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train | _ClientFactoryMixin.from_service_account_json | Factory to retrieve JSON credentials while creating client.
:type json_credentials_path: str
:param json_credentials_path: The path to a private key file (this file
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service account). This f... | core/google/cloud/client.py | def from_service_account_json(cls, json_credentials_path, *args, **kwargs):
"""Factory to retrieve JSON credentials while creating client.
:type json_credentials_path: str
:param json_credentials_path: The path to a private key file (this file
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train | Client._http | Getter for object used for HTTP transport.
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"""Getter for object used for HTTP transport.
:rtype: :class:`~requests.Session`
:returns: An HTTP object.
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train | AlertPolicyServiceClient.alert_policy_path | Return a fully-qualified alert_policy string. | monitoring/google/cloud/monitoring_v3/gapic/alert_policy_service_client.py | def alert_policy_path(cls, project, alert_policy):
"""Return a fully-qualified alert_policy string."""
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train | AlertPolicyServiceClient.alert_policy_condition_path | Return a fully-qualified alert_policy_condition string. | monitoring/google/cloud/monitoring_v3/gapic/alert_policy_service_client.py | def alert_policy_condition_path(cls, project, alert_policy, condition):
"""Return a fully-qualified alert_policy_condition string."""
return google.api_core.path_template.expand(
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train | _get_many | Get multiple items from a Queue.
Gets at least one (blocking) and at most ``max_items`` items
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Args:
queue_ (~queue.Queue`): The Queue to get items from.
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Gets at least one (blocking) and at most ``max_items`` items
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queue_ (~queue.Queue`): The Queue to get items from.
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Gets at least one (blocking) and at most ``max_items`` items
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train | _error_result_to_exception | Maps BigQuery error reasons to an exception.
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.. _troubleshooting errors: https://cloud.google.com/bigquery\
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:type error_result: Mapping[str, str]
:param error_res... | bigquery/google/cloud/bigquery/job.py | def _error_result_to_exception(error_result):
"""Maps BigQuery error reasons to an exception.
The reasons and their matching HTTP status codes are documented on
the `troubleshooting errors`_ page.
.. _troubleshooting errors: https://cloud.google.com/bigquery\
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:type... | def _error_result_to_exception(error_result):
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.. _troubleshooting errors: https://cloud.google.com/bigquery\
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train | _JobReference._from_api_repr | Returns a job reference for an API resource representation. | bigquery/google/cloud/bigquery/job.py | def _from_api_repr(cls, resource):
"""Returns a job reference for an API resource representation."""
job_id = resource.get("jobId")
project = resource.get("projectId")
location = resource.get("location")
job_ref = cls(job_id, project, location)
return job_ref | def _from_api_repr(cls, resource):
"""Returns a job reference for an API resource representation."""
job_id = resource.get("jobId")
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location = resource.get("location")
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train | _AsyncJob.created | Datetime at which the job was created.
:rtype: ``datetime.datetime``, or ``NoneType``
:returns: the creation time (None until set from the server). | bigquery/google/cloud/bigquery/job.py | def created(self):
"""Datetime at which the job was created.
:rtype: ``datetime.datetime``, or ``NoneType``
:returns: the creation time (None until set from the server).
"""
statistics = self._properties.get("statistics")
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"""Datetime at which the job was created.
:rtype: ``datetime.datetime``, or ``NoneType``
:returns: the creation time (None until set from the server).
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train | _AsyncJob.started | Datetime at which the job was started.
:rtype: ``datetime.datetime``, or ``NoneType``
:returns: the start time (None until set from the server). | bigquery/google/cloud/bigquery/job.py | def started(self):
"""Datetime at which the job was started.
:rtype: ``datetime.datetime``, or ``NoneType``
:returns: the start time (None until set from the server).
"""
statistics = self._properties.get("statistics")
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"""Datetime at which the job was started.
:rtype: ``datetime.datetime``, or ``NoneType``
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train | _AsyncJob.ended | Datetime at which the job finished.
:rtype: ``datetime.datetime``, or ``NoneType``
:returns: the end time (None until set from the server). | bigquery/google/cloud/bigquery/job.py | def ended(self):
"""Datetime at which the job finished.
:rtype: ``datetime.datetime``, or ``NoneType``
:returns: the end time (None until set from the server).
"""
statistics = self._properties.get("statistics")
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"""Datetime at which the job finished.
