スパンを集計する

// Aggregate spans 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.SpansAggregateRequest{
		Data: &datadogV2.SpansAggregateData{
			Attributes: &datadogV2.SpansAggregateRequestAttributes{
				Compute: []datadogV2.SpansCompute{
					{
						Aggregation: datadogV2.SPANSAGGREGATIONFUNCTION_COUNT,
						Interval:    datadog.PtrString("5m"),
						Type:        datadogV2.SPANSCOMPUTETYPE_TIMESERIES.Ptr(),
					},
				},
				Filter: &datadogV2.SpansQueryFilter{
					From:  datadog.PtrString("now-15m"),
					Query: datadog.PtrString("*"),
					To:    datadog.PtrString("now"),
				},
			},
			Type: datadogV2.SPANSAGGREGATEREQUESTTYPE_AGGREGATE_REQUEST.Ptr(),
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSpansApi(apiClient)
	resp, r, err := api.AggregateSpans(ctx, body)

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

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

// Aggregate spans returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SpansApi;
import com.datadog.api.client.v2.model.SpansAggregateData;
import com.datadog.api.client.v2.model.SpansAggregateRequest;
import com.datadog.api.client.v2.model.SpansAggregateRequestAttributes;
import com.datadog.api.client.v2.model.SpansAggregateRequestType;
import com.datadog.api.client.v2.model.SpansAggregateResponse;
import com.datadog.api.client.v2.model.SpansAggregationFunction;
import com.datadog.api.client.v2.model.SpansCompute;
import com.datadog.api.client.v2.model.SpansComputeType;
import com.datadog.api.client.v2.model.SpansQueryFilter;
import java.util.Collections;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    SpansApi apiInstance = new SpansApi(defaultClient);

    SpansAggregateRequest body =
        new SpansAggregateRequest()
            .data(
                new SpansAggregateData()
                    .attributes(
                        new SpansAggregateRequestAttributes()
                            .compute(
                                Collections.singletonList(
                                    new SpansCompute()
                                        .aggregation(SpansAggregationFunction.COUNT)
                                        .interval("5m")
                                        .type(SpansComputeType.TIMESERIES)))
                            .filter(new SpansQueryFilter().from("now-15m").query("*").to("now")))
                    .type(SpansAggregateRequestType.AGGREGATE_REQUEST));

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

"""
Aggregate spans returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.spans_api import SpansApi
from datadog_api_client.v2.model.spans_aggregate_data import SpansAggregateData
from datadog_api_client.v2.model.spans_aggregate_request import SpansAggregateRequest
from datadog_api_client.v2.model.spans_aggregate_request_attributes import SpansAggregateRequestAttributes
from datadog_api_client.v2.model.spans_aggregate_request_type import SpansAggregateRequestType
from datadog_api_client.v2.model.spans_aggregation_function import SpansAggregationFunction
from datadog_api_client.v2.model.spans_compute import SpansCompute
from datadog_api_client.v2.model.spans_compute_type import SpansComputeType
from datadog_api_client.v2.model.spans_query_filter import SpansQueryFilter

body = SpansAggregateRequest(
    data=SpansAggregateData(
        attributes=SpansAggregateRequestAttributes(
            compute=[
                SpansCompute(
                    aggregation=SpansAggregationFunction.COUNT,
                    interval="5m",
                    type=SpansComputeType.TIMESERIES,
                ),
            ],
            filter=SpansQueryFilter(
                _from="now-15m",
                query="*",
                to="now",
            ),
        ),
        type=SpansAggregateRequestType.AGGREGATE_REQUEST,
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = SpansApi(api_client)
    response = api_instance.aggregate_spans(body=body)

    print(response)

# Aggregate spans returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::SpansAPI.new

body = DatadogAPIClient::V2::SpansAggregateRequest.new({
  data: DatadogAPIClient::V2::SpansAggregateData.new({
    attributes: DatadogAPIClient::V2::SpansAggregateRequestAttributes.new({
      compute: [
        DatadogAPIClient::V2::SpansCompute.new({
          aggregation: DatadogAPIClient::V2::SpansAggregationFunction::COUNT,
          interval: "5m",
          type: DatadogAPIClient::V2::SpansComputeType::TIMESERIES,
        }),
      ],
      filter: DatadogAPIClient::V2::SpansQueryFilter.new({
        from: "now-15m",
        query: "*",
        to: "now",
      }),
    }),
    type: DatadogAPIClient::V2::SpansAggregateRequestType::AGGREGATE_REQUEST,
  }),
})
p api_instance.aggregate_spans(body)

// Aggregate spans returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_spans::SpansAPI;
use datadog_api_client::datadogV2::model::SpansAggregateData;
use datadog_api_client::datadogV2::model::SpansAggregateRequest;
use datadog_api_client::datadogV2::model::SpansAggregateRequestAttributes;
use datadog_api_client::datadogV2::model::SpansAggregateRequestType;
use datadog_api_client::datadogV2::model::SpansAggregationFunction;
use datadog_api_client::datadogV2::model::SpansCompute;
use datadog_api_client::datadogV2::model::SpansComputeType;
use datadog_api_client::datadogV2::model::SpansQueryFilter;

#[tokio::main]
async fn main() {
    let body = SpansAggregateRequest::new().data(
        SpansAggregateData::new()
            .attributes(
                SpansAggregateRequestAttributes::new()
                    .compute(vec![SpansCompute::new(SpansAggregationFunction::COUNT)
                        .interval("5m".to_string())
                        .type_(SpansComputeType::TIMESERIES)])
                    .filter(
                        SpansQueryFilter::new()
                            .from("now-15m".to_string())
                            .query("*".to_string())
                            .to("now".to_string()),
                    ),
            )
            .type_(SpansAggregateRequestType::AGGREGATE_REQUEST),
    );
    let configuration = datadog::Configuration::new();
    let api = SpansAPI::with_config(configuration);
    let resp = api.aggregate_spans(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Aggregate spans returns "OK" response
 */

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

const configuration = client.createConfiguration({
  authMethods: {
    AuthZ: {
      accessToken: process.env.DD_BEARER_TOKEN as string,
    },
  },
});
const apiInstance = new v2.SpansApi(configuration);

const params: v2.SpansApiAggregateSpansRequest = {
  body: {
    data: {
      attributes: {
        compute: [
          {
            aggregation: "count",
            interval: "5m",
            type: "timeseries",
          },
        ],
        filter: {
          from: "now-15m",
          query: "*",
          to: "now",
        },
      },
      type: "aggregate_request",
    },
  },
};

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