Métricas

El endpoint de métricas te permite:

  • Publicar datos de métricas para que se puedan representar gráficamente en dashboards de Datadog
  • Consultar métricas de cualquier periodo de tiempo
  • Modificar las configuraciones de etiquetas de métricas
  • Ver etiquetas y volúmenes de métricas

Nota: Un gráfico sólo puede contener un número determinado de puntos y a medida que aumenta el marco temporal en el que se visualiza una métrica, la agregación entre puntos se mantiene por debajo de ese número establecido.

Los métodos Post, Patch y Delete de la API manage_tags sólo pueden ser ejecutados por un usuario que tenga el permiso Gestionar etiquetas de métricas.

Para obtener más información, consulta la página Métricas.

POST https://api.ap1.datadoghq.com/api/v2/metrics/{metric_name}/tagshttps://api.datadoghq.eu/api/v2/metrics/{metric_name}/tagshttps://api.ddog-gov.com/api/v2/metrics/{metric_name}/tagshttps://api.datadoghq.com/api/v2/metrics/{metric_name}/tagshttps://api.us3.datadoghq.com/api/v2/metrics/{metric_name}/tagshttps://api.us5.datadoghq.com/api/v2/metrics/{metric_name}/tags

Información general

Create and define a list of queryable tag keys for an existing count/gauge/rate/distribution metric. Optionally, include percentile aggregations on any distribution metric or configure custom aggregations on any count, rate, or gauge metric. By setting exclude_tags_mode to true the behavior is changed from an allow-list to a deny-list, and tags in the defined list will not be queryable. Can only be used with application keys of users with the Manage Tags for Metrics permission. This endpoint requires the metric_tags_write permission.

Argumentos

Parámetros de ruta

Nombre

Tipo

Descripción

metric_name [required]

string

The name of the metric.

Solicitud

Body Data (required)

Expand All

Campo

Tipo

Descripción

data [required]

object

Object for a single metric to be configure tags on.

attributes

object

Object containing the definition of a metric tag configuration to be created.

aggregations

[object]

A list of queryable aggregation combinations for a count, rate, or gauge metric. By default, count and rate metrics require the (time: sum, space: sum) aggregation and Gauge metrics require the (time: avg, space: avg) aggregation. Additional time & space combinations are also available:

  • time: avg, space: avg
  • time: avg, space: max
  • time: avg, space: min
  • time: avg, space: sum
  • time: count, space: sum
  • time: max, space: max
  • time: min, space: min
  • time: sum, space: avg
  • time: sum, space: sum

Can only be applied to non_distribution metrics that have a metric_type of count, rate, or gauge.

space [required]

enum

A space aggregation for use in query. Allowed enum values: avg,max,min,sum

time [required]

enum

A time aggregation for use in query. Allowed enum values: avg,count,max,min,sum

exclude_tags_mode

boolean

When set to true, the configuration will exclude the configured tags and include any other submitted tags. When set to false, the configuration will include the configured tags and exclude any other submitted tags. Defaults to false. Requires tags property.

include_percentiles

boolean

Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have a metric_type of distribution.

metric_type [required]

enum

The metric's type. Allowed enum values: gauge,count,rate,distribution

default: gauge

tags [required]

[string]

A list of tag keys that will be queryable for your metric.

default:

id [required]

string

The metric name for this resource.

type [required]

enum

The metric tag configuration resource type. Allowed enum values: manage_tags

default: manage_tags

{
  "data": {
    "type": "manage_tags",
    "id": "ExampleMetric",
    "attributes": {
      "tags": [
        "app",
        "datacenter"
      ],
      "metric_type": "gauge"
    }
  }
}

Respuesta

Created

Response object which includes a single metric’s tag configuration.

Expand All

Campo

Tipo

Descripción

data

object

Object for a single metric tag configuration.

attributes

object

Object containing the definition of a metric tag configuration attributes.

aggregations

[object]

A list of queryable aggregation combinations for a count, rate, or gauge metric. By default, count and rate metrics require the (time: sum, space: sum) aggregation and Gauge metrics require the (time: avg, space: avg) aggregation. Additional time & space combinations are also available:

  • time: avg, space: avg
  • time: avg, space: max
  • time: avg, space: min
  • time: avg, space: sum
  • time: count, space: sum
  • time: max, space: max
  • time: min, space: min
  • time: sum, space: avg
  • time: sum, space: sum

Can only be applied to non_distribution metrics that have a metric_type of count, rate, or gauge.

space [required]

enum

A space aggregation for use in query. Allowed enum values: avg,max,min,sum

time [required]

enum

A time aggregation for use in query. Allowed enum values: avg,count,max,min,sum

created_at

date-time

Timestamp when the tag configuration was created.

exclude_tags_mode

boolean

When set to true, the configuration will exclude the configured tags and include any other submitted tags. When set to false, the configuration will include the configured tags and exclude any other submitted tags. Defaults to false. Requires tags property.

include_percentiles

boolean

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

metric_type

enum

The metric's type. Allowed enum values: gauge,count,rate,distribution

default: gauge

modified_at

date-time

Timestamp when the tag configuration was last modified.

tags

[string]

List of tag keys on which to group.

id

string

The metric name for this resource.

type

enum

The metric tag configuration resource type. Allowed enum values: manage_tags

default: manage_tags

{
  "data": {
    "attributes": {
      "aggregations": [
        {
          "space": "sum",
          "time": "sum"
        }
      ],
      "created_at": "2020-03-25T09:48:37.463835Z",
      "exclude_tags_mode": false,
      "include_percentiles": true,
      "metric_type": "count",
      "modified_at": "2020-03-25T09:48:37.463835Z",
      "tags": [
        "app",
        "datacenter"
      ]
    },
    "id": "test.metric.latency",
    "type": "manage_tags"
  }
}

Bad Request

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Forbidden

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

                          # Path parameters
export metric_name="dist.http.endpoint.request"
# 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/metrics/${metric_name}/tags" \ -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": { "type": "manage_tags", "id": "ExampleMetric", "attributes": { "tags": [ "app", "datacenter" ], "metric_type": "gauge" } } } EOF
// Create a tag configuration 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.MetricTagConfigurationCreateRequest{
		Data: datadogV2.MetricTagConfigurationCreateData{
			Type: datadogV2.METRICTAGCONFIGURATIONTYPE_MANAGE_TAGS,
			Id:   "ExampleMetric",
			Attributes: &datadogV2.MetricTagConfigurationCreateAttributes{
				Tags: []string{
					"app",
					"datacenter",
				},
				MetricType: datadogV2.METRICTAGCONFIGURATIONMETRICTYPES_GAUGE,
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewMetricsApi(apiClient)
	resp, r, err := api.CreateTagConfiguration(ctx, "ExampleMetric", body)

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `MetricsApi.CreateTagConfiguration`:\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 tag configuration returns "Created" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.MetricsApi;
import com.datadog.api.client.v2.model.MetricTagConfigurationCreateAttributes;
import com.datadog.api.client.v2.model.MetricTagConfigurationCreateData;
import com.datadog.api.client.v2.model.MetricTagConfigurationCreateRequest;
import com.datadog.api.client.v2.model.MetricTagConfigurationMetricTypes;
import com.datadog.api.client.v2.model.MetricTagConfigurationResponse;
import com.datadog.api.client.v2.model.MetricTagConfigurationType;
import java.util.Arrays;

