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Of course, looking at the first line in the preceding list, we know that 20021112 is meant to be just 14 days after 20021028, but Oracle thinks there are 84 days (numbers) that need to share the 14 rows from our original table The arithmetic for our query falls completely into bucket 72, so the optimizer uses the standard formula for selectivity, but using the endpoint values from the bucket We have a between clause, which means we have to allow for a correction factor at both ends of the range..

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By default, JasperReports uses multiple threads to render subreports There is a separate thread for the master report and one thread for each subreport element found in the report template hierarchy Each of these threads deals with the filling of its associated report template, which is either a master report or an embedded subreport Even though multiple threads are involved when subreports are present, those threads do not actually run simultaneously; rather, they pass the control from one another at specific moments, usually when page breaks occur At any one moment, there is only one report or subreport-filling thread in execution, the others being in wait state Using multiple threads was the easiest way to add subreporting functionality in JasperReports It allowed the reuse of the existing report-filling logic However, while initially easy to implement, the solution proved to have some drawbacks due to the heavy use of threads.

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Try It Out: Display Information About Fellow Users Using Data Binding Eventually, the page you re about to create will arrive as a result of navigation from Newsaspx, in the course of which the RequestID will be passed as a query string For now, while testing this example, you ll assemble the string, but don t let that put you off we ll deal with Newsaspx later 1 Add a new web form called ViewUseraspx to the project, adding the link to the iestylecss stylesheet (you can drag-and-drop the file to the design surface as usual), and changing the code-behind page to inherit from the FriendsBase class 2 Add a style rule called TableLines to the stylesheet This will help to make the HTML tables look consistent across the site: .

Note When you start creating histograms, it is no longer guaranteed that density = 1 / num_distinct,

(although it is still true in this test case, where we have no popular values and don t have a frequency histogram).

TableLines { border-bottom: #c7ccdc 1px solid; border-left: #c7ccdc 1px solid; border-right: #c7ccdc 1px solid; border-top: #c7ccdc 1px solid; padding: 5px 5px 5px 5px; }.

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One of the most important limitations was that J2EE containers discourage any use of threads Also, some operating systems manage threads poorly, which resulted in decreased performance and heavy memory usage There was no alternate solution to this for a long time, but then one was found in a concept called Java continuations For those not familiar with continuations, I ll quote Paul Graham s On Lisp: A continuation is a program frozen in action: a single functional object containing the state of a computationWhen the object is evaluated, the stored computation is restarted where it left off In solving certain types of problems it can be a great help to be able to save the state of a program and restart it later In multiprocessing, for example, a continuation conveniently represents a suspended process In nondeterministic search programs, a continuation can represent a node in the search tree.

In the past, we have used 1 / num_distinct for the correction factor and not worried about whether we should perhaps use the density. In most cases, it is actually the density that needs to be used, so our formula becomes the following: selectivity = ('required range' / 'total range of bucket' ) + 2 * density = (20030105 - 20021230) / (20030111 - 20021227) + 2 * 0.000547345 = 8875 / 8884 + 0.00109469 = 1.00008 But this is the selectivity that has to be applied to the number of rows in the buckets involved not to the entire table and there are 1,827 / 120 = 15 rows per bucket round(15 * 1.00008) = 15, as required. You will notice that every single value in the table appears exactly the same number of times. There are no values with very large numbers of occurrences. According to the traditional rules of thumb (small number of popular values, etc.) this data set does not need a histogram. But as you can see, a histogram makes an enormous difference to the optimizer.

Notice that we re using the abbreviated syntax for padding, which contains the values for all four sides in a single value.

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