Package Methods (3.39.0)

Summary of entries of Methods for bigquery.

google.cloud.bigquery.dbapi.Binary

Binary(data)

Contruct a DB-API binary value.

See more: google.cloud.bigquery.dbapi.Binary

google.cloud.bigquery.dbapi.DateFromTicks

DateFromTicks(timestamp, /)

Create a date from a POSIX timestamp.

See more: google.cloud.bigquery.dbapi.DateFromTicks

google.cloud.bigquery.dbapi.TimeFromTicks

TimeFromTicks(ticks, tz=None)

Construct a DB-API time value from the given ticks value.

See more: google.cloud.bigquery.dbapi.TimeFromTicks

google.cloud.bigquery.dbapi.TimestampFromTicks

timestamp[, tz] -> tz's local time from POSIX timestamp.

See more: google.cloud.bigquery.dbapi.TimestampFromTicks

google.cloud.bigquery.dbapi.connect

connect(client=None, bqstorage_client=None, prefer_bqstorage_client=True)

Construct a DB-API connection to Google BigQuery.

See more: google.cloud.bigquery.dbapi.connect

google.cloud.bigquery.client.Client.cancel_job

cancel_job(
    job_id: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> typing.Union[
    google.cloud.bigquery.job.load.LoadJob,
    google.cloud.bigquery.job.copy_.CopyJob,
    google.cloud.bigquery.job.extract.ExtractJob,
    google.cloud.bigquery.job.query.QueryJob,
]

Attempt to cancel a job from a job ID.

See more: google.cloud.bigquery.client.Client.cancel_job

google.cloud.bigquery.client.Client.close

close()

Close the underlying transport objects, releasing system resources.

See more: google.cloud.bigquery.client.Client.close

google.cloud.bigquery.client.Client.copy_table

copy_table(
    sources: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        str,
        typing.Sequence[
            typing.Union[
                google.cloud.bigquery.table.Table,
                google.cloud.bigquery.table.TableReference,
                google.cloud.bigquery.table.TableListItem,
                str,
            ]
        ],
    ],
    destination: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        str,
    ],
    job_id: typing.Optional[str] = None,
    job_id_prefix: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    job_config: typing.Optional[google.cloud.bigquery.job.copy_.CopyJobConfig] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.job.copy_.CopyJob

Copy one or more tables to another table.

See more: google.cloud.bigquery.client.Client.copy_table

google.cloud.bigquery.client.Client.create_dataset

create_dataset(
    dataset: typing.Union[
        str,
        google.cloud.bigquery.dataset.Dataset,
        google.cloud.bigquery.dataset.DatasetReference,
        google.cloud.bigquery.dataset.DatasetListItem,
    ],
    exists_ok: bool = False,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.dataset.Dataset

API call: create the dataset via a POST request.

See more: google.cloud.bigquery.client.Client.create_dataset

google.cloud.bigquery.client.Client.create_job

create_job(
    job_config: dict,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> typing.Union[
    google.cloud.bigquery.job.load.LoadJob,
    google.cloud.bigquery.job.copy_.CopyJob,
    google.cloud.bigquery.job.extract.ExtractJob,
    google.cloud.bigquery.job.query.QueryJob,
]

Create a new job.

See more: google.cloud.bigquery.client.Client.create_job

google.cloud.bigquery.client.Client.create_routine

create_routine(
    routine: google.cloud.bigquery.routine.routine.Routine,
    exists_ok: bool = False,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.routine.routine.Routine

[Beta] Create a routine via a POST request.

See more: google.cloud.bigquery.client.Client.create_routine

google.cloud.bigquery.client.Client.create_table

create_table(
    table: typing.Union[
        str,
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
    ],
    exists_ok: bool = False,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.table.Table

API call: create a table via a PUT request.

See more: google.cloud.bigquery.client.Client.create_table

google.cloud.bigquery.client.Client.dataset

dataset(
    dataset_id: str, project: typing.Optional[str] = None
) -> google.cloud.bigquery.dataset.DatasetReference

Deprecated: Construct a reference to a dataset.

See more: google.cloud.bigquery.client.Client.dataset

google.cloud.bigquery.client.Client.delete_dataset

delete_dataset(
    dataset: typing.Union[
        google.cloud.bigquery.dataset.Dataset,
        google.cloud.bigquery.dataset.DatasetReference,
        google.cloud.bigquery.dataset.DatasetListItem,
        str,
    ],
    delete_contents: bool = False,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    not_found_ok: bool = False,
) -> None

Delete a dataset.

See more: google.cloud.bigquery.client.Client.delete_dataset

google.cloud.bigquery.client.Client.delete_job_metadata

delete_job_metadata(
    job_id: typing.Union[
        str,
        google.cloud.bigquery.job.load.LoadJob,
        google.cloud.bigquery.job.copy_.CopyJob,
        google.cloud.bigquery.job.extract.ExtractJob,
        google.cloud.bigquery.job.query.QueryJob,
    ],
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    not_found_ok: bool = False,
)

[Beta] Delete job metadata from job history.

See more: google.cloud.bigquery.client.Client.delete_job_metadata

google.cloud.bigquery.client.Client.delete_model

delete_model(
    model: typing.Union[
        google.cloud.bigquery.model.Model,
        google.cloud.bigquery.model.ModelReference,
        str,
    ],
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    not_found_ok: bool = False,
) -> None

[Beta] Delete a model.

See more: google.cloud.bigquery.client.Client.delete_model

google.cloud.bigquery.client.Client.delete_routine

delete_routine(
    routine: typing.Union[
        google.cloud.bigquery.routine.routine.Routine,
        google.cloud.bigquery.routine.routine.RoutineReference,
        str,
    ],
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    not_found_ok: bool = False,
) -> None

[Beta] Delete a routine.

See more: google.cloud.bigquery.client.Client.delete_routine

google.cloud.bigquery.client.Client.delete_table

delete_table(
    table: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        str,
    ],
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    not_found_ok: bool = False,
) -> None

Delete a table.

See more: google.cloud.bigquery.client.Client.delete_table

google.cloud.bigquery.client.Client.extract_table

extract_table(
    source: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        google.cloud.bigquery.model.Model,
        google.cloud.bigquery.model.ModelReference,
        str,
    ],
    destination_uris: typing.Union[str, typing.Sequence[str]],
    job_id: typing.Optional[str] = None,
    job_id_prefix: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    job_config: typing.Optional[
        google.cloud.bigquery.job.extract.ExtractJobConfig
    ] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    source_type: str = "Table",
) -> google.cloud.bigquery.job.extract.ExtractJob

Start a job to extract a table into Cloud Storage files.

See more: google.cloud.bigquery.client.Client.extract_table

google.cloud.bigquery.client.Client.get_dataset

get_dataset(
    dataset_ref: typing.Union[google.cloud.bigquery.dataset.DatasetReference, str],
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    dataset_view: typing.Optional[google.cloud.bigquery.enums.DatasetView] = None,
) -> google.cloud.bigquery.dataset.Dataset

Fetch the dataset referenced by dataset_ref .

See more: google.cloud.bigquery.client.Client.get_dataset

google.cloud.bigquery.client.Client.get_iam_policy

get_iam_policy(
    table: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        str,
    ],
    requested_policy_version: int = 1,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.api_core.iam.Policy

Return the access control policy for a table resource.

See more: google.cloud.bigquery.client.Client.get_iam_policy

google.cloud.bigquery.client.Client.get_job

get_job(
    job_id: typing.Union[
        str,
        google.cloud.bigquery.job.load.LoadJob,
        google.cloud.bigquery.job.copy_.CopyJob,
        google.cloud.bigquery.job.extract.ExtractJob,
        google.cloud.bigquery.job.query.QueryJob,
    ],
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = 128,
) -> typing.Union[
    google.cloud.bigquery.job.load.LoadJob,
    google.cloud.bigquery.job.copy_.CopyJob,
    google.cloud.bigquery.job.extract.ExtractJob,
    google.cloud.bigquery.job.query.QueryJob,
    google.cloud.bigquery.job.base.UnknownJob,
]

Fetch a job for the project associated with this client.

See more: google.cloud.bigquery.client.Client.get_job

google.cloud.bigquery.client.Client.get_model

get_model(
    model_ref: typing.Union[google.cloud.bigquery.model.ModelReference, str],
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.model.Model

[Beta] Fetch the model referenced by model_ref.

See more: google.cloud.bigquery.client.Client.get_model

google.cloud.bigquery.client.Client.get_routine

get_routine(
    routine_ref: typing.Union[
        google.cloud.bigquery.routine.routine.Routine,
        google.cloud.bigquery.routine.routine.RoutineReference,
        str,
    ],
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.routine.routine.Routine

[Beta] Get the routine referenced by routine_ref.

See more: google.cloud.bigquery.client.Client.get_routine

google.cloud.bigquery.client.Client.get_service_account_email

get_service_account_email(
    project: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> str

Get the email address of the project's BigQuery service account.

See more: google.cloud.bigquery.client.Client.get_service_account_email

google.cloud.bigquery.client.Client.get_table

get_table(
    table: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        str,
    ],
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.table.Table

Fetch the table referenced by table.

See more: google.cloud.bigquery.client.Client.get_table

google.cloud.bigquery.client.Client.insert_rows

insert_rows(
    table: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        str,
    ],
    rows: typing.Union[
        typing.Iterable[typing.Tuple], typing.Iterable[typing.Mapping[str, typing.Any]]
    ],
    selected_fields: typing.Optional[
        typing.Sequence[google.cloud.bigquery.schema.SchemaField]
    ] = None,
    **kwargs
) -> typing.Sequence[typing.Dict[str, typing.Any]]

Insert rows into a table via the streaming API.

See more: google.cloud.bigquery.client.Client.insert_rows

google.cloud.bigquery.client.Client.insert_rows_from_dataframe

insert_rows_from_dataframe(
    table: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        str,
    ],
    dataframe,
    selected_fields: typing.Optional[
        typing.Sequence[google.cloud.bigquery.schema.SchemaField]
    ] = None,
    chunk_size: int = 500,
    **kwargs: typing.Dict
) -> typing.Sequence[typing.Sequence[dict]]

Insert rows into a table from a dataframe via the streaming API.

See more: google.cloud.bigquery.client.Client.insert_rows_from_dataframe

google.cloud.bigquery.client.Client.insert_rows_json

insert_rows_json(
    table: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        str,
    ],
    json_rows: typing.Sequence[typing.Mapping[str, typing.Any]],
    row_ids: typing.Optional[
        typing.Union[
            typing.Iterable[typing.Optional[str]],
            google.cloud.bigquery.enums.AutoRowIDs,
        ]
    ] = AutoRowIDs.GENERATE_UUID,
    skip_invalid_rows: typing.Optional[bool] = None,
    ignore_unknown_values: typing.Optional[bool] = None,
    template_suffix: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> typing.Sequence[dict]

Insert rows into a table without applying local type conversions.

