태그 인덱싱 규칙 재정렬
https://api.datadoghq.com/api/v2/metrics/tag-indexing-rules/orderhttps://api.us3.datadoghq.com/api/v2/metrics/tag-indexing-rules/orderhttps://api.us5.datadoghq.com/api/v2/metrics/tag-indexing-rules/orderhttps://api.datadoghq.eu/api/v2/metrics/tag-indexing-rules/orderhttps://api.ap1.datadoghq.com/api/v2/metrics/tag-indexing-rules/orderhttps://api.ap2.datadoghq.com/api/v2/metrics/tag-indexing-rules/orderhttps://api.uk1.datadoghq.com/api/v2/metrics/tag-indexing-rules/orderhttps://api.ddog-gov.com/api/v2/metrics/tag-indexing-rules/orderhttps://api.us2.ddog-gov.com/api/v2/metrics/tag-indexing-rules/order개요
조직의 태그 인덱싱 규칙을 제공된 규칙 UUID 목록과 일치하도록 원자적으로 재정렬합니다.
서버는 목록의 위치에 따라 각 규칙 UUID와 일치하는 rule_order 1, 2, …를 할당합니다.
모든 활성 규칙의 UUID를 제공해야 합니다. 활성 규칙 UUID를 누락하면 400 오류가 반환됩니다.
Manage Tags for Metrics 권한이 필요합니다.
OAuth apps require the metric_tags_write authorization scope to access this endpoint.
요청
Body Data (required)
data [required]태그 인덱싱 규칙 재정렬을 위한 요청 본문입니다.
attributes [required]Attributes for the reorder operation.
rule_idsOrdered list of tag indexing rule UUIDs. The server assigns rule_order 1, 2, … matching position in this list.
type [required]The tag indexing rule resource type.
tag_indexing_rulestag_indexing_rules{
"data": {
"attributes": {
"rule_ids": [
"00000000-0000-0000-0000-000000000001"
]
},
"type": "tag_indexing_rules"
}
}응답
No Content
Bad Request
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Forbidden
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Not Found
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Too Many Requests
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}코드 예시
# 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 POST "https://api.${DD_SITE}/api/v2/metrics/tag-indexing-rules/order" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"rule_ids": [
"00000000-0000-0000-0000-000000000001"
]
},
"type": "tag_indexing_rules"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/metrics/tag-indexing-rules/order" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"rule_ids": [
"00000000-0000-0000-0000-000000000001"
]
},
"type": "tag_indexing_rules"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/metrics/tag-indexing-rules/order" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"rule_ids": [
"00000000-0000-0000-0000-000000000001"
]
},
"type": "tag_indexing_rules"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/metrics/tag-indexing-rules/order" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"rule_ids": [
"00000000-0000-0000-0000-000000000001"
]
},
"type": "tag_indexing_rules"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/metrics/tag-indexing-rules/order" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"rule_ids": [
"00000000-0000-0000-0000-000000000001"
]
},
"type": "tag_indexing_rules"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/metrics/tag-indexing-rules/order" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"rule_ids": [
"00000000-0000-0000-0000-000000000001"
]
},
"type": "tag_indexing_rules"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/metrics/tag-indexing-rules/order" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"rule_ids": [
"00000000-0000-0000-0000-000000000001"
]
},
"type": "tag_indexing_rules"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/metrics/tag-indexing-rules/order" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"rule_ids": [
"00000000-0000-0000-0000-000000000001"
]
},
"type": "tag_indexing_rules"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/metrics/tag-indexing-rules/order" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"rule_ids": [
"00000000-0000-0000-0000-000000000001"
]
},
"type": "tag_indexing_rules"
}
}
EOF// Reorder tag indexing rules returns "No Content" response
package main
import (
"context"
"fmt"
"os"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)
func main() {
// there is a valid "tag_indexing_rule" in the system
TagIndexingRuleDataID := os.Getenv("TAG_INDEXING_RULE_DATA_ID")
body := datadogV2.TagIndexingRuleOrderRequest{
Data: datadogV2.TagIndexingRuleOrderData{
Attributes: datadogV2.TagIndexingRuleOrderAttributes{
RuleIds: []string{
TagIndexingRuleDataID,
},
},
Type: datadogV2.TAGINDEXINGRULETYPE_TAG_INDEXING_RULES,
},
}
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.ReorderTagIndexingRules", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewMetricsApi(apiClient)
r, err := api.ReorderTagIndexingRules(ctx, body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `MetricsApi.ReorderTagIndexingRules`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
}
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"// Reorder tag indexing rules returns "No Content" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.MetricsApi;
