python-bigquery の API リファレンス

python-bigquery (googleapis/python-bigquery) の公開 API 204 件 —— クラス 98、関数 2、メソッド 104。実際のソースを静的解析して抽出した正確なシグネチャを掲載しています。

種別	件数
クラス	98
関数	2
メソッド	104

API 一覧

classgoogle.cloud.bigquery._http.Connection

A connection to Google BigQuery via the JSON REST API.

classgoogle.cloud.bigquery._job_helpers.QueryFinishedEvent

Query finished successfully.

classgoogle.cloud.bigquery._job_helpers.QuerySentEvent

Query sent to BigQuery.

funcgoogle.cloud.bigquery._job_helpers.make_job_id(job_id:Optional[str]=None, prefix:Optional[str]=None) -> str

Construct an ID for a new job.

classgoogle.cloud.bigquery._versions_helpers.PandasVersions

Version comparisons for pandas package.

methodgoogle.cloud.bigquery._versions_helpers.PandasVersions.installed_version() -> packaging.version.Version

Return the parsed version of pandas

classgoogle.cloud.bigquery._versions_helpers.PyarrowVersions

Version comparisons for pyarrow package.

classgoogle.cloud.bigquery.client.Client

Client to bundle configuration needed for API requests.

method

google.cloud.bigquery.client.Client.create_job(job_config:dict, retry:retries.Retry=DEFAULT_RETRY, timeout:TimeoutType=DEFAULT_TIMEOUT) -> Union[job.LoadJob, job.CopyJob, job.ExtractJob, job.QueryJob]

Create a new job.

methodgoogle.cloud.bigquery.client.Client.dataset(dataset_id:str, project:Optional[str]=None) -> DatasetReference

Deprecated: Construct a reference to a dataset.

methodgoogle.cloud.bigquery.client.Client.default_load_job_config()

Default ``LoadJobConfig``.

methodgoogle.cloud.bigquery.client.Client.default_query_job_config() -> Optional[QueryJobConfig]

Default ``QueryJobConfig`` or ``None``.

method

google.cloud.bigquery.client.Client.delete_dataset(dataset:Union[Dataset, DatasetReference, DatasetListItem, str], delete_contents:bool=False, retry:retries.Retry=DEFAULT_RETRY, timeout:TimeoutType=DEFAULT_TIMEOUT, not_found_ok:bool=False) -> None

Delete a dataset.

method

google.cloud.bigquery.client.Client.delete_routine(routine:Union[Routine, RoutineReference, str], retry:retries.Retry=DEFAULT_RETRY, timeout:TimeoutType=DEFAULT_TIMEOUT, not_found_ok:bool=False) -> None

[Beta] Delete a routine.

method

google.cloud.bigquery.client.Client.update_model(model:Model, fields:Sequence[str], retry:retries.Retry=DEFAULT_RETRY, timeout:TimeoutType=DEFAULT_TIMEOUT) -> Model

[Beta] Change some fields of a model.

method

google.cloud.bigquery.client.Client.update_table(table:Table, fields:Sequence[str], autodetect_schema:bool=False, retry:retries.Retry=DEFAULT_RETRY, timeout:TimeoutType=DEFAULT_TIMEOUT) -> Table

Change some fields of a table.

classgoogle.cloud.bigquery.client.Project

Wrapper for resource describing a BigQuery project.

classgoogle.cloud.bigquery.dataset.AccessEntry

Represents grant of an access role to an entity.

methodgoogle.cloud.bigquery.dataset.AccessEntry.domain() -> Optional[str]

A domain to grant access to.

methodgoogle.cloud.bigquery.dataset.AccessEntry.entity_id() -> Optional[Union[Dict[str, Any], str]]

The entity_id of the entry.

methodgoogle.cloud.bigquery.dataset.AccessEntry.entity_type() -> Optional[str]

The entity_type of the entry.

methodgoogle.cloud.bigquery.dataset.AccessEntry.role() -> Optional[str]

The role of the entry.

methodgoogle.cloud.bigquery.dataset.AccessEntry.special_group() -> Optional[str]

A special group to grant access to.

methodgoogle.cloud.bigquery.dataset.AccessEntry.user_by_email() -> Optional[str]

An email address of a user to grant access to.

methodgoogle.cloud.bigquery.dataset.Condition.expression() -> str

str: The expression string for the condition.

