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Get a log-based metric

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GET https://api.ap1.datadoghq.com/api/v2/logs/config/metrics/{metric_id}https://api.ap2.datadoghq.com/api/v2/logs/config/metrics/{metric_id}https://api.datadoghq.eu/api/v2/logs/config/metrics/{metric_id}https://api.ddog-gov.com/api/v2/logs/config/metrics/{metric_id}https://api.us2.ddog-gov.com/api/v2/logs/config/metrics/{metric_id}https://api.datadoghq.com/api/v2/logs/config/metrics/{metric_id}https://api.us3.datadoghq.com/api/v2/logs/config/metrics/{metric_id}https://api.us5.datadoghq.com/api/v2/logs/config/metrics/{metric_id}

Overview

Get a specific log-based metric from your organization. This endpoint requires the logs_read_config permission.

Arguments

Path Parameters

Name

Type

Description

metric_id [required]

string

The name of the log-based metric.

Response

OK

The log-based metric object.

Expand All

Field

Type

Description

data

object

The log-based metric properties.

attributes

object

The object describing a Datadog log-based metric.

compute

object

The compute rule to compute the log-based metric.

aggregation_type

enum

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

include_percentiles

boolean

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

path

string

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

filter

object

The log-based metric filter. Logs matching this filter will be aggregated in this metric.

query

string

The search query - following the log search syntax.

group_by

[object]

The rules for the group by.

path

string

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

tag_name

string

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

id

string

The name of the log-based metric.

type

enum

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

default: logs_metrics

{
  "data": {
    "attributes": {
      "compute": {
        "aggregation_type": "distribution",
        "include_percentiles": true,
        "path": "@duration"
      },
      "filter": {
        "query": "service:web* AND @http.status_code:[200 TO 299]"
      },
      "group_by": [
        {
          "path": "@http.status_code",
          "tag_name": "status_code"
        }
      ]
    },
    "id": "logs.page.load.count",
    "type": "logs_metrics"
  }
}

Not Authorized

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

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

Not Found

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

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

Too many requests

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

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

Code Example

                  # Path parameters
export metric_id="CHANGE_ME"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.ap2.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.us2.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/logs/config/metrics/${metric_id}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

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

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.logs_metrics_api import LogsMetricsApi

# there is a valid "logs_metric" in the system
LOGS_METRIC_DATA_ID = environ["LOGS_METRIC_DATA_ID"]

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = LogsMetricsApi(api_client)
    response = api_instance.get_logs_metric(
        metric_id=LOGS_METRIC_DATA_ID,
    )

    print(response)

Instructions

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

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" python3 "example.py"
# Get a log-based metric returns "OK" response

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

# there is a valid "logs_metric" in the system
LOGS_METRIC_DATA_ID = ENV["LOGS_METRIC_DATA_ID"]
p api_instance.get_logs_metric(LOGS_METRIC_DATA_ID)

Instructions

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

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
// Get a log-based metric returns "OK" response

package main

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

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

func main() {
	// there is a valid "logs_metric" in the system
	LogsMetricDataID := os.Getenv("LOGS_METRIC_DATA_ID")

	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewLogsMetricsApi(apiClient)
	resp, r, err := api.GetLogsMetric(ctx, LogsMetricDataID)

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `LogsMetricsApi.GetLogsMetric`:\n%s\n", responseContent)
}

Instructions

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

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" go run "main.go"
// Get a log-based metric returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.LogsMetricsApi;
import com.datadog.api.client.v2.model.LogsMetricResponse;

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

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

    try {
      LogsMetricResponse result = apiInstance.getLogsMetric(LOGS_METRIC_DATA_ID);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling LogsMetricsApi#getLogsMetric");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

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

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"
// Get a log-based metric returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_logs_metrics::LogsMetricsAPI;

#[tokio::main]
async fn main() {
    // there is a valid "logs_metric" in the system
    let logs_metric_data_id = std::env::var("LOGS_METRIC_DATA_ID").unwrap();
    let configuration = datadog::Configuration::new();
    let api = LogsMetricsAPI::with_config(configuration);
    let resp = api.get_logs_metric(logs_metric_data_id.clone()).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

First install the library and its dependencies and then save the example to src/main.rs and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run
/**
 * Get a log-based metric returns "OK" response
 */

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

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

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

const params: v2.LogsMetricsApiGetLogsMetricRequest = {
  metricId: LOGS_METRIC_DATA_ID,
};

apiInstance
  .getLogsMetric(params)
  .then((data: v2.LogsMetricResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

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

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"