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

    MetricTagConfigurationCreateRequest body =
        new MetricTagConfigurationCreateRequest()
            .data(
                new MetricTagConfigurationCreateData()
                    .type(MetricTagConfigurationType.MANAGE_TAGS)
                    .id("ExampleMetric")
                    .attributes(
                        new MetricTagConfigurationCreateAttributes()
                            .tags(Arrays.asList("app", "datacenter"))
                            .metricType(MetricTagConfigurationMetricTypes.GAUGE)));

    try {
      MetricTagConfigurationResponse result =
          apiInstance.createTagConfiguration("ExampleMetric", body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#createTagConfiguration");
      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 tag configuration returns "Created" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.metrics_api import MetricsApi
from datadog_api_client.v2.model.metric_tag_configuration_create_attributes import (
    MetricTagConfigurationCreateAttributes,
)
from datadog_api_client.v2.model.metric_tag_configuration_create_data import MetricTagConfigurationCreateData
from datadog_api_client.v2.model.metric_tag_configuration_create_request import MetricTagConfigurationCreateRequest
from datadog_api_client.v2.model.metric_tag_configuration_metric_types import MetricTagConfigurationMetricTypes
from datadog_api_client.v2.model.metric_tag_configuration_type import MetricTagConfigurationType

body = MetricTagConfigurationCreateRequest(
    data=MetricTagConfigurationCreateData(
        type=MetricTagConfigurationType.MANAGE_TAGS,
        id="ExampleMetric",
        attributes=MetricTagConfigurationCreateAttributes(
            tags=[
                "app",
                "datacenter",
            ],
            metric_type=MetricTagConfigurationMetricTypes.GAUGE,
        ),
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.create_tag_configuration(metric_name="ExampleMetric", 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 tag configuration returns "Created" response

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

body = DatadogAPIClient::V2::MetricTagConfigurationCreateRequest.new({
  data: DatadogAPIClient::V2::MetricTagConfigurationCreateData.new({
    type: DatadogAPIClient::V2::MetricTagConfigurationType::MANAGE_TAGS,
    id: "ExampleMetric",
    attributes: DatadogAPIClient::V2::MetricTagConfigurationCreateAttributes.new({
      tags: [
        "app",
        "datacenter",
      ],
      metric_type: DatadogAPIClient::V2::MetricTagConfigurationMetricTypes::GAUGE,
    }),
  }),
})
p api_instance.create_tag_configuration("ExampleMetric", 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 tag configuration returns "Created" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_metrics::MetricsAPI;
use datadog_api_client::datadogV2::model::MetricTagConfigurationCreateAttributes;
use datadog_api_client::datadogV2::model::MetricTagConfigurationCreateData;
use datadog_api_client::datadogV2::model::MetricTagConfigurationCreateRequest;
use datadog_api_client::datadogV2::model::MetricTagConfigurationMetricTypes;
use datadog_api_client::datadogV2::model::MetricTagConfigurationType;

#[tokio::main]
async fn main() {
    let body = MetricTagConfigurationCreateRequest::new(
        MetricTagConfigurationCreateData::new(
            "ExampleMetric".to_string(),
            MetricTagConfigurationType::MANAGE_TAGS,
        )
        .attributes(MetricTagConfigurationCreateAttributes::new(
            MetricTagConfigurationMetricTypes::GAUGE,
            vec!["app".to_string(), "datacenter".to_string()],
        )),
    );
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api
        .create_tag_configuration("ExampleMetric".to_string(), 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 tag configuration returns "Created" response
 */

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

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

const params: v2.MetricsApiCreateTagConfigurationRequest = {
  body: {
    data: {
      type: "manage_tags",
      id: "ExampleMetric",
      attributes: {
        tags: ["app", "datacenter"],
        metricType: "gauge",
      },
    },
  },
  metricName: "ExampleMetric",
};

apiInstance
  .createTagConfiguration(params)
  .then((data: v2.MetricTagConfigurationResponse) => {
    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 https://api.ap1.datadoghq.com/api/v1/metricshttps://api.datadoghq.eu/api/v1/metricshttps://api.ddog-gov.com/api/v1/metricshttps://api.datadoghq.com/api/v1/metricshttps://api.us3.datadoghq.com/api/v1/metricshttps://api.us5.datadoghq.com/api/v1/metrics

Información general

Obtén la lista de las métricas de informes activas desde un momento dado hasta ahora. This endpoint requires the metrics_read permission.

OAuth apps require the metrics_read authorization scope to access this endpoint.

Argumentos

Cadenas de consulta

Nombre

Tipo

Descripción

from [required]

integer

Seconds since the Unix epoch.

host

string

Hostname for filtering the list of metrics returned. If set, metrics retrieved are those with the corresponding hostname tag.

tag_filter

string

Filter metrics that have been submitted with the given tags. Supports boolean and wildcard expressions. Cannot be combined with other filters.

Respuesta

OK

Object listing all metric names stored by Datadog since a given time.

Expand All

Campo

Tipo

Descripción

from

string

Time when the metrics were active, seconds since the Unix epoch.

metrics

[string]

List of metric names.

{
  "from": "string",
  "metrics": []
}

Bad Request

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Forbidden

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Too many requests

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Ejemplo de código

                  # Required query arguments
export from="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/v1/metrics?from=${from}" \ -H "Accept: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}"
"""
Get active metrics list returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.metrics_api import MetricsApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.list_active_metrics(
        _from=9223372036854775807,
    )

    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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get active metrics list returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::MetricsAPI.new
p api_instance.list_active_metrics(9223372036854775807)

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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get active metrics list 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/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewMetricsApi(apiClient)
	resp, r, err := api.ListActiveMetrics(ctx, 9223372036854775807, *datadogV1.NewListActiveMetricsOptionalParameters())

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `MetricsApi.ListActiveMetrics`:\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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get active metrics list returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.MetricsApi;
import com.datadog.api.client.v1.model.MetricsListResponse;

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

    try {
      MetricsListResponse result = apiInstance.listActiveMetrics(9223372036854775807L);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#listActiveMetrics");
      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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
from datadog import initialize, api
import time

options = {
    'api_key': '<DATADOG_API_KEY>',
    'app_key': '<DATADOG_APPLICATION_KEY>'
}

initialize(**options)

# Taking the last 24hours
from_time = int(time.time()) - 60 * 60 * 24 * 1

result = api.Metric.list(from_time)

print(result)

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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"
// Get active metrics list returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_metrics::ListActiveMetricsOptionalParams;
use datadog_api_client::datadogV1::api_metrics::MetricsAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api
        .list_active_metrics(
            9223372036854775807,
            ListActiveMetricsOptionalParams::default(),
        )
        .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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run
/**
 * Get active metrics list returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.MetricsApi(configuration);

const params: v1.MetricsApiListActiveMetricsRequest = {
  from: 9223372036854775807,
};

apiInstance
  .listActiveMetrics(params)
  .then((data: v1.MetricsListResponse) => {
    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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

POST https://api.ap1.datadoghq.com/api/v2/query/timeserieshttps://api.datadoghq.eu/api/v2/query/timeserieshttps://api.ddog-gov.com/api/v2/query/timeserieshttps://api.datadoghq.com/api/v2/query/timeserieshttps://api.us3.datadoghq.com/api/v2/query/timeserieshttps://api.us5.datadoghq.com/api/v2/query/timeseries

Información general

Query timeseries data across various data sources and process the data by applying formulas and functions. This endpoint requires the timeseries_query permission.

OAuth apps require the timeseries_query authorization scope to access this endpoint.

Solicitud

Body Data (required)

Expand All

Campo

Tipo

Descripción

data [required]

object

A single timeseries query to be executed.

attributes [required]

object

The object describing a timeseries formula request.

formulas

[object]

List of formulas to be calculated and returned as responses.

formula [required]

string

Formula string, referencing one or more queries with their name property.

limit

object

Message for specifying limits to the number of values returned by a query. This limit is only for scalar queries and has no effect on timeseries queries.

count

int32

The number of results to which to limit.

order

enum

Direction of sort. Allowed enum values: asc,desc

default: desc

from [required]

int64

Start date (inclusive) of the query in milliseconds since the Unix epoch.

interval

int64

A time interval in milliseconds. May be overridden by a larger interval if the query would result in too many points for the specified timeframe. Defaults to a reasonable interval for the given timeframe.

queries [required]

[ <oneOf>]

List of queries to be run and used as inputs to the formulas.

