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Figure 2-3. In v3 it s possible to have several InfoWindow objects open at the same time, something that was impossible in v2. In some ways, InfoWindow objects were easier to use in v2, but in v3 they are more powerful and conform better to how the other overlay objects work. Here s an example of how to tie an InfoWindow to a marker and open it on the marker s click event. In v2 you can just call the openInfoWindowHtml() method of the Marker object. In v3 you need to first create an InfoWindow object and then open it using its open() method.

All the entity state that was there in the managed version is still available and ready to use in the detached version of the entity In the presence of lazy-loading attributes, care must be taken to ensure that all the information you need to access offline is available When possible, try to define the set of detached.

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Obfuscating is vitally important for J2ME applications not only because it makes reverse engineering more difficult but also because the application size is decreased in some cases quite drastically. Obfuscators usually strip away any classes, methods, and fields that are not used by the application. In a further step, they rename all remaining classes. Because of this functionality, you need to define entry points that are not scrambled. J2ME Polish automatically adds all MIDlets that are defined with the <midlet> element to the list of entry points. With the nested <keep> element, you can define additional classes that must be kept, even though they are not used directly. This is the case for all classes you load with the Class.forName( String ) mechanism, for example. Most obfuscators also accept additional parameters with nested <parameter> elements. Listing 7-37 demonstrates how to use the ProGuard obfuscator, in which the bytecode optimization of ProGuard is deactivated. Listing 7-37. Using the ProGuard Obfuscator <j2mepolish> <info license="GPL" name="Roadrunner" vendorName="A reader." version="0.0.1" jarName="${polish.vendor}-${polish.name}-roadrunner.jar" /> <deviceRequirements> <requirement name="Identifier" value="Nokia/Series60" />

The JOIN operator works with both collection-valued association path expressions and single-valued association path expressions Consider the following example: SELECT d FROM Employee e JOIN edepartment d This query defines a join from Employee to Department across the department relationship This is semantically equivalent to using a path expression in the SELECT clause to obtain the department for the employee For example, the following query should result in similar if not identical SQL representations involving a join between the Employee and Department entities: SELECT edepartment FROM Employee e The primary use case for using a single-valued association path expression in the FROM clause (rather than just using a path expression in the SELECT clause) is for outer joins Path navigation is equivalent to the inner join of all associated entities traversed in the path expression.

</deviceRequirements> <build> <midlet class="com.apress.roadrunner.Roadrunner" /> <obfuscator name="ProGuard" > <keep class="com.apress.roadrunner.DynamicClass" /> <parameter name="optimize" value="false" /> </obfuscator> </build> <emulator /> </j2mepolish>

// Add a click event to a marker that will open an InfoWindow GEvent.addListener(marker, 'click', function() { marker.openInfoWindowHtml('Some text'); });

The possibility of implicit inner joins resulting from path expressions is something that developers should be aware of Consider the following example that returns the distinct departments based in California that are participating in the Release1 project: SELECT DISTINCT edepartment FROM Project p JOIN pemployees e WHERE pname = 'Release1' AND eaddressstate = 'CA' There are actually four logical joins here, not two The translator will treat the query as if it had been written with explicit joins between the various entities We will cover the syntax for multiple joins later in the Multiple Joins section, but for now consider the following query that is equivalent to the previous query, reading the join conditions from left to right: SELECT DISTINCT d FROM Project p JOIN pemployees e JOIN edepartment d JOIN eaddress a WHERE pname = 'Release1' AND a.

state = 'CA' We say four logical joins because the actual physical mapping might involve more tables In this case, the Employee and Project entities are related via a many-to-many association using a join table Therefore the actual SQL for such a query uses five tables, not four: SELECT DISTINCT did, dname FROM project p, emp_projects ep, emp e, dept d, address a WHERE pid = epproject_id AND epemp_id = eid AND edept_id = did AND eaddress_id = aid AND pname = 'Release1' AND astate = 'CA' The first form of the query is certainly easier to read and understand However, during performance tuning, it might be helpful to understand how many joins can occur as the result of seemingly trivial path expressions..

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