DataflowProfileResource 만들기
PUT https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.IoTOperations/instances/{instanceName}/dataflowProfiles/{dataflowProfileName}?api-version=2024-11-01
URI 매개 변수
| Name |
In(다음 안에) |
필수 |
형식 |
Description |
|
dataflowProfileName
|
path |
True
|
string
minLength: 3
maxLength: 63
pattern: ^[a-z0-9][a-z0-9-]*[a-z0-9]$
|
인스턴스 dataflowProfile 리소스의 이름
|
|
instanceName
|
path |
True
|
string
minLength: 3
maxLength: 63
pattern: ^[a-z0-9][a-z0-9-]*[a-z0-9]$
|
인스턴스의 이름입니다.
|
|
resourceGroupName
|
path |
True
|
string
minLength: 1
maxLength: 90
|
리소스 그룹의 이름입니다. 이름은 대/소문자를 구분하지 않습니다.
|
|
subscriptionId
|
path |
True
|
string
(uuid)
|
대상 구독의 ID입니다. 값은 UUID여야 합니다.
|
|
api-version
|
query |
True
|
string
minLength: 1
|
이 작업에 사용할 API 버전입니다.
|
요청 본문
응답
보안
azure_auth
Azure Active Directory OAuth2 Flow.
형식:
oauth2
Flow:
implicit
권한 부여 URL:
https://login.microsoftonline.com/common/oauth2/authorize
범위
| Name |
Description |
|
user_impersonation
|
사용자 계정 가장
|
예제
DataflowProfile_CreateOrUpdate
샘플 요청
PUT https://management.azure.com/subscriptions/F8C729F9-DF9C-4743-848F-96EE433D8E53/resourceGroups/rgiotoperations/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/resource-name123?api-version=2024-11-01
{
"properties": {
"diagnostics": {
"logs": {
"level": "rnmwokumdmebpmfxxxzvvjfdywotav"
},
"metrics": {
"prometheusPort": 7581
}
},
"instanceCount": 14
},
"extendedLocation": {
"name": "qmbrfwcpwwhggszhrdjv",
"type": "CustomLocation"
}
}
import com.azure.resourcemanager.iotoperations.models.DataflowProfileProperties;
import com.azure.resourcemanager.iotoperations.models.DiagnosticsLogs;
import com.azure.resourcemanager.iotoperations.models.ExtendedLocation;
import com.azure.resourcemanager.iotoperations.models.ExtendedLocationType;
import com.azure.resourcemanager.iotoperations.models.Metrics;
import com.azure.resourcemanager.iotoperations.models.ProfileDiagnostics;
/**
* Samples for DataflowProfile CreateOrUpdate.
*/
public final class Main {
/*
* x-ms-original-file: 2024-11-01/DataflowProfile_CreateOrUpdate_MaximumSet_Gen.json
*/
/**
* Sample code: DataflowProfile_CreateOrUpdate.
*
* @param manager Entry point to IoTOperationsManager.
*/
public static void
dataflowProfileCreateOrUpdate(com.azure.resourcemanager.iotoperations.IoTOperationsManager manager) {
manager.dataflowProfiles().define("resource-name123")
.withExistingInstance("rgiotoperations", "resource-name123")
.withExtendedLocation(
new ExtendedLocation().withName("qmbrfwcpwwhggszhrdjv").withType(ExtendedLocationType.CUSTOM_LOCATION))
.withProperties(new DataflowProfileProperties().withDiagnostics(
new ProfileDiagnostics().withLogs(new DiagnosticsLogs().withLevel("rnmwokumdmebpmfxxxzvvjfdywotav"))
.withMetrics(new Metrics().withPrometheusPort(7581)))
.withInstanceCount(14))
.create();
}
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
from azure.identity import DefaultAzureCredential
from azure.mgmt.iotoperations import IoTOperationsMgmtClient
"""
# PREREQUISITES
pip install azure-identity
pip install azure-mgmt-iotoperations
# USAGE
python dataflow_profile_create_or_update_maximum_set_gen.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 = IoTOperationsMgmtClient(
credential=DefaultAzureCredential(),
subscription_id="SUBSCRIPTION_ID",
)
response = client.dataflow_profile.begin_create_or_update(
resource_group_name="rgiotoperations",
instance_name="resource-name123",
dataflow_profile_name="resource-name123",
resource={
"extendedLocation": {"name": "qmbrfwcpwwhggszhrdjv", "type": "CustomLocation"},
"properties": {
"diagnostics": {
"logs": {"level": "rnmwokumdmebpmfxxxzvvjfdywotav"},
"metrics": {"prometheusPort": 7581},
},
