About the Transform Message Component
The Transform Message component carries out transformations over the input data it receives. You can explicitly write out a transformation in DataWeave language, or you can use the UI to build it implicitly through dragging and dropping elements.
You can work with two representations of the same transformation, and any changes done to one are matched in real time by the other.
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Graphical View: Two tree views show the expected metadata structures of the input and output, mappings between these are represented through lines. These can be created through drag and drop.
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Source Code View: DataWeave code expresses the transformation in full depth, including functions that aggregate, normalize, group, join, partition, pivot and filter data.
The Transform Message component leverages metadata from connectors, schemas and sample data. It offers you a preview of your output that is built on sample data and is updated in real time as you make changes to your transformation.
See Also
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DataWeave language can also be invoked anywhere via MEL functions, see MEL DataWeave Functions.