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Diagnostic - Update

服务:

API Management

API 版本:

2022-08-01

汇报标识符指定的诊断的详细信息。

PATCH https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ApiManagement/service/{serviceName}/diagnostics/{diagnosticId}?api-version=2022-08-01

URI 参数

名称	在	必需	类型	说明
diagnosticId	path	True	string	诊断标识符。 在当前API 管理服务实例中必须是唯一的。 正则表达式模式: ^[^*#&+:<>?]+$
resourceGroupName	path	True	string	资源组的名称。 此名称不区分大小写。
serviceName	path	True	string	API 管理服务的名称。 正则表达式模式: ^[a-zA-Z](?:[a-zA-Z0-9-]*[a-zA-Z0-9])?$
subscriptionId	path	True	string	目标订阅的 ID。
api-version	query	True	string	要用于此操作的 API 版本。

请求头

名称	必需	类型	说明
If-Match	True	string	实体的 ETag。 ETag 应与 GET 请求标头响应中的当前实体状态匹配，或者对于无条件更新，ETag 应为 *。

请求正文

名称	必需	类型	说明
properties.loggerId	True	string	目标记录器的资源 ID。
properties.alwaysLog		AlwaysLog	指定不应应用哪些类型的消息采样设置。
properties.backend		PipelineDiagnosticSettings	传入/传出 HTTP 消息到后端的诊断设置
properties.frontend		PipelineDiagnosticSettings	传入/传出 HTTP 消息到网关的诊断设置。
properties.httpCorrelationProtocol		HttpCorrelationProtocol	设置要用于 Application Insights 诊断的相关协议。
properties.logClientIp		boolean	记录 ClientIP。 默认值为 false。
properties.metrics		boolean	通过发出指标策略发出自定义指标。 仅适用于 Application Insights 诊断设置。
properties.operationNameFormat		OperationNameFormat	Application Insights 遥测的操作名称的格式。 默认值为“名称”。
properties.sampling		SamplingSettings	诊断的采样设置。
properties.verbosity		Verbosity	应用于跟踪策略发出的跟踪的详细级别。

响应

名称	类型	说明
200 OK	DiagnosticContract	已成功更新诊断 标头 ETag: string
Other Status Codes	ErrorResponse	描述操作失败原因的错误响应。

安全性

azure_auth

Azure Active Directory OAuth2 Flow。

类型: oauth2
流向: implicit
授权 URL: https://login.microsoftonline.com/common/oauth2/authorize

作用域

名称	说明
user_impersonation	模拟用户帐户

示例

ApiManagementUpdateDiagnostic

示例请求

HTTP

PATCH https://management.azure.com/subscriptions/subid/resourceGroups/rg1/providers/Microsoft.ApiManagement/service/apimService1/diagnostics/applicationinsights?api-version=2022-08-01


{
  "properties": {
    "alwaysLog": "allErrors",
    "loggerId": "/loggers/applicationinsights",
    "sampling": {
      "samplingType": "fixed",
      "percentage": 50
    },
    "frontend": {
      "request": {
        "headers": [
          "Content-type"
        ],
        "body": {
          "bytes": 512
        }
      },
      "response": {
        "headers": [
          "Content-type"
        ],
        "body": {
          "bytes": 512
        }
      }
    },
    "backend": {
      "request": {
        "headers": [
          "Content-type"
        ],
        "body": {
          "bytes": 512
        }
      },
      "response": {
        "headers": [
          "Content-type"
        ],
        "body": {
          "bytes": 512
        }
      }
    }
  }
}

Java

import com.azure.resourcemanager.apimanagement.fluent.models.DiagnosticContractInner;
import com.azure.resourcemanager.apimanagement.models.AlwaysLog;
import com.azure.resourcemanager.apimanagement.models.BodyDiagnosticSettings;
import com.azure.resourcemanager.apimanagement.models.HttpMessageDiagnostic;
import com.azure.resourcemanager.apimanagement.models.PipelineDiagnosticSettings;
import com.azure.resourcemanager.apimanagement.models.SamplingSettings;
import com.azure.resourcemanager.apimanagement.models.SamplingType;
import java.util.Arrays;

