- 3.27.0 (latest)
- 3.26.0
- 3.25.0
- 3.24.0
- 3.23.1
- 3.22.0
- 3.21.0
- 3.20.1
- 3.19.0
- 3.18.0
- 3.17.2
- 3.16.0
- 3.15.0
- 3.14.1
- 3.13.0
- 3.12.0
- 3.11.4
- 3.4.0
- 3.3.6
- 3.2.0
- 3.1.0
- 3.0.1
- 2.34.4
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.1
- 2.29.0
- 2.28.1
- 2.27.1
- 2.26.0
- 2.25.2
- 2.24.1
- 2.23.3
- 2.22.1
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.1
- 2.15.0
- 2.14.0
- 2.13.1
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.2
- 2.5.0
- 2.4.0
- 2.3.1
- 2.2.0
- 2.1.0
- 2.0.0
- 1.28.2
- 1.27.2
- 1.26.1
- 1.25.0
- 1.24.0
- 1.23.1
- 1.22.0
- 1.21.0
- 1.20.0
- 1.19.0
- 1.18.0
- 1.17.0
- 1.16.0
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.
google.cloud.bigquery.dbapi.TimeFromTicks
TimeFromTicks(ticks, tz=None)
Construct a DB-API time value from the given ticks value.
google.cloud.bigquery.dbapi.TimestampFromTicks
timestamp[, tz] -> tz's local time from POSIX timestamp.
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.__getstate__
__getstate__()
Explicitly state that clients are not pickleable.
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 =
Attempt to cancel a job from a job ID.
google.cloud.bigquery.client.Client.close
close()
Close the underlying transport objects, releasing system resources.
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 =
Copy one or more tables to another 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 =
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 =
Create a new 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 =
[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 =
API call: create a table via a PUT request.
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.
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 =
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 =
[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 =
[Beta] Delete a 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 =
[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 =
Delete a 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 =
Start a job to extract a table into Cloud Storage files.
google.cloud.bigquery.client.Client.from_service_account_info
from_service_account_info(info, *args, **kwargs)
Factory to retrieve JSON credentials while creating client.
See more: google.cloud.bigquery.client.Client.from_service_account_info
google.cloud.bigquery.client.Client.from_service_account_json
from_service_account_json(json_credentials_path, *args, **kwargs)
Factory to retrieve JSON credentials while creating client.
See more: google.cloud.bigquery.client.Client.from_service_account_json
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 =
Fetch the dataset referenced by dataset_ref
.
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 =
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 =
Fetch a job for the project associated with this client.
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 =
[Beta] Fetch the model referenced by model_ref
.
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 =
[Beta] Get the routine referenced by routine_ref
.
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 =
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 =
Fetch the table referenced by 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.
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 =
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 =
List datasets for the project associated with this client.
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 =
List jobs for the project associated with this client.
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 =
[Beta] List models in the dataset.
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 =
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 =
List projects for the project associated with this client.
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 =
[Beta] List routines in the dataset.
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 =
List the rows of the table.
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 =
List tables in the dataset.
google.cloud.bigquery.client.Client.load_table_from_dataframe
load_table_from_dataframe(
dataframe: pandas.DataFrame,
destination: typing.Union[
google.cloud.bigquery.table.Table,
google.cloud.bigquery.table.TableReference,
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,
parquet_compression: str = "snappy",
timeout: typing.Union[None, float, typing.Tuple[float, float]] = None,
) -> google.cloud.bigquery.job.load.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 =
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 =
Run a SQL 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] =
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,
) -> typing.List[google.cloud.bigquery.schema.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: typing.Sequence[google.cloud.bigquery.schema.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 =
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 =
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 =
[Beta] Change some fields of a 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 =
[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], retry: google.api_core.retry.retry_unary.Retry =
Change some fields of a 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.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.
google.cloud.bigquery.dataset.Dataset.model
model(model_id)
Constructs a ModelReference.
google.cloud.bigquery.dataset.Dataset.routine
routine(routine_id)
Constructs a RoutineReference.
google.cloud.bigquery.dataset.Dataset.table
table(table_id: str) -> google.cloud.bigquery.table.TableReference
Constructs a TableReference.
google.cloud.bigquery.dataset.Dataset.to_api_repr
to_api_repr() -> dict
Construct the API resource representation of this dataset .
