---
title: Databricks - Dimensional and Mart
description: Databricks - Dimensional and Mart generates a Stage, a Core and a Mart for Databricks as notebooks with SQL statements on Delta tables.
---

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# Databricks - Dimensional and Mart

**Applies to**  
Platform: Databricks  
Architecture: Dimensional · Data Mart

Databricks - Dimensional and Mart generates a Stage, a Core and a Mart for Databricks as notebooks with SQL statements on Delta tables. Select the Generator Configuration `Databricks Dimensional & Mart` when you add a project whose dimensional model and data marts run on Databricks.

### Scope and output

- Platform: Databricks. Each layer is a schema of a Unity Catalog catalog or, with [Use Unity Catalog](https://knowledge.bigenius-x.com/unity-catalog-project?hsLang=en) off, a Hive metastore database.
- Dataflow Modeling columns: Stage in Bronze, the dimensional model objects in Silver, the Mart model objects in the Datamart column. Deployment layers: Stage, Cleanse, Core, Mart. See [Understand the Layering concept](https://knowledge.bigenius-x.com/understand-the-layering-concept?hsLang=en).
- Output: notebooks in `Jupyter` and `LoadControl`, and `deploy.ps1`, described in [Databricks - Artifacts](https://knowledge.bigenius-x.com/databricks-artifacts?hsLang=en).

### Prerequisites

- A Databricks workspace with a catalog for the project, or with the Hive metastore a storage location per layer. The deployment creates the schemas or databases.
- An all-purpose cluster and a user who can create tables and run jobs on it, and read the source tables.
- PowerShell 7 and the Databricks CLI for `deploy.ps1`.

The setup is described in [Databricks - Target environment with Unity Catalog](https://knowledge.bigenius-x.com/databricks-unity-target-environment?hsLang=en) and [Databricks - Target environment with the Hive metastore](https://knowledge.bigenius-x.com/databricks-target-environment?hsLang=en), the placeholders in [Databricks - Placeholder values](https://knowledge.bigenius-x.com/databricks-placeholder-values?hsLang=en).

### Sources and linked projects

Stage source views read each source table as `<catalog>.<schema>.<table>` with placeholders of the source system. [Discover a Databricks Unity Catalog](https://knowledge.bigenius-x.com/discover-a-databricks-unity-catalog?hsLang=en) creates the source model objects; [Source Systems per Generator Configurations](https://knowledge.bigenius-x.com/source-systems-per-generator-configurations?hsLang=en) lists the discovery types.

You can [import a linked project](https://knowledge.bigenius-x.com/import-a-project-to-be-used-as-a-linked-project?hsLang=en), for example a [Databricks - Stage Files](https://knowledge.bigenius-x.com/databricks-stage-files?hsLang=en) or [Databricks - Stage JDBC](https://knowledge.bigenius-x.com/databricks-stage-jdbc?hsLang=en) project, and [export this project as a linked project](https://knowledge.bigenius-x.com/export-a-project-to-be-used-as-linked-project?hsLang=en).

### Supported model objects

#### Source and Stage

- [Source](https://knowledge.bigenius-x.com/create-a-source?hsLang=en)
- [Stage](https://knowledge.bigenius-x.com/create-a-stage?hsLang=en)

#### Dimensional

- [Entity](https://knowledge.bigenius-x.com/create-an-entity?hsLang=en)
- [Fact](https://knowledge.bigenius-x.com/create-a-fact?hsLang=en)
- [Core Composite](https://knowledge.bigenius-x.com/create-a-core-composite?hsLang=en)

#### Mart

- [Mart Dimension](https://knowledge.bigenius-x.com/create-a-mart-dimension?hsLang=en)
- [Mart Fact](https://knowledge.bigenius-x.com/create-a-mart-fact?hsLang=en)
- [Mart Composite](https://knowledge.bigenius-x.com/create-a-mart-composite?hsLang=en)
- [Mart Hierarchy Flatten](https://knowledge.bigenius-x.com/create-a-mart-hierachy-flatten?hsLang=en)
- [Mart Out](https://knowledge.bigenius-x.com/create-a-mart-out?hsLang=en), since Generator 2.2

