Manage configuration settings

BigQuery administrators and project owners can manage configuration settings at the organization and project levels. You can set configurations to enforce security, control costs, and optimize query performance across your entire data infrastructure. By setting default values, you can ensure consistent compliance and operational efficiency, making it easier to manage your BigQuery environment.

The following sections describe how to specify default configuration settings. Default settings are configured at an organization or project level but can be overridden at the session or job level.

Required roles

To get the permission that you need to specify a configuration setting, ask your administrator to grant you the BigQuery Admin (roles/bigquery.admin) IAM role . For more information about granting roles, see Manage access to projects, folders, and organizations.

This predefined role contains the bigquery.config.update permission, which is required to specify a configuration setting.

You might also be able to get this permission with custom roles or other predefined roles.

For more information on IAM roles and permissions in BigQuery, see Predefined roles and permissions.

Specify global settings

You can specify global settings at the organization or project level.

Limitations

Global configuration settings are subject to the following limitations:

  • Global organization and project settings are not available in BigQuery Omni locations.
  • When you modify the default_location global setting, it can take up to 10 minutes to propagate. Until the setting is propagated, it is possible for eligible queries to be routed to the previous default location.

Configure global organization settings

If you don't explicitly specify a location, the location is determined in one of the following ways:

  • The location of the datasets referenced in the request. For example, if a query references a table or view in a dataset stored in the asia-northeast1 region, the query job runs in asia-northeast1.
  • The region specified for a connection referenced in a request.
  • The location of a destination table.

If the location isn't explicitly specified, and it can't be determined from the resources in the request, the default location is used. If default location isn't set, the job runs in the US multi-region.

You can configure global settings at the organization level by using the ALTER ORGANIZATION SET OPTIONS DDL statement. The default location is the only global organization setting. The default location is used to run jobs when the location can't be inferred from the request.

When you configure the default location, you don't specify a region where the setting applies. You can't mix global and regional settings in the same DDL statement.

To configure the default_location at the organization level, follow these steps:

Console

  1. Go to the BigQuery page in the Google Cloud console.

    Go to BigQuery

  2. Click the query editor. This tab is labeled search_insights Untitled query.

  3. To configure the default_location, enter the following DDL statement into the Query editor:

      ALTER ORGANIZATION
      SET OPTIONS (
      `default_location` = 'LOCATION'
      );

    Replace LOCATION with a region or multi-region location. This value is the location used to run jobs when it can't be inferred from the request. For example, the default location is used if the location of the datasets in a query can't be determined.

  4. Alternatively, to clear the default_location organization-level global settings, enter the following DDL statement into the Query editor:

      ALTER ORGANIZATION
      SET OPTIONS (
      `default_location` = NULL
      );
  5. Click Run.

bq

  1. To configure the default_location at the organization level, enter the bq query command and supply the following DDL statement as the query parameter. Set the use_legacy_sql flag to false.

      ALTER ORGANIZATION
      SET OPTIONS (
      `default_location` = 'LOCATION'
      );

    Replace LOCATION with a region or multi-region location. This value is the location used to run jobs when it can't be inferred from the request. For example, the default location is used if the location of the datasets in a query can't be determined.

  2. To clear the default_location at the organization level, enter the bq query command and supply the following DDL statement as the query parameter. Set the use_legacy_sql flag to false.

      ALTER ORGANIZATION
      SET OPTIONS (
      `default_location` = NULL
      );

API

Call the jobs.query method and supply the DDL statement in the request body's query property.

DDL functionality extends the information returned by a Jobs resource. statistics.query.statementType includes the following additional values:

  • CREATE_TABLE
  • CREATE_TABLE_AS_SELECT
  • DROP_TABLE
  • CREATE_VIEW
  • DROP_VIEW

statistics.query has 2 additional fields:

  • ddlOperationPerformed: The DDL operation performed, possibly dependent on the existence of the DDL target. Current values include:
    • CREATE: The query created the DDL target.
    • SKIP: No-op. Examples — CREATE TABLE IF NOT EXISTS was submitted, and the table exists. Or DROP TABLE IF EXISTS was submitted, and the table does not exist.
    • REPLACE: The query replaced the DDL target. Example — CREATE OR REPLACE TABLE was submitted, and the table already exists.
    • DROP: The query deleted the DDL target.
  • ddlTargetTable: When you submit a CREATE TABLE/VIEW statement or a DROP TABLE/VIEW statement, the target table is returned as an object with 3 fields:
    • "projectId": string
    • "datasetId": string
    • "tableId": string

Configure global project settings

If you don't explicitly specify a location, the location is determined in one of the following ways:

  • The location of the datasets referenced in the request. For example, if a query references a table or view in a dataset stored in the asia-northeast1 region, the query job runs in asia-northeast1.
  • The region specified for a connection referenced in a request.
  • The location of a destination table.

