Language

Español English Français 日本語 한국어

Datadog Site

Site help
US1 US3 US5 EU AP1 US1-FED
This page is not yet available in Spanish. We are working on its translation.
If you have any questions or feedback about our current translation project, feel free to reach out to us!

Spans Metrics

Manage configuration of span-based metrics for your organization. See Generate Metrics from Spans for more information.

Get all span-based metrics

GET https://api.ap1.datadoghq.com/api/v2/apm/config/metricshttps://api.datadoghq.eu/api/v2/apm/config/metricshttps://api.ddog-gov.com/api/v2/apm/config/metricshttps://api.datadoghq.com/api/v2/apm/config/metricshttps://api.us3.datadoghq.com/api/v2/apm/config/metricshttps://api.us5.datadoghq.com/api/v2/apm/config/metrics

Información general

Get the list of configured span-based metrics with their definitions. This endpoint requires the apm_read permission.

Respuesta

OK

All the available span-based metric objects.

Expand All

Campo

Tipo

Descripción

data

[object]

A list of span-based metric objects.

attributes

object

The object describing a Datadog span-based metric.

compute

object

The compute rule to compute the span-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 the aggregation_type is distribution.

path

string

The path to the value the span-based metric will aggregate on (only used if the aggregation type is a "distribution").

filter

object

The span-based metric filter. Spans matching this filter will be aggregated in this metric.

query

string

The search query - following the span search syntax.

group_by

[object]

The rules for the group by.

path

string

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

tag_name

string

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

id

string

The name of the span-based metric.

type

enum

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

default: spans_metrics

{
  "data": [
    {
      "attributes": {
        "compute": {
          "aggregation_type": "distribution",
          "include_percentiles": false,
          "path": "@duration"
        },
        "filter": {
          "query": "@http.status_code:200 service:my-service"
        },
        "group_by": [
          {
            "path": "resource_name",
            "tag_name": "resource_name"
          }
        ]
      },
      "id": "my.metric",
      "type": "spans_metrics"
    }
  ]
}

Not Authorized

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Too many requests

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Ejemplo de código

                  # Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/apm/config/metrics" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get all span-based metrics returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.spans_metrics_api import SpansMetricsApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = SpansMetricsApi(api_client)
    response = api_instance.list_spans_metrics()

    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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" python3 "example.py"
# Get all span-based metrics returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::SpansMetricsAPI.new
p api_instance.list_spans_metrics()

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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
// Get all span-based metrics 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())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSpansMetricsApi(apiClient)
	resp, r, err := api.ListSpansMetrics(ctx)

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `SpansMetricsApi.ListSpansMetrics`:\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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" go run "main.go"
// Get all span-based metrics returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SpansMetricsApi;
import com.datadog.api.client.v2.model.SpansMetricsResponse;

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

    try {
      SpansMetricsResponse result = apiInstance.listSpansMetrics();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling SpansMetricsApi#listSpansMetrics");
      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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"
// Get all span-based metrics returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_spans_metrics::SpansMetricsAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = SpansMetricsAPI::with_config(configuration);
    let resp = api.list_spans_metrics().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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run
/**
 * Get all span-based metrics returns "OK" response
 */

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

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

apiInstance
  .listSpansMetrics()
  .then((data: v2.SpansMetricsResponse) => {
    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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"

Create a span-based metric

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

Información general

Create a metric based on your ingested spans in your organization. Returns the span-based metric object from the request body when the request is successful. This endpoint requires the apm_generate_metrics permission.

Solicitud

Body Data (required)

The definition of the new span-based metric.

Expand All

Campo

Tipo

Descripción

data [required]

object

The new span-based metric properties.

attributes [required]

object

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

compute [required]

object

The compute rule to compute the span-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 the aggregation_type is distribution.

path

string

The path to the value the span-based metric will aggregate on (only used if the aggregation type is a "distribution").

filter

object

The span-based metric filter. Spans matching this filter will be aggregated in this metric.

query

string

The search query - following the span search syntax.

default: *

group_by

[object]

The rules for the group by.

path [required]

string

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

tag_name

string

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

id [required]

string

The name of the span-based metric.

type [required]

enum

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

default: spans_metrics

{
  "data": {
    "attributes": {
      "compute": {
        "aggregation_type": "distribution",
        "include_percentiles": false,
        "path": "@duration"
      },
      "filter": {
        "query": "@http.status_code:200 service:my-service"
      },
      "group_by": [
        {
          "path": "resource_name",
          "tag_name": "resource_name"
        }
      ]
    },
    "id": "ExampleSpansMetric",
    "type": "spans_metrics"
  }
}

Respuesta

OK

The span-based metric object.