import com.datadog.api.client.v2.model.TagIndexingRuleOrderAttributes;
import com.datadog.api.client.v2.model.TagIndexingRuleOrderData;
import com.datadog.api.client.v2.model.TagIndexingRuleOrderRequest;
import com.datadog.api.client.v2.model.TagIndexingRuleType;
import java.util.Collections;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.reorderTagIndexingRules", true);
MetricsApi apiInstance = new MetricsApi(defaultClient);
// there is a valid "tag_indexing_rule" in the system
String TAG_INDEXING_RULE_DATA_ID = System.getenv("TAG_INDEXING_RULE_DATA_ID");
TagIndexingRuleOrderRequest body =
new TagIndexingRuleOrderRequest()
.data(
new TagIndexingRuleOrderData()
.attributes(
new TagIndexingRuleOrderAttributes()
.ruleIds(Collections.singletonList(TAG_INDEXING_RULE_DATA_ID)))
.type(TagIndexingRuleType.TAG_INDEXING_RULES));
try {
apiInstance.reorderTagIndexingRules(body);
} catch (ApiException e) {
System.err.println("Exception when calling MetricsApi#reorderTagIndexingRules");
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""""
Reorder tag indexing rules returns "No Content" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.metrics_api import MetricsApi
from datadog_api_client.v2.model.tag_indexing_rule_order_attributes import TagIndexingRuleOrderAttributes
from datadog_api_client.v2.model.tag_indexing_rule_order_data import TagIndexingRuleOrderData
from datadog_api_client.v2.model.tag_indexing_rule_order_request import TagIndexingRuleOrderRequest
from datadog_api_client.v2.model.tag_indexing_rule_type import TagIndexingRuleType
# there is a valid "tag_indexing_rule" in the system
TAG_INDEXING_RULE_DATA_ID = environ["TAG_INDEXING_RULE_DATA_ID"]
body = TagIndexingRuleOrderRequest(
data=TagIndexingRuleOrderData(
attributes=TagIndexingRuleOrderAttributes(
rule_ids=[
TAG_INDEXING_RULE_DATA_ID,
],
),
type=TagIndexingRuleType.TAG_INDEXING_RULES,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["reorder_tag_indexing_rules"] = True
with ApiClient(configuration) as api_client:
api_instance = MetricsApi(api_client)
api_instance.reorder_tag_indexing_rules(body=body)
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"# Reorder tag indexing rules returns "No Content" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.reorder_tag_indexing_rules".to_sym] = true
end
api_instance = DatadogAPIClient::V2::MetricsAPI.new
# there is a valid "tag_indexing_rule" in the system
TAG_INDEXING_RULE_DATA_ID = ENV["TAG_INDEXING_RULE_DATA_ID"]
body = DatadogAPIClient::V2::TagIndexingRuleOrderRequest.new({
data: DatadogAPIClient::V2::TagIndexingRuleOrderData.new({
attributes: DatadogAPIClient::V2::TagIndexingRuleOrderAttributes.new({
rule_ids: [
TAG_INDEXING_RULE_DATA_ID,
],
}),
type: DatadogAPIClient::V2::TagIndexingRuleType::TAG_INDEXING_RULES,
}),
})
api_instance.reorder_tag_indexing_rules(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"// Reorder tag indexing rules returns "No Content" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_metrics::MetricsAPI;
use datadog_api_client::datadogV2::model::TagIndexingRuleOrderAttributes;
use datadog_api_client::datadogV2::model::TagIndexingRuleOrderData;
use datadog_api_client::datadogV2::model::TagIndexingRuleOrderRequest;
use datadog_api_client::datadogV2::model::TagIndexingRuleType;
#[tokio::main]
async fn main() {
// there is a valid "tag_indexing_rule" in the system
let tag_indexing_rule_data_id = std::env::var("TAG_INDEXING_RULE_DATA_ID").unwrap();
let body = TagIndexingRuleOrderRequest::new(TagIndexingRuleOrderData::new(
TagIndexingRuleOrderAttributes::new().rule_ids(vec![tag_indexing_rule_data_id.clone()]),
TagIndexingRuleType::TAG_INDEXING_RULES,
));
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.reorder_tag_indexing_rules", true);
let api = MetricsAPI::with_config(configuration);
let resp = api.reorder_tag_indexing_rules(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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run/**
* Reorder tag indexing rules returns "No Content" response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
configuration.unstableOperations["v2.reorderTagIndexingRules"] = true;
const apiInstance = new v2.MetricsApi(configuration);
// there is a valid "tag_indexing_rule" in the system
const TAG_INDEXING_RULE_DATA_ID = process.env
.TAG_INDEXING_RULE_DATA_ID as string;
const params: v2.MetricsApiReorderTagIndexingRulesRequest = {
body: {
data: {
attributes: {
ruleIds: [TAG_INDEXING_RULE_DATA_ID],
},
type: "tag_indexing_rules",
},
},
};
apiInstance
.reorderTagIndexingRules(params)
.then((data: any) => {
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"