In Oracle Data Integrator (ODI), data transformations and filters can be implemented within mappings to manipulate, enrich, and filter data during the data integration process. Here’s how you can implement data transformations and filters in ODI:
- Adding Transformations:
- Drag and drop the desired transformation component from the Component Palette onto the mapping canvas.
- Connect the transformation component to the appropriate source or target columns by clicking on a column in the source datastore, dragging the connection line to the transformation component, and releasing the mouse button.
- Configure the properties of the transformation component by right-clicking on it and selecting “Properties.”
- Within the properties window, define expressions, conditions, mappings between source and target columns, and other settings specific to the transformation.
- Examples of transformations in ODI include Filter, Join, Aggregate, Expression, Lookup, Set, Splitter, and many more. Each transformation has its own specific configuration options.
- Applying Filters:
- To apply filters on the data, you can use the Filter transformation or the Expression transformation in ODI.
- The Filter transformation allows you to define conditions that determine whether a row should be included or excluded from the output.
- The Expression transformation enables you to define complex expressions using SQL, PL/SQL, or ODI functions to calculate and filter data.
- To apply a filter, configure the conditions or expressions within the transformation properties.
- For example, you can specify a condition in the Filter or Expression transformation to filter rows based on specific criteria, such as filtering out records with a certain value or applying a date range filter.
- Custom Transformations:
- ODI also allows you to create custom transformations using SQL, PL/SQL, or other programming languages.
- Custom transformations provide flexibility to implement complex business rules and data transformations that are not available through the built-in transformations.
- You can create a custom transformation as a reusable procedure or package and then invoke it within the mapping.
- To use a custom transformation, drag and drop the Custom transformation component from the Component Palette onto the mapping canvas and configure its properties to invoke the custom procedure or package.
- Validating and Testing:
- After implementing transformations and filters, it is important to validate the mapping to ensure its correctness.
- Select “Validate” from the toolbar or right-click on the mapping and choose “Validate” to check for any errors or warnings.
- Once the mapping is validated, you can run test scenarios to verify that the transformations and filters produce the desired results.
- Execute the mapping by right-clicking on it and selecting “Run” or using the Execute button on the toolbar.
- Monitor the execution logs and review the output data to confirm that the transformations and filters are applied correctly.
By implementing data transformations and filters in ODI mappings, you can effectively manipulate, enrich, and filter data during the data integration process, ensuring the accuracy and quality of your integrated data.
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