---
title: Use Sequential Dataflow Execution (Model Object)
description: Use Sequential Dataflow Execution (UseSequentialDataflowExecution) decides whether the dataflow loaders of an object run in sequence or in parallel.
---

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# Use Sequential Dataflow Execution (Model Object)

**Applies to**  
Platform: Databricks · Fabric Lakehouse

Use Sequential Dataflow Execution (`UseSequentialDataflowExecution`) decides whether the dataflow loaders of an object run in sequence or in parallel. It matters only for model objects with more than one dataflow.

The dbt generators do not offer the property.

### Where to set it

Set the property when you [edit a model object](https://knowledge.bigenius-x.com/edit-a-model-object?hsLang=en) of a type with dataflow loaders: Store Entity, Entity, Fact, Mart Dimension, Mart Fact, the Hub, Link and Satellite types of Data Vault, and Reference Table. Stage, the composite types and PIT do not offer it.

### Values and default

- `true` (default): the load control runs the dataflow loaders of the object one after another.
- `false`: the load control may run them in parallel.

A model object with one dataflow has a single loader, so the value has no effect on it. Parallel loaders can be faster. Because they write into the same table, they can need a distinct partition for each dataflow, set with [Optimization Method](https://knowledge.bigenius-x.com/optimization-method-model-object?hsLang=en) and [Optimization Method Columns](https://knowledge.bigenius-x.com/optimization-method-columns-model-object?hsLang=en).

### Related articles

- Reference: [Optimization Method (Model Object)](https://knowledge.bigenius-x.com/optimization-method-model-object?hsLang=en), [Optimization Method Columns (Model Object)](https://knowledge.bigenius-x.com/optimization-method-columns-model-object?hsLang=en)
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    - Fabric Lakehouse: [Load data - Native Load Control](https://knowledge.bigenius-x.com/fabric-lakehouse-load-data-native-load-control-2.0?hsLang=en)

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