Triggers - Create Or Update

Serviço:

Data Factory

Versão da API:

2018-06-01

Cria ou atualiza um acionador.

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

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]+)*$
resourceGroupName	path	True	string	O nome do grupo de recursos. Padrão Regex: ^[-\w\._\(\)]+$
subscriptionId	path	True	string	O identificador da subscrição.
triggerName	path	True	string	O nome do acionador. Padrão Regex: ^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$
api-version	query	True	string	A versão da API.

Cabeçalho do Pedido

Name	Necessário	Tipo	Description
If-Match		string	ETag da entidade do acionador. Só deve ser especificado para atualização, para o qual deve corresponder à entidade existente ou pode ser * para atualização incondicional.

Corpo do Pedido

Name	Necessário	Tipo	Description
properties	True	Trigger: MultiplePipelineTrigger	Propriedades do acionador.

Respostas

Name	Tipo	Description
200 OK	TriggerResource	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

Triggers_Create

Triggers_Update

Triggers_Create

Pedido de amostra

HTTP

PUT https://management.azure.com/subscriptions/12345678-1234-1234-1234-12345678abc/resourceGroups/exampleResourceGroup/providers/Microsoft.DataFactory/factories/exampleFactoryName/triggers/exampleTrigger?api-version=2018-06-01

{
  "properties": {
    "type": "ScheduleTrigger",
    "typeProperties": {
      "recurrence": {
        "frequency": "Minute",
        "interval": 4,
        "startTime": "2018-06-16T00:39:13.8441801Z",
        "endTime": "2018-06-16T00:55:13.8441801Z",
        "timeZone": "UTC"
      }
    },
    "pipelines": [
      {
        "pipelineReference": {
          "referenceName": "examplePipeline",
          "type": "PipelineReference"
        },
        "parameters": {
          "OutputBlobNameList": [
            "exampleoutput.csv"
          ]
        }
      }
    ]
  }
}

Java

import com.azure.core.management.serializer.SerializerFactory;
import com.azure.core.util.serializer.SerializerEncoding;
import com.azure.resourcemanager.datafactory.models.PipelineReference;
import com.azure.resourcemanager.datafactory.models.RecurrenceFrequency;
import com.azure.resourcemanager.datafactory.models.ScheduleTrigger;
import com.azure.resourcemanager.datafactory.models.ScheduleTriggerRecurrence;
import com.azure.resourcemanager.datafactory.models.TriggerPipelineReference;
import java.io.IOException;
import java.time.OffsetDateTime;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;

/**
 * Samples for Triggers CreateOrUpdate.
 */
public final class Main {
    /*
     * x-ms-original-file:
     * specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/Triggers_Create.json
     */
    /**
     * Sample code: Triggers_Create.
     * 
     * @param manager Entry point to DataFactoryManager.
     */
    public static void triggersCreate(com.azure.resourcemanager.datafactory.DataFactoryManager manager)
        throws IOException {
        manager
            .triggers().define(
                "exampleTrigger")
            .withExistingFactory("exampleResourceGroup", "exampleFactoryName")
            .withProperties(new ScheduleTrigger()
                .withPipelines(Arrays.asList(new TriggerPipelineReference()
                    .withPipelineReference(new PipelineReference().withReferenceName("examplePipeline"))
                    .withParameters(mapOf("OutputBlobNameList",
                        SerializerFactory.createDefaultManagementSerializerAdapter()
                            .deserialize("[\"exampleoutput.csv\"]", Object.class, SerializerEncoding.JSON)))))
                .withRecurrence(new ScheduleTriggerRecurrence().withFrequency(RecurrenceFrequency.MINUTE)
                    .withInterval(4).withStartTime(OffsetDateTime.parse("2018-06-16T00:39:13.8441801Z"))
                    .withEndTime(OffsetDateTime.parse("2018-06-16T00:55:13.8441801Z")).withTimeZone("UTC")
                    .withAdditionalProperties(mapOf())))
            .create();
    }