Expand All

Campo

Tipo

Descripción

data

object

The span-based metric properties.

attributes

object

The object describing a Datadog span-based metric.

compute

object

The compute rule to compute the span-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 the aggregation_type is distribution.

path

string

The path to the value the span-based metric will aggregate on (only used if the aggregation type is a "distribution").

filter

object

The span-based metric filter. Spans matching this filter will be aggregated in this metric.

query

string

The search query - following the span search syntax.

group_by

[object]

The rules for the group by.

path

string

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

tag_name

string

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

id

string

The name of the span-based metric.

type

enum

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

default: spans_metrics

{
  "data": {
    "attributes": {
      "compute": {
        "aggregation_type": "distribution",
        "include_percentiles": false,
        "path": "@duration"
      },
      "filter": {
        "query": "@http.status_code:200 service:my-service"
      },
      "group_by": [
        {
          "path": "resource_name",
          "tag_name": "resource_name"
        }
      ]
    },
    "id": "my.metric",
    "type": "spans_metrics"
  }
}

Bad Request

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Not Authorized

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Conflict

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Too many requests

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Ejemplo de código

                          # Curl command
curl -X POST "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/apm/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": false,
        "path": "@duration"
      },
      "filter": {
        "query": "@http.status_code:200 service:my-service"
      },
      "group_by": [
        {
          "path": "resource_name",
          "tag_name": "resource_name"
        }
      ]
    },
    "id": "ExampleSpansMetric",
    "type": "spans_metrics"
  }
}
EOF

                        
// Create a span-based metric 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() {
	body := datadogV2.SpansMetricCreateRequest{
		Data: datadogV2.SpansMetricCreateData{
			Attributes: datadogV2.SpansMetricCreateAttributes{
				Compute: datadogV2.SpansMetricCompute{
					AggregationType:    datadogV2.SPANSMETRICCOMPUTEAGGREGATIONTYPE_DISTRIBUTION,
					IncludePercentiles: datadog.PtrBool(false),
					Path:               datadog.PtrString("@duration"),
				},
				Filter: &datadogV2.SpansMetricFilter{
					Query: datadog.PtrString("@http.status_code:200 service:my-service"),
				},
				GroupBy: []datadogV2.SpansMetricGroupBy{
					{
						Path:    "resource_name",
						TagName: datadog.PtrString("resource_name"),
					},
				},
			},
			Id:   "ExampleSpansMetric",
			Type: datadogV2.SPANSMETRICTYPE_SPANS_METRICS,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSpansMetricsApi(apiClient)
	resp, r, err := api.CreateSpansMetric(ctx, body)

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `SpansMetricsApi.CreateSpansMetric`:\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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" go run "main.go"
// Create a span-based metric returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SpansMetricsApi;
import com.datadog.api.client.v2.model.SpansMetricCompute;
import com.datadog.api.client.v2.model.SpansMetricComputeAggregationType;
import com.datadog.api.client.v2.model.SpansMetricCreateAttributes;
import com.datadog.api.client.v2.model.SpansMetricCreateData;
import com.datadog.api.client.v2.model.SpansMetricCreateRequest;
import com.datadog.api.client.v2.model.SpansMetricFilter;
import com.datadog.api.client.v2.model.SpansMetricGroupBy;
import com.datadog.api.client.v2.model.SpansMetricResponse;
import com.datadog.api.client.v2.model.SpansMetricType;
import java.util.Collections;

