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Editing an SQL DataFlow

Important: When referencing this page outside of Knowledge Base, use this link: http://knowledge.domo.com?cid=editsqldf

The options available when editing an existing SQL DataFlow are almost the same as those available when you create one.

To edit a DataFlow,

  1. Domo, click  > Data Center.

  2. Click DataFlows in the left-hand navigation pane.
    The DataFlows tab appears. This tab lists all DataFlows in Domo and can be filtered using a variety of filter criteria.

  3. Locate the DataFlow you want to edit in the list then click it.
    The Edit DataFlow view for this DataFlow opens.

  4. Make the desired edits to the DataFlow. For information about available options, see the previous section.

  5. (Optional) If you want to automatically run the DataFlow when the input DataSets are updated, check the boxes for those DataSets at the bottom of the screen.

  6. (Conditional) Do one of the following to save your DataFlow:

    • If you want to run the script that outputs this DataFlow to usable DataSets in Domo, click Save and Run, enter a version description if desired, then click Save to confirm.
      This starts the process of generating DataSets from the DataFlow, or updating the DataSets if they have already been generated. This generation/updating process may take from a minute to an hour or more, depending on the size of the input DataSets.

    • If you want to save this DataFlow without outputting it to DataSets or updating the DataSets at this time, click Save, enter a version description if desired, then click Save to confirm. You can run the DataFlow to output DataSets at any time by mousing over the card for the DataFlow in the DataFlows listing, clicking , and selecting Run. This option and the other options available in this menu are discussed later in this topic.

When you save a DataFlow, an entry for this version is added to the Versions tab in the Details view for the DataFlow. If you entered a description when saving, that description is shown in the entry for the DataFlow. For more information about versions, see Viewing the Version History for a DataFlow.