Option 1

object

An individual timeseries metrics query.

data_source [required]

enum

A data source that is powered by the Metrics platform. Allowed enum values: metrics,cloud_cost

default: metrics

name

string

The variable name for use in formulas.

query [required]

string

A classic metrics query string.

Option 2

object

An individual timeseries events query.

compute [required]

object

The instructions for what to compute for this query.

aggregation [required]

enum

The type of aggregation that can be performed on events-based queries. Allowed enum values: count,cardinality,pc75,pc90,pc95,pc98,pc99,sum,min,max,avg

default: count

interval

int64

Interval for compute in milliseconds.

metric

string

The "measure" attribute on which to perform the computation.

data_source [required]

enum

A data source that is powered by the Events Platform. Allowed enum values: logs,rum

default: logs

group_by

[object]

The list of facets on which to split results.

facet [required]

string

The facet by which to split groups.

limit

int32

The maximum buckets to return for this group by. Note: at most 10000 buckets are allowed. If grouping by multiple facets, the product of limits must not exceed 10000.

default: 10

sort

object

The dimension by which to sort a query's results.

aggregation [required]

enum

The type of aggregation that can be performed on events-based queries. Allowed enum values: count,cardinality,pc75,pc90,pc95,pc98,pc99,sum,min,max,avg

default: count

metric

string

The metric's calculated value which should be used to define the sort order of a query's results.

order

enum

Direction of sort. Allowed enum values: asc,desc

default: desc

type

enum

The type of sort to use on the calculated value. Allowed enum values: alphabetical,measure

indexes

[string]

The indexes in which to search.

name

string

The variable name for use in formulas.

search

object

Configuration of the search/filter for an events query.

query

string

The search/filter string for an events query.

to [required]

int64

End date (exclusive) of the query in milliseconds since the Unix epoch.

type [required]

enum

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

default: timeseries_request

{
  "data": {
    "attributes": {
      "formulas": [
        {
          "formula": "a",
          "limit": {
            "count": 10,
            "order": "desc"
          }
        }
      ],
      "from": 1636625471000,
      "interval": 5000,
      "queries": [
        {
          "data_source": "metrics",
          "query": "avg:datadog.estimated_usage.metrics.custom{*}",
          "name": "a"
        }
      ],
      "to": 1636629071000
    },
    "type": "timeseries_request"
  }
}

Respuesta

OK

A message containing one response to a timeseries query made with timeseries formula query request.

Expand All

Campo

Tipo

Descripción

data

object

A message containing the response to a timeseries query.

attributes

object

The object describing a timeseries response.

series

[object]

Array of response series. The index here corresponds to the index in the formulas or queries array from the request.

group_tags

[string]

List of tags that apply to a single response value.

query_index

int32

The index of the query in the "formulas" array (or "queries" array if no "formulas" was specified).

unit

[object]

Detailed information about the unit. The first element describes the "primary unit" (for example, bytes in bytes per second). The second element describes the "per unit" (for example, second in bytes per second). If the second element is not present, the API returns null.

family

string

Unit family, allows for conversion between units of the same family, for scaling.

name

string

Unit name

plural

string

Plural form of the unit name.

scale_factor

double

Factor for scaling between units of the same family.

short_name

string

Abbreviation of the unit.

times

[integer]

Array of times, 1-1 match with individual values arrays.

values

[array]

Array of value-arrays. The index here corresponds to the index in the formulas or queries array from the request.

type

enum

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

default: timeseries_response

errors

string

The error generated by the request.

{
  "data": {
    "attributes": {
      "series": [
        {
          "group_tags": [
            "env:production"
          ],
          "query_index": 0,
          "unit": [
            {
              "family": "time",
              "name": "minute",
              "plural": "minutes",
              "scale_factor": 60,
              "short_name": "min"
            }
          ]
        }
      ],
      "times": [],
      "values": [
        1575317847,
        0.5
      ]
    },
    "type": "timeseries_response"
  },
  "errors": "string"
}

Bad Request

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Unauthorized

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Forbidden

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/query/timeseries" \ -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": { "formulas": [ { "formula": "a", "limit": { "count": 10, "order": "desc" } } ], "from": 1636625471000, "interval": 5000, "queries": [ { "data_source": "metrics", "query": "avg:datadog.estimated_usage.metrics.custom{*}", "name": "a" } ], "to": 1636629071000 }, "type": "timeseries_request" } } EOF
// Timeseries cross product query 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.TimeseriesFormulaQueryRequest{
		Data: datadogV2.TimeseriesFormulaRequest{
			Attributes: datadogV2.TimeseriesFormulaRequestAttributes{
				Formulas: []datadogV2.QueryFormula{
					{
						Formula: "a",
						Limit: &datadogV2.FormulaLimit{
							Count: datadog.PtrInt32(10),
							Order: datadogV2.QUERYSORTORDER_DESC.Ptr(),
						},
					},
				},
				From:     1636625471000,
				Interval: datadog.PtrInt64(5000),
				Queries: []datadogV2.TimeseriesQuery{
					datadogV2.TimeseriesQuery{
						MetricsTimeseriesQuery: &datadogV2.MetricsTimeseriesQuery{
							DataSource: datadogV2.METRICSDATASOURCE_METRICS,
							Query:      "avg:datadog.estimated_usage.metrics.custom{*}",
							Name:       datadog.PtrString("a"),
						}},
				},
				To: 1636629071000,
			},
			Type: datadogV2.TIMESERIESFORMULAREQUESTTYPE_TIMESERIES_REQUEST,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.QueryTimeseriesData", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewMetricsApi(apiClient)
	resp, r, err := api.QueryTimeseriesData(ctx, body)

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `MetricsApi.QueryTimeseriesData`:\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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Timeseries cross product query returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.MetricsApi;
import com.datadog.api.client.v2.model.FormulaLimit;
import com.datadog.api.client.v2.model.MetricsDataSource;
import com.datadog.api.client.v2.model.MetricsTimeseriesQuery;
import com.datadog.api.client.v2.model.QueryFormula;
import com.datadog.api.client.v2.model.QuerySortOrder;
import com.datadog.api.client.v2.model.TimeseriesFormulaQueryRequest;
import com.datadog.api.client.v2.model.TimeseriesFormulaQueryResponse;
import com.datadog.api.client.v2.model.TimeseriesFormulaRequest;
import com.datadog.api.client.v2.model.TimeseriesFormulaRequestAttributes;
import com.datadog.api.client.v2.model.TimeseriesFormulaRequestType;
import com.datadog.api.client.v2.model.TimeseriesQuery;
import java.util.Collections;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setUnstableOperationEnabled("v2.queryTimeseriesData", true);
    MetricsApi apiInstance = new MetricsApi(defaultClient);

