Class Client (1.26.1)

Version 1.26.1

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Client(
    project=None,
    credentials=None,
    _http=None,
    location=None,
    default_query_job_config=None,
    client_info=None,
    client_options=None,
)

Client to bundle configuration needed for API requests.

Parameters

Name	Description
project	Optional[str] Project ID for the project which the client acts on behalf of. Will be passed when creating a dataset / job. If not passed, falls back to the default inferred from the environment.
credentials	Optional[google.auth.credentials.Credentials] The OAuth2 Credentials to use for this client. If not passed (and if no _http object is passed), falls back to the default inferred from the environment.
_http	Optional[requests.Session] HTTP object to make requests. Can be any object that defines request() with the same interface as requests.Session.request. If not passed, an _http object is created that is bound to the credentials for the current object. This parameter should be considered private, and could change in the future.
location	Optional[str] Default location for jobs / datasets / tables.
default_query_job_config	Optional[google.cloud.bigquery.job.QueryJobConfig] Default QueryJobConfig. Will be merged into job configs passed into the query method.
client_info	Optional[google.api_core.client_info.ClientInfo] The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you're developing your own library or partner tool.
client_options	Optional[Union[google.api_core.client_options.ClientOptions, Dict]] Client options used to set user options on the client. API Endpoint should be set through client_options.

Inheritance

builtins.object > google.cloud.client._ClientFactoryMixin > google.cloud.client.Client > builtins.object > google.cloud.client._ClientProjectMixin > google.cloud.client.ClientWithProject > Client

Properties

location

Default location for jobs / datasets / tables.

Methods

__getstate__

__getstate__()

Explicitly state that clients are not pickleable.

cancel_job

cancel_job(job_id, project=None, location=None, retry=<google.api_core.retry.Retry object>, timeout=None)

Attempt to cancel a job from a job ID.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/cancel

Parameter

Name

Description

job_id

str :keyword project: ID of the project which owns the job (defaults to the client's project). :kwtype project: Optional[str] :keyword location: Location where the job was run. :kwtype location: Optional[str] :keyword retry: How to retry the RPC. :kwtype retry: Optional[google.api_core.retry.Retry] :keyword timeout: The number of seconds to wait for the underlying HTTP transport before using ``retry``. :kwtype timeout: Optional[float] Unique job identifier.

Returns

Type	Description
Union[ google.cloud.bigquery.job.LoadJob, google.cloud.bigquery.job.CopyJob, google.cloud.bigquery.job.ExtractJob, google.cloud.bigquery.job.QueryJob, ]	Job instance, based on the resource returned by the API.

close

close()

Close the underlying transport objects, releasing system resources.

Note: The client instance can be used for making additional requests even after closing, in which case the underlying connections are automatically re-created.

copy_table

copy_table(sources, destination, job_id=None, job_id_prefix=None, location=None, project=None, job_config=None, retry=<google.api_core.retry.Retry object>, timeout=None)

Copy one or more tables to another table.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#jobconfigurationtablecopy

Parameters

Name	Description
sources	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, Sequence[ Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, ] ], ] Table or tables to be copied.
destination	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, ] :keyword job_id: The ID of the job. :kwtype job_id: Optional[str] :keyword job_id_prefix: The user-provided prefix for a randomly generated job ID. This parameter will be ignored if a ``job_id`` is also given. :kwtype job_id_prefix: Optional[str] :keyword location: Location where to run the job. Must match the location of any source table as well as the destination table. :kwtype location: Optional[str] :keyword project: Project ID of the project of where to run the job. Defaults to the client's project. :kwtype project: Optional[str] :keyword job_config: Extra configuration options for the job. :kwtype job_config: Optional[google.cloud.bigquery.job.CopyJobConfig] :keyword retry: How to retry the RPC. :kwtype retry: Optional[google.api_core.retry.Retry] :keyword timeout: The number of seconds to wait for the underlying HTTP transport before using ``retry``. :kwtype timeout: Optional[float] Table into which data is to be copied.

Exceptions

Type	Description
TypeError	If ``job_config`` is not an instance of CopyJobConfig class.

Returns

Type	Description
google.cloud.bigquery.job.CopyJob	A new copy job instance.

create_dataset

create_dataset(dataset, exists_ok=False, retry=<google.api_core.retry.Retry object>, timeout=None)

API call: create the dataset via a POST request.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets/insert

Parameters

Name	Description
dataset	Union[ google.cloud.bigquery.dataset.Dataset, google.cloud.bigquery.dataset.DatasetReference, str, ] A Dataset to create. If dataset is a reference, an empty dataset is created with the specified ID and client's default location.
exists_ok	Optional[bool] Defaults to False. If True, ignore "already exists" errors when creating the dataset.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Exceptions

Type	Description
google.cloud.exceptions.Conflict	If the dataset already exists. .. rubric:: Example >>> from google.cloud import bigquery >>> client = bigquery.Client() >>> dataset = bigquery.Dataset('my_project.my_dataset') >>> dataset = client.create_dataset(dataset)

Returns

Type	Description
google.cloud.bigquery.dataset.Dataset	A new ``Dataset`` returned from the API.

create_job

create_job(job_config, retry=<google.api_core.retry.Retry object>)

Create a new job.

