Description:
This step validates data during transformation.
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 “clsValidateDataDef” example.
- Create a new ETL definition named “clsValidateDataDef” and open it in designer mode.
- Drag the “clsInputCSV, clsValidateData, clsErrorCSV, and clsOutputCSV” steps to the canvas.
- Connect the dots between “clsInputCSV” and the 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 "clsValidateData" step to configure its "Required" properties. Provide a name for the step. Click the button to configure the columns to transform. Then click the Save button.
- Click the "clsValidateData" step to configure its "Required" properties. Click the column button to open the transform list configuration. A pop-up window will appear. Click the Add Row (+) button to insert an empty row. Select the column from the drop-down list. Select the operator. Enter the value for the expression validation. Select the “and/or” operator to configure multiple expressions. Click the Save button. You can configure multiple expression lists for transformation using the Add Row button.
- Click the "clsValidateData" step to configure its "Optional" properties. Click the button to configure column types. A pop-up window will appear for configuration. Click the Add Row (+) button to insert an empty row. Select the column from the drop-down list. Select the data type to validate from the drop-down list. Click the Save button. You may add multiple columns for transformation by using the Add Row button.
- Click the "clsValidateData" step to configure its "Optional" properties. Click the button to configure validation with regular expressions. A pop-up window will appear for configuration. Click the Add Row (+) button to insert an empty row. Select the column from the drop-down list. Enter the regular expression to validate. Click the Save button. You may 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. 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.
- Click the "clsErrorCSV" 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 "clsErrorCSV" step to configure its "Optional" properties. Provide a name for the step and specify the variable or global reference to hold 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 “clsValidateData” step should validate the data according to the configuration in the output files. The variable or global holds the virtual path of the output file, as shown below.
Definition Sample:
You may download the sample definition(s) from the link provided and later import them (drag-and-drop) into your FlowWright ETL 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.