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Data type prefixes help prevent errors in two ways. One is that when you declare a variable with a data type prefix, you re documenting that you understand that the data type is a date, number, or varchar2. You re saying, Hey, I know what this is! From that point in your coding forward, you can work with that assertion in place, to make sure that you re not doing any implicit conversions. Preventing implicit conversions prevents errors. Data type prefixes also make it clear that a data type conversion is necessary. If you find yourself coding away in the far recesses of your stored procedure, and you come to a line where you re going to make an assignment and the data type prefixes are not the same, you know that you need to code an explicit data type conversion. In turn, coding an explicit data type conversion will prevent an implicit conversion. Again, preventing implicit conversions prevents errors. So let s look at how you code an explicit data type conversion.

To create a class diagram using UML Modeler, follow these steps (you can also create it by hand): 1. Start UML Modeler and choose File Open. Then select the UMLAct2_1 project and click OK. 2. You should be presented with the use case diagram developed in Activity 2-1. In the main explorer window located in the upper-left corner of the screen, select the UMLAct2_1 node. Double-click the UMLAct2_1 class diagram node in the Properties Editor. The main window will display an editor for creating the class diagram, as shown in Figure 2-17.

The import record shows important information, such as the user who submitted the import, the date and time the import was submitted, and the import file name and file size Additionally, you can view the records that were created during the import process and examine the errors for records that were not imported The ability to view failures for each import allows you to easily identify issues with your import file so that you can update it and re-import the records that did not get created during the import process To assist with your import troubleshooting, you can also download a comma-separated value file of these failed records, including all of their original source data, by clicking the Export Error Rows button on the grid toolbar.

When you perform an explicit conversion, you can wrap your PL/SQL statements in their own PL/SQL block, or as I like to say, block your code. This allows you to catch any exceptions raised during the data type conversion, so you can do something intelligent with your newfound knowledge of the error. You perform an explicit data type conversion by using one of the following functions: to_char(): Used to convert a date or number to a varchar2 data type to_date(): Used to convert a varchar2 to a date data type to_number(): Used to convert a varchar2 to a number data type

Even though the Import Data Wizard provides a straightforward interface, you should not expect to get perfect data imports each time! After you review the failed records and adjust the data maps or source files, you should resubmit your import However, you will also probably want to undo the previously completed import so that you don t import the same data twice Fortunately, Microsoft Dynamics CRM makes it very easy for you to delete all of the records associated with a particular data import When you browse to the list of imports and open an import job, you can click the Delete button in the ribbon and choose to delete the records associated with that import, as shown in Figure 4-8 You can choose to delete all of the imported records associated with the zip file (helpful if the .