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This repository has been archived by the owner on Mar 30, 2020. It is now read-only.
Canceling the pipeline using "stop job" feature on Dataflow UI, terminates the master. However, if there are any instances running (vms with name ggp*), they are not shut down, meaning, these instances are like zombie vms that user has to manually turn off.
This is clearly a bug.
Any thoughts on this?
Thank you,
Mahesh
The text was updated successfully, but these errors were encountered:
And about this being a bug... Dataflow has no way of knowing if the user code that it runs is launching a separate VM, or how it's tagging that VM. That's up to the Dataflow user. The way that Dockerflow makes it possible to cancel VMs launched by Dataflow is to add the run-id to the operations for the VMs.
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Hi @jbingham -
Canceling the pipeline using "stop job" feature on Dataflow UI, terminates the master. However, if there are any instances running (vms with name ggp*), they are not shut down, meaning, these instances are like zombie vms that user has to manually turn off.
This is clearly a bug.
Any thoughts on this?
Thank you,
Mahesh
The text was updated successfully, but these errors were encountered: