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QueryJob(job_id, query, client, job_config=None)Asynchronous job: query tables.
Parameters Name Descriptionjob_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.
Properties allow_large_resultsSee allow_large_results.
billing_tier Returns Type DescriptionOptional[int] Billing tier used by the job, or None if job is not yet complete. cache_hit Returns Type Description Optional[bool] whether the query results were returned from cache, or None if job is not yet complete. clustering_fields
See clustering_fields.
configurationThe configuration for this query job.
connection_properties create_dispositionSee create_disposition.
create_session createdDatetime at which the job was created.
Returns Type DescriptionOptional[datetime.datetime] the creation time (None until set from the server). ddl_operation_performed ddl_target_routine ddl_target_table default_dataset
See default_dataset.
destinationSee destination.
destination_encryption_configuration dry_runSee dry_run.
endedDatetime at which the job finished.
Returns Type DescriptionOptional[datetime.datetime] the end time (None until set from the server). error_result
Error information about the job as a whole.
Returns Type DescriptionOptional[Mapping] the error information (None until set from the server). errors
Information about individual errors generated by the job.
Returns Type DescriptionOptional[List[Mapping]] the error information (None until set from the server). estimated_bytes_processed Returns Type Description 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 Type DescriptionOptional[str] the ETag (None until set from the server). flatten_results
See flatten_results.
job_idstr: ID of the job.
job_typeType of job.
Returns Type Descriptionstr one of 'load', 'copy', 'extract', 'query'. labels
Dict[str, str]: Labels for the job.
locationstr: Location where the job runs.
maximum_billing_tierSee maximum_billing_tier.
maximum_bytes_billedSee maximum_bytes_billed.
num_child_jobs num_dml_affected_rows Returns Type DescriptionOptional[int] number of DML rows affected by the job, or None if job is not yet complete. parent_job_id Returns Type Description Optional[str] parent job id. path
URL path for the job's APIs.
Returns Type Descriptionstr the path based on project and job ID. priority
See priority.
projectProject bound to the job.
Returns Type Descriptionstr the project (derived from the client). query query_id
[Preview] ID of a completed query.
This ID is auto-generated and not guaranteed to be populated.
query_parametersSee query_parameters.
query_plan range_partitioningSee range_partitioning.
referenced_tables Returns Type DescriptionList[Dict] mappings describing the query plan, or an empty list if the query has not yet completed. reservation_id
str: Name of the primary reservation assigned to this job.
Note that this could be different than reservations reported in the reservation field if parent reservations were used to execute this job.
reservation_usageJob resource usage breakdown by reservation.
schemaThe schema of the results.
Present only for successful dry run of non-legacy SQL queries.
schema_update_options script_statisticsStatistics for a child job of a script.
search_statsReturns a SearchStats object.
self_linkURL for the job resource.
Returns Type DescriptionOptional[str] the URL (None until set from the server). session_info
[Preview] Information of the session if this job is part of one.
.. versionadded:: 2.29.0
slot_millisUnion[int, None]: Slot-milliseconds used by this query job.
startedDatetime at which the job was started.
Returns Type DescriptionOptional[datetime.datetime] the start time (None until set from the server). state
Status of the job.
Returns Type DescriptionOptional[str] the state (None until set from the server). statement_type Returns Type Description Optional[str] type of statement used by the job, or None if job is not yet complete. table_definitions
See table_definitions.
time_partitioningSee time_partitioning.
timelineList(TimelineEntry): Return the query execution timeline from job statistics.
total_bytes_billed Returns Type DescriptionOptional[int] Total bytes processed by the job, or None if job is not yet complete. total_bytes_processed Returns Type Description 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.
Since a scripting query job can execute multiple transactions, this property is only expected on child jobs. Use the list_jobs method with the parent_job parameter to iterate over child jobs.
.. versionadded:: 2.24.0
udf_resourcesSee udf_resources.
undeclared_query_parameters use_legacy_sqlSee use_legacy_sql.
use_query_cacheSee use_query_cache.
user_emailE-mail address of user who submitted the job.
Returns Type DescriptionOptional[str] the URL (None until set from the server). write_disposition
See write_disposition.