methodgoogle.cloud.bigquery.dataset.Condition.title() -> Optional[str]

Optional[str]: The title for the condition.

classgoogle.cloud.bigquery.dataset.Dataset

Datasets are containers for tables.

methodgoogle.cloud.bigquery.dataset.Dataset.dataset_id()

str: Dataset ID.

methodgoogle.cloud.bigquery.dataset.Dataset.etag()

Union[str, None]: Output only.

methodgoogle.cloud.bigquery.dataset.Dataset.from_string(full_dataset_id:str) -> 'Dataset'

Construct a dataset from fully-qualified dataset ID.

methodgoogle.cloud.bigquery.dataset.Dataset.full_dataset_id()

Union[str, None]: Output only.

methodgoogle.cloud.bigquery.dataset.Dataset.self_link()

Union[str, None]: Output only.

classgoogle.cloud.bigquery.dataset.DatasetListItem

A read-only dataset resource from a list operation.

methodgoogle.cloud.bigquery.dataset.DatasetListItem.dataset_id()

str: Dataset ID.

classgoogle.cloud.bigquery.dataset.DatasetReference

DatasetReferences are pointers to datasets.

methodgoogle.cloud.bigquery.dataset.DatasetReference.dataset_id()

str: Dataset ID.

classgoogle.cloud.bigquery.dbapi.connection.Connection

DB-API Connection to Google BigQuery.

methodgoogle.cloud.bigquery.dbapi.connection.Connection.cursor()

Return a new cursor object.

classgoogle.cloud.bigquery.dbapi.cursor.Cursor

DB-API Cursor to Google BigQuery.

classgoogle.cloud.bigquery.dbapi.exceptions.DatabaseError

DB-API error related to the database.

classgoogle.cloud.bigquery.dbapi.exceptions.Error

Exception representing all non-warning DB-API errors.

classgoogle.cloud.bigquery.dbapi.exceptions.InterfaceError

DB-API error related to the database interface.

classgoogle.cloud.bigquery.dbapi.exceptions.OperationalError

DB-API error related to the database operation.

classgoogle.cloud.bigquery.dbapi.exceptions.ProgrammingError

DB-API exception raised for programming errors.

classgoogle.cloud.bigquery.dbapi.exceptions.Warning

Exception raised for important DB-API warnings.

funcgoogle.cloud.bigquery.dbapi.types.Binary(data)

Contruct a DB-API binary value.

classgoogle.cloud.bigquery.enums.Compression

The compression type to use for exported files.

classgoogle.cloud.bigquery.enums.DestinationFormat

The exported file format.

classgoogle.cloud.bigquery.enums.Encoding

The character encoding of the data.

classgoogle.cloud.bigquery.enums.EntityTypes

Enum of allowed entity type names in AccessEntry

classgoogle.cloud.bigquery.enums.JobCreationMode

Documented values for Job Creation Mode.

classgoogle.cloud.bigquery.enums.QueryApiMethod

API method used to start the query.

classgoogle.cloud.bigquery.enums.QueryPriority

Specifies a priority for the query.

classgoogle.cloud.bigquery.enums.SourceFormat

The format of the data files.

classgoogle.cloud.bigquery.enums.SqlTypeNames

Enum of allowed SQL type names in schema.SchemaField.

classgoogle.cloud.bigquery.external_config.BigtableColumn

Options for a Bigtable column.

methodgoogle.cloud.bigquery.external_config.BigtableColumn.to_api_repr() -> dict

Build an API representation of this object.

classgoogle.cloud.bigquery.external_config.BigtableColumnFamily

Options for a Bigtable column family.

methodgoogle.cloud.bigquery.external_config.BigtableColumnFamily.to_api_repr() -> dict

Build an API representation of this object.

classgoogle.cloud.bigquery.external_config.ExternalCatalogTableOptions

Metadata about open source compatible table.

methodgoogle.cloud.bigquery.external_config.ExternalCatalogTableOptions.connection_id() -> Optional[str]

Optional.

methodgoogle.cloud.bigquery.external_config.ExternalCatalogTableOptions.parameters() -> Union[Dict[str, Any], None]

Optional.

methodgoogle.cloud.bigquery.external_config.ExternalCatalogTableOptions.storage_descriptor() -> Any

Optional.

classgoogle.cloud.bigquery.external_config.ExternalConfig

Description of an external data source.

