diff --git a/multi/multi__introduction.html b/multi/multi__introduction.html index a43f78a49..004efac97 100644 --- a/multi/multi__introduction.html +++ b/multi/multi__introduction.html @@ -241,4 +241,51 @@ dependencies { compile "org.springframework.cloud:spring-cloud-starter-zipkin" 2 compile "org.springframework.amqp:spring-rabbit" 3 }

-

1

We recommend that you add the dependency management through the Spring BOM so that you need not manage versions yourself.

2

Add the dependency to spring-cloud-starter-zipkin. That way, all nested dependencies get downloaded.

3

To automatically configure RabbitMQ, add the spring-rabbit dependency.

Prev   Next
 Home 2. Additional Resources
\ No newline at end of file +

1

We recommend that you add the dependency management through the Spring BOM so that you need not manage versions yourself.

2

Add the dependency to spring-cloud-starter-zipkin. That way, all nested dependencies get downloaded.

3

To automatically configure RabbitMQ, add the spring-rabbit dependency.

1.4 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
+protected static class MyConfig {
+
+	@Bean(ZipkinAutoConfiguration.REPORTER_BEAN_NAME)
+	Reporter<zipkin2.Span> myReporter() {
+		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);
+		}
+
+	}
+
+}
Prev   Next
 Home 2. Additional Resources
\ No newline at end of file diff --git a/multi/multi_spring-cloud-sleuth.html b/multi/multi_spring-cloud-sleuth.html index a7c7e0a1b..a216c00be 100644 --- a/multi/multi_spring-cloud-sleuth.html +++ b/multi/multi_spring-cloud-sleuth.html @@ -1,3 +1,3 @@ - Spring Cloud Sleuth
Spring Cloud Sleuth
   Next

Spring Cloud Sleuth

Adrian Cole, Spencer Gibb, Marcin Grzejszczak, Dave Syer, Jay Bryant

Table of Contents

1. Introduction
1.1. Terminology
1.2. Purpose
1.2.1. Distributed Tracing with Zipkin
1.2.2. Visualizing errors
1.2.3. Distributed Tracing with Brave
1.2.4. Live examples
1.2.5. Log correlation
JSON Logback with Logstash
1.2.6. Propagating Span Context
Baggage versus Span Tags
1.3. Adding Sleuth to the Project
1.3.1. Only Sleuth (log correlation)
1.3.2. Sleuth with Zipkin via HTTP
1.3.3. Sleuth with Zipkin over RabbitMQ or Kafka
2. Additional Resources
3. Features
3.1. Introduction to Brave
3.1.1. Tracing
3.1.2. Local Tracing
3.1.3. Customizing Spans
3.1.4. Implicitly Looking up the Current Span
3.1.5. RPC tracing
One-Way tracing
4. Sampling
4.1. Declarative sampling
4.2. Custom sampling
4.3. Sampling in Spring Cloud Sleuth
5. Propagation
5.1. Propagating extra fields
5.1.1. Prefixed fields
5.1.2. Extracting a Propagated Context
5.1.3. Sharing span IDs between Client and Server
5.1.4. Implementing Propagation
6. Current Tracing Component
7. Current Span
7.1. Setting a span in scope manually
8. Instrumentation
9. Span lifecycle
9.1. Creating and finishing spans
9.2. Continuing Spans
9.3. Creating a Span with an explicit Parent
10. Naming spans
10.1. @SpanName Annotation
10.2. toString() method
11. Managing Spans with Annotations
11.1. Rationale
11.2. Creating New Spans
11.3. Continuing Spans
11.4. Advanced Tag Setting
11.4.1. Custom extractor
11.4.2. Resolving Expressions for a Value
11.4.3. Using the toString() method
12. Customizations
12.1. HTTP
12.2. TracingFilter
12.3. Custom service name
12.4. Customization of Reported Spans
12.5. Host Locator
13. Sending Spans to Zipkin
14. Zipkin Stream Span Consumer
15. Integrations
15.1. OpenTracing
15.2. Runnable and Callable
15.3. Hystrix
15.3.1. Custom Concurrency Strategy
15.3.2. Manual Command setting
15.4. RxJava
15.5. HTTP integration
15.5.1. HTTP Filter
15.5.2. HandlerInterceptor
15.5.3. Async Servlet support
15.5.4. WebFlux support
15.5.5. Dubbo RPC support
15.6. HTTP Client Integration
15.6.1. Synchronous Rest Template
15.6.2. Asynchronous Rest Template
Multiple Asynchronous Rest Templates
15.6.3. WebClient
15.6.4. Traverson
15.6.5. Apache HttpClientBuilder and HttpAsyncClientBuilder
15.6.6. Netty HttpClient
15.6.7. UserInfoRestTemplateCustomizer
15.7. Feign
15.8. gRPC
15.8.1. Dependencies
15.8.2. Server Instrumentation
15.8.3. Client Instrumentation
15.9. Asynchronous Communication
15.9.1. @Async Annotated methods
15.9.2. @Scheduled Annotated Methods
15.9.3. Executor, ExecutorService, and ScheduledExecutorService
Customization of Executors
15.10. Messaging
15.10.1. Spring Integration and Spring Cloud Stream
15.10.2. Spring RabbitMq
15.10.3. Spring Kafka
15.10.4. Spring JMS
15.11. Zuul
16. Running examples
   Next
   