Methods add_done_callbackAdd 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 Name Descriptionfn Callable[Future]
The callback to execute when the operation is complete.
cancelcancel(client=None, retry: typing.Optional[google.api_core.retry.retry_unary.Retry] = <google.api_core.retry.retry_unary.Retry object>, timeout: typing.Optional[float] = None) -> boolclient 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.
timeout Optional[float]
The number of seconds to wait for the underlying HTTP transport before using retry
bool Boolean indicating that the cancel request was sent. 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.
bool False done
done(retry: google.api_core.retry.retry_unary.Retry = <google.api_core.retry.retry_unary.Retry object>, timeout: typing.Optional[float] = 128, reload: bool = True) -> boolChecks if the job is complete.
Parameters Name Descriptiontimeout 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.
bool True if the job is complete, False otherwise. exception
exception(timeout=<object object>)Get the exception from the operation, blocking if necessary.
See the documentation for the result method for details on how this method operates, as both result and this method rely on the exact same polling logic. The only difference is that this method does not accept retry and polling arguments but relies on the default ones instead.
timeout int
How long to wait for the operation to complete.
Returns Type DescriptionOptional[google.api_core.GoogleAPICallError] The operation's error. exists
exists(client=None, retry: google.api_core.retry.retry_unary.Retry = <google.api_core.retry.retry_unary.Retry object>, timeout: typing.Optional[float] = None) -> booltimeout 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 Type Descriptionbool Boolean indicating existence of the job. from_api_repr
from_api_repr(resource: dict, client: Client) -> QueryJobFactory: construct a job given its API representation
Parameters Name Descriptionresource 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 Type Descriptiongoogle.cloud.bigquery.job.QueryJob Job parsed from resource. reload
reload(client=None, retry: google.api_core.retry.retry_unary.Retry = <google.api_core.retry.retry_unary.Retry object>, timeout: typing.Optional[float] = 128)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.
resultresult(page_size: typing.Optional[int] = None, max_results: typing.Optional[int] = None, retry: typing.Optional[google.api_core.retry.retry_unary.Retry] = <google.api_core.retry.retry_unary.Retry object>, timeout: typing.Optional[typing.Union[float, object]] = <object object>, start_index: typing.Optional[int] = None, job_retry: typing.Optional[google.api_core.retry.retry_unary.Retry] = <google.api_core.retry.retry_unary.Retry object>) -> typing.Union[RowIterator, google.cloud.bigquery.table._EmptyRowIterator]Start the job and wait for it to complete and get the result.
Parameters Name Descriptionpage_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.
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.
timeout Optional[Union[float, google.api_core.future.polling.PollingFuture._DEFAULT_VALUE, ]]
The number of seconds to wait for the underlying HTTP transport before using retry. If None, wait indefinitely unless an error is returned. If unset, only the underlying API calls have their default timeouts, but we still wait indefinitely for the job to finish.
start_index Optional[int]
The zero-based index of the starting row to read.
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.
google.api_core.exceptions.GoogleAPICallError If the job failed and retries aren't successful. concurrent.futures.TimeoutError If the job did not complete in the given timeout. TypeError If Non-None and non-default job_retry is provided and the job is not retryable. 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 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
True if the operation is currently running.
set_exceptionSet the Future's exception.
set_resultSet the Future's result.
to_api_reprGenerate a resource for _begin.
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.
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.stdout. 'tqdm_notebook' Use the tqdm.notebook.tqdm 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.
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 google-cloud-bigquery-storage library. Reading from a specific partition or snapshot is not currently supported by this method.
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
Exceptions Type DescriptionValueError If the pyarrow library cannot be imported. .. versionadded:: 1.17.0 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.DataFrameReturn a pandas DataFrame from a QueryJob
Parameters Name Descriptionbqstorage_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.