:rtype: ``datetime.datetime``, or ``NoneType``
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train | _AsyncJob._job_statistics | Helper for job-type specific statistics-based properties. | bigquery/google/cloud/bigquery/job.py | def _job_statistics(self):
"""Helper for job-type specific statistics-based properties."""
statistics = self._properties.get("statistics", {})
return statistics.get(self._JOB_TYPE, {}) | def _job_statistics(self):
"""Helper for job-type specific statistics-based properties."""
statistics = self._properties.get("statistics", {})
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train | _AsyncJob._set_properties | Update properties from resource in body of ``api_response``
:type api_response: dict
:param api_response: response returned from an API call | bigquery/google/cloud/bigquery/job.py | def _set_properties(self, api_response):
"""Update properties from resource in body of ``api_response``
:type api_response: dict
:param api_response: response returned from an API call
"""
cleaned = api_response.copy()
self._scrub_local_properties(cleaned)
stati... | def _set_properties(self, api_response):
"""Update properties from resource in body of ``api_response``
:type api_response: dict
:param api_response: response returned from an API call
"""
cleaned = api_response.copy()
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train | _AsyncJob._get_resource_config | Helper for :meth:`from_api_repr`
:type resource: dict
:param resource: resource for the job
:rtype: dict
:returns: tuple (string, dict), where the first element is the
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:raises: :class:`KeyError` if the... | bigquery/google/cloud/bigquery/job.py | def _get_resource_config(cls, resource):
"""Helper for :meth:`from_api_repr`
:type resource: dict
:param resource: resource for the job
:rtype: dict
:returns: tuple (string, dict), where the first element is the
job ID and the second contains job-specific conf... | def _get_resource_config(cls, resource):
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:returns: tuple (string, dict), where the first element is the
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train | _AsyncJob._begin | API call: begin the job via a POST request
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/insert
:type client: :class:`~google.cloud.bigquery.client.Client` or
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:param client: the client to use. If not passed, falls back to the
... | bigquery/google/cloud/bigquery/job.py | def _begin(self, client=None, retry=DEFAULT_RETRY):
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See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/insert
:type client: :class:`~google.cloud.bigquery.client.Client` or
``NoneType``
:param c... | def _begin(self, client=None, retry=DEFAULT_RETRY):
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See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/insert
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train | _AsyncJob.exists | 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
:type client: :class:`~google.cloud.bigquery.client.Client` or
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:param client: the client to use. If not passed, falls... | bigquery/google/cloud/bigquery/job.py | def exists(self, client=None, retry=DEFAULT_RETRY):
"""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
:type client: :class:`~google.cloud.bigquery.client.Client` or
``NoneType``
... | def exists(self, client=None, retry=DEFAULT_RETRY):
"""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
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train | _AsyncJob.reload | API call: refresh job properties via a GET request.
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:type client: :class:`~google.cloud.bigquery.client.Client` or
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:param client: the client to use. If not passed, falls back to t... | bigquery/google/cloud/bigquery/job.py | def reload(self, client=None, retry=DEFAULT_RETRY):
"""API call: refresh job properties via a GET request.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/get
:type client: :class:`~google.cloud.bigquery.client.Client` or
``NoneType``
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See
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train | _AsyncJob.cancel | API call: cancel job via a POST request
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See
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:type client: :class:`~google.cloud.bigquery.client.Client` or
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See
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train | _AsyncJob._set_future_result | Set the result or exception from the job if it is complete. | bigquery/google/cloud/bigquery/job.py | def _set_future_result(self):
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train | _AsyncJob.done | Refresh the job and checks if it is complete.
:type retry: :class:`google.api_core.retry.Retry`
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:returns: True if the job is complete, False otherwise. | bigquery/google/cloud/bigquery/job.py | def done(self, retry=DEFAULT_RETRY):
"""Refresh the job and checks if it is complete.
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:param retry: (Optional) How to retry the RPC.
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train | _AsyncJob.result | Start the job and wait for it to complete and get the result.
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How long (in seconds) to wait for job to complete before raising
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train | _JobConfig._get_sub_prop | Get a value in the ``self._properties[self._job_type]`` dictionary.
Most job properties are inside the dictionary related to the job type
(e.g. 'copy', 'extract', 'load', 'query'). Use this method to access
those properties::
self._get_sub_prop('destinationTable')
This is ... | bigquery/google/cloud/bigquery/job.py | def _get_sub_prop(self, key, default=None):
"""Get a value in the ``self._properties[self._job_type]`` dictionary.
Most job properties are inside the dictionary related to the job type
(e.g. 'copy', 'extract', 'load', 'query'). Use this method to access
those properties::
s... | def _get_sub_prop(self, key, default=None):
"""Get a value in the ``self._properties[self._job_type]`` dictionary.
