Class QueryJob (2.25.2)

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QueryJob(job_id, query, client, job_config=None)

Asynchronous job: query tables.

Parameters

NameDescription
job_id str

the job's ID, within the project belonging to client.

query str

SQL query string.

client google.cloud.bigquery.client.Client

A client which holds credentials and project configuration for the dataset (which requires a project).

job_config Optional[google.cloud.bigquery.job.QueryJobConfig]

Extra configuration options for the query job.

Inheritance

builtins.object > google.api_core.future.base.Future > google.api_core.future.polling.PollingFuture > google.cloud.bigquery.job.base._AsyncJob > QueryJob

Properties

allow_large_results

billing_tier

Returns
TypeDescription
Optional[int]Billing tier used by the job, or None if job is not yet complete.

cache_hit

Return whether or not query results were served from cache.

See: https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#JobStatistics2.FIELDS.cache_hit

Returns
TypeDescription
Optional[bool]whether the query results were returned from cache, or None if job is not yet complete.

clustering_fields

create_disposition

created

Datetime at which the job was created.

Returns
TypeDescription
Optional[datetime.datetime]the creation time (None until set from the server).

ddl_operation_performed

ddl_target_routine

Optional[google.cloud.bigquery.routine.RoutineReference]: Return the DDL target routine, present for CREATE/DROP FUNCTION/PROCEDURE queries.

See: https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#JobStatistics2.FIELDS.ddl_target_routine

ddl_target_table

default_dataset

destination

destination_encryption_configuration

google.cloud.bigquery.encryption_configuration.EncryptionConfiguration: Custom encryption configuration for the destination table.

Custom encryption configuration (e.g., Cloud KMS keys) or :data:None if using default encryption.

See destination_encryption_configuration.

dry_run

See dry_run.

ended

Datetime at which the job finished.

Returns
TypeDescription
Optional[datetime.datetime]the end time (None until set from the server).

error_result

Error information about the job as a whole.

Returns
TypeDescription
Optional[Mapping]the error information (None until set from the server).

errors

Information about individual errors generated by the job.

Returns
TypeDescription
Optional[List[Mapping]]the error information (None until set from the server).

estimated_bytes_processed

Returns
TypeDescription
Optional[int]number of DML rows affected by the job, or None if job is not yet complete.

etag

ETag for the job resource.

Returns
TypeDescription
Optional[str]the ETag (None until set from the server).

flatten_results

job_id

str: ID of the job.

job_type

Type of job.

Returns
TypeDescription
strone of 'load', 'copy', 'extract', 'query'.

labels

Dict[str, str]: Labels for the job.

location

str: Location where the job runs.

maximum_billing_tier

maximum_bytes_billed

num_child_jobs

num_dml_affected_rows

Returns
TypeDescription
Optional[int]number of DML rows affected by the job, or None if job is not yet complete.

parent_job_id

Returns
TypeDescription
Optional[str]parent job id.

path

URL path for the job's APIs.

Returns
TypeDescription
strthe path based on project and job ID.

priority

See priority.

project

Project bound to the job.

Returns
TypeDescription
strthe project (derived from the client).

query

query_parameters

query_plan

Returns
TypeDescription
List[google.cloud.bigquery.job.QueryPlanEntry]mappings describing the query plan, or an empty list if the query has not yet completed.

range_partitioning

referenced_tables

Returns
TypeDescription
List[Dict]mappings describing the query plan, or an empty list if the query has not yet completed.

reservation_usage

Job resource usage breakdown by reservation.

Returns
TypeDescription
List[google.cloud.bigquery.job.ReservationUsage]Reservation usage stats. Can be empty if not set from the server.

schema_update_options

URL for the job resource.

Returns
TypeDescription
Optional[str]the URL (None until set from the server).

slot_millis

Union[int, None]: Slot-milliseconds used by this query job.

started

Datetime at which the job was started.

Returns
TypeDescription
Optional[datetime.datetime]the start time (None until set from the server).

state

Status of the job.

Returns
TypeDescription
Optional[str]the state (None until set from the server).

statement_type

Returns
TypeDescription
Optional[str]type of statement used by the job, or None if job is not yet complete.

table_definitions

time_partitioning

timeline

List(TimelineEntry): Return the query execution timeline from job statistics.

total_bytes_billed

Returns
TypeDescription
Optional[int]Total bytes processed by the job, or None if job is not yet complete.

total_bytes_processed

Returns
TypeDescription
Optional[int]Total bytes processed by the job, or None if job is not yet complete.

transaction_info

Information of the multi-statement transaction if this job is part of one.