See more: google.cloud.bigquery.client.Client.insert_rows_json

google.cloud.bigquery.client.Client.job_from_resource

job_from_resource(
    resource: dict,
) -> typing.Union[
    google.cloud.bigquery.job.copy_.CopyJob,
    google.cloud.bigquery.job.extract.ExtractJob,
    google.cloud.bigquery.job.load.LoadJob,
    google.cloud.bigquery.job.query.QueryJob,
    google.cloud.bigquery.job.base.UnknownJob,
]

Detect correct job type from resource and instantiate.

See more: google.cloud.bigquery.client.Client.job_from_resource

google.cloud.bigquery.client.Client.list_datasets

list_datasets(
    project: typing.Optional[str] = None,
    include_all: bool = False,
    filter: typing.Optional[str] = None,
    max_results: typing.Optional[int] = None,
    page_token: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    page_size: typing.Optional[int] = None,
) -> google.api_core.page_iterator.Iterator

List datasets for the project associated with this client.

See more: google.cloud.bigquery.client.Client.list_datasets

google.cloud.bigquery.client.Client.list_jobs

list_jobs(
    project: typing.Optional[str] = None,
    parent_job: typing.Optional[
        typing.Union[google.cloud.bigquery.job.query.QueryJob, str]
    ] = None,
    max_results: typing.Optional[int] = None,
    page_token: typing.Optional[str] = None,
    all_users: typing.Optional[bool] = None,
    state_filter: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    min_creation_time: typing.Optional[datetime.datetime] = None,
    max_creation_time: typing.Optional[datetime.datetime] = None,
    page_size: typing.Optional[int] = None,
) -> google.api_core.page_iterator.Iterator

List jobs for the project associated with this client.

See more: google.cloud.bigquery.client.Client.list_jobs

google.cloud.bigquery.client.Client.list_models

list_models(
    dataset: typing.Union[
        google.cloud.bigquery.dataset.Dataset,
        google.cloud.bigquery.dataset.DatasetReference,
        google.cloud.bigquery.dataset.DatasetListItem,
        str,
    ],
    max_results: typing.Optional[int] = None,
    page_token: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    page_size: typing.Optional[int] = None,
) -> google.api_core.page_iterator.Iterator

[Beta] List models in the dataset.

See more: google.cloud.bigquery.client.Client.list_models

google.cloud.bigquery.client.Client.list_partitions

list_partitions(
    table: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        str,
    ],
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> typing.Sequence[str]

List the partitions in a table.

See more: google.cloud.bigquery.client.Client.list_partitions

google.cloud.bigquery.client.Client.list_projects

list_projects(
    max_results: typing.Optional[int] = None,
    page_token: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    page_size: typing.Optional[int] = None,
) -> google.api_core.page_iterator.Iterator

List projects for the project associated with this client.

See more: google.cloud.bigquery.client.Client.list_projects

google.cloud.bigquery.client.Client.list_routines

list_routines(
    dataset: typing.Union[
        google.cloud.bigquery.dataset.Dataset,
        google.cloud.bigquery.dataset.DatasetReference,
        google.cloud.bigquery.dataset.DatasetListItem,
        str,
    ],
    max_results: typing.Optional[int] = None,
    page_token: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    page_size: typing.Optional[int] = None,
) -> google.api_core.page_iterator.Iterator

[Beta] List routines in the dataset.

See more: google.cloud.bigquery.client.Client.list_routines

google.cloud.bigquery.client.Client.list_rows

list_rows(
    table: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableListItem,
        google.cloud.bigquery.table.TableReference,
        str,
    ],
    selected_fields: typing.Optional[
        typing.Sequence[google.cloud.bigquery.schema.SchemaField]
    ] = None,
    max_results: typing.Optional[int] = None,
    page_token: typing.Optional[str] = None,
    start_index: typing.Optional[int] = None,
    page_size: typing.Optional[int] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.table.RowIterator

List the rows of the table.

See more: google.cloud.bigquery.client.Client.list_rows

google.cloud.bigquery.client.Client.list_tables

list_tables(
    dataset: typing.Union[
        google.cloud.bigquery.dataset.Dataset,
        google.cloud.bigquery.dataset.DatasetReference,
        google.cloud.bigquery.dataset.DatasetListItem,
        str,
    ],
    max_results: typing.Optional[int] = None,
    page_token: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    page_size: typing.Optional[int] = None,
) -> google.api_core.page_iterator.Iterator

List tables in the dataset.

See more: google.cloud.bigquery.client.Client.list_tables

google.cloud.bigquery.client.Client.load_table_from_dataframe

load_table_from_dataframe(
    dataframe: pandas.DataFrame,
    destination: Union[Table, TableReference, str],
    num_retries: int = 6,
    job_id: Optional[str] = None,
    job_id_prefix: Optional[str] = None,
    location: Optional[str] = None,
    project: Optional[str] = None,
    job_config: Optional[LoadJobConfig] = None,
    parquet_compression: str = "snappy",
    timeout: ResumableTimeoutType = None,
) -> job.LoadJob

Upload the contents of a table from a pandas DataFrame.

See more: google.cloud.bigquery.client.Client.load_table_from_dataframe

google.cloud.bigquery.client.Client.load_table_from_file

load_table_from_file(
    file_obj: typing.IO[bytes],
    destination: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        str,
    ],
    rewind: bool = False,
    size: typing.Optional[int] = None,
    num_retries: int = 6,
    job_id: typing.Optional[str] = None,
    job_id_prefix: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    job_config: typing.Optional[google.cloud.bigquery.job.load.LoadJobConfig] = None,
    timeout: typing.Union[None, float, typing.Tuple[float, float]] = None,
) -> google.cloud.bigquery.job.load.LoadJob

Upload the contents of this table from a file-like object.

See more: google.cloud.bigquery.client.Client.load_table_from_file

google.cloud.bigquery.client.Client.load_table_from_json

load_table_from_json(
    json_rows: typing.Iterable[typing.Dict[str, typing.Any]],
    destination: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        str,
    ],
    num_retries: int = 6,
    job_id: typing.Optional[str] = None,
    job_id_prefix: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    job_config: typing.Optional[google.cloud.bigquery.job.load.LoadJobConfig] = None,
    timeout: typing.Union[None, float, typing.Tuple[float, float]] = None,
) -> google.cloud.bigquery.job.load.LoadJob

Upload the contents of a table from a JSON string or dict.

See more: google.cloud.bigquery.client.Client.load_table_from_json

google.cloud.bigquery.client.Client.load_table_from_uri

load_table_from_uri(
    source_uris: typing.Union[str, typing.Sequence[str]],
    destination: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        str,
    ],
    job_id: typing.Optional[str] = None,
    job_id_prefix: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    job_config: typing.Optional[google.cloud.bigquery.job.load.LoadJobConfig] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.job.load.LoadJob

Starts a job for loading data into a table from Cloud Storage.

See more: google.cloud.bigquery.client.Client.load_table_from_uri

google.cloud.bigquery.client.Client.query

query(
    query: str,
    job_config: typing.Optional[google.cloud.bigquery.job.query.QueryJobConfig] = None,
    job_id: typing.Optional[str] = None,
    job_id_prefix: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    job_retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
    api_method: typing.Union[
        str, google.cloud.bigquery.enums.QueryApiMethod
    ] = QueryApiMethod.INSERT,
) -> google.cloud.bigquery.job.query.QueryJob

Run a SQL query.

See more: google.cloud.bigquery.client.Client.query

google.cloud.bigquery.client.Client.query_and_wait

query_and_wait(
    query,
    *,
    job_config: typing.Optional[google.cloud.bigquery.job.query.QueryJobConfig] = None,
    location: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    api_timeout: typing.Optional[float] = None,
    wait_timeout: typing.Union[float, None, object] = object,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    job_retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    page_size: typing.Optional[int] = None,
    max_results: typing.Optional[int] = None
) -> google.cloud.bigquery.table.RowIterator

Run the query, wait for it to finish, and return the results.

See more: google.cloud.bigquery.client.Client.query_and_wait

google.cloud.bigquery.client.Client.schema_from_json

schema_from_json(file_or_path: PathType) -> List[SchemaField]

Takes a file object or file path that contains json that describes a table schema.

See more: google.cloud.bigquery.client.Client.schema_from_json

google.cloud.bigquery.client.Client.schema_to_json

schema_to_json(schema_list: Sequence[SchemaField], destination: PathType)

Takes a list of schema field objects.

See more: google.cloud.bigquery.client.Client.schema_to_json

google.cloud.bigquery.client.Client.set_iam_policy

set_iam_policy(
    table: typing.Union[
        google.cloud.bigquery.table.Table,
        google.cloud.bigquery.table.TableReference,
        google.cloud.bigquery.table.TableListItem,
        str,
    ],
    policy: google.api_core.iam.Policy,
    updateMask: typing.Optional[str] = None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    *,
    fields: typing.Sequence[str] = ()
) -> google.api_core.iam.Policy

Return the access control policy for a table resource.

See more: google.cloud.bigquery.client.Client.set_iam_policy

google.cloud.bigquery.client.Client.update_dataset

update_dataset(
    dataset: google.cloud.bigquery.dataset.Dataset,
    fields: typing.Sequence[str],
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
    update_mode: typing.Optional[google.cloud.bigquery.enums.UpdateMode] = None,
) -> google.cloud.bigquery.dataset.Dataset

Change some fields of a dataset.

See more: google.cloud.bigquery.client.Client.update_dataset

google.cloud.bigquery.client.Client.update_model

update_model(
    model: google.cloud.bigquery.model.Model,
    fields: typing.Sequence[str],
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.model.Model

[Beta] Change some fields of a model.

See more: google.cloud.bigquery.client.Client.update_model

google.cloud.bigquery.client.Client.update_routine

update_routine(
    routine: google.cloud.bigquery.routine.routine.Routine,
    fields: typing.Sequence[str],
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.routine.routine.Routine

[Beta] Change some fields of a routine.

See more: google.cloud.bigquery.client.Client.update_routine

google.cloud.bigquery.client.Client.update_table

update_table(
    table: google.cloud.bigquery.table.Table,
    fields: typing.Sequence[str],
    autodetect_schema: bool = False,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.table.Table

Change some fields of a table.

