ラベルを使用したリソースのフィルタリング

import (
	"context"
	"fmt"
	"io"

	"cloud.google.com/go/bigquery"
	"google.golang.org/api/iterator"
)

// listDatasetsByLabel demonstrates walking the collection of datasets in a project, and
// filtering that list to a subset that has specific label metadata.
func listDatasetsByLabel(w io.Writer, projectID string) error {
	// projectID := "my-project-id"
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, projectID)
	if err != nil {
		return fmt.Errorf("bigquery.NewClient: %v", err)
	}
	defer client.Close()

	it := client.Datasets(ctx)
	it.Filter = "labels.color:green"
	for {
		dataset, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			return err
		}
		fmt.Fprintf(w, "dataset: %s\n", dataset.DatasetID)
	}
	return nil
}

import com.google.api.gax.paging.Page;
import com.google.cloud.bigquery.BigQuery;
import com.google.cloud.bigquery.BigQueryException;
import com.google.cloud.bigquery.BigQueryOptions;
import com.google.cloud.bigquery.Dataset;

// Sample to get list of datasets by label
public class ListDatasetsByLabel {

  public static void runListDatasetsByLabel() {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "MY_PROJECT_ID";
    String filter = "MY_LABEL_FILTER";
    listDatasetsByLabel(projectId, filter);
  }

  public static void listDatasetsByLabel(String projectId, String filter) {
    try {
      // Initialize client that will be used to send requests. This client only needs to be created
      // once, and can be reused for multiple requests.
      BigQuery bigquery = BigQueryOptions.getDefaultInstance().getService();

      Page<Dataset> datasets =
          bigquery.listDatasets(
              projectId,
              BigQuery.DatasetListOption.pageSize(100),
              BigQuery.DatasetListOption.labelFilter(filter)); // "labels.color:green"
      if (datasets == null) {
        System.out.println("Dataset does not contain any models");
        return;
      }
      datasets
          .iterateAll()
          .forEach(
              dataset -> System.out.printf("Success! Dataset ID: %s ", dataset.getDatasetId()));
    } catch (BigQueryException e) {
      System.out.println("Project does not contain any datasets \n" + e.toString());
    }
  }
}

// Import the Google Cloud client library
const {BigQuery} = require('@google-cloud/bigquery');
const bigquery = new BigQuery();

async function listDatasetsByLabel() {
  // Lists all datasets in current GCP project, filtering by label color:green.

  const options = {
    filter: 'labels.color:green',
  };
  // Lists all datasets in the specified project
  const [datasets] = await bigquery.getDatasets(options);

  console.log('Datasets:');
  datasets.forEach(dataset => console.log(dataset.id));
}

from google.cloud import bigquery

# Construct a BigQuery client object.
client = bigquery.Client()

label_filter = "labels.color:green"
datasets = list(client.list_datasets(filter=label_filter))  # Make an API request.

if datasets:
    print("Datasets filtered by {}:".format(label_filter))
    for dataset in datasets:
        print("\t{}.{}".format(dataset.project, dataset.dataset_id))
else:
    print("No datasets found with this filter.")