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There is not a complementary method to Raptor.submit_workers() . How would the Raptor instance cancel workers (or other Tasks)?
I would like to confirm the appropriate way for the Master to cancel a Task (worker or otherwise). If this is not supported (or not normative), I need to document that somewhere.
Note that my current expectation is that the ScalemsMaster needs to outlive the Worker(s) in order to clean up (handle final task disposition and workflow state). If this just seems unfeasible, then we need to rethink how we might clean up the filesystem artifacts and metadata (bookkeeping) from the client side after receiving confirmation that the Master and Worker(s) are shut down.
The text was updated successfully, but these errors were encountered:
Update from the dev call: This is probably not a high priority issue. @andre-merzky will look into adding some API accessible to the Master. However, for the purposes of the scalems project, we can probably just shut down the Master (and, transitively, its workers) and do post hoc inspection of filesystem artifacts to determine any necessary cleanup or reconciliation of workflow state.
There is not a complementary method to Raptor.submit_workers() . How would the Raptor instance cancel workers (or other Tasks)?
I would like to confirm the appropriate way for the Master to cancel a Task (worker or otherwise). If this is not supported (or not normative), I need to document that somewhere.
Note that my current expectation is that the ScalemsMaster needs to outlive the Worker(s) in order to clean up (handle final task disposition and workflow state). If this just seems unfeasible, then we need to rethink how we might clean up the filesystem artifacts and metadata (bookkeeping) from the client side after receiving confirmation that the Master and Worker(s) are shut down.
The text was updated successfully, but these errors were encountered: