how to log Spring 5 WebClient call
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Introduction
Logging is an essential practice when working with web applications, as it helps track system behavior, detect anomalies, and diagnose issues. In the context of web applications using Spring Framework, especially with Spring 5's reactive WebClient, logging HTTP requests and responses can provide valuable insights. In this article, we delve into the mechanics of logging with WebClient, including setup, configuration, and best practices.
Overview of Spring WebClient
Spring WebClient is a non-blocking, reactive client that supports synchronous and asynchronous requests. It is part of Spring WebFlux and is designed to work with reactive streams, providing a modern approach to handling web requests compared to its predecessor, RestTemplate.
Configuring Logging in Spring WebClient
Effective logging in WebClient involves two main aspects: configuring logging for HTTP requests/responses and utilizing WebClient's exchange() method to log requests and responses gracefully.
Library Dependency
To access logging interceptors and utilities, ensure you have the necessary dependencies in your pom.xml if using Maven:
For Gradle-based projects, use:
Basic Logging Setup
Spring Boot uses SLF4J with Logback as the default logging framework. To enable logging of requests and responses:
- Log Configuration: Adjust your
application.propertiesorapplication.ymlto set the logging level. For comprehensive logs, setDEBUGlevel.
- Using Logback Configuration (
logback.xml):
Intercepting Requests and Responses
To add custom logging, consider using filters and hooks available in WebClient:
Handling Request/Response Bodies
To log request and response bodies, buffer the content. This can be memory-intensive for large payloads, so use cautiously:
Attach this to the response processing part of your filter implementation.
Best Practices for Logging WebClient Calls
- Log at Appropriate Levels: Use
DEBUGlevel for detailed logs andINFOfor general request/response summaries. Avoid logging sensitive information at verbose levels in production. - Use Structured Logging: Employ JSON or key-value pairs to make logs searchable and structured.
- Avoid Excessive Logging: Logging large payloads or excessive details can impact performance.
- Leverage MDC (Mapped Diagnostic Context): Use MDC to associate requests with certain context information which is useful for correlation in distributed systems.
- Filter Sensitive Information: Be cautious not to log sensitive information, like passwords or personal details.
Summary Table
| Action | Recommendation |
| Log Levels | Use DEBUG for development; adjust as necessary for production |
| Intercept Requests/Responses | Utilize .filter() on WebClient for custom logging |
| Log Configuration | Use logback.xml or application.properties for configuring log levels and appenders |
| Log Format | Consider structured logging with JSON format |
| Body Logging | Buffer with caution; applicable for non-sensitive data or in-depth debugging |
| Sensitive Information | Filter out or mask sensitive data in logs |
Conclusion
Logging in Spring 5 WebClient is a powerful tool to observe and diagnose runtime behavior. By carefully configuring, intercepting, and managing logs, developers can gain deep insights into their applications while maintaining performance and security. As always, remember to align your logging strategy with your application's operational requirements and data privacy policies.