/** Samples for Diagnostic Update. */
public final class Main {
    /*
     * x-ms-original-file: specification/apimanagement/resource-manager/Microsoft.ApiManagement/stable/2022-08-01/examples/ApiManagementUpdateDiagnostic.json
     */
    /**
     * Sample code: ApiManagementUpdateDiagnostic.
     *
     * @param manager Entry point to ApiManagementManager.
     */
    public static void apiManagementUpdateDiagnostic(
        com.azure.resourcemanager.apimanagement.ApiManagementManager manager) {
        manager
            .diagnostics()
            .updateWithResponse(
                "rg1",
                "apimService1",
                "applicationinsights",
                "*",
                new DiagnosticContractInner()
                    .withAlwaysLog(AlwaysLog.ALL_ERRORS)
                    .withLoggerId("/loggers/applicationinsights")
                    .withSampling(new SamplingSettings().withSamplingType(SamplingType.FIXED).withPercentage(50.0D))
                    .withFrontend(
                        new PipelineDiagnosticSettings()
                            .withRequest(
                                new HttpMessageDiagnostic()
                                    .withHeaders(Arrays.asList("Content-type"))
                                    .withBody(new BodyDiagnosticSettings().withBytes(512)))
                            .withResponse(
                                new HttpMessageDiagnostic()
                                    .withHeaders(Arrays.asList("Content-type"))
                                    .withBody(new BodyDiagnosticSettings().withBytes(512))))
                    .withBackend(
                        new PipelineDiagnosticSettings()
                            .withRequest(
                                new HttpMessageDiagnostic()
                                    .withHeaders(Arrays.asList("Content-type"))
                                    .withBody(new BodyDiagnosticSettings().withBytes(512)))
                            .withResponse(
                                new HttpMessageDiagnostic()
                                    .withHeaders(Arrays.asList("Content-type"))
                                    .withBody(new BodyDiagnosticSettings().withBytes(512)))),
                com.azure.core.util.Context.NONE);
    }
}

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

Python

from typing import Any, IO, Union

from azure.identity import DefaultAzureCredential

from azure.mgmt.apimanagement import ApiManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-apimanagement
# USAGE
    python api_management_update_diagnostic.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 = ApiManagementClient(
        credential=DefaultAzureCredential(),
        subscription_id="subid",
    )

    response = client.diagnostic.update(
        resource_group_name="rg1",
        service_name="apimService1",
        diagnostic_id="applicationinsights",
        if_match="*",
        parameters={
            "properties": {
                "alwaysLog": "allErrors",
                "backend": {
                    "request": {"body": {"bytes": 512}, "headers": ["Content-type"]},
                    "response": {"body": {"bytes": 512}, "headers": ["Content-type"]},
                },
                "frontend": {
                    "request": {"body": {"bytes": 512}, "headers": ["Content-type"]},
                    "response": {"body": {"bytes": 512}, "headers": ["Content-type"]},
                },
                "loggerId": "/loggers/applicationinsights",
                "sampling": {"percentage": 50, "samplingType": "fixed"},
            }
        },
    )
    print(response)