    // 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

Python

from azure.identity import DefaultAzureCredential

from azure.mgmt.datafactory import DataFactoryManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-datafactory
# USAGE
    python triggers_create.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.triggers.create_or_update(
        resource_group_name="exampleResourceGroup",
        factory_name="exampleFactoryName",
        trigger_name="exampleTrigger",
        trigger={
            "properties": {
                "pipelines": [
                    {
                        "parameters": {"OutputBlobNameList": ["exampleoutput.csv"]},
                        "pipelineReference": {"referenceName": "examplePipeline", "type": "PipelineReference"},
                    }
                ],
                "type": "ScheduleTrigger",
                "typeProperties": {
                    "recurrence": {
                        "endTime": "2018-06-16T00:55:13.8441801Z",
                        "frequency": "Minute",
                        "interval": 4,
                        "startTime": "2018-06-16T00:39:13.8441801Z",
                        "timeZone": "UTC",
                    }
                },
            }
        },
    )
    print(response)


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

	"time"

	"github.com/Azure/azure-sdk-for-go/sdk/azcore/to"
	"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/Triggers_Create.json
func ExampleTriggersClient_CreateOrUpdate_triggersCreate() {
	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.NewTriggersClient().CreateOrUpdate(ctx, "exampleResourceGroup", "exampleFactoryName", "exampleTrigger", armdatafactory.TriggerResource{
		Properties: &armdatafactory.ScheduleTrigger{
			Type: to.Ptr("ScheduleTrigger"),
			Pipelines: []*armdatafactory.TriggerPipelineReference{
				{
					Parameters: map[string]any{
						"OutputBlobNameList": []any{
							"exampleoutput.csv",
						},
					},
					PipelineReference: &armdatafactory.PipelineReference{
						Type:          to.Ptr(armdatafactory.PipelineReferenceTypePipelineReference),
						ReferenceName: to.Ptr("examplePipeline"),
					},
				}},
			TypeProperties: &armdatafactory.ScheduleTriggerTypeProperties{
				Recurrence: &armdatafactory.ScheduleTriggerRecurrence{
					EndTime:   to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2018-06-16T00:55:13.844Z"); return t }()),
					Frequency: to.Ptr(armdatafactory.RecurrenceFrequencyMinute),
					Interval:  to.Ptr[int32](4),
					StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2018-06-16T00:39:13.844Z"); return t }()),
					TimeZone:  to.Ptr("UTC"),
				},
			},
		},
	}, &armdatafactory.TriggersClientCreateOrUpdateOptions{IfMatch: 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.TriggerResource = armdatafactory.TriggerResource{
	// 	Name: to.Ptr("exampleTrigger"),
	// 	Type: to.Ptr("Microsoft.DataFactory/factories/triggers"),
	// 	Etag: to.Ptr("0a008ad4-0000-0000-0000-5b245c6e0000"),
	// 	ID: to.Ptr("/subscriptions/12345678-1234-1234-1234-12345678abc/resourceGroups/exampleResourceGroup/providers/Microsoft.DataFactory/factories/exampleFactoryName/triggers/exampleTrigger"),
	// 	Properties: &armdatafactory.ScheduleTrigger{
	// 		Type: to.Ptr("ScheduleTrigger"),
	// 		RuntimeState: to.Ptr(armdatafactory.TriggerRuntimeStateStopped),
	// 		Pipelines: []*armdatafactory.TriggerPipelineReference{
	// 			{
	// 				Parameters: map[string]any{
	// 					"OutputBlobNameList": []any{
	// 						"exampleoutput.csv",
	// 					},
	// 				},
	// 				PipelineReference: &armdatafactory.PipelineReference{
	// 					Type: to.Ptr(armdatafactory.PipelineReferenceTypePipelineReference),
	// 					ReferenceName: to.Ptr("examplePipeline"),
	// 				},
	// 		}},
	// 		TypeProperties: &armdatafactory.ScheduleTriggerTypeProperties{
	// 			Recurrence: &armdatafactory.ScheduleTriggerRecurrence{
	// 				EndTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2018-06-16T00:55:13.844Z"); return t}()),
	// 				Frequency: to.Ptr(armdatafactory.RecurrenceFrequencyMinute),
	// 				Interval: to.Ptr[int32](4),
	// 				StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2018-06-16T00:39:13.844Z"); return t}()),
	// 				TimeZone: to.Ptr("UTC"),
	// 			},
	// 		},
	// 	},
	// }
}

