Tag Configuration Cardinality Estimator

"""
Tag Configuration Cardinality Estimator returns "Success" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.metrics_api import MetricsApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.estimate_metrics_output_series(
        metric_name="system.cpu.idle",
        filter_groups="app,host",
        filter_num_aggregations=4,
    )

    print(response)

# Tag Configuration Cardinality Estimator returns "Success" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::MetricsAPI.new
opts = {
  filter_groups: "app,host",
  filter_num_aggregations: 4,
}
p api_instance.estimate_metrics_output_series("system.cpu.idle", opts)

// Tag Configuration Cardinality Estimator returns "Success" response

package main

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

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

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewMetricsApi(apiClient)
	resp, r, err := api.EstimateMetricsOutputSeries(ctx, "system.cpu.idle", *datadogV2.NewEstimateMetricsOutputSeriesOptionalParameters().WithFilterGroups("app,host").WithFilterNumAggregations(4))

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

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

// Tag Configuration Cardinality Estimator returns "Success" 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.EstimateMetricsOutputSeriesOptionalParameters;
import com.datadog.api.client.v2.model.MetricEstimateResponse;

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

    try {
      MetricEstimateResponse result =
          apiInstance.estimateMetricsOutputSeries(
              "system.cpu.idle",
              new EstimateMetricsOutputSeriesOptionalParameters()
                  .filterGroups("app,host")
                  .filterNumAggregations(4));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#estimateMetricsOutputSeries");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

// Tag Configuration Cardinality Estimator returns "Success" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_metrics::EstimateMetricsOutputSeriesOptionalParams;
use datadog_api_client::datadogV2::api_metrics::MetricsAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api
        .estimate_metrics_output_series(
            "system.cpu.idle".to_string(),
            EstimateMetricsOutputSeriesOptionalParams::default()
                .filter_groups("app,host".to_string())
                .filter_num_aggregations(4),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Tag Configuration Cardinality Estimator returns "Success" response
 */

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

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

const params: v2.MetricsApiEstimateMetricsOutputSeriesRequest = {
  metricName: "system.cpu.idle",
  filterGroups: "app,host",
  filterNumAggregations: 4,
};

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