---
title: Aggregation Type (Term Mapping)
description: Aggregation Type sets an aggregate function, or Group By, on the term mapping of a target term.
---

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# Aggregation Type (Term Mapping)

**Applies to**  
Platform: Microsoft SQL Server · Snowflake · Snowflake dbt · Databricks · Databricks dbt · Fabric Lakehouse · Fabric Warehouse · Oracle

Aggregation Type sets an aggregate function, or Group By, on the term mapping of a target term. Use it when a dataflow set must deliver one row per group, for example sales per supplier.

### Where to set it

Set Aggregation Type when you [edit a term mapping](https://knowledge.bigenius-x.com/edit-a-term-mapping?hsLang=en).

### Values and default

- `-` (default): no aggregation.
- `Group By`: the term is part of the GROUP BY clause.
- `Sum`, `Avg`, `Min`, `Max`, `Count`, `Distinct Count`: the mapped expression is wrapped in that function.
- `Expression`: the mapped expression already contains the aggregate function and is used as written.

### Rules

- When one term mapping of a dataflow set has an Aggregation Type, every mapped term of that set needs one. See [Dataflow Sets Aggregation Amount (Business Rule)](https://knowledge.bigenius-x.com/dataflow-sets-aggregation-amount-business-rule?hsLang=en).
- A dataflow with a multi-version load cannot aggregate. See [Aggregation with multi-version load (Business Rule)](https://knowledge.bigenius-x.com/aggregation-with-multi-version-load-business-rule?hsLang=en).
- Mart Dimension and Mart Hierarchy Flatten accept no aggregation.

### Example

A Mart Fact on Microsoft SQL Server maps `SALES_AMOUNT` with `Sum`, `REDUCTION_PERCENT` with `Expression` and the foreign key `FK_..._ITEM_ID`, filled from `SUPPLIER_ID`, with `Group By`. The `Expression` of `REDUCTION_PERCENT` is used as written, here with lower-case `sum`. The generated source view, shortened:

```
SELECT
     CAST([s3].[SUPPLIER_ID] AS DECIMAL(38)) AS [FK_..._ITEM_ID]
    ,SUM([s1].[SALES_AMOUNT]) AS [SALES_AMOUNT]
    ,sum([s1].[SALES_AMOUNT]) / (sum([s1].[SALES_PRICE])
        * sum([s1].[QUANTITY])) * 100 AS [REDUCTION_PERCENT]
FROM ...
GROUP BY
     CAST([s3].[SUPPLIER_ID] AS DECIMAL(38))
```

### Related articles

- Reference: [Dataflow Sets Aggregation Amount (Business Rule)](https://knowledge.bigenius-x.com/dataflow-sets-aggregation-amount-business-rule?hsLang=en), [Aggregation with multi-version load (Business Rule)](https://knowledge.bigenius-x.com/aggregation-with-multi-version-load-business-rule?hsLang=en)
- See also: [Edit a Term Mapping](https://knowledge.bigenius-x.com/edit-a-term-mapping?hsLang=en), [Create a Mart Fact](https://knowledge.bigenius-x.com/create-a-mart-fact?hsLang=en)

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