Batch rows query

"""
Batch rows query returns "Successfully retrieved rows. Some or all requested rows were found. Response includes found
rows in the included section." response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.reference_tables_api import ReferenceTablesApi
from datadog_api_client.v2.model.batch_rows_query_data_type import BatchRowsQueryDataType
from datadog_api_client.v2.model.batch_rows_query_request import BatchRowsQueryRequest
from datadog_api_client.v2.model.batch_rows_query_request_data import BatchRowsQueryRequestData
from datadog_api_client.v2.model.batch_rows_query_request_data_attributes import BatchRowsQueryRequestDataAttributes

body = BatchRowsQueryRequest(
    data=BatchRowsQueryRequestData(
        attributes=BatchRowsQueryRequestDataAttributes(
            row_ids=[
                "row_id_1",
                "row_id_2",
            ],
            table_id="00000000-0000-0000-0000-000000000000",
        ),
        type=BatchRowsQueryDataType.REFERENCE_TABLES_BATCH_ROWS_QUERY,
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = ReferenceTablesApi(api_client)
    response = api_instance.batch_rows_query(body=body)

    print(response)

# Batch rows query returns "Successfully retrieved rows. Some or all requested rows were found. Response includes found
# rows in the included section." response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::ReferenceTablesAPI.new

body = DatadogAPIClient::V2::BatchRowsQueryRequest.new({
  data: DatadogAPIClient::V2::BatchRowsQueryRequestData.new({
    attributes: DatadogAPIClient::V2::BatchRowsQueryRequestDataAttributes.new({
      row_ids: [
        "row_id_1",
        "row_id_2",
      ],
      table_id: "00000000-0000-0000-0000-000000000000",
    }),
    type: DatadogAPIClient::V2::BatchRowsQueryDataType::REFERENCE_TABLES_BATCH_ROWS_QUERY,
  }),
})
p api_instance.batch_rows_query(body)

// Batch rows query returns "Successfully retrieved rows. Some or all requested rows were found. Response includes found
// rows in the included section." 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.BatchRowsQueryRequest{
		Data: &datadogV2.BatchRowsQueryRequestData{
			Attributes: &datadogV2.BatchRowsQueryRequestDataAttributes{
				RowIds: []string{
					"row_id_1",
					"row_id_2",
				},
				TableId: "00000000-0000-0000-0000-000000000000",
			},
			Type: datadogV2.BATCHROWSQUERYDATATYPE_REFERENCE_TABLES_BATCH_ROWS_QUERY,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewReferenceTablesApi(apiClient)
	resp, r, err := api.BatchRowsQuery(ctx, body)

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

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

// Batch rows query returns "Successfully retrieved rows. Some or all requested rows were found.
// Response includes found
// rows in the included section." 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.BatchRowsQueryDataType;
import com.datadog.api.client.v2.model.BatchRowsQueryRequest;
import com.datadog.api.client.v2.model.BatchRowsQueryRequestData;
import com.datadog.api.client.v2.model.BatchRowsQueryRequestDataAttributes;
import com.datadog.api.client.v2.model.BatchRowsQueryResponse;
import java.util.Arrays;

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

    BatchRowsQueryRequest body =
        new BatchRowsQueryRequest()
            .data(
                new BatchRowsQueryRequestData()
                    .attributes(
                        new BatchRowsQueryRequestDataAttributes()
                            .rowIds(Arrays.asList("row_id_1", "row_id_2"))
                            .tableId("00000000-0000-0000-0000-000000000000"))
                    .type(BatchRowsQueryDataType.REFERENCE_TABLES_BATCH_ROWS_QUERY));

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

// Batch rows query returns "Successfully retrieved rows. Some or all requested
// rows were found. Response includes found rows in the included section." response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_reference_tables::ReferenceTablesAPI;
use datadog_api_client::datadogV2::model::BatchRowsQueryDataType;
use datadog_api_client::datadogV2::model::BatchRowsQueryRequest;
use datadog_api_client::datadogV2::model::BatchRowsQueryRequestData;
use datadog_api_client::datadogV2::model::BatchRowsQueryRequestDataAttributes;

#[tokio::main]
async fn main() {
    let body = BatchRowsQueryRequest::new().data(
        BatchRowsQueryRequestData::new(BatchRowsQueryDataType::REFERENCE_TABLES_BATCH_ROWS_QUERY)
            .attributes(BatchRowsQueryRequestDataAttributes::new(
                vec!["row_id_1".to_string(), "row_id_2".to_string()],
                "00000000-0000-0000-0000-000000000000".to_string(),
            )),
    );
    let configuration = datadog::Configuration::new();
    let api = ReferenceTablesAPI::with_config(configuration);
    let resp = api.batch_rows_query(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Batch rows query returns "Successfully retrieved rows. Some or all requested rows were found. Response includes found
 * rows in the included section." response
 */

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

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

const params: v2.ReferenceTablesApiBatchRowsQueryRequest = {
  body: {
    data: {
      attributes: {
        rowIds: ["row_id_1", "row_id_2"],
        tableId: "00000000-0000-0000-0000-000000000000",
      },
      type: "reference-tables-batch-rows-query",
    },
  },
};

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