Disabling Smart Connect (Pay-per-Use Instance)
Function
This API is used to disable Smart Connect for a pay-per-use instance.
Calling Method
For details, see Calling APIs.
URI
POST /v2/{project_id}/kafka/instances/{instance_id}/delete-connector
Parameter |
Mandatory |
Type |
Description |
---|---|---|---|
project_id |
Yes |
String |
Project ID. For details about how to obtain it, see Obtaining a Project ID. |
instance_id |
Yes |
String |
Instance ID. |
Request Parameters
None
Response Parameters
Status code: 200
Parameter |
Type |
Description |
---|---|---|
job_id |
String |
ID of the job for asynchronously executing the deletion task. |
Example Requests
POST https://{endpoint}/v2/{project_id}/kafka/instances/{instance_id}/delete-connector
Example Responses
Status code: 200
Smart Connect disabling task submitted successfully.
{ "job_id" : "d366178c-29ea-4d5c-a344-fa2ece4a1836" }
SDK Sample Code
The SDK sample code is as follows.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
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 DeleteConnectorSolution { 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(); DeleteConnectorRequest request = new DeleteConnectorRequest(); request.withInstanceId("{instance_id}"); try { DeleteConnectorResponse response = client.deleteConnector(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()); } } } |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
# 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 = DeleteConnectorRequest() request.instance_id = "{instance_id}" response = client.delete_connector(request) print(response) except exceptions.ClientRequestException as e: print(e.status_code) print(e.request_id) print(e.error_code) print(e.error_msg) |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
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.DeleteConnectorRequest{} request.InstanceId = "{instance_id}" response, err := client.DeleteConnector(request) if err == nil { fmt.Printf("%+v\n", response) } else { fmt.Println(err) } } |
For SDK sample code of more programming languages, see the Sample Code tab in API Explorer. SDK sample code can be automatically generated.
Status Codes
Status Code |
Description |
---|---|
200 |
Smart Connect disabling task submitted successfully. |
Error Codes
See Error Codes.
Feedback
Was this page helpful?
Provide feedbackThank you very much for your feedback. We will continue working to improve the documentation.See the reply and handling status in My Cloud VOC.
For any further questions, feel free to contact us through the chatbot.
Chatbot