    TimeseriesFormulaQueryRequest body =
        new TimeseriesFormulaQueryRequest()
            .data(
                new TimeseriesFormulaRequest()
                    .attributes(
                        new TimeseriesFormulaRequestAttributes()
                            .formulas(
                                Collections.singletonList(
                                    new QueryFormula()
                                        .formula("a")
                                        .limit(
                                            new FormulaLimit()
                                                .count(10)
                                                .order(QuerySortOrder.DESC))))
                            .from(1636625471000L)
                            .interval(5000L)
                            .queries(
                                Collections.singletonList(
                                    new TimeseriesQuery(
                                        new MetricsTimeseriesQuery()
                                            .dataSource(MetricsDataSource.METRICS)
                                            .query("avg:datadog.estimated_usage.metrics.custom{*}")
                                            .name("a"))))
                            .to(1636629071000L))
                    .type(TimeseriesFormulaRequestType.TIMESERIES_REQUEST));

    try {
      TimeseriesFormulaQueryResponse result = apiInstance.queryTimeseriesData(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#queryTimeseriesData");
      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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
"""
Timeseries cross product query returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.metrics_api import MetricsApi
from datadog_api_client.v2.model.formula_limit import FormulaLimit
from datadog_api_client.v2.model.metrics_data_source import MetricsDataSource
from datadog_api_client.v2.model.metrics_timeseries_query import MetricsTimeseriesQuery
from datadog_api_client.v2.model.query_formula import QueryFormula
from datadog_api_client.v2.model.query_sort_order import QuerySortOrder
from datadog_api_client.v2.model.timeseries_formula_query_request import TimeseriesFormulaQueryRequest
from datadog_api_client.v2.model.timeseries_formula_request import TimeseriesFormulaRequest
from datadog_api_client.v2.model.timeseries_formula_request_attributes import TimeseriesFormulaRequestAttributes
from datadog_api_client.v2.model.timeseries_formula_request_queries import TimeseriesFormulaRequestQueries
from datadog_api_client.v2.model.timeseries_formula_request_type import TimeseriesFormulaRequestType

body = TimeseriesFormulaQueryRequest(
    data=TimeseriesFormulaRequest(
        attributes=TimeseriesFormulaRequestAttributes(
            formulas=[
                QueryFormula(
                    formula="a",
                    limit=FormulaLimit(
                        count=10,
                        order=QuerySortOrder.DESC,
                    ),
                ),
            ],
            _from=1636625471000,
            interval=5000,
            queries=TimeseriesFormulaRequestQueries(
                [
                    MetricsTimeseriesQuery(
                        data_source=MetricsDataSource.METRICS,
                        query="avg:datadog.estimated_usage.metrics.custom{*}",
                        name="a",
                    ),
                ]
            ),
            to=1636629071000,
        ),
        type=TimeseriesFormulaRequestType.TIMESERIES_REQUEST,
    ),
)

configuration = Configuration()
configuration.unstable_operations["query_timeseries_data"] = True
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.query_timeseries_data(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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Timeseries cross product query returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.unstable_operations["v2.query_timeseries_data".to_sym] = true
end
api_instance = DatadogAPIClient::V2::MetricsAPI.new

body = DatadogAPIClient::V2::TimeseriesFormulaQueryRequest.new({
  data: DatadogAPIClient::V2::TimeseriesFormulaRequest.new({
    attributes: DatadogAPIClient::V2::TimeseriesFormulaRequestAttributes.new({
      formulas: [
        DatadogAPIClient::V2::QueryFormula.new({
          formula: "a",
          limit: DatadogAPIClient::V2::FormulaLimit.new({
            count: 10,
            order: DatadogAPIClient::V2::QuerySortOrder::DESC,
          }),
        }),
      ],
      from: 1636625471000,
      interval: 5000,
      queries: [
        DatadogAPIClient::V2::MetricsTimeseriesQuery.new({
          data_source: DatadogAPIClient::V2::MetricsDataSource::METRICS,
          query: "avg:datadog.estimated_usage.metrics.custom{*}",
          name: "a",
        }),
      ],
      to: 1636629071000,
    }),
    type: DatadogAPIClient::V2::TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
  }),
})
p api_instance.query_timeseries_data(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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Timeseries cross product query returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_metrics::MetricsAPI;
use datadog_api_client::datadogV2::model::FormulaLimit;
use datadog_api_client::datadogV2::model::MetricsDataSource;
use datadog_api_client::datadogV2::model::MetricsTimeseriesQuery;
use datadog_api_client::datadogV2::model::QueryFormula;
use datadog_api_client::datadogV2::model::QuerySortOrder;
use datadog_api_client::datadogV2::model::TimeseriesFormulaQueryRequest;
use datadog_api_client::datadogV2::model::TimeseriesFormulaRequest;
use datadog_api_client::datadogV2::model::TimeseriesFormulaRequestAttributes;
use datadog_api_client::datadogV2::model::TimeseriesFormulaRequestType;
use datadog_api_client::datadogV2::model::TimeseriesQuery;

#[tokio::main]
async fn main() {
    let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
        TimeseriesFormulaRequestAttributes::new(
            1636625471000,
            vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
                MetricsTimeseriesQuery::new(
                    MetricsDataSource::METRICS,
                    "avg:datadog.estimated_usage.metrics.custom{*}".to_string(),
                )
                .name("a".to_string()),
            ))],
            1636629071000,
        )
        .formulas(vec![QueryFormula::new("a".to_string())
            .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])
        .interval(5000),
        TimeseriesFormulaRequestType::TIMESERIES_REQUEST,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.QueryTimeseriesData", true);
    let api = MetricsAPI::with_config(configuration);
    let resp = api.query_timeseries_data(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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run
/**
 * Timeseries cross product query returns "OK" response
 */

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

const configuration = client.createConfiguration();
configuration.unstableOperations["v2.queryTimeseriesData"] = true;
const apiInstance = new v2.MetricsApi(configuration);

const params: v2.MetricsApiQueryTimeseriesDataRequest = {
  body: {
    data: {
      attributes: {
        formulas: [
          {
            formula: "a",
            limit: {
              count: 10,
              order: "desc",
            },
          },
        ],
        from: 1636625471000,
        interval: 5000,
        queries: [
          {
            dataSource: "metrics",
            query: "avg:datadog.estimated_usage.metrics.custom{*}",
            name: "a",
          },
        ],
        to: 1636629071000,
      },
      type: "timeseries_request",
    },
  },
};

apiInstance
  .queryTimeseriesData(params)
  .then((data: v2.TimeseriesFormulaQueryResponse) => {
    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="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

POST https://api.ap1.datadoghq.com/api/v1/distribution_pointshttps://api.datadoghq.eu/api/v1/distribution_pointshttps://api.ddog-gov.com/api/v1/distribution_pointshttps://api.datadoghq.com/api/v1/distribution_pointshttps://api.us3.datadoghq.com/api/v1/distribution_pointshttps://api.us5.datadoghq.com/api/v1/distribution_points

Información general

El endpoint de los puntos de distribución te permite publicar datos de distribución que se puedan representar gráficamente en dashboards de Datadog.

Argumentos

Parámetros de cabecera

Nombre

Tipo

Descripción

Content-Encoding

string

HTTP header used to compress the media-type.

Solicitud

Body Data (required)

Expand All

Campo

Tipo

Descripción

series [required]

[object]

A list of distribution points series to submit to Datadog.

host

string

The name of the host that produced the distribution point metric.

metric [required]

string

The name of the distribution points metric.

points [required]

[array]

Points relating to the distribution point metric. All points must be tuples with timestamp and a list of values (cannot be a string). Timestamps should be in POSIX time in seconds.

tags

[string]

A list of tags associated with the distribution point metric.

type

enum

The type of the distribution point. Allowed enum values: distribution

default: distribution

{
  "series": [
    {
      "metric": "system.load.1.dist",
      "points": [
        [
          1636629071,
          [
            1.0,
            2.0
          ]
        ]
      ]
    }
  ]
}
{
  "series": [
    {
      "metric": "system.load.1.dist",
      "points": [
        [
          1636629071,
          [
            1.0,
            2.0
          ]
        ]
      ]
    }
  ]
}

Respuesta

Payload accepted

The payload accepted for intake.

Expand All

Campo

Tipo

Descripción

status

string

The status of the intake payload.

{
  "status": "ok"
}

Bad Request

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Authentication error

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Request timeout

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Payload too large

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Too many requests

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Ejemplo de código

                          ## Dynamic Points
# Post time-series data that can be graphed on Datadog’s dashboards.

See one of the other client libraries for an example of sending deflate-compressed data.

