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.Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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