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OODBSs are particularly suitable for modeling the real world as closely as possible without forcing unnatural relationships between and within entities The philosophy of object orientation offers a holistic as well as a modeling-oriented view of the real world These views are necessary for dealing with an elusive subject like modeling temporal change, particularly in adding OO features to structured data Despite the general availability of numerous open source OODBSs, most are based in part on relational systems that support query language interfaces and therefore are not truly OODBSs; rather, they operate more like relational databases with OO interfaces A true OODBS requires access via a programming interface Application areas of OO database systems include geographical information systems (GISs), scientific and statistical databases, multimedia systems, picture archiving and communications systems, and XML warehouses.

names. But more commonly, the source object will be a business object, in which case the list of public properties and fields is returned.

The greatest adaptability of the OODBS is the tailoring of the data (or objects) and its behavior (or methods) Most OODBS system integrators rely on OO methods for describing data and build their solutions with that expressiveness in the design Thus, object-oriented database systems are built with specific implementations and are not intended to be general purpose or generalized to have statement response-type interfaces like RDBSs..

The GetColumns() method determines the type of the source object and dispatches the work to typespecific helper methods: private List<string> GetColumns(object source) { List<string> result; // first handle DataSet/DataTable object innerSource; IListSource iListSource = source as IListSource; if (iListSource != null) innerSource = iListSource.GetList(); else innerSource = source; DataView dataView = innerSource as DataView; if (dataView != null) result = ScanDataView(dataView); else { // now handle lists/arrays/collections IEnumerable iEnumerable = innerSource as IEnumerable; if (iEnumerable != null) { Type childType = Utilities.GetChildItemType( innerSource.GetType()); result = ScanObject(childType); } else { // the source is a regular object result = ScanObject(innerSource.GetType()); } } return result; } As in GetIList(), if the source object implements IListSource, then its GetList() method is called to retrieve the underlying IList object.

Next, that object is checked to see if it is a DataView. If so, a ScanDataView() method is called to pull the column names off the DataView object: private List<string> ScanDataView(DataView ds) { List<string> result = new List<string>(); for (int field = 0; field < ds.Table.Columns.Count; field++) result.Add(ds.Table.Columns[field].ColumnName); return result; }

Listing 8-7. Implementation for the julian_init() Function (expert_udf.cc) my_bool julian_init(UDF_INIT *initid, UDF_ARGS *args, char *message) { if (args->arg_count != 3) /* if there are not three arguments */ { strcpy(message, "Wrong number of arguments: JULIAN() requires 3 arguments."); return 1; } if ((args->arg_type[0] != INT_RESULT) || (args->arg_type[1] != INT_RESULT) || (args->arg_type[2] != INT_RESULT)) { strcpy(message, "Wrong type of arguments: JULIAN() requires 3 integers."); return 1; } return 0; } Notice in Listing 8-7 that the argument count is checked first followed by type checking of the three parameters. This ensures they are all integers. Savvy programmers will note that the code should also check for ranges of the values. Since the code does not check ranges of the parameters, this could lead to unusual or invalid return values. I leave this to you to complete should you decide to implement the function in your library. It is always a good practice to check range values when the domain and range of the parameter values is known. The julian_deinit() function isn t really needed since there are no memory or variables to clean up. You can implement an empty function just to complete the process. It is always a good idea to code this function even if you don t need it. Listing 8-8 shows the implementation for this function. Since we didn t use any new variables or structures, the implementation is simply an empty function. If there had been variables or structures created, you would deallocate them in this function. Listing 8-8. Implementation for the julian_deinit() Function (expert_udf.cc) void julian_deinit(UDF_INIT *initid) { } The real work of the JULIAN function occurs in the julian() implementation. Listing 8-9 shows the completed julian() function.

Here s an example of a managed preference interaction. Let s say user John Doe kept having the Microsoft AutoUpdate application notify him of available Office updates. As a non-admin user, he has no way to install these, so he finds the notifications just annoying. (And he s starting to wonder why you, the systems administrator, haven t already taken care of these updates!) Worse, even though every time it comes up he sets it to check only manually, it keeps getting reset to check automatically. As the administrator, you thought you had managed preferences for all your machines to disable automatic checking for Office updates, and indeed, no one else is reporting this issue. So to begin troubleshooting, let s check the managed preferences for John.