데이터세트 보고서 일정 목록 표시
https://api.datadoghq.com/api/v2/reporting/dataset/{dataset_id}/scheduleshttps://api.us3.datadoghq.com/api/v2/reporting/dataset/{dataset_id}/scheduleshttps://api.us5.datadoghq.com/api/v2/reporting/dataset/{dataset_id}/scheduleshttps://api.datadoghq.eu/api/v2/reporting/dataset/{dataset_id}/scheduleshttps://api.ap1.datadoghq.com/api/v2/reporting/dataset/{dataset_id}/scheduleshttps://api.ap2.datadoghq.com/api/v2/reporting/dataset/{dataset_id}/scheduleshttps://api.uk1.datadoghq.com/api/v2/reporting/dataset/{dataset_id}/scheduleshttps://api.ddog-gov.com/api/v2/reporting/dataset/{dataset_id}/scheduleshttps://api.us2.ddog-gov.com/api/v2/reporting/dataset/{dataset_id}/schedules개요
지정된 게시된 데이터 세트에 대한 모든 보고서 일정을 검색합니다.
인증된 사용자의 조직에 속하며 지정된 데이터셋을 대상으로 하는 보고서 일정을 반환합니다.
generate_log_reports 또는 manage_log_reports 권한이 필요합니다.
인수
경로 파라미터
dataset_id [required]The identifier of the published dataset to retrieve report schedules for.
응답
OK
Response containing a list of report schedules for a published dataset.
data [required]A list of report schedules for the dataset.
attributes [required]The configuration and derived state of a report schedule for a published dataset.
cell_id [required]The identifier of the notebook cell that published the dataset, or null if not set.
dataset_id [required]The identifier of the dataset, or null if not set.
description [required]The description of the report.
file_row_limit [required]The maximum number of rows included in the attached CSV file, or null if not set.
inline_row_limit [required]The maximum number of rows included inline in the email body, or null if not set.
next_recurrence [required]The Unix timestamp, in milliseconds, of the next scheduled delivery, or
null if none is scheduled.
notebook_id [required]The identifier of the notebook containing the dataset cell, or null if not set.
recipients [required]The recipients of the report (email addresses, Slack channel references, or Microsoft Teams channel references).
resource_id [required]The identifier of the widget containing the dataset.
resource_type [required]The type of resource targeted by a dataset report schedule.
widget_dataset_listrrule [required]The recurrence rule for the schedule, expressed as an iCalendar RRULE string.
status [required]Whether the schedule is currently delivering reports (active) or paused (inactive).
active, inactivetimeframe [required]The relative timeframe of data included in the report.
timezone [required]The IANA time zone identifier the recurrence rule is evaluated in.
title [required]The title of the report.
id [required]The unique identifier of the dataset report schedule.
relationships [required]Relationships for the report schedule.
author [required]Relationship to the author of the report schedule.
data [required]Relationship data for the author of the report schedule.
id [required]The user UUID of the report schedule author.
type [required]JSON:API resource type for the included report author.
userstype [required]JSON:API resource type for report schedules.
scheduleincludedRelated resources included with the report schedules, such as authors.
<type=users>A user included as a related JSON:API resource.
attributes [required]Attributes of the report author.
email [required]The email address of the report author, or null if unavailable.
name [required]The display name of the report author, or null if unavailable.
id [required]The user UUID.
type [required]JSON:API resource type for the included report author.
users<type=resource>A report target resource included as a related JSON:API resource.
attributes [required]Attributes of an included report target resource.
resource_type [required]The type of dashboard resource the report schedule targets.
dashboard, integration_dashboardtemplate_variablesTemplate variable metadata from the dashboard resource, when available.
available_valuesAvailable values for the template variable.
defaultsDefault values for the template variable.
nameThe template variable name.
prefixThe tag prefix for the template variable, when available.
titleThe title of the dashboard or integration dashboard resource, when available.
id [required]The resource identifier.
type [required]JSON:API resource type for an included report resource.
resource{
"data": [
{
"attributes": {
"cell_id": "sevhjcis",
"dataset_id": "MW5vdGVib29rX2NlbGw6ZDI0ZTM2MWMtZDFlNC00NDYwLWIyOWUtNTg3YTczMzA3MDFm",
"description": "This is a scheduled notebook dataset report.",
"file_row_limit": 5000,
"inline_row_limit": 10,
"next_recurrence": 1725859200000,
"notebook_id": 1,
"recipients": [
"test@datadoghq.com"
],
"resource_id": "aaaabbbb-1111-2222-3333-444455556666",
"resource_type": "widget_dataset_list",
"rrule": "DTSTART;TZID=America/New_York:20240912T090000\nRRULE:FREQ=DAILY;BYHOUR=9;BYMINUTE=0",
"status": "active",
"timeframe": "calendar_day",
"timezone": "America/New_York",
"title": "My Cool Dataset Report"
},
"id": "e1234567-1234-1234-1234-123456789012",
"relationships": {
"author": {
"data": {
"id": "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
"type": "users"
}
}
},
"type": "schedule"
}
],
"included": [
{
"attributes": {
"email": "user@example.com",
"name": "Example User"
},
"id": "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
"type": "users"
}
]
}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.