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 Creates or updates a trigger.
 *
 * @summary Creates or updates a trigger.
 * x-ms-original-file: specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/Triggers_Create.json
 */
async function triggersCreate() {
  const subscriptionId =
    process.env["DATAFACTORY_SUBSCRIPTION_ID"] || "12345678-1234-1234-1234-12345678abc";
  const resourceGroupName = process.env["DATAFACTORY_RESOURCE_GROUP"] || "exampleResourceGroup";
  const factoryName = "exampleFactoryName";
  const triggerName = "exampleTrigger";
  const trigger = {
    properties: {
      type: "ScheduleTrigger",
      pipelines: [
        {
          parameters: { outputBlobNameList: ["exampleoutput.csv"] },
          pipelineReference: {
            type: "PipelineReference",
            referenceName: "examplePipeline",
          },
        },
      ],
      recurrence: {
        endTime: new Date("2018-06-16T00:55:13.8441801Z"),
        frequency: "Minute",
        interval: 4,
        startTime: new Date("2018-06-16T00:39:13.8441801Z"),
        timeZone: "UTC",
      },
    },
  };
  const credential = new DefaultAzureCredential();
  const client = new DataFactoryManagementClient(credential, subscriptionId);
  const result = await client.triggers.createOrUpdate(
    resourceGroupName,
    factoryName,
    triggerName,
    trigger,
  );
  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.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/Triggers_Create.json
// this example is just showing the usage of "Triggers_CreateOrUpdate" 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);

// get the collection of this DataFactoryTriggerResource
DataFactoryTriggerCollection collection = dataFactory.GetDataFactoryTriggers();

// invoke the operation
string triggerName = "exampleTrigger";
DataFactoryTriggerData data = new DataFactoryTriggerData(new DataFactoryScheduleTrigger(new ScheduleTriggerRecurrence()
{
    Frequency = DataFactoryRecurrenceFrequency.Minute,
    Interval = 4,
    StartOn = DateTimeOffset.Parse("2018-06-16T00:39:13.8441801Z"),
    EndOn = DateTimeOffset.Parse("2018-06-16T00:55:13.8441801Z"),
    TimeZone = "UTC",
})
{
    Pipelines =
    {
    new TriggerPipelineReference()
    {
    PipelineReference = new DataFactoryPipelineReference(DataFactoryPipelineReferenceType.PipelineReference,"examplePipeline"),
    Parameters =
    {
    ["OutputBlobNameList"] = BinaryData.FromObjectAsJson(new object[] { "exampleoutput.csv" }),
    },
    }
    },
});
ArmOperation<DataFactoryTriggerResource> lro = await collection.CreateOrUpdateAsync(WaitUntil.Completed, triggerName, data);
DataFactoryTriggerResource result = lro.Value;

// the variable result is a resource, you could call other operations on this instance as well
// but just for demo, we get its data from this resource instance
DataFactoryTriggerData resourceData = result.Data;
// for demo we just print out the id
Console.WriteLine($"Succeeded on id: {resourceData.Id}");

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

Resposta da amostra

Código de estado:

200

Date: Sat, 16 Jun 2018 00:40:14 GMT
X-Content-Type-Options: nosniff
x-ms-ratelimit-remaining-subscription-writes: 1186
x-ms-request-id: 373f1a49-685d-4c07-8857-0fcf1bcaffcb
x-ms-correlation-request-id: 373f1a49-685d-4c07-8857-0fcf1bcaffcb

