시간별 평균 기준 모든 사용자 지정 메트릭 가져오기
GET
https://api.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.us3.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.us5.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.datadoghq.eu/api/v1/usage/top_avg_metricshttps://api.ap1.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.ap2.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.uk1.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.ddog-gov.com/api/v1/usage/top_avg_metricshttps://api.us2.ddog-gov.com/api/v1/usage/top_avg_metrics개요
시간당 평균으로 모든 사용자 지정 메트릭을 가져옵니다. month 파라미터를 사용하여 월간 누계 데이터 분석 정보를 가져오거나 day 파라미터를 사용하여 일간 분석 정보를 가져옵니다. 둘 중 하나의 파라미터를 반드시 사용해야 하며, 둘 중 하나만 허용됩니다.
OAuth apps require the usage_read authorization scope to access this endpoint.
인수
쿼리 문자열
이름
유형
설명
monthstring
Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage beginning at this hour. (Either month or day should be specified, but not both)
daystring
Datetime in ISO-8601 format, UTC, precise to day: [YYYY-MM-DD] for usage beginning at this hour. (Either month or day should be specified, but not both)
namesarray
Comma-separated list of metric names.
limitinteger
Maximum number of results to return (between 1 and 5000) - defaults to 500 results if limit not specified.
500next_record_idstring
List following results with a next_record_id provided in the previous query.
응답
OK
Response containing the number of hourly recorded custom metrics for a given organization.
항목
유형
설명
metadataobject
The object containing document metadata.
daydate-time
The day value from the user request that contains the returned usage data. (If day was used the request)
monthdate-time
The month value from the user request that contains the returned usage data. (If month was used the request)
paginationobject
The metadata for the current pagination.
limitint64
Maximum amount of records to be returned.
next_record_idstring
The cursor to get the next results (if any). To make the next request, use the same parameters and add next_record_id.
total_number_of_recordsint64
Total number of records.
usage[object]
Number of hourly recorded custom metrics for a given organization.
avg_metric_hourint64
Average number of timeseries per hour in which the metric occurs.
max_metric_hourint64
Maximum number of timeseries per hour in which the metric occurs.
metric_categoryenum
Contains the metric category.
Allowed enum values:
standard, custommetric_namestring
Contains the custom metric name.
{
"metadata": {
"day": "2019-09-19T10:00:00.000Z",
"month": "2019-09-19T10:00:00.000Z",
"pagination": {
"limit": "integer",
"next_record_id": "string",
"total_number_of_records": "integer"
}
},
"usage": [
{
"avg_metric_hour": "integer",
"max_metric_hour": "integer",
"metric_category": "string",
"metric_name": "string"
}
]
}Bad Request
Error response object.
항목
유형
설명
errors [required][string]
Array of errors returned by the API.
{
"errors": [
"Bad Request"
]
}Forbidden - User is not authorized
Error response object.
항목
유형
설명
errors [required][string]
Array of errors returned by the API.
{
"errors": [
"Bad Request"
]
}Too many requests
Error response object.
항목
유형
설명
errors [required][string]
Array of errors returned by the API.
{
"errors": [
"Bad Request"
]
}코드 예시
시간별 평균 기준 모든 사용자 지정 메트릭 가져오기
# 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 GET "https://api.${DD_SITE}/api/v1/usage/top_avg_metrics" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v1/usage/top_avg_metrics" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v1/usage/top_avg_metrics" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v1/usage/top_avg_metrics" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v1/usage/top_avg_metrics" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v1/usage/top_avg_metrics" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v1/usage/top_avg_metrics" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v1/usage/top_avg_metrics" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v1/usage/top_avg_metrics" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"시간별 평균 기준 모든 사용자 지정 메트릭 가져오기
// Get all custom metrics by hourly average returns "OK" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"time"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)
func main() {
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
apiClient := datadog.NewAPIClient(configuration)
api := datadogV1.NewUsageMeteringApi(apiClient)
resp, r, err := api.GetUsageTopAvgMetrics(ctx, *datadogV1.NewGetUsageTopAvgMetricsOptionalParameters().WithDay(time.Now().AddDate(0, 0, -3)))
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageTopAvgMetrics`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageTopAvgMetrics`:\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"시간별 평균 기준 모든 사용자 지정 메트릭 가져오기
// Get all custom metrics by hourly average returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageTopAvgMetricsOptionalParameters;
import com.datadog.api.client.v1.model.UsageTopAvgMetricsResponse;
import java.time.OffsetDateTime;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);
try {
UsageTopAvgMetricsResponse result =
apiInstance.getUsageTopAvgMetrics(
new GetUsageTopAvgMetricsOptionalParameters().day(OffsetDateTime.now().plusDays(-3)));
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling UsageMeteringApi#getUsageTopAvgMetrics");
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"시간별 평균 기준 모든 사용자 지정 메트릭 가져오기
"""
Get all custom metrics by hourly average returns "OK" response
"""
from datetime import datetime
from dateutil.relativedelta import relativedelta
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = UsageMeteringApi(api_client)
response = api_instance.get_usage_top_avg_metrics(
day=(datetime.now() + relativedelta(days=-3)),
)
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"시간별 평균 기준 모든 사용자 지정 메트릭 가져오기
# Get all custom metrics by hourly average returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
day: (Time.now + -3 * 86400),
}
p api_instance.get_usage_top_avg_metrics(opts)
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"시간별 평균 기준 모든 사용자 지정 메트릭 가져오기
// Get all custom metrics by hourly average returns "OK" response
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_usage_metering::GetUsageTopAvgMetricsOptionalParams;
use datadog_api_client::datadogV1::api_usage_metering::UsageMeteringAPI;
#[tokio::main]
async fn main() {
let configuration = datadog::Configuration::new();
let api = UsageMeteringAPI::with_config(configuration);
let resp = api
.get_usage_top_avg_metrics(
GetUsageTopAvgMetricsOptionalParams::default().day(
DateTime::parse_from_rfc3339("2021-11-08T11:11:11+00:00")
.expect("Failed to parse datetime")
.with_timezone(&Utc),
),
)
.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 run시간별 평균 기준 모든 사용자 지정 메트릭 가져오기
/**
* Get all custom metrics by hourly average returns "OK" response
*/
import { client, v1 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
const apiInstance = new v1.UsageMeteringApi(configuration);
const params: v1.UsageMeteringApiGetUsageTopAvgMetricsRequest = {
day: new Date(new Date().getTime() + -3 * 86400 * 1000),
};
apiInstance
.getUsageTopAvgMetrics(params)
.then((data: v1.UsageTopAvgMetricsResponse) => {
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"