# x-ms-original-file: specification/apimanagement/resource-manager/Microsoft.ApiManagement/stable/2022-08-01/examples/ApiManagementUpdateDiagnostic.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 armapimanagement_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/apimanagement/armapimanagement/v2"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/4cd95123fb961c68740565a1efcaa5e43bd35802/specification/apimanagement/resource-manager/Microsoft.ApiManagement/stable/2022-08-01/examples/ApiManagementUpdateDiagnostic.json
func ExampleDiagnosticClient_Update() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := armapimanagement.NewClientFactory("<subscription-id>", cred, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	res, err := clientFactory.NewDiagnosticClient().Update(ctx, "rg1", "apimService1", "applicationinsights", "*", armapimanagement.DiagnosticContract{
		Properties: &armapimanagement.DiagnosticContractProperties{
			AlwaysLog: to.Ptr(armapimanagement.AlwaysLogAllErrors),
			Backend: &armapimanagement.PipelineDiagnosticSettings{
				Response: &armapimanagement.HTTPMessageDiagnostic{
					Body: &armapimanagement.BodyDiagnosticSettings{
						Bytes: to.Ptr[int32](512),
					},
					Headers: []*string{
						to.Ptr("Content-type")},
				},
				Request: &armapimanagement.HTTPMessageDiagnostic{
					Body: &armapimanagement.BodyDiagnosticSettings{
						Bytes: to.Ptr[int32](512),
					},
					Headers: []*string{
						to.Ptr("Content-type")},
				},
			},
			Frontend: &armapimanagement.PipelineDiagnosticSettings{
				Response: &armapimanagement.HTTPMessageDiagnostic{
					Body: &armapimanagement.BodyDiagnosticSettings{
						Bytes: to.Ptr[int32](512),
					},
					Headers: []*string{
						to.Ptr("Content-type")},
				},
				Request: &armapimanagement.HTTPMessageDiagnostic{
					Body: &armapimanagement.BodyDiagnosticSettings{
						Bytes: to.Ptr[int32](512),
					},
					Headers: []*string{
						to.Ptr("Content-type")},
				},
			},
			LoggerID: to.Ptr("/loggers/applicationinsights"),
			Sampling: &armapimanagement.SamplingSettings{
				Percentage:   to.Ptr[float64](50),
				SamplingType: to.Ptr(armapimanagement.SamplingTypeFixed),
			},
		},
	}, 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.DiagnosticContract = armapimanagement.DiagnosticContract{
	// 	Name: to.Ptr("applicationinsights"),
	// 	Type: to.Ptr("Microsoft.ApiManagement/service/diagnostics"),
	// 	ID: to.Ptr("/subscriptions/subid/resourceGroups/rg1/providers/Microsoft.ApiManagement/service/apimService1/diagnostics/applicationinsights"),
	// 	Properties: &armapimanagement.DiagnosticContractProperties{
	// 		AlwaysLog: to.Ptr(armapimanagement.AlwaysLogAllErrors),
	// 		Backend: &armapimanagement.PipelineDiagnosticSettings{
	// 			Response: &armapimanagement.HTTPMessageDiagnostic{
	// 				Body: &armapimanagement.BodyDiagnosticSettings{
	// 					Bytes: to.Ptr[int32](512),
	// 				},
	// 				Headers: []*string{
	// 					to.Ptr("Content-type")},
	// 				},
	// 				Request: &armapimanagement.HTTPMessageDiagnostic{
	// 					Body: &armapimanagement.BodyDiagnosticSettings{
	// 						Bytes: to.Ptr[int32](512),
	// 					},
	// 					Headers: []*string{
	// 						to.Ptr("Content-type")},
	// 					},
	// 				},
	// 				Frontend: &armapimanagement.PipelineDiagnosticSettings{
	// 					Response: &armapimanagement.HTTPMessageDiagnostic{
	// 						Body: &armapimanagement.BodyDiagnosticSettings{
	// 							Bytes: to.Ptr[int32](512),
	// 						},
	// 						Headers: []*string{
	// 							to.Ptr("Content-type")},
	// 						},
	// 						Request: &armapimanagement.HTTPMessageDiagnostic{
	// 							Body: &armapimanagement.BodyDiagnosticSettings{
	// 								Bytes: to.Ptr[int32](512),
	// 							},
	// 							Headers: []*string{
	// 								to.Ptr("Content-type")},
	// 							},
	// 						},
	// 						HTTPCorrelationProtocol: to.Ptr(armapimanagement.HTTPCorrelationProtocolLegacy),
	// 						LogClientIP: to.Ptr(true),
	// 						LoggerID: to.Ptr("/subscriptions/subid/resourceGroups/rg1/providers/Microsoft.ApiManagement/service/apimService1/loggers/aisamplingtest"),
	// 						Sampling: &armapimanagement.SamplingSettings{
	// 							Percentage: to.Ptr[float64](50),
	// 							SamplingType: to.Ptr(armapimanagement.SamplingTypeFixed),
	// 						},
	// 					},
	// 				}
}

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 { ApiManagementClient } = require("@azure/arm-apimanagement");
const { DefaultAzureCredential } = require("@azure/identity");

/**
 * This sample demonstrates how to Updates the details of the Diagnostic specified by its identifier.
 *
 * @summary Updates the details of the Diagnostic specified by its identifier.
 * x-ms-original-file: specification/apimanagement/resource-manager/Microsoft.ApiManagement/stable/2022-08-01/examples/ApiManagementUpdateDiagnostic.json
 */
async function apiManagementUpdateDiagnostic() {
  const subscriptionId = process.env["APIMANAGEMENT_SUBSCRIPTION_ID"] || "subid";
  const resourceGroupName = process.env["APIMANAGEMENT_RESOURCE_GROUP"] || "rg1";
  const serviceName = "apimService1";
  const diagnosticId = "applicationinsights";
  const ifMatch = "*";
  const parameters = {
    alwaysLog: "allErrors",
    backend: {
      response: { body: { bytes: 512 }, headers: ["Content-type"] },
      request: { body: { bytes: 512 }, headers: ["Content-type"] },
    },
    frontend: {
      response: { body: { bytes: 512 }, headers: ["Content-type"] },
      request: { body: { bytes: 512 }, headers: ["Content-type"] },
    },
    loggerId: "/loggers/applicationinsights",
    sampling: { percentage: 50, samplingType: "fixed" },
  };
  const credential = new DefaultAzureCredential();
  const client = new ApiManagementClient(credential, subscriptionId);
  const result = await client.diagnostic.update(
    resourceGroupName,
    serviceName,
    diagnosticId,
    ifMatch,
    parameters
  );
  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.ApiManagement.Models;
using Azure.ResourceManager.ApiManagement;