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.
google.cloud.bigquery.dbapi.Connection.commit
commit()
No-op, but for consistency raise an error if connection is closed.
google.cloud.bigquery.dbapi.Connection.cursor
cursor()
Return a new cursor object.
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.
google.cloud.bigquery.dbapi.Cursor.executemany
executemany(operation, seq_of_parameters)
Prepare and execute a database operation multiple times.
google.cloud.bigquery.dbapi.Cursor.fetchall
fetchall()
Fetch all remaining results from the last execute*()
call.
google.cloud.bigquery.dbapi.Cursor.fetchmany
fetchmany(size=None)
Fetch multiple results from the last execute*()
call.
google.cloud.bigquery.dbapi.Cursor.fetchone
fetchone()
Fetch a single row from the results of the last execute*()
call.
google.cloud.bigquery.dbapi.Cursor.setinputsizes
setinputsizes(sizes)
No-op, but for consistency raise an error if cursor is closed.
google.cloud.bigquery.dbapi.Cursor.setoutputsize
setoutputsize(size, column=None)
No-op, but for consistency raise an error if cursor is closed.
google.cloud.bigquery.dbapi.DataError.with_traceback
Exception.with_traceback(tb) -- set self.traceback to tb and return self.
See more: google.cloud.bigquery.dbapi.DataError.with_traceback
google.cloud.bigquery.dbapi.DatabaseError.with_traceback
Exception.with_traceback(tb) -- set self.traceback to tb and return self.
See more: google.cloud.bigquery.dbapi.DatabaseError.with_traceback
google.cloud.bigquery.dbapi.Error.with_traceback
Exception.with_traceback(tb) -- set self.traceback to tb and return self.
google.cloud.bigquery.dbapi.IntegrityError.with_traceback
Exception.with_traceback(tb) -- set self.traceback to tb and return self.
See more: google.cloud.bigquery.dbapi.IntegrityError.with_traceback
google.cloud.bigquery.dbapi.InterfaceError.with_traceback
Exception.with_traceback(tb) -- set self.traceback to tb and return self.
See more: google.cloud.bigquery.dbapi.InterfaceError.with_traceback
google.cloud.bigquery.dbapi.InternalError.with_traceback
Exception.with_traceback(tb) -- set self.traceback to tb and return self.
See more: google.cloud.bigquery.dbapi.InternalError.with_traceback
google.cloud.bigquery.dbapi.NotSupportedError.with_traceback
Exception.with_traceback(tb) -- set self.traceback to tb and return self.
See more: google.cloud.bigquery.dbapi.NotSupportedError.with_traceback
google.cloud.bigquery.dbapi.OperationalError.with_traceback
Exception.with_traceback(tb) -- set self.traceback to tb and return self.
See more: google.cloud.bigquery.dbapi.OperationalError.with_traceback
google.cloud.bigquery.dbapi.ProgrammingError.with_traceback
Exception.with_traceback(tb) -- set self.traceback to tb and return self.
See more: google.cloud.bigquery.dbapi.ProgrammingError.with_traceback
google.cloud.bigquery.dbapi.Warning.with_traceback
Exception.with_traceback(tb) -- set self.traceback to tb and return self.
See more: google.cloud.bigquery.dbapi.Warning.with_traceback
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.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] =
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.
google.cloud.bigquery.job.CopyJob.done
done(retry: google.api_core.retry.retry_unary.Retry =
Checks if the job is complete.
