Sorry ignore my explanation. It's wrong.

 https://github.com/apache/airflow/issues/8649 explains why
`schedule_interval=timedelta(days=14), start_date=...`. is not the exactly
the same as bi-weekly for an exact specified time.
It also provide an example for daily.

On Wed, Jan 20, 2021 at 9:19 PM Elad Kalif <elad...@gmail.com> wrote:

> > `schedule_interval=timedelta(days=14), start_date=...`.
>
> ash from what I've seen It doesn't give the same exact functionality
> This is what I observed:
> cron = schedule exactly on regardless of what happened with previous run
> (mostly)
> timedelta() = schedule after delta passed. However it's from end_date not
> from start_date.
> so schedule_interval=timedelta(days=14) means It will be scheduled 14 days
> from end_date or the previous run. If we consider for example that the dag
> takes 2 days to complete then the next one will be scheduled after 14 days
> from end_date (= 16 days from start_date).
>
> This exact case is actually explained really well in the first issue
> listed https://github.com/apache/airflow/issues/8649 using daily example
>
> On Wed, Jan 20, 2021 at 9:17 PM Kaxil Naik <kaxiln...@gmail.com> wrote:
>
>>
>> `schedule_interval=timedelta(days=14), start_date=...`.
>>
>>
>> That won't support every second Thursday for example
>>
>> On Wed, Jan 20, 2021 at 6:54 PM Ash Berlin-Taylor <a...@apache.org> wrote:
>>
>>> Running exactly every two weeks can be done by setting
>>> `schedule_interval=timedelta(days=14), start_date=...`.
>>>
>>> Does this do what you need Elad?
>>>
>>> On 20 January 2021 18:12:36 GMT, Elad Kalif <elad...@gmail.com> wrote:
>>>>
>>>> >> In the example of a twice-a-month dag (not sure if it you have this
>>>> use case too?) what do you expect the "data interval" (i.e. execution_date)
>>>> to be?
>>>> Yes we have this use case too. The execution date does matter because I
>>>> want it to be bi-weekly for starting specific day and time
>>>> so with the current implementation I expect to provide
>>>> start_date=datetime(2021,1,19,20,5) & schedule_interval='2 weeks'
>>>>
>>>> Currently Airflow has 'hourly', 'daily' , 'weekly' - which doesn't
>>>> allow us to set it.
>>>> So a possible solution for this specific use case could be defining:
>>>> repeat_every - integer that represents the frequency (1,2,3,... n)
>>>> unit - str that provide the "gaps" (minutes, hours, days, weeks,
>>>> months, years)
>>>> Example: bi-weekly / twice a month can be: repeat_every = 2, unit =
>>>> 'weeks'
>>>>                To get the 'hourly', 'daily' , 'weekly' functionality it
>>>> just needs to set unit=1.
>>>>
>>>> By the way this is exactly what google calendar allows to set if you
>>>> click on custom scheduling for a meeting.
>>>>
>>>> I'm still in favor of the python function approach as it should cover
>>>> all cases and provide full control for the users.
>>>>
>>>> On Wed, Jan 20, 2021 at 7:20 PM Deng Xiaodong <xd.den...@gmail.com>
>>>> wrote:
>>>>
>>>>> A quick thought (*maybe not making sense*): if *schedule_interval* accepts
>>>>> a list of values, we may support much higher complexity.
>>>>>
>>>>> For example, I may want to schedule my jobs at every days' 04:05 AND
>>>>> 02:31 , which cannot be expressed by single Cron pattern. Then I may want
>>>>> to have *schedule_interval = ["5 4 * * *", "31 2 * * *"]*.
>>>>>
>>>>> Maybe I missed something or the idea doesn't make sense. Please let me
>>>>> know.
>>>>>
>>>>>
>>>>> XD
>>>>>
>>>>> On Wed, Jan 20, 2021 at 6:09 PM Ash Berlin-Taylor <a...@apache.org>
>>>>> wrote:
>>>>>
>>>>>> Yes, we quite possibly could do this -- I'm trying to work out what
>>>>>> the needs are here.
>>>>>>
>>>>>> In the example of a twice-a-month dag (not sure if it you have this
>>>>>> use case too?) what do you expect the "data interval" (i.e. 