Parameter

Name	Description
job_config	dict :keyword retry: How to retry the RPC. :kwtype retry: Optional[google.api_core.retry.Retry] configuration job representation returned from the API.

Returns

Type	Description
Union[ google.cloud.bigquery.job.LoadJob, google.cloud.bigquery.job.CopyJob, google.cloud.bigquery.job.ExtractJob, google.cloud.bigquery.job.QueryJob ]	A new job instance.

create_routine

create_routine(routine, exists_ok=False, retry=<google.api_core.retry.Retry object>, timeout=None)

[Beta] Create a routine via a POST request.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/routines/insert

Parameters

Name	Description
routine	google.cloud.bigquery.routine.Routine A Routine to create. The dataset that the routine belongs to must already exist.
exists_ok	Optional[bool] Defaults to False. If True, ignore "already exists" errors when creating the routine.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Exceptions

Type	Description
google.cloud.exceptions.Conflict	If the routine already exists.

Returns

Type	Description
google.cloud.bigquery.routine.Routine	A new ``Routine`` returned from the service.

create_table

create_table(table, exists_ok=False, retry=<google.api_core.retry.Retry object>, timeout=None)

API call: create a table via a PUT request

See https://cloud.google.com/bigquery/docs/reference/rest/v2/tables/insert

Parameters

Name	Description
table	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, ] A Table to create. If table is a reference, an empty table is created with the specified ID. The dataset that the table belongs to must already exist.
exists_ok	Optional[bool] Defaults to False. If True, ignore "already exists" errors when creating the table.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Exceptions

Type	Description
google.cloud.exceptions.Conflict	If the table already exists.

Returns

Type	Description
google.cloud.bigquery.table.Table	A new ``Table`` returned from the service.

dataset

dataset(dataset_id, project=None)

Deprecated: Construct a reference to a dataset.

deprecated: Construct a xref_DatasetReference using its constructor or use a string where previously a reference object was used.

As of google-cloud-bigquery version 1.7.0, all client methods that take a xref_DatasetReference or xref_TableReference also take a string in standard SQL format, e.g. project.dataset_id or project.dataset_id.table_id.

Parameters

Name	Description
dataset_id	str ID of the dataset.
project	Optional[str] Project ID for the dataset (defaults to the project of the client).

Returns

Type	Description
google.cloud.bigquery.dataset.DatasetReference	a new ``DatasetReference`` instance.

delete_dataset

delete_dataset(dataset, delete_contents=False, retry=<google.api_core.retry.Retry object>, timeout=None, not_found_ok=False)

Delete a dataset.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets/delete

Parameters

Name	Description
dataset	Union[ google.cloud.bigquery.dataset.Dataset, google.cloud.bigquery.dataset.DatasetReference, str, ] A reference to the dataset to delete. If a string is passed in, this method attempts to create a dataset reference from a string using from_string.
delete_contents	Optional[bool] If True, delete all the tables in the dataset. If False and the dataset contains tables, the request will fail. Default is False.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.
not_found_ok	Optional[bool] Defaults to False. If True, ignore "not found" errors when deleting the dataset.

delete_model

delete_model(model, retry=<google.api_core.retry.Retry object>, timeout=None, not_found_ok=False)

[Beta] Delete a model

See https://cloud.google.com/bigquery/docs/reference/rest/v2/models/delete

Parameters

Name	Description
model	Union[ google.cloud.bigquery.model.Model, google.cloud.bigquery.model.ModelReference, str, ] A reference to the model to delete. If a string is passed in, this method attempts to create a model reference from a string using from_string.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.
not_found_ok	Optional[bool] Defaults to False. If True, ignore "not found" errors when deleting the model.

delete_routine

delete_routine(routine, retry=<google.api_core.retry.Retry object>, timeout=None, not_found_ok=False)

[Beta] Delete a routine.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/routines/delete

Parameters

Name	Description
routine	Union[ google.cloud.bigquery.routine.Routine, google.cloud.bigquery.routine.RoutineReference, str, ] A reference to the routine to delete. If a string is passed in, this method attempts to create a routine reference from a string using from_string.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.
not_found_ok	Optional[bool] Defaults to False. If True, ignore "not found" errors when deleting the routine.

delete_table

delete_table(table, retry=<google.api_core.retry.Retry object>, timeout=None, not_found_ok=False)

Delete a table

See https://cloud.google.com/bigquery/docs/reference/rest/v2/tables/delete

Parameters

Name	Description
table	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, ] A reference to the table to delete. If a string is passed in, this method attempts to create a table reference from a string using from_string.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.
not_found_ok	Optional[bool] Defaults to False. If True, ignore "not found" errors when deleting the table.

extract_table

extract_table(source, destination_uris, job_id=None, job_id_prefix=None, location=None, project=None, job_config=None, retry=<google.api_core.retry.Retry object>, timeout=None, source_type='Table')

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

See https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#jobconfigurationextract

