Dataplex V1 API - Class Google::Cloud::Dataplex::V1::DataDiscoverySpec::BigQueryPublishingConfig (v2.2.0)

Reference documentation and code samples for the Dataplex V1 API class Google::Cloud::Dataplex::V1::DataDiscoverySpec::BigQueryPublishingConfig.

Describes BigQuery publishing configurations.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#connection

def connection() -> ::String
Returns
  • (::String) — Optional. The BigQuery connection used to create BigLake tables. Must be in the form projects/{project_id}/locations/{location_id}/connections/{connection_id}

#connection=

def connection=(value) -> ::String
Parameter
  • value (::String) — Optional. The BigQuery connection used to create BigLake tables. Must be in the form projects/{project_id}/locations/{location_id}/connections/{connection_id}
Returns
  • (::String) — Optional. The BigQuery connection used to create BigLake tables. Must be in the form projects/{project_id}/locations/{location_id}/connections/{connection_id}

#location

def location() -> ::String
Returns
  • (::String) — Optional. The location of the BigQuery dataset to publish BigLake external or non-BigLake external tables to.

    1. If the Cloud Storage bucket is located in a multi-region bucket, then BigQuery dataset can be in the same multi-region bucket or any single region that is included in the same multi-region bucket. The datascan can be created in any single region that is included in the same multi-region bucket
    2. If the Cloud Storage bucket is located in a dual-region bucket, then BigQuery dataset can be located in regions that are included in the dual-region bucket, or in a multi-region that includes the dual-region. The datascan can be created in any single region that is included in the same dual-region bucket.
    3. If the Cloud Storage bucket is located in a single region, then BigQuery dataset can be in the same single region or any multi-region bucket that includes the same single region. The datascan will be created in the same single region as the bucket.
    4. If the BigQuery dataset is in single region, it must be in the same single region as the datascan.

    For supported values, refer to https://cloud.google.com/bigquery/docs/locations#supported_locations.

#location=

def location=(value) -> ::String
Parameter
  • value (::String) — Optional. The location of the BigQuery dataset to publish BigLake external or non-BigLake external tables to.

    1. If the Cloud Storage bucket is located in a multi-region bucket, then BigQuery dataset can be in the same multi-region bucket or any single region that is included in the same multi-region bucket. The datascan can be created in any single region that is included in the same multi-region bucket
    2. If the Cloud Storage bucket is located in a dual-region bucket, then BigQuery dataset can be located in regions that are included in the dual-region bucket, or in a multi-region that includes the dual-region. The datascan can be created in any single region that is included in the same dual-region bucket.
    3. If the Cloud Storage bucket is located in a single region, then BigQuery dataset can be in the same single region or any multi-region bucket that includes the same single region. The datascan will be created in the same single region as the bucket.
    4. If the BigQuery dataset is in single region, it must be in the same single region as the datascan.

    For supported values, refer to https://cloud.google.com/bigquery/docs/locations#supported_locations.

Returns
  • (::String) — Optional. The location of the BigQuery dataset to publish BigLake external or non-BigLake external tables to.

    1. If the Cloud Storage bucket is located in a multi-region bucket, then BigQuery dataset can be in the same multi-region bucket or any single region that is included in the same multi-region bucket. The datascan can be created in any single region that is included in the same multi-region bucket
    2. If the Cloud Storage bucket is located in a dual-region bucket, then BigQuery dataset can be located in regions that are included in the dual-region bucket, or in a multi-region that includes the dual-region. The datascan can be created in any single region that is included in the same dual-region bucket.
    3. If the Cloud Storage bucket is located in a single region, then BigQuery dataset can be in the same single region or any multi-region bucket that includes the same single region. The datascan will be created in the same single region as the bucket.
    4. If the BigQuery dataset is in single region, it must be in the same single region as the datascan.

    For supported values, refer to https://cloud.google.com/bigquery/docs/locations#supported_locations.

#table_type

def table_type() -> ::Google::Cloud::Dataplex::V1::DataDiscoverySpec::BigQueryPublishingConfig::TableType
Returns

#table_type=

def table_type=(value) -> ::Google::Cloud::Dataplex::V1::DataDiscoverySpec::BigQueryPublishingConfig::TableType
Parameter
Returns