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1. Consider the file directory illustration. The problem to be solved is almost the same as the family tree problem. Realize the data from Figure 9-2 in the form of the initializer given for the family tree. Then rework the client program to get a printout of various views of the hierarchy. You should be able to use the Node and Tree classes as they are. 2. Create a new enumerator for the file directory that will traverse it in postorder to determine the total size of each directory as a sum of its parts. Add this to the Tree class and test it out. 3. Write a simple program that throws two dice. A die can have values from 1 to 6. Encapsulate this information and the enumerator for generating a value at random in a class called Dice. In the client program, create an iterator that will throw two dice together and display their values.

only to load, query, or save data in the chosen representation, which is the EntityMode.MAP in the previous example. Note that you can t link a map with a POJO instance; the seller reference has to be a HashMap, not an instance of UserPojo. We mentioned that another good use case for logical entity names is the mapping of one POJO to several tables, so let s look at that. Mapping a class several times Imagine that you have several tables with some columns in common. For example, you could have ITEM_AUCTION and ITEM_SALE tables. Usually you map each table to an entity persistent class, ItemAuction and ItemSale respectively. With the help of entity names, you can save work and implement a single persistent class. To map both tables to a single persistent class, use different entity names (and usually different property mappings):

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It has two other settings: SHARED (more than one database can use the same password file) and EXCLUSIVE (only one database uses a given password file) We ll set ours to EXCLUSIVE, as we want to use it for only one database (ie, the normal use): sys%ORA11GR2> alter system set remote_login_passwordfile=exclusive scope=spfile; System altered This setting can t be changed dynamically while the instance is up and running, so we ll have to shut down and this will take effect upon the next restart.

wormhole pattern 257 cflow pointcut 75, 383 comparison with cflowbelow pointcut 76 depiction using sequence diagram 76 example of 75, 306 transaction management, example of 371 use in policy enforcement 192 use in tracing aspects 159 wormhole pattern, use in 404 cflowbelow pointcut 75 comparison with cflow pointcut 76 depiction using sequence diagram 76 example of 75, 93 top-level operation, capturing using 370 usage of 77 use in tracing aspects 159 characteristics-based crosscutting embedding pointcut in class 272 enumerating join points 272 participant pattern, and 270 checked exception 136, 260 advice, restriction on 260 261, 264 compiler errors 263 current method 264 dealing with, example of 262 exception introduction pattern 260 restriction, and overridden methods 261 underlying logic, dealing with 261 class initialization join point 48 comparison with object initialization 49 pointcut syntax 74 static blocks 49 CLASSPATH modification for AspectJ 439 -classpath ajc option 440 code review EJB programming restrictions 192

Again, click the Toolbox, and click the Database Functoids tab. On the map surface, above the Error Return functoid, drag and drop the Value Extractor functoid for each extracted value from the return recordset. For example, if you are returning five values in the recordset, you would need five Value Extractor functoids. For each Value Extractor functoid, connect the left side of the functoid to the right side of the Database Lookup functoid. Configure the properties of each Value Extractor functoid to retrieve the appropriate value by specifying the column name of the extracted value. For example, if the value returned resides in a column named FirstName, you would create a constant in the Value Extractor functoid named FirstName. The Value Extractor functoid s Configure Functoid Inputs dialog box should look similar to Figure 3 31.

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