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[dagster-airlift] Operator Migration guides
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# Operator migration guides: Migrating usage of `BashOperator` for `dbt` | ||
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In this page, we'll explain migrating an Airflow `BashOperator` that runs a `dbt` command to Dagster. | ||
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### Background | ||
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In Airflow, you might have a `BashOperator` that runs a `dbt` command. For example, you might have a task that runs `dbt run` to build your dbt models. | ||
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```python file=/integrations/airlift/operator_migration/bash_operator_dbt.py | ||
from airflow.operators.bash import BashOperator | ||
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run_dbt_model = BashOperator(task_id="build_dbt_models", bash_command=f"dbt run", dag=...) | ||
``` | ||
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### Dagster equivalent | ||
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The Dagster equivalent is to instead use the `dagster-dbt` library to run commands against your dbt project. Here would be the equivalent code in Dagster: | ||
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```python file=/integrations/airlift/operator_migration/using_dbt_assets.py | ||
from dagster_dbt import dbt_assets, DbtCliResource, DbtProject | ||
from dagster import AssetExecutionContext | ||
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project = DbtProject(project_dir="path/to/dbt_project") | ||
@dbt_assets(manifest=project.manifest_path, project=project) | ||
def my_dbt_assets(context: AssetExecutionContext, dbt: DbtCliResource): | ||
yield from dbt.cli(["run"], context=context).stream() | ||
``` | ||
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### Migrating the operator | ||
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Migrating the operator breaks down into a few steps: | ||
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1. Making the dbt project available to both your Airflow and Dagster deployments. | ||
2. Writing a `@dbt_asset`-decorated function which runs your dbt commands. | ||
3. Using `dagster-airlift` to proxy execution of the original task to Dagster. | ||
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### Step 1: Making the dbt project available & building manifest | ||
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First, you'll need to make the dbt project available to the Dagster runtime and build the manifest. | ||
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- If you're building your Dagster deployment in a monorepo alongside your dbt and Airflow projects, you can follow this guide: [Monorepo setup](/integrations/dbt/reference#deploying-a-dagster-project-with-a-dbt-project). | ||
- If you're deploying within a separate repository, you can follow this guide: [Separate repository setup](/integrations/dbt/reference#deploying-a-dbt-project-from-a-separate-git-repository). | ||
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### Step 2: Writing a `@dbt_asset`-decorated function | ||
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Once your dbt project is available, you can write a function that runs your dbt commands using the <PyObject object="dbt_assets" module="dagster_dbt"/> decorator and <PyObject object="DbtCliResource" module="dagster_dbt"/>. Most dbt CLI commands and flags are supported - to see a full guide on using `dbt_assets`, check out the [dagster-dbt guide](/integations/dbt/quickstart). | ||
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### Step 3: Using `dagster-airlift` to proxy execution | ||
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Finally, you can use `dagster-airlift` to proxy the execution of the original task to Dagster. The [dagster-airlift migration guide](/integrations/airlift/tutorial/overview) details this process. |
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docs/content/integrations/airlift/operator-migration/overview.mdx
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# Operator Migration Reference | ||
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This page contains a collection of reference materials for migrating usage of common Airflow operator types to Dagster. | ||
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## References | ||
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<ArticleList> | ||
<ArticleListItem | ||
title="Bash Operator for dbt" | ||
href="/integrations/airlift/operator-migration/bash-operator-dbt" | ||
></ArticleListItem> | ||
</ArticleList> |