If the location isn't explicitly specified, and it can't be determined from the resources in the request, the default location is used. If default location isn't set, the job runs in the US multi-region.

You can configure global settings at the project level by using by using the ALTER PROJECT SET OPTIONS DDL statement. The ALTER PROJECT SET OPTIONS DDL statement optionally accepts the PROJECT_ID variable. If the PROJECT_ID is not specified, it defaults to the current project where you run the ALTER PROJECT DDL statement.

The default location is the only global project setting. When you configure the default location, you don't specify a region where the setting applies. You can't mix global and regional settings in the same DDL statement.

Project-level configurations override organization-level configurations. Project-level configurations can in turn be overridden by session-level configurations, which can be overridden by job-level configurations.

To configure the default_location at the project level, follow these steps:

Console

  1. Go to the BigQuery page in the Google Cloud console.

    Go to BigQuery

  2. Click the query editor. This tab is labeled search_insights Untitled query.

  3. To configure the default_location, enter the following DDL statement into the Query editor:

      ALTER PROJECT PROJECT_ID
      SET OPTIONS (
      `default_location` = 'LOCATION'
      );

    Replace the following:

    • PROJECT_ID: the project ID.

    • LOCATION: a region or multi-region location. This value is the location used to run jobs when it can't be inferred from the request. For example, the default location is used if the location of the datasets in a query can't be determined.

  4. Alternatively, to clear the default_location setting, enter the following DDL statement into the Query editor. If you clear the default_location at the project level, organization-level default settings are used, if they exist. Otherwise, the system default setting is used.

      ALTER PROJECT PROJECT_ID
      SET OPTIONS (
      `default_location` = NULL
      );
  5. Click Run.

bq

  1. To configure the default_location at the project level, enter the bq query command and supply the following DDL statement as the query parameter. Set the use_legacy_sql flag to false.

      ALTER PROJECT PROJECT_ID
      SET OPTIONS (
      `default_location` = 'LOCATION'
      );

    Replace the following:

    • PROJECT_ID: the project ID.
    • LOCATION: a region or multi-region location. This value is the location used to run jobs when it can't be inferred from the request. For example, the default location is used if the location of the datasets in a query can't be determined.
  2. Alternatively, to clear the default_location at the project level, enter the bq query command and supply the following DDL statement as the query parameter. Set the use_legacy_sql flag to false. If you clear the default_location at the project level, organization-level default settings are used, if they exist. Otherwise, the system default setting is used.

      ALTER PROJECT PROJECT_ID
      SET OPTIONS (
      `default_location` = NULL
      );

API

Call the jobs.query method and supply the DDL statement in the request body's query property.

DDL functionality extends the information returned by a Jobs resource. statistics.query.statementType includes the following additional values:

  • CREATE_TABLE
  • CREATE_TABLE_AS_SELECT
  • DROP_TABLE
  • CREATE_VIEW
  • DROP_VIEW

statistics.query has 2 additional fields:

  • ddlOperationPerformed: The DDL operation performed, possibly dependent on the existence of the DDL target. Current values include:
    • CREATE: The query created the DDL target.
    • SKIP: No-op. Examples — CREATE TABLE IF NOT EXISTS was submitted, and the table exists. Or DROP TABLE IF EXISTS was submitted, and the table does not exist.
    • REPLACE: The query replaced the DDL target. Example — CREATE OR REPLACE TABLE was submitted, and the table already exists.
    • DROP: The query deleted the DDL target.
  • ddlTargetTable: When you submit a CREATE TABLE/VIEW statement or a DROP TABLE/VIEW statement, the target table is returned as an object with 3 fields:
    • "projectId": string
    • "datasetId": string
    • "tableId": string

Specify regional settings

You can configure regional settings at the organization or project level.

Configure regional organization settings

You can configure regional settings at the organization level by using the ALTER ORGANIZATION SET OPTIONS DDL statement. You must specify the region where each organization setting applies. You can only use one region in a statement.