Parameters

Name	Description
source	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, google.cloud.bigquery.model.Model, google.cloud.bigquery.model.ModelReference, src, ] Table or Model to be extracted.
destination_uris	Union[str, Sequence[str]] :keyword job_id: The ID of the job. :kwtype job_id: Optional[str] :keyword job_id_prefix: The user-provided prefix for a randomly generated job ID. This parameter will be ignored if a ``job_id`` is also given. :kwtype job_id_prefix: Optional[str] :keyword location: Location where to run the job. Must match the location of the source table. :kwtype location: Optional[str] :keyword project: Project ID of the project of where to run the job. Defaults to the client's project. :kwtype project: Optional[str] :keyword job_config: Extra configuration options for the job. :kwtype job_config: Optional[google.cloud.bigquery.job.ExtractJobConfig] :keyword retry: How to retry the RPC. :kwtype retry: Optional[google.api_core.retry.Retry] :keyword timeout: The number of seconds to wait for the underlying HTTP transport before using ``retry``. :kwtype timeout: Optional[float] :keyword source_type: Type of source to be extracted.``Table`` or ``Model``. Defaults to ``Table``. :kwtype source_type: Optional[str] URIs of Cloud Storage file(s) into which table data is to be extracted; in format gs://<bucket_name>/<object_name_or_glob>.

Exceptions

Type	Description
TypeError	If ``job_config`` is not an instance of ExtractJobConfig class.
ValueError	If ``source_type`` is not among ``Table``,``Model``.

Returns

Type	Description
google.cloud.bigquery.job.ExtractJob	A new extract job instance.

from_service_account_info

from_service_account_info(info, *args, **kwargs)

Factory to retrieve JSON credentials while creating client.

Parameters

Name	Description
args	tuple Remaining positional arguments to pass to constructor.
info	dict The JSON object with a private key and other credentials information (downloaded from the Google APIs console).

Exceptions

Type	Description
TypeError	if there is a conflict with the kwargs and the credentials created by the factory.

Returns

Type	Description
`_ClientFactoryMixin`	The client created with the retrieved JSON credentials.

from_service_account_json

from_service_account_json(json_credentials_path, *args, **kwargs)

Factory to retrieve JSON credentials while creating client.

Parameters

Name	Description
args	tuple Remaining positional arguments to pass to constructor.
json_credentials_path	str The path to a private key file (this file was given to you when you created the service account). This file must contain a JSON object with a private key and other credentials information (downloaded from the Google APIs console).

Exceptions

Type	Description
TypeError	if there is a conflict with the kwargs and the credentials created by the factory.

Returns

Type	Description
`_ClientFactoryMixin`	The client created with the retrieved JSON credentials.

get_dataset

get_dataset(dataset_ref, retry=<google.api_core.retry.Retry object>, timeout=None)

Fetch the dataset referenced by dataset_ref

Parameters

Name	Description
dataset_ref	Union[ google.cloud.bigquery.dataset.DatasetReference, str, ] A reference to the dataset to fetch from the BigQuery API. If a string is passed in, this method attempts to create a dataset reference from a string using from_string.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
google.cloud.bigquery.dataset.Dataset	A ``Dataset`` instance.

get_job

get_job(job_id, project=None, location=None, retry=<google.api_core.retry.Retry object>, timeout=None)

Fetch a job for the project associated with this client.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/get

Parameter

Name

Description

job_id

str :keyword project: ID of the project which owns the job (defaults to the client's project). :kwtype project: Optional[str] :keyword location: Location where the job was run. :kwtype location: Optional[str] :keyword retry: How to retry the RPC. :kwtype retry: Optional[google.api_core.retry.Retry] :keyword timeout: The number of seconds to wait for the underlying HTTP transport before using ``retry``. :kwtype timeout: Optional[float] Unique job identifier.

Returns

Type	Description
Union[ google.cloud.bigquery.job.LoadJob, google.cloud.bigquery.job.CopyJob, google.cloud.bigquery.job.ExtractJob, google.cloud.bigquery.job.QueryJob ]	Job instance, based on the resource returned by the API.

get_model

get_model(model_ref, retry=<google.api_core.retry.Retry object>, timeout=None)

[Beta] Fetch the model referenced by model_ref.

Parameters

Name	Description
model_ref	Union[ google.cloud.bigquery.model.ModelReference, str, ] A reference to the model to fetch from the BigQuery API. If a string is passed in, this method attempts to create a model reference from a string using from_string.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
google.cloud.bigquery.model.Model	A ``Model`` instance.

get_routine

get_routine(routine_ref, retry=<google.api_core.retry.Retry object>, timeout=None)

[Beta] Get the routine referenced by routine_ref.

Parameters

Name	Description
routine_ref	Union[ google.cloud.bigquery.routine.Routine, google.cloud.bigquery.routine.RoutineReference, str, ] A reference to the routine to fetch from the BigQuery API. If a string is passed in, this method attempts to create a reference from a string using from_string.
retry	Optional[google.api_core.retry.Retry] How to retry the API call.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
google.cloud.bigquery.routine.Routine	A ``Routine`` instance.

get_service_account_email

get_service_account_email(project=None, retry=<google.api_core.retry.Retry object>, timeout=None)

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

Note: This is the service account that BigQuery uses to manage tables encrypted by a key in KMS.