"instanceCount": 14,
},
},
).result()
print(response)
# x-ms-original-file: 2024-11-01/DataflowProfile_CreateOrUpdate_MaximumSet_Gen.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
package armiotoperations_test
import (
"context"
"log"
"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/iotoperations/armiotoperations"
)
// Generated from example definition: 2024-11-01/DataflowProfile_CreateOrUpdate_MaximumSet_Gen.json
func ExampleDataflowProfileClient_BeginCreateOrUpdate_dataflowProfileCreateOrUpdate() {
cred, err := azidentity.NewDefaultAzureCredential(nil)
if err != nil {
log.Fatalf("failed to obtain a credential: %v", err)
}
ctx := context.Background()
clientFactory, err := armiotoperations.NewClientFactory("F8C729F9-DF9C-4743-848F-96EE433D8E53", cred, nil)
if err != nil {
log.Fatalf("failed to create client: %v", err)
}
poller, err := clientFactory.NewDataflowProfileClient().BeginCreateOrUpdate(ctx, "rgiotoperations", "resource-name123", "resource-name123", armiotoperations.DataflowProfileResource{
Properties: &armiotoperations.DataflowProfileProperties{
Diagnostics: &armiotoperations.ProfileDiagnostics{
Logs: &armiotoperations.DiagnosticsLogs{
Level: to.Ptr("rnmwokumdmebpmfxxxzvvjfdywotav"),
},
Metrics: &armiotoperations.Metrics{
PrometheusPort: to.Ptr[int32](7581),
},
},
InstanceCount: to.Ptr[int32](14),
},
ExtendedLocation: &armiotoperations.ExtendedLocation{
Name: to.Ptr("qmbrfwcpwwhggszhrdjv"),
Type: to.Ptr(armiotoperations.ExtendedLocationTypeCustomLocation),
},
}, nil)
if err != nil {
log.Fatalf("failed to finish the request: %v", err)
}
res, err := poller.PollUntilDone(ctx, nil)
if err != nil {
log.Fatalf("failed to pull the result: %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 = armiotoperations.DataflowProfileClientCreateOrUpdateResponse{
// DataflowProfileResource: &armiotoperations.DataflowProfileResource{
// Properties: &armiotoperations.DataflowProfileProperties{
// Diagnostics: &armiotoperations.ProfileDiagnostics{
// Logs: &armiotoperations.DiagnosticsLogs{
// Level: to.Ptr("rnmwokumdmebpmfxxxzvvjfdywotav"),
// },
// Metrics: &armiotoperations.Metrics{
// PrometheusPort: to.Ptr[int32](7581),
// },
// },
// InstanceCount: to.Ptr[int32](14),
// ProvisioningState: to.Ptr(armiotoperations.ProvisioningStateSucceeded),
// },
// ExtendedLocation: &armiotoperations.ExtendedLocation{
// Name: to.Ptr("qmbrfwcpwwhggszhrdjv"),
// Type: to.Ptr(armiotoperations.ExtendedLocationTypeCustomLocation),
// },
// ID: to.Ptr("/subscriptions/0000000-0000-0000-0000-000000000000/resourceGroups/resourceGroup123/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/resource-name123"),
// Name: to.Ptr("bwhcjsnnfnrmbixamyxjau"),
// Type: to.Ptr("ejvancsomtbapgztnerhlvx"),
// SystemData: &armiotoperations.SystemData{
// CreatedBy: to.Ptr("ssvaslsmudloholronopqyxjcu"),
// CreatedByType: to.Ptr(armiotoperations.CreatedByTypeUser),
// CreatedAt: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2024-08-09T18:13:29.389Z"); return t}()),
// LastModifiedBy: to.Ptr("gnicpuszwd"),
// LastModifiedByType: to.Ptr(armiotoperations.CreatedByTypeUser),
// LastModifiedAt: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2024-08-09T18:13:29.389Z"); return t}()),
// },
// },
// }
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.IotOperations.Models;
using Azure.ResourceManager.IotOperations;
// Generated from example definition: 2024-11-01/DataflowProfile_CreateOrUpdate_MaximumSet_Gen.json
// this example is just showing the usage of "DataflowProfileResource_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 IotOperationsInstanceResource created on azure