\ No newline at end of file + Spring Cloud Sleuth
Spring Cloud Sleuth
   Next

Spring Cloud Sleuth

Adrian Cole, Spencer Gibb, Marcin Grzejszczak, Dave Syer, Jay Bryant

Table of Contents

1. Introduction
1.1. Terminology
1.2. Purpose
1.2.1. Distributed Tracing with Zipkin
1.2.2. Visualizing errors
1.2.3. Distributed Tracing with Brave
1.2.4. Live examples
1.2.5. Log correlation
JSON Logback with Logstash
1.2.6. Propagating Span Context
Baggage versus Span Tags
1.3. Adding Sleuth to the Project
1.3.1. Only Sleuth (log correlation)
1.3.2. Sleuth with Zipkin via HTTP
1.3.3. Sleuth with Zipkin over RabbitMQ or Kafka
1.4. Overriding the auto-configuration of Zipkin
2. Additional Resources
3. Features
3.1. Introduction to Brave
3.1.1. Tracing
3.1.2. Local Tracing
3.1.3. Customizing Spans
3.1.4. Implicitly Looking up the Current Span
3.1.5. RPC tracing
One-Way tracing
4. Sampling
4.1. Declarative sampling
4.2. Custom sampling
4.3. Sampling in Spring Cloud Sleuth
5. Propagation
5.1. Propagating extra fields
5.1.1. Prefixed fields
5.1.2. Extracting a Propagated Context
5.1.3. Sharing span IDs between Client and Server
5.1.4. Implementing Propagation
6. Current Tracing Component
7. Current Span
7.1. Setting a span in scope manually
8. Instrumentation
9. Span lifecycle
9.1. Creating and finishing spans
9.2. Continuing Spans
9.3. Creating a Span with an explicit Parent
10. Naming spans
10.1. @SpanName Annotation
10.2. toString() method
11. Managing Spans with Annotations
11.1. Rationale
11.2. Creating New Spans
11.3. Continuing Spans
11.4. Advanced Tag Setting
11.4.1. Custom extractor
11.4.2. Resolving Expressions for a Value
11.4.3. Using the toString() method
12. Customizations
12.1. HTTP
12.2. TracingFilter
12.3. Custom service name
12.4. Customization of Reported Spans
12.5. Host Locator
13. Sending Spans to Zipkin
14. Zipkin Stream Span Consumer
15. Integrations
15.1. OpenTracing
15.2. Runnable and Callable
15.3. Hystrix
15.3.1. Custom Concurrency Strategy
15.3.2. Manual Command setting
15.4. RxJava
15.5. HTTP integration
15.5.1. HTTP Filter
15.5.2. HandlerInterceptor
15.5.3. Async Servlet support
15.5.4. WebFlux support
15.5.5. Dubbo RPC support
15.6. HTTP Client Integration
15.6.1. Synchronous Rest Template
15.6.2. Asynchronous Rest Template
Multiple Asynchronous Rest Templates
15.6.3. WebClient
15.6.4. Traverson
15.6.5. Apache HttpClientBuilder and HttpAsyncClientBuilder
15.6.6. Netty HttpClient
15.6.7. UserInfoRestTemplateCustomizer
15.7. Feign
15.8. gRPC
15.8.1. Dependencies
15.8.2. Server Instrumentation
15.8.3. Client Instrumentation
15.9. Asynchronous Communication
15.9.1. @Async Annotated methods
15.9.2. @Scheduled Annotated Methods
15.9.3. Executor, ExecutorService, and ScheduledExecutorService
Customization of Executors
15.10. Messaging
15.10.1. Spring Integration and Spring Cloud Stream
15.10.2. Spring RabbitMq
15.10.3. Spring Kafka
15.10.4. Spring JMS
15.11. Zuul
16. Running examples
   Next
   
