Pipeline Runs - Get

Service:

Data Factory

Version d'API:

2018-06-01

Obtenez un pipeline exécuté par son ID d’exécution.

GET https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataFactory/factories/{factoryName}/pipelineruns/{runId}?api-version=2018-06-01

Paramètres URI

Nom	Dans	Obligatoire	Type	Description
factoryName	path	True	string minLength: 3 maxLength: 63 pattern: ^[A-Za-z0-9]+(?:-[A-Za-z0-9]+)*$	Nom de la fabrique.
resourceGroupName	path	True	string minLength: 1 maxLength: 90 pattern: ^[-\w\._\(\)]+$	Nom du groupe de ressources.
runId	path	True	string	Identificateur d’exécution du pipeline.
subscriptionId	path	True	string	Identificateur d’abonnement.
api-version	query	True	string	Version de l’API.

Réponses

Nom	Type	Description
200 OK	PipelineRun	D’ACCORD.
Other Status Codes	CloudError	Réponse d’erreur reçue du service Azure Data Factory.

Sécurité

azure_auth

Flux OAuth2 Azure Active Directory.

Type: oauth2
Flux: implicit
URL d’autorisation: https://login.microsoftonline.com/common/oauth2/authorize

Étendues

Nom	Description
user_impersonation	emprunter l’identité de votre compte d’utilisateur

Exemples

PipelineRuns_Get

Exemple de requête

HTTP

GET https://management.azure.com/subscriptions/12345678-1234-1234-1234-12345678abc/resourceGroups/exampleResourceGroup/providers/Microsoft.DataFactory/factories/exampleFactoryName/pipelineruns/2f7fdb90-5df1-4b8e-ac2f-064cfa58202b?api-version=2018-06-01

Java

/**
 * Samples for PipelineRuns Get.
 */
public final class Main {
    /*
     * x-ms-original-file:
     * specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/PipelineRuns_Get.json
     */
    /**
     * Sample code: PipelineRuns_Get.
     * 
     * @param manager Entry point to DataFactoryManager.
     */
    public static void pipelineRunsGet(com.azure.resourcemanager.datafactory.DataFactoryManager manager) {
        manager.pipelineRuns().getWithResponse("exampleResourceGroup", "exampleFactoryName",
            "2f7fdb90-5df1-4b8e-ac2f-064cfa58202b", com.azure.core.util.Context.NONE);
    }
}

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

Python

from azure.identity import DefaultAzureCredential

from azure.mgmt.datafactory import DataFactoryManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-datafactory
# USAGE
    python pipeline_runs_get.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.pipeline_runs.get(
        resource_group_name="exampleResourceGroup",
        factory_name="exampleFactoryName",
        run_id="2f7fdb90-5df1-4b8e-ac2f-064cfa58202b",
    )
    print(response)


# x-ms-original-file: specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/PipelineRuns_Get.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

Go

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/PipelineRuns_Get.json
func ExamplePipelineRunsClient_Get() {
	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.NewPipelineRunsClient().Get(ctx, "exampleResourceGroup", "exampleFactoryName", "2f7fdb90-5df1-4b8e-ac2f-064cfa58202b", nil)
	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.PipelineRun = armdatafactory.PipelineRun{
	// 	AdditionalProperties: map[string]any{
	// 		"annotations": []any{
	// 		},
	// 	},
	// 	DurationInMs: to.Ptr[int32](28105),
	// 	InvokedBy: &armdatafactory.PipelineRunInvokedBy{
	// 		Name: to.Ptr("Manual"),
	// 		ID: to.Ptr("80a01654a9d34ad18b3fcac5d5d76b67"),
	// 	},
	// 	LastUpdated: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2018-06-16T00:38:12.731Z"); return t}()),
	// 	Message: to.Ptr(""),
	// 	Parameters: map[string]*string{
	// 		"OutputBlobNameList": to.Ptr("[\"exampleoutput.csv\"]"),
	// 	},
	// 	PipelineName: to.Ptr("examplePipeline"),
	// 	RunEnd: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2018-06-16T00:38:12.731Z"); return t}()),
	// 	RunID: to.Ptr("2f7fdb90-5df1-4b8e-ac2f-064cfa58202b"),
	// 	RunStart: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2018-06-16T00:37:44.625Z"); return t}()),
	// 	Status: to.Ptr("Succeeded"),
	// }
}