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

    SpansMetricCreateRequest body =
        new SpansMetricCreateRequest()
            .data(
                new SpansMetricCreateData()
                    .attributes(
                        new SpansMetricCreateAttributes()
                            .compute(
                                new SpansMetricCompute()
                                    .aggregationType(SpansMetricComputeAggregationType.DISTRIBUTION)
                                    .includePercentiles(false)
                                    .path("@duration"))
                            .filter(
                                new SpansMetricFilter()
                                    .query("@http.status_code:200 service:my-service"))
                            .groupBy(
                                Collections.singletonList(
                                    new SpansMetricGroupBy()
                                        .path("resource_name")
                                        .tagName("resource_name"))))
                    .id("ExampleSpansMetric")
                    .type(SpansMetricType.SPANS_METRICS));

    try {
      SpansMetricResponse result = apiInstance.createSpansMetric(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling SpansMetricsApi#createSpansMetric");
      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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"
"""
Create a span-based metric returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.spans_metrics_api import SpansMetricsApi
from datadog_api_client.v2.model.spans_metric_compute import SpansMetricCompute
from datadog_api_client.v2.model.spans_metric_compute_aggregation_type import SpansMetricComputeAggregationType
from datadog_api_client.v2.model.spans_metric_create_attributes import SpansMetricCreateAttributes
from datadog_api_client.v2.model.spans_metric_create_data import SpansMetricCreateData
from datadog_api_client.v2.model.spans_metric_create_request import SpansMetricCreateRequest
from datadog_api_client.v2.model.spans_metric_filter import SpansMetricFilter
from datadog_api_client.v2.model.spans_metric_group_by import SpansMetricGroupBy
from datadog_api_client.v2.model.spans_metric_type import SpansMetricType

body = SpansMetricCreateRequest(
    data=SpansMetricCreateData(
        attributes=SpansMetricCreateAttributes(
            compute=SpansMetricCompute(
                aggregation_type=SpansMetricComputeAggregationType.DISTRIBUTION,
                include_percentiles=False,
                path="@duration",
            ),
            filter=SpansMetricFilter(
                query="@http.status_code:200 service:my-service",
            ),
            group_by=[
                SpansMetricGroupBy(
                    path="resource_name",
                    tag_name="resource_name",
                ),
            ],
        ),
        id="ExampleSpansMetric",
        type=SpansMetricType.SPANS_METRICS,
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = SpansMetricsApi(api_client)
    response = api_instance.create_spans_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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" python3 "example.py"
# Create a span-based metric returns "OK" response

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

body = DatadogAPIClient::V2::SpansMetricCreateRequest.new({
  data: DatadogAPIClient::V2::SpansMetricCreateData.new({
    attributes: DatadogAPIClient::V2::SpansMetricCreateAttributes.new({
      compute: DatadogAPIClient::V2::SpansMetricCompute.new({
        aggregation_type: DatadogAPIClient::V2::SpansMetricComputeAggregationType::DISTRIBUTION,
        include_percentiles: false,
        path: "@duration",
      }),
      filter: DatadogAPIClient::V2::SpansMetricFilter.new({
        query: "@http.status_code:200 service:my-service",
      }),
      group_by: [
        DatadogAPIClient::V2::SpansMetricGroupBy.new({
          path: "resource_name",
          tag_name: "resource_name",
        }),
      ],
    }),
    id: "ExampleSpansMetric",
    type: DatadogAPIClient::V2::SpansMetricType::SPANS_METRICS,
  }),
})
p api_instance.create_spans_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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
// Create a span-based metric returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_spans_metrics::SpansMetricsAPI;
use datadog_api_client::datadogV2::model::SpansMetricCompute;
use datadog_api_client::datadogV2::model::SpansMetricComputeAggregationType;
use datadog_api_client::datadogV2::model::SpansMetricCreateAttributes;
use datadog_api_client::datadogV2::model::SpansMetricCreateData;
use datadog_api_client::datadogV2::model::SpansMetricCreateRequest;
use datadog_api_client::datadogV2::model::SpansMetricFilter;
use datadog_api_client::datadogV2::model::SpansMetricGroupBy;
use datadog_api_client::datadogV2::model::SpansMetricType;

