Pipelines - Create Run

POST https://management.azure.com/subscriptions/12345678-1234-1234-1234-123456789012/resourceGroups/exampleResourceGroup/providers/Microsoft.DataFactory/factories/exampleFactoryName/pipelines/examplePipeline/createRun?api-version=2018-06-01&referencePipelineRunId=

{
  "OutputBlobNameList": [
    "exampleoutput.csv"
  ]
}

import com.azure.core.management.serializer.SerializerFactory;
import com.azure.core.util.serializer.SerializerEncoding;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;

/**
 * Samples for Pipelines CreateRun.
 */
public final class Main {
    /*
     * x-ms-original-file: 2018-06-01/Pipelines_CreateRun.json
     */
    /**
     * Sample code: Pipelines_CreateRun.
     * 
     * @param manager Entry point to DataFactoryManager.
     */
    public static void pipelinesCreateRun(com.azure.resourcemanager.datafactory.DataFactoryManager manager)
        throws IOException {
        manager.pipelines().createRunWithResponse("exampleResourceGroup", "exampleFactoryName", "examplePipeline", null,
            null, null, null,
            mapOf("OutputBlobNameList", SerializerFactory.createDefaultManagementSerializerAdapter()
                .deserialize("[\"exampleoutput.csv\"]", Object.class, SerializerEncoding.JSON)),
            com.azure.core.util.Context.NONE);
    }

    // Use "Map.of" if available
    @SuppressWarnings("unchecked")
    private static <T> Map<String, T> mapOf(Object... inputs) {
        Map<String, T> map = new HashMap<>();
        for (int i = 0; i < inputs.length; i += 2) {
            String key = (String) inputs[i];
            T value = (T) inputs[i + 1];
            map.put(key, value);
        }
        return map;
    }
}

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

from azure.identity import DefaultAzureCredential

from azure.mgmt.datafactory import DataFactoryManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-datafactory
# USAGE
    python pipelines_create_run.py

    Before run the sample, please set the values of the client ID, tenant ID and client secret
    of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID,
    AZURE_CLIENT_SECRET. For more info about how to get the value, please see:
    https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal
"""


def main():
    client = DataFactoryManagementClient(
        credential=DefaultAzureCredential(),
        subscription_id="12345678-1234-1234-1234-12345678abc",
    )

    response = client.pipelines.create_run(
        resource_group_name="exampleResourceGroup",
        factory_name="exampleFactoryName",
        pipeline_name="examplePipeline",
    )
    print(response)


# x-ms-original-file: specification/datafactory/resource-manager/Microsoft.DataFactory/DataFactory/stable/2018-06-01/examples/Pipelines_CreateRun.json
if __name__ == "__main__":
    main()

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

const { DataFactoryManagementClient } = require("@azure/arm-datafactory");
const { DefaultAzureCredential } = require("@azure/identity");

/**
 * This sample demonstrates how to creates a run of a pipeline.
 *
 * @summary creates a run of a pipeline.
 * x-ms-original-file: 2018-06-01/Pipelines_CreateRun.json
 */
async function pipelinesCreateRun() {
  const credential = new DefaultAzureCredential();
  const subscriptionId = "12345678-1234-1234-1234-123456789012";
  const client = new DataFactoryManagementClient(credential, subscriptionId);
  const result = await client.pipelines.createRun(
    "exampleResourceGroup",
    "exampleFactoryName",
    "examplePipeline",
    { parameters: { OutputBlobNameList: ["exampleoutput.csv"] } },
  );
  console.log(result);
}

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

using Azure;
using Azure.ResourceManager;
using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Core.Expressions.DataFactory;
using Azure.Identity;
using Azure.ResourceManager.DataFactory.Models;
using Azure.ResourceManager.DataFactory;

// Generated from example definition: specification/datafactory/resource-manager/Microsoft.DataFactory/DataFactory/stable/2018-06-01/examples/Pipelines_CreateRun.json
// this example is just showing the usage of "Pipelines_CreateRun" operation, for the dependent resources, they will have to be created separately.

// get your azure access token, for more details of how Azure SDK get your access token, please refer to https://dotnet.territoriali.olinfo.it/en-us/dotnet/azure/sdk/authentication?tabs=command-line
TokenCredential cred = new DefaultAzureCredential();
// authenticate your client
ArmClient client = new ArmClient(cred);

// this example assumes you already have this DataFactoryPipelineResource created on azure
// for more information of creating DataFactoryPipelineResource, please refer to the document of DataFactoryPipelineResource
string subscriptionId = "12345678-1234-1234-1234-12345678abc";
string resourceGroupName = "exampleResourceGroup";
string factoryName = "exampleFactoryName";
string pipelineName = "examplePipeline";
ResourceIdentifier dataFactoryPipelineResourceId = DataFactoryPipelineResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, factoryName, pipelineName);
DataFactoryPipelineResource dataFactoryPipeline = client.GetDataFactoryPipelineResource(dataFactoryPipelineResourceId);

// invoke the operation
IDictionary<string, BinaryData> parameterValueSpecification = new Dictionary<string, BinaryData>
{
    ["OutputBlobNameList"] = BinaryData.FromObjectAsJson(new object[]
{
"exampleoutput.csv"
})
};
string referencePipelineRunId = null;
PipelineCreateRunResult result = await dataFactoryPipeline.CreateRunAsync(parameterValueSpecification: parameterValueSpecification, referencePipelineRunId: referencePipelineRunId);

Console.WriteLine($"Succeeded: {result}");

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue