Mitch
09/29/2024, 4:35 AMMarvin
09/29/2024, 4:36 AMjob_watch_timeout_seconds
setting in the job configuration of the work pool.
This configuration ensures that if the Kubernetes job does not complete within the specified timeout period, it will be terminated.
Here's an example of how to configure this using the Prefect CLI:
1. Get the current configuration of your work pool:
prefect work-pool inspect <WORK_POOL_NAME>
2. Update the work pool configuration with the timeout setting:
prefect work-pool update <WORK_POOL_NAME> --job-variables '{"job_watch_timeout_seconds": <TIMEOUT_IN_SECONDS>}'
Replace <WORK_POOL_NAME>
with the name of your work pool and <TIMEOUT_IN_SECONDS>
with the desired timeout duration in seconds.
For more detailed information, you can refer to the Prefect documentation on Kubernetes job configuration.
If you have any other questions or need further assistance, feel free to ask!Mitch
09/29/2024, 4:38 AMMitch
09/29/2024, 4:38 AMMarvin
09/29/2024, 4:38 AMjob_watch_timeout_seconds
setting in Prefect ensures that the monitoring of a Kubernetes job does not exceed the specified timeout duration. The timeout is applied to the asynchronous process that waits for the job to transition into a completed state. Below are the key points regarding this timeout:
1. Event Monitoring: The timeout is based on observing the job's status. Specifically, Prefect monitors the job to see if it transitions into a "completed" state (success or failure) within the timeout period.
2. Timeout Trigger: If the job does not reach a completed state within the specified time, a KubernetesJobTimeoutError
is raised.
3. Behavior: This mechanism is similar to a form of liveness or readiness probe, but at the job level, ensuring that the job does not hang indefinitely.
Here is a brief look at the code segment related to this behavior:
async def wait_for_completion(self, timeout: Optional[int] = None):
...
try:
await asyncio.wait_for(self.completed(), timeout=timeout)
except asyncio.TimeoutError:
raise KubernetesJobTimeoutError("The Kubernetes job timed out.")
This snippet outlines how the job waits for completion within the provided timeout period.
For further details, you can refer directly to the Prefect Kubernetes job documentation.
If you need additional help or have more questions, feel free to ask!