How to use Java to develop a distributed tracing system based on Spring Cloud Sleuth

How to use Java to develop a distributed tracing system based on Spring Cloud Sleuth

Introduction:
With the popularity of microservice architecture, more and more Applications are transformed from a single monolithic application into a distributed system composed of multiple microservices. In a complex distributed system, it becomes very difficult to trace the call path of a request. At this time, a reliable and effective distributed tracing system becomes essential. This article will introduce how to use Java to develop a distributed tracing system based on Spring Cloud Sleuth and provide specific code examples.

1. What is a distributed tracing system?
Distributed tracing system is a tool used to monitor and trace the call path of requests in distributed systems. It traces the call chain of a request by passing a unique identifier (Trace ID) between various services. The distributed tracing system can record the request time, response time, request path and topological relationship of each service, and aggregate, analyze and display this information to facilitate developers to locate and solve problems.

2. Introduction to Spring Cloud Sleuth
Spring Cloud Sleuth is a Zipkin-based distributed tracing solution provided in the Spring Cloud ecosystem. It forms a complete call link by adding standard HTTP headers and some data to each service request, and then sends these data to Zipkin Server for aggregation and display.

3. Example of developing a distributed tracing system

1. Use Spring Boot to create a simple distributed system
   First, we need to create a system that contains multiple microservices Distributed Systems. In this example, we create two microservices: Order Service and Product Service. The Order Service receives the order request and calls the Product Service to perform product inventory operations.

2. Add dependencies
   In the pom.xml file of each service, add Spring Cloud Sleuth and Zipkin dependencies:

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

3. Configure Application
   In the configuration file of each service, add the following configuration:

   spring:
     zipkin:
    base-url: http://localhost:9411
   sleuth:
     sampler:
    probability: 1.0

4. Use Tracing in the code
   In the code of Order Service and Product Service, use the Tracing object to Tracking requests. At the beginning of the call chain, create a new Span and add the Trace ID to the request. When a request is passed between each service, the corresponding Span information is automatically added to the request.

   @Autowired
   private Tracer tracer;
   
   public void placeOrder(Order order) {
    Span span = tracer.createSpan("placeOrder");
    try {
        // 业务逻辑
        productClient.updateProductStock(order.getProductId(), order.getQuantity());
    } finally {
        tracer.close(span);
    }
   }

5. Start Zipkin Server
   Download and start Zipkin Server, visit http://localhost:9411 to view tracking information.
6. Testing the distributed tracking system
   Start the Order Service and Product Service, and send an order request. Then check the tracking information on the Zipkin interface. You can see that the order request is passed from the Order Service to the Product Service, and information such as the call path of the request and the time between services are displayed.

Conclusion:
This article introduces how to use Java to develop a distributed tracing system based on Spring Cloud Sleuth. By using Spring Cloud Sleuth and Zipkin, we can easily track and monitor the request call path in the distributed system. I hope this article will help everyone understand and apply distributed tracing systems.

The above is the detailed content of How to use Java to develop a distributed tracing system based on Spring Cloud Sleuth. For more information, please follow other related articles on the PHP Chinese website!