Description:
This step extracts a substring from a text during the 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 “clsTransformSubstringDef” example.
- Create a new definition named “clsTransformSubstringDef” and open it in designer mode.
- Drag “clsInputCSV, clsTransformSubstring, and clsOutputCSV” steps to the canvas.
- Connect the dots between the “clsInputCSV” 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 "clsTransformSubstring" 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 "clsTransformSubstring" step to configure its "Required" properties. Click the button to open the transform list configuration window. Click the Add Row (+) button to insert an empty row. Select the source text column from the drop-down list. Enter the delimiter text for the split transformation. Enter the index value. Select the target text column from the drop-down list. You may also type a new Out column name and press Enter to add it. Click the Save button. You may add multiple columns for transformation 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 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 “clsTransformSubstring” step should generate a text substring, as configured, and write it to 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 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.