Create a RUM-based metric

POST https://api.ap1.datadoghq.com/api/v2/rum/config/metricshttps://api.ap2.datadoghq.com/api/v2/rum/config/metricshttps://api.datadoghq.eu/api/v2/rum/config/metricshttps://api.ddog-gov.com/api/v2/rum/config/metricshttps://api.us2.ddog-gov.com/api/v2/rum/config/metricshttps://api.datadoghq.com/api/v2/rum/config/metricshttps://api.us3.datadoghq.com/api/v2/rum/config/metricshttps://api.us5.datadoghq.com/api/v2/rum/config/metrics

Overview

Create a metric based on your organization’s RUM data. Returns the RUM-based metric object from the request body when the request is successful.

Request

Body Data (required)

The definition of the new RUM-based metric.

Expand All

Field

Type

Description

data [required]

object

The new RUM-based metric properties.

attributes [required]

object

The object describing the Datadog RUM-based metric to create.

compute [required]

object

The compute rule to compute the RUM-based metric.

aggregation_type [required]

enum

The type of aggregation to use. Allowed enum values: count,distribution

include_percentiles

boolean

Toggle to include or exclude percentile aggregations for distribution metrics. Only present when aggregation_type is distribution.

path

string

The path to the value the RUM-based metric will aggregate on. Only present when aggregation_type is distribution.

event_type [required]

enum

The type of RUM events to filter on. Allowed enum values: session,view,action,error,resource,long_task,vital

filter

object

The RUM-based metric filter. Events matching this filter will be aggregated in this metric.

query [required]

string

The search query - following the RUM search syntax.

default: *

group_by

[object]

The rules for the group by.

path [required]

string

The path to the value the RUM-based metric will be aggregated over.

tag_name

string

Eventual name of the tag that gets created. By default, path is used as the tag name.

uniqueness

object

The rule to count updatable events. Is only set if event_type is sessions or views.

when [required]

enum

When to count updatable events. match when the event is first seen, or end when the event is complete. Allowed enum values: match,end

id [required]

string

The name of the RUM-based metric.

type [required]

enum

The type of the resource. The value should always be rum_metrics. Allowed enum values: rum_metrics

default: rum_metrics

{
  "data": {
    "attributes": {
      "compute": {
        "aggregation_type": "distribution",
        "include_percentiles": true,
        "path": "@duration"
      },
      "event_type": "session",
      "filter": {
        "query": "@service:web-ui"
      },
      "group_by": [
        {
          "path": "@browser.name",
          "tag_name": "browser_name"
        }
      ],
      "uniqueness": {
        "when": "match"
      }
    },
    "id": "examplerummetric",
    "type": "rum_metrics"
  }
}

Response

Created

The RUM-based metric object.

Expand All

Field

Type

Description

data

object

The RUM-based metric properties.

attributes

object

The object describing a Datadog RUM-based metric.

compute

object

The compute rule to compute the RUM-based metric.

aggregation_type

enum

The type of aggregation to use. Allowed enum values: count,distribution

include_percentiles

boolean

Toggle to include or exclude percentile aggregations for distribution metrics. Only present when aggregation_type is distribution.

path

string

The path to the value the RUM-based metric will aggregate on. Only present when aggregation_type is distribution.

event_type

enum

The type of RUM events to filter on. Allowed enum values: session,view,action,error,resource,long_task,vital

filter

object

The RUM-based metric filter. RUM events matching this filter will be aggregated in this metric.

query

string

The search query - following the RUM search syntax.

group_by

[object]

The rules for the group by.

path

string

The path to the value the RUM-based metric will be aggregated over.

tag_name

string

Eventual name of the tag that gets created. By default, path is used as the tag name.

uniqueness

object

The rule to count updatable events. Is only set if event_type is session or view.

when

enum

When to count updatable events. match when the event is first seen, or end when the event is complete. Allowed enum values: match,end

id

string

The name of the RUM-based metric.

type

enum

The type of the resource. The value should always be rum_metrics. Allowed enum values: rum_metrics

default: rum_metrics

{
  "data": {
    "attributes": {
      "compute": {
        "aggregation_type": "distribution",
        "include_percentiles": true,
        "path": "@duration"
      },
      "event_type": "session",
      "filter": {
        "query": "service:web* AND @http.status_code:[200 TO 299]"
      },
      "group_by": [
        {
          "path": "@http.status_code",
          "tag_name": "status_code"
        }
      ],
      "uniqueness": {
        "when": "match"
      }
    },
    "id": "rum.sessions.webui.count",
    "type": "rum_metrics"
  }
}

