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Figure 8-3. The Data view shows the elements in an XML document and allows you to navigate and modify them. When a complex type element is enclosed inside another complex type (such as the <User> inside the <Friends> root element, and <Attended> inside <User>), you will be presented with a navigation link in the Data pane that lets you get inside the contained elements to add child ones. Click the plus sign to show the available children. Click the link, and it will expand to list the child elements. In Figure 8-3, we have navigated to the first User element. Notice that the UI keeps track of the parent element of the current one and shows it above the table. In Figure 8-3, you see the PlaceID attribute of the Friends parent. The arrow icon in the top-right corner of the window allows you to navigate back to the parent element. In order for elements to be put in the right place in the XML file, you must follow the links through the elements until you get to the level where the new element must be placed. This is important, because the tool doesn t prevent you from selecting the User or Attended tables directly (through the list in the Data Tables panel) and creating elements right there. If you do that, the resulting elements are placed under a new root <Friends> element (not under the existing <Friends> element). The result would contain two nested <Friends> elements, and that would be invalid according to our schema.

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Try It Out: Add an Element in the Data View Let s see how the Data view works in practice. You ll use it to create a new <Attended> element in your upload.xml file. 1. Click the Friends User link in the Data pane for the Friends data table (as shown in Figure 8-3). 2. Try adding a new user directly in the grid. It will look something like Figure 8-4.

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Notice how line 2 shows a cardinality of 2,000,000. In 8i and 9i, this line reports a cardinality of 125,000, which means they should show a total cardinality of 250,000 in line 0 but both versions then show a total cardinality of 2,125,000. The problem with the final cardinality is that it is clearly wrong. In fact, if you examine the 10053 trace, you find that at its very first step the optimizer got the cardinality right (at 4,450,000) and then went through a long-winded process to get to the wrong answer. (If you put the /*+ no_expand */ hint into this query, Oracle will do a single join, and the execution plan will show the correct cardinality but the join will be a horrendous nested loop operation.)

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Figure 8-4. Adding a new user in the Data view 3. Switch back to the XML view to see the new data that you ve generated: < xml version="1.0" encoding="utf-8" > <Friends xmlns="http://www.apress.com/schemas/friendsreunion" PlaceID="C95FE0A8-D24F-43cf-99CD-AA267BEFB21C"> <User ID="6F724ACE-4230-42a1-9EE2-EA18C5A251B5"> ...etc... </User> <User ID="A8DAF7E7-E736-4d54-8797-BB6BA9E07639"> <Login>acarvallo</Login> <Password>any</Password> <FirstName>Analia</FirstName> <LastName>Carvallo</LastName> <PhoneNumber>555-205-9999</PhoneNumber> <Address>Dr. Melo 2836</Address> <Email>any@clariusconsulting.net</Email> </User> </Friends> Notice that because you navigated inside the <Friends> element to the desired child table, the elements have been added inside the appropriate parent element.

The main difference between parameters and the data source is that parameters are single-named values used inside report expressions for calculations or display, while the data source represents tabular data made of virtual rows and columns that the engine uses for iteration during the report-filling process JasperReports can make use of any application data because the JRDataSource interface is very simple and easy to implement It only has two methods: The next() method, which moves the record pointer to the next record in the virtual tabular data The getFieldValue() method, which retrieves the value for each column in the current virtual record of the data source The library ships with several implementations for the JRDataSource interface that cover the most commonly used sources for filling reports using Java, such as collections or arrays of JavaBeans, XML data, Swing table models, or JDBC result sets..

There are cases where you may want to use hints to force the optimizer into using a particular mechanism for a join so that it calculates the correct cardinality. There are fairly frequent reports on the various Oracle forums of examples of SQL where a feature (or enhancement) needs to be disabled by a hint because the feature is not appropriate for every case.

Note The Data view (tables-and-rows) approach is suitable for most XML files, but the IDE does not

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