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Table of Contents
What is MDC?
How to use MDC in code?
Automatically inject MDC information into web applications
Example: Setting up MDC in Spring Interceptor
MDC delivery issues in multithreaded and asynchronous tasks
Log framework configuration suggestions
Home Java javaTutorial Advanced Java Logging Configuration with MDC

Advanced Java Logging Configuration with MDC

Jul 23, 2025 am 12:51 AM

MDC is a thread binding context map provided by SLF4J to add custom information to the log for improved traceability. 1. Use MDC.put(key, value) to add context data, such as user ID and request ID; 2. Output these fields (such as Logback, Log4j2) through %X{key} in the log configuration; 3. Automatically inject MDC information through interceptors or filters in a web application, and call MDC.clear() after the request is completed; 4. Manually pass the MDC context in multithreaded or asynchronous tasks, which can be implemented by encapsulating Executor or using third-party libraries; 5. Configure the log framework (such as Logback, Log4j2) to ensure the correct output of MDC information. JSON format logs must support MDC field serialization. Rational use of MDC can significantly improve log troubleshooting efficiency.

Advanced Java Logging Configuration with MDC

In Java applications, especially in enterprise-level or distributed systems, if log information is mixed indiscriminately, it will be very difficult to troubleshoot problems. MDC (Mapped Diagnostic Context) is used to solve this problem. It allows you to add custom context information (such as user ID, request ID, IP, etc.) to the log context, so that the log is more readable and traceable.

Advanced Java Logging Configuration with MDC

Here are some practical suggestions on how to use MDC in Java for advanced log configuration.


What is MDC?

MDC is a thread-bound context map provided by SLF4J, which allows you to add some context information to the logging of the current thread. This information is attached to each log output, which is ideal for logs that distinguish different requests, users, or sessions.

Advanced Java Logging Configuration with MDC

For example, if you are processing an HTTP request, you can put the request ID or user ID into the MDC, so that each log will have this ID, so that all logs of a request can be quickly located when troubleshooting problems.


How to use MDC in code?

Using MDC is very simple, you just need to call MDC.put(key, value) method in your code:

Advanced Java Logging Configuration with MDC
 MDC.put("userId", "12345");
MDC.put("requestId", "req-789");

These fields are then output in the log by configuring the format. For example, the pattern of Logback can be written like this:

 %d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %X{userId} %X{requestId} - %msg%n

Note: MDC is thread-based, so special attention should be paid to context passing issues when used in asynchronous or thread pools.


Automatically inject MDC information into web applications

In order not to manually set up MDCs for each business code, we usually choose to automatically inject context information when requests enter the system. For example, you can use an interceptor or a filter in Spring:

Example: Setting up MDC in Spring Interceptor

 @Override
public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {
    String userId = request.getHeader("X-User-ID");
    String requestId = UUID.randomUUID().toString();
    MDC.put("userId", userId);
    MDC.put("requestId", requestId);
    return true;
}

@Override
public void afterCompletion(HttpServletRequest request, HttpServletResponse response, Object handler, Exception ex) throws Exception {
    MDC.clear();
}

Important: Remember to call MDC.clear() or MDC.remove(key) after each request is over to avoid context pollution caused by thread reuse.


MDC delivery issues in multithreaded and asynchronous tasks

Since MDC is implemented based on thread-local variables (ThreadLocal), when you switch threads in asynchronous tasks, the contents of MDC are not automatically passed.

Solution:

  • Use ThreadLocal tool class to manually pass the context (such as getting the current MDC content before submitting the task and resetting it in a new thread)
  • Use MDCInsertingServletFilter (provided by Spring) or third-party libraries such as logbook , spring-cloud-sleuth , etc. to automatically handle it
  • When using CompletableFuture , you can encapsulate a custom Executor to pass MDC
 ExecutorService executor = Executors.newFixedThreadPool(10, r -> {
    Map<String, String> contextMap = MDC.getCopyOfContextMap();
    return new Thread(() -> {
        if (contextMap != null) {
            MDC.setContextMap(contextMap);
        }
        try {
            r.run();
        } finally {
            MDC.clear();
        }
    });
});

Log framework configuration suggestions

Different log frameworks support MDC slightly differently, but the basic usage is consistent. The following are the configuration tips for several mainstream frameworks:

  • Logback : Use %X{key} to output MDC value
  • Log4j2 : Use %X{key} or %d{...} [%t] %-5p %c - %X{userId} %m%n
  • Log4j : Supports %x (NDC) and %X{key} (MDC)

If you are using JSON format log output (for example for ELK), make sure your log formatter supports serialization of MDC fields.


Basically that's it. MDC is not complicated, but if used properly, it can significantly improve the readability and troubleshooting efficiency of logs. The key is to set up and clean the context at the right time, especially in asynchronous or multi-threaded environments to pay more attention to context delivery.

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