methodgoogle.cloud.bigquery.external_config.ExternalConfig.options() -> Optional[OptionsType]

Source-specific options.

methodgoogle.cloud.bigquery.external_config.ExternalConfig.to_api_repr() -> dict

Build an API representation of this object.

classgoogle.cloud.bigquery.external_config.ExternalSourceFormat

The format for external data files.

classgoogle.cloud.bigquery.external_config.HivePartitioningOptions

Options that configure hive partitioning.

classgoogle.cloud.bigquery.format_options.AvroOptions

Options if source format is set to AVRO.

methodgoogle.cloud.bigquery.format_options.AvroOptions.to_api_repr() -> dict

Build an API representation of this object.

classgoogle.cloud.bigquery.job.base.ScriptStatistics

Statistics for a child job of a script.

methodgoogle.cloud.bigquery.job.base.ScriptStatistics.evaluation_kind() -> Optional[str]

str: Indicates the type of child job.

methodgoogle.cloud.bigquery.job.base.SessionInfo.session_id() -> Optional[str]

The ID of the session.

classgoogle.cloud.bigquery.job.base.TransactionInfo

[Alpha] Information of a multi-statement transaction.

classgoogle.cloud.bigquery.job.base.UnknownJob

A job whose type cannot be determined.

methodgoogle.cloud.bigquery.job.base.UnknownJob.from_api_repr(resource:dict, client) -> 'UnknownJob'

Construct an UnknownJob from the JSON representation.

classgoogle.cloud.bigquery.job.copy_.CopyJobConfig

Configuration options for copy jobs.

methodgoogle.cloud.bigquery.job.copy_.CopyJobConfig.operation_type() -> str

The operation to perform with this copy job.

classgoogle.cloud.bigquery.job.extract.ExtractJobConfig

Configuration options for extract jobs.

classgoogle.cloud.bigquery.job.load.ColumnNameCharacterMap

Indicates the character map used for column names.

classgoogle.cloud.bigquery.job.load.LoadJob

Asynchronous job for loading data into a table.

methodgoogle.cloud.bigquery.job.load.LoadJob.configuration() -> LoadJobConfig

The configuration for this load job.

methodgoogle.cloud.bigquery.job.load.LoadJob.from_api_repr(resource:dict, client) -> 'LoadJob'

Factory: construct a job given its API representation ..

methodgoogle.cloud.bigquery.job.load.LoadJob.input_files()

Count of source files.

classgoogle.cloud.bigquery.job.load.LoadJobConfig

Configuration options for load jobs.

methodgoogle.cloud.bigquery.job.load.LoadJobConfig.connection_properties() -> List[ConnectionProperty]

Connection properties.

classgoogle.cloud.bigquery.job.query.DmlStats

Detailed statistics for DML statements.

classgoogle.cloud.bigquery.job.query.QueryJob

Asynchronous job: query tables.

methodgoogle.cloud.bigquery.job.query.QueryJob.configuration() -> QueryJobConfig

The configuration for this query job.

methodgoogle.cloud.bigquery.job.query.QueryJob.query_id() -> Optional[str]

[Preview] ID of a completed query.

methodgoogle.cloud.bigquery.job.query.QueryJob.schema() -> Optional[List[SchemaField]]

The schema of the results.

methodgoogle.cloud.bigquery.job.query.QueryJob.search_stats() -> Optional[SearchStats]

Returns a SearchStats object.

classgoogle.cloud.bigquery.job.query.QueryJobConfig

Configuration options for query jobs.

methodgoogle.cloud.bigquery.job.query.QueryJobConfig.connection_properties() -> List[ConnectionProperty]

Connection properties.

methodgoogle.cloud.bigquery.job.query.QueryJobConfig.maximum_billing_tier()

int: Deprecated.

classgoogle.cloud.bigquery.job.query.QueryPlanEntryStep

Map a single step in a query plan entry.

methodgoogle.cloud.bigquery.job.query.QueryPlanEntryStep.from_api_repr(resource:dict) -> 'QueryPlanEntryStep'

Factory: construct instance from the JSON repr.

classgoogle.cloud.bigquery.job.query.ScriptOptions

Options controlling the execution of scripts.

methodgoogle.cloud.bigquery.job.query.ScriptOptions.from_api_repr(resource:Dict[str, Any]) -> 'ScriptOptions'

Factory: construct instance from the JSON repr.