                          ## Dynamic Points
# Post time-series data that can be graphed on Datadog’s dashboards.

# Template variables
export NOW="$(date +%s)"
# 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/v1/distribution_points" \ -H "Accept: application/json" \ -H "Content-Type: text/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -d @- << EOF { "series": [ { "metric": "system.load.1.dist", "points": [[${NOW}, [1234.5]]] } ] } EOF
// Submit deflate distribution points returns "Payload accepted" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	body := datadogV1.DistributionPointsPayload{
		Series: []datadogV1.DistributionPointsSeries{
			{
				Metric: "system.load.1.dist",
				Points: [][]datadogV1.DistributionPointItem{
					{
						{DistributionPointTimestamp: datadog.PtrFloat64(float64(time.Now().Unix()))},
						{DistributionPointData: &[]float64{
							1.0,
							2.0,
						}},
					},
				},
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewMetricsApi(apiClient)
	resp, r, err := api.SubmitDistributionPoints(ctx, body, *datadogV1.NewSubmitDistributionPointsOptionalParameters().WithContentEncoding(datadogV1.DISTRIBUTIONPOINTSCONTENTENCODING_DEFLATE))

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `MetricsApi.SubmitDistributionPoints`:\n%s\n", responseContent)
}
// Submit distribution points returns "Payload accepted" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	body := datadogV1.DistributionPointsPayload{
		Series: []datadogV1.DistributionPointsSeries{
			{
				Metric: "system.load.1.dist",
				Points: [][]datadogV1.DistributionPointItem{
					{
						{DistributionPointTimestamp: datadog.PtrFloat64(float64(time.Now().Unix()))},
						{DistributionPointData: &[]float64{
							1.0,
							2.0,
						}},
					},
				},
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewMetricsApi(apiClient)
	resp, r, err := api.SubmitDistributionPoints(ctx, body, *datadogV1.NewSubmitDistributionPointsOptionalParameters())

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `MetricsApi.SubmitDistributionPoints`:\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="<DD_API_KEY>" go run "main.go"
// Submit deflate distribution points returns "Payload accepted" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.MetricsApi;
import com.datadog.api.client.v1.api.MetricsApi.SubmitDistributionPointsOptionalParameters;
import com.datadog.api.client.v1.model.DistributionPointItem;
import com.datadog.api.client.v1.model.DistributionPointsContentEncoding;
import com.datadog.api.client.v1.model.DistributionPointsPayload;
import com.datadog.api.client.v1.model.DistributionPointsSeries;
import com.datadog.api.client.v1.model.IntakePayloadAccepted;
import java.time.OffsetDateTime;
import java.util.Arrays;
import java.util.Collections;

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

    DistributionPointsPayload body =
        new DistributionPointsPayload()
            .series(
                Collections.singletonList(
                    new DistributionPointsSeries()
                        .metric("system.load.1.dist")
                        .points(
                            Collections.singletonList(
                                Arrays.asList(
                                    new DistributionPointItem(
                                        Long.valueOf(
                                                OffsetDateTime.now().toInstant().getEpochSecond())
                                            .doubleValue()),
                                    new DistributionPointItem(Arrays.asList(1.0, 2.0)))))));

    try {
      IntakePayloadAccepted result =
          apiInstance.submitDistributionPoints(
              body,
              new SubmitDistributionPointsOptionalParameters()
                  .contentEncoding(DistributionPointsContentEncoding.DEFLATE));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#submitDistributionPoints");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}
// Submit distribution points returns "Payload accepted" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.MetricsApi;
import com.datadog.api.client.v1.model.DistributionPointItem;
import com.datadog.api.client.v1.model.DistributionPointsPayload;
import com.datadog.api.client.v1.model.DistributionPointsSeries;
import com.datadog.api.client.v1.model.IntakePayloadAccepted;
import java.time.OffsetDateTime;
import java.util.Arrays;
import java.util.Collections;

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

    DistributionPointsPayload body =
        new DistributionPointsPayload()
            .series(
                Collections.singletonList(
                    new DistributionPointsSeries()
                        .metric("system.load.1.dist")
                        .points(
                            Collections.singletonList(
                                Arrays.asList(
                                    new DistributionPointItem(
                                        Long.valueOf(
                                                OffsetDateTime.now().toInstant().getEpochSecond())
                                            .doubleValue()),
                                    new DistributionPointItem(Arrays.asList(1.0, 2.0)))))));

    try {
      IntakePayloadAccepted result = apiInstance.submitDistributionPoints(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#submitDistributionPoints");
      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="<DD_API_KEY>" java "Example.java"
"""
Submit deflate distribution points returns "Payload accepted" response
"""

from datetime import datetime
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.metrics_api import MetricsApi
from datadog_api_client.v1.model.distribution_point import DistributionPoint
from datadog_api_client.v1.model.distribution_points_content_encoding import DistributionPointsContentEncoding
from datadog_api_client.v1.model.distribution_points_payload import DistributionPointsPayload
from datadog_api_client.v1.model.distribution_points_series import DistributionPointsSeries

body = DistributionPointsPayload(
    series=[
        DistributionPointsSeries(
            metric="system.load.1.dist",
            points=[
                DistributionPoint(
                    [
                        datetime.now().timestamp(),
                        [1.0, 2.0],
                    ]
                ),
            ],
        ),
    ],
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.submit_distribution_points(
        content_encoding=DistributionPointsContentEncoding.DEFLATE, body=body
    )

    print(response)
"""
Submit distribution points returns "Payload accepted" response
"""

from datetime import datetime
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.metrics_api import MetricsApi
from datadog_api_client.v1.model.distribution_point import DistributionPoint
from datadog_api_client.v1.model.distribution_points_payload import DistributionPointsPayload
from datadog_api_client.v1.model.distribution_points_series import DistributionPointsSeries

body = DistributionPointsPayload(
    series=[
        DistributionPointsSeries(
            metric="system.load.1.dist",
            points=[
                DistributionPoint(
                    [
                        datetime.now().timestamp(),
                        [1.0, 2.0],
                    ]
                ),
            ],
        ),
    ],
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.submit_distribution_points(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="<DD_API_KEY>" python3 "example.py"
# Submit deflate distribution points returns "Payload accepted" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::MetricsAPI.new

body = DatadogAPIClient::V1::DistributionPointsPayload.new({
  series: [
    DatadogAPIClient::V1::DistributionPointsSeries.new({
      metric: "system.load.1.dist",
      points: [
        [
          Time.now,
          [
            1.0,
            2.0,
          ],
        ],
      ],
    }),
  ],
})
opts = {
  content_encoding: DistributionPointsContentEncoding::DEFLATE,
}
p api_instance.submit_distribution_points(body, opts)
# Submit distribution points returns "Payload accepted" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::MetricsAPI.new

body = DatadogAPIClient::V1::DistributionPointsPayload.new({
  series: [
    DatadogAPIClient::V1::DistributionPointsSeries.new({
      metric: "system.load.1.dist",
      points: [
        [
          Time.now,
          [
            1.0,
            2.0,
          ],
        ],
      ],
    }),
  ],
})
p api_instance.submit_distribution_points(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="<DD_API_KEY>" rb "example.rb"
// Submit deflate distribution points returns "Payload accepted" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_metrics::MetricsAPI;
use datadog_api_client::datadogV1::api_metrics::SubmitDistributionPointsOptionalParams;
use datadog_api_client::datadogV1::model::DistributionPointItem;
use datadog_api_client::datadogV1::model::DistributionPointsContentEncoding;
use datadog_api_client::datadogV1::model::DistributionPointsPayload;
use datadog_api_client::datadogV1::model::DistributionPointsSeries;

#[tokio::main]
async fn main() {
    let body = DistributionPointsPayload::new(vec![DistributionPointsSeries::new(
        "system.load.1.dist".to_string(),
        vec![vec![
            DistributionPointItem::DistributionPointTimestamp(1636629071.0 as f64),
            DistributionPointItem::DistributionPointData(vec![1.0, 2.0]),
        ]],
    )]);
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api
        .submit_distribution_points(
            body,
            SubmitDistributionPointsOptionalParams::default()
                .content_encoding(DistributionPointsContentEncoding::DEFLATE),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
// Submit distribution points returns "Payload accepted" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_metrics::MetricsAPI;
use datadog_api_client::datadogV1::api_metrics::SubmitDistributionPointsOptionalParams;
use datadog_api_client::datadogV1::model::DistributionPointItem;
use datadog_api_client::datadogV1::model::DistributionPointsPayload;
use datadog_api_client::datadogV1::model::DistributionPointsSeries;