#[tokio::main]
async fn main() {
    let body = SpansMetricCreateRequest::new(SpansMetricCreateData::new(
        SpansMetricCreateAttributes::new(
            SpansMetricCompute::new(SpansMetricComputeAggregationType::DISTRIBUTION)
                .include_percentiles(false)
                .path("@duration".to_string()),
        )
        .filter(
            SpansMetricFilter::new().query("@http.status_code:200 service:my-service".to_string()),
        )
        .group_by(vec![SpansMetricGroupBy::new("resource_name".to_string())
            .tag_name("resource_name".to_string())]),
        "ExampleSpansMetric".to_string(),
        SpansMetricType::SPANS_METRICS,
    ));
    let configuration = datadog::Configuration::new();
    let api = SpansMetricsAPI::with_config(configuration);
    let resp = api.create_spans_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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run
/**
 * Create a span-based metric returns "OK" response
 */

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

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

const params: v2.SpansMetricsApiCreateSpansMetricRequest = {
  body: {
    data: {
      attributes: {
        compute: {
          aggregationType: "distribution",
          includePercentiles: false,
          path: "@duration",
        },
        filter: {
          query: "@http.status_code:200 service:my-service",
        },
        groupBy: [
          {
            path: "resource_name",
            tagName: "resource_name",
          },
        ],
      },
      id: "ExampleSpansMetric",
      type: "spans_metrics",
    },
  },
};

apiInstance
  .createSpansMetric(params)
  .then((data: v2.SpansMetricResponse) => {
    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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"

Get a span-based metric

GET https://api.ap1.datadoghq.com/api/v2/apm/config/metrics/{metric_id}https://api.datadoghq.eu/api/v2/apm/config/metrics/{metric_id}https://api.ddog-gov.com/api/v2/apm/config/metrics/{metric_id}https://api.datadoghq.com/api/v2/apm/config/metrics/{metric_id}https://api.us3.datadoghq.com/api/v2/apm/config/metrics/{metric_id}https://api.us5.datadoghq.com/api/v2/apm/config/metrics/{metric_id}

Información general

Get a specific span-based metric from your organization. This endpoint requires the apm_read permission.

Argumentos

Parámetros de ruta

Nombre

Tipo

Descripción

metric_id [required]

string

The name of the span-based metric.

Respuesta

OK

The span-based metric object.

Expand All

Campo

Tipo

Descripción

data

object

The span-based metric properties.

attributes

object

The object describing a Datadog span-based metric.

compute

object

The compute rule to compute the span-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 the aggregation_type is distribution.

path

string

The path to the value the span-based metric will aggregate on (only used if the aggregation type is a "distribution").

filter

object

The span-based metric filter. Spans matching this filter will be aggregated in this metric.

query

string

The search query - following the span search syntax.

group_by

[object]

The rules for the group by.

path

string

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

tag_name

string

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

id

string

The name of the span-based metric.

type

enum

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

default: spans_metrics

{
  "data": {
    "attributes": {
      "compute": {
        "aggregation_type": "distribution",
        "include_percentiles": false,
        "path": "@duration"
      },
      "filter": {
        "query": "@http.status_code:200 service:my-service"
      },
      "group_by": [
        {
          "path": "resource_name",
          "tag_name": "resource_name"
        }
      ]
    },
    "id": "my.metric",
    "type": "spans_metrics"
  }
}

Not Authorized

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Not Found

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Too many requests

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Ejemplo de código

                  # Path parameters
export metric_id="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/apm/config/metrics/${metric_id}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get a span-based metric returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.spans_metrics_api import SpansMetricsApi

# there is a valid "spans_metric" in the system
SPANS_METRIC_DATA_ID = environ["SPANS_METRIC_DATA_ID"]

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = SpansMetricsApi(api_client)
    response = api_instance.get_spans_metric(
        metric_id=SPANS_METRIC_DATA_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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" python3 "example.py"
# Get a span-based metric returns "OK" response

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

# there is a valid "spans_metric" in the system
SPANS_METRIC_DATA_ID = ENV["SPANS_METRIC_DATA_ID"]
p api_instance.get_spans_metric(SPANS_METRIC_DATA_ID)

