Click on the upward-facing chevron located on the right side of the canvas. When editing your transformation, you can expand the configuration panel to take up the entire canvas, hiding the graph. Learn more about new branches in mapping data flow. If you change the incoming stream to a transformation that already has downstream transformation, a new branch or parallel data stream will be created.
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The graph will automatically update to show the new logical flow. When you do this, all downstream transformations will move alongside the edited transformation. To change the incoming stream of or "move" a transformation, choose a different value from the Incoming stream dropdown. Unlike the pipeline canvas, data flow transformations aren't edited using a drag and drop model. The output schema of the incoming streams determines which column metadata can be referenced by the current transformation. Each transformation has one or two incoming streams depending on its function and represents an output stream. The Incoming stream field dictates which data stream is feeding the current transformation. In mapping data flows, a set of connected transformation logic is known as a stream. To add a new transformation, select the plus sign on the lower right of an existing transformation.Īs your data flows get more complex, use the following mechanisms to effectively navigate and manage the data flow graph. In the graph, transformation logic is built left-to-right and additional data streams are added top-down. Mapping data flows are authored using a design surface know as the data flow graph.
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