Lock the doors.
—LEROY CAIN, Flight Director, Columbia Mission Control
Chapter 8: Mapped Diagnostic Context
One of the design goals of logback is to audit and debug complex distributed applications. Most real-world distributed systems need to deal with multiple clients simultaneously. In a typical multithreaded implementation of such a system, different threads will handle different clients. A possible but slightly discouraged approach to differentiate the logging output of one client from another consists of instantiating a new and separate logger for each client. This technique promotes the proliferation of loggers and may increase their management overhead.
A lighter technique consists of uniquely stamping each log request servicing a given client. Neil Harrison described this method in the book Patterns for Logging Diagnostic Messages in Pattern Languages of Program Design 3, edited by R. Martin, D. Riehle, and F. Buschmann (Addison-Wesley, 1997). Logback leverages a variant of this technique included in the SLF4J API: Mapped Diagnostic Contexts (MDC).
To uniquely stamp each request, the user puts contextual
information into the MDC
, the abbreviation of Mapped
Diagnostic Context. The salient parts of the MDC class are shown
below. Please refer to the MDC
javadocs for a complete list of methods.
package org.slf4j; public class MDC { //Put a context value as identified by key //into the current thread's context map. public static void put(String key, String val); //Get the context identified by thekey
parameter. public static String get(String key); //Remove the context identified by thekey
parameter. public static void remove(String key); //Clear all entries in the MDC. public static void clear(); }
The MDC
class contains only static methods. It
lets the developer place information in a diagnostic
context that can be subsequently retrieved by certain logback
components. The MDC
manages contextual information on
a per thread basis. Typically, while starting to service
a new client request, the developer will insert pertinent
contextual information, such as the client id, client's IP
address, request parameters etc. into the
MDC
. Logback components, if appropriately configured,
will automatically include this information in each log entry.
Please note that MDC as implemented by logback-classic assumes that values are placed into the MDC with moderate frequency. Also note that a child thread does not automatically inherit a copy of the mapped diagnostic context of its parent.
The next application named
SimpleMDC
demonstrates this basic principle.
package chapters.mdc; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.slf4j.MDC; import ch.qos.logback.classic.PatternLayout; import ch.qos.logback.core.ConsoleAppender; public class SimpleMDC { static public void main(String[] args) throws Exception { // You can put values in the MDC at any time. Before anything else // we put the first name MDC.put("first", "Dorothy"); [ SNIP ] Logger logger = LoggerFactory.getLogger(SimpleMDC.class); // We now put the last name MDC.put("last", "Parker"); // The most beautiful two words in the English language according // to Dorothy Parker: logger.info("Check enclosed."); logger.debug("The most beautiful two words in English."); MDC.put("first", "Richard"); MDC.put("last", "Nixon"); logger.info("I am not a crook."); logger.info("Attributed to the former US president. 17 Nov 1973."); } [ SNIP ] }
The main method starts by associating the value
Dorothy with the key first in the
MDC
. You can place as many value/key associations in
the MDC
as you wish. Multiple insertions with the
same key will overwrite older values. The code then proceeds to
configure logback.
For the sake of conciseness, we have omitted the code that configures logback with the configuration file simpleMDC.xml. Here is the relevant section from that file.
<appender name="CONSOLE" class="ch.qos.logback.core.ConsoleAppender"> <layout> <Pattern>%X{first} %X{last} - %m%n</Pattern> </layout> </appender>
Note the usage of the %X specifier within the
PatternLayout
conversion pattern. The %X
conversion specifier is employed twice, once for the key named
first and once for the key named last. After
obtaining a logger corresponding to SimpleMDC.class
,
the code associates the value Parker with the key named
last. It then invokes the logger twice with different
messages. The code finishes by setting the MDC
to
different values and issuing several logging requests. Running
SimpleMDC yields:
Dorothy Parker - Check enclosed. Dorothy Parker - The most beautiful two words in English. Richard Nixon - I am not a crook. Richard Nixon - Attributed to the former US president. 17 Nov 1973.
The SimpleMDC
application illustrates how logback
layouts, if configured appropriately, can automatically output
MDC
information. Moreover, the information placed
into the MDC
can be used by multiple logger
invocations.
Advanced Use
Mapped Diagnostic Contexts shine brightest within client server
architectures. Typically, multiple clients will be served by
multiple threads on the server. Although the methods in the
MDC
class are static, the diagnostic context is
managed on a per-thread basis, allowing each server thread to bear
a distinct MDC
stamp. MDC
operations
such as put()
and get()
affect only the
MDC
of the current thread, and the children
of the current thread. The MDC
in other threads
remain unaffected. Given that MDC
information is
managed on a per-thread basis, each thread will have its own copy
of the MDC
. Thus, there is no need for the developer
to worry about thread-safety or synchronization when programming
with the MDC
because it handles these issues safely
and transparently.
