Data Transform

Data Transform operations for filtering, mapping, and grouping collections.

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:

• Filtering
• Mapping
• Grouping

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.

Output

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

Filter

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

Configuration

Field	Required	Description
Input	Yes	The collection (array) to filter. Reference as $vars.<nodeName>.output.
Conditions	Yes	One or more conditions. An entry is kept only if all conditions are met.

Example

Keep only orders with a status of "completed":

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

Output available as $vars.filter1.output.

Map

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

Configuration

Field	Required	Description
Input	Yes	The collection (array) to transform.
Field mappings	Yes	For each target field, define the name and the source field or expression.

Example

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.

Configuration

Field	Required	Description
Input	Yes	The collection (array) to group.
Group by field	Yes	The field whose value determines the group.
Aggregations	No	Additional computed fields per group (count, sum, average, min, max, first, last, collect).

Example

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

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

Output available as $vars.groupBy1.output.

Common issues

Issue	Resolution
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.