Create a view within a dataset.

## Explore further


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

- [Create logical views](https://docs.cloud.google.com/bigquery/docs/views)

## Code sample

### Go


Before trying this sample, follow the Go setup instructions in the
[BigQuery quickstart using
client libraries](https://docs.cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries).


For more information, see the
[BigQuery Go API
reference documentation](https://godoc.org/cloud.google.com/go/bigquery).


To authenticate to BigQuery, set up Application Default Credentials.
For more information, see

[Set up authentication for client libraries](https://docs.cloud.google.com/bigquery/docs/authentication#client-libs).

    import (
    	"context"
    	"fmt"

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

    // createView demonstrates creation of a BigQuery logical view.
    func createView(projectID, datasetID, tableID string) error {
    	// projectID := "my-project-id"
    	// datasetID := "mydatasetid"
    	// tableID := "mytableid"
    	ctx := context.Background()

    	client, err := bigquery.NewClient(ctx, projectID)
    	if err != nil {
    		return fmt.Errorf("bigquery.NewClient: %w", err)
    	}
    	defer client.Close()

    	meta := &bigquery.https://docs.cloud.google.com/go/docs/reference/cloud.google.com/go/bigquery/latest/index.html#cloud_google_com_go_bigquery_TableMetadata{
    		// This example shows how to create a view of the shakespeare sample dataset, which
    		// provides word frequency information.  This view restricts the results to only contain
    		// results for works that contain the "king" in the title, e.g. King Lear, King Henry V, etc.
    		ViewQuery: "SELECT word, word_count, corpus, corpus_date FROM `bigquery-public-data.samples.shakespeare` WHERE corpus LIKE '%king%'",
    	}
    	if err := client.Dataset(datasetID).Table(tableID).Create(ctx, meta); err != nil {
    		return err
    	}
    	return nil
    }

### Java


Before trying this sample, follow the Java setup instructions in the
[BigQuery quickstart using
client libraries](https://docs.cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries).


For more information, see the
[BigQuery Java API
reference documentation](https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/overview).


To authenticate to BigQuery, set up Application Default Credentials.
For more information, see

[Set up authentication for client libraries](https://docs.cloud.google.com/bigquery/docs/authentication#client-libs).

    import com.google.cloud.bigquery.https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.BigQuery.html;
    import com.google.cloud.bigquery.https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.BigQueryException.html;
    import com.google.cloud.bigquery.https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.BigQueryOptions.html;
    import com.google.cloud.bigquery.https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.TableId.html;
    import com.google.cloud.bigquery.https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.TableInfo.html;
    import com.google.cloud.bigquery.https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.ViewDefinition.html;

    // Sample to create a view
    public class CreateView {

      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 query =
            String.format(
                "SELECT TimestampField, StringField, BooleanField FROM %s.%s", datasetName, tableName);
        createView(datasetName, viewName, query);
      }

      public static void createView(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.
          https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.BigQuery.html bigquery = https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.BigQueryOptions.html.getDefaultInstance().getService();

          https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.TableId.html tableId = https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.TableId.html.of(datasetName, viewName);

          https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.ViewDefinition.html viewDefinition =
              https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.ViewDefinition.html.newBuilder(query).setUseLegacySql(false).build();

          bigquery.https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.BigQuery.html#com_google_cloud_bigquery_BigQuery_create_com_google_cloud_bigquery_DatasetInfo_com_google_cloud_bigquery_BigQuery_DatasetOption____(TableInfo.of(tableId, viewDefinition));
          System.out.println("View created successfully");
        } catch (https://docs.cloud.google.com/java/docs/reference/google-cloud-bigquery/latest/com.google.cloud.bigquery.BigQueryException.html e) {
          System.out.println("View was not created. \n" + e.toString());
        }
      }
    }

### Python


Before trying this sample, follow the Python setup instructions in the
[BigQuery quickstart using
client libraries](https://docs.cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries).


For more information, see the
[BigQuery Python API
reference documentation](https://docs.cloud.google.com/python/docs/reference/bigquery/latest).


To authenticate to BigQuery, set up Application Default Credentials.
For more information, see

[Set up authentication for client libraries](https://docs.cloud.google.com/bigquery/docs/authentication#client-libs).

    from google.cloud import https://docs.cloud.google.com/python/docs/reference/bigquery/latest

    client = https://docs.cloud.google.com/python/docs/reference/bigquery/latest.https://docs.cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client.html()

    view_id = "my-project.my_dataset.my_view"
    source_id = "my-project.my_dataset.my_table"
    view = https://docs.cloud.google.com/python/docs/reference/bigquery/latest.https://docs.cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.table.Table.html(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 'W'.
    https://docs.cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.dataset.AccessEntry.html#google_cloud_bigquery_dataset_AccessEntry_view.https://docs.cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.table.Table.html#google_cloud_bigquery_table_Table_view_query = f"SELECT name, post_abbr FROM `{source_id}` WHERE name LIKE 'W%'"

    # Make an API request to create the view.
    view = client.https://docs.cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client.html#google_cloud_bigquery_client_Client_create_table(view)
    print(f"Created {https://docs.cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.dataset.AccessEntry.html#google_cloud_bigquery_dataset_AccessEntry_view.table_type}: {str(https://docs.cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.dataset.AccessEntry.html#google_cloud_bigquery_dataset_AccessEntry_view.reference)}")

### Terraform


To learn how to apply or remove a Terraform configuration, see
[Basic Terraform commands](https://docs.cloud.google.com/docs/terraform/basic-commands).


For more information, see the
[Terraform provider reference documentation](https://registry.terraform.io/providers/hashicorp/google/latest/docs).

    resource "google_bigquery_dataset" "default" {
      dataset_id                      = "mydataset"
      default_partition_expiration_ms = 2592000000  # 30 days
      default_table_expiration_ms     = 31536000000 # 365 days
      description                     = "dataset description"
      location                        = "US"
      max_time_travel_hours           = 96 # 4 days

      labels = {
        billing_group = "accounting",
        pii           = "sensitive"
      }
    }

    resource "google_bigquery_table" "default" {
      dataset_id = google_bigquery_dataset.default.dataset_id
      table_id   = "myview"

      view {
        query          = "SELECT global_id, faa_identifier, name, latitude, longitude FROM `bigquery-public-data.faa.us_airports`"
        use_legacy_sql = false
      }

    }

## What's next


To search and filter code samples for other Google Cloud products, see the
[Google Cloud sample browser](https://docs.cloud.google.com/docs/samples?product=bigquery).