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UNION

Category: Assumptions & result sets

Overview

The UNION function combines the result sets of two or more input nodes into one output. All inputs must have the same levels and must not have overlapping rows.

Use this function when you want to append non-overlapping result slices from nodes that share the same dimensional structure. UNION is a stricter version of ADDITION (+) and can serve as an extra guardrail because the inputs are required to have the same levels.

Syntax

UNION('Node1', 'Node2' [, 'Node3', ...])

Example usage: UNION('Salary Q1', 'Salary Q2')

Parameters

Parameter

Description

Type

Required

Node1

First input node to combine

Node reference

Yes

Node2

Second input node to combine

Node reference

Yes

Additional nodes

Any number of additional input nodes to combine

Node reference

No

Output Shape

Aspect

Behavior

Dimensionality

Same as all inputs (they must all have the same levels).

Level values

Union of all level values from all inputs.

Row count

Sum of all input row counts. No aggregation or deduplication is performed.

Watch Out

  • All inputs must have the same levels.

  • Inputs must not have overlapping rows. If any row key appears in more than one input, the calculation fails at runtime.

  • The same node cannot appear more than once in the parameter list.

  • All inputs must have the same unit.


Examples

Appending non-overlapping slices

This example shows UNION combining two disjoint salary slices with the same level structure. Because the rows do not overlap, the result appends both slices into one output.

Input node: Node1

Year

Employee

Salary

2025

E1

50,000

2025

E2

60,000

Input node: Node2

Year

Employee

Salary

2026

E1

55,000

2026

E2

66,000

Formula: UNION('Node1', 'Node2')

Year

Employee

→ UNION Result

2025

E1

50,000

2025

E2

60,000

2026

E1

55,000

2026

E2

66,000


Related Functions

Function

When to use instead

ADDITION (+)

When overlap is allowed or expected, or when the inputs do not need UNION's same-level and no-overlap constraints.

ROLLUP

When you need to change granularity or aggregate a node to different levels instead of combining disjoint result slices.

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