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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
// Get a span-based metric 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() {
	// there is a valid "spans_metric" in the system
	SpansMetricDataID := os.Getenv("SPANS_METRIC_DATA_ID")

	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSpansMetricsApi(apiClient)
	resp, r, err := api.GetSpansMetric(ctx, SpansMetricDataID)

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `SpansMetricsApi.GetSpansMetric`:\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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" go run "main.go"
// Get a span-based metric returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SpansMetricsApi;
import com.datadog.api.client.v2.model.SpansMetricResponse;

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

    // there is a valid "spans_metric" in the system
    String SPANS_METRIC_DATA_ID = System.getenv("SPANS_METRIC_DATA_ID");

    try {
      SpansMetricResponse result = apiInstance.getSpansMetric(SPANS_METRIC_DATA_ID);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling SpansMetricsApi#getSpansMetric");
      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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"
// Get a span-based metric returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_spans_metrics::SpansMetricsAPI;

#[tokio::main]
async fn main() {
    // there is a valid "spans_metric" in the system
    let spans_metric_data_id = std::env::var("SPANS_METRIC_DATA_ID").unwrap();
    let configuration = datadog::Configuration::new();
    let api = SpansMetricsAPI::with_config(configuration);
    let resp = api.get_spans_metric(spans_metric_data_id.clone()).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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run
/**
 * Get a span-based metric returns "OK" response
 */

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

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

// there is a valid "spans_metric" in the system
const SPANS_METRIC_DATA_ID = process.env.SPANS_METRIC_DATA_ID as string;

const params: v2.SpansMetricsApiGetSpansMetricRequest = {
  metricId: SPANS_METRIC_DATA_ID,
};

apiInstance
  .getSpansMetric(params)
  .then((data: v2.SpansMetricResponse) => {
    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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"

Update a span-based metric

PATCH https://api.ap1.datadoghq.com/api/v2/apm/config/metrics/{metric_id}https://api.datadoghq.eu/api/v2/apm/config/metrics/{metric_id}https://api.ddog-gov.com/api/v2/apm/config/metrics/{metric_id}https://api.datadoghq.com/api/v2/apm/config/metrics/{metric_id}https://api.us3.datadoghq.com/api/v2/apm/config/metrics/{metric_id}https://api.us5.datadoghq.com/api/v2/apm/config/metrics/{metric_id}

Información general

Update a specific span-based metric from your organization. Returns the span-based metric object from the request body when the request is successful. This endpoint requires the apm_generate_metrics permission.

Argumentos

Parámetros de ruta

Nombre

Tipo

Descripción

metric_id [required]

string

The name of the span-based metric.

Solicitud

Body Data (required)

New definition of the span-based metric.

Expand All

Campo

Tipo

Descripción

data [required]

object

The new span-based metric properties.

attributes [required]

object

The span-based metric properties that will be updated.

compute

object

The compute rule to compute the span-based metric.

include_percentiles

boolean

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

filter

object

The span-based metric filter. Spans matching this filter will be aggregated in this metric.

query

string

The search query - following the span search syntax.

default: *

group_by

[object]

The rules for the group by.

path [required]

string

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

tag_name

string

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

type [required]

enum

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

default: spans_metrics

{
  "data": {
    "attributes": {
      "compute": {
        "include_percentiles": false
      },
      "filter": {
        "query": "@http.status_code:200 service:my-service-updated"
      },
      "group_by": [
        {
          "path": "resource_name",
          "tag_name": "resource_name"
        }
      ]
    },
    "type": "spans_metrics"
  }
}

Respuesta

OK

The span-based metric object.

