How long does something like this typically take to resolve? ... and does it
mean going to a version greater than 1.2.7?
I apologize for my newness to this process.

We're intended to use the JDBC appender and this could obviously be
problematic.

Mike




-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]]
Sent: Wednesday, February 12, 2003 9:59 AM
To: [EMAIL PROTECTED]
Subject: DO NOT REPLY [Bug 16998] New: - JDBCAppender leaks memory


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http://nagoya.apache.org/bugzilla/show_bug.cgi?id=16998

JDBCAppender leaks memory

           Summary: JDBCAppender leaks memory
           Product: Log4j
           Version: 1.2
          Platform: Other
        OS/Version: Other
            Status: NEW
          Severity: Normal
          Priority: Other
         Component: Appender
        AssignedTo: [EMAIL PROTECTED]
        ReportedBy: [EMAIL PROTECTED]


The class org.apache.log4j.jdbc.JDBCAppender in Log4j 1.2.7 (and probably 
earlier too) leaks memory. In the method flushBuffer() values are added to
the 
ArrayList removes (removes.add(logEvent)), but this ArrayList is never
cleared 
or values removed. After some time this will end up with an
OutOfMemoryError.
In my example of flushBuffer() below there will be no memory leak.

Besides this we have some ideas about improving performance for user threads
by adding a thread that handles the database writing.

  public void append(LoggingEvent event) {
    buffer.add(event);
    if (buffer.size() >= bufferSize)
      logThread.wakeup();
  }
  public synchronized void flushBuffer() {
    LoggingEvent logEvent = null;
    while (buffer.size() >0) {
      try {
        logEvent = (LoggingEvent)buffer.remove(0);
      } catch(Exception ignore){
        break;
      }
      try {
        String sql = getLogStatement(logEvent);
        execute(sql);
      } catch (SQLException sqle) {
        // Unable to store LogEvent i database, put it back in buffer.
        if (logEvent != null)
          buffer.add(logEvent); // I'm not sure this is a good idea

        errorHandler.error("Failed to excute sql", sqle, 
ErrorCode.FLUSH_FAILURE);
      }
    }
  }

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