![]() //Format name and address to look like following List fieldList = new List(types::String) private static server str formatNameAndAddress() // X++ĭataEntityName dataEntityName= tablestr(FMCustomerEntity) The method returns the combined and formatted NameAndAddress value. Paste the following X++ code into the method. Ensure that the method name matches the DataEntityView Method property value of the unmapped computed field. Right-click the Methods node, and then click New. Update properties of the NameAndAddress unmapped field, as shown in the following screenshot. In the designer for FMCustomerEntity, right-click the Fields node, and then click New > String Unmapped Field. In Solution Explorer, right-click the FMCustomerEntity node, and then click Open. In Microsoft Visual Studio, right-click your project, and add the existing FMCustomerEntity. For writes, your X++ code parses the combined value into its separate name and address values, and then the code updates the regular name and address fields. For reads, the field combines the name and address of the customer into a nice format. In this example, you add a computed field to the FMCustomerEntity entity. The method is required if the property IsComputedField is set to Yes. This property is disabled and irrelevant if the property IsComputedField is set to No. No – The field is a true virtual field, where inbound and outbound values are fully controlled through custom code.Ī static DataEntity method in X++ to build the SQL expression that will generate the field definition.After that, the X++ method is not called at run time. The virtual column definition is static and is used when the entity is synchronized. Requires an X++ method to compute the SQL definition string for the column. Yes – The field is synchronized as a SQL view computed column.Search and filtering on virtual fields are not supported.Virtual fields are typically used for intake values that are calculated by using X++ code and can't be replaced by computed columns.Read and write happens through custom X++ code.If possible, it's a good idea to use computed columns instead of virtual fields, because they are computed at the SQL Server level, whereas, virtual fields are computed row by row in X++. ![]() Computed fields are used mostly for reads.The values are stored in the regular fields of the data sources of the entity. For writes, custom X++ code must parse the input value and then write the parsed values to the regular fields of the data entity.During read, data is computed by SQL and is fetched directly from the view.Value is generated by an SQL view computed column.Unmapped fields always support read actions, but the feature specification might not require any development effort to support write actions. The two types of unmapped fields are computed and virtual. There are mechanisms for generating values for unmapped fields: OverviewĪ data entity can have additional unmapped fields beyond those that are directly mapped to fields of the data sources. Extending an existing entity requires slight modifications. The sample code is targeted towards creating or modifying an entity that is a part of solution that you own. The article includes information about the properties of unmapped fields, and examples that show how to create, use, and test them. This article provides information about computed and virtual fields, which are the two types of unmapped fields that a data entity can have. If you need to find a specific page, you can use Search. Navigation might be different than noted while we make updates. The functionality noted in this article is currently available in both the stand-alone Dynamics 365 Human Resources and the merged Finance infrastructure.
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