{
  "id": "/subscriptions/12345678-1234-1234-1234-12345678abc/resourceGroups/exampleResourceGroup/providers/Microsoft.DataFactory/factories/exampleFactoryName/triggers/exampleTrigger",
  "name": "exampleTrigger",
  "type": "Microsoft.DataFactory/factories/triggers",
  "properties": {
    "type": "ScheduleTrigger",
    "typeProperties": {
      "recurrence": {
        "frequency": "Minute",
        "interval": 4,
        "startTime": "2018-06-16T00:39:13.8441801Z",
        "endTime": "2018-06-16T00:55:13.8441801Z",
        "timeZone": "UTC"
      }
    },
    "pipelines": [
      {
        "pipelineReference": {
          "referenceName": "examplePipeline",
          "type": "PipelineReference"
        },
        "parameters": {
          "OutputBlobNameList": [
            "exampleoutput.csv"
          ]
        }
      }
    ],
    "runtimeState": "Stopped"
  },
  "etag": "0a008ad4-0000-0000-0000-5b245c6e0000"
}

Triggers_Update

Pedido de amostra

HTTP

PUT https://management.azure.com/subscriptions/12345678-1234-1234-1234-12345678abc/resourceGroups/exampleResourceGroup/providers/Microsoft.DataFactory/factories/exampleFactoryName/triggers/exampleTrigger?api-version=2018-06-01

{
  "properties": {
    "type": "ScheduleTrigger",
    "typeProperties": {
      "recurrence": {
        "frequency": "Minute",
        "interval": 4,
        "startTime": "2018-06-16T00:39:14.905167Z",
        "endTime": "2018-06-16T00:55:14.905167Z",
        "timeZone": "UTC"
      }
    },
    "pipelines": [
      {
        "pipelineReference": {
          "referenceName": "examplePipeline",
          "type": "PipelineReference"
        },
        "parameters": {
          "OutputBlobNameList": [
            "exampleoutput.csv"
          ]
        }
      }
    ],
    "description": "Example description"
  }
}

Java

import com.azure.core.management.serializer.SerializerFactory;
import com.azure.core.util.serializer.SerializerEncoding;
import com.azure.resourcemanager.datafactory.models.PipelineReference;
import com.azure.resourcemanager.datafactory.models.RecurrenceFrequency;
import com.azure.resourcemanager.datafactory.models.ScheduleTrigger;
import com.azure.resourcemanager.datafactory.models.ScheduleTriggerRecurrence;
import com.azure.resourcemanager.datafactory.models.TriggerPipelineReference;
import com.azure.resourcemanager.datafactory.models.TriggerResource;
import java.io.IOException;
import java.time.OffsetDateTime;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;

/**
 * Samples for Triggers CreateOrUpdate.
 */
public final class Main {
    /*
     * x-ms-original-file:
     * specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/Triggers_Update.json
     */
    /**
     * Sample code: Triggers_Update.
     * 
     * @param manager Entry point to DataFactoryManager.
     */
    public static void triggersUpdate(com.azure.resourcemanager.datafactory.DataFactoryManager manager)
        throws IOException {
        TriggerResource resource = manager.triggers().getWithResponse("exampleResourceGroup", "exampleFactoryName",
            "exampleTrigger", null, com.azure.core.util.Context.NONE).getValue();
        resource.update()
            .withProperties(new ScheduleTrigger().withDescription("Example description")
                .withPipelines(Arrays.asList(new TriggerPipelineReference()
                    .withPipelineReference(new PipelineReference().withReferenceName("examplePipeline"))
                    .withParameters(mapOf("OutputBlobNameList",
                        SerializerFactory.createDefaultManagementSerializerAdapter()
                            .deserialize("[\"exampleoutput.csv\"]", Object.class, SerializerEncoding.JSON)))))
                .withRecurrence(new ScheduleTriggerRecurrence().withFrequency(RecurrenceFrequency.MINUTE)
                    .withInterval(4).withStartTime(OffsetDateTime.parse("2018-06-16T00:39:14.905167Z"))
                    .withEndTime(OffsetDateTime.parse("2018-06-16T00:55:14.905167Z")).withTimeZone("UTC")
                    .withAdditionalProperties(mapOf())))
            .apply();
    }

