def scope_dbt_rpc_config_disable_assets():
# start_marker_dbt_rpc_config_disable_assets
config = {"yield_materializations": False}
from dagster_dbt import dbt_rpc_run
custom_solid = dbt_rpc_run.configured(config, name="custom_solid")
def scope_dbt_rpc_config_exclude_models():
# start_marker_dbt_rpc_config_exclude_models
config = {"exclude": ["my_dbt_model+", "path.to.models", "tag:nightly"]}
from dagster_dbt import dbt_rpc_run
custom_solid = dbt_rpc_run.configured(config, name="custom_solid")
def scope_dbt_rpc_and_wait_config_polling_interval():
# start_marker_dbt_rpc_and_wait_config_polling_interval
config = {"interval": 3} # Poll the dbt RPC server every 3 seconds.
from dagster_dbt import dbt_rpc_run
custom_solid = dbt_rpc_run.configured(config, name="custom_solid")
def scope_dbt_rpc_run_specific_models():
from dagster_dbt import dbt_rpc_resource
my_remote_rpc = dbt_rpc_resource.configured({
"host": "80.80.80.80",
"port": 8080
})
# start_marker_dbt_rpc_run_specific_models
from dagster import ModeDefinition, pipeline
from dagster_dbt import dbt_rpc_run
run_staging_models = dbt_rpc_run.configured(
{"models": ["tag:staging"]},
name="run_staging_models",
)
@pipeline(
mode_defs=[ModeDefinition(resource_defs={"dbt_rpc": my_remote_rpc})])
def my_dbt_pipeline():
run_staging_models()
