Columns Rename

This node creates a new DataFrame by renaming existing columns with the new name

Input

This type of node takes in a DataFrame and transforms it to another DataFrame.

Output

The specified columns are renamed to have the new names.

Type

transform

Class

fire.nodes.etl.NodeColumnsRename

Fields

Name	Title	Description
currentColNames	Current Column Names	Current Column Names
newColNames	Columns New Name	New name for existing columns
bulkColumnRename	BulkColumnRename
bulkType	Type	Select Type
prefix	Prefix	Prefix Value
suffix	Suffix	Suffix Value
remove_extra_charcter	Extra Charcter	extra_charcter
replace_pattern	Replace Pattern	regex replace pattern to search
with_pattern_replacement	With Pattern Replacement	regex replacement for matched pattern in Replace Pattern
replace	Replace	replace pattern to search
with_replacement	Replacement	replacement for matched replace
inputCols	Current Column Names	Current Column Names
inputColumnPropagation	Enable Input Column Propagation	When enabled, automatically include all unspecified input columns.

Details

This node creates a new DataFrame by renaming existing columns with the new name.

For the columns to be renamed, provide the new column name. The output dataframe would have the specified columns renamed to the new ones.

Examples

If incoming Dataframe has a column as [CUST NAME] that needs to be renamed to [CUST_NAME] then below details need to be provided in the node:

• CURRENT COLUMN NAMES : CUST NAME

• COLUMNS NEW NAME : CUST_NAME

This would result in output Dataframe having renameed column [CUST_NAME]. A seprate row needs to be added for each Column Rename requirement.