See more: google.cloud.bigquery.client.Client.update_table

google.cloud.bigquery.client.Project.from_api_repr

from_api_repr(resource)

Factory: construct an instance from a resource dict.

See more: google.cloud.bigquery.client.Project.from_api_repr

google.cloud.bigquery.dataset.AccessEntry.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.dataset.AccessEntry

Factory: construct an access entry given its API representation .

See more: google.cloud.bigquery.dataset.AccessEntry.from_api_repr

google.cloud.bigquery.dataset.AccessEntry.to_api_repr

to_api_repr()

Construct the API resource representation of this access entry .

See more: google.cloud.bigquery.dataset.AccessEntry.to_api_repr

google.cloud.bigquery.dataset.Condition.eq

__eq__(other: object) -> bool

Check for equality based on expression, title, and description.

See more: google.cloud.bigquery.dataset.Condition.eq

google.cloud.bigquery.dataset.Condition.hash

__hash__() -> int

Generate a hash based on expression, title, and description.

See more: google.cloud.bigquery.dataset.Condition.hash

google.cloud.bigquery.dataset.Condition.ne

__ne__(other: object) -> bool

Check for inequality.

See more: google.cloud.bigquery.dataset.Condition.ne

google.cloud.bigquery.dataset.Condition.repr

__repr__() -> str

Return a string representation of the Condition object.

See more: google.cloud.bigquery.dataset.Condition.repr

google.cloud.bigquery.dataset.Condition.from_api_repr

from_api_repr(
    resource: typing.Dict[str, typing.Any],
) -> google.cloud.bigquery.dataset.Condition

Factory: construct a Condition instance given its API representation.

See more: google.cloud.bigquery.dataset.Condition.from_api_repr

google.cloud.bigquery.dataset.Condition.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Construct the API resource representation of this Condition.

See more: google.cloud.bigquery.dataset.Condition.to_api_repr

google.cloud.bigquery.dataset.Dataset.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.dataset.Dataset

Factory: construct a dataset given its API representation .

See more: google.cloud.bigquery.dataset.Dataset.from_api_repr

google.cloud.bigquery.dataset.Dataset.from_string

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

Construct a dataset from fully-qualified dataset ID.

See more: google.cloud.bigquery.dataset.Dataset.from_string

google.cloud.bigquery.dataset.Dataset.model

model(model_id)

Constructs a ModelReference.

See more: google.cloud.bigquery.dataset.Dataset.model

google.cloud.bigquery.dataset.Dataset.routine

routine(routine_id)

Constructs a RoutineReference.

See more: google.cloud.bigquery.dataset.Dataset.routine

google.cloud.bigquery.dataset.Dataset.table

table(table_id: str) -> google.cloud.bigquery.table.TableReference

Constructs a TableReference.

See more: google.cloud.bigquery.dataset.Dataset.table

google.cloud.bigquery.dataset.Dataset.to_api_repr

to_api_repr() -> dict

Construct the API resource representation of this dataset .

See more: google.cloud.bigquery.dataset.Dataset.to_api_repr

google.cloud.bigquery.dataset.DatasetListItem.model

model(model_id)

Constructs a ModelReference.

See more: google.cloud.bigquery.dataset.DatasetListItem.model

google.cloud.bigquery.dataset.DatasetListItem.routine

routine(routine_id)

Constructs a RoutineReference.

See more: google.cloud.bigquery.dataset.DatasetListItem.routine

google.cloud.bigquery.dataset.DatasetListItem.table

table(table_id: str) -> google.cloud.bigquery.table.TableReference

Constructs a TableReference.

See more: google.cloud.bigquery.dataset.DatasetListItem.table

google.cloud.bigquery.dataset.DatasetReference.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.dataset.DatasetReference

Factory: construct a dataset reference given its API representation .

See more: google.cloud.bigquery.dataset.DatasetReference.from_api_repr

google.cloud.bigquery.dataset.DatasetReference.from_string

from_string(
    dataset_id: str, default_project: typing.Optional[str] = None
) -> google.cloud.bigquery.dataset.DatasetReference

Construct a dataset reference from dataset ID string.

See more: google.cloud.bigquery.dataset.DatasetReference.from_string

google.cloud.bigquery.dataset.DatasetReference.model

model(model_id)

Constructs a ModelReference.

See more: google.cloud.bigquery.dataset.DatasetReference.model

google.cloud.bigquery.dataset.DatasetReference.routine

routine(routine_id)

Constructs a RoutineReference.

See more: google.cloud.bigquery.dataset.DatasetReference.routine

google.cloud.bigquery.dataset.DatasetReference.table

table(table_id: str) -> google.cloud.bigquery.table.TableReference

Constructs a TableReference.

See more: google.cloud.bigquery.dataset.DatasetReference.table

google.cloud.bigquery.dataset.DatasetReference.to_api_repr

to_api_repr() -> dict

Construct the API resource representation of this dataset reference .

See more: google.cloud.bigquery.dataset.DatasetReference.to_api_repr

google.cloud.bigquery.dbapi.Connection.close

close()

Close the connection and any cursors created from it.

See more: google.cloud.bigquery.dbapi.Connection.close

google.cloud.bigquery.dbapi.Connection.commit

commit()

No-op, but for consistency raise an error if connection is closed.

See more: google.cloud.bigquery.dbapi.Connection.commit

google.cloud.bigquery.dbapi.Connection.cursor

cursor()

Return a new cursor object.

See more: google.cloud.bigquery.dbapi.Connection.cursor

google.cloud.bigquery.dbapi.Cursor.close

close()

Mark the cursor as closed, preventing its further use.

See more: google.cloud.bigquery.dbapi.Cursor.close

google.cloud.bigquery.dbapi.Cursor.execute

execute(operation, parameters=None, job_id=None, job_config=None)

Prepare and execute a database operation.

See more: google.cloud.bigquery.dbapi.Cursor.execute

google.cloud.bigquery.dbapi.Cursor.executemany

executemany(operation, seq_of_parameters)

Prepare and execute a database operation multiple times.

See more: google.cloud.bigquery.dbapi.Cursor.executemany

google.cloud.bigquery.dbapi.Cursor.fetchall

fetchall()

Fetch all remaining results from the last execute*() call.

See more: google.cloud.bigquery.dbapi.Cursor.fetchall

google.cloud.bigquery.dbapi.Cursor.fetchmany

fetchmany(size=None)

Fetch multiple results from the last execute*() call.

See more: google.cloud.bigquery.dbapi.Cursor.fetchmany

google.cloud.bigquery.dbapi.Cursor.fetchone

fetchone()

Fetch a single row from the results of the last execute*() call.

See more: google.cloud.bigquery.dbapi.Cursor.fetchone

google.cloud.bigquery.dbapi.Cursor.setinputsizes

setinputsizes(sizes)

No-op, but for consistency raise an error if cursor is closed.

See more: google.cloud.bigquery.dbapi.Cursor.setinputsizes

google.cloud.bigquery.dbapi.Cursor.setoutputsize

setoutputsize(size, column=None)

No-op, but for consistency raise an error if cursor is closed.

See more: google.cloud.bigquery.dbapi.Cursor.setoutputsize

google.cloud.bigquery.encryption_configuration.EncryptionConfiguration.from_api_repr

from_api_repr(resource)

Construct an encryption configuration from its API representation .

See more: google.cloud.bigquery.encryption_configuration.EncryptionConfiguration.from_api_repr

google.cloud.bigquery.encryption_configuration.EncryptionConfiguration.to_api_repr

to_api_repr()

Construct the API resource representation of this encryption configuration.

See more: google.cloud.bigquery.encryption_configuration.EncryptionConfiguration.to_api_repr

google.cloud.bigquery.external_config.BigtableColumn.from_api_repr

from_api_repr(
    resource: dict,
) -> google.cloud.bigquery.external_config.BigtableColumn

Factory: construct a .external_config.BigtableColumn instance given its API representation.

See more: google.cloud.bigquery.external_config.BigtableColumn.from_api_repr

google.cloud.bigquery.external_config.BigtableColumn.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.external_config.BigtableColumn.to_api_repr

google.cloud.bigquery.external_config.BigtableColumnFamily.from_api_repr

from_api_repr(
    resource: dict,
) -> google.cloud.bigquery.external_config.BigtableColumnFamily

Factory: construct a .external_config.BigtableColumnFamily instance given its API representation.

See more: google.cloud.bigquery.external_config.BigtableColumnFamily.from_api_repr

google.cloud.bigquery.external_config.BigtableColumnFamily.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.external_config.BigtableColumnFamily.to_api_repr

google.cloud.bigquery.external_config.BigtableOptions.from_api_repr

from_api_repr(
    resource: dict,
) -> google.cloud.bigquery.external_config.BigtableOptions

Factory: construct a .external_config.BigtableOptions instance given its API representation.

See more: google.cloud.bigquery.external_config.BigtableOptions.from_api_repr

google.cloud.bigquery.external_config.BigtableOptions.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.external_config.BigtableOptions.to_api_repr

google.cloud.bigquery.external_config.CSVOptions.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.external_config.CSVOptions

Factory: construct a .external_config.CSVOptions instance given its API representation.

See more: google.cloud.bigquery.external_config.CSVOptions.from_api_repr

google.cloud.bigquery.external_config.CSVOptions.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.external_config.CSVOptions.to_api_repr

google.cloud.bigquery.external_config.ExternalCatalogDatasetOptions.from_api_repr

from_api_repr(
    api_repr: dict,
) -> google.cloud.bigquery.external_config.ExternalCatalogDatasetOptions

Factory: constructs an instance of the class (cls) given its API representation.

See more: google.cloud.bigquery.external_config.ExternalCatalogDatasetOptions.from_api_repr

google.cloud.bigquery.external_config.ExternalCatalogDatasetOptions.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.external_config.ExternalCatalogDatasetOptions.to_api_repr

google.cloud.bigquery.external_config.ExternalCatalogTableOptions.from_api_repr

from_api_repr(
    api_repr: dict,
) -> google.cloud.bigquery.external_config.ExternalCatalogTableOptions

Factory: constructs an instance of the class (cls) given its API representation.

See more: google.cloud.bigquery.external_config.ExternalCatalogTableOptions.from_api_repr

google.cloud.bigquery.external_config.ExternalCatalogTableOptions.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.external_config.ExternalCatalogTableOptions.to_api_repr

google.cloud.bigquery.external_config.ExternalConfig.from_api_repr

from_api_repr(
    resource: dict,
) -> google.cloud.bigquery.external_config.ExternalConfig

Factory: construct an .external_config.ExternalConfig instance given its API representation.