Bad Request

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Not Authorized

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Conflict

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Code Example

                          ## default
# 

# Curl command
curl -X POST "https://api.ap1.datadoghq.com"https://api.ap2.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.us2.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/rum/config/metrics" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "compute": { "aggregation_type": "distribution", "include_percentiles": true, "path": "@duration" }, "event_type": "session", "filter": { "query": "@service:web-api" }, "group_by": [ { "path": "@browser.name", "tag_name": "browser_name" } ], "uniqueness": { "when": "match" } }, "id": "rum.sessions.web.count", "type": "rum_metrics" } } EOF
// Create a rum-based metric returns "Created" 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.RumMetricCreateRequest{
		Data: datadogV2.RumMetricCreateData{
			Attributes: datadogV2.RumMetricCreateAttributes{
				Compute: datadogV2.RumMetricCompute{
					AggregationType:    datadogV2.RUMMETRICCOMPUTEAGGREGATIONTYPE_DISTRIBUTION,
					IncludePercentiles: datadog.PtrBool(true),
					Path:               datadog.PtrString("@duration"),
				},
				EventType: datadogV2.RUMMETRICEVENTTYPE_SESSION,
				Filter: &datadogV2.RumMetricFilter{
					Query: "@service:web-ui",
				},
				GroupBy: []datadogV2.RumMetricGroupBy{
					{
						Path:    "@browser.name",
						TagName: datadog.PtrString("browser_name"),
					},
				},
				Uniqueness: &datadogV2.RumMetricUniqueness{
					When: datadogV2.RUMMETRICUNIQUENESSWHEN_WHEN_MATCH,
				},
			},
			Id:   "examplerummetric",
			Type: datadogV2.RUMMETRICTYPE_RUM_METRICS,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewRumMetricsApi(apiClient)
	resp, r, err := api.CreateRumMetric(ctx, body)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `RumMetricsApi.CreateRumMetric`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `RumMetricsApi.CreateRumMetric`:\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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" go run "main.go"
// Create a rum-based metric returns "Created" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.RumMetricsApi;
import com.datadog.api.client.v2.model.RumMetricCompute;
import com.datadog.api.client.v2.model.RumMetricComputeAggregationType;
import com.datadog.api.client.v2.model.RumMetricCreateAttributes;
import com.datadog.api.client.v2.model.RumMetricCreateData;
import com.datadog.api.client.v2.model.RumMetricCreateRequest;
import com.datadog.api.client.v2.model.RumMetricEventType;
import com.datadog.api.client.v2.model.RumMetricFilter;
import com.datadog.api.client.v2.model.RumMetricGroupBy;
import com.datadog.api.client.v2.model.RumMetricResponse;
import com.datadog.api.client.v2.model.RumMetricType;
import com.datadog.api.client.v2.model.RumMetricUniqueness;
import com.datadog.api.client.v2.model.RumMetricUniquenessWhen;
import java.util.Collections;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    RumMetricsApi apiInstance = new RumMetricsApi(defaultClient);

    RumMetricCreateRequest body =
        new RumMetricCreateRequest()
            .data(
                new RumMetricCreateData()
                    .attributes(
                        new RumMetricCreateAttributes()
                            .compute(
                                new RumMetricCompute()
                                    .aggregationType(RumMetricComputeAggregationType.DISTRIBUTION)
                                    .includePercentiles(true)
                                    .path("@duration"))
                            .eventType(RumMetricEventType.SESSION)
                            .filter(new RumMetricFilter().query("@service:web-ui"))
                            .groupBy(
                                Collections.singletonList(
                                    new RumMetricGroupBy()
                                        .path("@browser.name")
                                        .tagName("browser_name")))
                            .uniqueness(
                                new RumMetricUniqueness().when(RumMetricUniquenessWhen.WHEN_MATCH)))
                    .id("examplerummetric")
                    .type(RumMetricType.RUM_METRICS));

    try {
      RumMetricResponse result = apiInstance.createRumMetric(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling RumMetricsApi#createRumMetric");
      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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"
"""
Create a rum-based metric returns "Created" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.rum_metrics_api import RumMetricsApi
from datadog_api_client.v2.model.rum_metric_compute import RumMetricCompute
from datadog_api_client.v2.model.rum_metric_compute_aggregation_type import RumMetricComputeAggregationType
from datadog_api_client.v2.model.rum_metric_create_attributes import RumMetricCreateAttributes
from datadog_api_client.v2.model.rum_metric_create_data import RumMetricCreateData
from datadog_api_client.v2.model.rum_metric_create_request import RumMetricCreateRequest
from datadog_api_client.v2.model.rum_metric_event_type import RumMetricEventType
from datadog_api_client.v2.model.rum_metric_filter import RumMetricFilter
from datadog_api_client.v2.model.rum_metric_group_by import RumMetricGroupBy
from datadog_api_client.v2.model.rum_metric_type import RumMetricType
from datadog_api_client.v2.model.rum_metric_uniqueness import RumMetricUniqueness
from datadog_api_client.v2.model.rum_metric_uniqueness_when import RumMetricUniquenessWhen