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train | _JobConfig._set_sub_prop | Set a value in the ``self._properties[self._job_type]`` dictionary.
Most job properties are inside the dictionary related to the job type
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those properties::
self._set_sub_prop('useLegacySql', False)
This is ... | bigquery/google/cloud/bigquery/job.py | def _set_sub_prop(self, key, value):
"""Set a value in the ``self._properties[self._job_type]`` dictionary.
Most job properties are inside the dictionary related to the job type
(e.g. 'copy', 'extract', 'load', 'query'). Use this method to set
those properties::
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Most job properties are inside the dictionary related to the job type
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train | _JobConfig._del_sub_prop | Remove ``key`` from the ``self._properties[self._job_type]`` dict.
Most job properties are inside the dictionary related to the job type
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those properties::
self._del_sub_prop('useLegacySql')
This is equiva... | bigquery/google/cloud/bigquery/job.py | def _del_sub_prop(self, key):
"""Remove ``key`` from the ``self._properties[self._job_type]`` dict.
Most job properties are inside the dictionary related to the job type
(e.g. 'copy', 'extract', 'load', 'query'). Use this method to clear
those properties::
self._del_sub_pro... | def _del_sub_prop(self, key):
"""Remove ``key`` from the ``self._properties[self._job_type]`` dict.
Most job properties are inside the dictionary related to the job type
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train | _JobConfig._fill_from_default | Merge this job config with a default job config.
The keys in this object take precedence over the keys in the default
config. The merge is done at the top-level as well as for keys one
level below the job type.
Arguments:
default_job_config (google.cloud.bigquery.job._JobCo... | bigquery/google/cloud/bigquery/job.py | def _fill_from_default(self, default_job_config):
"""Merge this job config with a default job config.
The keys in this object take precedence over the keys in the default
config. The merge is done at the top-level as well as for keys one
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"""Merge this job config with a default job config.
The keys in this object take precedence over the keys in the default
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train | _JobConfig.from_api_repr | Factory: construct a job configuration given its API representation
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:param resource:
An extract job configuration in the same representation as is
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:rtype: :class:`google.cloud.bigquery.job._JobConfig`
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train | LoadJobConfig.destination_encryption_configuration | google.cloud.bigquery.table.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/jobs#... | bigquery/google/cloud/bigquery/job.py | def destination_encryption_configuration(self):
"""google.cloud.bigquery.table.EncryptionConfiguration: Custom
encryption configuration for the destination table.
Custom encryption configuration (e.g., Cloud KMS keys) or :data:`None`
if using default encryption.
See
htt... | def destination_encryption_configuration(self):
"""google.cloud.bigquery.table.EncryptionConfiguration: Custom
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Custom encryption configuration (e.g., Cloud KMS keys) or :data:`None`
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train | LoadJobConfig.schema | List[google.cloud.bigquery.schema.SchemaField]: Schema of the
destination table.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.load.schema | bigquery/google/cloud/bigquery/job.py | def schema(self):
"""List[google.cloud.bigquery.schema.SchemaField]: Schema of the
destination table.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.load.schema
"""
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"""List[google.cloud.bigquery.schema.SchemaField]: Schema of the
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See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.load.schema
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train | LoadJobConfig.time_partitioning | google.cloud.bigquery.table.TimePartitioning: Specifies time-based
partitioning for the destination table. | bigquery/google/cloud/bigquery/job.py | def time_partitioning(self):
"""google.cloud.bigquery.table.TimePartitioning: Specifies time-based
partitioning for the destination table.
"""
prop = self._get_sub_prop("timePartitioning")
if prop is not None:
prop = TimePartitioning.from_api_repr(prop)
return... | def time_partitioning(self):
"""google.cloud.bigquery.table.TimePartitioning: Specifies time-based
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prop = self._get_sub_prop("timePartitioning")
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train | LoadJob.to_api_repr | Generate a resource for :meth:`_begin`. | bigquery/google/cloud/bigquery/job.py | def to_api_repr(self):
"""Generate a resource for :meth:`_begin`."""
configuration = self._configuration.to_api_repr()
if self.source_uris is not None:
_helpers._set_sub_prop(
configuration, ["load", "sourceUris"], self.source_uris
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_helpers._set_... | def to_api_repr(self):
"""Generate a resource for :meth:`_begin`."""
configuration = self._configuration.to_api_repr()
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_helpers._set_sub_prop(
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train | LoadJob.from_api_repr | Factory: construct a job given its API representation
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the client's project.