See more: google.cloud.bigquery.job.CopyJob.done
google.cloud.bigquery.job.CopyJob.exception
exception(timeout=
Get the exception from the operation, blocking if necessary.
google.cloud.bigquery.job.CopyJob.exists
exists(client=None, retry: google.api_core.retry.retry_unary.Retry =
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.
google.cloud.bigquery.job.CopyJob.reload
reload(client=None, retry: google.api_core.retry.retry_unary.Retry =
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] =
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.
google.cloud.bigquery.job.CopyJob.set_exception
set_exception(exception)
Set the Future's exception.
google.cloud.bigquery.job.CopyJob.set_result
set_result(result)
Set the Future's result.
google.cloud.bigquery.job.CopyJob.to_api_repr
to_api_repr()
Generate a resource for _begin
.
google.cloud.bigquery.job.CopyJobConfig.__setattr__
__setattr__(name, value)
Override to be able to raise error if an unknown property is being set.
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] =
API call: cancel job via a POST request.
google.cloud.bigquery.job.ExtractJob.cancelled
cancelled()
Check if the job has been cancelled.
google.cloud.bigquery.job.ExtractJob.done
done(retry: google.api_core.retry.retry_unary.Retry =
Checks if the job is complete.
google.cloud.bigquery.job.ExtractJob.exception
exception(timeout=
Get the exception from the operation, blocking if necessary.
google.cloud.bigquery.job.ExtractJob.exists
exists(client=None, retry: google.api_core.retry.retry_unary.Retry =
API call: test for the existence of the job via a GET request.
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 =
API call: refresh job properties via a GET request.
google.cloud.bigquery.job.ExtractJob.result
result(retry: typing.Optional[google.api_core.retry.retry_unary.Retry] =
Start the job and wait for it to complete and get the result.
google.cloud.bigquery.job.ExtractJob.running
running()
True if the operation is currently 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.
google.cloud.bigquery.job.ExtractJob.to_api_repr
to_api_repr()
Generate a resource for _begin
.
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.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] =
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.
google.cloud.bigquery.job.LoadJob.done
done(retry: google.api_core.retry.retry_unary.Retry =
Checks if the job is complete.
See more: google.cloud.bigquery.job.LoadJob.done
google.cloud.bigquery.job.LoadJob.exception
exception(timeout=
Get the exception from the operation, blocking if necessary.
google.cloud.bigquery.job.LoadJob.exists
exists(client=None, retry: google.api_core.retry.retry_unary.Retry =
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.
google.cloud.bigquery.job.LoadJob.reload
reload(client=None, retry: google.api_core.retry.retry_unary.Retry =
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] =
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.
google.cloud.bigquery.job.LoadJob.set_exception
set_exception(exception)
Set the Future's exception.
google.cloud.bigquery.job.LoadJob.set_result
set_result(result)
Set the Future's result.
google.cloud.bigquery.job.LoadJob.to_api_repr
to_api_repr()
Generate a resource for _begin
.
google.cloud.bigquery.job.LoadJobConfig.__setattr__
__setattr__(name, value)
Override to be able to raise error if an unknown property is being set.
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] =
API call: cancel job via a POST request.
google.cloud.bigquery.job.QueryJob.cancelled
cancelled()
Check if the job has been cancelled.
google.cloud.bigquery.job.QueryJob.done
done(retry: google.api_core.retry.retry_unary.Retry =
Checks if the job is complete.
See more: google.cloud.bigquery.job.QueryJob.done
google.cloud.bigquery.job.QueryJob.exception
exception(timeout=
Get the exception from the operation, blocking if necessary.
google.cloud.bigquery.job.QueryJob.exists
exists(client=None, retry: google.api_core.retry.retry_unary.Retry =
API call: test for the existence of the job via a GET request.
google.cloud.bigquery.job.QueryJob.from_api_repr
from_api_repr(resource: dict, client: Client) -> QueryJob
Factory: construct a job given its API representation .
google.cloud.bigquery.job.QueryJob.reload
reload(client=None, retry: google.api_core.retry.retry_unary.Retry =
API call: refresh job properties via a GET request.