Parameters

Name	Description
project	Optional[str] Project ID to use for retreiving service account email. Defaults to the client's project.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
str .. rubric:: Example >>> from google.cloud import bigquery >>> client = bigquery.Client() >>> client.get_service_account_email() [e-mail]	service account email address

get_table

get_table(table, retry=<google.api_core.retry.Retry object>, timeout=None)

Fetch the table referenced by table.

Parameters

Name	Description
table	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, ] A reference to the table to fetch from the BigQuery API. If a string is passed in, this method attempts to create a table reference from a string using from_string.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
google.cloud.bigquery.table.Table	A ``Table`` instance.

insert_rows

insert_rows(table, rows, selected_fields=None, **kwargs)

Insert rows into a table via the streaming API.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/tabledata/insertAll

Parameters

Name	Description
kwargs	Dict Keyword arguments to insert_rows_json.
table	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, ] The destination table for the row data, or a reference to it.
rows	Union[Sequence[Tuple], Sequence[Dict]] Row data to be inserted. If a list of tuples is given, each tuple should contain data for each schema field on the current table and in the same order as the schema fields. If a list of dictionaries is given, the keys must include all required fields in the schema. Keys which do not correspond to a field in the schema are ignored.
selected_fields	Sequence[google.cloud.bigquery.schema.SchemaField] The fields to return. Required if table is a TableReference.

Exceptions

Type	Description
ValueError	if table's schema is not set or `rows` is not a `Sequence`.

Returns

Type	Description
Sequence[Mappings]	One mapping per row with insert errors: the "index" key identifies the row, and the "errors" key contains a list of the mappings describing one or more problems with the row.

insert_rows_from_dataframe

insert_rows_from_dataframe(
    table, dataframe, selected_fields=None, chunk_size=500, **kwargs
)

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

Parameters

Name	Description
kwargs	Dict Keyword arguments to insert_rows_json.
table	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, ] The destination table for the row data, or a reference to it.
dataframe	pandas.DataFrame A pandas.DataFrame containing the data to load. Any NaN values present in the dataframe are omitted from the streaming API request(s).
selected_fields	Sequence[google.cloud.bigquery.schema.SchemaField] The fields to return. Required if table is a TableReference.
chunk_size	int The number of rows to stream in a single chunk. Must be positive.

Exceptions

Type	Description
ValueError	if table's schema is not set

Returns

Type	Description
Sequence[Sequence[Mappings]]	A list with insert errors for each insert chunk. Each element is a list containing one mapping per row with insert errors: the "index" key identifies the row, and the "errors" key contains a list of the mappings describing one or more problems with the row.

insert_rows_json

insert_rows_json(table, json_rows, row_ids=None, skip_invalid_rows=None, ignore_unknown_values=None, template_suffix=None, retry=<google.api_core.retry.Retry object>, timeout=None)

Insert rows into a table without applying local type conversions.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/tabledata/insertAll

Parameters

Name	Description
table	Union[ google.cloud.bigquery.table.Table google.cloud.bigquery.table.TableReference, str ] The destination table for the row data, or a reference to it.
json_rows	Sequence[Dict] Row data to be inserted. Keys must match the table schema fields and values must be JSON-compatible representations.
row_ids	Optional[Sequence[Optional[str]]] Unique IDs, one per row being inserted. An ID can also be None, indicating that an explicit insert ID should not be used for that row. If the argument is omitted altogether, unique IDs are created automatically.
skip_invalid_rows	Optional[bool] Insert all valid rows of a request, even if invalid rows exist. The default value is False, which causes the entire request to fail if any invalid rows exist.
ignore_unknown_values	Optional[bool] Accept rows that contain values that do not match the schema. The unknown values are ignored. Default is False, which treats unknown values as errors.
template_suffix	Optional[str] Treat name as a template table and provide a suffix. BigQuery will create the table <name> + <template_suffix> based on the schema of the template table. See https://cloud.google.com/bigquery/streaming-data-into-bigquery#template-tables
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Exceptions

Type	Description
TypeError	if `json_rows` is not a `Sequence`.

Returns

Type	Description
Sequence[Mappings]	One mapping per row with insert errors: the "index" key identifies the row, and the "errors" key contains a list of the mappings describing one or more problems with the row.

job_from_resource

job_from_resource(resource)

Detect correct job type from resource and instantiate.

Parameter

Name	Description
resource	Dict one job resource from API response

Returns

Type	Description
Union[ google.cloud.bigquery.job.LoadJob, google.cloud.bigquery.job.CopyJob, google.cloud.bigquery.job.ExtractJob, google.cloud.bigquery.job.QueryJob ]	The job instance, constructed via the resource.

list_datasets

list_datasets(project=None, include_all=False, filter=None, max_results=None, page_token=None, retry=<google.api_core.retry.Retry object>, timeout=None)

List datasets for the project associated with this client.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets/list

Parameters

Name	Description
project	Optional[str] Project ID to use for retreiving datasets. Defaults to the client's project.
include_all	Optional[bool] True if results include hidden datasets. Defaults to False.
filter	Optional[str] An expression for filtering the results by label. For syntax, see https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets/list#body.QUERY_PARAMETERS.filter
max_results	Optional[int] Maximum number of datasets to return.
page_token	Optional[str] Token representing a cursor into the datasets. If not passed, the API will return the first page of datasets. The token marks the beginning of the iterator to be returned and the value of the page_token can be accessed at next_page_token of the google.api_core.page_iterator.HTTPIterator.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
google.api_core.page_iterator.Iterator	Iterator of DatasetListItem. associated with the project.