:type resource: dict
:param resource: dataset job representation returned from the API
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"""Factory: construct a job given its API representation
.. note:
This method assumes that the project found in the resource matches
the client's project.
:type resource: dict
:param resource: dataset job representation ... | def from_api_repr(cls, resource, client):
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train | CopyJob.to_api_repr | Generate a resource for :meth:`_begin`. | bigquery/google/cloud/bigquery/job.py | def to_api_repr(self):
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train | CopyJob.from_api_repr | Factory: construct a job given its API representation
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train | ExtractJob.destination_uri_file_counts | Return file counts from job statistics, if present.
See:
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Returns:
a list of integer counts, each representing the number of files
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See:
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train | ExtractJob.to_api_repr | Generate a resource for :meth:`_begin`. | bigquery/google/cloud/bigquery/job.py | def to_api_repr(self):
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source_ref = {
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train | ExtractJob.from_api_repr | Factory: construct a job given its API representation
.. note:
This method assumes that the project found in the resource matches
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:type resource: dict
:param resource: dataset job representation returned from the API
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train | QueryJobConfig.default_dataset | google.cloud.bigquery.dataset.DatasetReference: the default dataset
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train | QueryJobConfig.table_definitions | Dict[str, google.cloud.bigquery.external_config.ExternalConfig]:
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See
https://g.co/cloud/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions | bigquery/google/cloud/bigquery/job.py | def table_definitions(self):
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See
https://g.co/cloud/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions
"""
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See
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train | QueryJobConfig.to_api_repr | Build an API representation of the query job config.
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"""Build an API representation of the query job config.
Returns:
dict: A dictionary in the format used by the BigQuery API.
"""
resource = copy.deepcopy(self._properties)
# Query parameters have an addition property associated with them
... | def to_api_repr(self):
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resource = copy.deepcopy(self._properties)
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train | QueryJob.to_api_repr | Generate a resource for :meth:`_begin`. | bigquery/google/cloud/bigquery/job.py | def to_api_repr(self):
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configuration = self._configuration.to_api_repr()
resource = {
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train | QueryJob.from_api_repr | Factory: construct a job given its API representation
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:param client: Client which holds credentials and project
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train | QueryJob.query_plan | Return query plan from job statistics, if present.
See:
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See:
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:rtype: list of :class:`QueryPlanEntry`
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See:
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train | QueryJob.timeline | List(TimelineEntry): Return the query execution timeline
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"""List(TimelineEntry): Return the query execution timeline
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"""
raw = self._job_statistics().get("timeline", ())
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train | QueryJob.total_bytes_processed | Return total bytes processed from job statistics, if present.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.totalBytesProcessed
:rtype: int or None
:returns: total bytes processed by the job, or None if job is not
yet complete. | bigquery/google/cloud/bigquery/job.py | def total_bytes_processed(self):
"""Return total bytes processed from job statistics, if present.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.totalBytesProcessed
:rtype: int or None
:returns: total bytes processed by the job, or None if j... | def total_bytes_processed(self):
"""Return total bytes processed from job statistics, if present.
See:
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train | QueryJob.total_bytes_billed | Return total bytes billed from job statistics, if present.
See:
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See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.totalBytesBilled
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See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.totalBytesBilled
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train | QueryJob.ddl_target_table | Optional[TableReference]: Return the DDL target table, present
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See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.ddlTargetTable | bigquery/google/cloud/bigquery/job.py | def ddl_target_table(self):
"""Optional[TableReference]: Return the DDL target table, present
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See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.ddlTargetTable
"""
prop = self._job_statistics().get(... | def ddl_target_table(self):
"""Optional[TableReference]: Return the DDL target table, present
for CREATE/DROP TABLE/VIEW queries.
See:
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train | QueryJob.num_dml_affected_rows | Return the number of DML rows affected by the job.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.numDmlAffectedRows
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"""Return the number of DML rows affected by the job.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.numDmlAffectedRows
:rtype: int or None
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See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.numDmlAffectedRows
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train | QueryJob.referenced_tables | Return referenced tables from job statistics, if present.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.referencedTables
:rtype: list of dict
:returns: mappings describing the query plan, or an empty list
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"""Return referenced tables from job statistics, if present.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.referencedTables
:rtype: list of dict
:returns: mappings describing the query plan, or an empty list
... | def referenced_tables(self):
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See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.referencedTables
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:returns: mappings describing the query plan, or an empty list
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train | QueryJob.undeclared_query_parameters | Return undeclared query parameters from job statistics, if present.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.undeclaredQueryParameters
:rtype:
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"""Return undeclared query parameters from job statistics, if present.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.undeclaredQueryParameters
:rtype:
list of
:class:`~google.cloud.bigq... | def undeclared_query_parameters(self):
"""Return undeclared query parameters from job statistics, if present.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.undeclaredQueryParameters
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train | QueryJob.estimated_bytes_processed | Return the estimated number of bytes processed by the query.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.estimatedBytesProcessed
:rtype: int or None
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"""Return the estimated number of bytes processed by the query.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.estimatedBytesProcessed
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See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.estimatedBytesProcessed
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train | QueryJob.done | Refresh the job and checks if it is complete.