// for more information of creating IotOperationsInstanceResource, please refer to the document of IotOperationsInstanceResource
string subscriptionId = "F8C729F9-DF9C-4743-848F-96EE433D8E53";
string resourceGroupName = "rgiotoperations";
string instanceName = "resource-name123";
ResourceIdentifier iotOperationsInstanceResourceId = IotOperationsInstanceResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, instanceName);
IotOperationsInstanceResource iotOperationsInstance = client.GetIotOperationsInstanceResource(iotOperationsInstanceResourceId);
// get the collection of this IotOperationsDataflowProfileResource
IotOperationsDataflowProfileCollection collection = iotOperationsInstance.GetIotOperationsDataflowProfiles();
// invoke the operation
string dataflowProfileName = "resource-name123";
IotOperationsDataflowProfileData data = new IotOperationsDataflowProfileData(new IotOperationsExtendedLocation("qmbrfwcpwwhggszhrdjv", IotOperationsExtendedLocationType.CustomLocation))
{
Properties = new IotOperationsDataflowProfileProperties
{
Diagnostics = new DataflowProfileDiagnostics
{
LogsLevel = "rnmwokumdmebpmfxxxzvvjfdywotav",
MetricsPrometheusPort = 7581,
},
InstanceCount = 14,
},
};
ArmOperation<IotOperationsDataflowProfileResource> lro = await collection.CreateOrUpdateAsync(WaitUntil.Completed, dataflowProfileName, data);
IotOperationsDataflowProfileResource 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
IotOperationsDataflowProfileData 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
샘플 응답
{
"properties": {
"diagnostics": {
"logs": {
"level": "rnmwokumdmebpmfxxxzvvjfdywotav"
},
"metrics": {
"prometheusPort": 7581
}
},
"instanceCount": 14,
"provisioningState": "Succeeded"
},
"extendedLocation": {
"name": "qmbrfwcpwwhggszhrdjv",
"type": "CustomLocation"
},
"id": "/subscriptions/0000000-0000-0000-0000-000000000000/resourceGroups/resourceGroup123/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/resource-name123",
"name": "bwhcjsnnfnrmbixamyxjau",
"type": "ejvancsomtbapgztnerhlvx",
"systemData": {
"createdBy": "ssvaslsmudloholronopqyxjcu",
"createdByType": "User",
"createdAt": "2024-08-09T18:13:29.389Z",
"lastModifiedBy": "gnicpuszwd",
"lastModifiedByType": "User",
"lastModifiedAt": "2024-08-09T18:13:29.389Z"
}
}
Azure-AsyncOperation: https://contoso.com/operationstatus
{
"properties": {
"diagnostics": {
"logs": {
"level": "rnmwokumdmebpmfxxxzvvjfdywotav"
},
"metrics": {
"prometheusPort": 7581
}
},
"instanceCount": 14,
"provisioningState": "Succeeded"
},
"extendedLocation": {
"name": "qmbrfwcpwwhggszhrdjv",
"type": "CustomLocation"
},
"id": "/subscriptions/0000000-0000-0000-0000-000000000000/resourceGroups/resourceGroup123/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/resource-name123",
"name": "bwhcjsnnfnrmbixamyxjau",
"type": "ejvancsomtbapgztnerhlvx",
"systemData": {
"createdBy": "ssvaslsmudloholronopqyxjcu",
"createdByType": "User",
"createdAt": "2024-08-09T18:13:29.389Z",
"lastModifiedBy": "gnicpuszwd",
"lastModifiedByType": "User",
"lastModifiedAt": "2024-08-09T18:13:29.389Z"
}
}
DataflowProfile_CreateOrUpdate_Minimal
샘플 요청
PUT https://management.azure.com/subscriptions/F8C729F9-DF9C-4743-848F-96EE433D8E53/resourceGroups/rgiotoperations/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/aio-dataflowprofile?api-version=2024-11-01
{
"properties": {
"instanceCount": 1
},
"extendedLocation": {
"name": "qmbrfwcpwwhggszhrdjv",
"type": "CustomLocation"
}
}
import com.azure.resourcemanager.iotoperations.models.DataflowProfileProperties;
import com.azure.resourcemanager.iotoperations.models.ExtendedLocation;
import com.azure.resourcemanager.iotoperations.models.ExtendedLocationType;
/**
* Samples for DataflowProfile CreateOrUpdate.