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] =
Start the job and wait for it to complete and get the result.
google.cloud.bigquery.job.QueryJob.running
running()
True if the operation is currently running.
google.cloud.bigquery.job.QueryJob.set_exception
set_exception(exception)
Set the Future's exception.
google.cloud.bigquery.job.QueryJob.set_result
set_result(result)
Set the Future's result.
google.cloud.bigquery.job.QueryJob.to_api_repr
to_api_repr()
Generate a resource for _begin
.
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.
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 .
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,
) -> 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.
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).
google.cloud.bigquery.job.ReservationUsage.count
count(value, /)
Return number of occurrences of value.
google.cloud.bigquery.job.ReservationUsage.index
index(value, start=0, stop=9223372036854775807, /)
Return first index of value.
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,).
google.cloud.bigquery.job.TransactionInfo.count
count(value, /)
Return number of occurrences of value.
google.cloud.bigquery.job.TransactionInfo.index
index(value, start=0, stop=9223372036854775807, /)
Return first index of value.
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] =
API call: cancel job via a POST request.
google.cloud.bigquery.job.UnknownJob.cancelled
cancelled()
Check if the job has been cancelled.
google.cloud.bigquery.job.UnknownJob.done
done(retry: google.api_core.retry.retry_unary.Retry =
Checks if the job is complete.
google.cloud.bigquery.job.UnknownJob.exception
exception(timeout=
Get the exception from the operation, blocking if necessary.
google.cloud.bigquery.job.UnknownJob.exists
exists(client=None, retry: google.api_core.retry.retry_unary.Retry =
API call: test for the existence of the job via a GET request.
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 =
API call: refresh job properties via a GET request.
google.cloud.bigquery.job.UnknownJob.result
result(retry: typing.Optional[google.api_core.retry.retry_unary.Retry] =
Start the job and wait for it to complete and get the result.
google.cloud.bigquery.job.UnknownJob.running
running()
True if the operation is currently 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.
google.cloud.bigquery.job.UnknownJob.to_api_repr
to_api_repr()
Generate a resource for the job.
google.cloud.bigquery.job.base.ReservationUsage
ReservationUsage(name, slot_ms)
Create new instance of ReservationUsage(name, slot_ms).
google.cloud.bigquery.job.base.ReservationUsage.count
count(value, /)
Return number of occurrences of value.
See more: google.cloud.bigquery.job.base.ReservationUsage.count
google.cloud.bigquery.job.base.ReservationUsage.index
index(value, start=0, stop=9223372036854775807, /)
Return first index of value.
See more: google.cloud.bigquery.job.base.ReservationUsage.index
google.cloud.bigquery.job.base.TransactionInfo
TransactionInfo(transaction_id: str)
Create new instance of TransactionInfo(transaction_id,).
google.cloud.bigquery.job.base.TransactionInfo.count
count(value, /)
Return number of occurrences of value.
See more: google.cloud.bigquery.job.base.TransactionInfo.count
google.cloud.bigquery.job.base.TransactionInfo.index
index(value, start=0, stop=9223372036854775807, /)
Return first index of value.
See more: google.cloud.bigquery.job.base.TransactionInfo.index
google.cloud.bigquery.job.base.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.base.UnknownJob.add_done_callback
google.cloud.bigquery.job.base.UnknownJob.cancel
cancel(client=None, retry: typing.Optional[google.api_core.retry.retry_unary.Retry] =
API call: cancel job via a POST request.
google.cloud.bigquery.job.base.UnknownJob.cancelled
cancelled()
Check if the job has been cancelled.