See more: google.cloud.bigquery.external_config.ExternalConfig.from_api_repr

google.cloud.bigquery.external_config.ExternalConfig.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.external_config.ExternalConfig.to_api_repr

google.cloud.bigquery.external_config.GoogleSheetsOptions.from_api_repr

from_api_repr(
    resource: dict,
) -> google.cloud.bigquery.external_config.GoogleSheetsOptions

Factory: construct a .external_config.GoogleSheetsOptions instance given its API representation.

See more: google.cloud.bigquery.external_config.GoogleSheetsOptions.from_api_repr

google.cloud.bigquery.external_config.GoogleSheetsOptions.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.external_config.GoogleSheetsOptions.to_api_repr

google.cloud.bigquery.external_config.HivePartitioningOptions.from_api_repr

from_api_repr(
    resource: dict,
) -> google.cloud.bigquery.external_config.HivePartitioningOptions

Factory: construct a .external_config.HivePartitioningOptions instance given its API representation.

See more: google.cloud.bigquery.external_config.HivePartitioningOptions.from_api_repr

google.cloud.bigquery.external_config.HivePartitioningOptions.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.external_config.HivePartitioningOptions.to_api_repr

google.cloud.bigquery.format_options.AvroOptions.from_api_repr

from_api_repr(
    resource: typing.Dict[str, bool],
) -> google.cloud.bigquery.format_options.AvroOptions

Factory: construct an instance from a resource dict.

See more: google.cloud.bigquery.format_options.AvroOptions.from_api_repr

google.cloud.bigquery.format_options.AvroOptions.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.format_options.AvroOptions.to_api_repr

google.cloud.bigquery.format_options.ParquetOptions.from_api_repr

from_api_repr(
    resource: typing.Dict[str, bool],
) -> google.cloud.bigquery.format_options.ParquetOptions

Factory: construct an instance from a resource dict.

See more: google.cloud.bigquery.format_options.ParquetOptions.from_api_repr

google.cloud.bigquery.format_options.ParquetOptions.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.format_options.ParquetOptions.to_api_repr

google.cloud.bigquery.job.CopyJob.add_done_callback

add_done_callback(fn)

Add a callback to be executed when the operation is complete.

See more: google.cloud.bigquery.job.CopyJob.add_done_callback

google.cloud.bigquery.job.CopyJob.cancel

cancel(
    client=None,
    retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> bool

API call: cancel job via a POST request.

See more: google.cloud.bigquery.job.CopyJob.cancel

google.cloud.bigquery.job.CopyJob.cancelled

cancelled()

Check if the job has been cancelled.

See more: google.cloud.bigquery.job.CopyJob.cancelled

google.cloud.bigquery.job.CopyJob.done

done(
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = 128,
    reload: bool = True,
) -> bool

Checks if the job is complete.

See more: google.cloud.bigquery.job.CopyJob.done

google.cloud.bigquery.job.CopyJob.exception

exception(timeout=object)

Get the exception from the operation, blocking if necessary.

See more: google.cloud.bigquery.job.CopyJob.exception

google.cloud.bigquery.job.CopyJob.exists

exists(
    client=None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> bool

API call: test for the existence of the job via a GET request.

See more: google.cloud.bigquery.job.CopyJob.exists

google.cloud.bigquery.job.CopyJob.from_api_repr

from_api_repr(resource, client)

Factory: construct a job given its API representation.

See more: google.cloud.bigquery.job.CopyJob.from_api_repr

google.cloud.bigquery.job.CopyJob.reload

reload(
    client=None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = 128,
)

API call: refresh job properties via a GET request.

See more: google.cloud.bigquery.job.CopyJob.reload

google.cloud.bigquery.job.CopyJob.result

result(
    retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.job.base._AsyncJob

Start the job and wait for it to complete and get the result.

See more: google.cloud.bigquery.job.CopyJob.result

google.cloud.bigquery.job.CopyJob.running

running()

True if the operation is currently running.

See more: google.cloud.bigquery.job.CopyJob.running

google.cloud.bigquery.job.CopyJob.set_exception

set_exception(exception)

Set the Future's exception.

See more: google.cloud.bigquery.job.CopyJob.set_exception

google.cloud.bigquery.job.CopyJob.set_result

set_result(result)

Set the Future's result.

See more: google.cloud.bigquery.job.CopyJob.set_result

google.cloud.bigquery.job.CopyJob.to_api_repr

to_api_repr()

Generate a resource for _begin.

See more: google.cloud.bigquery.job.CopyJob.to_api_repr

google.cloud.bigquery.job.CopyJobConfig.setattr

__setattr__(name, value)

Override to be able to raise error if an unknown property is being set.

See more: google.cloud.bigquery.job.CopyJobConfig.setattr

google.cloud.bigquery.job.CopyJobConfig.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.job.base._JobConfig

Factory: construct a job configuration given its API representation .

See more: google.cloud.bigquery.job.CopyJobConfig.from_api_repr

google.cloud.bigquery.job.CopyJobConfig.to_api_repr

to_api_repr() -> dict

Build an API representation of the job config.

See more: google.cloud.bigquery.job.CopyJobConfig.to_api_repr

google.cloud.bigquery.job.DmlStats

DmlStats(
    inserted_row_count: int = 0, deleted_row_count: int = 0, updated_row_count: int = 0
)

Create new instance of DmlStats(inserted_row_count, deleted_row_count, updated_row_count).

See more: google.cloud.bigquery.job.DmlStats

google.cloud.bigquery.job.DmlStats.count

count(value, /)

Return number of occurrences of value.

See more: google.cloud.bigquery.job.DmlStats.count

google.cloud.bigquery.job.DmlStats.index

index(value, start=0, stop=9223372036854775807, /)

Return first index of value.

See more: google.cloud.bigquery.job.DmlStats.index

google.cloud.bigquery.job.ExtractJob.add_done_callback

add_done_callback(fn)

Add a callback to be executed when the operation is complete.

See more: google.cloud.bigquery.job.ExtractJob.add_done_callback

google.cloud.bigquery.job.ExtractJob.cancel

cancel(
    client=None,
    retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> bool

API call: cancel job via a POST request.

See more: google.cloud.bigquery.job.ExtractJob.cancel

google.cloud.bigquery.job.ExtractJob.cancelled

cancelled()

Check if the job has been cancelled.

See more: google.cloud.bigquery.job.ExtractJob.cancelled

google.cloud.bigquery.job.ExtractJob.done

done(
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = 128,
    reload: bool = True,
) -> bool

Checks if the job is complete.

See more: google.cloud.bigquery.job.ExtractJob.done

google.cloud.bigquery.job.ExtractJob.exception

exception(timeout=object)

Get the exception from the operation, blocking if necessary.

See more: google.cloud.bigquery.job.ExtractJob.exception

google.cloud.bigquery.job.ExtractJob.exists

exists(
    client=None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> bool

API call: test for the existence of the job via a GET request.

See more: google.cloud.bigquery.job.ExtractJob.exists

google.cloud.bigquery.job.ExtractJob.from_api_repr

from_api_repr(
    resource: dict, client
) -> google.cloud.bigquery.job.extract.ExtractJob

Factory: construct a job given its API representation.

See more: google.cloud.bigquery.job.ExtractJob.from_api_repr

google.cloud.bigquery.job.ExtractJob.reload

reload(
    client=None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = 128,
)

API call: refresh job properties via a GET request.

See more: google.cloud.bigquery.job.ExtractJob.reload

google.cloud.bigquery.job.ExtractJob.result

result(
    retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.job.base._AsyncJob

Start the job and wait for it to complete and get the result.

See more: google.cloud.bigquery.job.ExtractJob.result

google.cloud.bigquery.job.ExtractJob.running

running()

True if the operation is currently running.

See more: google.cloud.bigquery.job.ExtractJob.running

google.cloud.bigquery.job.ExtractJob.set_exception

set_exception(exception)

Set the Future's exception.

See more: google.cloud.bigquery.job.ExtractJob.set_exception

google.cloud.bigquery.job.ExtractJob.set_result

set_result(result)

Set the Future's result.

See more: google.cloud.bigquery.job.ExtractJob.set_result

google.cloud.bigquery.job.ExtractJob.to_api_repr

to_api_repr()

Generate a resource for _begin.

See more: google.cloud.bigquery.job.ExtractJob.to_api_repr

google.cloud.bigquery.job.ExtractJobConfig.setattr

__setattr__(name, value)

Override to be able to raise error if an unknown property is being set.

See more: google.cloud.bigquery.job.ExtractJobConfig.setattr

google.cloud.bigquery.job.ExtractJobConfig.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.job.base._JobConfig

Factory: construct a job configuration given its API representation .

See more: google.cloud.bigquery.job.ExtractJobConfig.from_api_repr

google.cloud.bigquery.job.ExtractJobConfig.to_api_repr

to_api_repr() -> dict

Build an API representation of the job config.

See more: google.cloud.bigquery.job.ExtractJobConfig.to_api_repr

google.cloud.bigquery.job.IncrementalResultStats.from_api_repr

from_api_repr(resource) -> google.cloud.bigquery.job.query.IncrementalResultStats

Factory: construct instance from the JSON repr.

See more: google.cloud.bigquery.job.IncrementalResultStats.from_api_repr

google.cloud.bigquery.job.LoadJob.add_done_callback

add_done_callback(fn)

Add a callback to be executed when the operation is complete.

See more: google.cloud.bigquery.job.LoadJob.add_done_callback

google.cloud.bigquery.job.LoadJob.cancel

cancel(
    client=None,
    retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> bool

API call: cancel job via a POST request.

See more: google.cloud.bigquery.job.LoadJob.cancel

google.cloud.bigquery.job.LoadJob.cancelled

cancelled()

Check if the job has been cancelled.

See more: google.cloud.bigquery.job.LoadJob.cancelled

google.cloud.bigquery.job.LoadJob.done

done(
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = 128,
    reload: bool = True,
) -> bool

Checks if the job is complete.

See more: google.cloud.bigquery.job.LoadJob.done

google.cloud.bigquery.job.LoadJob.exception

exception(timeout=object)

Get the exception from the operation, blocking if necessary.

See more: google.cloud.bigquery.job.LoadJob.exception

google.cloud.bigquery.job.LoadJob.exists

exists(
    client=None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> bool

API call: test for the existence of the job via a GET request.

See more: google.cloud.bigquery.job.LoadJob.exists

google.cloud.bigquery.job.LoadJob.from_api_repr

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

Factory: construct a job given its API representation.