.. versionadded:: 2.24.0

udf_resources

undeclared_query_parameters

Return undeclared query parameters from job statistics, if present.

See: https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#JobStatistics2.FIELDS.undeclared_query_parameters

Returns
TypeDescription
List[Union[ google.cloud.bigquery.query.ArrayQueryParameter, google.cloud.bigquery.query.ScalarQueryParameter, google.cloud.bigquery.query.StructQueryParameter ]]Undeclared parameters, or an empty list if the query has not yet completed.

use_legacy_sql

use_query_cache

user_email

E-mail address of user who submitted the job.

Returns
TypeDescription
Optional[str]the URL (None until set from the server).

write_disposition

dml_stats

API documentation for bigquery.job.QueryJob.dml_stats property.

script_statistics

API documentation for bigquery.job.QueryJob.script_statistics property.

Methods

add_done_callback

add_done_callback(fn)

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

If the operation is not already complete, this will start a helper thread to poll for the status of the operation in the background.

Parameter
NameDescription
fn Callable[Future]

The callback to execute when the operation is complete.

cancel

cancel(client=None, retry: retries.Retry = <google.api_core.retry.Retry object>, timeout: float = None)
Parameters
NameDescription
timeout Optional[float]

The number of seconds to wait for the underlying HTTP transport before using retry

client Optional[google.cloud.bigquery.client.Client]

the client to use. If not passed, falls back to the client stored on the current dataset.

retry Optional[google.api_core.retry.Retry]

How to retry the RPC.

Returns
TypeDescription
boolBoolean indicating that the cancel request was sent.

cancelled

cancelled()

Check if the job has been cancelled.

This always returns False. It's not possible to check if a job was cancelled in the API. This method is here to satisfy the interface for google.api_core.future.Future.

Returns
TypeDescription
boolFalse

done

done(retry: retries.Retry = <google.api_core.retry.Retry object>, timeout: float = None, reload: bool = True)

Checks if the job is complete.

Parameters
NameDescription
timeout Optional[float]

The number of seconds to wait for the underlying HTTP transport before using retry.

reload Optional[bool]

If True, make an API call to refresh the job state of unfinished jobs before checking. Default True.

retry Optional[google.api_core.retry.Retry]

How to retry the RPC. If the job state is DONE, retrying is aborted early, as the job will not change anymore.

Returns
TypeDescription
boolTrue if the job is complete, False otherwise.

exception

exception(timeout=None)

Get the exception from the operation, blocking if necessary.

Parameter
NameDescription
timeout int

How long to wait for the operation to complete. If None, wait indefinitely.

Returns
TypeDescription
Optional[google.api_core.GoogleAPICallError]The operation's error.

exists

exists(client=None, retry: retries.Retry = <google.api_core.retry.Retry object>, timeout: float = None)

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

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

Parameters
NameDescription
timeout Optional[float]

The number of seconds to wait for the underlying HTTP transport before using retry.

client Optional[google.cloud.bigquery.client.Client]

the client to use. If not passed, falls back to the client stored on the current dataset.

retry Optional[google.api_core.retry.Retry]

How to retry the RPC.

Returns
TypeDescription
boolBoolean indicating existence of the job.

from_api_repr

from_api_repr(resource: dict, client)

Factory: construct a job given its API representation

Parameters
NameDescription
resource Dict

dataset job representation returned from the API

client google.cloud.bigquery.client.Client

Client which holds credentials and project configuration for the dataset.

Returns
TypeDescription
google.cloud.bigquery.job.QueryJobJob parsed from ``resource``.

reload

reload(client=None, retry: retries.Retry = <google.api_core.retry.Retry object>, timeout: float = None)

API call: refresh job properties via a GET request.

