영구 RUM 보존 필터 업데이트
https://api.datadoghq.com/api/v2/rum/applications/{app_id}/retention_filters/permanent/{permanent_rf_id}https://api.us3.datadoghq.com/api/v2/rum/applications/{app_id}/retention_filters/permanent/{permanent_rf_id}https://api.us5.datadoghq.com/api/v2/rum/applications/{app_id}/retention_filters/permanent/{permanent_rf_id}https://api.datadoghq.eu/api/v2/rum/applications/{app_id}/retention_filters/permanent/{permanent_rf_id}https://api.ap1.datadoghq.com/api/v2/rum/applications/{app_id}/retention_filters/permanent/{permanent_rf_id}https://api.ap2.datadoghq.com/api/v2/rum/applications/{app_id}/retention_filters/permanent/{permanent_rf_id}https://api.uk1.datadoghq.com/api/v2/rum/applications/{app_id}/retention_filters/permanent/{permanent_rf_id}https://api.ddog-gov.com/api/v2/rum/applications/{app_id}/retention_filters/permanent/{permanent_rf_id}https://api.us2.ddog-gov.com/api/v2/rum/applications/{app_id}/retention_filters/permanent/{permanent_rf_id}개요
RUM 애플리케이션에 대한 영구 RUM 보존 필터의 교차 제품 샘플링 구성을 업데이트합니다.
필터의 editability 블록에서 편집 가능으로 표시된 필드만 업데이트할 수 있습니다.
편집할 수 없는 필드를 업데이트하면 400 응답이 반환됩니다.
인수
경로 파라미터
app_id [required]RUM application ID.
permanent_rf_id [required]The identifier of the permanent RUM retention filter.
rum_apm_flat_sampling, synthetics_sessions, forced_replay_sessions요청
Body Data (required)
영구 RUM 보존 필터의 새 구성입니다.
data [required]업데이트할 영구 RUM 보존 필터 본문입니다.
attributes [required]The configuration to update on a permanent RUM retention filter.
cross_product_samplingThe configuration for cross-product retention filters. All fields are optional for partial updates.
trace_enabledWhether the cross-product retention filter for APM traces is enabled.
trace_sample_rateThe sample rate for the APM cross-product retention filter, between 0 and 100.
id [required]The identifier of a permanent RUM retention filter.
rum_apm_flat_sampling, synthetics_sessions, forced_replay_sessionstype [required]The type of the resource. The value should always be permanent_retention_filters.
permanent_retention_filterspermanent_retention_filters{
"data": {
"attributes": {
"cross_product_sampling": {
"trace_enabled": true,
"trace_sample_rate": 25
}
},
"id": "synthetics_sessions",
"type": "permanent_retention_filters"
}
}응답
Updated
A permanent RUM retention filter object.
dataA permanent RUM retention filter.
attributesThe attributes of a permanent RUM retention filter.
cross_product_samplingThe configuration for cross-product retention filters.
trace_enabledWhether the cross-product retention filter for APM traces is enabled.
trace_sample_rateThe sample rate for the APM cross-product retention filter, between 0 and 100. Values returned by the API are rounded to two decimal places.
descriptionA description of what the filter retains.
editabilityIndicates which cross-product fields of a permanent RUM retention filter can be updated.
trace_editableWhether the APM trace cross-product configuration of the filter can be updated.
nameThe display name of the permanent retention filter.
idThe identifier of a permanent RUM retention filter.
rum_apm_flat_sampling, synthetics_sessions, forced_replay_sessionstypeThe type of the resource. The value should always be permanent_retention_filters.
