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Quick Start Guide to Oracle Fusion Development
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Instead, you can use an expression to reference the accessor defined by the association between the OrderItems entity object, and the ProductInformation entity object. In this case, the accessor is called ProductInformation.
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The name of the accessor
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On the OrderItems entity object, add a new validation rule to UnitPrice. Set Rule Type to Compare, Operator to GreaterOrEqualTo, and Compare With to Expression. Enter ProductInformation.MinPrice into Expression.
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Implementing Business Service Validation
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You have just defined that the value of UnitPrice must be greater than or equal to the corresponding MinPrice for the product.
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An entity object attribute can also be validated against a list of possible values, where the list of possible values can come from a number of different sources.
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Validating Against a Static List of Values
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The simplest example is to validate an attribute against a list of static values. For example, in the Customers entity object the attribute Gender can only be one of two values: M or F.
Quick Start Guide to Oracle Fusion Development
Create a new validation rule for Gender by setting Rule Type to List, Operator to In, and List Type to Literal Values. For Enter List of Values, enter M and F. This ensures that only M and F will be accepted as valid values for Gender in this application.
Validating Against a View Object Attribute
Rather than checking an attribute value against a list of static values, you can validate against a view object attribute. In 6 you defined a read-only view object of values: MaritalStatusView. You can set a validation rule that the valid values allowed for MaritalStatus are found in that view object. Create a new validation rule for MaritalStatus, setting Rule Type to List, Operator to In, and List Type to View Object Attribute. Then select MaritalStatusView and MarriedStatus to
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Implementing Business Service Validation
define that the only valid values for MaritalStatus are those that exist in the MaritalStatusView view object.
Validating Against a Query Result
A list validation can also validate against a query result. Generally speaking, you will probably want to avoid validating against large result sets in this manner. Furthermore, other validation rules, such as key exists (described next), may be more appropriate. However, for the purpose of demonstration, let s assume that the application is to prevent new customers joining from new territories because you ve not yet set up the supporting management teams in those areas. Therefore, the value for NlsTerritory should be a value that already exists in the Customers table. Create a new validation rule for NlsTerritory and set Rule Type to List, Operator to In, and List Type to Query Result. For Enter SQL Statement, enter the following:
select distinct NLS_TERRITORY from CUSTOMERS
Quick Start Guide to Oracle Fusion Development
This defines that the valid values for NlsTerritory are ones that already exist in the Customers table.
Key exists Validation
A common use case for validation is to check that a value entered already exists as a key. For example, for an order item, you might decide that you want a different product and so change the product ID. In this case you want to ensure that the value entered is a valid product ID. There are a number of advantages in using a key exists validation over something like a list validation using a query result. First, it doesn t always have to go to the database to find the key since it looks in the entity cache, and second, the key exists validation will find keys that exist in the current transaction that have not yet been committed.
Creating a Key exists Validator
Open the entity object editor for OrderItems and create a new validation rule for ProductId. Set Rule Type to Key Exists and Validation Target Type to Entity Object. JDeveloper should automatically recognize that there is an association between the ProductId of OrderItems and the ProductId in the ProductInformation entity object.
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