#[tokio::main]
async fn main() {
    let body = DistributionPointsPayload::new(vec![DistributionPointsSeries::new(
        "system.load.1.dist".to_string(),
        vec![vec![
            DistributionPointItem::DistributionPointTimestamp(1636629071.0 as f64),
            DistributionPointItem::DistributionPointData(vec![1.0, 2.0]),
        ]],
    )]);
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api
        .submit_distribution_points(body, SubmitDistributionPointsOptionalParams::default())
        .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="<DD_API_KEY>" cargo run
/**
 * Submit deflate distribution points returns "Payload accepted" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.MetricsApi(configuration);

const params: v1.MetricsApiSubmitDistributionPointsRequest = {
  body: {
    series: [
      {
        metric: "system.load.1.dist",
        points: [[Math.round(new Date().getTime() / 1000), [1.0, 2.0]]],
      },
    ],
  },
  contentEncoding: "deflate",
};

apiInstance
  .submitDistributionPoints(params)
  .then((data: v1.IntakePayloadAccepted) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));
/**
 * Submit distribution points returns "Payload accepted" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.MetricsApi(configuration);

const params: v1.MetricsApiSubmitDistributionPointsRequest = {
  body: {
    series: [
      {
        metric: "system.load.1.dist",
        points: [[Math.round(new Date().getTime() / 1000), [1.0, 2.0]]],
      },
    ],
  },
};

apiInstance
  .submitDistributionPoints(params)
  .then((data: v1.IntakePayloadAccepted) => {
    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="<DD_API_KEY>" tsc "example.ts"

POST https://api.ap1.datadoghq.com/api/v1/serieshttps://api.datadoghq.eu/api/v1/serieshttps://api.ddog-gov.com/api/v1/serieshttps://api.datadoghq.com/api/v1/serieshttps://api.us3.datadoghq.com/api/v1/serieshttps://api.us5.datadoghq.com/api/v1/series

Información general

El endpoint de métricas te permite publicar datos de series temporales que pueden representarse gráficamente en dashboards de Datadog. El tamaño máximo de la carga útil es de 3,2 megabytes (3200000 bytes). Las cargas útiles comprimidas deben tener un tamaño descomprimido inferior a 62 megabytes (62914560 bytes).

Si envías métricas directamente a la API Datadog sin utilizar DogStatsD, espera:

  • 64 bits para la marca de tiempo
  • 64 bits para el valor
  • 40 bytes para los nombres de métrica
  • 50 bytes para las series temporales
  • La carga útil completa es de aproximadamente 100 bytes. Sin embargo, con la API DogStatsD se aplica una compresión, lo que reduce el tamaño de la carga útil.

Argumentos

Parámetros de cabecera

Nombre

Tipo

Descripción

Content-Encoding

string

HTTP header used to compress the media-type.

Solicitud

Body Data (required)

Expand All

Campo

Tipo

Descripción

series [required]

[object]

A list of timeseries to submit to Datadog.

host

string

The name of the host that produced the metric.

interval

int64

If the type of the metric is rate or count, define the corresponding interval in seconds.

metric [required]

string

The name of the timeseries.

points [required]

[array]

Points relating to a metric. All points must be tuples with timestamp and a scalar value (cannot be a string). Timestamps should be in POSIX time in seconds, and cannot be more than ten minutes in the future or more than one hour in the past.

tags

[string]

A list of tags associated with the metric.

type

string

The type of the metric. Valid types are "",count, gauge, and rate.

{
  "series": [
    {
      "metric": "system.load.1",
      "type": "gauge",
      "points": [
        [
          1636629071,
          1.1
        ]
      ],
      "tags": [
        "test:ExampleMetric"
      ]
    }
  ]
}
{
  "series": [
    {
      "metric": "system.load.1",
      "type": "gauge",
      "points": [
        [
          1636629071,
          1.1
        ]
      ],
      "tags": [
        "test:ExampleMetric"
      ]
    }
  ]
}

Respuesta

Payload accepted

The payload accepted for intake.

Expand All

Campo

Tipo

Descripción

status

string

The status of the intake payload.

{
  "status": "ok"
}

Bad Request

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Authentication error

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Request timeout

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Payload too large

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Too many requests

Error response object.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

Array of errors returned by the API.

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

Ejemplo de código

                          ## Dynamic Points
# Post time-series data that can be graphed on Datadog’s dashboards.

See one of the other client libraries for an example of sending deflate-compressed data.

                          ## Dynamic Points
# Post time-series data that can be graphed on Datadog’s dashboards.

# Template variables
export NOW="$(date +%s)"
# 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/v1/series" \ -H "Accept: application/json" \ -H "Content-Type: text/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -d @- << EOF { "series": [ { "metric": "system.load.1", "points": [[${NOW}, 1234.5]] } ] } EOF
// Submit deflate metrics returns "Payload accepted" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	body := datadogV1.MetricsPayload{
		Series: []datadogV1.Series{
			{
				Metric: "system.load.1",
				Type:   datadog.PtrString("gauge"),
				Points: [][]*float64{
					{
						datadog.PtrFloat64(float64(time.Now().Unix())),
						datadog.PtrFloat64(1.1),
					},
				},
				Tags: []string{
					"test:ExampleMetric",
				},
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewMetricsApi(apiClient)
	resp, r, err := api.SubmitMetrics(ctx, body, *datadogV1.NewSubmitMetricsOptionalParameters().WithContentEncoding(datadogV1.METRICCONTENTENCODING_DEFLATE))

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `MetricsApi.SubmitMetrics`:\n%s\n", responseContent)
}
// Submit metrics returns "Payload accepted" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	body := datadogV1.MetricsPayload{
		Series: []datadogV1.Series{
			{
				Metric: "system.load.1",
				Type:   datadog.PtrString("gauge"),
				Points: [][]*float64{
					{
						datadog.PtrFloat64(float64(time.Now().Unix())),
						datadog.PtrFloat64(1.1),
					},
				},
				Tags: []string{
					"test:ExampleMetric",
				},
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewMetricsApi(apiClient)
	resp, r, err := api.SubmitMetrics(ctx, body, *datadogV1.NewSubmitMetricsOptionalParameters())

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `MetricsApi.SubmitMetrics`:\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="<DD_API_KEY>" go run "main.go"
// Submit deflate metrics returns "Payload accepted" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.MetricsApi;
import com.datadog.api.client.v1.api.MetricsApi.SubmitMetricsOptionalParameters;
import com.datadog.api.client.v1.model.IntakePayloadAccepted;
import com.datadog.api.client.v1.model.MetricContentEncoding;
import com.datadog.api.client.v1.model.MetricsPayload;
import com.datadog.api.client.v1.model.Series;
import java.time.OffsetDateTime;
import java.util.Arrays;
import java.util.Collections;

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

    MetricsPayload body =
        new MetricsPayload()
            .series(
                Collections.singletonList(
                    new Series()
                        .metric("system.load.1")
                        .type("gauge")
                        .points(
                            Collections.singletonList(
                                Arrays.asList(
                                    Long.valueOf(OffsetDateTime.now().toInstant().getEpochSecond())
                                        .doubleValue(),
                                    1.1)))
                        .tags(Collections.singletonList("test:ExampleMetric"))));

    try {
      IntakePayloadAccepted result =
          apiInstance.submitMetrics(
              body,
              new SubmitMetricsOptionalParameters().contentEncoding(MetricContentEncoding.DEFLATE));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#submitMetrics");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}
// Submit metrics returns "Payload accepted" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.MetricsApi;
import com.datadog.api.client.v1.model.IntakePayloadAccepted;
import com.datadog.api.client.v1.model.MetricsPayload;
import com.datadog.api.client.v1.model.Series;
import java.time.OffsetDateTime;
import java.util.Arrays;
import java.util.Collections;