body = RumMetricCreateRequest(
    data=RumMetricCreateData(
        attributes=RumMetricCreateAttributes(
            compute=RumMetricCompute(
                aggregation_type=RumMetricComputeAggregationType.DISTRIBUTION,
                include_percentiles=True,
                path="@duration",
            ),
            event_type=RumMetricEventType.SESSION,
            filter=RumMetricFilter(
                query="@service:web-ui",
            ),
            group_by=[
                RumMetricGroupBy(
                    path="@browser.name",
                    tag_name="browser_name",
                ),
            ],
            uniqueness=RumMetricUniqueness(
                when=RumMetricUniquenessWhen.WHEN_MATCH,
            ),
        ),
        id="examplerummetric",
        type=RumMetricType.RUM_METRICS,
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = RumMetricsApi(api_client)
    response = api_instance.create_rum_metric(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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" python3 "example.py"
# Create a rum-based metric returns "Created" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::RumMetricsAPI.new

body = DatadogAPIClient::V2::RumMetricCreateRequest.new({
  data: DatadogAPIClient::V2::RumMetricCreateData.new({
    attributes: DatadogAPIClient::V2::RumMetricCreateAttributes.new({
      compute: DatadogAPIClient::V2::RumMetricCompute.new({
        aggregation_type: DatadogAPIClient::V2::RumMetricComputeAggregationType::DISTRIBUTION,
        include_percentiles: true,
        path: "@duration",
      }),
      event_type: DatadogAPIClient::V2::RumMetricEventType::SESSION,
      filter: DatadogAPIClient::V2::RumMetricFilter.new({
        query: "@service:web-ui",
      }),
      group_by: [
        DatadogAPIClient::V2::RumMetricGroupBy.new({
          path: "@browser.name",
          tag_name: "browser_name",
        }),
      ],
      uniqueness: DatadogAPIClient::V2::RumMetricUniqueness.new({
        _when: DatadogAPIClient::V2::RumMetricUniquenessWhen::WHEN_MATCH,
      }),
    }),
    id: "examplerummetric",
    type: DatadogAPIClient::V2::RumMetricType::RUM_METRICS,
  }),
})
p api_instance.create_rum_metric(body)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
// Create a rum-based metric returns "Created" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_rum_metrics::RumMetricsAPI;
use datadog_api_client::datadogV2::model::RumMetricCompute;
use datadog_api_client::datadogV2::model::RumMetricComputeAggregationType;
use datadog_api_client::datadogV2::model::RumMetricCreateAttributes;
use datadog_api_client::datadogV2::model::RumMetricCreateData;
use datadog_api_client::datadogV2::model::RumMetricCreateRequest;
use datadog_api_client::datadogV2::model::RumMetricEventType;
use datadog_api_client::datadogV2::model::RumMetricFilter;
use datadog_api_client::datadogV2::model::RumMetricGroupBy;
use datadog_api_client::datadogV2::model::RumMetricType;
use datadog_api_client::datadogV2::model::RumMetricUniqueness;
use datadog_api_client::datadogV2::model::RumMetricUniquenessWhen;

#[tokio::main]
async fn main() {
    let body = RumMetricCreateRequest::new(RumMetricCreateData::new(
        RumMetricCreateAttributes::new(
            RumMetricCompute::new(RumMetricComputeAggregationType::DISTRIBUTION)
                .include_percentiles(true)
                .path("@duration".to_string()),
            RumMetricEventType::SESSION,
        )
        .filter(RumMetricFilter::new("@service:web-ui".to_string()))
        .group_by(vec![
            RumMetricGroupBy::new("@browser.name".to_string()).tag_name("browser_name".to_string())
        ])
        .uniqueness(RumMetricUniqueness::new(
            RumMetricUniquenessWhen::WHEN_MATCH,
        )),
        "examplerummetric".to_string(),
        RumMetricType::RUM_METRICS,
    ));
    let configuration = datadog::Configuration::new();
    let api = RumMetricsAPI::with_config(configuration);
    let resp = api.create_rum_metric(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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run
/**
 * Create a rum-based metric returns "Created" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.RumMetricsApi(configuration);

const params: v2.RumMetricsApiCreateRumMetricRequest = {
  body: {
    data: {
      attributes: {
        compute: {
          aggregationType: "distribution",
          includePercentiles: true,
          path: "@duration",
        },
        eventType: "session",
        filter: {
          query: "@service:web-ui",
        },
        groupBy: [
          {
            path: "@browser.name",
            tagName: "browser_name",
          },
        ],
        uniqueness: {
          when: "match",
        },
      },
      id: "examplerummetric",
      type: "rum_metrics",
    },
  },
};

apiInstance
  .createRumMetric(params)
  .then((data: v2.RumMetricResponse) => {
    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"