list_jobs

list_jobs(project=None, parent_job=None, max_results=None, page_token=None, all_users=None, state_filter=None, retry=<google.api_core.retry.Retry object>, timeout=None, min_creation_time=None, max_creation_time=None)

List jobs for the project associated with this client.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/list

Parameters

Name	Description
project	Optional[str] Project ID to use for retreiving datasets. Defaults to the client's project.
parent_job	Optional[Union[ google.cloud.bigquery.job._AsyncJob, str, ]] If set, retrieve only child jobs of the specified parent.
max_results	Optional[int] Maximum number of jobs to return.
page_token	Optional[str] Opaque marker for the next "page" of jobs. If not passed, the API will return the first page of jobs. The token marks the beginning of the iterator to be returned and the value of the page_token can be accessed at next_page_token of google.api_core.page_iterator.HTTPIterator.
all_users	Optional[bool] If true, include jobs owned by all users in the project. Defaults to :data:False.
state_filter	Optional[str] If set, include only jobs matching the given state. One of: * "done" * "pending" * "running"
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.
min_creation_time	Optional[datetime.datetime] Min value for job creation time. If set, only jobs created after or at this timestamp are returned. If the datetime has no time zone assumes UTC time.
max_creation_time	Optional[datetime.datetime] Max value for job creation time. If set, only jobs created before or at this timestamp are returned. If the datetime has no time zone assumes UTC time.

Returns

Type	Description
google.api_core.page_iterator.Iterator	Iterable of job instances.

list_models

list_models(dataset, max_results=None, page_token=None, retry=<google.api_core.retry.Retry object>, timeout=None)

[Beta] List models in the dataset.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/models/list

Parameters

Name	Description
dataset	Union[ google.cloud.bigquery.dataset.Dataset, google.cloud.bigquery.dataset.DatasetReference, str, ] A reference to the dataset whose models to list from the BigQuery API. If a string is passed in, this method attempts to create a dataset reference from a string using from_string.
max_results	Optional[int] Maximum number of models to return. If not passed, defaults to a value set by the API.
page_token	Optional[str] Token representing a cursor into the models. If not passed, the API will return the first page of models. The token marks the beginning of the iterator to be returned and the value of the page_token can be accessed at next_page_token of the google.api_core.page_iterator.HTTPIterator.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] Returns: google.api_core.page_iterator.Iterator: Iterator of Model contained within the requested dataset. The number of seconds to wait for the underlying HTTP transport before using retry.

list_partitions

list_partitions(table, retry=<google.api_core.retry.Retry object>, timeout=None)

List the partitions in a table.

Parameters

Name	Description
table	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, ] The table or reference from which to get partition info
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry. If multiple requests are made under the hood, timeout applies to each individual request.

Returns

Type	Description
List[str]	A list of the partition ids present in the partitioned table

list_projects

list_projects(max_results=None, page_token=None, retry=<google.api_core.retry.Retry object>, timeout=None)

List projects for the project associated with this client.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/projects/list

Parameters

Name	Description
max_results	Optional[int] Maximum number of projects to return, If not passed, defaults to a value set by the API.
page_token	Optional[str] Token representing a cursor into the projects. If not passed, the API will return the first page of projects. The token marks the beginning of the iterator to be returned and the value of the page_token can be accessed at next_page_token of the google.api_core.page_iterator.HTTPIterator.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
google.api_core.page_iterator.Iterator	Iterator of Project accessible to the current client.

list_routines

list_routines(dataset, max_results=None, page_token=None, retry=<google.api_core.retry.Retry object>, timeout=None)

[Beta] List routines in the dataset.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/routines/list

Parameters

Name	Description
dataset	Union[ google.cloud.bigquery.dataset.Dataset, google.cloud.bigquery.dataset.DatasetReference, str, ] A reference to the dataset whose routines to list from the BigQuery API. If a string is passed in, this method attempts to create a dataset reference from a string using from_string.
max_results	Optional[int] Maximum number of routines to return. If not passed, defaults to a value set by the API.
page_token	Optional[str] Token representing a cursor into the routines. If not passed, the API will return the first page of routines. The token marks the beginning of the iterator to be returned and the value of the page_token can be accessed at next_page_token of the google.api_core.page_iterator.HTTPIterator.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] Returns: google.api_core.page_iterator.Iterator: Iterator of all Routines contained within the requested dataset, limited by ``max_results``. The number of seconds to wait for the underlying HTTP transport before using retry.

list_rows

list_rows(table, selected_fields=None, max_results=None, page_token=None, start_index=None, page_size=None, retry=<google.api_core.retry.Retry object>, timeout=None)

List the rows of the table.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/tabledata/list

Note: This method assumes that the provided schema is up-to-date with the schema as defined on the back-end: if the two schemas are not identical, the values returned may be incomplete. To ensure that the local copy of the schema is up-to-date, call client.get_table.