permanent_retention_filterspermanent_retention_filters{
"data": {
"attributes": {
"cross_product_sampling": {
"trace_enabled": true,
"trace_sample_rate": 25
},
"description": "All sessions generated by Synthetics are retained at 100%.",
"editability": {
"trace_editable": true
},
"name": "Synthetics Sessions"
},
"id": "synthetics_sessions",
"type": "permanent_retention_filters"
}
}Bad Request
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Not Authorized
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 app_id="CHANGE_ME"
export permanent_rf_id="synthetics_sessions"
# 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.${DD_SITE}/api/v2/rum/applications/${app_id}/retention_filters/permanent/${permanent_rf_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"cross_product_sampling": {
"trace_enabled": true,
"trace_sample_rate": 50
}
},
"id": "synthetics_sessions",
"type": "permanent_retention_filters"
}
}
EOF# Path parameters
export app_id="CHANGE_ME"
export permanent_rf_id="synthetics_sessions"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/rum/applications/${app_id}/retention_filters/permanent/${permanent_rf_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"cross_product_sampling": {
"trace_enabled": true,
"trace_sample_rate": 50
}
},
"id": "synthetics_sessions",
"type": "permanent_retention_filters"
}
}
EOF# Path parameters
export app_id="CHANGE_ME"
export permanent_rf_id="synthetics_sessions"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/rum/applications/${app_id}/retention_filters/permanent/${permanent_rf_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"cross_product_sampling": {
"trace_enabled": true,
"trace_sample_rate": 50
}
},
"id": "synthetics_sessions",
"type": "permanent_retention_filters"
}
}
EOF# Path parameters
export app_id="CHANGE_ME"
export permanent_rf_id="synthetics_sessions"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/rum/applications/${app_id}/retention_filters/permanent/${permanent_rf_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"cross_product_sampling": {
"trace_enabled": true,
"trace_sample_rate": 50
}
},
"id": "synthetics_sessions",
"type": "permanent_retention_filters"
}
}
EOF# Path parameters
export app_id="CHANGE_ME"
export permanent_rf_id="synthetics_sessions"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/rum/applications/${app_id}/retention_filters/permanent/${permanent_rf_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"cross_product_sampling": {
"trace_enabled": true,
"trace_sample_rate": 50
}
},
"id": "synthetics_sessions",
"type": "permanent_retention_filters"
}
}
EOF# Path parameters
export app_id="CHANGE_ME"
export permanent_rf_id="synthetics_sessions"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/rum/applications/${app_id}/retention_filters/permanent/${permanent_rf_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"cross_product_sampling": {
"trace_enabled": true,
"trace_sample_rate": 50
}
},
"id": "synthetics_sessions",
"type": "permanent_retention_filters"
}
}
EOF# Path parameters
export app_id="CHANGE_ME"
export permanent_rf_id="synthetics_sessions"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/rum/applications/${app_id}/retention_filters/permanent/${permanent_rf_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"cross_product_sampling": {
"trace_enabled": true,
"trace_sample_rate": 50
}
},
"id": "synthetics_sessions",
"type": "permanent_retention_filters"
}
}
EOF# Path parameters
export app_id="CHANGE_ME"
export permanent_rf_id="synthetics_sessions"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/rum/applications/${app_id}/retention_filters/permanent/${permanent_rf_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"cross_product_sampling": {
"trace_enabled": true,
"trace_sample_rate": 50
}
},
"id": "synthetics_sessions",
"type": "permanent_retention_filters"
}
}
EOF# Path parameters
export app_id="CHANGE_ME"
export permanent_rf_id="synthetics_sessions"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/rum/applications/${app_id}/retention_filters/permanent/${permanent_rf_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"cross_product_sampling": {
"trace_enabled": true,
"trace_sample_rate": 50
}
},
"id": "synthetics_sessions",
"type": "permanent_retention_filters"
}
}
EOF// Update a permanent RUM retention filter returns "Updated" 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.RumPermanentRetentionFilterUpdateRequest{
Data: datadogV2.RumPermanentRetentionFilterUpdateData{
Attributes: datadogV2.RumPermanentRetentionFilterUpdateAttributes{
CrossProductSampling: &datadogV2.RumCrossProductSamplingUpdate{
TraceEnabled: datadog.PtrBool(true),
TraceSampleRate: datadog.PtrFloat64(25.0),
},
},
Id: datadogV2.RUMPERMANENTRETENTIONFILTERID_SYNTHETICS_SESSIONS,
Type: datadogV2.RUMPERMANENTRETENTIONFILTERTYPE_PERMANENT_RETENTION_FILTERS,
},
}
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.NewRumRetentionFiltersApi(apiClient)
resp, r, err := api.UpdatePermanentRetentionFilter(ctx, "app_id", datadogV2.RUMPERMANENTRETENTIONFILTERID_SYNTHETICS_SESSIONS, body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `RumRetentionFiltersApi.UpdatePermanentRetentionFilter`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `RumRetentionFiltersApi.UpdatePermanentRetentionFilter`:\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 a permanent RUM retention filter returns "Updated" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.RumRetentionFiltersApi;
import com.datadog.api.client.v2.model.RumCrossProductSamplingUpdate;
import com.datadog.api.client.v2.model.RumPermanentRetentionFilterID;
