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From the below link, I understand using Python SDK, we can create Pipeline and run it.

https://learn.microsoft.com/en-us/azure/data-factory/quickstart-create-data-factory-python

But I have tried to pass data flow parameters in parameters={} in create_run function and it is not working. (Looks like it is taking pipeline parameters and not data flow parameters)

Any example/ details would help!!

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  • Can you show us your code? Commented Feb 9, 2021 at 1:27
  • credentials = UserPassCredentials('userid','pwd') adf_client = DataFactoryManagementClient(credentials, subscription_id) df = adf_client.factories.get(rg_name, df_name) p_name='DATA_STAGE' run_response = adf_client.pipelines.create_run(rg_name, df_name, p_name, parameters={"Table_name":"FILE_INFO","Target_Query":"select * from schema1.FILE_INFO where cast(adf_create_date as date) in ('2020-12-17','2020-12-16') ","Application_name":"ACAL"}) run_response.run_id pipeline_run = adf_client.pipeline_runs.get(rg_name, df_name, run_response.run_id) print(pipeline_run.status) Commented Feb 16, 2021 at 22:57

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As far as I know, there is no direct way to do this. As a workaround, you can create pipeline parameters then pass them to Data Flow. Something like this:

enter image description here

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Thanks Steve. Yes that worked. I have created a pipeline parameter and passed that parameter to data flow.

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