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"""Refresh the job and checks if it is complete.
:rtype: bool
:returns: True if the job is complete, False otherwise.
"""
# Since the API to getQueryResults can hang up to the timeout value
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train | QueryJob.result | Start the job and wait for it to complete and get the result.
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train | QueryJob.to_dataframe | Return a pandas DataFrame from a QueryJob
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**Alpha Feature** Optional. A BigQuery Storage API client. If
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Args:
bqstorage_client ( \
google.cloud.bigquery_storage_v1beta1.BigQueryStorageClient \
):
**Alpha Feature** Optional... | def to_dataframe(self, bqstorage_client=None, dtypes=None, progress_bar_type=None):
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train | QueryPlanEntryStep.from_api_repr | Factory: construct instance from the JSON repr.
:type resource: dict
:param resource: JSON representation of the entry
:rtype: :class:`QueryPlanEntryStep`
:return: new instance built from the resource | bigquery/google/cloud/bigquery/job.py | def from_api_repr(cls, resource):
"""Factory: construct instance from the JSON repr.
:type resource: dict
:param resource: JSON representation of the entry
:rtype: :class:`QueryPlanEntryStep`
:return: new instance built from the resource
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return cls(kind=reso... | def from_api_repr(cls, resource):
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train | QueryPlanEntry.start | Union[Datetime, None]: Datetime when the stage started. | bigquery/google/cloud/bigquery/job.py | def start(self):
"""Union[Datetime, None]: Datetime when the stage started."""
if self._properties.get("startMs") is None:
return None
return _helpers._datetime_from_microseconds(
int(self._properties.get("startMs")) * 1000.0
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"""Union[Datetime, None]: Datetime when the stage started."""
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train | QueryPlanEntry.end | Union[Datetime, None]: Datetime when the stage ended. | bigquery/google/cloud/bigquery/job.py | def end(self):
"""Union[Datetime, None]: Datetime when the stage ended."""
if self._properties.get("endMs") is None:
return None
return _helpers._datetime_from_microseconds(
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train | QueryPlanEntry.input_stages | List(int): Entry IDs for stages that were inputs for this stage. | bigquery/google/cloud/bigquery/job.py | def input_stages(self):
"""List(int): Entry IDs for stages that were inputs for this stage."""
if self._properties.get("inputStages") is None:
return []
return [
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train | UnknownJob.from_api_repr | Construct an UnknownJob from the JSON representation.
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resource (dict): JSON representation of a job.
client (google.cloud.bigquery.client.Client):
Client connected to BigQuery API.
Returns:
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resource (dict): JSON representation of a job.
client (google.cloud.bigquery.client.Client):
Client connected to BigQuery API.
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train | ManagedZone.from_api_repr | Factory: construct a zone given its API representation
:type resource: dict
:param resource: zone resource representation returned from the API
:type client: :class:`google.cloud.dns.client.Client`
:param client: Client which holds credentials and project
config... | dns/google/cloud/dns/zone.py | def from_api_repr(cls, resource, client):
"""Factory: construct a zone given its API representation
:type resource: dict
:param resource: zone resource representation returned from the API
:type client: :class:`google.cloud.dns.client.Client`
:param client: Client which holds ... | def from_api_repr(cls, resource, client):
"""Factory: construct a zone given its API representation
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train | ManagedZone.description | Update description of the zone.
:type value: str
:param value: (Optional) new description
:raises: ValueError for invalid value types. | dns/google/cloud/dns/zone.py | def description(self, value):
"""Update description of the zone.
:type value: str
:param value: (Optional) new description
:raises: ValueError for invalid value types.
"""
if not isinstance(value, six.string_types) and value is not None:
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"""
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train | ManagedZone.name_server_set | Update named set of DNS name servers.
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:param value: (Optional) new title
:raises: ValueError for invalid value types. | dns/google/cloud/dns/zone.py | def name_server_set(self, value):
"""Update named set of DNS name servers.