*/
public final class Main {
/*
* x-ms-original-file: 2024-11-01/DataflowProfile_CreateOrUpdate_Minimal.json
*/
/**
* Sample code: DataflowProfile_CreateOrUpdate_Minimal.
*
* @param manager Entry point to IoTOperationsManager.
*/
public static void
dataflowProfileCreateOrUpdateMinimal(com.azure.resourcemanager.iotoperations.IoTOperationsManager manager) {
manager.dataflowProfiles().define("aio-dataflowprofile")
.withExistingInstance("rgiotoperations", "resource-name123")
.withExtendedLocation(
new ExtendedLocation().withName("qmbrfwcpwwhggszhrdjv").withType(ExtendedLocationType.CUSTOM_LOCATION))
.withProperties(new DataflowProfileProperties().withInstanceCount(1)).create();
}
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
from azure.identity import DefaultAzureCredential
from azure.mgmt.iotoperations import IoTOperationsMgmtClient
"""
# PREREQUISITES
pip install azure-identity
pip install azure-mgmt-iotoperations
# USAGE
python dataflow_profile_create_or_update_minimal.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 = IoTOperationsMgmtClient(
credential=DefaultAzureCredential(),
subscription_id="SUBSCRIPTION_ID",
)
response = client.dataflow_profile.begin_create_or_update(
resource_group_name="rgiotoperations",
instance_name="resource-name123",
dataflow_profile_name="aio-dataflowprofile",
resource={
"extendedLocation": {"name": "qmbrfwcpwwhggszhrdjv", "type": "CustomLocation"},
"properties": {"instanceCount": 1},
},
).result()
print(response)
# x-ms-original-file: 2024-11-01/DataflowProfile_CreateOrUpdate_Minimal.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
package armiotoperations_test
import (
"context"
"log"
"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/iotoperations/armiotoperations"
)
// Generated from example definition: 2024-11-01/DataflowProfile_CreateOrUpdate_Minimal.json
func ExampleDataflowProfileClient_BeginCreateOrUpdate_dataflowProfileCreateOrUpdateMinimal() {
cred, err := azidentity.NewDefaultAzureCredential(nil)
if err != nil {
log.Fatalf("failed to obtain a credential: %v", err)
}
ctx := context.Background()
clientFactory, err := armiotoperations.NewClientFactory("F8C729F9-DF9C-4743-848F-96EE433D8E53", cred, nil)
if err != nil {
log.Fatalf("failed to create client: %v", err)
}
poller, err := clientFactory.NewDataflowProfileClient().BeginCreateOrUpdate(ctx, "rgiotoperations", "resource-name123", "aio-dataflowprofile", armiotoperations.DataflowProfileResource{
Properties: &armiotoperations.DataflowProfileProperties{
InstanceCount: to.Ptr[int32](1),
},
ExtendedLocation: &armiotoperations.ExtendedLocation{
Name: to.Ptr("qmbrfwcpwwhggszhrdjv"),
Type: to.Ptr(armiotoperations.ExtendedLocationTypeCustomLocation),
},
}, nil)
if err != nil {
log.Fatalf("failed to finish the request: %v", err)
}
res, err := poller.PollUntilDone(ctx, nil)
if err != nil {
log.Fatalf("failed to pull the result: %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 = armiotoperations.DataflowProfileClientCreateOrUpdateResponse{
// DataflowProfileResource: &armiotoperations.DataflowProfileResource{
// Properties: &armiotoperations.DataflowProfileProperties{
// InstanceCount: to.Ptr[int32](1),
// ProvisioningState: to.Ptr(armiotoperations.ProvisioningStateSucceeded),
// },
// ExtendedLocation: &armiotoperations.ExtendedLocation{
// Name: to.Ptr("qmbrfwcpwwhggszhrdjv"),
// Type: to.Ptr(armiotoperations.ExtendedLocationTypeCustomLocation),
// },
// ID: to.Ptr("/subscriptions/0000000-0000-0000-0000-000000000000/resourceGroups/resourceGroup123/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/resource-name123"),
// Name: to.Ptr("bwhcjsnnfnrmbixamyxjau"),
// Type: to.Ptr("ejvancsomtbapgztnerhlvx"),
// SystemData: &armiotoperations.SystemData{
// CreatedBy: to.Ptr("ssvaslsmudloholronopqyxjcu"),
// CreatedByType: to.Ptr(armiotoperations.CreatedByTypeUser),
// CreatedAt: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2024-08-09T18:13:29.389Z"); return t}()),
// LastModifiedBy: to.Ptr("gnicpuszwd"),
