Airflow - setup and teardown

 

"""
Example DAG demonstrating the usage of setup and teardown tasks.
"""from __future__ import annotationsimport pendulumfrom airflow.providers.standard.operators.bash import BashOperator
from airflow.sdk import DAG, TaskGroupwith DAG(dag_id='example_setup_teardown',schedule=None,start_date=pendulum.datetime(2021, 1, 1, tz='UTC'),catchup=False,tags=['example']
) as dag:root_setup = BashOperator(task_id='root_setup', bash_command="echo 'Hello from root_setup'").as_setup()root_normal = BashOperator(task_id='normal', bash_command="echo 'I am just a normal task'")root_teardown = BashOperator(task_id='root_teardown',bash_command="echo 'Goodbye from root_teardown'").as_teardown(setups=root_setup)root_setup >> root_normal >> root_teardownwith TaskGroup('section_1') as section_1:inner_setup = BashOperator(task_id='taskgroup_setup',bash_command="echo 'Hello from taskgroup_setup'").as_setup()inner_normal = BashOperator(task_id='normal', bash_command="echo 'I am just a normal task'")inner_teardown = BashOperator(task_id='taskgroup_teardown',bash_command="echo 'Hello from taskgroup_teardown'").as_teardown(setups=inner_setup)inner_setup >> inner_normal >> inner_teardownroot_normal >> section_1

 

Your code uses Airflow’s Setup & Teardown tasks, a feature introduced in Airflow 2.5+ to make resource-management patterns first-class citizens in DAGs.

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✅ 1. What are Setup and Teardown tasks?

In Airflow, setup tasks run before dependent tasks to prepare resources.
Teardown tasks run after dependent tasks to clean up resources.

Examples:

• Setup: create temp directory, open connection, prepare environment

• Normal tasks: the main DAG work

• Teardown: delete temp files, close connection, notify shutdown

Importantly:

✔ Teardown tasks always try to run

—even if upstream tasks fail—
because teardown is meant for cleanup.

✔ Setup and teardown create an implicit lifecycle

Airflow ensures the order and failure handling are correct even once the DAG gets complex.

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🔧 2. What .as_setup() and .as_teardown() do

.as_setup()

Marks a task as a “setup task”.
Airflow registers it internally so teardown tasks know to wait for it and respect its lifecycle.

.as_teardown(setups=...)

Marks the task as a teardown task, and links it to the setup task(s).

It means:

• Teardown will run after all tasks that depend on the setup

• Teardown will run even if those tasks fail

• Airflow guarantees teardown always runs exactly once per setup

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🗂️ 3. Walkthrough of Your DAG

Let’s go piece by piece.

---

🌳 4. Root-level setup, normal, teardown

root_setup = BashOperator(...).as_setup()
root_normal = BashOperator(...)
root_teardown = BashOperator(...).as_teardown(setups=root_setup)root_setup >> root_normal >> root_teardown

✔ Execution flow

1. root_setup runs first
   Output: “Hello from root_setup”

2. root_normal runs
   Output: “I am just a normal task”

3. root_teardown runs
   Output: “Goodbye from root_teardown”

✔ Behavior guarantees:

• root_teardown always runs even if root_normal fails

• It runs only after:

  • root_setup was done

  • All tasks that depend on root_setup (here: root_normal) have finished

So Airflow guarantees:

root_setup → root_normal → root_teardown

Regardless of upstream failures.

---

📦 5. TaskGroup setup, normal, teardown

Inside TaskGroup:

inner_setup = BashOperator(...).as_setup()
inner_normal = BashOperator(...)
inner_teardown = BashOperator(...).as_teardown(setups=inner_setup)inner_setup >> inner_normal >> inner_teardown

This is the same lifecycle but scoped inside the group:

✔ Life cycle inside TaskGroup

taskgroup_setup → normal → taskgroup_teardown

✔ Setup/Teardown in a group does NOT interact with the root-level ones

Each group manages its own setup/teardown boundary.

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🔗 6. Cross-level dependency

root_normal >> section_1

This means:

• All tasks in section_1 start after root_normal finishes.

So overall order becomes:

Important subtlety:

root_teardown does NOT wait for taskgroup_teardown

Because root_teardown is only linked to root_setup, not to inner setup.

This is intentional:
Setup/teardown relationships are scoped and isolated.

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📌 7. Summary of Setup/Teardown Behavior in Your DAG

Root setup/teardown pair:

• root_setup prepares something

• root_teardown cleans up that same thing

• It runs after everything depending on root_setup

TaskGroup setup/teardown pair:

• taskgroup_setup prepares something for the group

• taskgroup_teardown cleans up

• It runs even if inner_normal fails

Independent life cycles:

• Root setup/teardown does not control the TaskGroup

• TaskGroup setup/teardown does not affect root teardown

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🤓 8. Why use setup & teardown?

They make DAGs safer and more reliable:

• Cleanup is guaranteed

• Cleanup runs even if something crashes

• DAGs become easier to reason about

• Teardown tasks never accidentally run too early

• Lifecycle boundaries are explicit and enforced

This is especially useful in:

• Managing temporary clusters / VMs

• Allocating / releasing cloud resources

• Creating / deleting temp directories or batch environments

• Opening / closing pools or exclusive resources