See more: google.cloud.bigquery.job.LoadJob.from_api_repr

google.cloud.bigquery.job.LoadJob.reload

reload(
    client=None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = 128,
)

API call: refresh job properties via a GET request.

See more: google.cloud.bigquery.job.LoadJob.reload

google.cloud.bigquery.job.LoadJob.result

result(
    retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.job.base._AsyncJob

Start the job and wait for it to complete and get the result.

See more: google.cloud.bigquery.job.LoadJob.result

google.cloud.bigquery.job.LoadJob.running

running()

True if the operation is currently running.

See more: google.cloud.bigquery.job.LoadJob.running

google.cloud.bigquery.job.LoadJob.set_exception

set_exception(exception)

Set the Future's exception.

See more: google.cloud.bigquery.job.LoadJob.set_exception

google.cloud.bigquery.job.LoadJob.set_result

set_result(result)

Set the Future's result.

See more: google.cloud.bigquery.job.LoadJob.set_result

google.cloud.bigquery.job.LoadJob.to_api_repr

to_api_repr()

Generate a resource for _begin.

See more: google.cloud.bigquery.job.LoadJob.to_api_repr

google.cloud.bigquery.job.LoadJobConfig.setattr

__setattr__(name, value)

Override to be able to raise error if an unknown property is being set.

See more: google.cloud.bigquery.job.LoadJobConfig.setattr

google.cloud.bigquery.job.LoadJobConfig.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.job.base._JobConfig

Factory: construct a job configuration given its API representation .

See more: google.cloud.bigquery.job.LoadJobConfig.from_api_repr

google.cloud.bigquery.job.LoadJobConfig.to_api_repr

to_api_repr() -> dict

Build an API representation of the job config.

See more: google.cloud.bigquery.job.LoadJobConfig.to_api_repr

google.cloud.bigquery.job.QueryJob.add_done_callback

add_done_callback(fn)

Add a callback to be executed when the operation is complete.

See more: google.cloud.bigquery.job.QueryJob.add_done_callback

google.cloud.bigquery.job.QueryJob.cancel

cancel(
    client=None,
    retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> bool

API call: cancel job via a POST request.

See more: google.cloud.bigquery.job.QueryJob.cancel

google.cloud.bigquery.job.QueryJob.cancelled

cancelled()

Check if the job has been cancelled.

See more: google.cloud.bigquery.job.QueryJob.cancelled

google.cloud.bigquery.job.QueryJob.done

done(
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = 128,
    reload: bool = True,
) -> bool

Checks if the job is complete.

See more: google.cloud.bigquery.job.QueryJob.done

google.cloud.bigquery.job.QueryJob.exception

exception(timeout=object)

Get the exception from the operation, blocking if necessary.

See more: google.cloud.bigquery.job.QueryJob.exception

google.cloud.bigquery.job.QueryJob.exists

exists(
    client=None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> bool

API call: test for the existence of the job via a GET request.

See more: google.cloud.bigquery.job.QueryJob.exists

google.cloud.bigquery.job.QueryJob.from_api_repr

from_api_repr(resource: dict, client: Client) -> QueryJob

Factory: construct a job given its API representation .

See more: google.cloud.bigquery.job.QueryJob.from_api_repr

google.cloud.bigquery.job.QueryJob.reload

reload(
    client=None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = 128,
)

API call: refresh job properties via a GET request.

See more: google.cloud.bigquery.job.QueryJob.reload

google.cloud.bigquery.job.QueryJob.result

result(
    page_size: typing.Optional[int] = None,
    max_results: typing.Optional[int] = None,
    retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[typing.Union[float, object]] = object,
    start_index: typing.Optional[int] = None,
    job_retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
) -> typing.Union[RowIterator, google.cloud.bigquery.table._EmptyRowIterator]

Start the job and wait for it to complete and get the result.

See more: google.cloud.bigquery.job.QueryJob.result

google.cloud.bigquery.job.QueryJob.running

running()

True if the operation is currently running.

See more: google.cloud.bigquery.job.QueryJob.running

google.cloud.bigquery.job.QueryJob.set_exception

set_exception(exception)

Set the Future's exception.

See more: google.cloud.bigquery.job.QueryJob.set_exception

google.cloud.bigquery.job.QueryJob.set_result

set_result(result)

Set the Future's result.

See more: google.cloud.bigquery.job.QueryJob.set_result

google.cloud.bigquery.job.QueryJob.to_api_repr

to_api_repr()

Generate a resource for _begin.

See more: google.cloud.bigquery.job.QueryJob.to_api_repr

google.cloud.bigquery.job.QueryJob.to_arrow

to_arrow(
    progress_bar_type: typing.Optional[str] = None,
    bqstorage_client: typing.Optional[bigquery_storage.BigQueryReadClient] = None,
    create_bqstorage_client: bool = True,
    max_results: typing.Optional[int] = None,
) -> pyarrow.Table

[Beta] Create a class:pyarrow.Table by loading all pages of a table or query.

See more: google.cloud.bigquery.job.QueryJob.to_arrow

google.cloud.bigquery.job.QueryJob.to_dataframe

to_dataframe(
    bqstorage_client: typing.Optional[bigquery_storage.BigQueryReadClient] = None,
    dtypes: typing.Optional[typing.Dict[str, typing.Any]] = None,
    progress_bar_type: typing.Optional[str] = None,
    create_bqstorage_client: bool = True,
    max_results: typing.Optional[int] = None,
    geography_as_object: bool = False,
    bool_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.BOOL_DTYPE,
    int_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.INT_DTYPE,
    float_dtype: typing.Optional[typing.Any] = None,
    string_dtype: typing.Optional[typing.Any] = None,
    date_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.DATE_DTYPE,
    datetime_dtype: typing.Optional[typing.Any] = None,
    time_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.TIME_DTYPE,
    timestamp_dtype: typing.Optional[typing.Any] = None,
    range_date_dtype: typing.Optional[
        typing.Any
    ] = DefaultPandasDTypes.RANGE_DATE_DTYPE,
    range_datetime_dtype: typing.Optional[
        typing.Any
    ] = DefaultPandasDTypes.RANGE_DATETIME_DTYPE,
    range_timestamp_dtype: typing.Optional[
        typing.Any
    ] = DefaultPandasDTypes.RANGE_TIMESTAMP_DTYPE,
) -> pandas.DataFrame

Return a pandas DataFrame from a QueryJob .

See more: google.cloud.bigquery.job.QueryJob.to_dataframe

google.cloud.bigquery.job.QueryJob.to_geodataframe

to_geodataframe(
    bqstorage_client: typing.Optional[bigquery_storage.BigQueryReadClient] = None,
    dtypes: typing.Optional[typing.Dict[str, typing.Any]] = None,
    progress_bar_type: typing.Optional[str] = None,
    create_bqstorage_client: bool = True,
    max_results: typing.Optional[int] = None,
    geography_column: typing.Optional[str] = None,
    bool_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.BOOL_DTYPE,
    int_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.INT_DTYPE,
    float_dtype: typing.Optional[typing.Any] = None,
    string_dtype: typing.Optional[typing.Any] = None,
) -> geopandas.GeoDataFrame

Return a GeoPandas GeoDataFrame from a QueryJob .

See more: google.cloud.bigquery.job.QueryJob.to_geodataframe

google.cloud.bigquery.job.QueryJobConfig.setattr

__setattr__(name, value)

Override to be able to raise error if an unknown property is being set.

See more: google.cloud.bigquery.job.QueryJobConfig.setattr

google.cloud.bigquery.job.QueryJobConfig.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.job.base._JobConfig

Factory: construct a job configuration given its API representation .

See more: google.cloud.bigquery.job.QueryJobConfig.from_api_repr

google.cloud.bigquery.job.QueryJobConfig.to_api_repr

to_api_repr() -> dict

Build an API representation of the query job config.

See more: google.cloud.bigquery.job.QueryJobConfig.to_api_repr

google.cloud.bigquery.job.QueryPlanEntry.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.job.query.QueryPlanEntry

Factory: construct instance from the JSON repr.

See more: google.cloud.bigquery.job.QueryPlanEntry.from_api_repr

google.cloud.bigquery.job.QueryPlanEntryStep.from_api_repr

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

Factory: construct instance from the JSON repr.

See more: google.cloud.bigquery.job.QueryPlanEntryStep.from_api_repr

google.cloud.bigquery.job.ReservationUsage

ReservationUsage(name, slot_ms)

Create new instance of ReservationUsage(name, slot_ms).

See more: google.cloud.bigquery.job.ReservationUsage

google.cloud.bigquery.job.ReservationUsage.count

count(value, /)

Return number of occurrences of value.

See more: google.cloud.bigquery.job.ReservationUsage.count

google.cloud.bigquery.job.ReservationUsage.index

index(value, start=0, stop=9223372036854775807, /)

Return first index of value.

See more: google.cloud.bigquery.job.ReservationUsage.index

google.cloud.bigquery.job.ScriptOptions.from_api_repr

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

Factory: construct instance from the JSON repr.

See more: google.cloud.bigquery.job.ScriptOptions.from_api_repr

google.cloud.bigquery.job.ScriptOptions.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Construct the API resource representation.

See more: google.cloud.bigquery.job.ScriptOptions.to_api_repr

google.cloud.bigquery.job.TimelineEntry.from_api_repr

from_api_repr(resource)

Factory: construct instance from the JSON repr.

See more: google.cloud.bigquery.job.TimelineEntry.from_api_repr

google.cloud.bigquery.job.TransactionInfo

TransactionInfo(transaction_id: str)

Create new instance of TransactionInfo(transaction_id,).

See more: google.cloud.bigquery.job.TransactionInfo

google.cloud.bigquery.job.TransactionInfo.count

count(value, /)

Return number of occurrences of value.

See more: google.cloud.bigquery.job.TransactionInfo.count

google.cloud.bigquery.job.TransactionInfo.index

index(value, start=0, stop=9223372036854775807, /)

Return first index of value.

See more: google.cloud.bigquery.job.TransactionInfo.index

google.cloud.bigquery.job.UnknownJob.add_done_callback

add_done_callback(fn)

Add a callback to be executed when the operation is complete.

See more: google.cloud.bigquery.job.UnknownJob.add_done_callback

google.cloud.bigquery.job.UnknownJob.cancel

cancel(
    client=None,
    retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> bool

API call: cancel job via a POST request.

See more: google.cloud.bigquery.job.UnknownJob.cancel

google.cloud.bigquery.job.UnknownJob.cancelled

cancelled()

Check if the job has been cancelled.