:type value: str
:param value: (Optional) new title
:raises: ValueError for invalid value types.
"""
if not isinstance(value, six.string_types) and value is not None:
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train | ManagedZone.resource_record_set | Construct a resource record set bound to this zone.
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:param name: Name of the record set.
:type record_type: str
:param record_type: RR type
:type ttl: int
:param ttl: TTL for the RR, in seconds
:type rrdatas: list of string
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"""Construct a resource record set bound to this zone.
:type name: str
:param name: Name of the record set.
:type record_type: str
:param record_type: RR type
:type ttl: int
:param ttl: TTL for the... | def resource_record_set(self, name, record_type, ttl, rrdatas):
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:param name: Name of the record set.
:type record_type: str
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train | ManagedZone._set_properties | Update properties from resource in body of ``api_response``
:type api_response: dict
:param api_response: response returned from an API call | dns/google/cloud/dns/zone.py | def _set_properties(self, api_response):
"""Update properties from resource in body of ``api_response``
:type api_response: dict
:param api_response: response returned from an API call
"""
self._properties.clear()
cleaned = api_response.copy()
self.dns_name = cle... | def _set_properties(self, api_response):
"""Update properties from resource in body of ``api_response``
:type api_response: dict
:param api_response: response returned from an API call
"""
self._properties.clear()
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train | ManagedZone._build_resource | Generate a resource for ``create`` or ``update``. | dns/google/cloud/dns/zone.py | def _build_resource(self):
"""Generate a resource for ``create`` or ``update``."""
resource = {"name": self.name}
if self.dns_name is not None:
resource["dnsName"] = self.dns_name
if self.description is not None:
resource["description"] = self.description
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"""Generate a resource for ``create`` or ``update``."""
resource = {"name": self.name}
if self.dns_name is not None:
resource["dnsName"] = self.dns_name
if self.description is not None:
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train | ManagedZone.create | API call: create the zone via a PUT request
See
https://cloud.google.com/dns/api/v1/managedZones/create
:type client: :class:`google.cloud.dns.client.Client`
:param client:
(Optional) the client to use. If not passed, falls back to the
``client`` stored on the... | dns/google/cloud/dns/zone.py | def create(self, client=None):
"""API call: create the zone via a PUT request
See
https://cloud.google.com/dns/api/v1/managedZones/create
:type client: :class:`google.cloud.dns.client.Client`
:param client:
(Optional) the client to use. If not passed, falls back t... | def create(self, client=None):
"""API call: create the zone via a PUT request
See
https://cloud.google.com/dns/api/v1/managedZones/create
:type client: :class:`google.cloud.dns.client.Client`
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train | ManagedZone.delete | API call: delete the zone via a DELETE request
See
https://cloud.google.com/dns/api/v1/managedZones/delete
:type client: :class:`google.cloud.dns.client.Client`
:param client:
(Optional) the client to use. If not passed, falls back to the
``client`` stored on ... | dns/google/cloud/dns/zone.py | def delete(self, client=None):
"""API call: delete the zone via a DELETE request
See
https://cloud.google.com/dns/api/v1/managedZones/delete
:type client: :class:`google.cloud.dns.client.Client`
:param client:
(Optional) the client to use. If not passed, falls bac... | def delete(self, client=None):
"""API call: delete the zone via a DELETE request
See
https://cloud.google.com/dns/api/v1/managedZones/delete
:type client: :class:`google.cloud.dns.client.Client`
:param client:
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train | ManagedZone.list_resource_record_sets | List resource record sets for this zone.
See
https://cloud.google.com/dns/api/v1/resourceRecordSets/list
:type max_results: int
:param max_results: Optional. The maximum number of resource record
sets to return. Defaults to a sensible value
... | dns/google/cloud/dns/zone.py | def list_resource_record_sets(self, max_results=None, page_token=None, client=None):
"""List resource record sets for this zone.
See
https://cloud.google.com/dns/api/v1/resourceRecordSets/list
:type max_results: int
:param max_results: Optional. The maximum number of resource r... | def list_resource_record_sets(self, max_results=None, page_token=None, client=None):
"""List resource record sets for this zone.
See
https://cloud.google.com/dns/api/v1/resourceRecordSets/list
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train | VisionHelpers.annotate_image | Run image detection and annotation for an image.
