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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.

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

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.


Info

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

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

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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:

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You can apply literals, 

D s item
itempatterns
, 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

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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.

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Info

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.

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  • .

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

D trans
p03Value3
p06NameFill across?
p01NameOption
p06ValueSelected
p03NameRow Numbers - row A
p04Value4
SearchTermRename columns
Typestep
p05NameChoose your separator
p01ValueUse row(s) as column names
p02NameType
p02ValueCombine multiple rows to name columns
p05Value'_'
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.