COMBINE DATASETS BASED ON PRIMARY KEYS

Appends a new column with a single constant value to every row of the input dataset. Use this worker when you need to tag or annotate a dataset with a fixed label, identifier, or scalar constant before joining or downstream processing.

When to use

Classification: process.

Tagged: add_column, annotation, column, constant, dataset, static, tagging, transform.

Inputs

Label ID Type Default Required Description
Dataset1 dataset1 dataset   Input dataset to which the new static column will be appended; accepts any tabular dataset available in the workflow.
Col Name col_name scalar   Name of the new column to add (string, e.g. ‘source’ or ‘scenario_id’); must be a valid column identifier and should not conflict with existing column names.
Column Value column_value scalar   Constant scalar value to populate in every row of the new column (string or numeric, e.g. ‘baseline’ or ‘1’); the same value is written to all rows.

Outputs

Label ID Type Description
dataset_add_static_column_output_1 dataset_add_static_column_output_1 dataset Output dataset identical to the input but with the new constant-value column appended as the last column.

Disciplines

  • data.dataset.transform

Runnable example

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_add_static_column


Auto-generated from transformation schema. Worker id: dataset_add_static_column. Schema hash: 71c1dda542bc. Hand-curated docs in workerexamples/ override this page when present.