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Java Logging Frameworks
      Demystified



           By
       Jumping Bean
         21 May 2012
Who Am I?

    Mark Clarke – Java Developer

    Working for Jumping Bean, an open source
    solutions integration company

    Working with Java & open source
    technologies since 2001

    Co-founder of Jozi JUG
Jozi JUG
Jozi JUG

    Meet once a month in Johannesburg,

    Talk

    Beer

    Pizza

    All FREE!

    Where to find us?
           −   Meetup
           −   Facebook
           −   Web Site
Why Log?

    Needed during development to identify errors,

    Needed during production for troubleshooting,
Requirements for a Logging
            Framework

    Logging should be easy for the developer to
    use,

    Logging should be flexible,

    Logging setup/config should be easy,
    especially for system administrators

    Configuration should be done at runtime,

    Framework should free you up to concentrate
    on the business/application logic
Reality of Logging Framework

    BUT
      −    Logging frameworks are difficult to
           understand,
      −    Logging frameworks are difficult to configure
      −    Lots of heat but not much light when
           searching the Interwebs

    Why?
      −    Competing frameworks,
             
                 Part of Java community culture
      −    Over engineered?
Why So Complex?

    Why are logging frameworks so complex?
       −   Filtering of log messages to extract
           messages that meet system admin defined
           criteria,
       −   Writing of a single log message to multiple
           destination,
       −   Formatting log messages for different log
           back-ends such as text files, databases,
           email etc.
       −   Ensuring logging has minimal impact on
           performance,
Why So Complex?
−   Integrating 3r party libraries with their own
    logging requirements,
−   Allowing for the runtime selection of logging
    frameworks,
−   Allowing for runtime configuration of the
    selected logging framework,
−   Applications are distributed
Well Known Java Logging
             Frameworks

    Log4j - The progenitor of all logging
    frameworks

    java.util.logging- The usurper. Attempted to
    add log4j to the Java JDK & improve on it.

    Jakarta Commons Logging - The failed
    abstractor. attempted to allow the underlying
    logging framework to be determined by the
    system administrator deploying the application
Well Known Java Logging
             Frameworks

    Simple Logging Façade for Java           -The
    great abstractor. Some would call slf4j the
    saviour of Java logging. It is largely successful
    at abstracting away the underlying logging
    framework, allowing for it to be change at
    runtime with relative ease.

    Logback -The return of the jedi - This is the
    successor to the great progenitor log4j. Looks
    promising.
Other Java Logging Frameworks

    Even more logging frameworks, over 20!


    http://java-source.net/open-source/logging
What's missing?



  A conceptual model
Conceptual Model

    Logging Entities

    Interaction between entities

    Each framework has variations on the model
Conceptual Model

    Logging Entities

    Interaction between entities
Logging Entities
Entity                         Description
Log Manager                    Access point to logging system
Log Message/Log Entry          The log message
Severity/Level                 A ranking of the log messages, also used
                               as a filter criteria
Logger                         A processing unit for the log message
Appenders/Handlers             A target to send the log message to
Filters                        Criteria used to filter message
Formatters/Renderers/Layouts   Formatting of the log message for its
                               handler/appender
Log Manager

    Global object to access logging system,

    Used to create or retrieve
        −   Loggers
        −   Handlers
        −   Filters
        −   Appenders
        −   etc
Log Message

    The application message you wish to log.

    Can do things like:
        −   Replace parameters at logging time,
        −   Convert objects into string representations
            etc.

    Log messages have a severity attached to
    them

    Log messages are sent to a single Logger
Severity/Level

    Classification of the Log Message.

    Organised in a hierarchy of severity

    Lower level include higher level messages
Logger

    A logger is conceptually like a message queue

    A logger “processes” a log message

    Loggers are identified by string names

    Loggers are in a hierarchy determined
    identifier.

    Logger hierarchy set by “.” in logger identifier
Logger

    Every Logger has a parent,

    Root Logger is top of the logger hierarchy and
    always exists

    Loggers are source of complexity as Log
    messages “bubble up” the hierarchy

    Loggers can have severity levels to filter
    incoming log messages
Appenders/Handlers

    Represents a destination for a log method
    once it has been accepted by a Logger,

    Loggers can have more than one appender

    An appender can belong to more than one
    logger

    Appenders can be anything
       −   Database
       −   Text file
       −   Console
       −   Email
Filters

    A filter is a criteria against which incoming log
    messages are compared to be processed or
    discarded

    Filters can be on Loggers in some cases

    Filters can be on appenders,

    A filter can be attached to more than one
    appender/logger
Formatters/Layouts

    These entities format a log message for their
    assigned appenders,

    Add information to the log message like
    timestamp, class information etc

    Formatters/Layouts usually depend on the
    type of the appender
Sequence Diagram
How Log Messages Bubble Up

    Log messages received by a Logger and
    passed up the Logger hierarchy

    The exact flow varies from framework to
    framework

    Source of much confusion
       −   Unwanted log messages in appenders,
Configuration

    Configuration can be done at compile time in
    code

    At runtime with configuration files

    At runtime via JMX
Meta Loggers

    Frameworks to abstract away Logging
    frameworks,

    Allow for run time changing of logging
    frameworks,

    Apache Commons Logging – not used due to
    architectural issues,

    Sl4j – Best meta logging framework
Meta Loggers

    SL4J allows for code to be written without
    concern for underlying framework
        −   Change deployed jars to target different
            frameworks

