I am running in to below problem , will it be acheived by time table concepts . i have same dag which should satisfy the below schedule intervals schedule interval = '30 1,4,7,10,13,16,19,22 * * *' & '00 3,6,12,15,18,21,00 * * *' , Please help and guide.
@@Astronomer Hi , we are in process of changing a daily schedule to 90 mins frequency dag and expectation of dag to run at 00:00, 01:30 , 03:00 so on and also another new dag which is of same 90 mins frequency should run at 00:20, 01:50, 03:10 etc.., point is if i have hard coded start date as future date for example today is 01/10 i will hard code as 01/11 (2024/01/11,00,00) any future change is not impacting the start date schedule , having said we have advised to research more not to hard code start date .FYI we are using timedelta(minutes=90) in schedule interval attribute. if we use current date logic , during deployment time ,(deployment time > start date time) it is executing immediatley , how we can over come this , please help.
I have a question, can you show me like I have a DAG trained model which done in deep learning technique. Now how can I integrate my model into Airflow for dag job scheduling. Can you show a demo using such model.
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Is it possible to use time tables to schedule tasks at the start of the interval now instead of the end ?
I am running in to below problem , will it be acheived by time table concepts . i have same dag which should satisfy the below schedule intervals
schedule interval = '30 1,4,7,10,13,16,19,22 * * *' & '00 3,6,12,15,18,21,00 * * *' , Please help and guide.
Would you mind sharing info on what type of scheduling interval you'd like to achieve? Not sure what it is based on that string unfortunately!
@@Astronomer Hi , we are in process of changing a daily schedule to 90 mins frequency dag and expectation of dag to run at 00:00, 01:30 , 03:00 so on and also another new dag which is of same 90 mins frequency should run at
00:20, 01:50, 03:10 etc.., point is if i have hard coded start date as future date for example today is 01/10 i will hard code as 01/11 (2024/01/11,00,00) any future change is not impacting the start date schedule , having said we have advised to research more not to hard code start date .FYI we are using timedelta(minutes=90) in schedule interval attribute.
if we use current date logic , during deployment time ,(deployment time > start date time) it is executing immediatley , how we can over come this , please help.
Is there any option available in airflow ui to auto trigger.
I have a question, can you show me like I have a DAG trained model which done in deep learning technique. Now how can I integrate my model into Airflow for dag job scheduling. Can you show a demo using such model.