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

Parameters
NameDescription
timeout Optional[float]

The number of seconds to wait for the underlying HTTP transport before using retry.

client Optional[google.cloud.bigquery.client.Client]

the client to use. If not passed, falls back to the client stored on the current dataset.

retry Optional[google.api_core.retry.Retry]

How to retry the RPC.

result

result(page_size: int = None, max_results: int = None, retry: retries.Retry = <google.api_core.retry.Retry object>, timeout: float = None, start_index: int = None, job_retry: retries.Retry = <google.api_core.retry.Retry object>)

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

Parameters
NameDescription
page_size Optional[int]

The maximum number of rows in each page of results from this request. Non-positive values are ignored.

max_results Optional[int]

The maximum total number of rows from this request.

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.

start_index Optional[int]

The zero-based index of the starting row to read.

retry Optional[google.api_core.retry.Retry]

How to retry the call that retrieves rows. This only applies to making RPC calls. It isn't used to retry failed jobs. This has a reasonable default that should only be overridden with care. If the job state is DONE, retrying is aborted early even if the results are not available, as this will not change anymore.

job_retry Optional[google.api_core.retry.Retry]

How to retry failed jobs. The default retries rate-limit-exceeded errors. Passing None disables job retry. Not all jobs can be retried. If job_id was provided to the query that created this job, then the job returned by the query will not be retryable, and an exception will be raised if non-None non-default job_retry is also provided.

Exceptions
TypeDescription
google.cloud.exceptions.GoogleAPICallErrorIf the job failed and retries aren't successful.
concurrent.futures.TimeoutErrorIf the job did not complete in the given timeout.
TypeErrorIf Non-``None`` and non-default ``job_retry`` is provided and the job is not retryable.
Returns
TypeDescription
google.cloud.bigquery.table.RowIteratorIterator 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 result set** (this is distinct from the total number of rows in the current page: ``iterator.page.num_items``). If the query is a special query that produces no results, e.g. a DDL query, an ``_EmptyRowIterator`` instance is returned.

running

running()

True if the operation is currently running.

set_exception

set_exception(exception)

Set the Future's exception.

set_result

set_result(result)

Set the Future's result.

to_api_repr

to_api_repr()

Generate a resource for _begin.

to_arrow

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

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

Parameters
NameDescription
progress_bar_type Optional[str]

If set, use the tqdm <https://tqdm.github.io/>_ library to display a progress bar while the data downloads. Install the tqdm package to use this feature. Possible values of progress_bar_type include: None No progress bar. 'tqdm' Use the tqdm.tqdm function to print a progress bar to :data:sys.stderr. 'tqdm_notebook' Use the tqdm.tqdm_notebook function to display a progress bar as a Jupyter notebook widget. 'tqdm_gui' Use the tqdm.tqdm_gui function to display a progress bar as a graphical dialog box.

create_bqstorage_client Optional[bool]

If True (default), create a BigQuery Storage API client using the default API settings. The BigQuery Storage API is a faster way to fetch rows from BigQuery. See the bqstorage_client parameter for more information. This argument does nothing if bqstorage_client is supplied. .. versionadded:: 1.24.0

max_results Optional[int]

Maximum number of rows to include in the result. No limit by default. .. versionadded:: 2.21.0

bqstorage_client Optional[google.cloud.bigquery_storage_v1.BigQueryReadClient]

A BigQuery Storage API client. If supplied, use the faster BigQuery Storage API to fetch rows from BigQuery. This API is a billable API. This method requires the pyarrow and google-cloud-bigquery-storage libraries. Reading from a specific partition or snapshot is not currently supported by this method.

Exceptions
TypeDescription
ValueErrorIf the `pyarrow` library cannot be imported. .. versionadded:: 1.17.0

to_dataframe

to_dataframe(
    bqstorage_client: bigquery_storage.BigQueryReadClient = None,
    dtypes: Dict[str, Any] = None,
    progress_bar_type: str = None,
    create_bqstorage_client: bool = True,
    date_as_object: bool = True,
    max_results: Optional[int] = None,
    geography_as_object: bool = False,
)

Return a pandas DataFrame from a QueryJob

Parameters
NameDescription
dtypes Optional[Map[str, Union[str, pandas.Series.dtype]]]

A dictionary of column names pandas dtypes. The provided dtype is used when constructing the series for the column specified. Otherwise, the default pandas behavior is used.

progress_bar_type Optional[str]

If set, use the tqdm <https://tqdm.github.io/>_ library to display a progress bar while the data downloads. Install the tqdm package to use this feature. See to_dataframe for details. .. versionadded:: 1.11.0

create_bqstorage_client Optional[bool]