Parameters

Name	Description
table	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableListItem, google.cloud.bigquery.table.TableReference, str, ] The table to list, or a reference to it. When the table object does not contain a schema and selected_fields is not supplied, this method calls get_table to fetch the table schema.
selected_fields	Sequence[google.cloud.bigquery.schema.SchemaField] The fields to return. If not supplied, data for all columns are downloaded.
max_results	Optional[int] Maximum number of rows to return.
page_token	Optional[str] Token representing a cursor into the table's rows. If not passed, the API will return the first page of the rows. The token marks the beginning of the iterator to be returned and the value of the page_token can be accessed at next_page_token of the RowIterator.
start_index	Optional[int] The zero-based index of the starting row to read.
page_size	Optional[int] The maximum number of rows in each page of results from this request. Non-positive values are ignored. Defaults to a sensible value set by the API.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry. If multiple requests are made under the hood, timeout applies to each individual request.

Returns

Type	Description
google.cloud.bigquery.table.RowIterator	Iterator of row data Row-s. During each page, the iterator will have the ``total_rows`` attribute set, which counts the total number of rows **in the table** (this is distinct from the total number of rows in the current page: ``iterator.page.num_items``).

list_tables

list_tables(dataset, max_results=None, page_token=None, retry=<google.api_core.retry.Retry object>, timeout=None)

List tables in the dataset.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/tables/list

Parameters

Name	Description
dataset	Union[ google.cloud.bigquery.dataset.Dataset, google.cloud.bigquery.dataset.DatasetReference, str, ] A reference to the dataset whose tables to list from the BigQuery API. If a string is passed in, this method attempts to create a dataset reference from a string using from_string.
max_results	Optional[int] Maximum number of tables to return. If not passed, defaults to a value set by the API.
page_token	Optional[str] Token representing a cursor into the tables. If not passed, the API will return the first page of tables. The token marks the beginning of the iterator to be returned and the value of the page_token can be accessed at next_page_token of the google.api_core.page_iterator.HTTPIterator.
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
google.api_core.page_iterator.Iterator	Iterator of TableListItem contained within the requested dataset.

load_table_from_dataframe

load_table_from_dataframe(
    dataframe,
    destination,
    num_retries=6,
    job_id=None,
    job_id_prefix=None,
    location=None,
    project=None,
    job_config=None,
    parquet_compression="snappy",
)

Upload the contents of a table from a pandas DataFrame.

Similar to load_table_from_uri, this method creates, starts and returns a xref_LoadJob.

Note: Due to the way REPEATED fields are encoded in the parquet file format, a mismatch with the existing table schema can occur, and 100% compatibility cannot be guaranteed for REPEATED fields. https://github.com/googleapis/python-bigquery/issues/17

Parameters

Name	Description
dataframe	pandas.DataFrame A pandas.DataFrame containing the data to load.
destination	google.cloud.bigquery.table.TableReference :keyword num_retries: Number of upload retries. :kwtype num_retries: Optional[int] :keyword job_id: Name of the job. :kwtype job_id: Optional[str] :keyword job_id_prefix: The user-provided prefix for a randomly generated job ID. This parameter will be ignored if a ``job_id`` is also given. :kwtype job_id_prefix: Optional[str] :keyword location: Location where to run the job. Must match the location of the destination table. :kwtype location: Optional[str] :keyword project: Project ID of the project of where to run the job. Defaults to the client's project. :kwtype project: Optional[str] :keyword job_config: Extra configuration options for the job. To override the default pandas data type conversions, supply a value for schema with column names matching those of the dataframe. The BigQuery schema is used to determine the correct data type conversion. Indexes are not loaded. Requires the `pyarrow` library. :kwtype job_config: Optional[google.cloud.bigquery.job.LoadJobConfig] :keyword parquet_compression: [Beta] The compression method to use if intermittently serializing ``dataframe`` to a parquet file. If ``pyarrow`` and job config schema are used, the argument is directly passed as the ``compression`` argument to the underlying ``pyarrow.parquet.write_table()`` method (the default value "snappy" gets converted to uppercase). https://arrow.apache.org/docs/python/generated/pyarrow.parquet.write_table.html#pyarrow-parquet-write-table If either ``pyarrow`` or job config schema are missing, the argument is directly passed as the ``compression`` argument to the underlying ``DataFrame.to_parquet()`` method. https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_parquet.html#pandas.DataFrame.to_parquet :kwtype parquet_compression: Optional[str] The destination table to use for loading the data. If it is an existing table, the schema of the pandas.DataFrame must match the schema of the destination table. If the table does not yet exist, the schema is inferred from the pandas.DataFrame. If a string is passed in, this method attempts to create a table reference from a string using from_string.

Exceptions

Type	Description
ImportError	If a usable parquet engine cannot be found. This method requires `pyarrow` or `fastparquet` to be installed.
TypeError	If ``job_config`` is not an instance of LoadJobConfig class.

Returns

Type	Description
google.cloud.bigquery.job.LoadJob	A new load job.

load_table_from_file

load_table_from_file(
    file_obj,
    destination,
    rewind=False,
    size=None,
    num_retries=6,
    job_id=None,
    job_id_prefix=None,
    location=None,
    project=None,
    job_config=None,
)

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

Similar to load_table_from_uri, this method creates, starts and returns a xref_LoadJob.