See more: google.cloud.bigquery.job.base.UnknownJob.cancelled
google.cloud.bigquery.job.base.UnknownJob.done
done(retry: google.api_core.retry.retry_unary.Retry =
Checks if the job is complete.
google.cloud.bigquery.job.base.UnknownJob.exception
exception(timeout=
Get the exception from the operation, blocking if necessary.
See more: google.cloud.bigquery.job.base.UnknownJob.exception
google.cloud.bigquery.job.base.UnknownJob.exists
exists(client=None, retry: google.api_core.retry.retry_unary.Retry =
API call: test for the existence of the job via a GET request.
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.job.base.UnknownJob.reload
reload(client=None, retry: google.api_core.retry.retry_unary.Retry =
API call: refresh job properties via a GET request.
google.cloud.bigquery.job.base.UnknownJob.result
result(retry: typing.Optional[google.api_core.retry.retry_unary.Retry] =
Start the job and wait for it to complete and get the result.
google.cloud.bigquery.job.base.UnknownJob.running
running()
True if the operation is currently running.
google.cloud.bigquery.job.base.UnknownJob.set_exception
set_exception(exception)
Set the Future's exception.
See more: google.cloud.bigquery.job.base.UnknownJob.set_exception
google.cloud.bigquery.job.base.UnknownJob.set_result
set_result(result)
Set the Future's result.
See more: google.cloud.bigquery.job.base.UnknownJob.set_result
google.cloud.bigquery.job.base.UnknownJob.to_api_repr
to_api_repr()
Generate a resource for the job.
See more: google.cloud.bigquery.job.base.UnknownJob.to_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 .
google.cloud.bigquery.model.Model.to_api_repr
to_api_repr() -> typing.Dict[str, typing.Any]
Construct the API resource representation of this model.
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.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.
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.
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.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.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.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.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.__iter__
__iter__()
Iterator for each item returned.
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.
google.cloud.bigquery.table.RowIterator.to_arrow_iterable
to_arrow_iterable(bqstorage_client: typing.Optional[bigquery_storage.BigQueryReadClient] = None, max_queue_size: int =
[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 =
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,
) -> 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 .
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.
google.cloud.bigquery.table.Table.to_api_repr
to_api_repr() -> dict
Constructs the API resource of this table .
google.cloud.bigquery.table.Table.to_bqstorage
to_bqstorage() -> str
Construct a BigQuery Storage API representation of this table.
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.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
google.cloud.bigquery_v2.types.DeleteModelRequest.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.DeleteModelRequest.delattr
google.cloud.bigquery_v2.types.DeleteModelRequest.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.DeleteModelRequest.eq
google.cloud.bigquery_v2.types.DeleteModelRequest.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.DeleteModelRequest.ne
google.cloud.bigquery_v2.types.DeleteModelRequest.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.DeleteModelRequest.setattr
google.cloud.bigquery_v2.types.EncryptionConfiguration.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.EncryptionConfiguration.delattr
google.cloud.bigquery_v2.types.EncryptionConfiguration.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.EncryptionConfiguration.eq
google.cloud.bigquery_v2.types.EncryptionConfiguration.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.EncryptionConfiguration.ne
google.cloud.bigquery_v2.types.EncryptionConfiguration.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.EncryptionConfiguration.setattr
google.cloud.bigquery_v2.types.GetModelRequest.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.GetModelRequest.delattr
google.cloud.bigquery_v2.types.GetModelRequest.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
google.cloud.bigquery_v2.types.GetModelRequest.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
google.cloud.bigquery_v2.types.GetModelRequest.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.GetModelRequest.setattr
google.cloud.bigquery_v2.types.ListModelsRequest.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.ListModelsRequest.delattr
google.cloud.bigquery_v2.types.ListModelsRequest.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.ListModelsRequest.eq
google.cloud.bigquery_v2.types.ListModelsRequest.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.ListModelsRequest.ne
google.cloud.bigquery_v2.types.ListModelsRequest.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.ListModelsRequest.setattr
google.cloud.bigquery_v2.types.ListModelsResponse.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.ListModelsResponse.delattr
google.cloud.bigquery_v2.types.ListModelsResponse.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.ListModelsResponse.eq
google.cloud.bigquery_v2.types.ListModelsResponse.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.ListModelsResponse.ne
google.cloud.bigquery_v2.types.ListModelsResponse.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.ListModelsResponse.setattr
google.cloud.bigquery_v2.types.Model.__delattr__
__delattr__(key)
Delete the value on the given field.