See more: google.cloud.bigquery.job.UnknownJob.cancelled

google.cloud.bigquery.job.UnknownJob.done

done(
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = 128,
    reload: bool = True,
) -> bool

Checks if the job is complete.

See more: google.cloud.bigquery.job.UnknownJob.done

google.cloud.bigquery.job.UnknownJob.exception

exception(timeout=object)

Get the exception from the operation, blocking if necessary.

See more: google.cloud.bigquery.job.UnknownJob.exception

google.cloud.bigquery.job.UnknownJob.exists

exists(
    client=None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> bool

API call: test for the existence of the job via a GET request.

See more: google.cloud.bigquery.job.UnknownJob.exists

google.cloud.bigquery.job.UnknownJob.from_api_repr

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

Construct an UnknownJob from the JSON representation.

See more: google.cloud.bigquery.job.UnknownJob.from_api_repr

google.cloud.bigquery.job.UnknownJob.reload

reload(
    client=None,
    retry: google.api_core.retry.retry_unary.Retry = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = 128,
)

API call: refresh job properties via a GET request.

See more: google.cloud.bigquery.job.UnknownJob.reload

google.cloud.bigquery.job.UnknownJob.result

result(
    retry: typing.Optional[
        google.api_core.retry.retry_unary.Retry
    ] = google.api_core.retry.retry_unary.Retry,
    timeout: typing.Optional[float] = None,
) -> google.cloud.bigquery.job.base._AsyncJob

Start the job and wait for it to complete and get the result.

See more: google.cloud.bigquery.job.UnknownJob.result

google.cloud.bigquery.job.UnknownJob.running

running()

True if the operation is currently running.

See more: google.cloud.bigquery.job.UnknownJob.running

google.cloud.bigquery.job.UnknownJob.set_exception

set_exception(exception)

Set the Future's exception.

See more: google.cloud.bigquery.job.UnknownJob.set_exception

google.cloud.bigquery.job.UnknownJob.set_result

set_result(result)

Set the Future's result.

See more: google.cloud.bigquery.job.UnknownJob.set_result

google.cloud.bigquery.job.UnknownJob.to_api_repr

to_api_repr()

Generate a resource for the job.

See more: google.cloud.bigquery.job.UnknownJob.to_api_repr

google.cloud.bigquery.job.base.ReservationUsage

ReservationUsage(name, slot_ms)

Create new instance of ReservationUsage(name, slot_ms).

See more: google.cloud.bigquery.job.base.ReservationUsage

google.cloud.bigquery.job.base.TransactionInfo

TransactionInfo(transaction_id: str)

Create new instance of TransactionInfo(transaction_id,).

See more: google.cloud.bigquery.job.base.TransactionInfo

google.cloud.bigquery.job.base.UnknownJob.from_api_repr

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

Construct an UnknownJob from the JSON representation.

See more: google.cloud.bigquery.job.base.UnknownJob.from_api_repr

google.cloud.bigquery.model.Model.from_api_repr

from_api_repr(
    resource: typing.Dict[str, typing.Any],
) -> google.cloud.bigquery.model.Model

Factory: construct a model resource given its API representation .

See more: google.cloud.bigquery.model.Model.from_api_repr

google.cloud.bigquery.model.Model.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Construct the API resource representation of this model.

See more: google.cloud.bigquery.model.Model.to_api_repr

google.cloud.bigquery.model.ModelReference.from_api_repr

from_api_repr(
    resource: typing.Dict[str, typing.Any],
) -> google.cloud.bigquery.model.ModelReference

Factory: construct a model reference given its API representation.

See more: google.cloud.bigquery.model.ModelReference.from_api_repr

google.cloud.bigquery.model.ModelReference.from_string

from_string(
    model_id: str, default_project: typing.Optional[str] = None
) -> google.cloud.bigquery.model.ModelReference

Construct a model reference from model ID string.

See more: google.cloud.bigquery.model.ModelReference.from_string

google.cloud.bigquery.model.ModelReference.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Construct the API resource representation of this model reference.

See more: google.cloud.bigquery.model.ModelReference.to_api_repr

google.cloud.bigquery.model.TransformColumn.from_api_repr

from_api_repr(
    resource: typing.Dict[str, typing.Any],
) -> google.cloud.bigquery.model.TransformColumn

Constructs a transform column feature given its API representation .

See more: google.cloud.bigquery.model.TransformColumn.from_api_repr

google.cloud.bigquery.query.ArrayQueryParameter.from_api_repr

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

Factory: construct parameter from JSON resource.

See more: google.cloud.bigquery.query.ArrayQueryParameter.from_api_repr

google.cloud.bigquery.query.ArrayQueryParameter.positional

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

Factory for positional parameters.

See more: google.cloud.bigquery.query.ArrayQueryParameter.positional

google.cloud.bigquery.query.ArrayQueryParameter.to_api_repr

to_api_repr() -> dict

Construct JSON API representation for the parameter.

See more: google.cloud.bigquery.query.ArrayQueryParameter.to_api_repr

google.cloud.bigquery.query.ArrayQueryParameterType.from_api_repr

from_api_repr(resource)

Factory: construct parameter type from JSON resource.

See more: google.cloud.bigquery.query.ArrayQueryParameterType.from_api_repr

google.cloud.bigquery.query.ArrayQueryParameterType.to_api_repr

to_api_repr()

Construct JSON API representation for the parameter type.

See more: google.cloud.bigquery.query.ArrayQueryParameterType.to_api_repr

google.cloud.bigquery.query.ConnectionProperty.from_api_repr

from_api_repr(resource) -> google.cloud.bigquery.query.ConnectionProperty

Construct xref_ConnectionProperty from JSON resource.

See more: google.cloud.bigquery.query.ConnectionProperty.from_api_repr

google.cloud.bigquery.query.ConnectionProperty.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Construct JSON API representation for the connection property.

See more: google.cloud.bigquery.query.ConnectionProperty.to_api_repr

google.cloud.bigquery.query.RangeQueryParameter.from_api_repr

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

Factory: construct parameter from JSON resource.

See more: google.cloud.bigquery.query.RangeQueryParameter.from_api_repr

google.cloud.bigquery.query.RangeQueryParameter.positional

positional(
    range_element_type, start=None, end=None
) -> google.cloud.bigquery.query.RangeQueryParameter

Factory for positional parameters.

See more: google.cloud.bigquery.query.RangeQueryParameter.positional

google.cloud.bigquery.query.RangeQueryParameter.to_api_repr

to_api_repr() -> dict

Construct JSON API representation for the parameter.

See more: google.cloud.bigquery.query.RangeQueryParameter.to_api_repr

google.cloud.bigquery.query.RangeQueryParameterType.from_api_repr

from_api_repr(resource)

Factory: construct parameter type from JSON resource.

See more: google.cloud.bigquery.query.RangeQueryParameterType.from_api_repr

google.cloud.bigquery.query.RangeQueryParameterType.to_api_repr

to_api_repr()

Construct JSON API representation for the parameter type.

See more: google.cloud.bigquery.query.RangeQueryParameterType.to_api_repr

google.cloud.bigquery.query.RangeQueryParameterType.with_name

with_name(new_name: typing.Optional[str])

Return a copy of the instance with name set to new_name.

See more: google.cloud.bigquery.query.RangeQueryParameterType.with_name

google.cloud.bigquery.query.ScalarQueryParameter.from_api_repr

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

Factory: construct parameter from JSON resource.

See more: google.cloud.bigquery.query.ScalarQueryParameter.from_api_repr

google.cloud.bigquery.query.ScalarQueryParameter.positional

positional(
    type_: typing.Union[str, google.cloud.bigquery.query.ScalarQueryParameterType],
    value: typing.Optional[
        typing.Union[
            str, int, float, decimal.Decimal, bool, datetime.datetime, datetime.date
        ]
    ],
) -> google.cloud.bigquery.query.ScalarQueryParameter

Factory for positional paramater.

See more: google.cloud.bigquery.query.ScalarQueryParameter.positional

google.cloud.bigquery.query.ScalarQueryParameter.to_api_repr

to_api_repr() -> dict

Construct JSON API representation for the parameter.

See more: google.cloud.bigquery.query.ScalarQueryParameter.to_api_repr

google.cloud.bigquery.query.ScalarQueryParameterType.from_api_repr

from_api_repr(resource)

Factory: construct parameter type from JSON resource.

See more: google.cloud.bigquery.query.ScalarQueryParameterType.from_api_repr

google.cloud.bigquery.query.ScalarQueryParameterType.to_api_repr

to_api_repr()

Construct JSON API representation for the parameter type.

See more: google.cloud.bigquery.query.ScalarQueryParameterType.to_api_repr

google.cloud.bigquery.query.ScalarQueryParameterType.with_name

with_name(new_name: typing.Optional[str])

Return a copy of the instance with name set to new_name.

See more: google.cloud.bigquery.query.ScalarQueryParameterType.with_name

google.cloud.bigquery.query.StructQueryParameter.from_api_repr

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

Factory: construct parameter from JSON resource.

See more: google.cloud.bigquery.query.StructQueryParameter.from_api_repr

google.cloud.bigquery.query.StructQueryParameter.positional

positional(*sub_params)

Factory for positional parameters.

See more: google.cloud.bigquery.query.StructQueryParameter.positional

google.cloud.bigquery.query.StructQueryParameter.to_api_repr

to_api_repr() -> dict

Construct JSON API representation for the parameter.

See more: google.cloud.bigquery.query.StructQueryParameter.to_api_repr

google.cloud.bigquery.query.StructQueryParameterType.from_api_repr

from_api_repr(resource)

Factory: construct parameter type from JSON resource.

See more: google.cloud.bigquery.query.StructQueryParameterType.from_api_repr

google.cloud.bigquery.query.StructQueryParameterType.to_api_repr

to_api_repr()

Construct JSON API representation for the parameter type.

See more: google.cloud.bigquery.query.StructQueryParameterType.to_api_repr

google.cloud.bigquery.routine.ExternalRuntimeOptions.from_api_repr

from_api_repr(
    resource: dict,
) -> google.cloud.bigquery.routine.routine.ExternalRuntimeOptions

Factory: construct external runtime options given its API representation.

See more: google.cloud.bigquery.routine.ExternalRuntimeOptions.from_api_repr

google.cloud.bigquery.routine.ExternalRuntimeOptions.to_api_repr

to_api_repr() -> dict

Construct the API resource representation of this ExternalRuntimeOptions.

See more: google.cloud.bigquery.routine.ExternalRuntimeOptions.to_api_repr

google.cloud.bigquery.routine.RemoteFunctionOptions.from_api_repr

from_api_repr(
    resource: dict,
) -> google.cloud.bigquery.routine.routine.RemoteFunctionOptions

Factory: construct remote function options given its API representation.

