Pipelines - Create Run

Referência

Serviço:: Data Factory

Versão da API:: 2018-06-01

Cria uma execução de um pipeline.

POST https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataFactory/factories/{factoryName}/pipelines/{pipelineName}/createRun?api-version=2018-06-01

Com parâmetros opcionais:

POST https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataFactory/factories/{factoryName}/pipelines/{pipelineName}/createRun?api-version=2018-06-01&referencePipelineRunId={referencePipelineRunId}&isRecovery={isRecovery}&startActivityName={startActivityName}&startFromFailure={startFromFailure}

Parâmetros do URI

Name	Em	Necessário	Tipo	Description
factoryName	path	True	string	O nome da fábrica. Padrão Regex: `^[A-Za-z0-9]+(?:-[A-Za-z0-9]+)*$`
pipelineName	path	True	string	O nome do pipeline. Padrão Regex: `^[A-Za-z0-9_][^<>#.%&:\\+?/]$`
resourceGroupName	path	True	string	O nome do grupo de recursos. Padrão Regex: `^[-\w\._\(\)]+$`
subscriptionId	path	True	string	O identificador da subscrição.
api-version	query	True	string	A versão da API.
isRecovery	query		boolean	Sinalizador do modo de recuperação. Se o modo de recuperação estiver definido como verdadeiro, a execução de pipeline referenciada especificada e a nova execução serão agrupadas no mesmo groupId.
referencePipelineRunId	query		string	O identificador de execução do pipeline. Se for especificado o ID de execução, os parâmetros da execução especificada serão utilizados para criar uma nova execução.
startActivityName	query		string	No modo de recuperação, a nova execução começará a partir desta atividade. Se não for especificado, todas as atividades serão executadas.
startFromFailure	query		boolean	No modo de recuperação, se definido como verdadeiro, a nova execução começará a partir de atividades falhadas. A propriedade só será utilizada se startActivityName não for especificado.

Corpo do Pedido

Name	Tipo	Description
parameters	ParameterValueSpecification	Parâmetros da execução do pipeline. Estes parâmetros só serão utilizados se o runId não for especificado.

Respostas

Name	Tipo	Description
200 OK	CreateRunResponse	OK.
Other Status Codes	CloudError	Uma resposta de erro recebida do serviço Azure Data Factory.

Segurança

azure_auth

Fluxo OAuth2 do Azure Active Directory.

Tipo: oauth2
Fluxo: implicit
URL de Autorização: https://login.microsoftonline.com/common/oauth2/authorize

Âmbitos

Name	Description
user_impersonation	representar a sua conta de utilizador

Exemplos

Pipelines_CreateRun

Pedido de amostra

POST https://management.azure.com/subscriptions/12345678-1234-1234-1234-12345678abc/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:
     * specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/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/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

package armdatafactory_test

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"
	"github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/datafactory/armdatafactory/v9"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/ab04533261eff228f28e08900445d0edef3eb70c/specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/Pipelines_CreateRun.json
func ExamplePipelinesClient_CreateRun() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := armdatafactory.NewClientFactory("<subscription-id>", cred, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	res, err := clientFactory.NewPipelinesClient().CreateRun(ctx, "exampleResourceGroup", "exampleFactoryName", "examplePipeline", &armdatafactory.PipelinesClientCreateRunOptions{ReferencePipelineRunID: nil,
		IsRecovery:        nil,
		StartActivityName: nil,
		StartFromFailure:  nil,
		Parameters: map[string]any{
			"OutputBlobNameList": []any{
				"exampleoutput.csv",
			},
		},
	})
	if err != nil {
		log.Fatalf("failed to finish the request: %v", err)
	}
	// You could use response here. We use blank identifier for just demo purposes.
	_ = res
	// If the HTTP response code is 200 as defined in example definition, your response structure would look as follows. Please pay attention that all the values in the output are fake values for just demo purposes.
	// res.CreateRunResponse = armdatafactory.CreateRunResponse{
	// 	RunID: to.Ptr("2f7fdb90-5df1-4b8e-ac2f-064cfa58202b"),
	// }
}

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: specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/Pipelines_CreateRun.json
 */
async function pipelinesCreateRun() {
  const subscriptionId =
    process.env["DATAFACTORY_SUBSCRIPTION_ID"] || "12345678-1234-1234-1234-12345678abc";
  const resourceGroupName = process.env["DATAFACTORY_RESOURCE_GROUP"] || "exampleResourceGroup";
  const factoryName = "exampleFactoryName";
  const pipelineName = "examplePipeline";
  const referencePipelineRunId = undefined;
  const parameters = {
    outputBlobNameList: ["exampleoutput.csv"],
  };
  const options = {
    referencePipelineRunId,
    parameters,
  };
  const credential = new DefaultAzureCredential();
  const client = new DataFactoryManagementClient(credential, subscriptionId);
  const result = await client.pipelines.createRun(
    resourceGroupName,
    factoryName,
    pipelineName,
    options,
  );
  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.Identity;
using Azure.ResourceManager.DataFactory.Models;
using Azure.ResourceManager.DataFactory;

// Generated from example definition: specification/datafactory/resource-manager/Microsoft.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://learn.microsoft.com/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

az datafactory pipeline create-run --factory-name "exampleFactoryName" --parameters "{\"OutputBlobNameList\":[\"exampleoutput.csv\"]}" --name "examplePipeline" --resource-group "exampleResourceGroup"

Click here to learn more about the Azure CLI command.

Resposta da amostra

Código de estado:: 200

Date: Sat, 16 Jun 2018 00:37:48 GMT
X-Content-Type-Options: nosniff
x-ms-ratelimit-remaining-subscription-writes: 1190
x-ms-request-id: 5c2b442b-d360-43ec-9268-f923f88f31fd
x-ms-correlation-request-id: 5c2b442b-d360-43ec-9268-f923f88f31fd

{
  "runId": "2f7fdb90-5df1-4b8e-ac2f-064cfa58202b"
}

Definições

Name	Description
CloudError	O objeto que define a estrutura de uma resposta de erro Azure Data Factory.
CreateRunResponse	Corpo da resposta com um identificador de execução.

CloudError

O objeto que define a estrutura de uma resposta de erro Azure Data Factory.

Name	Tipo	Description
error.code	string	Código de erro.
error.details	CloudError[]	Matriz com detalhes de erro adicionais.
error.message	string	Mensagem de erro.
error.target	string	Nome/caminho da propriedade no pedido associado ao erro.

CreateRunResponse

Corpo da resposta com um identificador de execução.

Name	Tipo	Description
runId	string	Identificador de uma execução.