Model configurations
Related documentation
Available configurations
Model-specific configurations
Resource-specific configurations are applicable to only one dbt resource type rather than multiple resource types. You can define these settings in the project file (dbt_project.yml
), a property file (models/properties.yml
for models, similarly for other resources), or within the resource’s file using the {{ config() }}
macro.
The following resource-specific configurations are only available to Models:
- Project file
- Property file
- Config block
models:
<resource-path>:
+materialized: <materialization_name>
+sql_header: <string>
+on_configuration_change: apply | continue | fail #only for materialized views on supported adapters
+unique_key: <column_name_or_expression>
version: 2
models:
- name: [<model-name>]
config:
materialized: <materialization_name>
sql_header: <string>
on_configuration_change: apply | continue | fail #only for materialized views on supported adapters
unique_key: <column_name_or_expression>
{{ config(
materialized="<materialization_name>",
sql_header="<string>"
on_configuration_change: apply | continue | fail #only for materialized views for supported adapters
unique_key='column_name_or_expression'
) }}
General configurations
General configurations provide broader operational settings applicable across multiple resource types. Like resource-specific configurations, these can also be set in the project file, property files, or within resource-specific files.
- Project file
- Property file
- Config block
Warehouse-specific configurations
- BigQuery configurations
- Redshift configurations
- Snowflake configurations
- Databricks configurations
- Spark configurations
Configuring models
Model configurations are applied hierarchically. You can configure models from within an installed package and also from within your dbt project in the following ways, listed in order of precedence:
- Using a
config()
Jinja macro within a model. - Using a
config
resource property in a.yml
file. - From the
dbt_project.yml
project file, under themodels:
key. In this case, the model that's nested the deepest will have the highest priority.
The most specific configuration always takes precedence. In the project file, for example, configurations applied to a marketing
subdirectory will take precedence over configurations applied to the entire jaffle_shop
project. To apply a configuration to a model or directory of models, define the resource path as nested dictionary keys.
Model configurations in your root dbt project have higher precedence than configurations in installed packages. This enables you to override the configurations of installed packages, providing more control over your dbt runs.
Example
Configuring directories of models in dbt_project.yml
To configure models in your dbt_project.yml
file, use the models:
configuration option. Be sure to namespace your configurations to your project (shown below):
name: dbt_labs
models:
# Be sure to namespace your model configs to your project name
dbt_labs:
# This configures models found in models/events/
events:
+enabled: true
+materialized: view
# This configures models found in models/events/base
# These models will be ephemeral, as the config above is overridden
base:
+materialized: ephemeral
...
Apply configurations to one model only
Some types of configurations are specific to a particular model. In these cases, placing configurations in the dbt_project.yml
file can be unwieldy. Instead, you can specify these configurations at the top of a model .sql
file, or in its individual YAML properties.
{{
config(
materialized = "table",
sort = 'event_time',
dist = 'event_id'
)
}}
select * from ...
version: 2
models:
- name: base_events
config:
materialized: table
sort: event_time
dist: event_id