CreateRun
Create a Pipeline run from an Azure Data Factory.
Launch an Azure DataFactory pipeline from Kestra. Data Factory contains a series of interconnected systems that provide a complete end-to-end platform for data engineers.
type: "io.kestra.plugin.azure.datafactory.CreateRun"id: azure_datafactory_create_run
namespace: company.team
tasks:
- id: create_run
type: io.kestra.plugin.azure.datafactory.CreateRun
factoryName: exampleFactoryName
pipelineName: examplePipeline
resourceGroupName: exampleResourceGroup
subscriptionId: 12345678-1234-1234-1234-12345678abc
tenantId: "{{ secret('DATAFACTORY_TENANT_ID') }}"
clientId: "{{ secret('DATAFACTORY_CLIENT_ID') }}"
clientSecret: "{{ secret('DATAFACTORY_CLIENT_SECRET') }}"
Subscription ID
Tenant ID
{
"maxDuration": "PT1H",
"interval": "PT5S"
}Check the frequency configuration.
Client ID
Client ID of the Azure service principal. If you don't have a service principal, refer to create a service principal with Azure CLI.
Client Secret
Service principal client secret. The tenantId, clientId and clientSecret of the service principal are required for this credential to acquire an access token.
Factory name
{}Pipeline parameters.
PEM Certificate
Your stored PEM certificate.
The tenantId, clientId and clientCertificate of the service principal are required for this credential to acquire an access token.
Pipeline name
Resource Group name
trueWait for the end of the run.
Allowing to capture job status & logs.
Run ID
The ID of the pipeline run created in Azure Data Factory
uriURI of a kestra internal storage file containing the activities and their inputs/outputs.
PT5SdurationFrequency at which Kestra checks if the pipeline has finished.
PT1HdurationMaximum duration of the task until timing out the task.