google.cloud.bigquery_v2.types.Model.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.eq
google.cloud.bigquery_v2.types.Model.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ne
google.cloud.bigquery_v2.types.Model.__setattr__
__setattr__(key, value)
Set the value on the given field.
google.cloud.bigquery_v2.types.Model.AggregateClassificationMetrics.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.AggregateClassificationMetrics.delattr
google.cloud.bigquery_v2.types.Model.AggregateClassificationMetrics.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.AggregateClassificationMetrics.eq
google.cloud.bigquery_v2.types.Model.AggregateClassificationMetrics.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.AggregateClassificationMetrics.ne
google.cloud.bigquery_v2.types.Model.AggregateClassificationMetrics.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.AggregateClassificationMetrics.setattr
google.cloud.bigquery_v2.types.Model.ArimaFittingMetrics.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ArimaFittingMetrics.delattr
google.cloud.bigquery_v2.types.Model.ArimaFittingMetrics.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ArimaFittingMetrics.eq
google.cloud.bigquery_v2.types.Model.ArimaFittingMetrics.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ArimaFittingMetrics.ne
google.cloud.bigquery_v2.types.Model.ArimaFittingMetrics.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ArimaFittingMetrics.setattr
google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.delattr
google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.eq
google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.ne
google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.setattr
google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.ArimaSingleModelForecastingMetrics.__delattr__
__delattr__(key)
Delete the value on the given field.
google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.ArimaSingleModelForecastingMetrics.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.ArimaSingleModelForecastingMetrics.eq
google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.ArimaSingleModelForecastingMetrics.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.ArimaSingleModelForecastingMetrics.ne
google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics.ArimaSingleModelForecastingMetrics.__setattr__
__setattr__(key, value)
Set the value on the given field.
google.cloud.bigquery_v2.types.Model.ArimaOrder.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ArimaOrder.delattr
google.cloud.bigquery_v2.types.Model.ArimaOrder.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ArimaOrder.eq
google.cloud.bigquery_v2.types.Model.ArimaOrder.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ArimaOrder.ne
google.cloud.bigquery_v2.types.Model.ArimaOrder.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ArimaOrder.setattr
google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.delattr
google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.eq
google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.ne
google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.setattr
google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.BinaryConfusionMatrix.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.BinaryConfusionMatrix.delattr
google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.BinaryConfusionMatrix.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.BinaryConfusionMatrix.eq
google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.BinaryConfusionMatrix.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.BinaryConfusionMatrix.ne
google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.BinaryConfusionMatrix.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics.BinaryConfusionMatrix.setattr
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.delattr
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.eq
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.ne
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.setattr
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.delattr
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.eq
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.ne
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.setattr
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.delattr
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.eq
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.ne
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.setattr
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.delattr
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.eq
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.ne
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.setattr
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.CategoryCount.__delattr__
__delattr__(key)
Delete the value on the given field.