See more: google.cloud.bigquery.routine.RemoteFunctionOptions.from_api_repr

google.cloud.bigquery.routine.RemoteFunctionOptions.to_api_repr

to_api_repr() -> dict

Construct the API resource representation of this RemoteFunctionOptions.

See more: google.cloud.bigquery.routine.RemoteFunctionOptions.to_api_repr

google.cloud.bigquery.routine.Routine.from_api_repr

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

Factory: construct a routine given its API representation.

See more: google.cloud.bigquery.routine.Routine.from_api_repr

google.cloud.bigquery.routine.Routine.to_api_repr

to_api_repr() -> dict

Construct the API resource representation of this routine.

See more: google.cloud.bigquery.routine.Routine.to_api_repr

google.cloud.bigquery.routine.RoutineArgument.from_api_repr

from_api_repr(
    resource: dict,
) -> google.cloud.bigquery.routine.routine.RoutineArgument

Factory: construct a routine argument given its API representation.

See more: google.cloud.bigquery.routine.RoutineArgument.from_api_repr

google.cloud.bigquery.routine.RoutineArgument.to_api_repr

to_api_repr() -> dict

Construct the API resource representation of this routine argument.

See more: google.cloud.bigquery.routine.RoutineArgument.to_api_repr

google.cloud.bigquery.routine.RoutineReference.eq

__eq__(other)

Two RoutineReferences are equal if they point to the same routine.

See more: google.cloud.bigquery.routine.RoutineReference.eq

google.cloud.bigquery.routine.RoutineReference.str

__str__()

String representation of the reference.

See more: google.cloud.bigquery.routine.RoutineReference.str

google.cloud.bigquery.routine.RoutineReference.from_api_repr

from_api_repr(
    resource: dict,
) -> google.cloud.bigquery.routine.routine.RoutineReference

Factory: construct a routine reference given its API representation.

See more: google.cloud.bigquery.routine.RoutineReference.from_api_repr

google.cloud.bigquery.routine.RoutineReference.from_string

from_string(
    routine_id: str, default_project: typing.Optional[str] = None
) -> google.cloud.bigquery.routine.routine.RoutineReference

Factory: construct a routine reference from routine ID string.

See more: google.cloud.bigquery.routine.RoutineReference.from_string

google.cloud.bigquery.routine.RoutineReference.to_api_repr

to_api_repr() -> dict

Construct the API resource representation of this routine reference.

See more: google.cloud.bigquery.routine.RoutineReference.to_api_repr

google.cloud.bigquery.schema.FieldElementType.from_api_repr

from_api_repr(
    api_repr: typing.Optional[dict],
) -> typing.Optional[google.cloud.bigquery.schema.FieldElementType]

Factory: construct a FieldElementType given its API representation.

See more: google.cloud.bigquery.schema.FieldElementType.from_api_repr

google.cloud.bigquery.schema.FieldElementType.to_api_repr

to_api_repr() -> dict

Construct the API resource representation of this field element type.

See more: google.cloud.bigquery.schema.FieldElementType.to_api_repr

google.cloud.bigquery.schema.ForeignTypeInfo.from_api_repr

from_api_repr(
    api_repr: typing.Dict[str, typing.Any],
) -> google.cloud.bigquery.schema.ForeignTypeInfo

Factory: constructs an instance of the class (cls) given its API representation.

See more: google.cloud.bigquery.schema.ForeignTypeInfo.from_api_repr

google.cloud.bigquery.schema.ForeignTypeInfo.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.schema.ForeignTypeInfo.to_api_repr

google.cloud.bigquery.schema.PolicyTagList.from_api_repr

from_api_repr(api_repr: dict) -> google.cloud.bigquery.schema.PolicyTagList

Return a PolicyTagList object deserialized from a dict.

See more: google.cloud.bigquery.schema.PolicyTagList.from_api_repr

google.cloud.bigquery.schema.PolicyTagList.to_api_repr

to_api_repr() -> dict

Return a dictionary representing this object.

See more: google.cloud.bigquery.schema.PolicyTagList.to_api_repr

google.cloud.bigquery.schema.SchemaField.from_api_repr

from_api_repr(api_repr: dict) -> google.cloud.bigquery.schema.SchemaField

Return a SchemaField object deserialized from a dictionary.

See more: google.cloud.bigquery.schema.SchemaField.from_api_repr

google.cloud.bigquery.schema.SchemaField.to_api_repr

to_api_repr() -> dict

Return a dictionary representing this schema field.

See more: google.cloud.bigquery.schema.SchemaField.to_api_repr

google.cloud.bigquery.schema.SchemaField.to_standard_sql

to_standard_sql() -> google.cloud.bigquery.standard_sql.StandardSqlField

Return the field as the standard SQL field representation object.

See more: google.cloud.bigquery.schema.SchemaField.to_standard_sql

google.cloud.bigquery.schema.SerDeInfo.from_api_repr

from_api_repr(api_repr: dict) -> google.cloud.bigquery.schema.SerDeInfo

Factory: constructs an instance of the class (cls) given its API representation.

See more: google.cloud.bigquery.schema.SerDeInfo.from_api_repr

google.cloud.bigquery.schema.SerDeInfo.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.schema.SerDeInfo.to_api_repr

google.cloud.bigquery.schema.StorageDescriptor.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.schema.StorageDescriptor

Factory: constructs an instance of the class (cls) given its API representation.

See more: google.cloud.bigquery.schema.StorageDescriptor.from_api_repr

google.cloud.bigquery.schema.StorageDescriptor.to_api_repr

to_api_repr() -> dict

Build an API representation of this object.

See more: google.cloud.bigquery.schema.StorageDescriptor.to_api_repr

google.cloud.bigquery.standard_sql.StandardSqlDataType.from_api_repr

from_api_repr(resource: typing.Dict[str, typing.Any])

Construct an SQL data type instance given its API representation.

See more: google.cloud.bigquery.standard_sql.StandardSqlDataType.from_api_repr

google.cloud.bigquery.standard_sql.StandardSqlDataType.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Construct the API resource representation of this SQL data type.

See more: google.cloud.bigquery.standard_sql.StandardSqlDataType.to_api_repr

google.cloud.bigquery.standard_sql.StandardSqlField.from_api_repr

from_api_repr(resource: typing.Dict[str, typing.Any])

Construct an SQL field instance given its API representation.

See more: google.cloud.bigquery.standard_sql.StandardSqlField.from_api_repr

google.cloud.bigquery.standard_sql.StandardSqlField.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Construct the API resource representation of this SQL field.

See more: google.cloud.bigquery.standard_sql.StandardSqlField.to_api_repr

google.cloud.bigquery.standard_sql.StandardSqlStructType.from_api_repr

from_api_repr(
    resource: typing.Dict[str, typing.Any],
) -> google.cloud.bigquery.standard_sql.StandardSqlStructType

Construct an SQL struct type instance given its API representation.

See more: google.cloud.bigquery.standard_sql.StandardSqlStructType.from_api_repr

google.cloud.bigquery.standard_sql.StandardSqlStructType.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Construct the API resource representation of this SQL struct type.

See more: google.cloud.bigquery.standard_sql.StandardSqlStructType.to_api_repr

google.cloud.bigquery.standard_sql.StandardSqlTableType.from_api_repr

from_api_repr(
    resource: typing.Dict[str, typing.Any],
) -> google.cloud.bigquery.standard_sql.StandardSqlTableType

Construct an SQL table type instance given its API representation.

See more: google.cloud.bigquery.standard_sql.StandardSqlTableType.from_api_repr

google.cloud.bigquery.standard_sql.StandardSqlTableType.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Construct the API resource representation of this SQL table type.

See more: google.cloud.bigquery.standard_sql.StandardSqlTableType.to_api_repr

google.cloud.bigquery.table.BigLakeConfiguration.from_api_repr

from_api_repr(
    resource: typing.Dict[str, typing.Any],
) -> google.cloud.bigquery.table.BigLakeConfiguration

Factory: construct a BigLakeConfiguration given its API representation.

See more: google.cloud.bigquery.table.BigLakeConfiguration.from_api_repr

google.cloud.bigquery.table.BigLakeConfiguration.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Construct the API resource representation of this BigLakeConfiguration.

See more: google.cloud.bigquery.table.BigLakeConfiguration.to_api_repr

google.cloud.bigquery.table.ForeignKey.from_api_repr

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

Create an instance from API representation.

See more: google.cloud.bigquery.table.ForeignKey.from_api_repr

google.cloud.bigquery.table.ForeignKey.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Return a dictionary representing this object.

See more: google.cloud.bigquery.table.ForeignKey.to_api_repr

google.cloud.bigquery.table.Row.get

get(key: str, default: typing.Optional[typing.Any] = None) -> typing.Any

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

See more: google.cloud.bigquery.table.Row.get

google.cloud.bigquery.table.Row.items

items() -> typing.Iterable[typing.Tuple[str, typing.Any]]

Return items as (key, value) pairs.

See more: google.cloud.bigquery.table.Row.items

google.cloud.bigquery.table.Row.keys

keys() -> typing.Iterable[str]

Return the keys for using a row as a dict.

See more: google.cloud.bigquery.table.Row.keys

google.cloud.bigquery.table.Row.values

values()

Return the values included in this row.

See more: google.cloud.bigquery.table.Row.values

google.cloud.bigquery.table.RowIterator.to_arrow

to_arrow(
    progress_bar_type: typing.Optional[str] = None,
    bqstorage_client: typing.Optional[bigquery_storage.BigQueryReadClient] = None,
    create_bqstorage_client: bool = True,
) -> pyarrow.Table

[Beta] Create a class:pyarrow.Table by loading all pages of a table or query.

See more: google.cloud.bigquery.table.RowIterator.to_arrow

google.cloud.bigquery.table.RowIterator.to_arrow_iterable

to_arrow_iterable(
    bqstorage_client: typing.Optional[bigquery_storage.BigQueryReadClient] = None,
    max_queue_size: int = object,
    max_stream_count: typing.Optional[int] = None,
) -> typing.Iterator[pyarrow.RecordBatch]

[Beta] Create an iterable of class:pyarrow.RecordBatch, to process the table as a stream.