Expand All

Campo

Tipo

Descripción

data

object

The span-based metric properties.

attributes

object

The object describing a Datadog span-based metric.

compute

object

The compute rule to compute the span-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 the aggregation_type is distribution.

path

string

The path to the value the span-based metric will aggregate on (only used if the aggregation type is a "distribution").

filter

object

The span-based metric filter. Spans matching this filter will be aggregated in this metric.

query

string

The search query - following the span search syntax.

group_by

[object]

The rules for the group by.

path

string

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

tag_name

string

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

id

string

The name of the span-based metric.

type

enum

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

default: spans_metrics

{
  "data": {
    "attributes": {
      "compute": {
        "aggregation_type": "distribution",
        "include_percentiles": false,
        "path": "@duration"
      },
      "filter": {
        "query": "@http.status_code:200 service:my-service"
      },
      "group_by": [
        {
          "path": "resource_name",
          "tag_name": "resource_name"
        }
      ]
    },
    "id": "my.metric",
    "type": "spans_metrics"
  }
}

Bad Request

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Not Authorized

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Not Found

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Too many requests

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Ejemplo de código

                          # Path parameters
export metric_id="CHANGE_ME"
# Curl command
curl -X PATCH "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/apm/config/metrics/${metric_id}" \
-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": {
        "include_percentiles": false
      },
      "filter": {
        "query": "@http.status_code:200 service:my-service-updated"
      },
      "group_by": [
        {
          "path": "resource_name",
          "tag_name": "resource_name"
        }
      ]
    },
    "type": "spans_metrics"
  }
}
EOF

                        
// Update a span-based metric 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() {
	// there is a valid "spans_metric" in the system
	SpansMetricDataID := os.Getenv("SPANS_METRIC_DATA_ID")

	body := datadogV2.SpansMetricUpdateRequest{
		Data: datadogV2.SpansMetricUpdateData{
			Attributes: datadogV2.SpansMetricUpdateAttributes{
				Compute: &datadogV2.SpansMetricUpdateCompute{
					IncludePercentiles: datadog.PtrBool(false),
				},
				Filter: &datadogV2.SpansMetricFilter{
					Query: datadog.PtrString("@http.status_code:200 service:my-service-updated"),
				},
				GroupBy: []datadogV2.SpansMetricGroupBy{
					{
						Path:    "resource_name",
						TagName: datadog.PtrString("resource_name"),
					},
				},
			},
			Type: datadogV2.SPANSMETRICTYPE_SPANS_METRICS,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSpansMetricsApi(apiClient)
	resp, r, err := api.UpdateSpansMetric(ctx, SpansMetricDataID, body)

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `SpansMetricsApi.UpdateSpansMetric`:\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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" go run "main.go"
// Update a span-based metric returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SpansMetricsApi;
import com.datadog.api.client.v2.model.SpansMetricFilter;
import com.datadog.api.client.v2.model.SpansMetricGroupBy;
import com.datadog.api.client.v2.model.SpansMetricResponse;
import com.datadog.api.client.v2.model.SpansMetricType;
import com.datadog.api.client.v2.model.SpansMetricUpdateAttributes;
import com.datadog.api.client.v2.model.SpansMetricUpdateCompute;
import com.datadog.api.client.v2.model.SpansMetricUpdateData;
import com.datadog.api.client.v2.model.SpansMetricUpdateRequest;
import java.util.Collections;

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

    // there is a valid "spans_metric" in the system
    String SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY =
        System.getenv("SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY");
    String SPANS_METRIC_DATA_ID = System.getenv("SPANS_METRIC_DATA_ID");

    SpansMetricUpdateRequest body =
        new SpansMetricUpdateRequest()
            .data(
                new SpansMetricUpdateData()
                    .attributes(
                        new SpansMetricUpdateAttributes()
                            .compute(new SpansMetricUpdateCompute().includePercentiles(false))
                            .filter(
                                new SpansMetricFilter()
                                    .query("@http.status_code:200 service:my-service-updated"))
                            .groupBy(
                                Collections.singletonList(
                                    new SpansMetricGroupBy()
                                        .path("resource_name")
                                        .tagName("resource_name"))))
                    .type(SpansMetricType.SPANS_METRICS));

    try {
      SpansMetricResponse result = apiInstance.updateSpansMetric(SPANS_METRIC_DATA_ID, body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling SpansMetricsApi#updateSpansMetric");
      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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"
"""
Update a span-based metric returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.spans_metrics_api import SpansMetricsApi
from datadog_api_client.v2.model.spans_metric_filter import SpansMetricFilter
from datadog_api_client.v2.model.spans_metric_group_by import SpansMetricGroupBy
from datadog_api_client.v2.model.spans_metric_type import SpansMetricType
from datadog_api_client.v2.model.spans_metric_update_attributes import SpansMetricUpdateAttributes
from datadog_api_client.v2.model.spans_metric_update_compute import SpansMetricUpdateCompute
from datadog_api_client.v2.model.spans_metric_update_data import SpansMetricUpdateData
from datadog_api_client.v2.model.spans_metric_update_request import SpansMetricUpdateRequest

