批量删除消息积压诊断报告
功能介绍
批量删除消息积压诊断报告
调用方法
请参见如何调用API。
URI
DELETE /v2/{project_id}/kafka/instances/{instance_id}/message-diagnosis-tasks
参数 |
是否必选 |
参数类型 |
描述 |
---|---|---|---|
project_id |
是 |
String |
项目ID,获取方式请参见获取项目ID。 |
instance_id |
是 |
String |
实例ID |
请求参数
参数 |
是否必选 |
参数类型 |
描述 |
---|---|---|---|
report_id_list |
是 |
Array of strings |
待删除report id列表 |
请求示例
批量删除消息积压诊断报告。
DELETE https://{endpoint}/v2/{project_id}/kafka/instances/{instance_id}/message-diagnosis-tasks { "report_id_list" : [ "0e35a9f4-e75d-4fd6-b230-280860f666f7" ] }
响应示例
状态码: 200
批量删除消息积压诊断报告成功
{ "results" : [ { "result" : "true", "id" : "0e35a9f4-e75d-4fd6-b230-280860f666f7" } ] }
SDK代码示例
SDK代码示例如下。
批量删除消息积压诊断报告。
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package com.huaweicloud.sdk.test; import com.huaweicloud.sdk.core.auth.ICredential; import com.huaweicloud.sdk.core.auth.BasicCredentials; import com.huaweicloud.sdk.core.exception.ConnectionException; import com.huaweicloud.sdk.core.exception.RequestTimeoutException; import com.huaweicloud.sdk.core.exception.ServiceResponseException; import com.huaweicloud.sdk.kafka.v2.region.KafkaRegion; import com.huaweicloud.sdk.kafka.v2.*; import com.huaweicloud.sdk.kafka.v2.model.*; import java.util.List; import java.util.ArrayList; public class BatchDeleteMessageDiagnosisReportsSolution { public static void main(String[] args) { // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security. // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment String ak = System.getenv("CLOUD_SDK_AK"); String sk = System.getenv("CLOUD_SDK_SK"); String projectId = "{project_id}"; ICredential auth = new BasicCredentials() .withProjectId(projectId) .withAk(ak) .withSk(sk); KafkaClient client = KafkaClient.newBuilder() .withCredential(auth) .withRegion(KafkaRegion.valueOf("<YOUR REGION>")) .build(); BatchDeleteMessageDiagnosisReportsRequest request = new BatchDeleteMessageDiagnosisReportsRequest(); request.withInstanceId("{instance_id}"); BatchDeleteMessageDiagnosisReportsReq body = new BatchDeleteMessageDiagnosisReportsReq(); List<String> listbodyReportIdList = new ArrayList<>(); listbodyReportIdList.add("0e35a9f4-e75d-4fd6-b230-280860f666f7"); body.withReportIdList(listbodyReportIdList); request.withBody(body); try { BatchDeleteMessageDiagnosisReportsResponse response = client.batchDeleteMessageDiagnosisReports(request); System.out.println(response.toString()); } catch (ConnectionException e) { e.printStackTrace(); } catch (RequestTimeoutException e) { e.printStackTrace(); } catch (ServiceResponseException e) { e.printStackTrace(); System.out.println(e.getHttpStatusCode()); System.out.println(e.getRequestId()); System.out.println(e.getErrorCode()); System.out.println(e.getErrorMsg()); } } } |
批量删除消息积压诊断报告。
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# coding: utf-8 import os from huaweicloudsdkcore.auth.credentials import BasicCredentials from huaweicloudsdkkafka.v2.region.kafka_region import KafkaRegion from huaweicloudsdkcore.exceptions import exceptions from huaweicloudsdkkafka.v2 import * if __name__ == "__main__": # The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security. # In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.environ["CLOUD_SDK_AK"] sk = os.environ["CLOUD_SDK_SK"] projectId = "{project_id}" credentials = BasicCredentials(ak, sk, projectId) client = KafkaClient.new_builder() \ .with_credentials(credentials) \ .with_region(KafkaRegion.value_of("<YOUR REGION>")) \ .build() try: request = BatchDeleteMessageDiagnosisReportsRequest() request.instance_id = "{instance_id}" listReportIdListbody = [ "0e35a9f4-e75d-4fd6-b230-280860f666f7" ] request.body = BatchDeleteMessageDiagnosisReportsReq( report_id_list=listReportIdListbody ) response = client.batch_delete_message_diagnosis_reports(request) print(response) except exceptions.ClientRequestException as e: print(e.status_code) print(e.request_id) print(e.error_code) print(e.error_msg) |
批量删除消息积压诊断报告。
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package main import ( "fmt" "github.com/huaweicloud/huaweicloud-sdk-go-v3/core/auth/basic" kafka "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/kafka/v2" "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/kafka/v2/model" region "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/kafka/v2/region" ) func main() { // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security. // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak := os.Getenv("CLOUD_SDK_AK") sk := os.Getenv("CLOUD_SDK_SK") projectId := "{project_id}" auth := basic.NewCredentialsBuilder(). WithAk(ak). WithSk(sk). WithProjectId(projectId). Build() client := kafka.NewKafkaClient( kafka.KafkaClientBuilder(). WithRegion(region.ValueOf("<YOUR REGION>")). WithCredential(auth). Build()) request := &model.BatchDeleteMessageDiagnosisReportsRequest{} request.InstanceId = "{instance_id}" var listReportIdListbody = []string{ "0e35a9f4-e75d-4fd6-b230-280860f666f7", } request.Body = &model.BatchDeleteMessageDiagnosisReportsReq{ ReportIdList: listReportIdListbody, } response, err := client.BatchDeleteMessageDiagnosisReports(request) if err == nil { fmt.Printf("%+v\n", response) } else { fmt.Println(err) } } |
更多编程语言的SDK代码示例,请参见API Explorer的代码示例页签,可生成自动对应的SDK代码示例。
状态码
状态码 |
描述 |
---|---|
200 |
批量删除消息积压诊断报告成功 |
错误码
请参见错误码。