methodgoogle.cloud.bigquery.job.query.ScriptOptions.to_api_repr() -> Dict[str, Any]

Construct the API resource representation.

classgoogle.cloud.bigquery.job.query.SearchStats

Statistics related to Search Queries.

classgoogle.cloud.bigquery.magics.line_arg_parser.lexer.AutoStrEnum

Base enum class for for name=value str enums.

classgoogle.cloud.bigquery.magics.line_arg_parser.parser.Parser

Parser for the tokenized cell magic input line.

classgoogle.cloud.bigquery.model.Model

Model represents a machine learning model resource.

methodgoogle.cloud.bigquery.model.Model.best_trial_id() -> Optional[int]

The best trial_id across all training runs.

methodgoogle.cloud.bigquery.model.Model.dataset_id() -> Optional[str]

ID of dataset containing the model.

methodgoogle.cloud.bigquery.model.Model.expires() -> Optional[datetime.datetime]

The datetime when this model expires.

methodgoogle.cloud.bigquery.model.Model.friendly_name() -> Optional[str]

Title of the table (defaults to :data:`None`).

methodgoogle.cloud.bigquery.model.Model.labels() -> Dict[str, str]

Labels for the table.

methodgoogle.cloud.bigquery.model.Model.location() -> Optional[str]

The geographic location where the model resides.

methodgoogle.cloud.bigquery.model.Model.model_id() -> Optional[str]

The model ID.

methodgoogle.cloud.bigquery.model.Model.model_type() -> str

Type of the model resource.

methodgoogle.cloud.bigquery.model.Model.path() -> Optional[str]

URL path for the model's APIs.

methodgoogle.cloud.bigquery.model.Model.project() -> Optional[str]

Project bound to the model.

methodgoogle.cloud.bigquery.model.Model.reference() -> Optional['ModelReference']

A model reference pointing to this model.

classgoogle.cloud.bigquery.model.ModelReference

ModelReferences are pointers to models.

methodgoogle.cloud.bigquery.model.ModelReference.model_id()

str: The model ID.

methodgoogle.cloud.bigquery.model.ModelReference.path() -> str

URL path for the model's APIs.

methodgoogle.cloud.bigquery.model.ModelReference.project()

str: Project bound to the model

classgoogle.cloud.bigquery.model.TransformColumn

TransformColumn represents a transform column feature.

methodgoogle.cloud.bigquery.model.TransformColumn.name() -> Optional[str]

Name of the column.

methodgoogle.cloud.bigquery.query.ArrayQueryParameter.from_api_repr(resource:dict) -> 'ArrayQueryParameter'

Factory: construct parameter from JSON resource.

methodgoogle.cloud.bigquery.query.ArrayQueryParameter.positional(array_type:str, values:list) -> 'ArrayQueryParameter'

Factory for positional parameters.

classgoogle.cloud.bigquery.query.ArrayQueryParameterType

Type representation for array query parameters.

methodgoogle.cloud.bigquery.query.RangeQueryParameter.from_api_repr(resource:dict) -> 'RangeQueryParameter'

Factory: construct parameter from JSON resource.

classgoogle.cloud.bigquery.query.RangeQueryParameterType

Type representation for range query parameters.

methodgoogle.cloud.bigquery.query.ScalarQueryParameter.from_api_repr(resource:dict) -> 'ScalarQueryParameter'

Factory: construct parameter from JSON resource.

method

google.cloud.bigquery.query.ScalarQueryParameter.positional(type_:Union[str, ScalarQueryParameterType], value:_SCALAR_VALUE_TYPE) -> 'ScalarQueryParameter'

Factory for positional paramater.

classgoogle.cloud.bigquery.query.ScalarQueryParameterType

Type representation for scalar query parameters.

methodgoogle.cloud.bigquery.query.StructQueryParameter.from_api_repr(resource:dict) -> 'StructQueryParameter'

Factory: construct parameter from JSON resource.

classgoogle.cloud.bigquery.query.StructQueryParameterType

Type representation for struct query parameters.

classgoogle.cloud.bigquery.query.UDFResource

Describe a single user-defined function (UDF) resource.

classgoogle.cloud.bigquery.routine.routine.ExternalRuntimeOptions

Options for the runtime of the external system.

methodgoogle.cloud.bigquery.routine.routine.ExternalRuntimeOptions.container_cpu() -> Optional[int]

Optional.