See more: google.cloud.bigquery.table.RowIterator.to_arrow_iterable

google.cloud.bigquery.table.RowIterator.to_dataframe

to_dataframe(
    bqstorage_client: typing.Optional[bigquery_storage.BigQueryReadClient] = None,
    dtypes: typing.Optional[typing.Dict[str, typing.Any]] = None,
    progress_bar_type: typing.Optional[str] = None,
    create_bqstorage_client: bool = True,
    geography_as_object: bool = False,
    bool_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.BOOL_DTYPE,
    int_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.INT_DTYPE,
    float_dtype: typing.Optional[typing.Any] = None,
    string_dtype: typing.Optional[typing.Any] = None,
    date_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.DATE_DTYPE,
    datetime_dtype: typing.Optional[typing.Any] = None,
    time_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.TIME_DTYPE,
    timestamp_dtype: typing.Optional[typing.Any] = None,
    range_date_dtype: typing.Optional[
        typing.Any
    ] = DefaultPandasDTypes.RANGE_DATE_DTYPE,
    range_datetime_dtype: typing.Optional[
        typing.Any
    ] = DefaultPandasDTypes.RANGE_DATETIME_DTYPE,
    range_timestamp_dtype: typing.Optional[
        typing.Any
    ] = DefaultPandasDTypes.RANGE_TIMESTAMP_DTYPE,
) -> pandas.DataFrame

Create a pandas DataFrame by loading all pages of a query.

See more: google.cloud.bigquery.table.RowIterator.to_dataframe

google.cloud.bigquery.table.RowIterator.to_dataframe_iterable

to_dataframe_iterable(
    bqstorage_client: typing.Optional[bigquery_storage.BigQueryReadClient] = None,
    dtypes: typing.Optional[typing.Dict[str, typing.Any]] = None,
    max_queue_size: int = object,
    max_stream_count: typing.Optional[int] = None,
) -> pandas.DataFrame

Create an iterable of pandas DataFrames, to process the table as a stream.

See more: google.cloud.bigquery.table.RowIterator.to_dataframe_iterable

google.cloud.bigquery.table.RowIterator.to_geodataframe

to_geodataframe(
    bqstorage_client: typing.Optional[bigquery_storage.BigQueryReadClient] = None,
    dtypes: typing.Optional[typing.Dict[str, typing.Any]] = None,
    progress_bar_type: typing.Optional[str] = None,
    create_bqstorage_client: bool = True,
    geography_column: typing.Optional[str] = None,
    bool_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.BOOL_DTYPE,
    int_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.INT_DTYPE,
    float_dtype: typing.Optional[typing.Any] = None,
    string_dtype: typing.Optional[typing.Any] = None,
) -> geopandas.GeoDataFrame

Create a GeoPandas GeoDataFrame by loading all pages of a query.

See more: google.cloud.bigquery.table.RowIterator.to_geodataframe

google.cloud.bigquery.table.Table.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.table.Table

Factory: construct a table given its API representation .

See more: google.cloud.bigquery.table.Table.from_api_repr

google.cloud.bigquery.table.Table.from_string

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

Construct a table from fully-qualified table ID.

See more: google.cloud.bigquery.table.Table.from_string

google.cloud.bigquery.table.Table.to_api_repr

to_api_repr() -> dict

Constructs the API resource of this table .

See more: google.cloud.bigquery.table.Table.to_api_repr

google.cloud.bigquery.table.Table.to_bqstorage

to_bqstorage() -> str

Construct a BigQuery Storage API representation of this table.

See more: google.cloud.bigquery.table.Table.to_bqstorage

google.cloud.bigquery.table.TableConstraints.from_api_repr

from_api_repr(
    resource: typing.Dict[str, typing.Any],
) -> google.cloud.bigquery.table.TableConstraints

Create an instance from API representation.

See more: google.cloud.bigquery.table.TableConstraints.from_api_repr

google.cloud.bigquery.table.TableConstraints.to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Return a dictionary representing this object.

See more: google.cloud.bigquery.table.TableConstraints.to_api_repr

google.cloud.bigquery.table.TableListItem.from_string

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

Construct a table from fully-qualified table ID.

See more: google.cloud.bigquery.table.TableListItem.from_string

google.cloud.bigquery.table.TableListItem.to_api_repr

to_api_repr() -> dict

Constructs the API resource of this table .

See more: google.cloud.bigquery.table.TableListItem.to_api_repr

google.cloud.bigquery.table.TableListItem.to_bqstorage

to_bqstorage() -> str

Construct a BigQuery Storage API representation of this table.

See more: google.cloud.bigquery.table.TableListItem.to_bqstorage

google.cloud.bigquery.table.TableReference.from_api_repr

from_api_repr(resource: dict) -> google.cloud.bigquery.table.TableReference

Factory: construct a table reference given its API representation .

See more: google.cloud.bigquery.table.TableReference.from_api_repr

google.cloud.bigquery.table.TableReference.from_string

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

Construct a table reference from table ID string.

See more: google.cloud.bigquery.table.TableReference.from_string

google.cloud.bigquery.table.TableReference.to_api_repr

to_api_repr() -> dict

Construct the API resource representation of this table reference.

See more: google.cloud.bigquery.table.TableReference.to_api_repr

google.cloud.bigquery.table.TableReference.to_bqstorage

to_bqstorage() -> str

Construct a BigQuery Storage API representation of this table.

See more: google.cloud.bigquery.table.TableReference.to_bqstorage

google.cloud.bigquery.table.TimePartitioning.from_api_repr

from_api_repr(api_repr: dict) -> google.cloud.bigquery.table.TimePartitioning

Return a TimePartitioning object deserialized from a dict.

See more: google.cloud.bigquery.table.TimePartitioning.from_api_repr

google.cloud.bigquery.table.TimePartitioning.to_api_repr

to_api_repr() -> dict

Return a dictionary representing this object.

See more: google.cloud.bigquery.table.TimePartitioning.to_api_repr

Package Methods (3.39.0) Stay organized with collections Save and categorize content based on your preferences.

google.cloud.bigquery.dbapi.Binary

google.cloud.bigquery.dbapi.DateFromTicks

google.cloud.bigquery.dbapi.TimeFromTicks

google.cloud.bigquery.dbapi.TimestampFromTicks

google.cloud.bigquery.dbapi.connect

google.cloud.bigquery.client.Client.cancel_job

google.cloud.bigquery.client.Client.close

google.cloud.bigquery.client.Client.copy_table

google.cloud.bigquery.client.Client.create_dataset

google.cloud.bigquery.client.Client.create_job

google.cloud.bigquery.client.Client.create_routine

google.cloud.bigquery.client.Client.create_table

google.cloud.bigquery.client.Client.dataset

google.cloud.bigquery.client.Client.delete_dataset

google.cloud.bigquery.client.Client.delete_job_metadata

google.cloud.bigquery.client.Client.delete_model

google.cloud.bigquery.client.Client.delete_routine

google.cloud.bigquery.client.Client.delete_table

google.cloud.bigquery.client.Client.extract_table

google.cloud.bigquery.client.Client.get_dataset

google.cloud.bigquery.client.Client.get_iam_policy

google.cloud.bigquery.client.Client.get_job

google.cloud.bigquery.client.Client.get_model

google.cloud.bigquery.client.Client.get_routine

google.cloud.bigquery.client.Client.get_service_account_email

google.cloud.bigquery.client.Client.get_table

google.cloud.bigquery.client.Client.insert_rows

google.cloud.bigquery.client.Client.insert_rows_from_dataframe

google.cloud.bigquery.client.Client.insert_rows_json

google.cloud.bigquery.client.Client.job_from_resource

google.cloud.bigquery.client.Client.list_datasets

google.cloud.bigquery.client.Client.list_jobs

google.cloud.bigquery.client.Client.list_models

google.cloud.bigquery.client.Client.list_partitions

google.cloud.bigquery.client.Client.list_projects

google.cloud.bigquery.client.Client.list_routines

google.cloud.bigquery.client.Client.list_rows

google.cloud.bigquery.client.Client.list_tables

google.cloud.bigquery.client.Client.load_table_from_dataframe

google.cloud.bigquery.client.Client.load_table_from_file

google.cloud.bigquery.client.Client.load_table_from_json

google.cloud.bigquery.client.Client.load_table_from_uri

google.cloud.bigquery.client.Client.query

google.cloud.bigquery.client.Client.query_and_wait

google.cloud.bigquery.client.Client.schema_from_json

google.cloud.bigquery.client.Client.schema_to_json

google.cloud.bigquery.client.Client.set_iam_policy

google.cloud.bigquery.client.Client.update_dataset

google.cloud.bigquery.client.Client.update_model

google.cloud.bigquery.client.Client.update_routine

google.cloud.bigquery.client.Client.update_table

google.cloud.bigquery.client.Project.from_api_repr

google.cloud.bigquery.dataset.AccessEntry.from_api_repr

google.cloud.bigquery.dataset.AccessEntry.to_api_repr

google.cloud.bigquery.dataset.Condition.__eq__

google.cloud.bigquery.dataset.Condition.__hash__

google.cloud.bigquery.dataset.Condition.__ne__

google.cloud.bigquery.dataset.Condition.__repr__

google.cloud.bigquery.dataset.Condition.from_api_repr

google.cloud.bigquery.dataset.Condition.to_api_repr

google.cloud.bigquery.dataset.Dataset.from_api_repr

google.cloud.bigquery.dataset.Dataset.from_string

google.cloud.bigquery.dataset.Dataset.model

google.cloud.bigquery.dataset.Dataset.routine

google.cloud.bigquery.dataset.Dataset.table

google.cloud.bigquery.dataset.Dataset.to_api_repr

google.cloud.bigquery.dataset.DatasetListItem.model

google.cloud.bigquery.dataset.DatasetListItem.routine

google.cloud.bigquery.dataset.DatasetListItem.table

google.cloud.bigquery.dataset.DatasetReference.from_api_repr

google.cloud.bigquery.dataset.DatasetReference.from_string

google.cloud.bigquery.dataset.DatasetReference.model

google.cloud.bigquery.dataset.DatasetReference.routine

google.cloud.bigquery.dataset.DatasetReference.table

google.cloud.bigquery.dataset.DatasetReference.to_api_repr

google.cloud.bigquery.dbapi.Connection.close

google.cloud.bigquery.dbapi.Connection.commit

google.cloud.bigquery.dbapi.Connection.cursor

google.cloud.bigquery.dbapi.Cursor.close

Package Methods (3.39.0)

google.cloud.bigquery.dataset.Condition.eq

google.cloud.bigquery.dataset.Condition.hash

google.cloud.bigquery.dataset.Condition.ne

google.cloud.bigquery.dataset.Condition.repr

google.cloud.bigquery.job.CopyJobConfig.setattr

google.cloud.bigquery.job.ExtractJobConfig.setattr