Description:
This step formats the date into a specific format.
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 “clsTransformFormatDateDef” example.
- Create a new ETL definition called “clsTransformFormatDateDef” and open the definition in designer mode.
- Drag “clsInputCSV, clsTransformFormatDate, 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 must match those in the input file. Click Save. 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 you understand the schema at a glance.
- Click the "clsTransformFormatDate" step to configure its "Required" properties. Provide a name for the step. Click the button to configure the transform list, then click Save.
- Click the "clsTransformFormatDate" 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. You can add multiple columns for transformation by using the Add Row button.
- Click the "clsOutputCSV" step to configure its "Required" properties. Enter a name for the step and 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 and a variable or global reference to store the virtual output path. Then click the Save button.
- The “Logging” configuration is necessary for documentation and to measure workflow progress and percent complete. This is done 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 “clsTransformFormatDate” step should transform the dates to match the output file’s date format. The variable or 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 any missing configuration steps, such as file path references and database connections, after the import. Then, save the definition to confirm the changes.