread names for which you do not want spans to be created. To do so, provide a comma-separated list of regular expressions in the spring.sleuth.rxjava.schedulers.ignoredthreads property.

The suggested approach to reactive programming and Sleuth is to use the Reactor support.

6.13. Spring Cloud CircuitBreaker

This feature is available for all tracer implementations.

If you have Spring Cloud CircuitBreaker on the classpath, we will wrap the passed command Supplier and the fallback Function in its trace representations. In order to disable this instrumentation set spring.sleuth.circuitbreaker.enabled to false.

Common application properties

Various properties can be specified inside your application.properties file, inside your application.yml file, or as command line switches. This appendix provides a list of common Spring Cloud Sleuth properties and references to the underlying classes that consume them.

Property contributions can come from additional jar files on your classpath, so you should not consider this an exhaustive list. Also, you can define your own properties.

Name Default Description

Name	Default	Description
spring.sleuth.async.configurer.enabled	`true`	Enable default AsyncConfigurer.
spring.sleuth.async.enabled	`true`	Enable instrumenting async related components so that the tracing information is passed between threads.
spring.sleuth.async.ignored-beans		List of {@link java.util.concurrent.Executor} bean names that should be ignored and not wrapped in a trace representation.
spring.sleuth.baggage.correlation-enabled	`true`	Enables correlating the baggage context with logging contexts.
spring.sleuth.baggage.correlation-fields
spring.sleuth.baggage.local-fields
spring.sleuth.baggage.remote-fields		List of fields that are referenced the same in-process as it is on the wire. For example, the field "x-vcap-request-id" would be set as-is including the prefix.
spring.sleuth.baggage.tag-fields
spring.sleuth.circuitbreaker.enabled	`true`	Enable Spring Cloud CircuitBreaker instrumentation.
spring.sleuth.enabled	`true`
spring.sleuth.feign.enabled	`true`	Enable span information propagation when using Feign.
spring.sleuth.feign.processor.enabled	`true`	Enable post processor that wraps Feign Context in its tracing representations.
spring.sleuth.function.enabled	`true`	Enable instrumenting of Spring Cloud Function and Spring Cloud Function based projects (e.g. Spring Cloud Stream).
spring.sleuth.grpc.enabled	`true`	Enable span information propagation when using GRPC.
spring.sleuth.http.enabled	`true`	Enables HTTP support.
spring.sleuth.integration.enabled	`true`	Enable Spring Integration sleuth instrumentation.
spring.sleuth.integration.patterns	`[!hystrixStreamOutput*, , !channel]`	An array of patterns against which channel names will be matched. @see org.springframework.integration.config.GlobalChannelInterceptor#patterns() Defaults to any channel name not matching the Hystrix Stream and functional Stream channel names.
spring.sleuth.integration.websockets.enabled	`true`	Enable tracing for WebSockets.
spring.sleuth.messaging.enabled	`false`	Should messaging be turned on.
spring.sleuth.messaging.jms.enabled	`true`	Enable tracing of JMS.
spring.sleuth.messaging.jms.remote-service-name	`jms`	JMS remote service name.
spring.sleuth.messaging.kafka.enabled	`true`	Enable tracing of Kafka.
spring.sleuth.messaging.kafka.mapper.enabled	`true`	Enable DefaultKafkaHeaderMapper tracing for Kafka.
spring.sleuth.messaging.kafka.remote-service-name	`kafka`	Kafka remote service name.
spring.sleuth.messaging.kafka.streams.enabled	`false`	Should Kafka Streams be turned on.
spring.sleuth.messaging.rabbit.enabled	`true`	Enable tracing of RabbitMQ.
spring.sleuth.messaging.rabbit.remote-service-name	`rabbitmq`	Rabbit remote service name.
spring.sleuth.mongodb.enabled	`true`	Enable tracing for MongoDb.
spring.sleuth.opentracing.enabled	`true`	Enables OpenTracing support.
spring.sleuth.propagation.type		Tracing context propagation types.
spring.sleuth.quartz.enabled	`true`	Enable tracing for Quartz.
spring.sleuth.reactor.decorate-on-each	`true`	When true decorates on each operator, will be less performing, but logging will always contain the tracing entries in each operator. When false decorates on last operator, will be more performing, but logging might not always contain the tracing entries. @deprecated use explicit value via {@link SleuthReactorProperties#instrumentationType}
spring.sleuth.reactor.enabled	`true`	When true enables instrumentation for reactor.
spring.sleuth.reactor.instrumentation-type
spring.sleuth.redis.enabled	`true`	Enable span information propagation when using Redis.
spring.sleuth.redis.remote-service-name	`redis`	Service name for the remote Redis endpoint.
spring.sleuth.rpc.enabled	`true`	Enable tracing of RPC.
spring.sleuth.rxjava.schedulers.hook.enabled	`true`	Enable support for RxJava via RxJavaSchedulersHook.
