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Intro

All DataFlows have a Details view that provides basic information about the flow.

Access Details View

You can access the Details view for a DataFlow by following these steps:
  1. In the navigation header, select Data to open the Data Center.
  2. In the left rail, select DataFlows. The list of DataFlows in your instance displays.
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  3. In the list, locate and select the DataFlow you want to see details for. You can use the filter options to narrow down the DataFlows that appear in the list. For more information, see Data Center Layout.
The Details view displays. In the Details view, you can select Edit to open your DataFlow in Magic ETL and edit it. You can also select the kebab menu to take the following actions on the DataFlow:
  • View Tags
  • Run
  • Disable
  • Notifications
  • Create Copy
  • Delete
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Details View Tabs

The Details view has five tabs— Settings, DataSets, Lineage, History, and Versions, described below.
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  • The Settings tab lets you control scheduling for a DataFlow. When you check a box for a component DataSet, the DataFlow updates whenever that DataSet updates.
  • The DataSets tab shows you the input and output DataSets in this DataFlow. You can select a DataSet to open the details view for that DataSet.
  • The Lineage tab displays the flow of data from each DataSet that has been combined and/or transformed to create this DataFlow.
  • The History tab provides information about runs, such as the number of successful and failed runs, the average number of successful runs, the run history, whether a run was executed manually or due to an input DataSet being updated, and the status of each run. If a DataFlow fails for any reason, a Failed label displays in the Status column. To see details of a failed flow, select the Failed label to open a graph view of the run with a sortable Action Summary list. The Action Summary list specifies each action the DataFlow took to help you pinpoint issues.
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  • The Versions tab shows a list of versions of the DataFlow. Each time you save edits to a DataFlow, a new version is added to this list.