    // 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

Python

from azure.identity import DefaultAzureCredential

from azure.mgmt.datafactory import DataFactoryManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-datafactory
# USAGE
    python triggers_update.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.triggers.create_or_update(
        resource_group_name="exampleResourceGroup",
        factory_name="exampleFactoryName",
        trigger_name="exampleTrigger",
        trigger={
            "properties": {
                "description": "Example description",
                "pipelines": [
                    {
                        "parameters": {"OutputBlobNameList": ["exampleoutput.csv"]},
                        "pipelineReference": {"referenceName": "examplePipeline", "type": "PipelineReference"},
                    }
                ],
                "type": "ScheduleTrigger",
                "typeProperties": {
                    "recurrence": {
                        "endTime": "2018-06-16T00:55:14.905167Z",
                        "frequency": "Minute",
                        "interval": 4,
                        "startTime": "2018-06-16T00:39:14.905167Z",
                        "timeZone": "UTC",
                    }
                },
            }
        },
    )
    print(response)


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

	"time"

	"github.com/Azure/azure-sdk-for-go/sdk/azcore/to"
	"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/Triggers_Update.json
func ExampleTriggersClient_CreateOrUpdate_triggersUpdate() {
	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.NewTriggersClient().CreateOrUpdate(ctx, "exampleResourceGroup", "exampleFactoryName", "exampleTrigger", armdatafactory.TriggerResource{
		Properties: &armdatafactory.ScheduleTrigger{
			Type:        to.Ptr("ScheduleTrigger"),
			Description: to.Ptr("Example description"),
			Pipelines: []*armdatafactory.TriggerPipelineReference{
				{
					Parameters: map[string]any{
						"OutputBlobNameList": []any{
							"exampleoutput.csv",
						},
					},
					PipelineReference: &armdatafactory.PipelineReference{
						Type:          to.Ptr(armdatafactory.PipelineReferenceTypePipelineReference),
						ReferenceName: to.Ptr("examplePipeline"),
					},
				}},
			TypeProperties: &armdatafactory.ScheduleTriggerTypeProperties{
				Recurrence: &armdatafactory.ScheduleTriggerRecurrence{
					EndTime:   to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2018-06-16T00:55:14.905Z"); return t }()),
					Frequency: to.Ptr(armdatafactory.RecurrenceFrequencyMinute),
					Interval:  to.Ptr[int32](4),
					StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2018-06-16T00:39:14.905Z"); return t }()),
					TimeZone:  to.Ptr("UTC"),
				},
			},
		},
	}, &armdatafactory.TriggersClientCreateOrUpdateOptions{IfMatch: 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.TriggerResource = armdatafactory.TriggerResource{
	// 	Name: to.Ptr("exampleTrigger"),
	// 	Type: to.Ptr("Microsoft.DataFactory/factories/triggers"),
	// 	Etag: to.Ptr("0a008dd4-0000-0000-0000-5b245c6f0000"),
	// 	ID: to.Ptr("/subscriptions/12345678-1234-1234-1234-12345678abc/resourceGroups/exampleResourceGroup/providers/Microsoft.DataFactory/factories/exampleFactoryName/triggers/exampleTrigger"),
	// 	Properties: &armdatafactory.ScheduleTrigger{
	// 		Type: to.Ptr("ScheduleTrigger"),
	// 		Description: to.Ptr("Example description"),
	// 		RuntimeState: to.Ptr(armdatafactory.TriggerRuntimeStateStopped),
	// 		Pipelines: []*armdatafactory.TriggerPipelineReference{
	// 			{
	// 				Parameters: map[string]any{
	// 					"OutputBlobNameList": []any{
	// 						"exampleoutput.csv",
	// 					},
	// 				},
	// 				PipelineReference: &armdatafactory.PipelineReference{
	// 					Type: to.Ptr(armdatafactory.PipelineReferenceTypePipelineReference),
	// 					ReferenceName: to.Ptr("examplePipeline"),
	// 				},
	// 		}},
	// 		TypeProperties: &armdatafactory.ScheduleTriggerTypeProperties{
	// 			Recurrence: &armdatafactory.ScheduleTriggerRecurrence{
	// 				EndTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2018-06-16T00:55:14.905Z"); return t}()),
	// 				Frequency: to.Ptr(armdatafactory.RecurrenceFrequencyMinute),
	// 				Interval: to.Ptr[int32](4),
	// 				StartTime: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2018-06-16T00:39:14.905Z"); return t}()),
	// 				TimeZone: to.Ptr("UTC"),
	// 			},
	// 		},
	// 	},
	// }
}