Example:
>>> from google.cloud.vision_v1 import ImageAnnotatorClient
>>> client = ImageAnnotatorClient()
>>> request = {
... 'image': {
... 'source': {'image_uri': 'https://foo.com/image.jpg... | vision/google/cloud/vision_helpers/__init__.py | def annotate_image(self, request, retry=None, timeout=None):
"""Run image detection and annotation for an image.
Example:
>>> from google.cloud.vision_v1 import ImageAnnotatorClient
>>> client = ImageAnnotatorClient()
>>> request = {
... 'image': {
... | def annotate_image(self, request, retry=None, timeout=None):
"""Run image detection and annotation for an image.
Example:
>>> from google.cloud.vision_v1 import ImageAnnotatorClient
>>> client = ImageAnnotatorClient()
>>> request = {
... 'image': {
... | [
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train | delete_model | Sample ID: go/samples-tracker/1534 | bigquery/samples/delete_model.py | def delete_model(client, model_id):
"""Sample ID: go/samples-tracker/1534"""
# [START bigquery_delete_model]
from google.cloud import bigquery
# TODO(developer): Construct a BigQuery client object.
# client = bigquery.Client()
# TODO(developer): Set model_id to the ID of the model to fetch.
... | def delete_model(client, model_id):
"""Sample ID: go/samples-tracker/1534"""
# [START bigquery_delete_model]
from google.cloud import bigquery
# TODO(developer): Construct a BigQuery client object.
# client = bigquery.Client()
# TODO(developer): Set model_id to the ID of the model to fetch.
... | [
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train | list_models | Sample ID: go/samples-tracker/1512 | bigquery/samples/list_models.py | def list_models(client, dataset_id):
"""Sample ID: go/samples-tracker/1512"""
# [START bigquery_list_models]
from google.cloud import bigquery
# TODO(developer): Construct a BigQuery client object.
# client = bigquery.Client()
# TODO(developer): Set dataset_id to the ID of the dataset that co... | def list_models(client, dataset_id):
"""Sample ID: go/samples-tracker/1512"""
# [START bigquery_list_models]
from google.cloud import bigquery
# TODO(developer): Construct a BigQuery client object.
# client = bigquery.Client()
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train | JobServiceClient.job_path | Return a fully-qualified job string. | talent/google/cloud/talent_v4beta1/gapic/job_service_client.py | def job_path(cls, project, jobs):
"""Return a fully-qualified job string."""
return google.api_core.path_template.expand(
"projects/{project}/jobs/{jobs}", project=project, jobs=jobs
) | def job_path(cls, project, jobs):
"""Return a fully-qualified job string."""
return google.api_core.path_template.expand(
"projects/{project}/jobs/{jobs}", project=project, jobs=jobs
) | [
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train | JobServiceClient.create_job | Creates a new job.
Typically, the job becomes searchable within 10 seconds, but it may take
up to 5 minutes.
Example:
>>> from google.cloud import talent_v4beta1
>>>
>>> client = talent_v4beta1.JobServiceClient()
>>>
>>> parent = clie... | talent/google/cloud/talent_v4beta1/gapic/job_service_client.py | def create_job(
self,
parent,
job,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a new job.
Typically, the job becomes searchable within 10 seconds, but it may tak... | def create_job(
self,
parent,
job,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a new job.
Typically, the job becomes searchable within 10 seconds, but it may tak... | [
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train | JobServiceClient.get_job | Retrieves the specified job, whose status is OPEN or recently EXPIRED
within the last 90 days.
Example:
>>> from google.cloud import talent_v4beta1
>>>
>>> client = talent_v4beta1.JobServiceClient()
>>>
>>> name = client.job_path('[PROJECT]', ... | talent/google/cloud/talent_v4beta1/gapic/job_service_client.py | def get_job(
self,
name,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Retrieves the specified job, whose status is OPEN or recently EXPIRED
within the last 90 days.
Examp... | def get_job(
self,
name,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Retrieves the specified job, whose status is OPEN or recently EXPIRED
within the last 90 days.
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train | JobServiceClient.batch_delete_jobs | Deletes a list of ``Job``\ s by filter.
Example:
>>> from google.cloud import talent_v4beta1
>>>
>>> client = talent_v4beta1.JobServiceClient()
>>>
>>> parent = client.project_path('[PROJECT]')
>>>
>>> # TODO: Initialize `filte... | talent/google/cloud/talent_v4beta1/gapic/job_service_client.py | def batch_delete_jobs(
self,
parent,
filter_,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Deletes a list of ``Job``\ s by filter.
Example:
>>> from google.cl... | def batch_delete_jobs(
self,
parent,
filter_,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Deletes a list of ``Job``\ s by filter.
