To control the creation of UDF or SP macros with dbt run:
* UPDATE_UDFS_AND_SPS
When True, executes all macros included in the on-run-start hooks within dbt_project.yml on model run as normal
When False, none of the on-run-start macros are executed on model run
Default values are False
* Usage:
dbt run --var '{"UPDATE_UDFS_AND_SPS":True}' -m ...
### Resources:
- Learn more about dbt [in the docs](https://docs.getdbt.com/docs/introduction)
- Check out [Discourse](https://discourse.getdbt.com/) for commonly asked questions and answers
- Join the [chat](https://community.getdbt.com/) on Slack for live discussions and support
- Find [dbt events](https://events.getdbt.com) near you
- Check out [the blog](https://blog.getdbt.com/) for the latest news on dbt's development and best practices
## Applying Model Tags
### Database / Schema level tags
Database and schema tags are applied via the `add_database_or_schema_tags` macro. These tags are inherited by their downstream objects. To add/modify tags call the appropriate tag set function within the macro.
To add/update a model's snowflake tags, add/modify the `meta` model property under `config`. Only table level tags are supported at this time via DBT.
```
{{ config(
...,
meta={
'database_tags':{
'table': {
'PURPOSE': 'SOME_PURPOSE'
}
}
},
...
) }}
```
By default, model tags are pushed to Snowflake on each load. You can disable this by setting the `UPDATE_SNOWFLAKE_TAGS` project variable to `False` during a run.
```
dbt run --var '{"UPDATE_SNOWFLAKE_TAGS":False}' -s models/core/core__fact_blocks.sql
```
### Querying for existing tags on a model in snowflake
```
select *
from table(external.information_schema.tag_references('external.core.fact_blocks', 'table'));