The next example is somewhat more advanced. It shows how the
MDC
can be used in a client-server setting. The
server-side implements the NumberCruncher
interface
shown in Example 7.2 below. The NumberCruncher
interface contains a single method named
factor()
. Using RMI technology, the client invokes
the factor()
method of the server application to
retrieve the distinct factors of an integer.
package chapters.mdc;
import java.rmi.Remote;
import java.rmi.RemoteException;
/**
* NumberCruncher factors positive integers.
*/
public interface NumberCruncher extends Remote {
/**
* Factor a positive integer number
and return its
* distinct factor's as an integer array.
* */
int[] factor(int number) throws RemoteException;
}
The NumberCruncherServer
application, listed in Example 7.3 below,
implements the NumberCruncher
interface. Its main method exports
an RMI Registry on the local host that accepts requests on a well-known port.
package chapters.mdc; import java.rmi.RemoteException; import java.rmi.registry.LocateRegistry; import java.rmi.registry.Registry; import java.rmi.server.UnicastRemoteObject; import java.util.Vector; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.slf4j.MDC; import ch.qos.logback.classic.LoggerContext; import ch.qos.logback.classic.joran.JoranConfigurator; import ch.qos.logback.core.joran.spi.JoranException; /** * A simple NumberCruncher implementation that logs its progress when * factoring numbers. The purpose of the whole exercise is to show the * use of mapped diagnostic contexts in order to distinguish the log * output from different client requests. * */ public class NumberCruncherServer extends UnicastRemoteObject implements NumberCruncher { private static final long serialVersionUID = 1L; static Logger logger = LoggerFactory.getLogger(NumberCruncherServer.class); public NumberCruncherServer() throws RemoteException { } public int[] factor(int number) throws RemoteException { // The client's host is an important source of information. try { MDC.put("client", NumberCruncherServer.getClientHost()); } catch (java.rmi.server.ServerNotActiveException e) { logger.warn("Caught unexpected ServerNotActiveException.", e); } // The information contained within the request is another source // of distinctive information. It might reveal the users name, // date of request, request ID etc. In servlet type environments, // useful information is contained in the HttpRequest or in the // HttpSession. MDC.put("number", String.valueOf(number)); logger.info("Beginning to factor."); if (number <= 0) { throw new IllegalArgumentException(number + " is not a positive integer."); } else if (number == 1) { return new int[] { 1 }; } Vector<Integer> factors = new Vector<Integer>(); int n = number; for (int i = 2; (i <= n) && ((i * i) <= number); i++) { // It is bad practice to place log requests within tight loops. // It is done here to show interleaved log output from // different requests. logger.debug("Trying " + i + " as a factor."); if ((n % i) == 0) { logger.info("Found factor " + i); factors.addElement(new Integer(i)); do { n /= i; } while ((n % i) == 0); } // Placing artificial delays in tight loops will also lead to // sub-optimal results. :-) delay(100); } if (n != 1) { logger.info("Found factor " + n); factors.addElement(new Integer(n)); } int len = factors.size(); int[] result = new int[len]; for (int i = 0; i < len; i++) { result[i] = ((Integer) factors.elementAt(i)).intValue(); } // clean up MDC.remove("client"); MDC.remove("number"); return result; } static void usage(String msg) { System.err.println(msg); System.err.println("Usage: java chapters.mdc.NumberCruncherServer configFile\n" + " where configFile is a logback configuration file."); System.exit(1); } public static void delay(int millis) { try { Thread.sleep(millis); } catch (InterruptedException e) { } } public static void main(String[] args) { if (args.length != 1) { usage("Wrong number of arguments."); } String configFile = args[0]; if (configFile.endsWith(".xml")) { try { LoggerContext lc = (LoggerContext) LoggerFactory.getILoggerFactory(); JoranConfigurator configurator = new JoranConfigurator(); configurator.setContext(lc); lc.reset(); configurator.doConfigure(args[0]); } catch (JoranException je) { je.printStackTrace(); } } NumberCruncherServer ncs; try { ncs = new NumberCruncherServer(); logger.info("Creating registry."); Registry registry = LocateRegistry.createRegistry(Registry.REGISTRY_PORT); registry.rebind("Factor", ncs); logger.info("NumberCruncherServer bound and ready."); } catch (Exception e) { logger.error("Could not bind NumberCruncherServer.", e); return; } } }
The implementation of the factor(int number)
method is of particular relevance. It starts by putting the
client's hostname into the MDC
under the key
client. The number to factor, as requested by the client,
is put into the MDC
under the key
number. After computing the distinct factors of the
integer parameter, the result is returned to the client. Before
returning the result however, the values for the client
and number are cleared by calling the
MDC.remove()
method. Normally, a put()
operation should be balanced by the corresponding
remove()
operation. Otherwise, the MDC
will contain stale values for certain keys. We would recommend
that whenever possible, remove()
operations be
performed within finally blocks, ensuring their invocation
regardless of the execution path of the code.