To configure regional organization settings, follow these steps. The following example specifies several default regional configurations, including the following:

  • Time zone: America/Chicago
  • Cloud KMS key: a user-defined key
  • Query timeout: 30 minutes (1,800,000 milliseconds)
  • Interactive query queue timeout: 10 minutes (600,000 milliseconds)
  • Batch query queue timeout: 20 minutes (1,200,000 milliseconds)

To see all regional organization settings, go to organization_set_options_list.

Console

  1. Go to the BigQuery page in the Google Cloud console.

    Go to BigQuery

  2. Click the query editor. This tab is labeled search_insights Untitled query.

  3. To configure the regional organization settings, enter the following DDL statement into the Query editor:

      ALTER ORGANIZATION
      SET OPTIONS (
      `region-REGION.default_time_zone`= 'America/Chicago',
      -- Ensure all service accounts under the organization have permission to KMS_KEY
      `region-REGION.default_kms_key_name` = KMS_KEY,
      `region-REGION.default_query_job_timeout_ms` = 1800000,
      `region-REGION.default_interactive_query_queue_timeout_ms` = 600000,
      `region-REGION.default_batch_query_queue_timeout_ms` = 1200000);

    Replace the following:

    • REGION: the region associated with your project or organization—for example, us or europe-west6. The value for REGION must be the same for each option in the command.
    • KMS_KEY: a user-defined Cloud KMS key. For more information, see Customer-managed Cloud KMS keys.
  4. Alternatively, to clear the regional organization settings, enter the following DDL statement into the Query editor:

      ALTER ORGANIZATION
      SET OPTIONS (
      `region-REGION.default_time_zone` = NULL,
      `region-REGION.default_kms_key_name` = NULL,
      `region-REGION.default_query_job_timeout_ms` = NULL,
      `region-REGION.default_interactive_query_queue_timeout_ms` = NULL,
      `region-REGION.default_batch_query_queue_timeout_ms` = NULL);
  5. Click Run.

bq

To configure the regional organization settings, enter the bq query command and supply the following DDL statement as the query parameter. Set the use_legacy_sql flag to false.

  ALTER ORGANIZATION
  SET OPTIONS (
  `region-REGION.default_time_zone`= 'America/Chicago',
  -- Ensure all service accounts under the organization have permission to KMS_KEY
  `region-REGION.default_kms_key_name` = KMS_KEY,
  `region-REGION.default_query_job_timeout_ms` = 1800000,
  `region-REGION.default_interactive_query_queue_timeout_ms` = 600000,
  `region-REGION.default_batch_query_queue_timeout_ms` = 1200000);

Replace the following:

  • REGION: the region associated with your project or organization—for example, us or europe-west6. The value for REGION must be the same for each option in the command.
  • KMS_KEY: a user-defined Cloud KMS key. For more information, see Customer-managed Cloud KMS keys.

Alternatively, to clear the regional organization settings, enter the bq query command and supply the following DDL statement as the query parameter. Set the use_legacy_sql flag to false:

ALTER ORGANIZATION
SET OPTIONS (
  `region-REGION.default_time_zone` = NULL,
  `region-REGION.default_kms_key_name` = NULL,
  `region-REGION.default_query_job_timeout_ms` = NULL,
  `region-REGION.default_interactive_query_queue_timeout_ms` = NULL,
  `region-REGION.default_batch_query_queue_timeout_ms` = NULL,
  `region-REGION.default_storage_billing_model`= NULL,
  `region-REGION.default_max_time_travel_hours` = NULL,
  `region-REGION.default_cloud_resource_connection_id` = NULL,
  `region-REGION.default_sql_dialect_option` = NULL,
  `region-REGION.enable_reservation_based_fairness` = NULL,
  `region-REGION.enable_global_queries_execution` = NULL,
  `region-REGION.enable_global_queries_data_access` = NULL);

API

Call the jobs.query method and supply the DDL statement in the request body's query property.