// Generated from example definition: specification/apimanagement/resource-manager/Microsoft.ApiManagement/stable/2022-08-01/examples/ApiManagementUpdateDiagnostic.json
// this example is just showing the usage of "Diagnostic_Update" 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 ApiManagementDiagnosticResource created on azure
// for more information of creating ApiManagementDiagnosticResource, please refer to the document of ApiManagementDiagnosticResource
string subscriptionId = "subid";
string resourceGroupName = "rg1";
string serviceName = "apimService1";
string diagnosticId = "applicationinsights";
ResourceIdentifier apiManagementDiagnosticResourceId = ApiManagementDiagnosticResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, serviceName, diagnosticId);
ApiManagementDiagnosticResource apiManagementDiagnostic = client.GetApiManagementDiagnosticResource(apiManagementDiagnosticResourceId);

// invoke the operation
ETag ifMatch = new ETag("*");
DiagnosticContractData data = new DiagnosticContractData()
{
    AlwaysLog = AlwaysLog.AllErrors,
    LoggerId = "/loggers/applicationinsights",
    Sampling = new SamplingSettings()
    {
        SamplingType = SamplingType.Fixed,
        Percentage = 50,
    },
    Frontend = new PipelineDiagnosticSettings()
    {
        Request = new HttpMessageDiagnostic()
        {
            Headers =
            {
            "Content-type"
            },
            BodyBytes = 512,
        },
        Response = new HttpMessageDiagnostic()
        {
            Headers =
            {
            "Content-type"
            },
            BodyBytes = 512,
        },
    },
    Backend = new PipelineDiagnosticSettings()
    {
        Request = new HttpMessageDiagnostic()
        {
            Headers =
            {
            "Content-type"
            },
            BodyBytes = 512,
        },
        Response = new HttpMessageDiagnostic()
        {
            Headers =
            {
            "Content-type"
            },
            BodyBytes = 512,
        },
    },
};
ApiManagementDiagnosticResource result = await apiManagementDiagnostic.UpdateAsync(ifMatch, data);

// 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
DiagnosticContractData 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

示例响应

状态代码:

200

{
  "id": "/subscriptions/subid/resourceGroups/rg1/providers/Microsoft.ApiManagement/service/apimService1/diagnostics/applicationinsights",
  "type": "Microsoft.ApiManagement/service/diagnostics",
  "name": "applicationinsights",
  "properties": {
    "alwaysLog": "allErrors",
    "httpCorrelationProtocol": "Legacy",
    "logClientIp": true,
    "loggerId": "/subscriptions/subid/resourceGroups/rg1/providers/Microsoft.ApiManagement/service/apimService1/loggers/aisamplingtest",
    "sampling": {
      "samplingType": "fixed",
      "percentage": 50
    },
    "frontend": {
      "request": {
        "headers": [
          "Content-type"
        ],
        "body": {
          "bytes": 512
        }
      },
      "response": {
        "headers": [
          "Content-type"
        ],
        "body": {
          "bytes": 512
        }
      }
    },
    "backend": {
      "request": {
        "headers": [
          "Content-type"
        ],
        "body": {
          "bytes": 512
        }
      },
      "response": {
        "headers": [
          "Content-type"
        ],
        "body": {
          "bytes": 512
        }
      }
    }
  }
}

定义

名称	说明
AlwaysLog	指定不应应用哪些类型的消息采样设置。
BodyDiagnosticSettings	正文日志记录设置。
DataMasking
DataMaskingEntity
DataMaskingMode	数据掩码模式。
DiagnosticContract	诊断详细信息。
ErrorFieldContract	错误字段协定。
ErrorResponse	错误响应。
HttpCorrelationProtocol	设置要用于 Application Insights 诊断的相关协议。
HttpMessageDiagnostic	Http 消息诊断设置。
OperationNameFormat	Application Insights 遥测的操作名称的格式。 默认值为“名称”。
PipelineDiagnosticSettings	传入/传出 HTTP 消息到网关的诊断设置。
SamplingSettings	诊断的采样设置。
SamplingType	采样类型。
Verbosity	应用于跟踪策略发出的跟踪的详细级别。

