启动已暂停的Smart Connect任务
功能介绍
启动已暂停的Smart Connect任务。
调用方法
请参见如何调用API。
URI
PUT /v2/{project_id}/instances/{instance_id}/connector/tasks/{task_id}/resume
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。 |
task_id |
是 |
String |
Smart Connect任务ID。 |
请求参数
无
响应参数
无
请求示例
PUT https://{endpoint}/v2/{project_id}/instances/{instance_id}/connector/tasks/{task_id}/resume
响应示例
无
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 ResumeConnectorTaskSolution { 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(); ResumeConnectorTaskRequest request = new ResumeConnectorTaskRequest(); request.withInstanceId("{instance_id}"); request.withTaskId("{task_id}"); try { ResumeConnectorTaskResponse response = client.resumeConnectorTask(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 = ResumeConnectorTaskRequest() request.instance_id = "{instance_id}" request.task_id = "{task_id}" response = client.resume_connector_task(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.ResumeConnectorTaskRequest{} request.InstanceId = "{instance_id}" request.TaskId = "{task_id}" response, err := client.ResumeConnectorTask(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 |
---|---|
204 |
启动已暂停的Smart Connect任务成功。 |
错误码
请参见错误码。