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Handle fail_stop
/ non teardown tasks in TASK SDK
#44951
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area:task-execution-interface-aip72
AIP-72: Task Execution Interface (TEI) aka Task SDK
area:task-sdk
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amoghrajesh
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area:task-execution-interface-aip72
AIP-72: Task Execution Interface (TEI) aka Task SDK
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Dec 16, 2024
kaxil
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Dec 18, 2024
…lowSensorTimeout` (#44954) related: #44414 We already have support for handling terminal states from the task execution side as well as the task SDK client side. (almost) and failed state is part of the terminal state. This PR extends the task runner's run function to handle cases when we have to fail a task: `AirflowFailException, AirflowSensorTimeout`. It is functionally very similar to #44786 As part of failing a task, multiple other things also needs to be done like: - Callbacks: which will eventually be converted to teardown tasks - Retries: Handled in #44351 - unmapping TIs: #44351 - Handling task history: will be handled by #44952 - Handling downstream tasks and non teardown tasks: will be handled by #44951 ### Testing performed #### End to End with Postman 1. Run airflow with breeze and run any DAG ![image](https://github.com/user-attachments/assets/fafc89ea-4e28-4802-912b-d72bf401d94b) 2. Login to metadata DB and get the "id" for your task instance from TI table ![image](https://github.com/user-attachments/assets/75440f0f-f62a-4277-a2e6-cb78bd666dd4) 3. Send a request to `fail` your task ![image](https://github.com/user-attachments/assets/5991e944-f416-4b79-9954-15f1a6ebdd79) Or using curl: ``` curl --location --request PATCH 'http://localhost:29091/execution/task-instances/0193cec2-f46b-7348-9c27-9869d835dc7b/state' \ --header 'Content-Type: application/json' \ --data '{ "state": "failed", "end_date": "2024-10-31T12:00:00Z" }' ``` 4. Refresh back the Airflow UI to see that the task is in failed state. ![image](https://github.com/user-attachments/assets/bb866dc6-e1d6-435e-abe4-2d04c97280ad)
LefterisXefteris
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that referenced
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Jan 5, 2025
…lowSensorTimeout` (apache#44954) related: apache#44414 We already have support for handling terminal states from the task execution side as well as the task SDK client side. (almost) and failed state is part of the terminal state. This PR extends the task runner's run function to handle cases when we have to fail a task: `AirflowFailException, AirflowSensorTimeout`. It is functionally very similar to apache#44786 As part of failing a task, multiple other things also needs to be done like: - Callbacks: which will eventually be converted to teardown tasks - Retries: Handled in apache#44351 - unmapping TIs: apache#44351 - Handling task history: will be handled by apache#44952 - Handling downstream tasks and non teardown tasks: will be handled by apache#44951 ### Testing performed #### End to End with Postman 1. Run airflow with breeze and run any DAG ![image](https://github.com/user-attachments/assets/fafc89ea-4e28-4802-912b-d72bf401d94b) 2. Login to metadata DB and get the "id" for your task instance from TI table ![image](https://github.com/user-attachments/assets/75440f0f-f62a-4277-a2e6-cb78bd666dd4) 3. Send a request to `fail` your task ![image](https://github.com/user-attachments/assets/5991e944-f416-4b79-9954-15f1a6ebdd79) Or using curl: ``` curl --location --request PATCH 'http://localhost:29091/execution/task-instances/0193cec2-f46b-7348-9c27-9869d835dc7b/state' \ --header 'Content-Type: application/json' \ --data '{ "state": "failed", "end_date": "2024-10-31T12:00:00Z" }' ``` 4. Refresh back the Airflow UI to see that the task is in failed state. ![image](https://github.com/user-attachments/assets/bb866dc6-e1d6-435e-abe4-2d04c97280ad)
agupta01
pushed a commit
to agupta01/airflow
that referenced
this issue
Jan 6, 2025
…lowSensorTimeout` (apache#44954) related: apache#44414 We already have support for handling terminal states from the task execution side as well as the task SDK client side. (almost) and failed state is part of the terminal state. This PR extends the task runner's run function to handle cases when we have to fail a task: `AirflowFailException, AirflowSensorTimeout`. It is functionally very similar to apache#44786 As part of failing a task, multiple other things also needs to be done like: - Callbacks: which will eventually be converted to teardown tasks - Retries: Handled in apache#44351 - unmapping TIs: apache#44351 - Handling task history: will be handled by apache#44952 - Handling downstream tasks and non teardown tasks: will be handled by apache#44951 ### Testing performed #### End to End with Postman 1. Run airflow with breeze and run any DAG ![image](https://github.com/user-attachments/assets/fafc89ea-4e28-4802-912b-d72bf401d94b) 2. Login to metadata DB and get the "id" for your task instance from TI table ![image](https://github.com/user-attachments/assets/75440f0f-f62a-4277-a2e6-cb78bd666dd4) 3. Send a request to `fail` your task ![image](https://github.com/user-attachments/assets/5991e944-f416-4b79-9954-15f1a6ebdd79) Or using curl: ``` curl --location --request PATCH 'http://localhost:29091/execution/task-instances/0193cec2-f46b-7348-9c27-9869d835dc7b/state' \ --header 'Content-Type: application/json' \ --data '{ "state": "failed", "end_date": "2024-10-31T12:00:00Z" }' ``` 4. Refresh back the Airflow UI to see that the task is in failed state. ![image](https://github.com/user-attachments/assets/bb866dc6-e1d6-435e-abe4-2d04c97280ad)
Ths is still pending, right @amoghrajesh ? Or is this one already complete? |
Yeah this is still pending and we are waiting on #45327 to get this one in. |
just merged #45327 |
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Labels
area:task-execution-interface-aip72
AIP-72: Task Execution Interface (TEI) aka Task SDK
area:task-sdk
Body
Handle the part where we stop all remaining tasks for while marking a task as failed.
Usage:
airflow/airflow/models/taskinstance.py
Lines 3086 to 3087 in aaf29ee
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