Confluent 계정 리소스 업데이트
https://api.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources/{resource_id}https://api.us3.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources/{resource_id}https://api.us5.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources/{resource_id}https://api.datadoghq.eu/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources/{resource_id}https://api.ap1.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources/{resource_id}https://api.ap2.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources/{resource_id}https://api.uk1.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources/{resource_id}https://api.ddog-gov.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources/{resource_id}https://api.us2.ddog-gov.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources/{resource_id}개요
제공된 계정 ID와 연결된 계정에 대해 제공된 리소스 ID로 Confluent 리소스를 업데이트합니다.
인수
경로 파라미터
account_id [required]Confluent Account ID.
resource_id [required]Confluent Account Resource ID.
요청
Body Data (required)
Confluent 페이로드
data [required]Confluent 리소스 업데이트를 위한 JSON:API 요청입니다.
attributes [required]Attributes object for updating a Confluent resource.
enable_custom_metricsEnable the custom.consumer_lag_offset metric, which contains extra metric tags.
falseresource_type [required]The resource type of the Resource. Can be kafka, connector, ksql, schema_registry, or flink.
tagsA list of strings representing tags. Can be a single key, or key-value pairs separated by a colon.
id [required]The ID associated with a Confluent resource.
type [required]The JSON:API type for this request.
confluent-cloud-resourcesconfluent-cloud-resources{
"data": {
"attributes": {
"enable_custom_metrics": false,
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "resource-id-123",
"type": "confluent-cloud-resources"
}
}응답
OK
Response schema when interacting with a Confluent resource.
dataConfluent Cloud resource data.
attributes [required]Model representation of a Confluent Cloud resource.
enable_custom_metricsEnable the custom.consumer_lag_offset metric, which contains extra metric tags.
falseidThe ID associated with the Confluent resource.
resource_type [required]The resource type of the Resource. Can be kafka, connector, ksql, schema_registry, or flink.
tagsA list of strings representing tags. Can be a single key, or key-value pairs separated by a colon.
id [required]The ID associated with the Confluent resource.
type [required]The JSON:API type for this request.
confluent-cloud-resourcesconfluent-cloud-resources{
"data": {
"attributes": {
"enable_custom_metrics": false,
"id": "resource_id_abc123",
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "resource_id_abc123",
"type": "confluent-cloud-resources"
}
}Bad Request
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Forbidden
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Not Found
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Too many requests
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}코드 예시
# Path parameters
export account_id="CHANGE_ME"
export resource_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts/${account_id}/resources/${resource_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"enable_custom_metrics": false,
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "resource-id-123",
"type": "confluent-cloud-resources"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
export resource_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts/${account_id}/resources/${resource_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"enable_custom_metrics": false,
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "resource-id-123",
"type": "confluent-cloud-resources"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
export resource_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts/${account_id}/resources/${resource_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"enable_custom_metrics": false,
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "resource-id-123",
"type": "confluent-cloud-resources"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
export resource_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts/${account_id}/resources/${resource_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"enable_custom_metrics": false,
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "resource-id-123",
"type": "confluent-cloud-resources"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
export resource_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts/${account_id}/resources/${resource_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"enable_custom_metrics": false,
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "resource-id-123",
"type": "confluent-cloud-resources"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
export resource_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts/${account_id}/resources/${resource_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"enable_custom_metrics": false,
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "resource-id-123",
"type": "confluent-cloud-resources"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
export resource_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts/${account_id}/resources/${resource_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"enable_custom_metrics": false,
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "resource-id-123",
"type": "confluent-cloud-resources"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
export resource_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts/${account_id}/resources/${resource_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"enable_custom_metrics": false,
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "resource-id-123",
"type": "confluent-cloud-resources"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
export resource_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integrations/confluent-cloud/accounts/${account_id}/resources/${resource_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"enable_custom_metrics": false,
"resource_type": "kafka",
"tags": [
"myTag",
"myTag2:myValue"
]
},
"id": "resource-id-123",
"type": "confluent-cloud-resources"
}
}