### Capabilities and limitations

- Loaders: one notebook per loader in the folder `Jupyter`, for example `COR_EN_bk_multipart_not_nullable_Loader`, with the load timestamp as the parameter `bg_loadtimestamp`.
- Tables: Delta tables. [File Format](https://knowledge.bigenius-x.com/file-format-model-object?hsLang=en) offers only `delta`, and [Optimization Method](https://knowledge.bigenius-x.com/optimization-method-model-object?hsLang=en) offers `Partitioned By` and `Cluster By`.
- Keys, with Unity Catalog only: Entity and Mart Dimension tables have their identity column `<model object name>_sk` as primary key and, with Use Unique Constraints, a UNIQUE constraint on their business key terms. Databricks does not enforce them, see [Constraints on Databricks](https://docs.databricks.com/aws/en/tables/constraints). Databricks Runtime 17.3 LTS rejects UNIQUE constraints, see [Databricks - Deployment](https://knowledge.bigenius-x.com/databricks-deployment?hsLang=en#a-table-with-a-unique-constraint-is-not-created).
- Foreign keys: [Foreign Key Mode](https://knowledge.bigenius-x.com/foreign-key-mode-model-object?hsLang=en) offers `None` and `Create Disabled` (default), not `Create Enforced`. `Create Disabled` adds the constraint as `NOT ENFORCED`.
- Unknown member: Entity and Mart Dimension tables get a row with surrogate key `-1`, set by [Custom Singleton Values](https://knowledge.bigenius-x.com/custom-singleton-values-model-object?hsLang=en).
- Data quality: Entity and Fact support [data quality rules](https://knowledge.bigenius-x.com/understand-data-quality-rules-overview?hsLang=en).
- Hashing: row hashes are `UNHEX(SHA2(..., 256))` in `Binary` columns, see [How biGENIUS-X builds hash values](https://knowledge.bigenius-x.com/how-bigenius-x-builds-hash-values?hsLang=en).
- Validity: with Persist Validity on (default), historized tables store `bg_validtotimestamp`; off, the result view computes it.
- Deployment: with the default [Deployment Options](https://knowledge.bigenius-x.com/deployment-options-project?hsLang=en), each deployment replaces the tables and the load control log tables with empty ones, see [Redeploy and keep data](https://knowledge.bigenius-x.com/databricks-deployment?hsLang=en#redeploy-and-keep-data) in [Databricks - Deployment](https://knowledge.bigenius-x.com/databricks-deployment?hsLang=en).
- Governance: [Apply Sensitivity Level Tags](https://knowledge.bigenius-x.com/apply-sensitivity-level-tags-project?hsLang=en) adds a tags notebook that the deployment does not run.

### Project properties

The configuration offers these project properties, with their defaults:

- [Hash Algorithm](https://knowledge.bigenius-x.com/hash-algorithm-project?hsLang=en): `SHA-256`, the only value
- [Hash Casing](https://knowledge.bigenius-x.com/hash-casing-project?hsLang=en): `None`; also `Upper` and `Lower`
- [Hash Concatenation Separator](https://knowledge.bigenius-x.com/hash-concatenation-separator-project?hsLang=en): `_`
- [Hash Null Placeholder](https://knowledge.bigenius-x.com/hash-null-placeholder-project?hsLang=en): `_NULL_`
- [Hash Trim](https://knowledge.bigenius-x.com/hash-trim-project?hsLang=en): off
- [Begin of Universe](https://knowledge.bigenius-x.com/begin-of-universe-project?hsLang=en): `1900-01-01`
- [End of Universe](https://knowledge.bigenius-x.com/end-of-universe-project?hsLang=en): `9999-12-31`
- [Persist Validity](https://knowledge.bigenius-x.com/persist-validity-project?hsLang=en): on
- [Create Result Views](https://knowledge.bigenius-x.com/create-result-views-project?hsLang=en): on
- [Target Object Comment Type](https://knowledge.bigenius-x.com/target-object-comment-type-project?hsLang=en): `None`; also `Tables` and `Tables and Views`
- [Use Unity Catalog](https://knowledge.bigenius-x.com/unity-catalog-project?hsLang=en): on
- [Use Unique Constraints](https://knowledge.bigenius-x.com/use-unique-constraints-project?hsLang=en): on
- [Deployment Options](https://knowledge.bigenius-x.com/deployment-options-project?hsLang=en): `Generate Drop Table Statements` and `Generate Create Schema If Not Exists Statements`; also `Generate Alter View Body Statements`
- [Notebook Deployment Objects Limit](https://knowledge.bigenius-x.com/notebook-deployment-objects-limit-project?hsLang=en): `100`
- [Apply Sensitivity Level Tags](https://knowledge.bigenius-x.com/apply-sensitivity-level-tags-project?hsLang=en): off
- [Sensitivity Level Tag Name](https://knowledge.bigenius-x.com/sensitivity-level-tag-name-project?hsLang=en): `sensitivity_level`
- [Configure LoadControl](https://knowledge.bigenius-x.com/configure-loadcontrol-project?hsLang=en): on
- [Deploy LoadControl](https://knowledge.bigenius-x.com/deploy-loadcontrol-project?hsLang=en): on
- [LoadControl Options](https://knowledge.bigenius-x.com/loadcontrol-options-project?hsLang=en): `Multi-Threading Notebook`; also `Airflow`
- [Logging Method](https://knowledge.bigenius-x.com/logging-method-project?hsLang=en): `Delta Table`; also `Python Logger`