methodgoogle.cloud.bigquery.routine.routine.ExternalRuntimeOptions.container_memory() -> Optional[str]

Optional.

methodgoogle.cloud.bigquery.routine.routine.ExternalRuntimeOptions.max_batching_rows() -> Optional[int]

Optional.

methodgoogle.cloud.bigquery.routine.routine.ExternalRuntimeOptions.runtime_connection() -> Optional[str]

Optional.

methodgoogle.cloud.bigquery.routine.routine.ExternalRuntimeOptions.runtime_version() -> Optional[str]

Optional.

classgoogle.cloud.bigquery.routine.routine.Routine

Resource representing a user-defined routine.

methodgoogle.cloud.bigquery.routine.routine.Routine.body()

str: The body of the routine.

methodgoogle.cloud.bigquery.routine.routine.Routine.from_api_repr(resource:dict) -> 'Routine'

Factory: construct a routine given its API representation.

methodgoogle.cloud.bigquery.routine.routine.Routine.routine_id()

str: The routine ID.

classgoogle.cloud.bigquery.routine.routine.RoutineReference

A pointer to a routine.

methodgoogle.cloud.bigquery.routine.routine.RoutineReference.routine_id()

str: The routine ID.

classgoogle.cloud.bigquery.routine.routine.RoutineType

The fine-grained type of the routine.

classgoogle.cloud.bigquery.schema.FieldElementType

Represents the type of a field element.

classgoogle.cloud.bigquery.schema.PolicyTagList

Define Policy Tags for a column.

methodgoogle.cloud.bigquery.schema.PolicyTagList.to_api_repr() -> dict

Return a dictionary representing this object.

classgoogle.cloud.bigquery.schema.SchemaField

Describe a single field within a table schema.

methodgoogle.cloud.bigquery.schema.SchemaField.field_type() -> str

str: The type of the field.

methodgoogle.cloud.bigquery.schema.SchemaField.name()

str: The name of the field.

classgoogle.cloud.bigquery.schema.SerDeInfo

Serializer and deserializer information.

methodgoogle.cloud.bigquery.schema.SerDeInfo.name() -> Optional[str]

Optional.

methodgoogle.cloud.bigquery.schema.SerDeInfo.parameters() -> Optional[dict[str, str]]

Optional.

methodgoogle.cloud.bigquery.schema.SerDeInfo.serialization_library() -> str

Required.

methodgoogle.cloud.bigquery.schema.SerDeInfo.to_api_repr() -> dict

Build an API representation of this object.

classgoogle.cloud.bigquery.standard_sql.StandardSqlDataType

The type of a variable, e.g., a function argument.

methodgoogle.cloud.bigquery.standard_sql.StandardSqlDataType.type_kind() -> Optional[StandardSqlTypeNames]

The top level type of this field.

classgoogle.cloud.bigquery.standard_sql.StandardSqlField

A field or a column.

methodgoogle.cloud.bigquery.standard_sql.StandardSqlField.name() -> Optional[str]

The name of this field.

methodgoogle.cloud.bigquery.standard_sql.StandardSqlField.type() -> Optional[StandardSqlDataType]

The type of this parameter.

classgoogle.cloud.bigquery.standard_sql.StandardSqlStructType

Type of a struct field.

methodgoogle.cloud.bigquery.standard_sql.StandardSqlStructType.fields() -> List[StandardSqlField]

The fields in this struct.

classgoogle.cloud.bigquery.standard_sql.StandardSqlTableType

A table type.

methodgoogle.cloud.bigquery.standard_sql.StandardSqlTableType.columns() -> List[StandardSqlField]

The columns in this table type.

methodgoogle.cloud.bigquery.table.ForeignKey.from_api_repr(api_repr:Dict[str, Any]) -> 'ForeignKey'

Create an instance from API representation.

methodgoogle.cloud.bigquery.table.ForeignKey.to_api_repr() -> Dict[str, Any]

Return a dictionary representing this object.

classgoogle.cloud.bigquery.table.PartitionRange

Definition of the ranges for range partitioning.

classgoogle.cloud.bigquery.table.RangePartitioning

Range-based partitioning configuration for a table.

classgoogle.cloud.bigquery.table.Row

A BigQuery row.

methodgoogle.cloud.bigquery.table.Row.get(key:str, default:Any=None) -> Any

Return a value for key, with a default value if it does not exist.