// LastModifiedByType: to.Ptr(armiotoperations.CreatedByTypeUser),
// LastModifiedAt: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2024-08-09T18:13:29.389Z"); return t}()),
// },
// },
// }
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.IotOperations.Models;
using Azure.ResourceManager.IotOperations;
// Generated from example definition: 2024-11-01/DataflowProfile_CreateOrUpdate_Minimal.json
// this example is just showing the usage of "DataflowProfileResource_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 IotOperationsInstanceResource created on azure
// for more information of creating IotOperationsInstanceResource, please refer to the document of IotOperationsInstanceResource
string subscriptionId = "F8C729F9-DF9C-4743-848F-96EE433D8E53";
string resourceGroupName = "rgiotoperations";
string instanceName = "resource-name123";
ResourceIdentifier iotOperationsInstanceResourceId = IotOperationsInstanceResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, instanceName);
IotOperationsInstanceResource iotOperationsInstance = client.GetIotOperationsInstanceResource(iotOperationsInstanceResourceId);
// get the collection of this IotOperationsDataflowProfileResource
IotOperationsDataflowProfileCollection collection = iotOperationsInstance.GetIotOperationsDataflowProfiles();
// invoke the operation
string dataflowProfileName = "aio-dataflowprofile";
IotOperationsDataflowProfileData data = new IotOperationsDataflowProfileData(new IotOperationsExtendedLocation("qmbrfwcpwwhggszhrdjv", IotOperationsExtendedLocationType.CustomLocation))
{
Properties = new IotOperationsDataflowProfileProperties
{
InstanceCount = 1,
},
};
ArmOperation<IotOperationsDataflowProfileResource> lro = await collection.CreateOrUpdateAsync(WaitUntil.Completed, dataflowProfileName, data);
IotOperationsDataflowProfileResource 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
IotOperationsDataflowProfileData 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
샘플 응답
{
"properties": {
"instanceCount": 1,
"provisioningState": "Succeeded"
},
"extendedLocation": {
"name": "qmbrfwcpwwhggszhrdjv",
"type": "CustomLocation"
},
"id": "/subscriptions/0000000-0000-0000-0000-000000000000/resourceGroups/resourceGroup123/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/resource-name123",
"name": "bwhcjsnnfnrmbixamyxjau",
"type": "ejvancsomtbapgztnerhlvx",
"systemData": {
"createdBy": "ssvaslsmudloholronopqyxjcu",
"createdByType": "User",
"createdAt": "2024-08-09T18:13:29.389Z",
"lastModifiedBy": "gnicpuszwd",
"lastModifiedByType": "User",
"lastModifiedAt": "2024-08-09T18:13:29.389Z"
}
}
Azure-AsyncOperation: https://contoso.com/operationstatus
{
"properties": {
"instanceCount": 1,
"provisioningState": "Succeeded"
},
"extendedLocation": {
"name": "qmbrfwcpwwhggszhrdjv",
"type": "CustomLocation"
},
"id": "/subscriptions/0000000-0000-0000-0000-000000000000/resourceGroups/resourceGroup123/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/resource-name123",
"name": "bwhcjsnnfnrmbixamyxjau",
"type": "ejvancsomtbapgztnerhlvx",
"systemData": {
"createdBy": "ssvaslsmudloholronopqyxjcu",
"createdByType": "User",
"createdAt": "2024-08-09T18:13:29.389Z",
"lastModifiedBy": "gnicpuszwd",
"lastModifiedByType": "User",
"lastModifiedAt": "2024-08-09T18:13:29.389Z"
}
}
DataflowProfile_CreateOrUpdate_Multi
샘플 요청
PUT https://management.azure.com/subscriptions/F8C729F9-DF9C-4743-848F-96EE433D8E53/resourceGroups/rgiotoperations/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/aio-dataflowprofile?api-version=2024-11-01
{
"properties": {
"instanceCount": 3
},
"extendedLocation": {
"name": "qmbrfwcpwwhggszhrdjv",
"type": "CustomLocation"
}
}
import com.azure.resourcemanager.iotoperations.models.DataflowProfileProperties;
import com.azure.resourcemanager.iotoperations.models.ExtendedLocation;
import com.azure.resourcemanager.iotoperations.models.ExtendedLocationType;
/**
* Samples for DataflowProfile CreateOrUpdate.
