Difference between AsyncLogger and AsyncAppender in Log4j2

True, they achieve pretty much the same purpose, so I can understand your question: “why have both options”? For background, the AsyncAppender has been in Log4j2 from the beginning, where Async Loggers were added in March last year (2014). That’s how the current situation came to be. The log4j team is not seriously considering removing … Read more

Getting “ArrayIndexOutOfBoundsException: null” with NO stack trace

String concatenated with a null reference might get you such a message: Object obj = null; throw new ArrayIndexOutOfBoundsException(“” + obj); If you’re using an Oracle JVM you may want to add -XX:-OmitStackTraceInFastThrow as an additional parameter to see if it helps. For some basic exceptions, the JVM reuses the same exception instance after a … Read more

how to set logging level from command line

The basicConfig function can take a string argument for level, and it will check its validity for you, so the code can be much simpler than BarryPye’s answer. import argparse import logging parser = argparse.ArgumentParser() parser.add_argument( ‘-log’, ‘–loglevel’, default=”warning”, help=’Provide logging level. Example –loglevel debug, default=warning’ ) args = parser.parse_args() logging.basicConfig( level=args.loglevel.upper() ) logging.info( ‘Logging … Read more

Modifying logging message format based on message logging level in Python3

With a bit of digging, I was able to modify the Python 2 solution to work with Python 3. In Python2, it was necessary to temporarily overwrite Formatter._fmt. In Python3, support for multiple format string types requires us to temporarily overwrite Formatter._style._fmt instead. # Custom formatter class MyFormatter(logging.Formatter): err_fmt = “ERROR: %(msg)s” dbg_fmt = “DBG: … Read more

Python3 & PyCharm – Debug logging levels in run/debug

The problem has nothing to do with PyCharm, but with how logging configuration works. If you try to write the code you have shown in a normal python interactive session you get the same output: >>> import logging >>> logger = logging.getLogger(‘tipper’) >>> logger.setLevel(logging.DEBUG) >>> logger.debug(‘debug message’) >>> logger.info(‘info message’) >>> logger.warn(‘warn message’) warn message … Read more

Should a Log4J logger be declared as transient?

How about using a static logger? Or do you need a different logger reference for each instance of the class? Static fields are not serialized by default; you can explicitly declare fields to serialize with a private, static, final array of ObjectStreamField named serialPersistentFields. See Oracle documentation Added content: As you use getLogger(getClass()), you will … Read more

slf4j logging with jdk – how to enable debug?

Why do you think it does not log DEBUG messages? If you mean that your log.debug(String) logging calls do not end up in java.util.logging log files, then I guess you have to configure the logging.properties configuration file to allow log messages at FINE level. If you do not want to mess with the global %JRE_HOME%/lib/logging.properties, … Read more

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