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.CategoryCount.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.CategoryCount.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.CategoryCount.__setattr__
__setattr__(key, value)
Set the value on the given field.
google.cloud.bigquery_v2.types.Model.DataSplitResult.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.DataSplitResult.delattr
google.cloud.bigquery_v2.types.Model.DataSplitResult.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.DataSplitResult.eq
google.cloud.bigquery_v2.types.Model.DataSplitResult.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.DataSplitResult.ne
google.cloud.bigquery_v2.types.Model.DataSplitResult.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.DataSplitResult.setattr
google.cloud.bigquery_v2.types.Model.EvaluationMetrics.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.EvaluationMetrics.delattr
google.cloud.bigquery_v2.types.Model.EvaluationMetrics.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.EvaluationMetrics.eq
google.cloud.bigquery_v2.types.Model.EvaluationMetrics.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.EvaluationMetrics.ne
google.cloud.bigquery_v2.types.Model.EvaluationMetrics.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.EvaluationMetrics.setattr
google.cloud.bigquery_v2.types.Model.GlobalExplanation.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.GlobalExplanation.delattr
google.cloud.bigquery_v2.types.Model.GlobalExplanation.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.GlobalExplanation.eq
google.cloud.bigquery_v2.types.Model.GlobalExplanation.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.GlobalExplanation.ne
google.cloud.bigquery_v2.types.Model.GlobalExplanation.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.GlobalExplanation.setattr
google.cloud.bigquery_v2.types.Model.GlobalExplanation.Explanation.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.GlobalExplanation.Explanation.delattr
google.cloud.bigquery_v2.types.Model.GlobalExplanation.Explanation.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.GlobalExplanation.Explanation.eq
google.cloud.bigquery_v2.types.Model.GlobalExplanation.Explanation.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.GlobalExplanation.Explanation.ne
google.cloud.bigquery_v2.types.Model.GlobalExplanation.Explanation.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.GlobalExplanation.Explanation.setattr
google.cloud.bigquery_v2.types.Model.KmeansEnums.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.KmeansEnums.delattr
google.cloud.bigquery_v2.types.Model.KmeansEnums.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.KmeansEnums.eq
google.cloud.bigquery_v2.types.Model.KmeansEnums.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.KmeansEnums.ne
google.cloud.bigquery_v2.types.Model.KmeansEnums.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.KmeansEnums.setattr
google.cloud.bigquery_v2.types.Model.LabelsEntry.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.LabelsEntry.delattr
google.cloud.bigquery_v2.types.Model.LabelsEntry.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.LabelsEntry.eq
google.cloud.bigquery_v2.types.Model.LabelsEntry.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.LabelsEntry.ne
google.cloud.bigquery_v2.types.Model.LabelsEntry.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.LabelsEntry.setattr
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.delattr
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.eq
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ne
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.setattr
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.delattr
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.eq
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.ne
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.setattr
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Entry.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Entry.delattr
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Entry.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Entry.eq
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Entry.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Entry.ne
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Entry.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Entry.setattr
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row.delattr
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row.eq
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row.ne
google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row.setattr
google.cloud.bigquery_v2.types.Model.RankingMetrics.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.RankingMetrics.delattr
google.cloud.bigquery_v2.types.Model.RankingMetrics.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.RankingMetrics.eq
google.cloud.bigquery_v2.types.Model.RankingMetrics.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.RankingMetrics.ne
google.cloud.bigquery_v2.types.Model.RankingMetrics.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.RankingMetrics.setattr
google.cloud.bigquery_v2.types.Model.RegressionMetrics.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.RegressionMetrics.delattr
google.cloud.bigquery_v2.types.Model.RegressionMetrics.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.RegressionMetrics.eq
google.cloud.bigquery_v2.types.Model.RegressionMetrics.__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.RegressionMetrics.ne
google.cloud.bigquery_v2.types.Model.RegressionMetrics.__setattr__
__setattr__(key, value)
Set the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.RegressionMetrics.setattr
google.cloud.bigquery_v2.types.Model.SeasonalPeriod.__delattr__
__delattr__(key)
Delete the value on the given field.
See more: google.cloud.bigquery_v2.types.Model.SeasonalPeriod.delattr
google.cloud.bigquery_v2.types.Model.SeasonalPeriod.__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
See more: google.cloud.bigquery_v2.types.Model.SeasonalPeriod.eq