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
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
bool_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.BooleanDtype()) to convert BigQuery Boolean type, instead of relying on the default pandas.BooleanDtype(). If you explicitly set the value to None, then the data type will be numpy.dtype("bool"). BigQuery Boolean type can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#boolean_type .. versionadded:: 3.8.0
int_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.Int64Dtype()) to convert BigQuery Integer types, instead of relying on the default pandas.Int64Dtype(). If you explicitly set the value to None, then the data type will be numpy.dtype("int64"). A list of BigQuery Integer types can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#integer_types .. versionadded:: 3.8.0
float_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.Float32Dtype()) to convert BigQuery Float type, instead of relying on the default numpy.dtype("float64"). If you explicitly set the value to None, then the data type will be numpy.dtype("float64"). BigQuery Float type can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#floating_point_types .. versionadded:: 3.8.0
string_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.StringDtype()) to convert BigQuery String type, instead of relying on the default numpy.dtype("object"). If you explicitly set the value to None, then the data type will be numpy.dtype("object"). BigQuery String type can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#string_type .. versionadded:: 3.8.0
date_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.ArrowDtype(pyarrow.date32())) to convert BigQuery Date type, instead of relying on the default db_dtypes.DateDtype(). If you explicitly set the value to None, then the data type will be numpy.dtype("datetime64[ns]") or object if out of bound. BigQuery Date type can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#date_type .. versionadded:: 3.10.0
datetime_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.ArrowDtype(pyarrow.timestamp("us"))) to convert BigQuery Datetime type, instead of relying on the default numpy.dtype("datetime64[ns]. If you explicitly set the value to None, then the data type will be numpy.dtype("datetime64[ns]") or object if out of bound. BigQuery Datetime type can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#datetime_type .. versionadded:: 3.10.0
time_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.ArrowDtype(pyarrow.time64("us"))) to convert BigQuery Time type, instead of relying on the default db_dtypes.TimeDtype(). If you explicitly set the value to None, then the data type will be numpy.dtype("object"). BigQuery Time type can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#time_type .. versionadded:: 3.10.0
timestamp_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.ArrowDtype(pyarrow.timestamp("us", tz="UTC"))) to convert BigQuery Timestamp type, instead of relying on the default numpy.dtype("datetime64[ns, UTC]"). If you explicitly set the value to None, then the data type will be numpy.dtype("datetime64[ns, UTC]") or object if out of bound. BigQuery Datetime type can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#timestamp_type .. versionadded:: 3.10.0
range_date_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype, such as: .. code-block:: python pandas.ArrowDtype(pyarrow.struct( [("start", pyarrow.date32()), ("end", pyarrow.date32())] )) to convert BigQuery RANGE
range_datetime_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype, such as: .. code-block:: python pandas.ArrowDtype(pyarrow.struct( [ ("start", pyarrow.timestamp("us")), ("end", pyarrow.timestamp("us")), ] )) to convert BigQuery RANGE
range_timestamp_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype, such as: .. code-block:: python pandas.ArrowDtype(pyarrow.struct( [ ("start", pyarrow.timestamp("us", tz="UTC")), ("end", pyarrow.timestamp("us", tz="UTC")), ] )) to convert BigQuery RANGE
Exceptions Type DescriptionValueError If 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 Type Description pandas.DataFrame A 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: typing.Optional[bigquery_storage.BigQueryReadClient] = None,
dtypes: typing.Optional[typing.Dict[str, typing.Any]] = None,
progress_bar_type: typing.Optional[str] = None,
create_bqstorage_client: bool = True,
max_results: typing.Optional[int] = None,
geography_column: typing.Optional[str] = None,
bool_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.BOOL_DTYPE,
int_dtype: typing.Optional[typing.Any] = DefaultPandasDTypes.INT_DTYPE,
float_dtype: typing.Optional[typing.Any] = None,
string_dtype: typing.Optional[typing.Any] = None,
) -> geopandas.GeoDataFrameReturn a GeoPandas GeoDataFrame from a QueryJob
Parameters Name Descriptionbqstorage_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.
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
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.
bool_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.BooleanDtype()) to convert BigQuery Boolean type, instead of relying on the default pandas.BooleanDtype(). If you explicitly set the value to None, then the data type will be numpy.dtype("bool"). BigQuery Boolean type can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#boolean_type
int_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.Int64Dtype()) to convert BigQuery Integer types, instead of relying on the default pandas.Int64Dtype(). If you explicitly set the value to None, then the data type will be numpy.dtype("int64"). A list of BigQuery Integer types can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#integer_types
float_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.Float32Dtype()) to convert BigQuery Float type, instead of relying on the default numpy.dtype("float64"). If you explicitly set the value to None, then the data type will be numpy.dtype("float64"). BigQuery Float type can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#floating_point_types
string_dtype Optional[pandas.Series.dtype, None]
If set, indicate a pandas ExtensionDtype (e.g. pandas.StringDtype()) to convert BigQuery String type, instead of relying on the default numpy.dtype("object"). If you explicitly set the value to None, then the data type will be numpy.dtype("object"). BigQuery String type can be found at: https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#string_type
ValueError If the geopandas library cannot be imported, or the bigquery_storage_v1 module is required but cannot be imported. .. versionadded:: 2.24.0 Returns Type Description geopandas.GeoDataFrame A geopandas.GeoDataFrame populated with row data and column headers from the query results. The column headers are derived from the destination table's schema.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-08-07 UTC.
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