>>>>>> execution_date)
>>>>>> to be?
>>>>>>
>>>>>> Or for this case does it not matter?
>>>>>>
>>>>>> -ash
>>>>>>
>>>>>>
>>>>>> On Wed, 20 Jan, 2021 at 19:06, Elad Kalif <elad...@gmail.com> wrote:
>>>>>>
>>>>>> Another case that is mentioned in one of the issues is the ability to
>>>>>> schedule a bi-weekly job (equivalent of bi-weekly meeting that you can 
>>>>>> set
>>>>>> in a calendar) which is very much needed.
>>>>>>
>>>>>> Maybe this is unrealistic but I think the game changer is if it would
>>>>>> be possible to let the users define their own logic and airflow will use 
>>>>>> it
>>>>>> to schedule DAGs.
>>>>>> My thought here is - if I can define the logic in a python function
>>>>>> (regardless of what this logic is). Can't Airflow utilize it?
>>>>>>
>>>>>> On Wed, Jan 20, 2021 at 5:39 PM Ash Berlin-Taylor <a...@apache.org>
>>>>>> wrote:
>>>>>>
>>>>>>> Hi everyone,
>>>>>>>
>>>>>>> I'd like to (re)start the discussion about a new feature I'd like to
>>>>>>> add for Airflow 2.1, that I am loosely calling "improving
>>>>>>> schedule_interval" (catchy name I know!)
>>>>>>>
>>>>>>> I have two main high-level goals in mind here:
>>>>>>>
>>>>>>> 1. To reduce the confusion around execution_date (specifically the
>>>>>>> naming of the parameter!) - the whole start vs end discussion.
>>>>>>> 2. To support more complex schedules.
>>>>>>>
>>>>>>> Previous thread on this point 1 here:
>>>>>>> https://lists.apache.org/thread.html/2b12ae265795ff2e655a5161c972f5c7bbe60722a12849a0e2c5c55f%40%3Cdev.airflow.apache.org%3E,
>>>>>>> (but I'm taking a bit of a step back from that to think if there's a 
>>>>>>> bigger
>>>>>>> change we could make that encompases this)
>>>>>>>
>>>>>>>
>>>>>>> I don't yet have a concrete plan, nor implementation in mind, but
>>>>>>> I'd like to start collecting peoples "wish list" when it comes to
>>>>>>> scheduling DAGS:
>>>>>>>
>>>>>>> - What do you wish you could express natively in terms of scheduling
>>>>>>> your DAGs? (I.e. without using "hacks" such as date sensor/skip tasks at
>>>>>>> start)
>>>>>>> - What schedules do you wish you could express now, that you just
>>>>>>> can't?
>>>>>>> - Do you have good example workflows that give a good example of
>>>>>>> where you want schedule at start? Follow up question: do you also want 
>>>>>>> this
>>>>>>> to be different for different DAGs in your Airflow install?
>>>>>>>
>>>>>>>
>>>>>>> Existing issues:
>>>>>>> https://github.com/apache/airflow/issues/8649 "Add support for more
>>>>>>> than 1 cron exp per DAG"
>>>>>>> https://github.com/apache/airflow/issues/10194 "Ability to better
>>>>>>> support odd scheduling time"
>>>>>>> https://github.com/apache/airflow/issues/10449 "Dynamic Schedule
>>>>>>> Intervals"
>>>>>>> https://github.com/apache/airflow/issues/10123 "Job Schedule
>>>>>>> Interval on 2nd & 4th Tuesday"
>>>>>>>
>>>>>>> I'll start:
>>>>>>>
>>>>>>> Case1:
>>>>>>>
>>>>>>> One example that came up recently in slack was an actual astronomer
>>>>>>> wanting a DAG to run with a schedule of "@sunset"! This also brings up 
>>>>>>> the
>>>>>>> subject of "running dags at interval start or end"
>>>>>>>
>>>>>>> Case2:
>>>>>>>
>>>>>>> I'd like to be able to run a daily process at the end of each week
>>>>>>> day. I.e. to process data for Monday..Friday. The naive way of 
>>>>>>> expressing
>>>>>>> this would be "0 0 * * MON-FRI", but that means that the dags would run
>>>>>>> Tuesday, Wednesday ,Thursday ,Friday, Monday  -- meaning Friday's data
>>>>>>> isn't processed until Monday!
>>>>>>>
>>>>>>> My thoughts on this is we need to separate schedule interval (when
>>>>>>> to run a task) from the period duration (i.e look at one days worth of
>>>>>>> data).
>>>>>>>
>>>>>>> Thanks,
>>>>>>> Ash
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>

Reply via email to