Triggers - Create Or Update

Service:

Data Factory

API Version:

2018-06-01

Создает или обновляет триггер.

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

Параметры URI

Имя	В	Обязательно	Тип	Описание
factoryName	path	True	string	Имя фабрики. Regex pattern: ^[A-Za-z0-9]+(?:-[A-Za-z0-9]+)*$
resourceGroupName	path	True	string	Имя группы ресурсов. Regex pattern: ^[-\w\._\(\)]+$
subscriptionId	path	True	string	Идентификатор подписки.
triggerName	path	True	string	Имя триггера. Regex pattern: ^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$
api-version	query	True	string	Версия API.

Заголовок запроса

Имя	Обязательно	Тип	Описание
If-Match		string	ETag сущности триггера. Должен указываться только для обновления, для которого он должен соответствовать существующей сущности или может иметь значение * для безусловного обновления.

Текст запроса

Имя	Обязательно	Тип	Описание
properties	True	Trigger: MultiplePipelineTrigger	Свойства триггера.

Ответы

Имя	Тип	Описание
200 OK	TriggerResource	Все в порядке.
Other Status Codes	CloudError	Ответ об ошибке, полученный от службы Фабрика данных Azure.

Безопасность

azure_auth

Поток OAuth2 в Azure Active Directory.

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

Scopes

Имя	Описание
user_impersonation	олицетворения учетной записи пользователя

Примеры

Triggers_Create

Triggers_Update

Triggers_Create

Sample Request

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 typing import Any, IO, Union

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/v7"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/92de53a5f1e0e03c94b40475d2135d97148ed014/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 System;
using System.Threading.Tasks;
using Azure;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.DataFactory;
using Azure.ResourceManager.DataFactory.Models;

// 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

Sample Response

Status code:

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

Response Body

{
  "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

Sample Request

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 typing import Any, IO, Union

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/v7"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/92de53a5f1e0e03c94b40475d2135d97148ed014/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 System;
using System.Threading.Tasks;
using Azure;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.DataFactory;
using Azure.ResourceManager.DataFactory.Models;

// 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

Sample Response

Status code:

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

Response Body

{
  "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"
}

Определения

Имя	Описание
CloudError	Объект , определяющий структуру Фабрика данных Azure ответа на ошибку.
MultiplePipelineTrigger	Базовый класс для всех триггеров, поддерживающих модель "один ко многим" для конвейера триггера.
PipelineReference	Ссылочный тип конвейера.
TriggerPipelineReference	Конвейер, который должен быть активирован с заданными параметрами.
TriggerResource	Тип ресурса триггера.
TriggerRuntimeState	Перечисляет возможное состояние триггеров.

CloudError

Объект , определяющий структуру Фабрика данных Azure ответа на ошибку.

Имя	Тип	Описание
error.code	string	Код ошибки.
error.details	CloudError[]	Массив с дополнительными сведениями об ошибке.
error.message	string	Сообщение об ошибке.
error.target	string	Имя свойства или путь в запросе, связанном с ошибкой.

MultiplePipelineTrigger

Базовый класс для всех триггеров, поддерживающих модель "один ко многим" для конвейера триггера.

Имя	Тип	Описание
annotations	object[]	Список тегов, которые можно использовать для описания триггера.
description	string	Описание триггера.
pipelines	TriggerPipelineReference[]	Конвейеры, которые необходимо запустить.
runtimeState	TriggerRuntimeState	Указывает, запущен триггер или нет. Обновляется при вызове API запуска и остановки в триггере.
type	string: MultiplePipelineTrigger	Тип триггера.

PipelineReference

Ссылочный тип конвейера.

Имя	Тип	Описание
name	string	Имя ссылки.
referenceName	string	Имя ссылочного конвейера.
type	enum: PipelineReference	Ссылочный тип конвейера.

TriggerPipelineReference

Конвейер, который должен быть активирован с заданными параметрами.

Имя	Тип	Описание
parameters	object	Параметры конвейера.
pipelineReference	PipelineReference	Справочник по конвейеру.

TriggerResource

Тип ресурса триггера.

Имя	Тип	Описание
etag	string	Etag определяет изменения в ресурсе.
id	string	Идентификатор ресурса.
name	string	Имя ресурса.
properties	Trigger: MultiplePipelineTrigger	Свойства триггера.
type	string	Тип ресурса.

TriggerRuntimeState

Перечисляет возможное состояние триггеров.

Имя	Тип	Описание
Disabled	string
Started	string
Stopped	string