Agregar eventos

// Aggregate compute events 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.LogsAggregateRequest{
		Compute: []datadogV2.LogsCompute{
			{
				Aggregation: datadogV2.LOGSAGGREGATIONFUNCTION_COUNT,
				Interval:    datadog.PtrString("5m"),
				Type:        datadogV2.LOGSCOMPUTETYPE_TIMESERIES.Ptr(),
			},
		},
		Filter: &datadogV2.LogsQueryFilter{
			From: datadog.PtrString("now-15m"),
			Indexes: []string{
				"main",
			},
			Query: datadog.PtrString("*"),
			To:    datadog.PtrString("now"),
		},
	}
	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.NewLogsApi(apiClient)
	resp, r, err := api.AggregateLogs(ctx, body)

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

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

// Aggregate compute events with group by 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.LogsAggregateRequest{
		Compute: []datadogV2.LogsCompute{
			{
				Aggregation: datadogV2.LOGSAGGREGATIONFUNCTION_COUNT,
				Interval:    datadog.PtrString("5m"),
				Type:        datadogV2.LOGSCOMPUTETYPE_TIMESERIES.Ptr(),
			},
		},
		Filter: &datadogV2.LogsQueryFilter{
			From: datadog.PtrString("now-15m"),
			Indexes: []string{
				"main",
			},
			Query: datadog.PtrString("*"),
			To:    datadog.PtrString("now"),
		},
		GroupBy: []datadogV2.LogsGroupBy{
			{
				Facet: "host",
				Missing: &datadogV2.LogsGroupByMissing{
					LogsGroupByMissingString: datadog.PtrString("miss")},
				Sort: &datadogV2.LogsAggregateSort{
					Type:        datadogV2.LOGSAGGREGATESORTTYPE_MEASURE.Ptr(),
					Order:       datadogV2.LOGSSORTORDER_ASCENDING.Ptr(),
					Aggregation: datadogV2.LOGSAGGREGATIONFUNCTION_PERCENTILE_90.Ptr(),
					Metric:      datadog.PtrString("@duration"),
				},
			},
		},
	}
	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.NewLogsApi(apiClient)
	resp, r, err := api.AggregateLogs(ctx, body)

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

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

// Aggregate events 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.LogsAggregateRequest{
		Filter: &datadogV2.LogsQueryFilter{
			From: datadog.PtrString("now-15m"),
			Indexes: []string{
				"main",
			},
			Query: datadog.PtrString("*"),
			To:    datadog.PtrString("now"),
		},
	}
	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.NewLogsApi(apiClient)
	resp, r, err := api.AggregateLogs(ctx, body)

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

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

// Aggregate compute events returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.LogsApi;
import com.datadog.api.client.v2.model.LogsAggregateRequest;
import com.datadog.api.client.v2.model.LogsAggregateResponse;
import com.datadog.api.client.v2.model.LogsAggregationFunction;
import com.datadog.api.client.v2.model.LogsCompute;
import com.datadog.api.client.v2.model.LogsComputeType;
import com.datadog.api.client.v2.model.LogsQueryFilter;
import java.util.Collections;

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

    LogsAggregateRequest body =
        new LogsAggregateRequest()
            .compute(
                Collections.singletonList(
                    new LogsCompute()
                        .aggregation(LogsAggregationFunction.COUNT)
                        .interval("5m")
                        .type(LogsComputeType.TIMESERIES)))
            .filter(
                new LogsQueryFilter()
                    .from("now-15m")
                    .indexes(Collections.singletonList("main"))
                    .query("*")
                    .to("now"));

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

// Aggregate compute events with group by returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.LogsApi;
import com.datadog.api.client.v2.model.LogsAggregateRequest;
import com.datadog.api.client.v2.model.LogsAggregateResponse;
import com.datadog.api.client.v2.model.LogsAggregateSort;
import com.datadog.api.client.v2.model.LogsAggregateSortType;
import com.datadog.api.client.v2.model.LogsAggregationFunction;
import com.datadog.api.client.v2.model.LogsCompute;
import com.datadog.api.client.v2.model.LogsComputeType;
import com.datadog.api.client.v2.model.LogsGroupBy;
import com.datadog.api.client.v2.model.LogsGroupByMissing;
import com.datadog.api.client.v2.model.LogsQueryFilter;
import com.datadog.api.client.v2.model.LogsSortOrder;
import java.util.Collections;

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

    LogsAggregateRequest body =
        new LogsAggregateRequest()
            .compute(
                Collections.singletonList(
                    new LogsCompute()
                        .aggregation(LogsAggregationFunction.COUNT)
                        .interval("5m")
                        .type(LogsComputeType.TIMESERIES)))
            .filter(
                new LogsQueryFilter()
                    .from("now-15m")
                    .indexes(Collections.singletonList("main"))
                    .query("*")
                    .to("now"))
            .groupBy(
                Collections.singletonList(
                    new LogsGroupBy()
                        .facet("host")
                        .missing(new LogsGroupByMissing("miss"))
                        .sort(
                            new LogsAggregateSort()
                                .type(LogsAggregateSortType.MEASURE)
                                .order(LogsSortOrder.ASCENDING)
                                .aggregation(LogsAggregationFunction.PERCENTILE_90)
                                .metric("@duration"))));

