---
title: Optimization Method (Model Object)
description: "Optimization Method (OptimizationMethod) sets how the platform organizes the data of a generated table: by partitions or by liquid clustering."
---

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# Optimization Method (Model Object)

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

Optimization Method (`OptimizationMethod`) sets how the platform organizes the data of a generated table: by partitions or by liquid clustering. The columns come from [Optimization Method Columns](https://knowledge.bigenius-x.com/optimization-method-columns-model-object?hsLang=en).

The property is not available on Microsoft SQL Server, Snowflake, Snowflake dbt, Fabric Warehouse and Oracle.

### Where to set it

Set Optimization Method when you [edit a model object](https://knowledge.bigenius-x.com/edit-a-model-object?hsLang=en). It is available on the model object types that these generators store as tables, for example Stage, Store Entity, Hub, Satellite, Fact or Mart Dimension. Source, Hierarchy Flatten and Mart Hierarchy Flatten objects do not have it.

### Values

- `None`: no optimization clause.
- `Partitioned By`: Databricks and Fabric Lakehouse create the table with `PARTITIONED BY`; Databricks dbt sets `partition_by`.
- `Cluster By`: Databricks and Fabric Lakehouse create the table with `CLUSTER BY`, which is liquid clustering; Databricks dbt sets `liquid_clustered_by`.

The requirements of liquid clustering are described in the Databricks documentation [Use liquid clustering for tables](https://docs.databricks.com/aws/en/delta/clustering).

### Default value

`None`.

### Interactions

- With `Partitioned By` or `Cluster By`, select at least one term in Optimization Method Columns. Otherwise validation reports the error `Model object has an optimization method, but no optimization method columns defined.` The client does not generate the project until a column is selected.
- With Implementation Type `Virtual`, no table exists. Validation reports the warning `Model object is virtual, but has an optimization method defined.`, and the method is ignored.

### Example

The Stage `LOYALTYCARD` on Databricks has Optimization Method `Partitioned By` with the term `LOYALTYCARD_ID`. The deployment notebook creates the table like this:

```
CREATE OR REPLACE TABLE ... `stg_st_loyaltycard` (
     `bg_sourcefilepath` String NOT NULL
    ...
    ,`loyaltycard_id` Decimal(38,0) NOT NULL
    ...
)
USING delta
PARTITIONED BY (
     `loyaltycard_id`
)
```

The Stage `BRANCH` of the same project has `Cluster By` with the term `BRANCH_ID`, and its table ends with `CLUSTER BY (`branch_id`)`.

### Release differences

- Generator 2.3: the Optimization Method of Entity, Fact, Core Composite, RawVault Composite and Store Composite applies to their tables on Databricks and Fabric Lakehouse. Up to Generator 2.2.1 it was ignored for these types, see [Generators Release - 2.3.0](https://knowledge.bigenius-x.com/generators-release-2.3.0?hsLang=en). Tables of these types that were deployed with Generator 2.2.1 or earlier get the method only when they are created again. Redeploy with `Generate Drop Table Statements` selected, or recreate only the affected tables yourself. Then reload their data.

### Related articles

- Reference: [Optimization Method Columns (Model Object)](https://knowledge.bigenius-x.com/optimization-method-columns-model-object?hsLang=en), [File Format (Model Object)](https://knowledge.bigenius-x.com/file-format-model-object?hsLang=en)
- See also: [Optimize load performance](https://knowledge.bigenius-x.com/optimize-load-performance?hsLang=en)

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