Data Transform

Transforms data using a variety of operations. The Data Transform node and its individual operation nodes (Filter, Map, Group By) are available as separate selectable nodes in the node palette.

When to use Data Transform vs Script

Use Data Transform operations when the transformation is a field-level operation on a collection. The available operations cover:

• Filtrar
• Asignación
• Agrupación

Use Script when the transformation requires conditional logic, arithmetic, or string manipulation, or when no dedicated operation covers the case. Both can be combined: a Data Transform operation can filter or reshape a collection, then pass the result to a Script node.

Salida

All Data Transform operation nodes output their result as output, accessible downstream as $vars.<nodeName>.output.

Filtro

Keeps only the entries in a collection that match your conditions.

Configuración

Campo	Obligatorio	Descripción
Entrada	Sí	The collection (array) to filter. Reference as $vars.<nodeName>.output.
Condiciones	Sí	One or more conditions. An entry is kept only if all conditions are met.

Ejemplo

Keep only orders with a status of "completed":

• Entrada: $vars.fetchOrders1.output.body
• Condition: status equals completed

Output available as $vars.filter1.output.

Mapa

Transforms each entry in a collection by modifying or reshaping its fields.

Configuración

Campo	Obligatorio	Descripción
Entrada	Sí	The collection (array) to transform.
Field mappings	Sí	For each target field, define the name and the source field or expression.

Ejemplo

Rename firstName and lastName fields to first and last:

Target field	Source mapping
first	firstName
last	lastName

Output available as $vars.map1.output.

Group By

Groups a collection by a shared field and aggregates values like totals, averages, or counts.

Configuración

Campo	Obligatorio	Descripción
Entrada	Sí	The collection (array) to group.
Group by field	Sí	The field whose value determines the group.
Aggregations	No	Additional computed fields per group (count, sum, average, min, max, first, last, collect).

Ejemplo

Group a list of orders by region and count the number of orders per region:

• Entrada: $vars.fetchOrders1.output.body
• Group by: region
• Aggregation: orderCount = count

Output available as $vars.groupBy1.output.

Problemas comunes

Incidencia	Resolución
Output is empty after Filter	The conditions don't match any entries. Inspect the input collection in the execution trace to verify the field names and values.
Map output has undefined fields	The source field path doesn't exist in the input entries. Use the execution trace to confirm the input structure.