Parameters

Name	Description
file_obj	file A file handle opened in binary mode for reading.
destination	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, ] :keyword rewind: If True, seek to the beginning of the file handle before reading the file. :kwtype rewind: Optional[bool] :keyword size: The number of bytes to read from the file handle. If size is ``None`` or large, resumable upload will be used. Otherwise, multipart upload will be used. :kwtype size: Optional[int] :keyword num_retries: Number of upload retries. Defaults to 6. :kwtype num_retries: Optional[int] :keyword job_id: Name of the job. :kwtype job_id: Optional[str] :keyword job_id_prefix: The user-provided prefix for a randomly generated job ID. This parameter will be ignored if a ``job_id`` is also given. :kwtype job_id_prefix: Optional[str] :keyword location: Location where to run the job. Must match the location of the destination table. :kwtype location: Optional[str] :keyword project: Project ID of the project of where to run the job. Defaults to the client's project. :kwtype project: Optional[str] :keyword job_config: Extra configuration options for the job. :kwtype job_config: Optional[google.cloud.bigquery.job.LoadJobConfig] Table into which data is to be loaded. If a string is passed in, this method attempts to create a table reference from a string using from_string.

Exceptions

Type	Description
ValueError	If ``size`` is not passed in and can not be determined, or if the ``file_obj`` can be detected to be a file opened in text mode.
TypeError	If ``job_config`` is not an instance of LoadJobConfig class.

Returns

Type	Description
google.cloud.bigquery.job.LoadJob	A new load job.

load_table_from_json

load_table_from_json(
    json_rows,
    destination,
    num_retries=6,
    job_id=None,
    job_id_prefix=None,
    location=None,
    project=None,
    job_config=None,
)

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

Parameters

Name	Description
json_rows	Iterable[Dict[str, Any]] Row data to be inserted. Keys must match the table schema fields and values must be JSON-compatible representations. .. note:: If your data is already a newline-delimited JSON string, it is best to wrap it into a file-like object and pass it to load_table_from_file:: import io from google.cloud import bigquery data = u'{"foo": "bar"}' data_as_file = io.StringIO(data) client = bigquery.Client() client.load_table_from_file(data_as_file, ...)
destination	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, ] :keyword num_retries: Number of upload retries. :kwtype num_retries: Optional[int] :keyword job_id: Name of the job. :kwtype job_id: Optional[str] :keyword job_id_prefix: The user-provided prefix for a randomly generated job ID. This parameter will be ignored if a ``job_id`` is also given. :kwtype job_id_prefix: Optional[str] :keyword location: Location where to run the job. Must match the location of the destination table. :kwtype location: Optional[str] :keyword project: Project ID of the project of where to run the job. Defaults to the client's project. :kwtype project: Optional[str] :keyword job_config: Extra configuration options for the job. The ``source_format`` setting is always set to NEWLINE_DELIMITED_JSON. :kwtype job_config: Optional[google.cloud.bigquery.job.LoadJobConfig] Table into which data is to be loaded. If a string is passed in, this method attempts to create a table reference from a string using from_string.

Exceptions

Type	Description
TypeError	If ``job_config`` is not an instance of LoadJobConfig class.

Returns

Type	Description
google.cloud.bigquery.job.LoadJob	A new load job.

load_table_from_uri

load_table_from_uri(source_uris, destination, job_id=None, job_id_prefix=None, location=None, project=None, job_config=None, retry=<google.api_core.retry.Retry object>, timeout=None)

Starts a job for loading data into a table from CloudStorage.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#jobconfigurationload

Parameters

Name	Description
source_uris	Union[str, Sequence[str]] URIs of data files to be loaded; in format gs://<bucket_name>/<object_name_or_glob>.
destination	Union[ google.cloud.bigquery.table.Table, google.cloud.bigquery.table.TableReference, str, ] :keyword job_id: Name of the job. :kwtype job_id: Optional[str] :keyword job_id_prefix: The user-provided prefix for a randomly generated job ID. This parameter will be ignored if a ``job_id`` is also given. :kwtype job_id_prefix: Optional[str] :keyword location: Location where to run the job. Must match the location of the destination table. :kwtype location: Optional[str] :keyword project: Project ID of the project of where to run the job. Defaults to the client's project. :kwtype project: Optional[str] :keyword job_config: Extra configuration options for the job. :kwtype job_config: Optional[google.cloud.bigquery.job.LoadJobConfig] :keyword retry: How to retry the RPC. :kwtype retry: Optional[google.api_core.retry.Retry] :keyword timeout: The number of seconds to wait for the underlying HTTP transport before using ``retry``. :kwtype timeout: Optional[float] Table into which data is to be loaded. If a string is passed in, this method attempts to create a table reference from a string using from_string.

Exceptions

Type	Description
TypeError	If ``job_config`` is not an instance of LoadJobConfig class.

