Update a view query

Update a view's query.

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For detailed documentation that includes this code sample, see the following:

Code sample

Go

Before trying this sample, follow the Go setup instructions in the BigQuery quickstart using client libraries. For more information, see the BigQuery Go API reference documentation.

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries.

import (
	"context"
	"fmt"

	"cloud.google.com/go/bigquery"
)

// updateView demonstrates updating the query metadata that defines a logical view.
func updateView(projectID, datasetID, viewID string) error {
	// projectID := "my-project-id"
	// datasetID := "mydataset"
	// viewID := "myview"
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, projectID)
	if err != nil {
		return fmt.Errorf("bigquery.NewClient: %w", err)
	}
	defer client.Close()

	view := client.Dataset(datasetID).Table(viewID)
	meta, err := view.Metadata(ctx)
	if err != nil {
		return err
	}

	newMeta := bigquery.TableMetadataToUpdate{
		// This example updates a view into the shakespeare dataset to exclude works named after kings.
		ViewQuery: "SELECT word, word_count, corpus, corpus_date FROM `bigquery-public-data.samples.shakespeare` WHERE corpus NOT LIKE '%king%'",
	}

	if _, err := view.Update(ctx, newMeta, meta.ETag); err != nil {
		return err
	}
	return nil
}

Java

Before trying this sample, follow the Java setup instructions in the BigQuery quickstart using client libraries. For more information, see the BigQuery Java API reference documentation.

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries.

import com.google.cloud.bigquery.BigQuery;
import com.google.cloud.bigquery.BigQueryException;
import com.google.cloud.bigquery.BigQueryOptions;
import com.google.cloud.bigquery.TableId;
import com.google.cloud.bigquery.TableInfo;
import com.google.cloud.bigquery.ViewDefinition;

// Sample to update query on a view
public class UpdateViewQuery {

  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";
    String viewName = "MY_VIEW_NAME";
    String updateQuery =
        String.format("SELECT TimestampField, StringField FROM %s.%s", datasetName, tableName);
    updateViewQuery(datasetName, viewName, updateQuery);
  }

  public static void updateViewQuery(String datasetName, String viewName, String query) {
    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();

      // Retrieve existing view metadata
      TableInfo viewMetadata = bigquery.getTable(TableId.of(datasetName, viewName));

      // Update view query
      ViewDefinition viewDefinition = viewMetadata.getDefinition();
      ViewDefinition updatedViewDefinition = viewDefinition.toBuilder().setQuery(query).build();

      // Set metadata
      bigquery.update(viewMetadata.toBuilder().setDefinition(updatedViewDefinition).build());

      System.out.println("View query updated successfully");
    } catch (BigQueryException e) {
      System.out.println("View query was not updated. \n" + e.toString());
    }
  }
}

Node.js

Before trying this sample, follow the Node.js setup instructions in the BigQuery quickstart using client libraries. For more information, see the BigQuery Node.js API reference documentation.

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries.

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

async function updateViewQuery() {
  // Updates a view named "my_existing_view" in "my_dataset".

  /**
   * TODO(developer): Uncomment the following lines before running the sample.
   */
  // const datasetId = "my_existing_dataset"
  // const tableId = "my_existing_table"
  const dataset = await bigquery.dataset(datasetId);

  // This example updates a view into the USA names dataset to include state.
  const newViewQuery = `SELECT name, state 
  FROM \`bigquery-public-data.usa_names.usa_1910_current\`
  LIMIT 10`;

  // Retrieve existing view
  const [view] = await dataset.table(tableId).get();

  // Retrieve existing view metadata
  const [metadata] = await view.getMetadata();

  // Update view query
  metadata.view = newViewQuery;

  // Set metadata
  await view.setMetadata(metadata);

  console.log(`View ${tableId} updated.`);
}

Python

Before trying this sample, follow the Python setup instructions in the BigQuery quickstart using client libraries. For more information, see the BigQuery Python API reference documentation.

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries.

from google.cloud import bigquery

client = bigquery.Client()

view_id = "my-project.my_dataset.my_view"
source_id = "my-project.my_dataset.my_table"
view = bigquery.Table(view_id)

# The source table in this example is created from a CSV file in Google
# Cloud Storage located at
# `gs://cloud-samples-data/bigquery/us-states/us-states.csv`. It contains
# 50 US states, while the view returns only those states with names
# starting with the letter 'M'.
view.view_query = f"SELECT name, post_abbr FROM `{source_id}` WHERE name LIKE 'M%'"

# Make an API request to update the query property of the view.
view = client.update_table(view, ["view_query"])
print(f"Updated {view.table_type}: {str(view.reference)}")

What's next

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