meta

Models

models/schema.yml

version: 2

models:
  - name: model_name
    config:
      meta: {<dictionary>}

    columns:
      - name: column_name
        meta: {<dictionary>}

The meta config can also be defined:

• under the models config block in dbt_project.yml
• in a config() Jinja macro within a model's SQL file

See configs and properties for details.

Sources

models/schema.yml

version: 2

sources:
  - name: model_name
    config:
      meta: {<dictionary>}

    tables:
      - name: table_name
        config:
          meta: {<dictionary>}

        columns:
          - name: column_name
            meta: {<dictionary>}

Seeds

seeds/schema.yml

version: 2

seeds:
  - name: seed_name
    config:
      meta: {<dictionary>}

    columns:
      - name: column_name
        meta: {<dictionary>}

The meta config can also be defined under the seeds config block in dbt_project.yml. See configs and properties for details.

Snapshots

snapshots/schema.yml

version: 2

snapshots:
  - name: snapshot_name
    config:
      meta: {<dictionary>}

    columns:
      - name: column_name
        meta: {<dictionary>}

The meta config can also be defined:

• under the snapshots config block in dbt_project.yml
• in a config() Jinja macro within a snapshot's SQL block

See configs and properties for details.

Tests

You can't add YAML meta configs for generic tests. However, you can add meta properties to singular tests using config() at the top of the test file.

Analyses

The meta config is not currently supported for analyses.

Macros

macros/schema.yml

version: 2

macros:
  - name: macro_name
    meta: {<dictionary>}

    arguments:
      - name: argument_name

Exposures

models/exposures.yml

version: 2

exposures:
  - name: exposure_name
    meta: {<dictionary>}

Semantic Models

Definition

The meta field can be used to set metadata for a resource. This metadata is compiled into the manifest.json file generated by dbt, and is viewable in the auto-generated documentation.

Depending on the resource you're configuring, meta may be available within the config property, and/or as a top-level key. (For backwards compatibility, meta is often (but not always) supported as a top-level key, though without the capabilities of config inheritance.)

Examples

Designate a model owner

Additionally, indicate the maturity of a model using a model_maturity: key.

models/schema.yml

version: 2

models:
  - name: users
    meta:
      owner: "@alice"
      model_maturity: in dev

Designate a source column as containing PII

models/schema.yml

version: 2

sources:
  - name: salesforce

    tables:
      - name: account
        meta:
          contains_pii: true
        columns:
          - name: email
            meta:
              contains_pii: true

Configure one meta attribute for all seeds

dbt_project.yml

seeds:
  +meta:
    favorite_color: red

Override one meta attribute for a single model

models/my_model.sql

{{ config(meta = {
    'single_key': 'override'
}) }}

select 1 as id

Assign owner in the dbt_project.yml as a config property

models/my_model.sql

models:
  jaffle_shop:
      materialized: table
      config:
        meta:
          owner: "@alice"