fix: incorrect planner state after job completion #331
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Description
After a job is executed, job context needs to do proper cleanup. In this bug, previous job execution did a scale_in, therefore, demand_data reflected that in its scale_out attribute, set to false. That means that if we want to run the same job again, planner would try to do a scale_in resulting in errors. Bug was fixed by properly resetting demand_data attribute from the job context.
Type of Change
Checklist