\ No newline at end of file diff --git a/single/spring-cloud-sleuth.html b/single/spring-cloud-sleuth.html index f28b78511..e0958f293 100644 --- a/single/spring-cloud-sleuth.html +++ b/single/spring-cloud-sleuth.html @@ -1,6 +1,6 @@ - Spring Cloud Sleuth

Spring Cloud Sleuth

Adrian Cole, Spencer Gibb, Marcin Grzejszczak, Dave Syer, Jay Bryant

Table of Contents

1. Introduction
1.1. Terminology
1.2. Purpose
1.2.1. Distributed Tracing with Zipkin
1.2.2. Visualizing errors
1.2.3. Distributed Tracing with Brave
1.2.4. Live examples
1.2.5. Log correlation
JSON Logback with Logstash
1.2.6. Propagating Span Context
Baggage versus Span Tags
1.3. Adding Sleuth to the Project
1.3.1. Only Sleuth (log correlation)
1.3.2. Sleuth with Zipkin via HTTP
1.3.3. Sleuth with Zipkin over RabbitMQ or Kafka
2. Additional Resources
3. Features
3.1. Introduction to Brave
3.1.1. Tracing
3.1.2. Local Tracing
3.1.3. Customizing Spans
3.1.4. Implicitly Looking up the Current Span
3.1.5. RPC tracing
One-Way tracing
4. Sampling
4.1. Declarative sampling
4.2. Custom sampling
4.3. Sampling in Spring Cloud Sleuth
5. Propagation
5.1. Propagating extra fields
5.1.1. Prefixed fields
5.1.2. Extracting a Propagated Context
5.1.3. Sharing span IDs between Client and Server
5.1.4. Implementing Propagation
6. Current Tracing Component
7. Current Span
7.1. Setting a span in scope manually
8. Instrumentation
9. Span lifecycle
9.1. Creating and finishing spans
9.2. Continuing Spans
9.3. Creating a Span with an explicit Parent
10. Naming spans
10.1. @SpanName Annotation
10.2. toString() method
11. Managing Spans with Annotations
11.1. Rationale
11.2. Creating New Spans
11.3. Continuing Spans
11.4. Advanced Tag Setting
11.4.1. Custom extractor
11.4.2. Resolving Expressions for a Value
11.4.3. Using the toString() method
12. Customizations
12.1. HTTP
12.2. TracingFilter
12.3. Custom service name
12.4. Customization of Reported Spans
12.5. Host Locator
13. Sending Spans to Zipkin
14. Zipkin Stream Span Consumer
15. Integrations
15.1. OpenTracing
15.2. Runnable and Callable
15.3. Hystrix
15.3.1. Custom Concurrency Strategy
15.3.2. Manual Command setting
15.4. RxJava
15.5. HTTP integration
15.5.1. HTTP Filter
15.5.2. HandlerInterceptor
15.5.3. Async Servlet support
15.5.4. WebFlux support
15.5.5. Dubbo RPC support
15.6. HTTP Client Integration
15.6.1. Synchronous Rest Template
15.6.2. Asynchronous Rest Template
Multiple Asynchronous Rest Templates
15.6.3. WebClient
15.6.4. Traverson
15.6.5. Apache HttpClientBuilder and HttpAsyncClientBuilder
15.6.6. Netty HttpClient
15.6.7. UserInfoRestTemplateCustomizer
15.7. Feign
15.8. gRPC
15.8.1. Dependencies
15.8.2. Server Instrumentation
15.8.3. Client Instrumentation
15.9. Asynchronous Communication
15.9.1. @Async Annotated methods
15.9.2. @Scheduled Annotated Methods
15.9.3. Executor, ExecutorService, and ScheduledExecutorService
Customization of Executors
15.10. Messaging
15.10.1. Spring Integration and Spring Cloud Stream
15.10.2. Spring RabbitMq
15.10.3. Spring Kafka
15.10.4. Spring JMS
15.11. Zuul
16. Running examples