DDL functionality extends the information returned by a Jobs resource. statistics.query.statementType includes the following additional values:

  • CREATE_TABLE
  • CREATE_TABLE_AS_SELECT
  • DROP_TABLE
  • CREATE_VIEW
  • DROP_VIEW

statistics.query has 2 additional fields:

  • ddlOperationPerformed: The DDL operation performed, possibly dependent on the existence of the DDL target. Current values include:
    • CREATE: The query created the DDL target.
    • SKIP: No-op. Examples — CREATE TABLE IF NOT EXISTS was submitted, and the table exists. Or DROP TABLE IF EXISTS was submitted, and the table does not exist.
    • REPLACE: The query replaced the DDL target. Example — CREATE OR REPLACE TABLE was submitted, and the table already exists.
    • DROP: The query deleted the DDL target.
  • ddlTargetTable: When you submit a CREATE TABLE/VIEW statement or a DROP TABLE/VIEW statement, the target table is returned as an object with 3 fields:
    • "projectId": string
    • "datasetId": string
    • "tableId": string

Configure regional project settings

You can configure regional settings at the project level by using the ALTER PROJECT SET OPTIONS DDL statement. When you specify the configuration, you must specify the region where it applies. You can only use one region in each statement.

Project-level configurations override organization-level configurations. Project-level configurations can in turn be overridden by session-level configurations, which can be overridden by job-level configurations.

The ALTER PROJECT SET OPTIONS DDL statement optionally accepts the PROJECT_ID variable. If the PROJECT_ID variable is not specified, it defaults to the current project where you run the ALTER PROJECT DDL statement.

The following example specifies several regional, project-level settings, including the following:

  • Time zone: America/Los_Angeles
  • Cloud KMS key: an example key
  • Query timeout: 1 hour (1,800,000 milliseconds)
  • Interactive query queue timeout: 10 minutes (600,000 milliseconds)
  • Batch query queue timeout: 20 minutes (1,200,000 milliseconds)
  • Reservation-based fairness: enabled
  • Global queries: enabled for running and for accessing data

To see all regional project settings, go to project_set_options_list.

Console

  1. Go to the BigQuery page in the Google Cloud console.

    Go to BigQuery

  2. Click the query editor. This tab is labeled search_insights Untitled query.

  3. To configure the regional project settings, enter the following DDL statement into the Query editor:

     ALTER PROJECT PROJECT_ID
     SET OPTIONS (
     `region-REGION.default_time_zone` = 'America/Los_Angeles',
     -- Ensure all service accounts under the project have permission to KMS_KEY
     `region-REGION.default_kms_key_name` = KMS_KEY,
     `region-REGION.default_query_job_timeout_ms` = 3600000,
     `region-REGION.default_interactive_query_queue_timeout_ms` = 600000,
     `region-REGION.default_batch_query_queue_timeout_ms` = 1200000,
     `region-REGION.enable_reservation_based_fairness` = true,
    `region-REGION.enable_global_queries_execution` = true,
    `region-REGION.enable_global_queries_data_access` = true);

    Replace the following:

    • PROJECT_ID: the project ID.
    • REGION: the region associated with your project or organization—for example, us or europe-west6. The value for REGION must be the same for each option in the command.
    • KMS_KEY: a user-defined Cloud KMS key. For more information, see Customer-managed Cloud KMS keys.
  4. Alternatively, to clear the regional project settings, enter the following DDL statement into the Query editor:

      ALTER PROJECT PROJECT_ID
      SET OPTIONS (
      `region-REGION.default_time_zone` = NULL,
      `region-REGION.default_kms_key_name` = NULL,
      `region-REGION.default_query_job_timeout_ms` = NULL,
      `region-REGION.default_interactive_query_queue_timeout_ms` = NULL,
      `region-REGION.default_batch_query_queue_timeout_ms` = NULL,
      `region-REGION.enable_reservation_based_fairness` = false);
  5. Click Run.

bq

  1. To configure the regional project settings, enter the bq query command and supply the following DDL statement as the query parameter. Set the use_legacy_sql flag to false.

      ALTER PROJECT PROJECT_ID
      SET OPTIONS (
      `region-REGION.default_time_zone`= 'America/Chicago',
      -- Ensure all service accounts under the organization have permission to KMS_KEY
      `region-REGION.default_kms_key_name` = KMS_KEY,
      `region-REGION.default_query_job_timeout_ms` = 1800000,
      `region-REGION.default_interactive_query_queue_timeout_ms` = 600000,
      `region-REGION.default_batch_query_queue_timeout_ms` = 1200000,
      `region-REGION.enable_reservation_based_fairness` = true);

    Replace the following:

    • PROJECT_ID: the project ID.
    • REGION: the region associated with your project or organization—for example, us or europe-west6. The value for REGION must be the same for each option in the command.
    • KMS_KEY: a user-defined Cloud KMS key. For more information, see Customer-managed Cloud KMS keys.
  2. Alternatively, to clear the regional project settings, enter the bq query command and supply the following DDL statement as the query parameter. Set the use_legacy_sql flag to false:

      ALTER ORGANIZATION
      SET OPTIONS (
      `region-REGION.default_time_zone` = NULL,
      `region-REGION.default_kms_key_name` = NULL,
      `region-REGION.default_query_job_timeout_ms` = NULL,
      `region-REGION.default_interactive_query_queue_timeout_ms` = NULL,
      `region-REGION.default_batch_query_queue_timeout_ms` = NULL,
      `region-REGION.enable_reservation_based_fairness` = false,
    `region-REGION.enable_global_queries_execution` = NULL,
    `region-REGION.enable_global_queries_data_access` = NULL);

API

Call the jobs.query method and supply the DDL statement in the request body's query property.

DDL functionality extends the information returned by a Jobs resource. statistics.query.statementType includes the following additional values:

  • CREATE_TABLE
  • CREATE_TABLE_AS_SELECT
  • DROP_TABLE
  • CREATE_VIEW
  • DROP_VIEW

statistics.query has 2 additional fields:

  • ddlOperationPerformed: The DDL operation performed, possibly dependent on the existence of the DDL target. Current values include:
    • CREATE: The query created the DDL target.
    • SKIP: No-op. Examples — CREATE TABLE IF NOT EXISTS was submitted, and the table exists. Or DROP TABLE IF EXISTS was submitted, and the table does not exist.
    • REPLACE: The query replaced the DDL target. Example — CREATE OR REPLACE TABLE was submitted, and the table already exists.
    • DROP: The query deleted the DDL target.
  • ddlTargetTable: When you submit a CREATE TABLE/VIEW statement or a DROP TABLE/VIEW statement, the target table is returned as an object with 3 fields:
    • "projectId": string
    • "datasetId": string
    • "tableId": string

Retrieve configuration settings

You can view the configuration settings for an organization or project by using the following INFORMATION_SCHEMA views:

It may take a few minutes for new configurations to become effective and reflected within the INFORMATION_SCHEMA view.

Required roles

To get the permission that you need to retrieve configuration settings, ask your administrator to grant you the BigQuery Job User (roles/bigquery.jobUser) IAM role on the specified project. For more information about granting roles, see Manage access to projects, folders, and organizations.

This predefined role contains the bigquery.config.get permission, which is required to retrieve configuration settings.

You might also be able to get this permission with custom roles or other predefined roles.

For more information on IAM roles and permissions in BigQuery, see Predefined roles and permissions.

Examples

Use the following query examples to retrieve your project and organization settings from the INFORMATION_SCHEMA views.

View global settings

To view all global organization settings, run the following query:

SELECT * FROM INFORMATION_SCHEMA.ORGANIZATION_OPTIONS;

To view just the default location organization setting, run the following query:

SELECT
    option_value
FROM INFORMATION_SCHEMA.ORGANIZATION_OPTIONS
WHERE option_name = 'default_location'

To view all effective global configurations for your default project, run the following query:

SELECT * FROM INFORMATION_SCHEMA.EFFECTIVE_PROJECT_OPTIONS;

To view just the default location effective global configuration for your default project, run the following query:

SELECT
    option_value
FROM INFORMATION_SCHEMA.EFFECTIVE_PROJECT_OPTIONS
WHERE option_name = 'default_location'

To view all global configurations for your default project, run the following query:

SELECT * FROM INFORMATION_SCHEMA.PROJECT_OPTIONS;

To view just the default location setting for your default project, run the following query:

SELECT
    option_value
FROM INFORMATION_SCHEMA.PROJECT_OPTIONS
WHERE option_name = 'default_location'

View regional settings

To view the configurations under an organization in the us region, run the following query:

SELECT * FROM region-us.INFORMATION_SCHEMA.ORGANIZATION_OPTIONS;

To view the effective configurations under your default project in the us region, run the following query:

SELECT * FROM region-us.INFORMATION_SCHEMA.EFFECTIVE_PROJECT_OPTIONS;

To view the configurations under your default project in the us region, run the following query:

SELECT * FROM region-us.INFORMATION_SCHEMA.PROJECT_OPTIONS;

Configuration settings

The following sections describe the configuration settings that you can specify.

