diff --git a/multi/multi__integrations.html b/multi/multi__integrations.html index aa2def57b..7307baabb 100644 --- a/multi/multi__integrations.html +++ b/multi/multi__integrations.html @@ -125,7 +125,9 @@ This behavior may be annoying. That’s why, by default, new TraceableExecutorService(beanFactory, executorService, // 'calculateTax' explicitly names the span - this param is optional "calculateTax"));
[Important]Important

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.

Customization of Executors

Sometimes, you need to set up a custom instance of the AsyncExecutor. +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.

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
 @EnableAutoConfiguration
 @EnableAsync
diff --git a/multi/multi_pr01.html b/multi/multi_pr01.html
index 9d68e972d..e151ea40e 100644
--- a/multi/multi_pr01.html
+++ b/multi/multi_pr01.html
@@ -1,3 +1,3 @@
 
       
-   
Prev   Next
2.0.1.BUILD-SNAPSHOT
Prev   Next
Spring Cloud Sleuth Home 1. Introduction

\ No newline at end of file
+   
Prev   Next
2.1.0.BUILD-SNAPSHOT
Prev   Next
Spring Cloud Sleuth Home 1. Introduction

\ No newline at end of file
diff --git a/single/spring-cloud-sleuth.html b/single/spring-cloud-sleuth.html
index 056cff6c0..573597444 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. Asynchronous Communication
15.8.1. @Async Annotated methods
15.8.2. @Scheduled Annotated Methods
15.8.3. Executor, ExecutorService, and ScheduledExecutorService
Customization of Executors
15.9. Messaging
15.9.1. Spring Integration and Spring Cloud Stream
15.9.2. Spring RabbitMq
15.9.3. Spring Kafka
15.10. Zuul
16. Running examples
2.0.1.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
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. Asynchronous Communication
15.8.1. @Async Annotated methods
15.8.2. @Scheduled Annotated Methods
15.8.3. Executor, ExecutorService, and ScheduledExecutorService
Customization of Executors
15.9. Messaging
15.9.1. Spring Integration and Spring Cloud Stream
15.9.2. Spring RabbitMq
15.9.3. Spring Kafka
15.10. 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
@@ -857,7 +857,9 @@ This behavior may be annoying. That’s why, by default, new TraceableExecutorService(beanFactory, executorService,
 		// 'calculateTax' explicitly names the span - this param is optional
 		"calculateTax"));
[Important]Important
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.
Customization of Executors
Sometimes, you need to set up a custom instance of the AsyncExecutor.
+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.
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
 @EnableAutoConfiguration
 @EnableAsync
diff --git a/spring-cloud-sleuth.html b/spring-cloud-sleuth.html
index bc8f5b535..250d90733 100644
--- a/spring-cloud-sleuth.html
+++ b/spring-cloud-sleuth.html
@@ -90,7 +90,7 @@ $(addBlockSwitches);
 

 

 

-
2.0.1.BUILD-SNAPSHOT

+
2.1.0.BUILD-SNAPSHOT

 

 

 

diff --git a/spring-cloud-sleuth.xml b/spring-cloud-sleuth.xml
index fe4d871d4..a04cb1ba5 100644
--- a/spring-cloud-sleuth.xml
+++ b/spring-cloud-sleuth.xml
@@ -4,7 +4,7 @@
 
 
 Spring Cloud Sleuth
-2018-07-24
+2018-07-25
 
 
 Adrian Cole, Spencer Gibb, Marcin Grzejszczak, Dave Syer, Jay Bryant
@@ -14,7 +14,7 @@
 
 
 
-2.0.1.BUILD-SNAPSHOT
+2.1.0.BUILD-SNAPSHOT
 
 
 Introduction
@@ -1879,6 +1879,9 @@ This behavior may be annoying. That’s why, by default, spring.sle
 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.
 

 Customization of Executors
 Sometimes, you need to set up a custom instance of the AsyncExecutor.