*/
public final class Main {
/*
* x-ms-original-file: 2024-11-01/DataflowProfile_CreateOrUpdate_Multi.json
*/
/**
* Sample code: DataflowProfile_CreateOrUpdate_Multi.
*
* @param manager Entry point to IoTOperationsManager.
*/
public static void
dataflowProfileCreateOrUpdateMulti(com.azure.resourcemanager.iotoperations.IoTOperationsManager manager) {
manager.dataflowProfiles().define("aio-dataflowprofile")
.withExistingInstance("rgiotoperations", "resource-name123")
.withExtendedLocation(
new ExtendedLocation().withName("qmbrfwcpwwhggszhrdjv").withType(ExtendedLocationType.CUSTOM_LOCATION))
.withProperties(new DataflowProfileProperties().withInstanceCount(3)).create();
}
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
from azure.identity import DefaultAzureCredential
from azure.mgmt.iotoperations import IoTOperationsMgmtClient
"""
# PREREQUISITES
pip install azure-identity
pip install azure-mgmt-iotoperations
# USAGE
python dataflow_profile_create_or_update_multi.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 = IoTOperationsMgmtClient(
credential=DefaultAzureCredential(),
subscription_id="SUBSCRIPTION_ID",
)
response = client.dataflow_profile.begin_create_or_update(
resource_group_name="rgiotoperations",
instance_name="resource-name123",
dataflow_profile_name="aio-dataflowprofile",
resource={
"extendedLocation": {"name": "qmbrfwcpwwhggszhrdjv", "type": "CustomLocation"},
"properties": {"instanceCount": 3},
},
).result()
print(response)
# x-ms-original-file: 2024-11-01/DataflowProfile_CreateOrUpdate_Multi.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
package armiotoperations_test
import (
"context"
"log"
"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/iotoperations/armiotoperations"
)
// Generated from example definition: 2024-11-01/DataflowProfile_CreateOrUpdate_Multi.json
func ExampleDataflowProfileClient_BeginCreateOrUpdate_dataflowProfileCreateOrUpdateMulti() {
cred, err := azidentity.NewDefaultAzureCredential(nil)
if err != nil {
log.Fatalf("failed to obtain a credential: %v", err)
}
ctx := context.Background()
clientFactory, err := armiotoperations.NewClientFactory("F8C729F9-DF9C-4743-848F-96EE433D8E53", cred, nil)
if err != nil {
log.Fatalf("failed to create client: %v", err)
}
poller, err := clientFactory.NewDataflowProfileClient().BeginCreateOrUpdate(ctx, "rgiotoperations", "resource-name123", "aio-dataflowprofile", armiotoperations.DataflowProfileResource{
Properties: &armiotoperations.DataflowProfileProperties{
InstanceCount: to.Ptr[int32](3),
},
ExtendedLocation: &armiotoperations.ExtendedLocation{
Name: to.Ptr("qmbrfwcpwwhggszhrdjv"),
Type: to.Ptr(armiotoperations.ExtendedLocationTypeCustomLocation),
},
}, nil)
if err != nil {
log.Fatalf("failed to finish the request: %v", err)
}
res, err := poller.PollUntilDone(ctx, nil)
if err != nil {
log.Fatalf("failed to pull the result: %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 = armiotoperations.DataflowProfileClientCreateOrUpdateResponse{
// DataflowProfileResource: &armiotoperations.DataflowProfileResource{
// Properties: &armiotoperations.DataflowProfileProperties{
// InstanceCount: to.Ptr[int32](3),
// ProvisioningState: to.Ptr(armiotoperations.ProvisioningStateSucceeded),
// },
// ExtendedLocation: &armiotoperations.ExtendedLocation{
// Name: to.Ptr("qmbrfwcpwwhggszhrdjv"),
// Type: to.Ptr(armiotoperations.ExtendedLocationTypeCustomLocation),
// },
// ID: to.Ptr("/subscriptions/0000000-0000-0000-0000-000000000000/resourceGroups/resourceGroup123/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/resource-name123"),
// Name: to.Ptr("bwhcjsnnfnrmbixamyxjau"),
// Type: to.Ptr("ejvancsomtbapgztnerhlvx"),
// SystemData: &armiotoperations.SystemData{
// CreatedBy: to.Ptr("ssvaslsmudloholronopqyxjcu"),
// CreatedByType: to.Ptr(armiotoperations.CreatedByTypeUser),
