Curated SQL Views and Metrics for the Near Blockchain.
What's Near? Learn more here
To control which external table environment a model references, as well as, whether a Stream is invoked at runtime using control variables:
- STREAMLINE_INVOKE_STREAMS When True, invokes streamline on model run as normal When False, NO-OP
- STREAMLINE_USE_DEV_FOR_EXTERNAL_TABLES When True, uses DEV schema Streamline. Ethereum_DEV When False, uses PROD schema Streamline. Ethereum
Default values are False
- Usage:
dbt run --var '{"STREAMLINE_USE_DEV_FOR_EXTERNAL_TABLES": True, "STREAMLINE_INVOKE_STREAMS": True}' -m ...
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 ...
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.
{{ set_database_tag_value('SOME_DATABASE_TAG_KEY','SOME_DATABASE_TAG_VALUE') }}
{{ set_schema_tag_value('SOME_SCHEMA_TAG_KEY','SOME_SCHEMA_TAG_VALUE') }}
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 DBT run. 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__ez_dex_swaps.sql
select *
from table(near.information_schema.tag_references('near.core.ez_dex_swaps', 'table'));
When conducting work please branch off of main with a description branch name and generate a pull request. At least one other individual must review the PR before it can be merged into main. Once merged into main DBT Cloud will run the new models and output the results into the PROD
schema.
When creating a PR please include the following details in the PR description:
- List of Tables Created or Modified
- Description of changes.
- Implication of changes (if any).
- Learn more about dbt in the docs
- Check out Discourse for commonly asked questions and answers
- Check out the blog for the latest news on dbt's development and best practices