Ponraj
07/18/2024, 12:47 PMMarvin
07/18/2024, 12:48 PMtask_run_id
. Here are some checkpoints:
- Cancellation is robust but may face issues if the infrastructure block for the flow run is removed.
- If the task is in the Submitted
state, you may halt its execution, but issues can prevent perfect enforcement.
2. Prefect GitHub Issues:
The community has raised related issues about tasks hanging, especially with async tasks (jaydebeapi
), causing the Python process to stall until it's manually killed. This might be related to your issue of a task being stuck without logs.
### Steps to Terminate a Task:
1. Identify the Task's task_run_id
:
- You can use prefect
CLI or the Prefect UI to locate the task_run_id
.
2. Use the Prefect CLI to Cancel the Task:
- Once you have the task_run_id
, you can terminate the task using the CLI:
shell
prefect task-run cancel <task_run_id>
### Examples:
#### In Python:
You might want to create a small script to cancel a task dynamically using the Prefect client:
python
from prefect.client import get_client
async def cancel_task_run(task_run_id: str):
async with get_client() as client:
await client.update_task_run(task_run_id, state="Cancelled")
# Example usage
import asyncio
task_run_id = "your-task-run-id"
asyncio.run(cancel_task_run(task_run_id))
#### CLI (Command-Line Interface):
Directly from your terminal:
shell
prefect task-run cancel <your-task-run-id>
### Further Information:
- Prefect Documentation on Task Runners: Link
- Prefect Blog on Deploying Task Queues: Link
- GitHub Issues related to task hang: Issues
If you need more granular control or further examples, you can refer to the Prefect documentation or GitHub discussions linked above. This should guide you on effectively terminating a hanging task.Ponraj
07/18/2024, 3:57 PMMarvin
07/18/2024, 3:58 PMprefect task-run cancel
command.
Instead, you'll want to cancel the flow run that contains the stuck task. Just ensure that you have Prefect's experimental features enabled and use the CLI or Python client accordingly.
### Steps to Cancel a Flow Run via CLI:
1. Enable Enhanced Cancellation (Optional):
bash
prefect config set PREFECT_EXPERIMENTAL_ENABLE_ENHANCED_CANCELLATION=True
2. Cancel the Flow Run:
You need the flow_run_id
for the flow containing the task. Once you have it:
bash
prefect flow-run cancel <flow_run_id>
### Example for Prefect CLI:
bash
prefect flow-run cancel <your-flow-run-id>
### Using Prefect Python Client:
python
from prefect.client import get_client
async def cancel_flow_run(flow_run_id: str):
async with get_client() as client:
await client.update_flow_run(flow_run_id, state="Cancelled")
# Example usage
import asyncio
flow_run_id = "your-flow-run-id"
asyncio.run(cancel_flow_run(flow_run_id))
### Reference:
- Prefect Flows Documentation: Link
- Prefect AWS Integration: Link
If you need further assistance, Prefect's Slack and GitHub channels can provide community support, as cancellation implementations may evolve with new updates.