Pipeline Runs - Get

Service:

Data Factory

API Version:

2018-06-01

Get a pipeline run by its run ID.

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

URI Parameters

Name	In	Required	Type	Description
factoryName	path	True	string	The factory name. Regex pattern: ^[A-Za-z0-9]+(?:-[A-Za-z0-9]+)*$
resourceGroupName	path	True	string	The resource group name. Regex pattern: ^[-\w\._\(\)]+$
runId	path	True	string	The pipeline run identifier.
subscriptionId	path	True	string	The subscription identifier.
api-version	query	True	string	The API version.

Responses

Name	Type	Description
200 OK	PipelineRun	OK.
Other Status Codes	CloudError	An error response received from the Azure Data Factory service.

Security

azure_auth

Azure Active Directory OAuth2 Flow.

Type: oauth2
Flow: implicit
Authorization URL: https://login.microsoftonline.com/common/oauth2/authorize

Scopes

Name	Description
user_impersonation	impersonate your user account

Examples

PipelineRuns_Get

Sample request

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.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.Resources;
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.

Sample response

Status code:

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": []
}

Definitions

Name	Description
CloudError	The object that defines the structure of an Azure Data Factory error response.
PipelineRun	Information about a pipeline run.
PipelineRunInvokedBy	Provides entity name and id that started the pipeline run.

CloudError

Object

The object that defines the structure of an Azure Data Factory error response.

Name	Type	Description
error.code	string	Error code.
error.details	CloudError[]	Array with additional error details.
error.message	string	Error message.
error.target	string	Property name/path in request associated with error.

PipelineRun

Object

Information about a pipeline run.

Name	Type	Description
durationInMs	integer	The duration of a pipeline run.
invokedBy	PipelineRunInvokedBy	Entity that started the pipeline run.
isLatest	boolean	Indicates if the recovered pipeline run is the latest in its group.
lastUpdated	string	The last updated timestamp for the pipeline run event in ISO8601 format.
message	string	The message from a pipeline run.
parameters	object	The full or partial list of parameter name, value pair used in the pipeline run.
pipelineName	string	The pipeline name.
runDimensions	object	Run dimensions emitted by Pipeline run.
runEnd	string	The end time of a pipeline run in ISO8601 format.
runGroupId	string	Identifier that correlates all the recovery runs of a pipeline run.
runId	string	Identifier of a run.
runStart	string	The start time of a pipeline run in ISO8601 format.
status	string	The status of a pipeline run. Possible values: Queued, InProgress, Succeeded, Failed, Canceling, Cancelled

PipelineRunInvokedBy

Object

Provides entity name and id that started the pipeline run.

Name	Type	Description
id	string	The ID of the entity that started the run.
invokedByType	string	The type of the entity that started the run.
name	string	Name of the entity that started the pipeline run.
pipelineName	string	The name of the pipeline that triggered the run, if any.
pipelineRunId	string	The run id of the pipeline that triggered the run, if any.