spring.sleuth.rxjava.schedulers.ignoredthreads	`[HystrixMetricPoller, ^RxComputation.*$]`	Thread names for which spans will not be sampled.
spring.sleuth.sampler.probability		Probability of requests that should be sampled. E.g. 1.0 - 100% requests should be sampled. The precision is whole-numbers only (i.e. there’s no support for 0.1% of the traces).
spring.sleuth.sampler.rate	`10`	A rate per second can be a nice choice for low-traffic endpoints as it allows you surge protection. For example, you may never expect the endpoint to get more than 50 requests per second. If there was a sudden surge of traffic, to 5000 requests per second, you would still end up with 50 traces per second. Conversely, if you had a percentage, like 10%, the same surge would end up with 500 traces per second, possibly overloading your storage. Amazon X-Ray includes a rate-limited sampler (named Reservoir) for this purpose. Brave has taken the same approach via the {@link brave.sampler.RateLimitingSampler}.
spring.sleuth.sampler.refresh.enabled	`true`	Enable refresh scope for sampler.
spring.sleuth.scheduled.enabled	`true`	Enable tracing for {@link org.springframework.scheduling.annotation.Scheduled}.
spring.sleuth.scheduled.skip-pattern		Pattern for the fully qualified name of a class that should be skipped.
spring.sleuth.span-filter.additional-span-name-patterns-to-ignore		Additional list of span names to ignore. Will be appended to {@link #spanNamePatternsToSkip}.
spring.sleuth.span-filter.enabled	`false`	Will turn on the default Sleuth handler mechanism. Might ignore exporting of certain spans;
spring.sleuth.span-filter.span-name-patterns-to-skip	`^catalogWatchTaskScheduler$`	List of span names to ignore. They will not be sent to external systems.
spring.sleuth.supports-join	`true`	True means the tracing system supports sharing a span ID between a client and server.
spring.sleuth.trace-id128	`false`	When true, generate 128-bit trace IDs instead of 64-bit ones.
spring.sleuth.tracer.mode		Set which tracer implementation should be picked.
spring.sleuth.web.additional-skip-pattern		Additional pattern for URLs that should be skipped in tracing. This will be appended to the {@link SleuthWebProperties#skipPattern}.
spring.sleuth.web.client.enabled	`true`	Enable interceptor injecting into {@link org.springframework.web.client.RestTemplate}.
spring.sleuth.web.client.skip-pattern		Pattern for URLs that should be skipped in client side tracing.
spring.sleuth.web.enabled	`true`	When true enables instrumentation for web applications.
spring.sleuth.web.filter-order	`0`	Order in which the tracing filters should be registered.
spring.sleuth.web.ignore-auto-configured-skip-patterns	`false`	If set to true, auto-configured skip patterns will be ignored.
spring.sleuth.web.servlet.enabled	`true`	Enable servlet instrumentation.
spring.sleuth.web.skip-pattern	`/api-docs.\|/swagger.\|.\.png\|.\.css\|.\.js\|.\.html\|/favicon.ico\|/hystrix.stream`	Pattern for URLs that should be skipped in tracing.
spring.sleuth.web.webclient.enabled	`true`	Enable tracing instrumentation for WebClient.
spring.zipkin.activemq.message-max-bytes	`100000`	Maximum number of bytes for a given message with spans sent to Zipkin over ActiveMQ.
spring.zipkin.activemq.queue	`zipkin`	Name of the ActiveMQ queue where spans should be sent to Zipkin.
spring.zipkin.api-path		The API path to append to baseUrl (above) as suffix. This applies if you use other monitoring tools, such as New Relic. The trace API doesn’t need the API path, so you can set it to blank ("") in the configuration.
spring.zipkin.base-url	`localhost:9411/`	URL of the zipkin query server instance. You can also provide the service id of the Zipkin server if Zipkin’s registered in service discovery (e.g. zipkinserver/).
spring.zipkin.compression.enabled	`false`
spring.zipkin.discovery-client-enabled		If set to {@code false}, will treat the {@link ZipkinProperties#baseUrl} as a URL always.
spring.zipkin.enabled	`true`	Enables sending spans to Zipkin.
spring.zipkin.encoder		Encoding type of spans sent to Zipkin. Set to {@link SpanBytesEncoder#JSON_V1} if your server is not recent.
spring.zipkin.kafka.topic	`zipkin`	Name of the Kafka topic where spans should be sent to Zipkin.
spring.zipkin.locator.discovery.enabled	`false`	Enabling of locating the host name via service discovery.
spring.zipkin.message-timeout	`1`	Timeout in seconds before pending spans will be sent in batches to Zipkin.
spring.zipkin.rabbitmq.addresses		Addresses of the RabbitMQ brokers used to send spans to Zipkin
spring.zipkin.rabbitmq.queue	`zipkin`	Name of the RabbitMQ queue where spans should be sent to Zipkin.
spring.zipkin.sender.type		Means of sending spans to Zipkin.
spring.zipkin.service.name		The name of the service, from which the Span was sent via HTTP, that should appear in Zipkin.

