Triggers - Create Or Update

Tjänst:

Data Factory

API-version:

2018-06-01

Skapar eller uppdaterar en utlösare.

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

URI-parametrar

Name	I	Obligatorisk	Typ	Description
factoryName	path	True	string	Fabriksnamnet. Reguljärt uttrycksmönster: ^[A-Za-z0-9]+(?:-[A-Za-z0-9]+)*$
resourceGroupName	path	True	string	Resursgruppens namn. Reguljärt uttrycksmönster: ^[-\w\._\(\)]+$
subscriptionId	path	True	string	Prenumerationsidentifieraren.
triggerName	path	True	string	Utlösarnamnet. Reguljärt uttrycksmönster: ^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$
api-version	query	True	string	API-versionen.

Begärandehuvud

Name	Obligatorisk	Typ	Description
If-Match		string	ETag för utlösarentiteten. Bör endast anges för uppdatering, för vilken den ska matcha en befintlig entitet eller kan vara * för ovillkorlig uppdatering.

Begärandetext

Name	Obligatorisk	Typ	Description
properties	True	Trigger: MultiplePipelineTrigger	Egenskaper för utlösaren.

Svar

Name	Typ	Description
200 OK	TriggerResource	OK.
Other Status Codes	CloudError	Ett felsvar som tagits emot från Azure Data Factory-tjänsten.

Säkerhet

azure_auth

Azure Active Directory OAuth2 Flow.

Typ: oauth2
Flow: implicit
Auktoriseringswebbadress: https://login.microsoftonline.com/common/oauth2/authorize

Omfattningar

Name	Description
user_impersonation	personifiera ditt användarkonto

Exempel

Triggers_Create

Triggers_Update

Triggers_Create

Exempelbegäran

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

Exempelsvar

Statuskod:

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

Exempelbegäran

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

Exempelsvar

Statuskod:

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"
}

Definitioner

Name	Description
CloudError	Objektet som definierar strukturen för ett Azure Data Factory felsvar.
MultiplePipelineTrigger	Basklass för alla utlösare som stöder en till många-modell för utlösare till pipeline.
PipelineReference	Referenstyp för pipeline.
TriggerPipelineReference	Pipeline som måste utlösas med de angivna parametrarna.
TriggerResource	Utlösa resurstyp.
TriggerRuntimeState	Räknar upp möjliga tillstånd för utlösare.

CloudError

Objektet som definierar strukturen för ett Azure Data Factory felsvar.

Name	Typ	Description
error.code	string	Felkod.
error.details	CloudError[]	Matris med ytterligare felinformation.
error.message	string	Felmeddelande.
error.target	string	Egenskapsnamn/sökväg i begäran som är associerad med fel.

MultiplePipelineTrigger

Basklass för alla utlösare som stöder en till många-modell för utlösare till pipeline.

Name	Typ	Description
annotations	object[]	Lista över taggar som kan användas för att beskriva utlösaren.
description	string	Utlösarbeskrivning.
pipelines	TriggerPipelineReference[]	Pipelines som måste startas.
runtimeState	TriggerRuntimeState	Anger om utlösaren körs eller inte. Uppdaterades när Start/Stop-API:er anropas på utlösaren.
type	string: MultiplePipelineTrigger	Utlösartyp.

PipelineReference

Referenstyp för pipeline.

Name	Typ	Description
name	string	Referensnamn.
referenceName	string	Referenspipelinenamn.
type	enum: PipelineReference	Referenstyp för pipeline.

TriggerPipelineReference

Pipeline som måste utlösas med de angivna parametrarna.

Name	Typ	Description
parameters	object	Pipelineparametrar.
pipelineReference	PipelineReference	Pipelinereferens.

TriggerResource

Utlösa resurstyp.

Name	Typ	Description
etag	string	Etag identifierar ändring i resursen.
id	string	Resursidentifieraren.
name	string	Resursnamnet.
properties	Trigger: MultiplePipelineTrigger	Egenskaper för utlösaren.
type	string	Resurstypen.

TriggerRuntimeState

Räknar upp möjliga tillstånd för utlösare.

Name	Typ	Description
Disabled	string
Started	string
Stopped	string