// CreatedAt: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2024-08-09T18:13:29.389Z"); return t}()),
// LastModifiedBy: to.Ptr("gnicpuszwd"),
// LastModifiedByType: to.Ptr(armiotoperations.CreatedByTypeUser),
// LastModifiedAt: to.Ptr(func() time.Time { t, _ := time.Parse(time.RFC3339Nano, "2024-08-09T18:13:29.389Z"); return t}()),
// },
// },
// }
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.IotOperations.Models;
using Azure.ResourceManager.IotOperations;
// Generated from example definition: 2024-11-01/DataflowProfile_CreateOrUpdate_Multi.json
// this example is just showing the usage of "DataflowProfileResource_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 IotOperationsInstanceResource created on azure
// for more information of creating IotOperationsInstanceResource, please refer to the document of IotOperationsInstanceResource
string subscriptionId = "F8C729F9-DF9C-4743-848F-96EE433D8E53";
string resourceGroupName = "rgiotoperations";
string instanceName = "resource-name123";
ResourceIdentifier iotOperationsInstanceResourceId = IotOperationsInstanceResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, instanceName);
IotOperationsInstanceResource iotOperationsInstance = client.GetIotOperationsInstanceResource(iotOperationsInstanceResourceId);
// get the collection of this IotOperationsDataflowProfileResource
IotOperationsDataflowProfileCollection collection = iotOperationsInstance.GetIotOperationsDataflowProfiles();
// invoke the operation
string dataflowProfileName = "aio-dataflowprofile";
IotOperationsDataflowProfileData data = new IotOperationsDataflowProfileData(new IotOperationsExtendedLocation("qmbrfwcpwwhggszhrdjv", IotOperationsExtendedLocationType.CustomLocation))
{
Properties = new IotOperationsDataflowProfileProperties
{
InstanceCount = 3,
},
};
ArmOperation<IotOperationsDataflowProfileResource> lro = await collection.CreateOrUpdateAsync(WaitUntil.Completed, dataflowProfileName, data);
IotOperationsDataflowProfileResource 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
IotOperationsDataflowProfileData 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
샘플 응답
{
"properties": {
"instanceCount": 3,
"provisioningState": "Succeeded"
},
"extendedLocation": {
"name": "qmbrfwcpwwhggszhrdjv",
"type": "CustomLocation"
},
"id": "/subscriptions/0000000-0000-0000-0000-000000000000/resourceGroups/resourceGroup123/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/resource-name123",
"name": "bwhcjsnnfnrmbixamyxjau",
"type": "ejvancsomtbapgztnerhlvx",
"systemData": {
"createdBy": "ssvaslsmudloholronopqyxjcu",
"createdByType": "User",
"createdAt": "2024-08-09T18:13:29.389Z",
"lastModifiedBy": "gnicpuszwd",
"lastModifiedByType": "User",
"lastModifiedAt": "2024-08-09T18:13:29.389Z"
}
}
Azure-AsyncOperation: https://contoso.com/operationstatus
{
"properties": {
"instanceCount": 3,
"provisioningState": "Succeeded"
},
"extendedLocation": {
"name": "qmbrfwcpwwhggszhrdjv",
"type": "CustomLocation"
},
"id": "/subscriptions/0000000-0000-0000-0000-000000000000/resourceGroups/resourceGroup123/providers/Microsoft.IoTOperations/instances/resource-name123/dataflowProfiles/resource-name123",
"name": "bwhcjsnnfnrmbixamyxjau",
"type": "ejvancsomtbapgztnerhlvx",
"systemData": {
"createdBy": "ssvaslsmudloholronopqyxjcu",
"createdByType": "User",
"createdAt": "2024-08-09T18:13:29.389Z",
"lastModifiedBy": "gnicpuszwd",
"lastModifiedByType": "User",
"lastModifiedAt": "2024-08-09T18:13:29.389Z"
}
}
정의
createdByType
열거형
리소스를 만든 ID의 형식입니다.
| 값 |
Description |
|
Application
|
|
|
Key
|
|
|
ManagedIdentity
|
|
|
User
|
|
DataflowProfileProperties
Object
DataflowProfile 리소스 속성
| Name |
형식 |
Default value |
Description |
|
diagnostics
|
ProfileDiagnostics
|
|
사양은 NBC 진단 설정의 원하는 ID를 정의합니다.