import com.datadog.api.client.v2.model.RumPermanentRetentionFilterResponse;
import com.datadog.api.client.v2.model.RumPermanentRetentionFilterType;
import com.datadog.api.client.v2.model.RumPermanentRetentionFilterUpdateAttributes;
import com.datadog.api.client.v2.model.RumPermanentRetentionFilterUpdateData;
import com.datadog.api.client.v2.model.RumPermanentRetentionFilterUpdateRequest;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
RumRetentionFiltersApi apiInstance = new RumRetentionFiltersApi(defaultClient);
RumPermanentRetentionFilterUpdateRequest body =
new RumPermanentRetentionFilterUpdateRequest()
.data(
new RumPermanentRetentionFilterUpdateData()
.attributes(
new RumPermanentRetentionFilterUpdateAttributes()
.crossProductSampling(
new RumCrossProductSamplingUpdate()
.traceEnabled(true)
.traceSampleRate(25.0)))
.id(RumPermanentRetentionFilterID.SYNTHETICS_SESSIONS)
.type(RumPermanentRetentionFilterType.PERMANENT_RETENTION_FILTERS));
try {
RumPermanentRetentionFilterResponse result =
apiInstance.updatePermanentRetentionFilter(
"app_id", RumPermanentRetentionFilterID.SYNTHETICS_SESSIONS, body);
System.out.println(result);
} catch (ApiException e) {
System.err.println(
"Exception when calling RumRetentionFiltersApi#updatePermanentRetentionFilter");
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 a permanent RUM retention filter returns "Updated" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.rum_retention_filters_api import RumRetentionFiltersApi
from datadog_api_client.v2.model.rum_cross_product_sampling_update import RumCrossProductSamplingUpdate
from datadog_api_client.v2.model.rum_permanent_retention_filter_id import RumPermanentRetentionFilterID
from datadog_api_client.v2.model.rum_permanent_retention_filter_type import RumPermanentRetentionFilterType
from datadog_api_client.v2.model.rum_permanent_retention_filter_update_attributes import (
RumPermanentRetentionFilterUpdateAttributes,
)
from datadog_api_client.v2.model.rum_permanent_retention_filter_update_data import RumPermanentRetentionFilterUpdateData
from datadog_api_client.v2.model.rum_permanent_retention_filter_update_request import (
RumPermanentRetentionFilterUpdateRequest,
)
body = RumPermanentRetentionFilterUpdateRequest(
data=RumPermanentRetentionFilterUpdateData(
attributes=RumPermanentRetentionFilterUpdateAttributes(
cross_product_sampling=RumCrossProductSamplingUpdate(
trace_enabled=True,
trace_sample_rate=25.0,
),
),
id=RumPermanentRetentionFilterID.SYNTHETICS_SESSIONS,
type=RumPermanentRetentionFilterType.PERMANENT_RETENTION_FILTERS,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = RumRetentionFiltersApi(api_client)
response = api_instance.update_permanent_retention_filter(
app_id="app_id", permanent_rf_id=RumPermanentRetentionFilterID.SYNTHETICS_SESSIONS, 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 a permanent RUM retention filter returns "Updated" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::RumRetentionFiltersAPI.new
body = DatadogAPIClient::V2::RumPermanentRetentionFilterUpdateRequest.new({
data: DatadogAPIClient::V2::RumPermanentRetentionFilterUpdateData.new({
attributes: DatadogAPIClient::V2::RumPermanentRetentionFilterUpdateAttributes.new({
cross_product_sampling: DatadogAPIClient::V2::RumCrossProductSamplingUpdate.new({
trace_enabled: true,
trace_sample_rate: 25.0,
}),
}),
id: DatadogAPIClient::V2::RumPermanentRetentionFilterID::SYNTHETICS_SESSIONS,
type: DatadogAPIClient::V2::RumPermanentRetentionFilterType::PERMANENT_RETENTION_FILTERS,
}),
})
p api_instance.update_permanent_retention_filter("app_id", RumPermanentRetentionFilterID::SYNTHETICS_SESSIONS, 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 a permanent RUM retention filter returns "Updated" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_rum_retention_filters::RumRetentionFiltersAPI;
use datadog_api_client::datadogV2::model::RumCrossProductSamplingUpdate;
use datadog_api_client::datadogV2::model::RumPermanentRetentionFilterID;
use datadog_api_client::datadogV2::model::RumPermanentRetentionFilterType;
use datadog_api_client::datadogV2::model::RumPermanentRetentionFilterUpdateAttributes;
use datadog_api_client::datadogV2::model::RumPermanentRetentionFilterUpdateData;
use datadog_api_client::datadogV2::model::RumPermanentRetentionFilterUpdateRequest;
#[tokio::main]
async fn main() {
let body =
RumPermanentRetentionFilterUpdateRequest::new(RumPermanentRetentionFilterUpdateData::new(
RumPermanentRetentionFilterUpdateAttributes::new().cross_product_sampling(
RumCrossProductSamplingUpdate::new()
.trace_enabled(true)
.trace_sample_rate(25.0 as f64),
),
RumPermanentRetentionFilterID::SYNTHETICS_SESSIONS,
RumPermanentRetentionFilterType::PERMANENT_RETENTION_FILTERS,
));
let configuration = datadog::Configuration::new();
let api = RumRetentionFiltersAPI::with_config(configuration);
let resp = api
.update_permanent_retention_filter(
"app_id".to_string(),
RumPermanentRetentionFilterID::SYNTHETICS_SESSIONS,
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 a permanent RUM retention filter returns "Updated" 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.RumRetentionFiltersApi(configuration);
const params: v2.RumRetentionFiltersApiUpdatePermanentRetentionFilterRequest = {
body: {
data: {
attributes: {
crossProductSampling: {
traceEnabled: true,
traceSampleRate: 25.0,
},
},
id: "synthetics_sessions",
type: "permanent_retention_filters",
},
},
appId: "app_id",
permanentRfId: "synthetics_sessions",
};
apiInstance
.updatePermanentRetentionFilter(params)
.then((data: v2.RumPermanentRetentionFilterResponse) => {
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"