Query and job execution settings

Use the following settings to control how queries are executed, timed, and queued.

  • default_batch_query_queue_timeout_ms: The default amount of time, in milliseconds, that a batch query is queued. If unset, the default is 24 hours. The minimum value is 1 millisecond. The maximum value is 48 hours. To turn off batch query queueing, set the value to -1.
  • default_interactive_query_queue_timeout_ms: The default amount of time, in milliseconds, that an interactive query is queued. If unset, the default is six hours. The minimum value is 1 millisecond. The maximum value is 48 hours. To turn off interactive query queueing, set the value to -1.
  • default_query_job_timeout_ms: The default time after which a query job times out, including the time the job is queued and the time spent running. The timeout period must be between 5 minutes and 48 hours. This timeout only applies to individual query jobs and the child jobs of scripts. To set a timeout for script jobs, you should use the jobs.insert API method and set the jobTimeoutMs field.

  • default_location: The default_location configuration setting is used to run jobs when the location isn't set or can't be determined. If default_location isn't set, the job runs in the US multi-region.

  • enable_reservation_based_fairness: The option that determines how idle slots are shared. The default value is false, which means idle slots are equally distributed across all query projects. If enabled, the idle slots are shared equally across all reservations first, and then across projects within the reservation. For more information, see reservation-based fairness. This option is only supported at the project level. You can't specify it at the organization or job level.

  • default_time_zone: The default time zone to use in time zone-dependent GoogleSQL functions, when a time zone is not specified as an argument. This configuration does not apply to time-unit column partitioned tables (which use UTC as the time zone), the Storage Transfer Service schedule transfers, or loading data with the bq command-line tool. For more information, see time zones.

  • default_query_optimizer_options: The history-based query optimizations. This option can be one of the following:

    • 'adaptive=on': Use history-based query optimizations.
    • 'adaptive=off': Don't use history-based query optimizations.
    • NULL (default): Use the default history-based query optimizations setting, which is equivalent to 'adaptive=on'.
  • default_sql_dialect_option: The default SQL query dialect for executing query jobs using the bq command-line tool or BigQuery API. Changing this setting doesn't affect the default dialect in the console. This option can be one of the following:

    • 'default_legacy_sql' (default): Use legacy SQL if the query dialect isn't specified at the job level.
    • 'default_google_sql': Use GoogleSQL if the query dialect isn't specified at the job level.
    • 'only_google_sql': Use GoogleSQL if the query dialect isn't specified at the job level. Reject jobs with query dialect set to legacy SQL.
    • NULL: Use the default query dialect setting, which is equivalent to 'default_legacy_sql'.
  • enable_global_queries_execution: The option that determines if global queries can be run. The default value is FALSE, which means that global queries are not enabled.

  • enable_global_queries_data_access: The option that determines if global queries can access data stored in the region. The default value is FALSE, which means that global queries can't copy data from this region regardless of the project in which they run.

Data management settings

Use the following settings to define rules for data creation, security, and lifecycle.

  • default_column_name_character_map: The default scope and handling of characters in column names. If unset, load jobs that use unsupported characters in column names fail with an error message. Some older tables might be set to replace unsupported characters in column names. For more information, see load_option_list.
  • default_kms_key_name: The default Cloud Key Management Service key for encrypting table data, including temporary or anonymous tables. For more information, see Customer-managed Cloud KMS keys.

  • default_max_time_travel_hours: The default time travel window in hours for new datasets. This duration must be within the range of 48 to 168, inclusive, and must be divisible by 24. Changing the default max time travel hours does not affect existing datasets. For more information, see Time Travel and data retention.

Cost and resource settings

Use the following settings to determine how resources are billed and connected.

  • default_storage_billing_model: The default storage billing model for new datasets. Set the value to PHYSICAL to use physical bytes when calculating storage charges or to LOGICAL to use logical bytes. Note that changing the default storage billing model does not affect existing datasets. For more information, see Storage billing models.
  • default_cloud_resource_connection_id: The default connection to use when creating tables and models. Only specify the connection's ID or name, and exclude the attached project ID and region prefixes. Using default connections can cause the permissions granted to the connection's service account to be updated, depending on the type of table or model you're creating. For more information, see the Default connection overview.

Pricing

There is no additional charge to use the BigQuery configuration service. For more information, see Pricing.