EOF// Update resource in Confluent account returns "OK" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)
func main() {
body := datadogV2.ConfluentResourceRequest{
Data: datadogV2.ConfluentResourceRequestData{
Attributes: datadogV2.ConfluentResourceRequestAttributes{
EnableCustomMetrics: datadog.PtrBool(false),
ResourceType: "kafka",
Tags: []string{
"myTag",
"myTag2:myValue",
},
},
Id: "resource-id-123",
Type: datadogV2.CONFLUENTRESOURCETYPE_CONFLUENT_CLOUD_RESOURCES,
},
}
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewConfluentCloudApi(apiClient)
resp, r, err := api.UpdateConfluentResource(ctx, "account_id", "resource_id", body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `ConfluentCloudApi.UpdateConfluentResource`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `ConfluentCloudApi.UpdateConfluentResource`:\n%s\n", responseContent)
}
Instructions
First install the library and its dependencies and then save the example to main.go and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"// Update resource in Confluent account returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.ConfluentCloudApi;
import com.datadog.api.client.v2.model.ConfluentResourceRequest;
import com.datadog.api.client.v2.model.ConfluentResourceRequestAttributes;
import com.datadog.api.client.v2.model.ConfluentResourceRequestData;
import com.datadog.api.client.v2.model.ConfluentResourceResponse;
import com.datadog.api.client.v2.model.ConfluentResourceType;
import java.util.Arrays;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
ConfluentCloudApi apiInstance = new ConfluentCloudApi(defaultClient);
ConfluentResourceRequest body =
new ConfluentResourceRequest()
.data(
new ConfluentResourceRequestData()
.attributes(
new ConfluentResourceRequestAttributes()
.enableCustomMetrics(false)
.resourceType("kafka")
.tags(Arrays.asList("myTag", "myTag2:myValue")))
.id("resource-id-123")
.type(ConfluentResourceType.CONFLUENT_CLOUD_RESOURCES));
try {
ConfluentResourceResponse result =
apiInstance.updateConfluentResource("account_id", "resource_id", body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling ConfluentCloudApi#updateConfluentResource");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
Instructions
First install the library and its dependencies and then save the example to Example.java and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java""""
Update resource in Confluent account returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.confluent_cloud_api import ConfluentCloudApi
from datadog_api_client.v2.model.confluent_resource_request import ConfluentResourceRequest
from datadog_api_client.v2.model.confluent_resource_request_attributes import ConfluentResourceRequestAttributes
from datadog_api_client.v2.model.confluent_resource_request_data import ConfluentResourceRequestData
from datadog_api_client.v2.model.confluent_resource_type import ConfluentResourceType
body = ConfluentResourceRequest(
data=ConfluentResourceRequestData(
attributes=ConfluentResourceRequestAttributes(
enable_custom_metrics=False,
resource_type="kafka",
tags=[
"myTag",
"myTag2:myValue",
],
),
id="resource-id-123",
type=ConfluentResourceType.CONFLUENT_CLOUD_RESOURCES,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = ConfluentCloudApi(api_client)
response = api_instance.update_confluent_resource(account_id="account_id", resource_id="resource_id", body=body)
print(response)
Instructions
First install the library and its dependencies and then save the example to example.py and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"# Update resource in Confluent account returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::ConfluentCloudAPI.new
body = DatadogAPIClient::V2::ConfluentResourceRequest.new({
data: DatadogAPIClient::V2::ConfluentResourceRequestData.new({
attributes: DatadogAPIClient::V2::ConfluentResourceRequestAttributes.new({
enable_custom_metrics: false,
resource_type: "kafka",
tags: [
"myTag",
"myTag2:myValue",
],
}),
id: "resource-id-123",
type: DatadogAPIClient::V2::ConfluentResourceType::CONFLUENT_CLOUD_RESOURCES,
}),
})
p api_instance.update_confluent_resource("account_id", "resource_id", body)
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"// Update resource in Confluent account returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_confluent_cloud::ConfluentCloudAPI;
use datadog_api_client::datadogV2::model::ConfluentResourceRequest;
use datadog_api_client::datadogV2::model::ConfluentResourceRequestAttributes;
use datadog_api_client::datadogV2::model::ConfluentResourceRequestData;
use datadog_api_client::datadogV2::model::ConfluentResourceType;
#[tokio::main]
async fn main() {
let body = ConfluentResourceRequest::new(ConfluentResourceRequestData::new(
ConfluentResourceRequestAttributes::new("kafka".to_string())
.enable_custom_metrics(false)
.tags(vec!["myTag".to_string(), "myTag2:myValue".to_string()]),
"resource-id-123".to_string(),
ConfluentResourceType::CONFLUENT_CLOUD_RESOURCES,
));
let configuration = datadog::Configuration::new();
let api = ConfluentCloudAPI::with_config(configuration);
let resp = api
.update_confluent_resource("account_id".to_string(), "resource_id".to_string(), body)
.await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Instructions
First install the library and its dependencies and then save the example to src/main.rs and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run/**
* Update resource in Confluent account returns "OK" response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
const apiInstance = new v2.ConfluentCloudApi(configuration);
const params: v2.ConfluentCloudApiUpdateConfluentResourceRequest = {
body: {
data: {
attributes: {
enableCustomMetrics: false,
resourceType: "kafka",
tags: ["myTag", "myTag2:myValue"],
},
id: "resource-id-123",
type: "confluent-cloud-resources",
},
},
accountId: "account_id",
resourceId: "resource_id",
};
apiInstance
.updateConfluentResource(params)
.then((data: v2.ConfluentResourceResponse) => {
console.log(
"API called successfully. Returned data: " + JSON.stringify(data)
);
})
.catch((error: any) => console.error(error));
Instructions
First install the library and its dependencies and then save the example to example.ts and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"