Class QueryJobConfig

QueryJobConfig(**kwargs)

Configuration options for query jobs.

All properties in this class are optional. Values which are :data:None -> server defaults. Set properties on the constructed configuration by using the property name as the name of a keyword argument.

Inheritance

builtins.object > google.cloud.bigquery.job.base._JobConfig > QueryJobConfig

Properties

allow_large_results

bool: Allow large query results tables (legacy SQL, only)

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

clustering_fields

Optional[List[str]]: Fields defining clustering for the table

(Defaults to :data:None).

Clustering fields are immutable after table creation.

.. note::

BigQuery supports clustering for both partitioned and non-partitioned tables.

connection_properties

Connection properties.

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

.. versionadded:: 2.29.0

create_disposition

google.cloud.bigquery.job.CreateDisposition: Specifies behavior for creating tables.

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

create_session

[Preview] If :data:True, creates a new session, where session_info will contain a random server generated session id.

If :data:False, runs query with an existing session_id passed in connection_properties, otherwise runs query in non-session mode.

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

.. versionadded:: 2.29.0

default_dataset

google.cloud.bigquery.dataset.DatasetReference: the default dataset to use for unqualified table names in the query or :data:None if not set.

The default_dataset setter accepts:

a Dataset, or
a DatasetReference, or
a str of the fully-qualified dataset ID in standard SQL format. The value must included a project ID and dataset ID separated by .. For example: your-project.your_dataset.

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

destination

google.cloud.bigquery.table.TableReference: table where results are written or :data:None if not set.

The destination setter accepts:

a Table, or
a TableReference, or
a str of the fully-qualified table ID in standard SQL format. The value must included a project ID, dataset ID, and table ID, each separated by .. For example: your-project.your_dataset.your_table.

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

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 https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#JobConfigurationQuery.FIELDS.destination_encryption_configuration

dry_run

bool: :data:True if this query should be a dry run to estimate costs.

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

flatten_results

bool: Flatten nested/repeated fields in results. (Legacy SQL only)

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

labels

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

This method always returns a dict. Once a job has been created on the server, its labels cannot be modified anymore.

Exceptions

Type	Description
ValueError	If ``value`` type is invalid.

maximum_billing_tier

int: Deprecated. Changes the billing tier to allow high-compute queries.

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

maximum_bytes_billed

int: Maximum bytes to be billed for this job or :data:None if not set.

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

priority

google.cloud.bigquery.job.QueryPriority: Priority of the query.

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

query_parameters

List[Union[google.cloud.bigquery.query.ArrayQueryParameter, google.cloud.bigquery.query.ScalarQueryParameter, google.cloud.bigquery.query.StructQueryParameter]]: list of parameters for parameterized query (empty by default)

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

range_partitioning

Optional[google.cloud.bigquery.table.RangePartitioning]: Configures range-based partitioning for destination table.

.. note:: Beta. The integer range partitioning feature is in a pre-release state and might change or have limited support.

Only specify at most one of xref_time_partitioning or xref_range_partitioning.

Exceptions

Type	Description
ValueError	If the value is not RangePartitioning or :data:`None`.

schema_update_options

List[google.cloud.bigquery.job.SchemaUpdateOption]: Specifies updates to the destination table schema to allow as a side effect of the query job.

script_options

Options controlling the execution of scripts.

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

table_definitions

Dict[str, google.cloud.bigquery.external_config.ExternalConfig]: Definitions for external tables or :data:None if not set.

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

time_partitioning

Optional[google.cloud.bigquery.table.TimePartitioning]: Specifies time-based partitioning for the destination table.

Only specify at most one of xref_time_partitioning or xref_range_partitioning.

Exceptions

Type	Description
ValueError	If the value is not TimePartitioning or :data:`None`.

udf_resources

List[google.cloud.bigquery.query.UDFResource]: user defined function resources (empty by default)

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

use_legacy_sql

bool: Use legacy SQL syntax.

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

use_query_cache

bool: Look for the query result in the cache.

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

write_disposition

google.cloud.bigquery.job.WriteDisposition: Action that occurs if the destination table already exists.

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

Methods

setattr

__setattr__(name, value)

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

from_api_repr

from_api_repr(resource: dict)

Factory: construct a job configuration given its API representation

Parameter

Name	Description
resource	`Dict` A job configuration in the same representation as is returned from the API.

Returns

Type	Description
google.cloud.bigquery.job._JobConfig	Configuration parsed from ``resource``.

to_api_repr

to_api_repr()

Build an API representation of the query job config.

Returns

Type	Description
Dict	A dictionary in the format used by the BigQuery API.

init

__init__(**kwargs)

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

QueryJobConfig

QueryJobConfig(**kwargs)

Configuration options for query jobs.