A few years back, Adam C. was brought in to help with some performance problems that appeared while load testing a VXML Platform. The project was already well behind and they couldn't figure out why the system kept falling over under a very slight load. To make matters worse, Adam had absolutely no prior knowledge of the system or its software other than Wikipedia’s definition of what VXML is.

A veteran to these sorts of situations, Adam grabbed a coffee, a donut, and then started picking through the application logs to get a feel for what the system is doing and where something might be going wrong.

Looking in /var/log/messages, he was pleased to find with several days’ worth of messages, but over and over again, the same entry popped up:

Exception encountered writing error log. 

"Seriously, who logs an error that they can't log an error? ...and is that even possible?" Adam wondered aloud after seeing the same senseless message for what he figured to be the hundredth time.

Frustrated, and hoping to learn what ludicrous conditions might precipitate a log to contain such a message, Adam dug into the source and hit paydirt in the form of this wonderful nugget of code:

public void error(String logID, String errStr) {
  StringBuffer errLogCmd = new StringBuffer("/usr/bin/logger -p ");
  try {
    Runtime rt = Runtime.getRuntime();
    errLogCmd.append(" -t ");
    errLogCmd.append(" ");
  } catch (Exception ele) {
    System.out.println("Exception encountered writing error log." + ele.getMessage());
As he mentally parsed his way through the code, Adam could feel his breakfast tickling up from the back of his throat in reaction to the number of WTF’s he found himself facing.

He couldn’t decide what about the implementation was worse - forking off an external process to log something, the fact that log4j could have been used to send stuff to syslog (which the project used elsewhere), or that since the program's output was already piped to /usr/bin/log, just doing a System.out.println() would have been equivalent to this code.

As it turned out, this wasn’t the root cause behind the performance problems, but needless to say, that code got junked rather quickly and he moved on to looking for the next performance bottleneck.

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