.. _auto_dataset_get_schema: *GET SCHEMA FOR THE COLUMNS* ============================ Inspects a dataset and returns a schema table describing each column's name, data type, and basic properties. Optionally restrict schema generation to a specific subset of columns. Use this worker whenever you need to programmatically discover or validate the structure of a dataset before downstream processing. When to use ----------- Classification: **process**. Tagged: ``column_types``, ``dataset_structure``, ``introspection``, ``metadata``, ``schema``. Inputs ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - Label - ID - Type - Default - Required - Description * - Dataset - dataset - dataset - — - - Input dataset whose column schema will be extracted; accepts any tabular dataset available on the platform — leave unconnected only if the schema is to be derived at runtime. * - Choose Columns - columns - scalar - — - - Optional comma-separated or multi-select list of column names to restrict schema output to; when left blank the schema is generated for all columns in the dataset. Outputs ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - Label - ID - Type - Description * - dataset_get_schema_output_1 - dataset_get_schema_output_1 - dataset - Tabular dataset where each row describes one column from the input dataset, including at minimum the column name and inferred data type (e.g., string, integer, float, boolean). Disciplines ----------- - data.dataset.transform - data.statistics Runnable example ---------------- A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: `/api/workflow/example?id=dataset_get_schema `_ .. raw:: html

Auto-generated from transformation schema. Worker id: dataset_get_schema. Schema hash: 9f405b5bc9a2. Hand-curated docs in workerexamples/ override this page when present.