2.1.0.BUILD-SNAPSHOT

1. Introduction

Spring Cloud Sleuth implements a distributed tracing solution for Spring Cloud.

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. + Spring Cloud Sleuth

Spring Cloud Sleuth

Adrian Cole, Spencer Gibb, Marcin Grzejszczak, Dave Syer, Jay Bryant

Table of Contents

1. Introduction
1.1. Terminology
1.2. Purpose
1.2.1. Distributed Tracing with Zipkin
1.2.2. Visualizing errors
1.2.3. Distributed Tracing with Brave
1.2.4. Live examples
1.2.5. Log correlation
JSON Logback with Logstash
1.2.6. Propagating Span Context
Baggage versus Span Tags
1.3. Adding Sleuth to the Project
1.3.1. Only Sleuth (log correlation)
1.3.2. Sleuth with Zipkin via HTTP
1.3.3. Sleuth with Zipkin over RabbitMQ or Kafka
1.4. Overriding the auto-configuration of Zipkin
2. Additional Resources
3. Features
3.1. Introduction to Brave
3.1.1. Tracing
3.1.2. Local Tracing
3.1.3. Customizing Spans
3.1.4. Implicitly Looking up the Current Span
3.1.5. RPC tracing
One-Way tracing
4. Sampling
4.1. Declarative sampling
4.2. Custom sampling
4.3. Sampling in Spring Cloud Sleuth
5. Propagation
5.1. Propagating extra fields
5.1.1. Prefixed fields
5.1.2. Extracting a Propagated Context
5.1.3. Sharing span IDs between Client and Server
5.1.4. Implementing Propagation
6. Current Tracing Component
7. Current Span
7.1. Setting a span in scope manually
8. Instrumentation
9. Span lifecycle
9.1. Creating and finishing spans
9.2. Continuing Spans
9.3. Creating a Span with an explicit Parent
10. Naming spans
10.1. @SpanName Annotation
10.2. toString() method
11. Managing Spans with Annotations
11.1. Rationale
11.2. Creating New Spans
11.3. Continuing Spans
11.4. Advanced Tag Setting
11.4.1. Custom extractor
11.4.2. Resolving Expressions for a Value
11.4.3. Using the toString() method
12. Customizations
12.1. HTTP
12.2. TracingFilter
12.3. Custom service name
12.4. Customization of Reported Spans
12.5. Host Locator
13. Sending Spans to Zipkin
14. Zipkin Stream Span Consumer
15. Integrations
15.1. OpenTracing
15.2. Runnable and Callable
15.3. Hystrix
15.3.1. Custom Concurrency Strategy
15.3.2. Manual Command setting
15.4. RxJava
15.5. HTTP integration
15.5.1. HTTP Filter
15.5.2. HandlerInterceptor
15.5.3. Async Servlet support
15.5.4. WebFlux support
15.5.5. Dubbo RPC support
15.6. HTTP Client Integration
15.6.1. Synchronous Rest Template
15.6.2. Asynchronous Rest Template
Multiple Asynchronous Rest Templates
15.6.3. WebClient
15.6.4. Traverson
15.6.5. Apache HttpClientBuilder and HttpAsyncClientBuilder
15.6.6. Netty HttpClient
15.6.7. UserInfoRestTemplateCustomizer
15.7. Feign
15.8. gRPC
15.8.1. Dependencies
15.8.2. Server Instrumentation
15.8.3. Client Instrumentation
15.9. Asynchronous Communication
15.9.1. @Async Annotated methods
15.9.2. @Scheduled Annotated Methods
15.9.3. Executor, ExecutorService, and ScheduledExecutorService
Customization of Executors
15.10. Messaging
15.10.1. Spring Integration and Spring Cloud Stream
15.10.2. Spring RabbitMq
15.10.3. Spring Kafka
15.10.4. Spring JMS
15.11. Zuul
16. Running examples