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 Creates or updates a trigger.
 *
 * @summary Creates or updates a trigger.
 * x-ms-original-file: specification/datafactory/resource-manager/Microsoft.DataFactory/stable/2018-06-01/examples/Triggers_Update.json
 */
async function triggersUpdate() {
  const subscriptionId =
    process.env["DATAFACTORY_SUBSCRIPTION_ID"] || "12345678-1234-1234-1234-12345678abc";
  const resourceGroupName = process.env["DATAFACTORY_RESOURCE_GROUP"] || "exampleResourceGroup";
  const factoryName = "exampleFactoryName";
  const triggerName = "exampleTrigger";
  const trigger = {
    properties: {
      type: "ScheduleTrigger",
      description: "Example description",
      pipelines: [
        {
          parameters: { outputBlobNameList: ["exampleoutput.csv"] },
          pipelineReference: {
            type: "PipelineReference",
            referenceName: "examplePipeline",
          },
        },
      ],
      recurrence: {
        endTime: new Date("2018-06-16T00:55:14.905167Z"),
        frequency: "Minute",
        interval: 4,
        startTime: new Date("2018-06-16T00:39:14.905167Z"),
        timeZone: "UTC",
      },
    },
  };
  const credential = new DefaultAzureCredential();
  const client = new DataFactoryManagementClient(credential, subscriptionId);
  const result = await client.triggers.createOrUpdate(
    resourceGroupName,
    factoryName,
    triggerName,
    trigger,
  );
  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.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/Triggers_Update.json
// this example is just showing the usage of "Triggers_CreateOrUpdate" 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);

// get the collection of this DataFactoryTriggerResource
DataFactoryTriggerCollection collection = dataFactory.GetDataFactoryTriggers();

// invoke the operation
string triggerName = "exampleTrigger";
DataFactoryTriggerData data = new DataFactoryTriggerData(new DataFactoryScheduleTrigger(new ScheduleTriggerRecurrence()
{
    Frequency = DataFactoryRecurrenceFrequency.Minute,
    Interval = 4,
    StartOn = DateTimeOffset.Parse("2018-06-16T00:39:14.905167Z"),
    EndOn = DateTimeOffset.Parse("2018-06-16T00:55:14.905167Z"),
    TimeZone = "UTC",
})
{
    Pipelines =
    {
    new TriggerPipelineReference()
    {
    PipelineReference = new DataFactoryPipelineReference(DataFactoryPipelineReferenceType.PipelineReference,"examplePipeline"),
    Parameters =
    {
    ["OutputBlobNameList"] = BinaryData.FromObjectAsJson(new object[] { "exampleoutput.csv" }),
    },
    }
    },
    Description = "Example description",
});
ArmOperation<DataFactoryTriggerResource> lro = await collection.CreateOrUpdateAsync(WaitUntil.Completed, triggerName, data);
DataFactoryTriggerResource result = lro.Value;

