Created
September 7, 2020 12:00
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List Azure Data Factory Pipelines and Run an ADF PIpeline using a Credential-based Service Principal Authentication
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from azure.common.credentials import ServicePrincipalCredentials | |
from azure.mgmt.datafactory import DataFactoryManagementClient | |
from azure.mgmt.datafactory.models import * | |
subscription_id = '8d1dc324-4f8a-4be5-ae74-310e2f5596a5' | |
credentials = ServicePrincipalCredentials(client_id='dcf2637e-8f81-4bbb-a72e-ac2f291e328b', secret='<< secret >>', tenant='874cd0d6-f21a-4c6e-8239-51287476f635') | |
adf_client = DataFactoryManagementClient(credentials, subscription_id) | |
pipelines = adf_client.pipelines.list_by_factory("schneider-test", "Schneider-Test-Data-Factory") | |
for p in pipelines: | |
p: PipelineResource | |
adf_client.pipelines.create_run("schneider-test", "Schneider-Test-Data-Factory", pipeline_name=p.name) | |
print(f"Executing pipeline {p.name}") | |
break |
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