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

    MetricsPayload body =
        new MetricsPayload()
            .series(
                Collections.singletonList(
                    new Series()
                        .metric("system.load.1")
                        .type("gauge")
                        .points(
                            Collections.singletonList(
                                Arrays.asList(
                                    Long.valueOf(OffsetDateTime.now().toInstant().getEpochSecond())
                                        .doubleValue(),
                                    1.1)))
                        .tags(Collections.singletonList("test:ExampleMetric"))));

    try {
      IntakePayloadAccepted result = apiInstance.submitMetrics(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#submitMetrics");
      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="<DD_API_KEY>" java "Example.java"
from datadog import initialize, api
import time

options = {
    'api_key': '<DATADOG_API_KEY>'
    ## EU costumers need to define 'api_host' as below
    #'api_host': 'https://api.datadoghq.eu/'
}

initialize(**options)

now = time.time()
future_10s = now + 10

# Submit a single point with a timestamp of `now`
api.Metric.send(metric='page.views', points=1000)

# Submit a point with a timestamp (must be current)
api.Metric.send(metric='my.pair', points=(now, 15))

# Submit multiple points.
api.Metric.send(
    metric='my.series',
    points=[
        (now, 15),
        (future_10s, 16)
    ]
)

# Submit a point with a host and tags.
api.Metric.send(
    metric='my.series',
    points=100,
    host="myhost.example.com",
    tags=["version:1"]
)

# Submit multiple metrics
api.Metric.send([{
    'metric': 'my.series',
    'points': 15
}, {
    'metric': 'my1.series',
    'points': 16
}])

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="<DD_API_KEY>" python "example.py"
"""
Submit deflate metrics returns "Payload accepted" response
"""

from datetime import datetime
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.metrics_api import MetricsApi
from datadog_api_client.v1.model.metric_content_encoding import MetricContentEncoding
from datadog_api_client.v1.model.metrics_payload import MetricsPayload
from datadog_api_client.v1.model.point import Point
from datadog_api_client.v1.model.series import Series

body = MetricsPayload(
    series=[
        Series(
            metric="system.load.1",
            type="gauge",
            points=[
                Point(
                    [
                        datetime.now().timestamp(),
                        1.1,
                    ]
                ),
            ],
            tags=[
                "test:ExampleMetric",
            ],
        ),
    ],
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.submit_metrics(content_encoding=MetricContentEncoding.DEFLATE, body=body)

    print(response)
"""
Submit metrics returns "Payload accepted" response
"""

from datetime import datetime
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.metrics_api import MetricsApi
from datadog_api_client.v1.model.metrics_payload import MetricsPayload
from datadog_api_client.v1.model.point import Point
from datadog_api_client.v1.model.series import Series

body = MetricsPayload(
    series=[
        Series(
            metric="system.load.1",
            type="gauge",
            points=[
                Point(
                    [
                        datetime.now().timestamp(),
                        1.1,
                    ]
                ),
            ],
            tags=[
                "test:ExampleMetric",
            ],
        ),
    ],
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.submit_metrics(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="<DD_API_KEY>" python3 "example.py"
require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'

dog = Dogapi::Client.new(api_key)

# Submit one metric value.
dog.emit_point('some.metric.name', 50.0, :host => "my_host.example.com")

# Submit multiple metric values
points = [
    [Time.now, 0],
    [Time.now + 10, 10.0],
    [Time.now + 20, 20.0]
]
dog.emit_points('some.metric.name', points, :tags => ["version:1"])

# Emit differents metrics in a single request to be more efficient
dog.batch_metrics do
  dog.emit_point('test.api.test_metric',10)
  dog.emit_point('test.api.this_other_metric', 1)
end

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="<DD_API_KEY>" rb "example.rb"
# Submit deflate metrics returns "Payload accepted" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::MetricsAPI.new

body = DatadogAPIClient::V1::MetricsPayload.new({
  series: [
    DatadogAPIClient::V1::Series.new({
      metric: "system.load.1",
      type: "gauge",
      points: [
        [
          Time.now.to_f,
          1.1,
        ],
      ],
      tags: [
        "test:ExampleMetric",
      ],
    }),
  ],
})
opts = {
  content_encoding: MetricContentEncoding::DEFLATE,
}
p api_instance.submit_metrics(body, opts)
# Submit metrics returns "Payload accepted" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::MetricsAPI.new

body = DatadogAPIClient::V1::MetricsPayload.new({
  series: [
    DatadogAPIClient::V1::Series.new({
      metric: "system.load.1",
      type: "gauge",
      points: [
        [
          Time.now.to_f,
          1.1,
        ],
      ],
      tags: [
        "test:ExampleMetric",
      ],
    }),
  ],
})
p api_instance.submit_metrics(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="<DD_API_KEY>" rb "example.rb"
// Submit deflate metrics returns "Payload accepted" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_metrics::MetricsAPI;
use datadog_api_client::datadogV1::api_metrics::SubmitMetricsOptionalParams;
use datadog_api_client::datadogV1::model::MetricContentEncoding;
use datadog_api_client::datadogV1::model::MetricsPayload;
use datadog_api_client::datadogV1::model::Series;

#[tokio::main]
async fn main() {
    let body = MetricsPayload::new(vec![Series::new(
        "system.load.1".to_string(),
        vec![vec![Some(1636629071.0 as f64), Some(1.1 as f64)]],
    )
    .tags(vec!["test:ExampleMetric".to_string()])
    .type_("gauge".to_string())]);
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api
        .submit_metrics(
            body,
            SubmitMetricsOptionalParams::default().content_encoding(MetricContentEncoding::DEFLATE),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
// Submit metrics returns "Payload accepted" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_metrics::MetricsAPI;
use datadog_api_client::datadogV1::api_metrics::SubmitMetricsOptionalParams;
use datadog_api_client::datadogV1::model::MetricsPayload;
use datadog_api_client::datadogV1::model::Series;

#[tokio::main]
async fn main() {
    let body = MetricsPayload::new(vec![Series::new(
        "system.load.1".to_string(),
        vec![vec![Some(1636629071.0 as f64), Some(1.1 as f64)]],
    )
    .tags(vec!["test:ExampleMetric".to_string()])
    .type_("gauge".to_string())]);
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api
        .submit_metrics(body, SubmitMetricsOptionalParams::default())
        .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="<DD_API_KEY>" cargo run
/**
 * Submit deflate metrics returns "Payload accepted" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.MetricsApi(configuration);

const params: v1.MetricsApiSubmitMetricsRequest = {
  body: {
    series: [
      {
        metric: "system.load.1",
        type: "gauge",
        points: [[Math.round(new Date().getTime() / 1000), 1.1]],
        tags: ["test:ExampleMetric"],
      },
    ],
  },
  contentEncoding: "deflate",
};

apiInstance
  .submitMetrics(params)
  .then((data: v1.IntakePayloadAccepted) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));
/**
 * Submit metrics returns "Payload accepted" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.MetricsApi(configuration);

const params: v1.MetricsApiSubmitMetricsRequest = {
  body: {
    series: [
      {
        metric: "system.load.1",
        type: "gauge",
        points: [[Math.round(new Date().getTime() / 1000), 1.1]],
        tags: ["test:ExampleMetric"],
      },
    ],
  },
};

apiInstance
  .submitMetrics(params)
  .then((data: v1.IntakePayloadAccepted) => {
    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="<DD_API_KEY>" tsc "example.ts"

POST https://api.ap1.datadoghq.com/api/v2/serieshttps://api.datadoghq.eu/api/v2/serieshttps://api.ddog-gov.com/api/v2/serieshttps://api.datadoghq.com/api/v2/serieshttps://api.us3.datadoghq.com/api/v2/serieshttps://api.us5.datadoghq.com/api/v2/series

Información general

El endpoint de métricas te permite publicar datos de series temporales que pueden representarse gráficamente en dashboards de Datadog. El tamaño máximo de la carga útil es de 3,2 megabytes (3200000 bytes). Las cargas útiles comprimidas deben tener un tamaño descomprimido inferior a 62 megabytes (62914560 bytes).

