Copying DTP Pipelines

You can copy an existing pre-configured or user-configured pipeline and then configure it to meet your specific business requirements. This reduces the effort of creating and configuring a new pipeline when you only need to modify a few components of the pipeline.

Pre-configured pipelines that are included out-of the box cannot be modified. In order to customize these pipelines, you must first create a copy of those pipelines and save it as a new pipeline. You can then configure the newly copied pipeline according to your requirements.

To copy a pipeline, follow these steps.

  1. Navigate to the DTP Pipeline Designer page.
  2. Click the Action button Action icon corresponding to the pipeline that you want to copy.
  3. Click Copy Copy icon. The Copy Pipeline pane displays.
  4. Provide the details as described in the following table.

    Table 2-1 Fields for Copying Pipelines and their Descriptions

    Field Description
    Name Displays the name of the pipeline that you want to copy. You cannot modify this field.
    Copy As Enter the name for the new pipeline that you want to create by copying the existing pipeline. This field allows only the following characters: A-Z a-z 0-9 '-' For example, Abc-123 or Abc123.
    Pipeline Focus Displays the focus for the pipeline that you want to copy. This will be the focus for the new pipeline. You cannot modify this field.
    Search Tags Enter the keywords for the pipeline. These keywords can be used as search tags while searching for a pipeline. Search tags are also used to group pipelines of the same type. These search tags appear as filters in the dashboard.
    Description Enter the description for the pipeline.
  5. Click Save. The pipeline is copied with all widgets and values provided in the original pipeline.
    You can now modify these components, if desired. See Editing Pipelines for more information.

    Note:

    When editing a pipeline, consider the impact your changes may have on subsequent widgets in the pipeline.

    For example, removing a mapped table or column in the Data Forge may impact how an existing Aggregator functions.