> Have you looked into TriggerDagRunOperator [@Tao], I am aware of it, and
in my opinion, it's same if you use an operator or invoking trigger from
the command line.

@Ash, I agree that this is not an easy task and it requires a lot of
effort. As I said previously; *first we have to decide whether we need this
feature in Airflow or not?*

Thanks

On Thu, Jan 31, 2019 at 4:44 PM Ash Berlin-Taylor <[email protected]> wrote:

> >  wouldn't it be easy if we have some custom scheduler support in Airflow
>
> Don't underestimate JUST how much work this would actually involve.
>
> Right now given the solutions presented, and the ability to trigger DAGs
> in Airflow via the existing API I am not convinced that Airflow needs the
> added complexity this change would involve.
>
> -ash
>
>
> > On 31 Jan 2019, at 21:04, abhishek sharma <[email protected]>
> wrote:
> >
> > Thanks, Brian & Ben.
> >
> > So, you guys also have such workflows and through Sensors or running DAGs
> > frequently things are working out for your guys. In my case, I am running
> > an application which works as a 'custom scheduler' and triggers DAGs
> based
> > on event occurrence.
> >
> > Question to you guys, wouldn't it be easy if we have some custom
> scheduler
> > support in Airflow? Also, I think that would open more possibilities for
> > scheduling  DAGs.
> >
> > Thanks, {{Abhishek}}
> >
> > On Thu, Jan 31, 2019 at 3:25 PM Ben Tallman <[email protected]> wrote:
> >
> >> To solve that exact problem, we ran a DAG on a frequent schedule, that
> >> basically acted as a scheduler. It used a shell script to kick off other
> >> DAGS. Possibly a custom scheduler would be a more elegant solution.
> >>
> >> Thanks,
> >> Ben
> >>
> >> --
> >> Ben Tallman - 503.680.5709
> >>
> >>
> >> On Thu, Jan 31, 2019 at 11:03 AM abhishek sharma <
> >> [email protected]>
> >> wrote:
> >>
> >>> Hi Ben,
> >>>
> >>> Just copying my comment form ticket.
> >>>
> >>> I think current airflow scheduler schedule DAGs only on time-basis
> (based
> >>> on cron schedule string). ***Is it correct understanding?*
> >>>
> >>> How to approach a scenario where I want to trigger a DAG based on some
> >>> event which is not so predictable/regular on time basis?
> >>>
> >>>   - One is to use sensor and DAG flow will start by first running a
> >> sensor
> >>>   task for checking an event and when an event happened actual
> >> processing
> >>> get
> >>>   a start.
> >>>   - Second, is to have a DAG with None schedule and it gets triggered
> by
> >>>   some other application or utility which checks for an event
> >> occurrence .
> >>>
> >>> If your most of the flow(DAGs) are suppose to run on this logic, then
> >>> sensor doesn't make sense and hence left with the second approach only,
> >>> which is nothing but a custom scheduling of DAGs.  ****Is it agreeable
> >> use
> >>> case for the custom scheduler?*
> >>>
> >>> Thanks, {{Abhishek}}
> >>>
> >>>
> >>>
> >>> On Thu, Jan 31, 2019 at 11:53 AM Ben Tallman <[email protected]>
> wrote:
> >>>
> >>>> Can you explain a bit more what you are thinking for a custom
> >> scheduler?
> >>>> It's been awhile, but we added support for cron schedules without
> >>> backfill
> >>>> awhile back, so I'm wondering what you are thinking of adding with
> >> this?
> >>>>
> >>>> Thanks,
> >>>> Ben
> >>>>
> >>>> --
> >>>> Ben Tallman - 503.680.5709
> >>>>
> >>>>
> >>>> On Thu, Jan 31, 2019 at 8:29 AM abhishek sharma <
> >>>> [email protected]>
> >>>> wrote:
> >>>>
> >>>>> Hi All,
> >>>>>
> >>>>> Created a ticket(https://issues.apache.org/jira/browse/AIRFLOW-3775)
> >>> for
> >>>>> supporting custom scheduler in Airflow.
> >>>>>
> >>>>> The idea is to have a scheduler base class which can be extended for
> >>>>> writing a custom scheduler. The logic of custom scheduling is user
> >>>>> specific, and at the DAGs task level we can mention the scheduler
> >> type,
> >>>> and
> >>>>> that scheduler will be used for starting a task. [Naive Idea]
> >>>>>
> >>>>> Can we please discuss whether we need such functionality in Airflow
> >> or
> >>>> not
> >>>>> and If yes then we will proceed with the design and implementation.
> >>>>>
> >>>>> Thanks
> >>>>> Abhishek Sharma
> >>>>>
> >>>>
> >>>
> >>
>
>

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