Description:
This step transforms the dates by the date difference.
Inputs
- transforms – Configure transform list
Returns
- None
Usage:
Prerequisite:
The ETL process engine service should be running to execute the ETL definitions.
Example:
Let’s build and execute the “clsTransformDateDifferenceDef” example.
- Create a new ETL definition called “clsTransformDateDifferenceDef” and open the definition in designer mode.
- Drag “clsInputCSV, clsTransformDateDifference, and clsOutputCSV” steps to the canvas.
- Connect the dots between the “clsInputCSV” step and other steps, as shown above.
- Define a variable or a global to hold the virtual path.
- Click the "clsInputCSV" step to configure its "Required" properties. Provide a name for the step. Specify the path to the input CSV file on the application server. Select the ETL data schema from the drop-down list. Note: The schema's column names should match those in the input file. Click the Save button. Click here to learn about the ETL Data Schema Designer.
- Click the "clsInputCSV" step to view its "Optional" properties. Select the Show Schema button. The pop-up window displays the schema columns as shown below. This function helps to understand the schema at a glance.
- Click the "clsTransformDateDifference" step to configure its "Required" properties. Enter the step name. Click the button to configure the transform list. Then click the Save button.
- Click the "clsTransformDateDifference" step to configure the transform list. A pop-up window will appear. Click the Add Row (+) button to insert an empty row. Select the source date column from the drop-down list. Enter the date format. Select the target date column from the drop-down list. Click the Save button. Click the Add Row button to add multiple columns for transformation.
- Click the "clsOutputCSV" step to configure its "Required" properties. Enter a name for the step. Enter the path to the output CSV file on the application server. Click the Save button.
- Click the "clsOutputCSV" step to configure its "Optional" properties. Provide a name for the step. Provide a variable or global reference to store the virtual output path. Click the Save button.
- The “Logging” configuration is necessary for documentation and also measures workflow progress and percent complete. This is achieved by configuring the step state and percent fields individually, as shown below. Configure the “Logging” using the following properties.
- Save the ETL definition, create a new ETL instance, and execute. Render the ETL instance. Click the ETL step to view its properties. The “clsTransformDateDifference” step should transform the dates from the input format to the desired output format for the file. The variable/global holds the output file’s virtual path, as shown below.
Definition Sample:
You may download the sample definition(s) from the link here and later import them (drag-and-drop) to your FlowWright ETL Definition (XML file) page.
Note: Please verify and complete the import process steps for any missing configurations, such as file path references and database connections. Then, save the definition to confirm the changes.