methodgoogle.cloud.bigquery.table.Row.items() -> Iterable[Tuple[str, Any]]

Return items as ``(key, value)`` pairs.

methodgoogle.cloud.bigquery.table.Row.keys() -> Iterable[str]

Return the keys for using a row as a dict.

classgoogle.cloud.bigquery.table.StreamingBuffer

Information about a table's streaming buffer.

methodgoogle.cloud.bigquery.table.Table.clone_definition() -> Optional['CloneDefinition']

Information about the clone.

methodgoogle.cloud.bigquery.table.Table.foreign_type_info() -> Optional[_schema.ForeignTypeInfo]

Optional.

methodgoogle.cloud.bigquery.table.Table.from_string(full_table_id:str) -> 'Table'

Construct a table from fully-qualified table ID.

methodgoogle.cloud.bigquery.table.Table.snapshot_definition() -> Optional['SnapshotDefinition']

Information about the snapshot.

classgoogle.cloud.bigquery.table.TableListItem

A read-only table resource from a list operation.

methodgoogle.cloud.bigquery.table.TableListItem.from_string(full_table_id:str) -> 'TableListItem'

Construct a table from fully-qualified table ID.

classgoogle.cloud.bigquery.table.TableReference

TableReferences are pointers to tables.

method

google.cloud.bigquery.table.TableReference.from_string(table_id:str, default_project:Optional[str]=None) -> 'TableReference'

Construct a table reference from table ID string.

classgoogle.cloud.bigquery.table.TimePartitioning

Configures time-based partitioning for a table.

methodgoogle.cloud.bigquery.table.TimePartitioning.to_api_repr() -> dict

Return a dictionary representing this object.

classgoogle.cloud.bigquery.table.TimePartitioningType

Specifies the type of time partitioning to perform.

classgoogle.cloud.bigquery_v2.types.model.DeleteModelRequest

Attributes: project_id (str): Required.

classgoogle.cloud.bigquery_v2.types.model.GetModelRequest

Attributes: project_id (str): Required.

classgoogle.cloud.bigquery_v2.types.model.ListModelsRequest

Attributes: project_id (str): Required.

classgoogle.cloud.bigquery_v2.types.model.Model

Attributes: etag (str): Output only.

classgoogle.cloud.bigquery_v2.types.model.Model.ArimaFittingMetrics

ARIMA model fitting metrics.

classgoogle.cloud.bigquery_v2.types.model.Model.ClusteringMetrics

Evaluation metrics for clustering models.

classgoogle.cloud.bigquery_v2.types.model.Model.DataSplitResult

Data split result.

classgoogle.cloud.bigquery_v2.types.model.Model.EvaluationMetrics

Evaluation metrics of a model.

classgoogle.cloud.bigquery_v2.types.model.Model.GlobalExplanation.Explanation

Explanation for a single feature.

classgoogle.cloud.bigquery_v2.types.model.Model.LossType

Loss metric to evaluate model training performance.

classgoogle.cloud.bigquery_v2.types.model.Model.ModelType

Indicates the type of the Model.

classgoogle.cloud.bigquery_v2.types.model.Model.TrainingRun.IterationResult.ArimaResult

(Auto-)arima fitting result.

classgoogle.cloud.bigquery_v2.types.model.Model.TrainingRun.IterationResult.ArimaResult.ArimaCoefficients

Arima coefficients.

classgoogle.cloud.bigquery_v2.types.model.Model.TrainingRun.IterationResult.ArimaResult.ArimaModelInfo

Arima model information.

classgoogle.cloud.bigquery_v2.types.model.Model.TrainingRun.TrainingOptions

Options used in model training.

classgoogle.cloud.bigquery_v2.types.model.PatchModelRequest

Attributes: project_id (str): Required.

classgoogle.cloud.bigquery_v2.types.model_reference.ModelReference

Id path of a model.

classgoogle.cloud.bigquery_v2.types.standard_sql.StandardSqlField

A field or a column.

classgoogle.cloud.bigquery_v2.types.table_reference.TableReference

Attributes: project_id (str): Required.

この情報について

掲載しているシグネチャは googleapis/python-bigquery の公開ソースコードを Python の ast モジュールで静的解析し、引数名・デフォルト値・型注釈・戻り値型をそのまま抽出したものです。実装コードは保存していません。詳しくは仕組みの解説をご覧ください。

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