AlwaysLog

指定不应应用哪些类型的消息采样设置。

名称	类型	说明
allErrors	string	无论采样设置如何，始终记录所有错误请求。

BodyDiagnosticSettings

正文日志记录设置。

名称	类型	说明
bytes	integer	要记录的请求正文字节数。

DataMasking

名称	类型	说明
headers	DataMaskingEntity[]	标头的掩码设置
queryParams	DataMaskingEntity[]	URL 查询参数的掩码设置

DataMaskingEntity

名称	类型	说明
mode	DataMaskingMode	数据掩码模式。
value	string	要屏蔽的实体的名称 (例如标头的名称或查询参数) 。

DataMaskingMode

数据掩码模式。

名称	类型	说明
Hide	string	隐藏实体的存在。
Mask	string	屏蔽实体的值。

DiagnosticContract

诊断详细信息。

名称	类型	说明
id	string	资源的完全限定的资源 ID。 例如 - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
name	string	资源的名称
properties.alwaysLog	AlwaysLog	指定不应应用哪些类型的消息采样设置。
properties.backend	PipelineDiagnosticSettings	传入/传出 HTTP 消息到后端的诊断设置
properties.frontend	PipelineDiagnosticSettings	传入/传出 HTTP 消息到网关的诊断设置。
properties.httpCorrelationProtocol	HttpCorrelationProtocol	设置要用于 Application Insights 诊断的相关协议。
properties.logClientIp	boolean	记录 ClientIP。 默认值为 false。
properties.loggerId	string	目标记录器的资源 ID。
properties.metrics	boolean	通过发出指标策略发出自定义指标。 仅适用于 Application Insights 诊断设置。
properties.operationNameFormat	OperationNameFormat	Application Insights 遥测的操作名称的格式。 默认值为“名称”。
properties.sampling	SamplingSettings	诊断的采样设置。
properties.verbosity	Verbosity	应用于跟踪策略发出的跟踪的详细级别。
type	string	资源类型。 例如“Microsoft.Compute/virtualMachines”或“Microsoft.Storage/storageAccounts”

ErrorFieldContract

错误字段协定。

名称	类型	说明
code	string	属性级错误代码。
message	string	属性级错误的可读表示形式。
target	string	属性名称。

ErrorResponse

错误响应。

名称	类型	说明
error.code	string	服务定义的错误代码。 此代码用作响应中指定的 HTTP 错误代码的子状态。
error.details	ErrorFieldContract[]	在发生验证错误的情况下，在请求中发送的无效字段列表。
error.message	string	错误的用户可读表示形式。

HttpCorrelationProtocol

设置要用于 Application Insights 诊断的相关协议。

名称	类型	说明
Legacy	string	使用请求关联数据注入 Request-Id 和 Request-Context 标头。 请参阅 https://github.com/dotnet/corefx/blob/master/src/System.Diagnostics.DiagnosticSource/src/HttpCorrelationProtocol.md。
None	string	不要读取和注入相关标头。
W3C	string	注入跟踪上下文标头。 请参阅 https://w3c.github.io/trace-context。

HttpMessageDiagnostic

Http 消息诊断设置。

名称	类型	说明
body	BodyDiagnosticSettings	正文日志记录设置。
dataMasking	DataMasking	数据掩码设置。
headers	string[]	要记录的 HTTP 标头数组。

OperationNameFormat

Application Insights 遥测的操作名称的格式。 默认值为“名称”。

名称	类型	说明
Name	string	API_NAME;rev=API_REVISION - OPERATION_NAME
Url	string	HTTP_VERB URL

PipelineDiagnosticSettings

传入/传出 HTTP 消息到网关的诊断设置。

名称	类型	说明
request	HttpMessageDiagnostic	请求的诊断设置。
response	HttpMessageDiagnostic	响应的诊断设置。

SamplingSettings

诊断的采样设置。

名称	类型	说明
percentage	number	固定速率采样的采样率。
samplingType	SamplingType	采样类型。

SamplingType

采样类型。

名称	类型	说明
fixed	string	固定速率采样。

Verbosity

应用于跟踪策略发出的跟踪的详细级别。

名称	类型	说明
error	string	只有将“严重性”设置为“error”的跟踪才会发送到附加到此诊断实例的记录器。
information	string	将“严重性”设置为“information”和“error”的跟踪将发送到附加到此诊断实例的记录器。
verbose	string	跟踪策略发出的所有跟踪都将发送到附加到此诊断实例的记录器。