2.1.0.BUILD-SNAPSHOT

1. Introduction

Spring Cloud Sleuth implements a distributed tracing solution for Spring Cloud.

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 are identified by a unique 64-bit ID for the span and another 64-bit ID for the trace the span is a part of. 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.

[Tip]Tip

The initial span that starts a trace is called a root span. The value of the ID @@ -241,7 +241,54 @@ dependencies { compile "org.springframework.cloud:spring-cloud-starter-zipkin" 2 compile "org.springframework.amqp:spring-rabbit" 3 }

-

1

We recommend that you add the dependency management through the Spring BOM so that you need not manage versions yourself.

2

Add the dependency to spring-cloud-starter-zipkin. That way, all nested dependencies get downloaded.

3

To automatically configure RabbitMQ, add the spring-rabbit dependency.

2. Additional Resources

You can watch a video of Reshmi Krishna and Marcin Grzejszczak talking about Spring Cloud +

1

We recommend that you add the dependency management through the Spring BOM so that you need not manage versions yourself.

2

Add the dependency to spring-cloud-starter-zipkin. That way, all nested dependencies get downloaded.

3

To automatically configure RabbitMQ, add the spring-rabbit dependency.

1.4 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
+protected static class MyConfig {
+
+	@Bean(ZipkinAutoConfiguration.REPORTER_BEAN_NAME)
+	Reporter<zipkin2.Span> myReporter() {
+		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);
+		}
+
+	}
+
+}

2. Additional Resources

You can watch a video of Reshmi Krishna and Marcin Grzejszczak talking about Spring Cloud Sleuth and Zipkin by clicking here.

You can check different setups of Sleuth and Brave in the openzipkin/sleuth-webmvc-example repository.

3. Features

  • Adds trace and span IDs to the Slf4J MDC, so you can extract all the logs from a given trace or span in a log aggregator, as shown in the following example logs:

    2016-02-02 15:30:57.902  INFO [bar,6bfd228dc00d216b,6bfd228dc00d216b,false] 23030 --- [nio-8081-exec-3] ...
 2016-02-02 15:30:58.372 ERROR [bar,6bfd228dc00d216b,6bfd228dc00d216b,false] 23030 --- [nio-8081-exec-3] ...
 2016-02-02 15:31:01.936  INFO [bar,46ab0d418373cbc9,46ab0d418373cbc9,false] 23030 --- [nio-8081-exec-4] ...

    Notice the [appname,traceId,spanId,exportable] entries from the MDC:

    • spanId: The ID of a specific operation that took place.
    • appname: The name of the application that logged the span.
    • traceId: The ID of the latency graph that contains the span.
    • exportable: Whether the log should be exported to Zipkin. diff --git a/spring-cloud-sleuth.xml b/spring-cloud-sleuth.xml index c4338cdbc..6861aea06 100644 --- a/spring-cloud-sleuth.xml +++ b/spring-cloud-sleuth.xml @@ -601,6 +601,58 @@ dependencies { +
      +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 +protected static class MyConfig { + + @Bean(ZipkinAutoConfiguration.REPORTER_BEAN_NAME) + Reporter<zipkin2.Span> myReporter() { + 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); + } + + } + +} +
      Additional Resources