# there is a valid "spans_metric" in the system
SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY = environ["SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY"]
SPANS_METRIC_DATA_ID = environ["SPANS_METRIC_DATA_ID"]

body = SpansMetricUpdateRequest(
    data=SpansMetricUpdateData(
        attributes=SpansMetricUpdateAttributes(
            compute=SpansMetricUpdateCompute(
                include_percentiles=False,
            ),
            filter=SpansMetricFilter(
                query="@http.status_code:200 service:my-service-updated",
            ),
            group_by=[
                SpansMetricGroupBy(
                    path="resource_name",
                    tag_name="resource_name",
                ),
            ],
        ),
        type=SpansMetricType.SPANS_METRICS,
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = SpansMetricsApi(api_client)
    response = api_instance.update_spans_metric(metric_id=SPANS_METRIC_DATA_ID, 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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" python3 "example.py"
# Update a span-based metric returns "OK" response

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

# there is a valid "spans_metric" in the system
SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY = ENV["SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY"]
SPANS_METRIC_DATA_ID = ENV["SPANS_METRIC_DATA_ID"]

body = DatadogAPIClient::V2::SpansMetricUpdateRequest.new({
  data: DatadogAPIClient::V2::SpansMetricUpdateData.new({
    attributes: DatadogAPIClient::V2::SpansMetricUpdateAttributes.new({
      compute: DatadogAPIClient::V2::SpansMetricUpdateCompute.new({
        include_percentiles: false,
      }),
      filter: DatadogAPIClient::V2::SpansMetricFilter.new({
        query: "@http.status_code:200 service:my-service-updated",
      }),
      group_by: [
        DatadogAPIClient::V2::SpansMetricGroupBy.new({
          path: "resource_name",
          tag_name: "resource_name",
        }),
      ],
    }),
    type: DatadogAPIClient::V2::SpansMetricType::SPANS_METRICS,
  }),
})
p api_instance.update_spans_metric(SPANS_METRIC_DATA_ID, 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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
// Update a span-based metric returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_spans_metrics::SpansMetricsAPI;
use datadog_api_client::datadogV2::model::SpansMetricFilter;
use datadog_api_client::datadogV2::model::SpansMetricGroupBy;
use datadog_api_client::datadogV2::model::SpansMetricType;
use datadog_api_client::datadogV2::model::SpansMetricUpdateAttributes;
use datadog_api_client::datadogV2::model::SpansMetricUpdateCompute;
use datadog_api_client::datadogV2::model::SpansMetricUpdateData;
use datadog_api_client::datadogV2::model::SpansMetricUpdateRequest;

#[tokio::main]
async fn main() {
    // there is a valid "spans_metric" in the system
    let spans_metric_data_id = std::env::var("SPANS_METRIC_DATA_ID").unwrap();
    let body = SpansMetricUpdateRequest::new(SpansMetricUpdateData::new(
        SpansMetricUpdateAttributes::new()
            .compute(SpansMetricUpdateCompute::new().include_percentiles(false))
            .filter(
                SpansMetricFilter::new()
                    .query("@http.status_code:200 service:my-service-updated".to_string()),
            )
            .group_by(vec![SpansMetricGroupBy::new("resource_name".to_string())
                .tag_name("resource_name".to_string())]),
        SpansMetricType::SPANS_METRICS,
    ));
    let configuration = datadog::Configuration::new();
    let api = SpansMetricsAPI::with_config(configuration);
    let resp = api
        .update_spans_metric(spans_metric_data_id.clone(), 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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run
/**
 * Update a span-based metric returns "OK" response
 */