### Data types

The Default Terms get these data types:

- Timestamps, `Timestamp`: `BG_LoadTimestamp`, `BG_UpdateTimestamp`, `BG_ValidFromTimestamp`, `BG_ValidToTimestamp`, `BG_EffectiveTimestamp`
- Row hashes, `Binary`: `BG_RowHash`, `BG_RowHashScd1`, `BG_RowHashScd2`
- Text, `String`: `BG_SourceSystem`, `BG_DataflowName`, `BG_DataflowSetName`, `BG_ErrorDescription`, `BG_IncrementLoadStatus`
- Numbers, `Long`: `BG_ID`, `BG_DataQuality_ID`, `BG_Entity_Identity`, `BG_Entity_ForeignKey_Identity`, `BG_Fact_ForeignKey_Identity`, `BG_MartDimension_Identity`, `BG_MartFact_ForeignKey_Identity`; `Integer`: `BG_ErrorCount`
- Flags, `Integer`: `BG_IsDeleted`

### Platform differences

The table compares the configuration with [Microsoft SQL Server - Dimensional and Mart](https://knowledge.bigenius-x.com/microsoft-sql-server-dimensional-and-mart?hsLang=en) of the same release:

| Item | Databricks | Microsoft SQL Server |
| --- | --- | --- |
| Timestamp Default Terms | `Timestamp` | `datetimeoffset` |
| Hash Default Terms | `Binary` | `binary(20)` |
| Text Default Terms | `String` | `nvarchar` |
| Hash Algorithm default | `SHA-256` | `SHA1` |
| Persist Validity default | on | off |
| Deployment Options default | drop tables, create schemas | drop tables |
| Enforced foreign keys | not available | available |
| Index management | not available | available |

Both platforms offer the LoadControl Option `Airflow`. The native load control is `Multi-Threading Notebook` on Databricks.

### Example

The lookup view of a Fact `relationship_fk_multipart_not_nullable_fa` joins the version of the historized Entity `bk_nullable` valid at `bg_effectivetimestamp`. The excerpt shows the example catalog `dwh` and omits one relationship:

```
SELECT
     `bg_source`.`bg_sourcesystem` AS `bg_sourcesystem`
    ,`bg_source`.`bg_effectivetimestamp` AS `bg_effectivetimestamp`
    ,`bg_source`.`order_as_free_text` AS `order_as_free_text`
    ,COALESCE(`r2`.`bk_nullable_sk`, -1)
        AS `bk_nullable_bdc_employee_nullablebk_sk`
FROM `dwh`.`cleanse`.
    `cls_f_relationship_fk_multipart_not_nullable_fa_source`
    AS `bg_source`
LEFT OUTER JOIN `dwh`.`core`.`cor_en_bk_nullable_result` AS `r2`
   ON (`r2`.`bdc_employee_id` <=> `bg_source`.
       `fk_bk_nullable_bdc_employee_nullablebk_bdc_employee_id`)
  AND (`bg_source`.`bg_effectivetimestamp` >= `r2`.`bg_validfromtimestamp`)
  AND (`bg_source`.`bg_effectivetimestamp` < `r2`.`bg_validtotimestamp`)
```

Without a match the row gets `-1`, the unknown member.

### Release differences

Project Settings shows the Generator Version of your project.