After these theoretical explanations, we are ready to run the number cruncher example. Start the server with the following command:
java chapters.mdc.NumberCruncherServer src/main/java/chapters/mdc/mdc1.xml
The mdc1.xml configuration file is listed below:
Example 7.4: Configuration file (logback-examples/src/main/java/chapters/mdc/mdc1.xml)<configuration> <appender name="CONSOLE" class="ch.qos.logback.core.ConsoleAppender"> <layout> <Pattern>%-4r [%thread] %-5level C:%X{client} N:%X{number} - %msg%n</Pattern> </layout> </appender> <root level="debug"> <appender-ref ref="CONSOLE"/> </root> </configuration>
Note the use of the %X conversion specifier within the Pattern option.
The following command starts an instance of NumberCruncherClient
application:
java chapters.mdc.NumberCruncherClient hostname
where hostname is the host where the
NumberCruncherServer
is running
Executing multiple instances of the client and requesting the server to factor the numbers 129 from the first client and shortly thereafter the number 71 from the second client, the server outputs the following:
70984 [RMI TCP Connection(4)-192.168.1.6] INFO C:orion N:129 - Beginning to factor. 70984 [RMI TCP Connection(4)-192.168.1.6] DEBUG C:orion N:129 - Trying 2 as a factor. 71093 [RMI TCP Connection(4)-192.168.1.6] DEBUG C:orion N:129 - Trying 3 as a factor. 71093 [RMI TCP Connection(4)-192.168.1.6] INFO C:orion N:129 - Found factor 3 71187 [RMI TCP Connection(4)-192.168.1.6] DEBUG C:orion N:129 - Trying 4 as a factor. 71297 [RMI TCP Connection(4)-192.168.1.6] DEBUG C:orion N:129 - Trying 5 as a factor. 71390 [RMI TCP Connection(4)-192.168.1.6] DEBUG C:orion N:129 - Trying 6 as a factor. 71453 [RMI TCP Connection(5)-192.168.1.6] INFO C:orion N:71 - Beginning to factor. 71453 [RMI TCP Connection(5)-192.168.1.6] DEBUG C:orion N:71 - Trying 2 as a factor. 71484 [RMI TCP Connection(4)-192.168.1.6] DEBUG C:orion N:129 - Trying 7 as a factor. 71547 [RMI TCP Connection(5)-192.168.1.6] DEBUG C:orion N:71 - Trying 3 as a factor. 71593 [RMI TCP Connection(4)-192.168.1.6] DEBUG C:orion N:129 - Trying 8 as a factor. 71656 [RMI TCP Connection(5)-192.168.1.6] DEBUG C:orion N:71 - Trying 4 as a factor. 71687 [RMI TCP Connection(4)-192.168.1.6] DEBUG C:orion N:129 - Trying 9 as a factor. 71750 [RMI TCP Connection(5)-192.168.1.6] DEBUG C:orion N:71 - Trying 5 as a factor. 71797 [RMI TCP Connection(4)-192.168.1.6] DEBUG C:orion N:129 - Trying 10 as a factor. 71859 [RMI TCP Connection(5)-192.168.1.6] DEBUG C:orion N:71 - Trying 6 as a factor. 71890 [RMI TCP Connection(4)-192.168.1.6] DEBUG C:orion N:129 - Trying 11 as a factor. 71953 [RMI TCP Connection(5)-192.168.1.6] DEBUG C:orion N:71 - Trying 7 as a factor. 72000 [RMI TCP Connection(4)-192.168.1.6] INFO C:orion N:129 - Found factor 43 72062 [RMI TCP Connection(5)-192.168.1.6] DEBUG C:orion N:71 - Trying 8 as a factor. 72156 [RMI TCP Connection(5)-192.168.1.6] INFO C:orion N:71 - Found factor 71
The clients were run from a machine called orion as can be seen in
the above output. Even if the server processes the requests of clients
near-simultaneously in separate threads, the logging output pertaining
to each client request can be distinguished by studying the output of the
MDC
. Note for example the stamp associated with number,
i.e. the number to factor.
The attentive reader might have observed that the thread name could
also have been used to distinguish each request. The thread name can cause
confusion if the server side technology recycles threads. In that case,
it may be hard to determine the boundaries of each request, that is,
when a given thread finishes servicing a request and when it begins servicing the next.
Because the MDC
is under the control of the application developer,
MDC
stamps do not suffer from this problem.
