Merge Columns
Overview
Feature Description
Merge Columns means combining data from two or more existing columns in a dataset into a new column. This is useful for consolidating information from different columns into a single field.
For example, you can merge province, city, and street columns into a full address, or combine year, month, and day into a complete date. This not only makes data cleaner, but can also generate new information and enrich data depth.

User Guide
Steps
- Drag the
Merge Columnsoperator from the ETL operator area to the canvas on the right. - Click the
Merge Columnsoperator, specify the new column name, select the source columns to merge, and clickConfirm. - Choose whether to
Delete Original Columnsas needed. - Set a delimiter for the new column and define how the original columns are merged.
- After configuration is complete, preview the data result.

Detailed Explanation
The following example shows how to configure Province and City & Code.
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Drag the
Merge Columnsoperator from the ETL operator area to the canvas on the right and connect it after the upstream node. -
Click the
Merge Columnsoperator. The left panel becomes the current operator configuration area. Rename it based on business needs, for exampleProvince and City & Code.
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Click the
Merge Columnsoperator to open its configuration panel. Configure the columns to merge and set the merge method as needed.NotesThe delimiter can be set to none, semicolon, comma, tab, space, or a custom value.
- Merged Columns: Province, Province Code
- Set a delimiter for the new column to define how the original columns are merged. In this example, the delimiter is
Tab.

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Choose whether to
Delete Original Columns. After merging, the original columns can be deleted or retained.-
Delete Original Columns

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Retain Original Columns

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Click
Previewto preview the data result and confirm that the merged column values are as expected and do not contain errors or abnormal values.
After using the Merge Columns operator on an ETL page, how can the merged field be split again?
For other data processing operators used later, see Getting Started.