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

// Aggregate events returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.LogsApi;
import com.datadog.api.client.v2.model.LogsAggregateRequest;
import com.datadog.api.client.v2.model.LogsAggregateResponse;
import com.datadog.api.client.v2.model.LogsQueryFilter;
import java.util.Collections;

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

    LogsAggregateRequest body =
        new LogsAggregateRequest()
            .filter(
                new LogsQueryFilter()
                    .from("now-15m")
                    .indexes(Collections.singletonList("main"))
                    .query("*")
                    .to("now"));

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

"""
Aggregate compute events returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.logs_api import LogsApi
from datadog_api_client.v2.model.logs_aggregate_request import LogsAggregateRequest
from datadog_api_client.v2.model.logs_aggregation_function import LogsAggregationFunction
from datadog_api_client.v2.model.logs_compute import LogsCompute
from datadog_api_client.v2.model.logs_compute_type import LogsComputeType
from datadog_api_client.v2.model.logs_query_filter import LogsQueryFilter

body = LogsAggregateRequest(
    compute=[
        LogsCompute(
            aggregation=LogsAggregationFunction.COUNT,
            interval="5m",
            type=LogsComputeType.TIMESERIES,
        ),
    ],
    filter=LogsQueryFilter(
        _from="now-15m",
        indexes=[
            "main",
        ],
        query="*",
        to="now",
    ),
)

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

    print(response)

"""
Aggregate compute events with group by returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.logs_api import LogsApi
from datadog_api_client.v2.model.logs_aggregate_request import LogsAggregateRequest
from datadog_api_client.v2.model.logs_aggregate_sort import LogsAggregateSort
from datadog_api_client.v2.model.logs_aggregate_sort_type import LogsAggregateSortType
from datadog_api_client.v2.model.logs_aggregation_function import LogsAggregationFunction
from datadog_api_client.v2.model.logs_compute import LogsCompute
from datadog_api_client.v2.model.logs_compute_type import LogsComputeType
from datadog_api_client.v2.model.logs_group_by import LogsGroupBy
from datadog_api_client.v2.model.logs_query_filter import LogsQueryFilter
from datadog_api_client.v2.model.logs_sort_order import LogsSortOrder

body = LogsAggregateRequest(
    compute=[
        LogsCompute(
            aggregation=LogsAggregationFunction.COUNT,
            interval="5m",
            type=LogsComputeType.TIMESERIES,
        ),
    ],
    filter=LogsQueryFilter(
        _from="now-15m",
        indexes=[
            "main",
        ],
        query="*",
        to="now",
    ),
    group_by=[
        LogsGroupBy(
            facet="host",
            missing="miss",
            sort=LogsAggregateSort(
                type=LogsAggregateSortType.MEASURE,
                order=LogsSortOrder.ASCENDING,
                aggregation=LogsAggregationFunction.PERCENTILE_90,
                metric="@duration",
            ),
        ),
    ],
)

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

    print(response)

"""
Aggregate events returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.logs_api import LogsApi
from datadog_api_client.v2.model.logs_aggregate_request import LogsAggregateRequest
from datadog_api_client.v2.model.logs_query_filter import LogsQueryFilter

body = LogsAggregateRequest(
    filter=LogsQueryFilter(
        _from="now-15m",
        indexes=[
            "main",
        ],
        query="*",
        to="now",
    ),
)

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

    print(response)

# Aggregate compute events returns "OK" response

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

body = DatadogAPIClient::V2::LogsAggregateRequest.new({
  compute: [
    DatadogAPIClient::V2::LogsCompute.new({
      aggregation: DatadogAPIClient::V2::LogsAggregationFunction::COUNT,
      interval: "5m",
      type: DatadogAPIClient::V2::LogsComputeType::TIMESERIES,
    }),
  ],
  filter: DatadogAPIClient::V2::LogsQueryFilter.new({
    from: "now-15m",
    indexes: [
      "main",
    ],
    query: "*",
    to: "now",
  }),
})
p api_instance.aggregate_logs(body)

# Aggregate compute events with group by returns "OK" response

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

body = DatadogAPIClient::V2::LogsAggregateRequest.new({
  compute: [
    DatadogAPIClient::V2::LogsCompute.new({
      aggregation: DatadogAPIClient::V2::LogsAggregationFunction::COUNT,
      interval: "5m",
      type: DatadogAPIClient::V2::LogsComputeType::TIMESERIES,
    }),
  ],
  filter: DatadogAPIClient::V2::LogsQueryFilter.new({
    from: "now-15m",
    indexes: [
      "main",
    ],
    query: "*",
    to: "now",
  }),
  group_by: [
    DatadogAPIClient::V2::LogsGroupBy.new({
      facet: "host",
      missing: "miss",
      sort: DatadogAPIClient::V2::LogsAggregateSort.new({
        type: DatadogAPIClient::V2::LogsAggregateSortType::MEASURE,
        order: DatadogAPIClient::V2::LogsSortOrder::ASCENDING,
        aggregation: DatadogAPIClient::V2::LogsAggregationFunction::PERCENTILE_90,
        metric: "@duration",
      }),
    }),
  ],
})
p api_instance.aggregate_logs(body)

