<@ULVA73B9P> I'm deploying a task runner, when i d...
# ask-marvin
j
@Marvin I'm deploying a task runner, when i directly start flows on the task runner they start immeadiately, when i trigger them from the prefect cloud interface they take between 5 and 50 minutes to start, why?
m
The delay you're experiencing when triggering flows from the Prefect Cloud interface, compared to direct execution on the task runner, could be due to several factors: 1. Concurrency and Priority Settings: Prefect uses work queues to manage flow execution. If your work queue has a concurrency limit or if there are other flows with higher priority, this can cause delays. You can find more about how priority and concurrency affect flow execution here. 2. Server Performance Issues: There have been reports of performance issues with Prefect server installations, particularly relating to database communication timeouts. This could potentially cause delays in flow execution from the cloud interface. More details can be found in this GitHub issue. 3. Network or API Latency: Delays can also be caused by network issues or latency in API communication between your task runner and Prefect Cloud. To resolve these issues, you might want to: - Check your work queue settings and adjust concurrency limits or priorities. - Monitor your server performance and database communication to identify any bottlenecks. - Ensure that your network settings allow proper communication between your task runner and Prefect Cloud. If these suggestions don't resolve the issue, you might want to reach out to Prefect support for more targeted assistance.
j
I can see the job get queued on my worker but it does not start.
@Marvin I can see the job get queued on my worker but it does not start.
m
If your flow run is queued but not starting, here are a few possible explanations based on the information gathered: 1. Concurrency Limits: Your worker or work pool might have a concurrency limit that is preventing the flow from starting. Ensure that the concurrency settings in your work queue or work pool are not limiting the execution. You can read more about concurrency and priority settings here. 2. Work Queue Configuration: If you're using a work queue, ensure that it is properly configured and there are no issues with how the work queue is being polled by the worker. There might be a need to specify a work pool explicitly to respect concurrency limits, as noted in this GitHub issue. 3. Agent and Worker Communication: There might be issues with the communication between the Prefect server, agent, and worker. Make sure that the agent is properly connected and able to pick up tasks from the queue. 4. Scheduler Issues: If you're using a scheduled flow, ensure that the scheduler is functioning correctly. There have been issues reported where the Prefect server does not schedule new flow runs as expected, especially in older versions. You can refer to this issue for more context. If these suggestions don't resolve your issue, consider checking the logs for any errors or warnings that might provide more insights into why the flow isn't starting. Additionally, reaching out to Prefect support or community forums might help to get more targeted assistance.
n
hi @Jonathan Park > I can see the job get queued on my worker but it does not start. is it possible you have some old runs in a non-terminal state hogging concurrency slots?