meta

▶Changelog

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
    meta: {<dictionary>}

    tables:
      - name: table_name
        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

The meta config is not currently supported for analyses.

Analyses

macros/schema.yml

version: 2

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

    arguments:
      - name: argument_name
        meta: {<dictionary>}

Macros

models/exposures.yml

version: 2

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

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, or as a top-level key. (For backwards compatibility, meta is always supported as a top-level key, though without the capabilities of config inheritance.)

▶Changelog

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