Créer une importation de table de référence

// Create reference table upload returns "Created" 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.CreateUploadRequest{
		Data: &datadogV2.CreateUploadRequestData{
			Attributes: &datadogV2.CreateUploadRequestDataAttributes{
				Headers: []string{
					"id",
					"name",
					"value",
				},
				TableName: "test_upload_table_Example-Reference-Table",
				PartCount: 1,
				PartSize:  1024,
			},
			Type: datadogV2.CREATEUPLOADREQUESTDATATYPE_UPLOAD,
		},
	}
	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.NewReferenceTablesApi(apiClient)
	resp, r, err := api.CreateReferenceTableUpload(ctx, body)

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

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

// Create reference table upload returns "Created" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.ReferenceTablesApi;
import com.datadog.api.client.v2.model.CreateUploadRequest;
import com.datadog.api.client.v2.model.CreateUploadRequestData;
import com.datadog.api.client.v2.model.CreateUploadRequestDataAttributes;
import com.datadog.api.client.v2.model.CreateUploadRequestDataType;
import com.datadog.api.client.v2.model.CreateUploadResponse;
import java.util.Arrays;

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

    CreateUploadRequest body =
        new CreateUploadRequest()
            .data(
                new CreateUploadRequestData()
                    .attributes(
                        new CreateUploadRequestDataAttributes()
                            .headers(Arrays.asList("id", "name", "value"))
                            .tableName("test_upload_table_Example-Reference-Table")
                            .partCount(1)
                            .partSize(1024L))
                    .type(CreateUploadRequestDataType.UPLOAD));

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

"""
Create reference table upload returns "Created" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.reference_tables_api import ReferenceTablesApi
from datadog_api_client.v2.model.create_upload_request import CreateUploadRequest
from datadog_api_client.v2.model.create_upload_request_data import CreateUploadRequestData
from datadog_api_client.v2.model.create_upload_request_data_attributes import CreateUploadRequestDataAttributes
from datadog_api_client.v2.model.create_upload_request_data_type import CreateUploadRequestDataType

body = CreateUploadRequest(
    data=CreateUploadRequestData(
        attributes=CreateUploadRequestDataAttributes(
            headers=[
                "id",
                "name",
                "value",
            ],
            table_name="test_upload_table_Example-Reference-Table",
            part_count=1,
            part_size=1024,
        ),
        type=CreateUploadRequestDataType.UPLOAD,
    ),
)

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

    print(response)

# Create reference table upload returns "Created" response

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

body = DatadogAPIClient::V2::CreateUploadRequest.new({
  data: DatadogAPIClient::V2::CreateUploadRequestData.new({
    attributes: DatadogAPIClient::V2::CreateUploadRequestDataAttributes.new({
      headers: [
        "id",
        "name",
        "value",
      ],
      table_name: "test_upload_table_Example-Reference-Table",
      part_count: 1,
      part_size: 1024,
    }),
    type: DatadogAPIClient::V2::CreateUploadRequestDataType::UPLOAD,
  }),
})
p api_instance.create_reference_table_upload(body)

// Create reference table upload returns "Created" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_reference_tables::ReferenceTablesAPI;
use datadog_api_client::datadogV2::model::CreateUploadRequest;
use datadog_api_client::datadogV2::model::CreateUploadRequestData;
use datadog_api_client::datadogV2::model::CreateUploadRequestDataAttributes;
use datadog_api_client::datadogV2::model::CreateUploadRequestDataType;

#[tokio::main]
async fn main() {
    let body = CreateUploadRequest::new().data(
        CreateUploadRequestData::new(CreateUploadRequestDataType::UPLOAD).attributes(
            CreateUploadRequestDataAttributes::new(
                vec!["id".to_string(), "name".to_string(), "value".to_string()],
                1,
                1024,
                "test_upload_table_Example-Reference-Table".to_string(),
            ),
        ),
    );
    let configuration = datadog::Configuration::new();
    let api = ReferenceTablesAPI::with_config(configuration);
    let resp = api.create_reference_table_upload(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Create reference table upload returns "Created" 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.ReferenceTablesApi(configuration);

const params: v2.ReferenceTablesApiCreateReferenceTableUploadRequest = {
  body: {
    data: {
      attributes: {
        headers: ["id", "name", "value"],
        tableName: "test_upload_table_Example-Reference-Table",
        partCount: 1,
        partSize: 1024,
      },
      type: "upload",
    },
  },
};

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