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Hi Team, have built an action flow to push data to data pool. Getting status code error "409" and "runningJob":"34a865e3-f92a-491c-b05b-4e95cdb45420","message":"A job on the same target is already running. Parallel job executions are not allowed"

Check in the data ingestion that datajob, maybe it takes a lot of time to execute. Because that means that the datajob is running


Check in the data ingestion that datajob, maybe it takes a lot of time to execute. Because that means that the datajob is running

Hi Guillermo,

Have checked the data job and none of the jobs were executing while triggering the action flow. Is there any option of adding delay in the action flow between each iteration?


Hi Guillermo,

Have checked the data job and none of the jobs were executing while triggering the action flow. Is there any option of adding delay in the action flow between each iteration?

I am not aware of any option like that.

 

We had some problems with AF and datajobs and process reload, so we ended executing all datajobs in a jupyter notebook, then triggering an AF to do the final processing

 


@sree.c Could you please explain your use case what you are trying to do?

As a best design practice i feel this is antipattern to write back to Datapool using action flows.

As main purpose of action flows is to take actions outside the EMS and not within EMS.If we want to get something inside the data pool that should mostly be part of your extraction.

Not sure if there is any guidance from Celonis on this.


@sree.c Could you please explain your use case what you are trying to do?

As a best design practice i feel this is antipattern to write back to Datapool using action flows.

As main purpose of action flows is to take actions outside the EMS and not within EMS.If we want to get something inside the data pool that should mostly be part of your extraction.

Not sure if there is any guidance from Celonis on this.

Hi Ravi,

We tried to bring data from another database and push it to data pool as we were not able to establish direct data connection through data integration.

 


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