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

JavaScript

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

/**
 * This sample demonstrates how to Get a pipeline run by its run ID.
 *
 * @summary Get a pipeline run by its run ID.
 * x-ms-original-file: specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/PipelineRuns_Get.json
 */
async function pipelineRunsGet() {
  const subscriptionId =
    process.env["DATAFACTORY_SUBSCRIPTION_ID"] || "12345678-1234-1234-1234-12345678abc";
  const resourceGroupName = process.env["DATAFACTORY_RESOURCE_GROUP"] || "exampleResourceGroup";
  const factoryName = "exampleFactoryName";
  const runId = "2f7fdb90-5df1-4b8e-ac2f-064cfa58202b";
  const credential = new DefaultAzureCredential();
  const client = new DataFactoryManagementClient(credential, subscriptionId);
  const result = await client.pipelineRuns.get(resourceGroupName, factoryName, runId);
  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

dotnet

using Azure;
using Azure.ResourceManager;
using System;
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/stable/2018-06-01/examples/PipelineRuns_Get.json
// this example is just showing the usage of "PipelineRuns_Get" 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 DataFactoryResource created on azure
// for more information of creating DataFactoryResource, please refer to the document of DataFactoryResource
string subscriptionId = "12345678-1234-1234-1234-12345678abc";
string resourceGroupName = "exampleResourceGroup";
string factoryName = "exampleFactoryName";
ResourceIdentifier dataFactoryResourceId = DataFactoryResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, factoryName);
DataFactoryResource dataFactory = client.GetDataFactoryResource(dataFactoryResourceId);

// invoke the operation
string runId = "2f7fdb90-5df1-4b8e-ac2f-064cfa58202b";
DataFactoryPipelineRunInfo result = await dataFactory.GetPipelineRunAsync(runId);

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

CLI

az datafactory pipeline-run show --factory-name "exampleFactoryName" --resource-group "exampleResourceGroup" --run-id "2f7fdb90-5df1-4b8e-ac2f-064cfa58202b"

Click here to learn more about the Azure CLI command.

Exemple de réponse

Code d’état:

200

Date: Sat, 16 Jun 2018 00:40:02 GMT
X-Content-Type-Options: nosniff
x-ms-ratelimit-remaining-subscription-reads: 14988
x-ms-request-id: 6d9de9bd-a412-4a6f-8b9e-37d369323646
x-ms-correlation-request-id: 6d9de9bd-a412-4a6f-8b9e-37d369323646

{
  "runId": "2f7fdb90-5df1-4b8e-ac2f-064cfa58202b",
  "pipelineName": "examplePipeline",
  "parameters": {
    "OutputBlobNameList": "[\"exampleoutput.csv\"]"
  },
  "invokedBy": {
    "id": "80a01654a9d34ad18b3fcac5d5d76b67",
    "name": "Manual"
  },
  "runStart": "2018-06-16T00:37:44.6257014Z",
  "runEnd": "2018-06-16T00:38:12.7314495Z",
  "durationInMs": 28105,
  "status": "Succeeded",
  "message": "",
  "lastUpdated": "2018-06-16T00:38:12.7314495Z",
  "annotations": []
}

Définitions

Nom	Description
CloudError	Objet qui définit la structure d’une réponse d’erreur Azure Data Factory.
PipelineRun	Informations sur une exécution de pipeline.
PipelineRunInvokedBy	Fournit le nom et l’ID d’entité qui ont démarré l’exécution du pipeline.

CloudError

Object

Objet qui définit la structure d’une réponse d’erreur Azure Data Factory.

Nom	Type	Description
error.code	string	Code d’erreur.
error.details	CloudError[]	Tableau avec des détails d’erreur supplémentaires.
error.message	string	Message d'erreur.
error.target	string	Nom/chemin de propriété dans la requête associée à l’erreur.

PipelineRun

Object

Informations sur une exécution de pipeline.

Nom	Type	Description
durationInMs	integer	Durée d’une exécution de pipeline.
invokedBy	PipelineRunInvokedBy	Entité qui a démarré l’exécution du pipeline.
isLatest	boolean	Indique si l’exécution du pipeline récupéré est la plus récente de son groupe.
lastUpdated	string (date-time)	Horodatage de la dernière mise à jour de l’événement d’exécution du pipeline au format ISO8601.
message	string	Message d’une exécution de pipeline.
parameters	object	Liste complète ou partielle du nom de paramètre, paire valeur utilisée dans l’exécution du pipeline.
pipelineName	string	Le nom du pipeline.
runDimensions	object	Dimensions d’exécution émises par l’exécution du pipeline.
runEnd	string (date-time)	Heure de fin d’une exécution de pipeline au format ISO8601.
runGroupId	string	Identificateur qui met en corrélation toutes les exécutions de récupération d’une exécution de pipeline.
runId	string	Identificateur d’une exécution.
runStart	string (date-time)	Heure de début d’une exécution de pipeline au format ISO8601.
status	string	État d’une exécution de pipeline. Valeurs possibles : File d’attente, InProgress, Succeeded, Failed, Canceling, Canceled

PipelineRunInvokedBy

Object

Fournit le nom et l’ID d’entité qui ont démarré l’exécution du pipeline.

Nom	Type	Description
id	string	ID de l’entité qui a démarré l’exécution.
invokedByType	string	Type de l’entité qui a démarré l’exécution.
name	string	Nom de l’entité qui a démarré l’exécution du pipeline.
pipelineName	string	Nom du pipeline qui a déclenché l’exécution, le cas échéant.
pipelineRunId	string	ID d’exécution du pipeline qui a déclenché l’exécution, le cas échéant.