Description:
This step uses the aggregation feature for transformation.
Inputs
- column – select schema column
- operation - select aggregate operators
- outColumn - select output schema column
Returns
- None
Usage:
Prerequisite:
The ETL process engine service should be running to execute the ETL definitions.
Example:
Let’s build and execute the “clsAggregateTransformDef” example.
- Create a new ETL definition named “clsAggregateTransformDef” and open it in designer mode.
- Drag “clsInputCSV, clsAggregateTransform, 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 store the file 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 "clsAggregateTransform" step to configure its "Required" properties. Provide the step name. Select the input column from the drop-down list. Select the aggregate operator from the drop-down list. Select the output column from the drop-down list. You may also type a new column name that does not exist in the schema and press Enter to add it. Click the button to configure the columns to transform. Click the Save button.
- 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 it. Render the ETL instance. Click the ETL step to view its properties. The “clsAggregateTransform” step should apply the aggregate function configured for the output file. 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 below and later import them (drag-and-drop) into your FlowWright ETL Process Definition (XML file) page.
Note: Please verify and complete the process steps for any missing configurations, such as file path references and database connections, after the import. Then, save the definition to confirm the changes.