spring.sleuth.async.configurer.enabled

true

Enable default AsyncConfigurer.

spring.sleuth.async.enabled

true

Enable instrumenting async related components so that the tracing information is passed between threads.

spring.sleuth.async.ignored-beans

List of {@link java.util.concurrent.Executor} bean names that should be ignored and not wrapped in a trace representation.

spring.sleuth.baggage.correlation-enabled

true

Enables correlating the baggage context with logging contexts.

spring.sleuth.baggage.correlation-fields

spring.sleuth.baggage.local-fields

spring.sleuth.baggage.remote-fields

List of fields that are referenced the same in-process as it is on the wire. For example, the field "x-vcap-request-id" would be set as-is including the prefix.

spring.sleuth.baggage.tag-fields

spring.sleuth.circuitbreaker.enabled

true

Enable Spring Cloud CircuitBreaker instrumentation.

spring.sleuth.enabled

true

spring.sleuth.feign.enabled

true

Enable span information propagation when using Feign.

spring.sleuth.feign.processor.enabled

true

Enable post processor that wraps Feign Context in its tracing representations.

spring.sleuth.function.enabled

true

Enable instrumenting of Spring Cloud Function and Spring Cloud Function based projects (e.g. Spring Cloud Stream).

spring.sleuth.grpc.enabled

true

Enable span information propagation when using GRPC.

spring.sleuth.http.enabled

true

Enables HTTP support.

spring.sleuth.integration.enabled

true

Enable Spring Integration sleuth instrumentation.

spring.sleuth.integration.patterns

[!hystrixStreamOutput*, , !channel]

An array of patterns against which channel names will be matched. @see org.springframework.integration.config.GlobalChannelInterceptor#patterns() Defaults to any channel name not matching the Hystrix Stream and functional Stream channel names.

spring.sleuth.integration.websockets.enabled

true

Enable tracing for WebSockets.

spring.sleuth.messaging.enabled

false

Should messaging be turned on.

spring.sleuth.messaging.jms.enabled

true

Enable tracing of JMS.

spring.sleuth.messaging.jms.remote-service-name

jms

JMS remote service name.

spring.sleuth.messaging.kafka.enabled

true

Enable tracing of Kafka.

spring.sleuth.messaging.kafka.mapper.enabled

true

Enable DefaultKafkaHeaderMapper tracing for Kafka.

spring.sleuth.messaging.kafka.remote-service-name

kafka

Kafka remote service name.

spring.sleuth.messaging.kafka.streams.enabled

false

Should Kafka Streams be turned on.

spring.sleuth.messaging.rabbit.enabled

true

Enable tracing of RabbitMQ.

spring.sleuth.messaging.rabbit.remote-service-name

rabbitmq

Rabbit remote service name.

spring.sleuth.mongodb.enabled

true

Enable tracing for MongoDb.

spring.sleuth.opentracing.enabled

true

Enables OpenTracing support.

spring.sleuth.propagation.type

Tracing context propagation types.

spring.sleuth.quartz.enabled

true

Enable tracing for Quartz.

spring.sleuth.reactor.decorate-on-each

true

When true decorates on each operator, will be less performing, but logging will always contain the tracing entries in each operator. When false decorates on last operator, will be more performing, but logging might not always contain the tracing entries. @deprecated use explicit value via {@link SleuthReactorProperties#instrumentationType}

spring.sleuth.reactor.enabled

true

When true enables instrumentation for reactor.

spring.sleuth.reactor.instrumentation-type

spring.sleuth.redis.enabled

true

Enable span information propagation when using Redis.

spring.sleuth.redis.remote-service-name

redis

Service name for the remote Redis endpoint.

spring.sleuth.rpc.enabled

true

Enable tracing of RPC.

spring.sleuth.rxjava.schedulers.hook.enabled

true

Enable support for RxJava via RxJavaSchedulersHook.

spring.sleuth.rxjava.schedulers.ignoredthreads

[HystrixMetricPoller, ^RxComputation.*$]

Thread names for which spans will not be sampled.

