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You can rename individual columns through the column drop-down. Through transform steps, you can apply renaming to one or more columns.

D s minrows

Name Requirements

  • Column names are case-insensitive and cannot begin with whitespace.


  • Column names cannot contain escaped characters, such as \n.

NOTE: When publishing to Avro, Parquet, or database tables, column names support alphanumeric characters and the underscore (_) character only. Other characters cause an error to occur.


NOTE: Column names with spaces or special characters in a transformation must be wrapped by curly braces. Example:

Code Block
column1,{Column 2 with space},column3


Tip: To prevent potential issues with downstream systems, you should limit your column lengths to no more than 128 characters.


When a transform is added to the recipe, an as: clause is automatically added to the transform step. You can modify your transform to change the value of the as: column.

For example, the following transform generates a new column with the first word from the Name column. The as: value renames this generated column as FirstName:


You can apply literals, 

D s item
, or regular expressions to match patterns of text in the source column names. These matching values can then be replaced by a fixed value. For more information on patterns, see Text Matching.

Use row(s) as


column names

When this method is applied, all of the values in the specified row or rows are used as the new names for each column.



NOTE: If source row number information is no longer available, this method cannot be used for column rename.

  • If a value is not applied for the source row number, the next row of data is used.
  • Source row numbers apply. Current row numbers may not be the same. In the data grid, mouse over the leftmost column to see available row information.
  • Each value in the row or combination of values across rows must be unique within the rowset of new column names.
  • The row is removed from its original position.


  • .

The following transformation renames the columns in the dataset based on the values in rows 3 and 4 of the data:

D trans
p06NameFill across?
p03NameRow Numbers - row A
SearchTermRename columns
p05NameChoose your separator
p01ValueUse row(s) as column names
p02ValueCombine multiple rows to name columns
p04NameRow Numbers - row B

In the above:

  • The Separator is defined as an underscore character (_).
  • When Fill across is selected, if any row value is empty, the last non-empty value for the row in a previous column is used as part of the column header.