{
"errors": [
"Bad Request"
]
}코드 예시
# Path parameters
export dataset_id="MW5vdGVib29rX2NlbGw6ZDI0ZTM2MWMtZDFlNC00NDYwLWIyOWUtNTg3YTczMzA3MDFm"
# 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.${DD_SITE}/api/v2/reporting/dataset/${dataset_id}/schedules" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="MW5vdGVib29rX2NlbGw6ZDI0ZTM2MWMtZDFlNC00NDYwLWIyOWUtNTg3YTczMzA3MDFm"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/reporting/dataset/${dataset_id}/schedules" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="MW5vdGVib29rX2NlbGw6ZDI0ZTM2MWMtZDFlNC00NDYwLWIyOWUtNTg3YTczMzA3MDFm"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/reporting/dataset/${dataset_id}/schedules" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="MW5vdGVib29rX2NlbGw6ZDI0ZTM2MWMtZDFlNC00NDYwLWIyOWUtNTg3YTczMzA3MDFm"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/reporting/dataset/${dataset_id}/schedules" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="MW5vdGVib29rX2NlbGw6ZDI0ZTM2MWMtZDFlNC00NDYwLWIyOWUtNTg3YTczMzA3MDFm"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/reporting/dataset/${dataset_id}/schedules" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="MW5vdGVib29rX2NlbGw6ZDI0ZTM2MWMtZDFlNC00NDYwLWIyOWUtNTg3YTczMzA3MDFm"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/reporting/dataset/${dataset_id}/schedules" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="MW5vdGVib29rX2NlbGw6ZDI0ZTM2MWMtZDFlNC00NDYwLWIyOWUtNTg3YTczMzA3MDFm"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/reporting/dataset/${dataset_id}/schedules" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="MW5vdGVib29rX2NlbGw6ZDI0ZTM2MWMtZDFlNC00NDYwLWIyOWUtNTg3YTczMzA3MDFm"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/reporting/dataset/${dataset_id}/schedules" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="MW5vdGVib29rX2NlbGw6ZDI0ZTM2MWMtZDFlNC00NDYwLWIyOWUtNTg3YTczMzA3MDFm"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/reporting/dataset/${dataset_id}/schedules" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"// List dataset report schedules 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() {
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.NewReportSchedulesApi(apiClient)
resp, r, err := api.ListDatasetReportSchedules(ctx, "dataset_id")
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `ReportSchedulesApi.ListDatasetReportSchedules`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `ReportSchedulesApi.ListDatasetReportSchedules`:\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"// List dataset report schedules returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.ReportSchedulesApi;
import com.datadog.api.client.v2.model.DatasetReportScheduleListResponse;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
ReportSchedulesApi apiInstance = new ReportSchedulesApi(defaultClient);
try {
DatasetReportScheduleListResponse result =
apiInstance.listDatasetReportSchedules(
"MW5vdGVib29rX2NlbGw6ZDI0ZTM2MWMtZDFlNC00NDYwLWIyOWUtNTg3YTczMzA3MDFm");
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling ReportSchedulesApi#listDatasetReportSchedules");
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""""
List dataset report schedules returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.report_schedules_api import ReportSchedulesApi
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = ReportSchedulesApi(api_client)
response = api_instance.list_dataset_report_schedules(
dataset_id="dataset_id",
)
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"# List dataset report schedules returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::ReportSchedulesAPI.new
p api_instance.list_dataset_report_schedules("dataset_id")
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"// List dataset report schedules returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_report_schedules::ReportSchedulesAPI;
#[tokio::main]
async fn main() {
let configuration = datadog::Configuration::new();
let api = ReportSchedulesAPI::with_config(configuration);
let resp = api
.list_dataset_report_schedules("dataset_id".to_string())
.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/**
* List dataset report schedules 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.ReportSchedulesApi(configuration);
const params: v2.ReportSchedulesApiListDatasetReportSchedulesRequest = {
datasetId: "dataset_id",
};
apiInstance
.listDatasetReportSchedules(params)
.then((data: v2.DatasetReportScheduleListResponse) => {
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"