查询消息积压诊断报告列表
功能介绍
查询消息积压诊断报告列表
调用方法
请参见如何调用API。
URI
GET /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 |
参数 |
是否必选 |
参数类型 |
描述 |
---|---|---|---|
offset |
否 |
Integer |
偏移量,表示查询该偏移量后面的记录 |
limit |
否 |
Integer |
查询返回记录的数量限制 |
请求参数
无
响应参数
状态码: 200
参数 |
参数类型 |
描述 |
---|---|---|
report_list |
Array of KafkaMessageDiagnosisReportInfoEntity objects |
诊断报告列表 |
total_num |
Integer |
诊断报告总数 |
参数 |
参数类型 |
描述 |
---|---|---|
report_id |
String |
诊断报告ID |
status |
String |
消息积压诊断任务状态。
|
begin_time |
String |
诊断任务开始时间 |
end_time |
String |
诊断任务结束时间 |
group_name |
String |
该次诊断任务诊断的消费组名称 |
topic_name |
String |
该次诊断任务诊断的topic名称 |
accumulated_partitions |
Integer |
该次诊断任务发现的存在消息堆积的分区数 |
请求示例
查询消息积压诊断报告列表。
GET https://{endpoint}/v2/{project_id}/kafka/instances/{instance_id}/message-diagnosis-tasks?offset=1&limit=10
响应示例
状态码: 200
查询消息积压诊断报告列表成功
{ "report_list" : [ { "report_id" : "89b202d5-1f34-4a89-af9d-698496d0b7b1", "status" : "diagnosing", "begin_time" : "2022-11-11T10:00:00.000Z", "end_time" : "2022-11-11T10:00:00.000Z", "group_name" : "group-test", "topic_name" : "topic-test", "accumulated_partitions" : 3 } ], "total_num" : 1 }
SDK代码示例
SDK代码示例如下。
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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.*; public class ListMessageDiagnosisReportsSolution { 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(); ListMessageDiagnosisReportsRequest request = new ListMessageDiagnosisReportsRequest(); request.withInstanceId("{instance_id}"); try { ListMessageDiagnosisReportsResponse response = client.listMessageDiagnosisReports(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()); } } } |
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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 = ListMessageDiagnosisReportsRequest() request.instance_id = "{instance_id}" response = client.list_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) |
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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.ListMessageDiagnosisReportsRequest{} request.InstanceId = "{instance_id}" response, err := client.ListMessageDiagnosisReports(request) if err == nil { fmt.Printf("%+v\n", response) } else { fmt.Println(err) } } |
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状态码
状态码 |
描述 |
---|---|
200 |
查询消息积压诊断报告列表成功 |
错误码
请参见错误码。