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Actually, Timer + TimerTask can deal with this pretty cleanly. If you schedule something with <a href="http://download.oracle.com/javase/1.4.2/docs/api/java/util/Timer.html#scheduleAtFixedRate%28java.util.TimerTask,%20java.util.Date,%20long%29" rel="nofollow">Timer.scheduleAtFixedRate()</a> You will notice that the docs say that it will attempt to "make up" late events to maintain the long-term period of execution. However, this can be overcome by using <a href="http://download.oracle.com/javase/1.4.2/docs/api/java/util/TimerTask.html#scheduledExecutionTime%28%29" rel="nofollow">TimerTask.scheduledExecutionTime()</a>. The example therein lets you figure out if the task is too tardy to run, and you can just return instead of doing anything. This will, in effect, "clear the queue" of TimerTask. Of note: TimerTask uses a single thread to execute, so it won't spawn two copies of your task side-by-side. On the side note part, you don't have to process all 10k emails in the queue in a single run. I would suggest processing for a fixed amount of time using TimerTask.scheduledExecutionTime() to figure out how long you have, then returning. That keeps your process more limber, cleans up the stack between runs, and if you are doing aggregates, ensures that you don't have to rebuild too much data if, for example, the server is restarted in the middle of the task. But this recommendation is based on generalities, since I don't know what you're doing in the task :)
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