Comments (4)
@acs in that scenario, why do you need Arthur? I guess airflow is able to execute the jobs and there will be options to track them so that each job can inform about its status.
from grimoirelab-kingarthur.
You need arthur to execute the jobs. The idea is that airflow asks arthur to execute jobs using its REST API. Airflow can not execute jobs in a distributed fashion by itself.
from grimoirelab-kingarthur.
This is out of the scope of Arthur. Arthur is the scheduler of Perceval tasks and that's not going to change. If at some point we decide we need a different engine for scheduling all GrimoireLab tasks, we will deprecate this tool and we'll create those tool needed for that purpose. I don't see a good reason to mutate tools from one thing to another.
Thanks for the pointer, though.
from grimoirelab-kingarthur.
Thanks for the explanation @sduenas. Yes, I was thinking in scheduling for all GrimoireLab tasks, not just perceval ones. For example, all the scheduling done in mordred. IMHO, if you decide to use a scheduling tool for GrimoireLab, you will need arthur for task registering and execution, which I envision must be the core features of arthur.
Just my 2 cents!
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Related Issues (20)
- pyflake errors: variables assigned to but never used
- [server] Return job_number field when querying tasks HOT 1
- Status page
- Does Arthur enrich the data? HOT 2
- Guarding against result.summary being unset
- Human readable job ids HOT 1
- Use Perceval summary HOT 2
- Allow to run again a failed task HOT 4
- Refactor job resuming
- Expose jobs to the REST API HOT 2
- Find a better schema for job ids
- Define better log messages
- Log messages should be printed to the stdout/stderr when --no-daemon is set
- Remove `arthur` script
- Redefine default queues
- Persistent tasks HOT 2
- Update depedencies HOT 1
- Failed tasks on 'create' queue are rescheduled into 'update' HOT 2
- Add job_number identifier to the Job meta field HOT 1
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