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The Rename component lets you change field names within the data flow. By default, all input columns are mapped into output columns of the same name. Any field can be dropped from the list (this is a convenient way of dropping fields), or their names can be updated.


Name = string

A human-readable name for the component.

Column Mapping = column editor

All input fields are available, and can be added multiple times to create copies of a field. Use the output field to rename the column.

Click the Add all button to automatically populate the Source Column and Target Column with all the column names from the input source. You can then selectively edit the list if required, but if you click Add all again it will return the list to the default fully populated state, removing any changes you have made.

Include Input Columns = boolean

If Yes, uniquely named input columns will be included in the output. Any renames that duplicate an existing input column will take priority. The default setting is No.

Snowflake Databricks Amazon Redshift