If True (default), create a BigQuery Storage API client using the default API settings. The BigQuery Storage API is a faster way to fetch rows from BigQuery. See the bqstorage_client parameter for more information. This argument does nothing if bqstorage_client is supplied. .. versionadded:: 1.24.0

date_as_object Optional[bool]

If True (default), cast dates to objects. If False, convert to datetime64[ns] dtype. .. versionadded:: 1.26.0

max_results Optional[int]

Maximum number of rows to include in the result. No limit by default. .. versionadded:: 2.21.0

geography_as_object Optional[bool]

If True, convert GEOGRAPHY data to shapely geometry objects. If False (default), don't cast geography data to shapely geometry objects. .. versionadded:: 2.24.0

bqstorage_client Optional[google.cloud.bigquery_storage_v1.BigQueryReadClient]

A BigQuery Storage API client. If supplied, use the faster BigQuery Storage API to fetch rows from BigQuery. This API is a billable API. This method requires the fastavro and google-cloud-bigquery-storage libraries. Reading from a specific partition or snapshot is not currently supported by this method.

Exceptions
TypeDescription
ValueErrorIf the `pandas` library cannot be imported, or the bigquery_storage_v1 module is required but cannot be imported. Also if `geography_as_object` is `True`, but the `shapely` library cannot be imported.
Returns
TypeDescription
pandas.DataFrameA `pandas.DataFrame` populated with row data and column headers from the query results. The column headers are derived from the destination table's schema.

to_geodataframe

to_geodataframe(
    bqstorage_client: bigquery_storage.BigQueryReadClient = None,
    dtypes: Dict[str, Any] = None,
    progress_bar_type: str = None,
    create_bqstorage_client: bool = True,
    date_as_object: bool = True,
    max_results: Optional[int] = None,
    geography_column: Optional[str] = None,
)

Return a GeoPandas GeoDataFrame from a QueryJob

Parameters
NameDescription
dtypes Optional[Map[str, Union[str, pandas.Series.dtype]]]

A dictionary of column names pandas dtypes. The provided dtype is used when constructing the series for the column specified. Otherwise, the default pandas behavior is used.

progress_bar_type Optional[str]

If set, use the tqdm <https://tqdm.github.io/>_ library to display a progress bar while the data downloads. Install the tqdm package to use this feature. See to_dataframe for details. .. versionadded:: 1.11.0

create_bqstorage_client Optional[bool]

If True (default), create a BigQuery Storage API client using the default API settings. The BigQuery Storage API is a faster way to fetch rows from BigQuery. See the bqstorage_client parameter for more information. This argument does nothing if bqstorage_client is supplied. .. versionadded:: 1.24.0

date_as_object Optional[bool]

If True (default), cast dates to objects. If False, convert to datetime64[ns] dtype. .. versionadded:: 1.26.0

max_results Optional[int]

Maximum number of rows to include in the result. No limit by default. .. versionadded:: 2.21.0

geography_column Optional[str]

If there are more than one GEOGRAPHY column, identifies which one to use to construct a GeoPandas GeoDataFrame. This option can be ommitted if there's only one GEOGRAPHY column.

bqstorage_client Optional[google.cloud.bigquery_storage_v1.BigQueryReadClient]

A BigQuery Storage API client. If supplied, use the faster BigQuery Storage API to fetch rows from BigQuery. This API is a billable API. This method requires the fastavro and google-cloud-bigquery-storage libraries. Reading from a specific partition or snapshot is not currently supported by this method.

Exceptions
TypeDescription
ValueErrorIf the `geopandas` library cannot be imported, or the bigquery_storage_v1 module is required but cannot be imported. .. versionadded:: 2.24.0
Returns
TypeDescription
geopandas.GeoDataFrameA `geopandas.GeoDataFrame` populated with row data and column headers from the query results. The column headers are derived from the destination table's schema.

__init__

__init__(job_id, query, client, job_config=None)

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

QueryJob

QueryJob(job_id, query, client, job_config=None)

Asynchronous job: query tables.

Parameters
NameDescription
job_id str

the job's ID, within the project belonging to client.

query str

SQL query string.

client google.cloud.bigquery.client.Client

A client which holds credentials and project configuration for the dataset (which requires a project).

job_config Optional[google.cloud.bigquery.job.QueryJobConfig]

Extra configuration options for the query job.