# Aggregate events returns "OK" response

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

body = DatadogAPIClient::V2::LogsAggregateRequest.new({
  filter: DatadogAPIClient::V2::LogsQueryFilter.new({
    from: "now-15m",
    indexes: [
      "main",
    ],
    query: "*",
    to: "now",
  }),
})
p api_instance.aggregate_logs(body)

// Aggregate compute events returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_logs::LogsAPI;
use datadog_api_client::datadogV2::model::LogsAggregateRequest;
use datadog_api_client::datadogV2::model::LogsAggregationFunction;
use datadog_api_client::datadogV2::model::LogsCompute;
use datadog_api_client::datadogV2::model::LogsComputeType;
use datadog_api_client::datadogV2::model::LogsQueryFilter;

#[tokio::main]
async fn main() {
    let body = LogsAggregateRequest::new()
        .compute(vec![LogsCompute::new(LogsAggregationFunction::COUNT)
            .interval("5m".to_string())
            .type_(LogsComputeType::TIMESERIES)])
        .filter(
            LogsQueryFilter::new()
                .from("now-15m".to_string())
                .indexes(vec!["main".to_string()])
                .query("*".to_string())
                .to("now".to_string()),
        );
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

// Aggregate compute events with group by returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_logs::LogsAPI;
use datadog_api_client::datadogV2::model::LogsAggregateRequest;
use datadog_api_client::datadogV2::model::LogsAggregateSort;
use datadog_api_client::datadogV2::model::LogsAggregateSortType;
use datadog_api_client::datadogV2::model::LogsAggregationFunction;
use datadog_api_client::datadogV2::model::LogsCompute;
use datadog_api_client::datadogV2::model::LogsComputeType;
use datadog_api_client::datadogV2::model::LogsGroupBy;
use datadog_api_client::datadogV2::model::LogsGroupByMissing;
use datadog_api_client::datadogV2::model::LogsQueryFilter;
use datadog_api_client::datadogV2::model::LogsSortOrder;

#[tokio::main]
async fn main() {
    let body = LogsAggregateRequest::new()
        .compute(vec![LogsCompute::new(LogsAggregationFunction::COUNT)
            .interval("5m".to_string())
            .type_(LogsComputeType::TIMESERIES)])
        .filter(
            LogsQueryFilter::new()
                .from("now-15m".to_string())
                .indexes(vec!["main".to_string()])
                .query("*".to_string())
                .to("now".to_string()),
        )
        .group_by(vec![LogsGroupBy::new("host".to_string())
            .missing(LogsGroupByMissing::LogsGroupByMissingString(
                "miss".to_string(),
            ))
            .sort(
                LogsAggregateSort::new()
                    .aggregation(LogsAggregationFunction::PERCENTILE_90)
                    .metric("@duration".to_string())
                    .order(LogsSortOrder::ASCENDING)
                    .type_(LogsAggregateSortType::MEASURE),
            )]);
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

// Aggregate events returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_logs::LogsAPI;
use datadog_api_client::datadogV2::model::LogsAggregateRequest;
use datadog_api_client::datadogV2::model::LogsQueryFilter;

#[tokio::main]
async fn main() {
    let body = LogsAggregateRequest::new().filter(
        LogsQueryFilter::new()
            .from("now-15m".to_string())
            .indexes(vec!["main".to_string()])
            .query("*".to_string())
            .to("now".to_string()),
    );
    let configuration = datadog::Configuration::new();
    let api = LogsAPI::with_config(configuration);
    let resp = api.aggregate_logs(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Aggregate compute events 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.LogsApi(configuration);

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

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

/**
 * Aggregate compute events with group by 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.LogsApi(configuration);

const params: v2.LogsApiAggregateLogsRequest = {
  body: {
    compute: [
      {
        aggregation: "count",
        interval: "5m",
        type: "timeseries",
      },
    ],
    filter: {
      from: "now-15m",
      indexes: ["main"],
      query: "*",
      to: "now",
    },
    groupBy: [
      {
        facet: "host",
        missing: "miss",
        sort: {
          type: "measure",
          order: "asc",
          aggregation: "pc90",
          metric: "@duration",
        },
      },
    ],
  },
};

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

/**
 * Aggregate events 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.LogsApi(configuration);

const params: v2.LogsApiAggregateLogsRequest = {
  body: {
    filter: {
      from: "now-15m",
      indexes: ["main"],
      query: "*",
      to: "now",
    },
  },
};

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