Create an Archive Search

// Create an Archive Search returns "OK" 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.ArchiveSearchCreateRequest{
		Data: datadogV2.ArchiveSearchCreateRequestData{
			Attributes: datadogV2.ArchiveSearchCreateRequestAttributes{
				ArchiveId:   "mhmyYmyLTOaFYKvhNadu1w",
				Description: datadog.PtrString("Investigating the checkout latency spike."),
				From:        time.Date(2026, 1, 1, 0, 0, 0, 0, time.UTC),
				Name:        "checkout-latency-investigation",
				Query:       "service:checkout status:error",
				Rehydration: &datadogV2.ArchiveSearchCreateRehydration{
					MaxRehydratedEvents: 1000000,
					RetentionDays:       15,
					Tier:                datadogV2.ARCHIVESEARCHREHYDRATIONTIER_STANDARD,
				},
				To: time.Date(2026, 1, 2, 0, 0, 0, 0, time.UTC),
			},
			Type: datadogV2.ARCHIVESEARCHTYPE_ARCHIVE_SEARCH,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateArchiveSearch", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewLogsArchiveSearchesApi(apiClient)
	resp, r, err := api.CreateArchiveSearch(ctx, body)

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

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

// Create an Archive Search returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.LogsArchiveSearchesApi;
import com.datadog.api.client.v2.model.ArchiveSearchCreateRehydration;
import com.datadog.api.client.v2.model.ArchiveSearchCreateRequest;
import com.datadog.api.client.v2.model.ArchiveSearchCreateRequestAttributes;
import com.datadog.api.client.v2.model.ArchiveSearchCreateRequestData;
import com.datadog.api.client.v2.model.ArchiveSearchRehydrationTier;
import com.datadog.api.client.v2.model.ArchiveSearchResponse;
import com.datadog.api.client.v2.model.ArchiveSearchType;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    defaultClient.setUnstableOperationEnabled("v2.createArchiveSearch", true);
    LogsArchiveSearchesApi apiInstance = new LogsArchiveSearchesApi(defaultClient);

    ArchiveSearchCreateRequest body =
        new ArchiveSearchCreateRequest()
            .data(
                new ArchiveSearchCreateRequestData()
                    .attributes(
                        new ArchiveSearchCreateRequestAttributes()
                            .archiveId("mhmyYmyLTOaFYKvhNadu1w")
                            .description("Investigating the checkout latency spike.")
                            .from(OffsetDateTime.parse("2026-01-01T00:00:00Z"))
                            .name("checkout-latency-investigation")
                            .query("service:checkout status:error")
                            .rehydration(
                                new ArchiveSearchCreateRehydration()
                                    .maxRehydratedEvents(1000000L)
                                    .retentionDays(15L)
                                    .tier(ArchiveSearchRehydrationTier.STANDARD))
                            .to(OffsetDateTime.parse("2026-01-02T00:00:00Z")))
                    .type(ArchiveSearchType.ARCHIVE_SEARCH));

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

"""
Create an Archive Search returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.logs_archive_searches_api import LogsArchiveSearchesApi
from datadog_api_client.v2.model.archive_search_create_rehydration import ArchiveSearchCreateRehydration
from datadog_api_client.v2.model.archive_search_create_request import ArchiveSearchCreateRequest
from datadog_api_client.v2.model.archive_search_create_request_attributes import ArchiveSearchCreateRequestAttributes
from datadog_api_client.v2.model.archive_search_create_request_data import ArchiveSearchCreateRequestData
from datadog_api_client.v2.model.archive_search_rehydration_tier import ArchiveSearchRehydrationTier
from datadog_api_client.v2.model.archive_search_type import ArchiveSearchType
from datetime import datetime
from dateutil.tz import tzutc

body = ArchiveSearchCreateRequest(
    data=ArchiveSearchCreateRequestData(
        attributes=ArchiveSearchCreateRequestAttributes(
            archive_id="mhmyYmyLTOaFYKvhNadu1w",
            description="Investigating the checkout latency spike.",
            _from=datetime(2026, 1, 1, 0, 0, tzinfo=tzutc()),
            name="checkout-latency-investigation",
            query="service:checkout status:error",
            rehydration=ArchiveSearchCreateRehydration(
                max_rehydrated_events=1000000,
                retention_days=15,
                tier=ArchiveSearchRehydrationTier.STANDARD,
            ),
            to=datetime(2026, 1, 2, 0, 0, tzinfo=tzutc()),
        ),
        type=ArchiveSearchType.ARCHIVE_SEARCH,
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["create_archive_search"] = True
with ApiClient(configuration) as api_client:
    api_instance = LogsArchiveSearchesApi(api_client)
    response = api_instance.create_archive_search(body=body)

    print(response)

# Create an Archive Search returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
  config.unstable_operations["v2.create_archive_search".to_sym] = true
end
api_instance = DatadogAPIClient::V2::LogsArchiveSearchesAPI.new

body = DatadogAPIClient::V2::ArchiveSearchCreateRequest.new({
  data: DatadogAPIClient::V2::ArchiveSearchCreateRequestData.new({
    attributes: DatadogAPIClient::V2::ArchiveSearchCreateRequestAttributes.new({
      archive_id: "mhmyYmyLTOaFYKvhNadu1w",
      description: "Investigating the checkout latency spike.",
      from: "2026-01-01T00:00:00Z",
      name: "checkout-latency-investigation",
      query: "service:checkout status:error",
      rehydration: DatadogAPIClient::V2::ArchiveSearchCreateRehydration.new({
        max_rehydrated_events: 1000000,
        retention_days: 15,
        tier: DatadogAPIClient::V2::ArchiveSearchRehydrationTier::STANDARD,
      }),
      to: "2026-01-02T00:00:00Z",
    }),
    type: DatadogAPIClient::V2::ArchiveSearchType::ARCHIVE_SEARCH,
  }),
})
p api_instance.create_archive_search(body)

// Create an Archive Search returns "OK" response
use chrono::{DateTime, Utc};
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_logs_archive_searches::LogsArchiveSearchesAPI;
use datadog_api_client::datadogV2::model::ArchiveSearchCreateRehydration;
use datadog_api_client::datadogV2::model::ArchiveSearchCreateRequest;
use datadog_api_client::datadogV2::model::ArchiveSearchCreateRequestAttributes;
use datadog_api_client::datadogV2::model::ArchiveSearchCreateRequestData;
use datadog_api_client::datadogV2::model::ArchiveSearchRehydrationTier;
use datadog_api_client::datadogV2::model::ArchiveSearchType;

#[tokio::main]
async fn main() {
    let body = ArchiveSearchCreateRequest::new(ArchiveSearchCreateRequestData::new(
        ArchiveSearchCreateRequestAttributes::new(
            "mhmyYmyLTOaFYKvhNadu1w".to_string(),
            DateTime::parse_from_rfc3339("2026-01-01T00:00:00+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
            "checkout-latency-investigation".to_string(),
            "service:checkout status:error".to_string(),
            DateTime::parse_from_rfc3339("2026-01-02T00:00:00+00:00")
                .expect("Failed to parse datetime")
                .with_timezone(&Utc),
        )
        .description("Investigating the checkout latency spike.".to_string())
        .rehydration(ArchiveSearchCreateRehydration::new(
            1000000,
            15,
            ArchiveSearchRehydrationTier::STANDARD,
        )),
        ArchiveSearchType::ARCHIVE_SEARCH,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.create_archive_search", true);
    let api = LogsArchiveSearchesAPI::with_config(configuration);
    let resp = api.create_archive_search(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}