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Fixing your code to never call a listener with a lock might not be enough. Let s take as an example the NetBeans FileSystem library. As has already been noted a few times, NetBeans uses the FileObject abstraction to access files instead of directly using java.io.File. The advantage is that FileObject supports listeners. So, code in NetBeans can observe changes to files and adapt its views to reflect their state. Listeners are notified synchronously. This is an advantage that simultaneously has negative side effects because it s a huge source of deadlocks. Initially, our implementation of the library was buggy. Our implementation called back to the listeners while holding our own locks. This continually caused problems that we needed to fix. However, to our surprise, it wasn t enough to fix the code of the FileSystem library to eliminate deadlocks. The problem is that whoever calls the FileSystem API to write or remove a resource can trigger its listeners. Because listeners are unknown code, it s not reasonable to call the FileSystem API methods under a lock. On the other hand, this is inevitable in certain situations. People need to keep their internal structures synchronized. Writing to disk is occasionally necessary. Calling an API at a lower level (on someone s

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Careful observers will note that we ve crafted our solution to work with the ALL_TAB_COLUMNS system view. Oracle also includes a system view named ALL_TAB_COLS. The two seem almost identical, having the same fields, but slightly different row counts. So why choose ALL_TAB_COLUMNS in this recipe The answer has to do with the slightly different definitions Oracle uses in defining the two views. The ALL_TAB_COLS system view includes hidden columns not normally visible to users or developers. As our recipe seeks ordinary data used every day by end-users, we rightly assume that the developers have not played tricks by either hiding columns of their own or abusing Oracle s system-controlled hidden columns.

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Once you have the construct for the core data entity class, you can begin to implement this abstract class in specialized data entity classes that map to the data entities that are required by your application and stored within your database. This implementation takes the form of these two classes: A data container structure A data entity class The data container structure contains only the data and is implemented using C# types to hold the actual data. For example, you may have a structure that holds your configuration data with the connection string being defined as a string. You may have multiple instances of data containers, stored in C# arrays, that hold the data for multiple rows as required by the RSS feed s list data. The data entity class then uses the data container within this structure when performing its CRUD actions. For example, if you wanted to create a record, you d pass the data values in a data container structure for the data entity class to insert into the database using its appropriate method. As you progress through the chapter, you ll focus on two instances of these data components, one for the RSS aggregator s configuration and one for the list of RSS feeds to which users have subscribed. The actual implementation, and how the structure holds the data and a class to provide the implementation, will become clear as you implement the RSS aggregator s data access and data storage classes.

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More than likely, the new version will take more time than originally promised. It might not even have all the features of the previous one. However, it is nice and clean (as shown in Figure 4-8)! That s obvious, because you started it from scratch. There is no reason for it to contain design flaws. It is as beautiful as the first version we used to have. And, now, we are finally where we wanted to be . . .

The recipe so far has not made any assumptions about the tool or tools you ll use when working with the solution. You can happily run the first statement in SQL*Plus, SQL Developer, or through a programmable API, and retrieve the second set of statements to run. Similarly, you can use any tool to then execute those statements and view the results revealing the hiding place of your lost text. But some extra niceties are possible. For instance, you could wrap much of the logic in a PL/SQL function or stored procedure, or use the formatting capabilities of a query tool like SQL*Plus to make the solution even more elegant.

The next sections of this chapter will concentrate on providing an implementation of the DAL and DSL, utilizing the ADO.NET framework and associated classes for database interaction. A prerequisite for this is the installation of an appropriate ADO.NET-based driver, so I ll start by introducing the options available to you and then discuss which option I have chosen to use in the examples and why.

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