TransformationNodeBuilder.TransformColumn(String, Boolean, Boolean, String) Method
Transforms a column and specifies a new name for this column. The transformation type depends on the specified parameters.
Namespace: DevExpress.DataAccess.DataFederation
Assembly: DevExpress.DataAccess.v24.2.dll
Declaration
public TransformationNodeBuilder TransformColumn(
string columnName,
bool unfold,
bool flatten,
string alias
)
Parameters
Name | Type | Description |
---|---|---|
columnName | String | The name of a column that should be transformed. |
unfold | Boolean | true to unfold the column; otherwise, false. |
flatten | Boolean | true to flatten the column; otherwise, false. |
alias | String | A new column name. |
Returns
Type | Description |
---|---|
TransformationNodeBuilder | The result of the transformation query. |
Example
The following example demonstrates how to unfold a data source’s Products array and specify a new name for this array:
[
{
"CategoryID": 1,
"Products":
[
{
"ProductName": "Chai",
"UnitPrice": 18
},
{
"ProductName": "Chang",
"UnitPrice": 19
}
]
},
{
"CategoryID": 2,
"Products":
[
{
"ProductName": "Ikura",
"UnitPrice": 31
},
{
"ProductName": "Konbu",
"UnitPrice": 6
}
]
}
]
using DevExpress.DataAccess.DataFederation;
using DevExpress.DataAccess.Json;
// ...
var source = new Source("Products", jsonDataSource);
var query = source
.Transform()
.TransformColumn("Products", unfold: true, flatten: false, "CategoryProducts")
.Build("ProductsUnfolded");
var federation = new FederationDataSource() {
Queries = { query }
};
The following schema is the result of the transformation:
"CategoryID:" int
"CategoryProducts"
"ProductName": string
"UnitPrice": int
See Also