Automating access to the MDC
As we've seen, the MDC
is very useful when dealing
with multiple clients. In the case of a web application that
manages user authentication, one simple solution could be to set
the user's name in the MDC
and remove it once the
user logs out. Unfortunately, it is not always possible to
achieve reliable results using this technique. Since
MDC
manages data on a per thread basis, a
server that recycles threads might lead to false information
contained in the MDC
.
To allow the information contained in the MDC
to
be correct at all times when a request is processed, a possible
approach would be to store the username at the beginning of the
process, and remove it at the end of said process. A servlet
Filter
comes in handy in this case.
Within the servlet filter's doFilter
method, we
can retrieve the relevant user data through the request (or a
cookie therein), store it the MDC
. Subsequent
processing by other filters and servlets will automatically
benefit from the MDC data that was stored previously. Finally,
when our servlet filter regains control, we have an opportunity to
clean MDC data.
Here is an implementation of such a filter:
Example 7.5: User servlet filter ( logback-examples/src/main/java/chapters/mdc/UserServletFilter.java)package chapters.mdc; import java.io.IOException; import java.security.Principal; import javax.servlet.Filter; import javax.servlet.FilterChain; import javax.servlet.FilterConfig; import javax.servlet.ServletException; import javax.servlet.ServletRequest; import javax.servlet.ServletResponse; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpSession; import org.slf4j.MDC; public class UserServletFilter implements Filter { private final String USER_KEY = "username"; public void destroy() { } public void doFilter(ServletRequest request, ServletResponse response, FilterChain chain) throws IOException, ServletException { boolean successfulRegistration = false; HttpServletRequest req = (HttpServletRequest) request; Principal principal = req.getUserPrincipal(); // Please note that we could have also used a cookie to // retrieve the user name if (principal != null) { String username = principal.getName(); successfulRegistration = registerUsername(username); } try { chain.doFilter(request, response); } finally { if (successfulRegistration) { MDC.remove(USER_KEY); } } } public void init(FilterConfig arg0) throws ServletException { } /** * Register the user in the MDC under USER_KEY. * * @param username * @return true id the user can be successfully registered */ private boolean registerUsername(String username) { if (username != null && username.trim().length() > 0) { MDC.put(USER_KEY, username); return true; } return false; } }
When the filter's doFilter()
method is called, it
first looks for a java.security.Principal
object in the
request. This object contains the name of the currently
authenticated user. If a user information is found, it is registered
in the MDC
.
Once the filter chain has completed, the filter removes the user
information from the MDC
.
The approach we just outlined sets MDC data only for the duration of the request and only for the thread processing it. Other threads are unaffected. Furthermore, any given thread will contain correct MDC data at any point in time.
MDC And Managed Threads
A copy of the mapped diagnostic context can not always be
inherited by worker threads from the initiating thread. This is the
case when java.util.concurrent.Executors
is used for
thread management. For instance, newCachedThreadPool
method creates a ThreadPoolExecutor
and like other
thread pooling code, it has intricate thread creation logic.
In such cases, it is recommended that
MDC.getCopyOfContextMap()
is invoked on the original
(master) thread before submitting a task to the executor. When the
task runs, as its first action, it should invoke
MDC.setContextMap()
to associate the stored copy
of the original MDC values with the new Executor
managed thread.
MDCInsertingServletFilter
Within web applications, it often proves helpful to know the
hostname, request uri and user-agent associated with a given HTTP
request. MDCInsertingServletFilter
inserts such data into the MDC under the following keys.
MDC key | MDC value |
---|---|
req.remoteHost |
as returned by the getRemoteHost() method |
req.xForwardedFor |
value of the "X-Forwarded-For" header |
req.method |
as returned by getMethod() method |
req.requestURI |
as returned by getRequestURI() method |
req.requestURL |
as returned by getRequestURL() method |
req.queryString |
as returned by getQueryString() method |
req.userAgent |
value of the "User-Agent" header |
To install MDCInsertingServletFilter
add the
following lines to your web-application's web.xml file
<filter> <filter-name>MDCInsertingServletFilter</filter-name> <filter-class> ch.qos.logback.classic.helpers.MDCInsertingServletFilter </filter-class> </filter> <filter-mapping> <filter-name>MDCInsertingServletFilter</filter-name> <url-pattern>/*</url-pattern> </filter-mapping>
If your web-app has multiple filters, make sure that
MDCInsertingServletFilter
is declared before other
filters. For example, assuming the main processing in your
web-app is done in filter 'F', the MDC values set by
MDCInsertingServletFilter
will not be seen by the code
invoked by 'F' if MDCInsertingServletFilter
comes after
'F'.
Once the filter is installed, values corresponding to each MDC
key will be output by the %X conversion word according to
the key passes as first option. For example, to print the remote
host followed by the request URI on one line, the date followed by
the message on the next, you would set PatternLayout
's
pattern to:
%X{req.remoteHost} %X{req.requestURI}%n%d - %m%n