    SL4J – allows for bridging of disparate logging
    frameworks in 3rd party libraries used in your
    application
Java Logging Frameworks




         The End

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Java logging

  • 1. Java Logging Frameworks Demystified By Jumping Bean 21 May 2012
  • 2. Who Am I?  Mark Clarke – Java Developer  Working for Jumping Bean, an open source solutions integration company  Working with Java & open source technologies since 2001  Co-founder of Jozi JUG
  • 4. Jozi JUG  Meet once a month in Johannesburg,  Talk  Beer  Pizza  All FREE!  Where to find us? − Meetup − Facebook − Web Site
  • 5. Why Log?  Needed during development to identify errors,  Needed during production for troubleshooting,
  • 6. Requirements for a Logging Framework  Logging should be easy for the developer to use,  Logging should be flexible,  Logging setup/config should be easy, especially for system administrators  Configuration should be done at runtime,  Framework should free you up to concentrate on the business/application logic
  • 7. Reality of Logging Framework  BUT − Logging frameworks are difficult to understand, − Logging frameworks are difficult to configure − Lots of heat but not much light when searching the Interwebs  Why? − Competing frameworks,  Part of Java community culture − Over engineered?
  • 8. Why So Complex?  Why are logging frameworks so complex? − Filtering of log messages to extract messages that meet system admin defined criteria, − Writing of a single log message to multiple destination, − Formatting log messages for different log back-ends such as text files, databases, email etc. − Ensuring logging has minimal impact on performance,
  • 9. Why So Complex? − Integrating 3r party libraries with their own logging requirements, − Allowing for the runtime selection of logging frameworks, − Allowing for runtime configuration of the selected logging framework, − Applications are distributed
  • 10. Well Known Java Logging Frameworks  Log4j - The progenitor of all logging frameworks  java.util.logging- The usurper. Attempted to add log4j to the Java JDK & improve on it.  Jakarta Commons Logging - The failed abstractor. attempted to allow the underlying logging framework to be determined by the system administrator deploying the application
  • 11. Well Known Java Logging Frameworks  Simple Logging Façade for Java -The great abstractor. Some would call slf4j the saviour of Java logging. It is largely successful at abstracting away the underlying logging framework, allowing for it to be change at runtime with relative ease.  Logback -The return of the jedi - This is the successor to the great progenitor log4j. Looks promising.
  • 12. Other Java Logging Frameworks  Even more logging frameworks, over 20!  http://java-source.net/open-source/logging
  • 13. What's missing? A conceptual model
  • 14. Conceptual Model  Logging Entities  Interaction between entities  Each framework has variations on the model
  • 15. Conceptual Model  Logging Entities  Interaction between entities
  • 16. Logging Entities Entity Description Log Manager Access point to logging system Log Message/Log Entry The log message Severity/Level A ranking of the log messages, also used as a filter criteria Logger A processing unit for the log message Appenders/Handlers A target to send the log message to Filters Criteria used to filter message Formatters/Renderers/Layouts Formatting of the log message for its handler/appender
  • 17. Log Manager  Global object to access logging system,  Used to create or retrieve − Loggers − Handlers − Filters − Appenders − etc
  • 18. Log Message  The application message you wish to log.  Can do things like: − Replace parameters at logging time, − Convert objects into string representations etc.  Log messages have a severity attached to them  Log messages are sent to a single Logger
  • 19. Severity/Level  Classification of the Log Message.  Organised in a hierarchy of severity  Lower level include higher level messages
  • 20. Logger  A logger is conceptually like a message queue  A logger “processes” a log message  Loggers are identified by string names  Loggers are in a hierarchy determined identifier.  Logger hierarchy set by “.” in logger identifier
  • 21. Logger  Every Logger has a parent,  Root Logger is top of the logger hierarchy and always exists  Loggers are source of complexity as Log messages “bubble up” the hierarchy  Loggers can have severity levels to filter incoming log messages
  • 22. Appenders/Handlers  Represents a destination for a log method once it has been accepted by a Logger,  Loggers can have more than one appender  An appender can belong to more than one logger  Appenders can be anything − Database − Text file − Console − Email
  • 23. Filters  A filter is a criteria against which incoming log messages are compared to be processed or discarded  Filters can be on Loggers in some cases  Filters can be on appenders,  A filter can be attached to more than one appender/logger
  • 24. Formatters/Layouts  These entities format a log message for their assigned appenders,  Add information to the log message like timestamp, class information etc  Formatters/Layouts usually depend on the type of the appender
  • 26. How Log Messages Bubble Up  Log messages received by a Logger and passed up the Logger hierarchy  The exact flow varies from framework to framework  Source of much confusion − Unwanted log messages in appenders,
  • 27.
  • 28.
  • 29. Configuration  Configuration can be done at compile time in code  At runtime with configuration files  At runtime via JMX
  • 30. Meta Loggers  Frameworks to abstract away Logging frameworks,  Allow for run time changing of logging frameworks,  Apache Commons Logging – not used due to architectural issues,  Sl4j – Best meta logging framework
  • 31. Meta Loggers  SL4J allows for code to be written without concern for underlying framework − Change deployed jars to target different frameworks  SL4J – allows for bridging of disparate logging frameworks in 3rd party libraries used in your application