Fabien Punin
01/25/2025, 11:27 AMMarvin
01/25/2025, 11:28 AMsh
prefect concurrency-limit delete --tag <tag_name>
You can also use the Prefect API to manage concurrency limits programmatically. Refer to the Prefect concurrency limits documentation for more details.
2. Handle Flow Interruptions: Ensure that your flow and task logic include mechanisms for handling interruptions gracefully. This might involve using try-except blocks to catch exceptions and release resources or limits if an error occurs.
3. Monitor and Debug: Regularly monitor your flows and tasks to identify any patterns or specific tasks that frequently cause interruptions. Debugging these areas might prevent future issues.
4. Check for Known Issues: There are known issues related to concurrency slots not being released properly when tasks are interrupted or flow is deleted. You can track the progress or workarounds for such issues on GitHub, like this issue.
By implementing these strategies, you can mitigate the impact of concurrency limits not being released during interruptions and ensure smoother operation of your Prefect flows.Fabien Punin
01/25/2025, 11:43 AMMarvin
01/25/2025, 11:44 AMon_crashed_hooks
. These hooks allow you to perform actions right before the flow is effectively interrupted, such as clearing concurrency limits.
Here's a basic example of how you might set up a hook in your flow:
python
from prefect import flow, get_client
async def clear_concurrency_limits():
async with get_client() as client:
# Replace 'your_tag' with the actual tag used for your concurrency limit
await client.delete_concurrency_limit(tag='your_tag')
@flow(on_crashed_hooks=[clear_concurrency_limits])
def my_flow():
# Your flow logic here
pass
In this setup, the clear_concurrency_limits
function will be called if the flow crashes, allowing you to clean up any concurrency limits that might block subsequent runs. This relies on the on_crashed_hooks
feature, which you can find in the Prefect source code.
For more details on concurrency limits and handling flow states, refer to the Prefect documentation.Fabien Punin
01/25/2025, 8:38 PMMarvin
01/25/2025, 8:38 PMPrefectClient
class from the prefect.client.orchestration
module. Here's a basic example of how you might achieve this:
python
from prefect.client.orchestration import PrefectClient
async def reset_global_concurrency_limit(limit_name: str):
async with PrefectClient() as client:
# Assuming a method exists to reset slots by name
await client.reset_global_concurrency_limit(name=limit_name)
# Example usage
import asyncio
asyncio.run(reset_global_concurrency_limit("your_limit_name"))
This example assumes that a method exists within the PrefectClient
to reset global concurrency limits by name. If such a method is not directly available, you might need to explore the client methods related to concurrency limits or refer to the Prefect documentation for any updates on API capabilities.Fabien Punin
01/25/2025, 8:40 PMMarvin
01/25/2025, 8:40 PMprefect gcl create
command. You must specify a --limit
argument and can optionally specify a --slot-decay-per-second
and --disable
argument.
2. Inspecting a Concurrency Limit: Use the prefect gcl inspect
command to view the details of an existing concurrency limit.
3. Updating a Concurrency Limit: Use the prefect gcl update
command to modify existing limits, including --limit
, --slot-decay-per-second
, --enable
, and --disable
.
4. Deleting a Concurrency Limit: Use the prefect gcl delete
command to remove an existing concurrency limit.
For more detailed information and to explore all available commands and options, you can check the global concurrency limits documentation.
If you need to use these operations programmatically, consider looking into the PrefectClient
class from the prefect.client.orchestration
module, though specific methods for resetting slots might not be explicitly documented. You can explore the Prefect source code or use the CLI as a reference for implementing similar functionality.