rithy
12/19/2024, 4:10 PMMarvin
12/19/2024, 4:10 PMpip install prefect prefect-dbt
2. Creating a dbt Core operation block:
- First, determine the dbt commands you wish to execute.
- Create a script to define and save a dbt CLI profile and a dbt Core operation block:
python
from prefect_dbt.cli import DbtCliProfile, DbtCoreOperation
# Define your dbt CLI profile
dbt_cli_profile = DbtCliProfile(
name="PROFILE-NAME",
target="TARGET-NAME",
target_configs={"schema": "your_schema_name", "credentials": "your_credentials"}
)
dbt_cli_profile.save("DBT-CLI-PROFILE-BLOCK-NAME")
# Define the dbt Core Operation with the commands you want to run
dbt_core_operation = DbtCoreOperation(
commands=["dbt run", "dbt test"], # Placeholder for actual commands
dbt_cli_profile=dbt_cli_profile,
overwrite_profiles=True,
)
dbt_core_operation.save("DBT-CORE-OPERATION-BLOCK-NAME")
3. Running the block:
Once saved, you can invoke this configuration in your Prefect flows, executing commands as needed.
For detailed guidance and examples, refer to the documentation I've gathered here:
- Prefect 2.x dbt integration here.
- Prefect 3.x dbt integration here.
I hope this helps! Managing configurations and blocks can feel like playing an elaborate game of Tetris, but once everything fits, it’s quite satisfying.