- Generator 2.0: Use Unity Catalog is on by default, off up to Generator 1.10. Target Object Comment Type replaced `Target Platform` with `Tables` and `Tables and Views`, default `None`. Deployment Options added `Generate Alter View Body Statements`.
- Generator 2.2: added Mart Out, the project properties Persist Validity, Create Result Views, the four Hash properties and the two Sensitivity Level properties, and the model object property Increment Management Type on Stage, Fact and Mart Fact. Deployment Options added `Generate Create Schema If Not Exists Statements`, selected by default.
- Generator 2.3: added the model object property [Custom Singleton Values](https://knowledge.bigenius-x.com/custom-singleton-values-model-object?hsLang=en) on Entity and Mart Dimension. The [Optimization Method](https://knowledge.bigenius-x.com/optimization-method-model-object?hsLang=en) of Entity, Fact and Core Composite applies to the table since Generator 2.3.0; up to Generator 2.2.1 it was ignored. 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.
- Generator 2.4: added the project property [Use Unique Constraints](https://knowledge.bigenius-x.com/use-unique-constraints-project?hsLang=en).
- Generator 1.10: the project property [Delta Detection](https://knowledge.bigenius-x.com/delta-detection-project?hsLang=en). Since Generator 2.0, Delta Detection is a property of the Entity and the Mart Dimension.

### Related articles

- Previous: 
    - Databricks: [Target environment with Unity Catalog](https://knowledge.bigenius-x.com/databricks-unity-target-environment?hsLang=en), [Target environment with the Hive metastore](https://knowledge.bigenius-x.com/databricks-target-environment?hsLang=en)
- Next: [Generate artifacts](https://knowledge.bigenius-x.com/generate-artifacts?hsLang=en), [Replace the placeholders in the artifacts](https://knowledge.bigenius-x.com/replace-the-placeholders-in-the-artifacts?hsLang=en) 
    - Databricks: [Artifacts](https://knowledge.bigenius-x.com/databricks-artifacts?hsLang=en), [Deployment](https://knowledge.bigenius-x.com/databricks-deployment?hsLang=en), [Load data - Native Load Control](https://knowledge.bigenius-x.com/databricks-load-data-native-load-control?hsLang=en), [Load data - Apache Airflow Load Control](https://knowledge.bigenius-x.com/databricks-load-data-apache-airflow-load-control?hsLang=en)
- Reference: [Foreign Key Mode (Model Object)](https://knowledge.bigenius-x.com/foreign-key-mode-model-object?hsLang=en), [Custom Singleton Values (Model Object)](https://knowledge.bigenius-x.com/custom-singleton-values-model-object?hsLang=en), [Delta Detection (Model Object)](https://knowledge.bigenius-x.com/delta-detection-model-object?hsLang=en), [Use Unity Catalog (Project)](https://knowledge.bigenius-x.com/unity-catalog-project?hsLang=en), [Use Unique Constraints (Project)](https://knowledge.bigenius-x.com/use-unique-constraints-project?hsLang=en), [Deployment Options (Project)](https://knowledge.bigenius-x.com/deployment-options-project?hsLang=en), [Notebook Deployment Objects Limit (Project)](https://knowledge.bigenius-x.com/notebook-deployment-objects-limit-project?hsLang=en), [LoadControl Options (Project)](https://knowledge.bigenius-x.com/loadcontrol-options-project?hsLang=en), [Optimization Method (Model Object)](https://knowledge.bigenius-x.com/optimization-method-model-object?hsLang=en), [BG\_Entity\_Identity](https://knowledge.bigenius-x.com/bg_entity_identity?hsLang=en), [BG\_MartDimension\_Identity](https://knowledge.bigenius-x.com/bg_martdimension_identity?hsLang=en), [BG\_MartFact\_ForeignKey\_Identity](https://knowledge.bigenius-x.com/bg_martfact_foreignkey_identity?hsLang=en) 
    - Databricks: [Placeholder values](https://knowledge.bigenius-x.com/databricks-placeholder-values?hsLang=en)
- See also: [Available Generator Configurations](https://knowledge.bigenius-x.com/available-generator-configurations?hsLang=en), [Understand the Generator Configuration](https://knowledge.bigenius-x.com/understand-the-generator-configuration?hsLang=en), [Source Systems per Generator Configurations](https://knowledge.bigenius-x.com/source-systems-per-generator-configurations?hsLang=en), [Microsoft SQL Server - Dimensional and Mart](https://knowledge.bigenius-x.com/microsoft-sql-server-dimensional-and-mart?hsLang=en) 
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