リソースへのラベルの追加

import ( 	"context" 	"fmt"  	"cloud.google.com/go/bigquery" )  // addDatasetLabel demonstrates adding label metadata to an existing dataset. func addDatasetLabel(projectID, datasetID string) error { 	// projectID := "my-project-id" 	// datasetID := "mydataset" 	ctx := context.Background() 	client, err := bigquery.NewClient(ctx, projectID) 	if err != nil { 		return fmt.Errorf("bigquery.NewClient: %v", err) 	} 	defer client.Close()  	ds := client.Dataset(datasetID) 	meta, err := ds.Metadata(ctx) 	if err != nil { 		return err 	}  	update := bigquery.DatasetMetadataToUpdate{} 	update.SetLabel("color", "green") 	if _, err := ds.Update(ctx, update, meta.ETag); err != nil { 		return err 	} 	return nil } 

import com.google.cloud.bigquery.BigQuery; import com.google.cloud.bigquery.BigQueryException; import com.google.cloud.bigquery.BigQueryOptions; import com.google.cloud.bigquery.Dataset; import java.util.HashMap; import java.util.Map;  // Sample to updates a label on dataset public class LabelDataset {    public static void main(String[] args) {     // TODO(developer): Replace these variables before running the sample.     String datasetName = "MY_DATASET_NAME";     labelDataset(datasetName);   }    public static void labelDataset(String datasetName) {     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();        // This example dataset starts with existing label { color: 'green' }       Dataset dataset = bigquery.getDataset(datasetName);       // Add label to dataset       Map<String, String> labels = new HashMap<>();       labels.put("color", "green");        dataset.toBuilder().setLabels(labels).build().update();       System.out.println("Label added successfully");     } catch (BigQueryException e) {       System.out.println("Label was not added. \n" + e.toString());     }   } }

// Import the Google Cloud client library const {BigQuery} = require('@google-cloud/bigquery'); const bigquery = new BigQuery();  async function labelDataset() {   // Updates a label on a dataset.    /**    * TODO(developer): Uncomment the following lines before running the sample    */   // const datasetId = "my_dataset";    // Retrieve current dataset metadata.   const dataset = bigquery.dataset(datasetId);   const [metadata] = await dataset.getMetadata();    // Add label to dataset metadata   metadata.labels = {color: 'green'};   const [apiResponse] = await dataset.setMetadata(metadata);    console.log(`${datasetId} labels:`);   console.log(apiResponse.labels); }

 from google.cloud import bigquery  # Construct a BigQuery client object. client = bigquery.Client()  # TODO(developer): Set dataset_id to the ID of the dataset to fetch. # dataset_id = "your-project.your_dataset"  dataset = client.get_dataset(dataset_id)  # Make an API request. dataset.labels = {"color": "green"} dataset = client.update_dataset(dataset, ["labels"])  # Make an API request.  print("Labels added to {}".format(dataset_id))

import ( 	"context" 	"fmt"  	"cloud.google.com/go/bigquery" )  // addTableLabel demonstrates adding Label metadata to a BigQuery table. func addTableLabel(projectID, datasetID, tableID string) error { 	// projectID := "my-project-id" 	// datasetID := "mydataset" 	// tableID := "mytable" 	ctx := context.Background() 	client, err := bigquery.NewClient(ctx, projectID) 	if err != nil { 		return fmt.Errorf("bigquery.NewClient: %v", err) 	} 	defer client.Close()  	tbl := client.Dataset(datasetID).Table(tableID) 	meta, err := tbl.Metadata(ctx) 	if err != nil { 		return err 	}  	update := bigquery.TableMetadataToUpdate{} 	update.SetLabel("color", "green") 	if _, err := tbl.Update(ctx, update, meta.ETag); err != nil { 		return err 	} 	return nil } 

import com.google.cloud.bigquery.BigQuery; import com.google.cloud.bigquery.BigQueryException; import com.google.cloud.bigquery.BigQueryOptions; import com.google.cloud.bigquery.Table; import com.google.cloud.bigquery.TableId; import java.util.HashMap; import java.util.Map;  // Sample to adds a label to an existing table public class LabelTable {    public static void main(String[] args) {     // TODO(developer): Replace these variables before running the sample.     String datasetName = "MY_DATASET_NAME";     String tableName = "MY_TABLE_NAME";     labelTable(datasetName, tableName);   }    public static void labelTable(String datasetName, String tableName) {     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();        // This example table starts with existing label { color: 'green' }       Table table = bigquery.getTable(TableId.of(datasetName, tableName));       // Add label to table       Map<String, String> labels = new HashMap<>();       labels.put("color", "green");        table.toBuilder().setLabels(labels).build().update();       System.out.println("Label added successfully");     } catch (BigQueryException e) {       System.out.println("Label was not added. \n" + e.toString());     }   } }

// Import the Google Cloud client library const {BigQuery} = require('@google-cloud/bigquery'); const bigquery = new BigQuery();  async function labelTable() {   // Adds a label to an existing table.    /**    * TODO(developer): Uncomment the following lines before running the sample.    */   // const datasetId = 'my_dataset';   // const tableId = 'my_table';    const dataset = bigquery.dataset(datasetId);   const [table] = await dataset.table(tableId).get();    // Retrieve current table metadata   const [metadata] = await table.getMetadata();    // Add label to table metadata   metadata.labels = {color: 'green'};   const [apiResponse] = await table.setMetadata(metadata);    console.log(`${tableId} labels:`);   console.log(apiResponse.labels); }

from google.cloud import bigquery  client = bigquery.Client()  # TODO(dev): Change table_id to the full name of the table you want to create. table_id = "your-project.your_dataset.your_table_name"  table = client.get_table(table_id)  # API request  labels = {"color": "green"} table.labels = labels  table = client.update_table(table, ["labels"])  # API request  print(f"Added {table.labels} to {table_id}.")

from google.cloud import bigquery  client = bigquery.Client()  sql = """     SELECT corpus     FROM `bigquery-public-data.samples.shakespeare`     GROUP BY corpus; """ labels = {"color": "green"}  config = bigquery.QueryJobConfig() config.labels = labels location = "us" job = client.query(sql, location=location, job_config=config) job_id = job.job_id  print(f"Added {job.labels} to {job_id}.")