Returns

Type	Description
google.cloud.bigquery.job.LoadJob	A new load job.

query

query(query, job_config=None, job_id=None, job_id_prefix=None, location=None, project=None, retry=<google.api_core.retry.Retry object>, timeout=None)

Run a SQL query.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#jobconfigurationquery

Parameter

Name

Description

query

str :keyword job_config: Extra configuration options for the job. To override any options that were previously set in the ``default_query_job_config`` given to the ``Client`` constructor, manually set those options to ``None``, or whatever value is preferred. :kwtype job_config: Optional[google.cloud.bigquery.job.QueryJobConfig] :keyword job_id: ID to use for the query job. :kwtype job_id: Optional[str] :keyword job_id_prefix: The prefix to use for a randomly generated job ID. This parameter will be ignored if a ``job_id`` is also given. :kwtype job_id_prefix: Optional[str] :keyword location: Location where to run the job. Must match the location of the any table used in the query as well as the destination table. :kwtype location: Optional[str] :keyword project: Project ID of the project of where to run the job. Defaults to the client's project. :kwtype project: Optional[str] :keyword retry: How to retry the RPC. :kwtype retry: Optional[google.api_core.retry.Retry] :keyword timeout: The number of seconds to wait for the underlying HTTP transport before using ``retry``. :kwtype timeout: Optional[float] SQL query to be executed. Defaults to the standard SQL dialect. Use the job_config parameter to change dialects.

Exceptions

Type	Description
TypeError	If ``job_config`` is not an instance of QueryJobConfig class.

Returns

Type	Description
google.cloud.bigquery.job.QueryJob	A new query job instance.

schema_from_json

schema_from_json(file_or_path)

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

schema_to_json

schema_to_json(schema_list, destination)

Takes a list of schema field objects.

Serializes the list of schema field objects as json to a file.

Destination is a file path or a file object.

update_dataset

update_dataset(dataset, fields, retry=<google.api_core.retry.Retry object>, timeout=None)

Change some fields of a dataset.

Use fields to specify which fields to update. At least one field must be provided. If a field is listed in fields and is None in dataset, it will be deleted.

If dataset.etag is not None, the update will only succeed if the dataset on the server has the same ETag. Thus reading a dataset with get_dataset, changing its fields, and then passing it to update_dataset will ensure that the changes will only be saved if no modifications to the dataset occurred since the read.

Parameters

Name	Description
dataset	google.cloud.bigquery.dataset.Dataset The dataset to update.
fields	Sequence[str] The properties of dataset to change (e.g. "friendly_name").
retry	Optional[google.api_core.retry.Retry] How to retry the RPC.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
google.cloud.bigquery.dataset.Dataset	The modified ``Dataset`` instance.

update_model

update_model(model, fields, retry=<google.api_core.retry.Retry object>, timeout=None)

[Beta] Change some fields of a model.

Use fields to specify which fields to update. At least one field must be provided. If a field is listed in fields and is None in model, the field value will be deleted.

If model.etag is not None, the update will only succeed if the model on the server has the same ETag. Thus reading a model with get_model, changing its fields, and then passing it to update_model will ensure that the changes will only be saved if no modifications to the model occurred since the read.

Parameters

Name	Description
model	google.cloud.bigquery.model.Model The model to update.
fields	Sequence[str] The fields of model to change, spelled as the Model properties (e.g. "friendly_name").
retry	Optional[google.api_core.retry.Retry] A description of how to retry the API call.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
google.cloud.bigquery.model.Model	The model resource returned from the API call.

update_routine

update_routine(routine, fields, retry=<google.api_core.retry.Retry object>, timeout=None)

[Beta] Change some fields of a routine.

Use fields to specify which fields to update. At least one field must be provided. If a field is listed in fields and is None in routine, the field value will be deleted.

Warning: During beta, partial updates are not supported. You must provide all fields in the resource.

If xref_etag is not None, the update will only succeed if the resource on the server has the same ETag. Thus reading a routine with xref_get_routine, changing its fields, and then passing it to this method will ensure that the changes will only be saved if no modifications to the resource occurred since the read.

Parameters

Name	Description
routine	google.cloud.bigquery.routine.Routine The routine to update.
fields	Sequence[str] The fields of routine to change, spelled as the Routine properties (e.g. type_).
retry	Optional[google.api_core.retry.Retry] A description of how to retry the API call.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
google.cloud.bigquery.routine.Routine	The routine resource returned from the API call.

update_table

update_table(table, fields, retry=<google.api_core.retry.Retry object>, timeout=None)

Change some fields of a table.

Use fields to specify which fields to update. At least one field must be provided. If a field is listed in fields and is None in table, the field value will be deleted.

If table.etag is not None, the update will only succeed if the table on the server has the same ETag. Thus reading a table with get_table, changing its fields, and then passing it to update_table will ensure that the changes will only be saved if no modifications to the table occurred since the read.

Parameters

Name	Description
table	google.cloud.bigquery.table.Table The table to update.
fields	Sequence[str] The fields of table to change, spelled as the Table properties (e.g. "friendly_name").
retry	Optional[google.api_core.retry.Retry] A description of how to retry the API call.
timeout	Optional[float] The number of seconds to wait for the underlying HTTP transport before using retry.

Returns

Type	Description
google.cloud.bigquery.table.Table	The table resource returned from the API call.

__init__

__init__(
    project=None,
    credentials=None,
    _http=None,
    location=None,
    default_query_job_config=None,
    client_info=None,
    client_options=None,
)

Initialize self. See help(type(self)) for accurate signature.