spring.sleuth.sampler.probability

Probability of requests that should be sampled. E.g. 1.0 - 100% requests should be sampled. The precision is whole-numbers only (i.e. there’s no support for 0.1% of the traces).

spring.sleuth.sampler.rate

10

A rate per second can be a nice choice for low-traffic endpoints as it allows you surge protection. For example, you may never expect the endpoint to get more than 50 requests per second. If there was a sudden surge of traffic, to 5000 requests per second, you would still end up with 50 traces per second. Conversely, if you had a percentage, like 10%, the same surge would end up with 500 traces per second, possibly overloading your storage. Amazon X-Ray includes a rate-limited sampler (named Reservoir) for this purpose. Brave has taken the same approach via the {@link brave.sampler.RateLimitingSampler}.

spring.sleuth.sampler.refresh.enabled

true

Enable refresh scope for sampler.

spring.sleuth.scheduled.enabled

true

Enable tracing for {@link org.springframework.scheduling.annotation.Scheduled}.

spring.sleuth.scheduled.skip-pattern

Pattern for the fully qualified name of a class that should be skipped.

spring.sleuth.span-filter.additional-span-name-patterns-to-ignore

Additional list of span names to ignore. Will be appended to {@link #spanNamePatternsToSkip}.

spring.sleuth.span-filter.enabled

false

Will turn on the default Sleuth handler mechanism. Might ignore exporting of certain spans;

spring.sleuth.span-filter.span-name-patterns-to-skip

^catalogWatchTaskScheduler$

List of span names to ignore. They will not be sent to external systems.

spring.sleuth.supports-join

true

True means the tracing system supports sharing a span ID between a client and server.

spring.sleuth.trace-id128

false

When true, generate 128-bit trace IDs instead of 64-bit ones.

spring.sleuth.tracer.mode

Set which tracer implementation should be picked.

spring.sleuth.web.additional-skip-pattern

Additional pattern for URLs that should be skipped in tracing. This will be appended to the {@link SleuthWebProperties#skipPattern}.

spring.sleuth.web.client.enabled

true

Enable interceptor injecting into {@link org.springframework.web.client.RestTemplate}.

spring.sleuth.web.client.skip-pattern

Pattern for URLs that should be skipped in client side tracing.

spring.sleuth.web.enabled

true

When true enables instrumentation for web applications.

spring.sleuth.web.filter-order

0

Order in which the tracing filters should be registered.

spring.sleuth.web.ignore-auto-configured-skip-patterns

false

If set to true, auto-configured skip patterns will be ignored.

spring.sleuth.web.servlet.enabled

true

Enable servlet instrumentation.

spring.sleuth.web.skip-pattern

Pattern for URLs that should be skipped in tracing.

spring.sleuth.web.webclient.enabled

true

Enable tracing instrumentation for WebClient.

spring.zipkin.activemq.message-max-bytes

100000

Maximum number of bytes for a given message with spans sent to Zipkin over ActiveMQ.

spring.zipkin.activemq.queue

zipkin

Name of the ActiveMQ queue where spans should be sent to Zipkin.

spring.zipkin.api-path

The API path to append to baseUrl (above) as suffix. This applies if you use other monitoring tools, such as New Relic. The trace API doesn’t need the API path, so you can set it to blank ("") in the configuration.

spring.zipkin.base-url

localhost:9411/

URL of the zipkin query server instance. You can also provide the service id of the Zipkin server if Zipkin’s registered in service discovery (e.g. zipkinserver/).

spring.zipkin.compression.enabled

false

spring.zipkin.discovery-client-enabled

If set to {@code false}, will treat the {@link ZipkinProperties#baseUrl} as a URL always.

spring.zipkin.enabled

true

Enables sending spans to Zipkin.

spring.zipkin.encoder

Encoding type of spans sent to Zipkin. Set to {@link SpanBytesEncoder#JSON_V1} if your server is not recent.

spring.zipkin.kafka.topic

zipkin

Name of the Kafka topic where spans should be sent to Zipkin.

spring.zipkin.locator.discovery.enabled

false

Enabling of locating the host name via service discovery.

spring.zipkin.message-timeout

1

Timeout in seconds before pending spans will be sent in batches to Zipkin.

spring.zipkin.rabbitmq.addresses

Addresses of the RabbitMQ brokers used to send spans to Zipkin

spring.zipkin.rabbitmq.queue

zipkin

Name of the RabbitMQ queue where spans should be sent to Zipkin.

spring.zipkin.sender.type

Means of sending spans to Zipkin.

spring.zipkin.service.name

The name of the service, from which the Span was sent via HTTP, that should appear in Zipkin.