@Scout how do i trigger a full refresh command to materialize a dbt asset?

To trigger a full refresh command to materialize a dbt asset, you can pass configuration to the underlying operation that backs your software-defined assets. This configuration can be passed in the launchpad to ensure that a full refresh occurs. The documentation provides an example of how to do this:

yaml ops:   run_dbt_b83ee_a92a1:     config:       full_refresh: true

In this example,

run_dbt_b83ee_a92a1

is the name of the operation that backs the dbt software-defined assets. By setting the

full_refresh

configuration to

true

, you instruct Dagster to perform a full refresh when materializing the asset. Additionally, if you are using the

@dbt_assets

decorator, you can define a function that includes the

--full-refresh

argument when invoking the

dbt

CLI. Here's an example from the documentation:

python from dagster_dbt import dbt_assets  @dbt_assets(manifest=Path("target", "manifest.json")) def my_dbt_assets(context: AssetExecutionContext, dbt: DbtCliResource, config: MyDbtConfig):     dbt_build_args = ["build"]     if config.full_refresh:         dbt_build_args += ["--full-refresh"]      yield from dbt.cli(dbt_build_args, context=context).stream()

In this code snippet, the

my_dbt_assets

function checks if

full_refresh

is set to

True

in the configuration and, if so, adds the

--full-refresh

argument to the

dbt

CLI command. To use this in a job, you would define the job with the appropriate configuration to set

full_refresh

to `True`:

python dbt_incremental_full_refresh_job = define_asset_job(     "dbt_incremental_full_refresh_job",     selection=AssetSelection(my_dbt_assets),     config=RunConfig({"my_dbt_assets": MyDbtConfig(full_refresh=True)}), )

This job, when run, will execute the

dbt

command with the

--full-refresh

option, triggering a full refresh of the incremental dbt models.

You can check out how we do it in our internal repo here: https://github.com/dagster-io/dagster-open-platform/blob/4299206068bbdc7e11e5282c17bac418aca3f91c/dagster_open_platform/assets/dbt.py#L44

Much appreciated!