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

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

// there is a valid "spans_metric" in the system
const SPANS_METRIC_DATA_ID = process.env.SPANS_METRIC_DATA_ID as string;

const params: v2.SpansMetricsApiUpdateSpansMetricRequest = {
  body: {
    data: {
      attributes: {
        compute: {
          includePercentiles: false,
        },
        filter: {
          query: "@http.status_code:200 service:my-service-updated",
        },
        groupBy: [
          {
            path: "resource_name",
            tagName: "resource_name",
          },
        ],
      },
      type: "spans_metrics",
    },
  },
  metricId: SPANS_METRIC_DATA_ID,
};

apiInstance
  .updateSpansMetric(params)
  .then((data: v2.SpansMetricResponse) => {
    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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"

Delete a span-based metric

DELETE https://api.ap1.datadoghq.com/api/v2/apm/config/metrics/{metric_id}https://api.datadoghq.eu/api/v2/apm/config/metrics/{metric_id}https://api.ddog-gov.com/api/v2/apm/config/metrics/{metric_id}https://api.datadoghq.com/api/v2/apm/config/metrics/{metric_id}https://api.us3.datadoghq.com/api/v2/apm/config/metrics/{metric_id}https://api.us5.datadoghq.com/api/v2/apm/config/metrics/{metric_id}

Información general

Delete a specific span-based metric from your organization. This endpoint requires the apm_generate_metrics permission.

Argumentos

Parámetros de ruta

Nombre

Tipo

Descripción

metric_id [required]

string

The name of the span-based metric.

Respuesta

OK

Not Authorized

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Not Found

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Too many requests

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Ejemplo de código

                  # Path parameters
export metric_id="CHANGE_ME"
# Curl command
curl -X DELETE "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/apm/config/metrics/${metric_id}" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Delete a span-based metric returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.spans_metrics_api import SpansMetricsApi

# there is a valid "spans_metric" in the system
SPANS_METRIC_DATA_ID = environ["SPANS_METRIC_DATA_ID"]

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = SpansMetricsApi(api_client)
    api_instance.delete_spans_metric(
        metric_id=SPANS_METRIC_DATA_ID,
    )

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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" python3 "example.py"
# Delete a span-based metric returns "OK" response

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

# there is a valid "spans_metric" in the system
SPANS_METRIC_DATA_ID = ENV["SPANS_METRIC_DATA_ID"]
api_instance.delete_spans_metric(SPANS_METRIC_DATA_ID)

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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
// Delete a span-based metric returns "OK" 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 "spans_metric" in the system
	SpansMetricDataID := os.Getenv("SPANS_METRIC_DATA_ID")

	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSpansMetricsApi(apiClient)
	r, err := api.DeleteSpansMetric(ctx, SpansMetricDataID)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `SpansMetricsApi.DeleteSpansMetric`: %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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" go run "main.go"
// Delete a span-based metric returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SpansMetricsApi;

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

    // there is a valid "spans_metric" in the system
    String SPANS_METRIC_DATA_ID = System.getenv("SPANS_METRIC_DATA_ID");

    try {
      apiInstance.deleteSpansMetric(SPANS_METRIC_DATA_ID);
    } catch (ApiException e) {
      System.err.println("Exception when calling SpansMetricsApi#deleteSpansMetric");
      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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"
// Delete a span-based metric returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_spans_metrics::SpansMetricsAPI;

#[tokio::main]
async fn main() {
    // there is a valid "spans_metric" in the system
    let spans_metric_data_id = std::env::var("SPANS_METRIC_DATA_ID").unwrap();
    let configuration = datadog::Configuration::new();
    let api = SpansMetricsAPI::with_config(configuration);
    let resp = api.delete_spans_metric(spans_metric_data_id.clone()).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.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run
/**
 * Delete a span-based metric returns "OK" response
 */

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

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

// there is a valid "spans_metric" in the system
const SPANS_METRIC_DATA_ID = process.env.SPANS_METRIC_DATA_ID as string;

const params: v2.SpansMetricsApiDeleteSpansMetricRequest = {
  metricId: SPANS_METRIC_DATA_ID,
};

apiInstance
  .deleteSpansMetric(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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"
PREVIEWING: rtrieu/product-analytics-ui-changes