|
|
instanceCount
|
integer
(int32)
minimum: 1
maximum: 20
|
1
|
데이터 흐름 프로필의 크기를 수동으로 조정하려면 실행하려는 최대 인스턴스 수를 지정합니다.
|
|
provisioningState
|
ProvisioningState
|
|
마지막 작업의 상태입니다.
|
DataflowProfileResource
Object
인스턴스 dataflowProfile 리소스
| Name |
형식 |
Description |
|
extendedLocation
|
ExtendedLocation
|
리소스의 에지 위치입니다.
|
|
id
|
string
(arm-id)
|
리소스에 대한 정규화된 리소스 ID입니다. 예: "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}"
|
|
name
|
string
|
리소스의 이름
|
|
properties
|
DataflowProfileProperties
|
이 리소스에 대한 리소스별 속성입니다.
|
|
systemData
|
systemData
|
createdBy 및 modifiedBy 정보가 포함된 Azure Resource Manager 메타데이터입니다.
|
|
type
|
string
|
리소스의 형식입니다. 예: "Microsoft.Compute/virtualMachines" 또는 "Microsoft.Storage/storageAccounts"
|
DiagnosticsLogs
Object
진단 로그 속성
| Name |
형식 |
Default value |
Description |
|
level
|
string
|
info
|
로그 수준입니다. 예 - 'debug', 'info', 'warn', 'error', 'trace'.
|
ErrorAdditionalInfo
Object
리소스 관리 오류 추가 정보입니다.
| Name |
형식 |
Description |
|
info
|
object
|
추가 정보입니다.
|
|
type
|
string
|
추가 정보 유형입니다.
|
ErrorDetail
Object
오류 세부 정보입니다.
| Name |
형식 |
Description |
|
additionalInfo
|
ErrorAdditionalInfo[]
|
오류 추가 정보입니다.
|
|
code
|
string
|
오류 코드입니다.
|
|
details
|
ErrorDetail[]
|
오류 세부 정보입니다.
|
|
message
|
string
|
오류 메시지입니다.
|
|
target
|
string
|
오류 대상입니다.
|
ErrorResponse
Object
오류 응답
ExtendedLocation
Object
확장 위치는 Azure 위치의 확장입니다. Azure 서비스 인스턴스를 배포하기 위한 대상 위치로 Azure ARC 지원 Kubernetes 클러스터를 사용하는 방법을 제공합니다.
ExtendedLocationType
열거형
허용되는 ExtendedLocation의 열거형 정의 형식입니다.
| 값 |
Description |
|
CustomLocation
|
CustomLocation 유형
|
Metrics
Object
진단 메트릭 속성
| Name |
형식 |
Default value |
Description |
|
prometheusPort
|
integer
(int32)
minimum: 0
maximum: 65535
|
9600
|
메트릭을 노출할 prometheus 포트입니다.
|
ProfileDiagnostics
Object
DataflowProfile 진단 속성
ProvisioningState
열거형
리소스의 열거형 정의 상태입니다.
| 값 |
Description |
|
Accepted
|
리소스가 수락되었습니다.
|
|
Canceled
|
리소스 만들기가 취소되었습니다.
|
|
Deleting
|
리소스가 삭제되고 있습니다.
|
|
Failed
|
리소스를 만들지 못했습니다.
|
|
Provisioning
|
리소스가 프로비전되고 있습니다.
|
|
Succeeded
|
리소스가 만들어졌습니다.
|
|
Updating
|
리소스가 업데이트되고 있습니다.
|
systemData
Object
리소스의 생성 및 마지막 수정과 관련된 메타데이터입니다.
| Name |
형식 |
Description |
|
createdAt
|
string
(date-time)
|
리소스 만들기의 타임스탬프(UTC)입니다.
|
|
createdBy
|
string
|
리소스를 만든 ID입니다.
|
|
createdByType
|
createdByType
|
리소스를 만든 ID의 형식입니다.
|
|
lastModifiedAt
|
string
(date-time)
|
리소스 마지막 수정의 타임스탬프(UTC)
|
|
lastModifiedBy
|
string
|
리소스를 마지막으로 수정한 ID입니다.
|
|
lastModifiedByType
|
createdByType
|
리소스를 마지막으로 수정한 ID의 형식입니다.
|