Si envías métricas directamente a la API Datadog sin utilizar DogStatsD, espera:

  • 64 bits para la marca de tiempo
  • 64 bits para el valor
  • 40 bytes para los nombres de métrica
  • 50 bytes para las series temporales
  • La carga útil completa es de aproximadamente 100 bytes. Sin embargo, con la API DogStatsD se aplica una compresión, lo que reduce el tamaño de la carga útil.

Argumentos

Parámetros de cabecera

Nombre

Tipo

Descripción

Content-Encoding

string

HTTP header used to compress the media-type.

Solicitud

Body Data (required)

Expand All

Campo

Tipo

Descripción

series [required]

[object]

A list of timeseries to submit to Datadog.

interval

int64

If the type of the metric is rate or count, define the corresponding interval in seconds.

metadata

object

Metadata for the metric.

origin

object

Metric origin information.

metric_type

int32

The origin metric type code

product

int32

The origin product code

service

int32

The origin service code

metric [required]

string

The name of the timeseries.

points [required]

[object]

Points relating to a metric. All points must be objects with timestamp and a scalar value (cannot be a string). Timestamps should be in POSIX time in seconds, and cannot be more than ten minutes in the future or more than one hour in the past.

timestamp

int64

The timestamp should be in seconds and current. Current is defined as not more than 10 minutes in the future or more than 1 hour in the past.

value

double

The numeric value format should be a 64bit float gauge-type value.

resources

[object]

A list of resources to associate with this metric.

name

string

The name of the resource.

type

string

The type of the resource.

source_type_name

string

The source type name.

tags

[string]

A list of tags associated with the metric.

type

enum

The type of metric. The available types are 0 (unspecified), 1 (count), 2 (rate), and 3 (gauge). Allowed enum values: 0,1,2,3

unit

string

The unit of point value.

{
  "series": [
    {
      "metric": "system.load.1",
      "type": 0,
      "points": [
        {
          "timestamp": 1636629071,
          "value": 0.7
        }
      ],
      "resources": [
        {
          "name": "dummyhost",
          "type": "host"
        }
      ]
    }
  ]
}
{
  "series": [
    {
      "metric": "system.load.1",
      "type": 0,
      "points": [
        {
          "timestamp": 1636629071,
          "value": 0.7
        }
      ]
    }
  ]
}

Respuesta

Payload accepted

The payload accepted for intake.

Expand All

Campo

Tipo

Descripción

errors

[string]

A list of errors.

{
  "errors": []
}

Bad Request

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Authentication error

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Request timeout

API error response.

Expand All

Campo

Tipo

Descripción

errors [required]

[string]

A list of errors.

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

Payload too large

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

                          ## Dynamic Points
# Post time-series data that can be graphed on Datadog’s dashboards.

# Template variables
export NOW="$(date +%s)"
# 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/series" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -d @- << EOF { "series": [ { "metric": "system.load.1", "type": 0, "points": [ { "timestamp": 1636629071, "value": 0.7 } ], "resources": [ { "name": "dummyhost", "type": "host" } ] } ] } EOF
                          ## Dynamic Points
# Post time-series data that can be graphed on Datadog’s dashboards.

See one of the other client libraries for an example of sending deflate-compressed data.

// Submit metrics returns "Payload accepted" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	body := datadogV2.MetricPayload{
		Series: []datadogV2.MetricSeries{
			{
				Metric: "system.load.1",
				Type:   datadogV2.METRICINTAKETYPE_UNSPECIFIED.Ptr(),
				Points: []datadogV2.MetricPoint{
					{
						Timestamp: datadog.PtrInt64(time.Now().Unix()),
						Value:     datadog.PtrFloat64(0.7),
					},
				},
				Resources: []datadogV2.MetricResource{
					{
						Name: datadog.PtrString("dummyhost"),
						Type: datadog.PtrString("host"),
					},
				},
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewMetricsApi(apiClient)
	resp, r, err := api.SubmitMetrics(ctx, body, *datadogV2.NewSubmitMetricsOptionalParameters())

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `MetricsApi.SubmitMetrics`:\n%s\n", responseContent)
}
// Submit metrics with compression returns "Payload accepted" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	body := datadogV2.MetricPayload{
		Series: []datadogV2.MetricSeries{
			{
				Metric: "system.load.1",
				Type:   datadogV2.METRICINTAKETYPE_UNSPECIFIED.Ptr(),
				Points: []datadogV2.MetricPoint{
					{
						Timestamp: datadog.PtrInt64(time.Now().Unix()),
						Value:     datadog.PtrFloat64(0.7),
					},
				},
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewMetricsApi(apiClient)
	resp, r, err := api.SubmitMetrics(ctx, body, *datadogV2.NewSubmitMetricsOptionalParameters().WithContentEncoding(datadogV2.METRICCONTENTENCODING_ZSTD1))

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `MetricsApi.SubmitMetrics`:\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="<DD_API_KEY>" go run "main.go"
// Submit metrics returns "Payload accepted" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.MetricsApi;
import com.datadog.api.client.v2.model.IntakePayloadAccepted;
import com.datadog.api.client.v2.model.MetricIntakeType;
import com.datadog.api.client.v2.model.MetricPayload;
import com.datadog.api.client.v2.model.MetricPoint;
import com.datadog.api.client.v2.model.MetricResource;
import com.datadog.api.client.v2.model.MetricSeries;
import java.time.OffsetDateTime;
import java.util.Collections;

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

    MetricPayload body =
        new MetricPayload()
            .series(
                Collections.singletonList(
                    new MetricSeries()
                        .metric("system.load.1")
                        .type(MetricIntakeType.UNSPECIFIED)
                        .points(
                            Collections.singletonList(
                                new MetricPoint()
                                    .timestamp(OffsetDateTime.now().toInstant().getEpochSecond())
                                    .value(0.7)))
                        .resources(
                            Collections.singletonList(
                                new MetricResource().name("dummyhost").type("host")))));

    try {
      IntakePayloadAccepted result = apiInstance.submitMetrics(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#submitMetrics");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}
// Submit metrics with compression returns "Payload accepted" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.MetricsApi;
import com.datadog.api.client.v2.api.MetricsApi.SubmitMetricsOptionalParameters;
import com.datadog.api.client.v2.model.IntakePayloadAccepted;
import com.datadog.api.client.v2.model.MetricContentEncoding;
import com.datadog.api.client.v2.model.MetricIntakeType;
import com.datadog.api.client.v2.model.MetricPayload;
import com.datadog.api.client.v2.model.MetricPoint;
import com.datadog.api.client.v2.model.MetricSeries;
import java.time.OffsetDateTime;
import java.util.Collections;

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

    MetricPayload body =
        new MetricPayload()
            .series(
                Collections.singletonList(
                    new MetricSeries()
                        .metric("system.load.1")
                        .type(MetricIntakeType.UNSPECIFIED)
                        .points(
                            Collections.singletonList(
                                new MetricPoint()
                                    .timestamp(OffsetDateTime.now().toInstant().getEpochSecond())
                                    .value(0.7)))));

    try {
      IntakePayloadAccepted result =
          apiInstance.submitMetrics(
              body,
              new SubmitMetricsOptionalParameters().contentEncoding(MetricContentEncoding.ZSTD1));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#submitMetrics");
      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="<DD_API_KEY>" java "Example.java"
"""
Submit metrics returns "Payload accepted" response
"""

from datetime import datetime
from datadog_api_client import ApiClient, Configuration<