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    1. COWhile much cleaner than the other alternative proposed, this has the downside of incurring the cost of getting stack traces for all threads. If you will be using those stack traces anyway, this is clearly superior. If not, then this may be significantly slower for no gain other than clean code.
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    2. CO@Eddie Is that an assumption from common sense, or did you do experiments? "significantly slower" you say; how much slower? Is it worth it? I question any attempt to make code worse for the sake of efficiency. If you have an efficiency requirement _and_ an infrastructure to measure efficiency quantitatively, then I'm ok with people making code worse, because they seem to know what they're doing. See [the root of all evil](http://en.wikipedia.org/wiki/Program_optimization#When_to_optimize) according to Donald Knuth.
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    3. COI haven't timed these specific alternatives, but I've worked with other Java means of gathering stack traces vs just a list of threads. The performance impact seems to depend very strongly on which JVM you are using (JRockit vs Sun JVM for example). It's worth measuring in your specific instance. Whether or not it will affect you depends on your JVM choice and on how many threads you have. I found that getting all stack traces via ThreadMXBean.dumpAllThreads for about 250 threads to take 150 - 200 msec while getting just the list of threads (without traces) to not be measurable (0 msec).
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A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

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