// the variable result is a resource, you could call other operations on this instance as well
// but just for demo, we get its data from this resource instance
DataFactoryTriggerData resourceData = result.Data;
// for demo we just print out the id
Console.WriteLine($"Succeeded on id: {resourceData.Id}");

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

Resposta da amostra

Código de estado:

200

Date: Sat, 16 Jun 2018 00:40:15 GMT
X-Content-Type-Options: nosniff
x-ms-ratelimit-remaining-subscription-writes: 1185
x-ms-request-id: d5ccf096-0618-4b26-9829-db77e4c391c7
x-ms-correlation-request-id: d5ccf096-0618-4b26-9829-db77e4c391c7

{
  "id": "/subscriptions/12345678-1234-1234-1234-12345678abc/resourceGroups/exampleResourceGroup/providers/Microsoft.DataFactory/factories/exampleFactoryName/triggers/exampleTrigger",
  "name": "exampleTrigger",
  "type": "Microsoft.DataFactory/factories/triggers",
  "properties": {
    "type": "ScheduleTrigger",
    "typeProperties": {
      "recurrence": {
        "frequency": "Minute",
        "interval": 4,
        "startTime": "2018-06-16T00:39:14.905167Z",
        "endTime": "2018-06-16T00:55:14.905167Z",
        "timeZone": "UTC"
      }
    },
    "pipelines": [
      {
        "pipelineReference": {
          "referenceName": "examplePipeline",
          "type": "PipelineReference"
        },
        "parameters": {
          "OutputBlobNameList": [
            "exampleoutput.csv"
          ]
        }
      }
    ],
    "description": "Example description",
    "runtimeState": "Stopped"
  },
  "etag": "0a008dd4-0000-0000-0000-5b245c6f0000"
}

Definições

Name	Description
CloudError	O objeto que define a estrutura de uma resposta de erro Azure Data Factory.
MultiplePipelineTrigger	Classe base para todos os acionadores que suportam um para muitos modelos para o acionador para pipeline.
PipelineReference	Tipo de referência de pipeline.
TriggerPipelineReference	Pipeline que tem de ser acionado com os parâmetros especificados.
TriggerResource	Acionar tipo de recurso.
TriggerRuntimeState	Enumera o estado possível dos Acionadores.

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.

MultiplePipelineTrigger

Classe base para todos os acionadores que suportam um para muitos modelos para o acionador para pipeline.

Name	Tipo	Description
annotations	object[]	Lista de etiquetas que podem ser utilizadas para descrever o acionador.
description	string	Descrição do acionador.
pipelines	TriggerPipelineReference[]	Pipelines que precisam de ser iniciados.
runtimeState	TriggerRuntimeState	Indica se o acionador está em execução ou não. Atualizado quando as APIs Iniciar/Parar são chamadas no Acionador.
type	string: MultiplePipelineTrigger	Tipo de acionador.

PipelineReference

Tipo de referência de pipeline.

Name	Tipo	Description
name	string	Nome da referência.
referenceName	string	Nome do pipeline de referência.
type	enum: PipelineReference	Tipo de referência de pipeline.

TriggerPipelineReference

Pipeline que tem de ser acionado com os parâmetros especificados.

Name	Tipo	Description
parameters	object	Parâmetros do pipeline.
pipelineReference	PipelineReference	Referência do pipeline.

TriggerResource

Acionar tipo de recurso.

Name	Tipo	Description
etag	string	O Etag identifica a alteração no recurso.
id	string	O identificador de recursos.
name	string	O nome do recurso.
properties	Trigger: MultiplePipelineTrigger	Propriedades do acionador.
type	string	O tipo de recurso.

TriggerRuntimeState

Enumera o estado possível dos Acionadores.

Name	Tipo	Description
Disabled	string
Started	string
Stopped	string