Example:
>>> from google.cl... | [
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] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/talent/google/cloud/talent_v4beta1/gapic/job_service_client.py#L595-L668 | [
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train | JobServiceClient.search_jobs | Searches for jobs using the provided ``SearchJobsRequest``.
This call constrains the ``visibility`` of jobs present in the database,
and only returns jobs that the caller has permission to search against.
Example:
>>> from google.cloud import talent_v4beta1
>>>
... | talent/google/cloud/talent_v4beta1/gapic/job_service_client.py | def search_jobs(
self,
parent,
request_metadata,
search_mode=None,
job_query=None,
enable_broadening=None,
require_precise_result_size=None,
histogram_queries=None,
job_view=None,
offset=None,
page_size=None,
order_by=None,
... | def search_jobs(
self,
parent,
request_metadata,
search_mode=None,
job_query=None,
enable_broadening=None,
require_precise_result_size=None,
histogram_queries=None,
job_view=None,
offset=None,
page_size=None,
order_by=None,
... | [
"Searches",
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] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/talent/google/cloud/talent_v4beta1/gapic/job_service_client.py#L670-L1024 | [
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train | _compute_type_url | Compute a type URL for a klass.
:type klass: type
:param klass: class to be used as a factory for the given type
:type prefix: str
:param prefix: URL prefix for the type
:rtype: str
:returns: the URL, prefixed as appropriate | core/google/cloud/operation.py | def _compute_type_url(klass, prefix=_GOOGLE_APIS_PREFIX):
"""Compute a type URL for a klass.
:type klass: type
:param klass: class to be used as a factory for the given type
:type prefix: str
:param prefix: URL prefix for the type
:rtype: str
:returns: the URL, prefixed as appropriate
... | def _compute_type_url(klass, prefix=_GOOGLE_APIS_PREFIX):
"""Compute a type URL for a klass.
:type klass: type
:param klass: class to be used as a factory for the given type
:type prefix: str
:param prefix: URL prefix for the type
:rtype: str
:returns: the URL, prefixed as appropriate
... | [
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train | register_type | Register a klass as the factory for a given type URL.
:type klass: :class:`type`
:param klass: class to be used as a factory for the given type
:type type_url: str
:param type_url: (Optional) URL naming the type. If not provided,
infers the URL from the type descriptor.
:rais... | core/google/cloud/operation.py | def register_type(klass, type_url=None):
"""Register a klass as the factory for a given type URL.
:type klass: :class:`type`
:param klass: class to be used as a factory for the given type
:type type_url: str
:param type_url: (Optional) URL naming the type. If not provided,
inf... | def register_type(klass, type_url=None):
"""Register a klass as the factory for a given type URL.
:type klass: :class:`type`
:param klass: class to be used as a factory for the given type
:type type_url: str
:param type_url: (Optional) URL naming the type. If not provided,
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train | _from_any | Convert an ``Any`` protobuf into the actual class.
Uses the type URL to do the conversion.
.. note::
This assumes that the type URL is already registered.
:type any_pb: :class:`google.protobuf.any_pb2.Any`
:param any_pb: An any object to be converted.
:rtype: object
:returns: The in... | core/google/cloud/operation.py | def _from_any(any_pb):
"""Convert an ``Any`` protobuf into the actual class.
Uses the type URL to do the conversion.
.. note::
This assumes that the type URL is already registered.
:type any_pb: :class:`google.protobuf.any_pb2.Any`
:param any_pb: An any object to be converted.
:rtyp... | def _from_any(any_pb):
"""Convert an ``Any`` protobuf into the actual class.
Uses the type URL to do the conversion.
.. note::
This assumes that the type URL is already registered.
:type any_pb: :class:`google.protobuf.any_pb2.Any`
:param any_pb: An any object to be converted.
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train | Operation.from_pb | Factory: construct an instance from a protobuf.
:type operation_pb:
:class:`~google.longrunning.operations_pb2.Operation`
:param operation_pb: Protobuf to be parsed.
:type client: object: must provide ``_operations_stub`` accessor.
:param client: The client used to poll fo... | core/google/cloud/operation.py | def from_pb(cls, operation_pb, client, **caller_metadata):
"""Factory: construct an instance from a protobuf.
:type operation_pb:
:class:`~google.longrunning.operations_pb2.Operation`
:param operation_pb: Protobuf to be parsed.
:type client: object: must provide ``_operati... | def from_pb(cls, operation_pb, client, **caller_metadata):
"""Factory: construct an instance from a protobuf.
:type operation_pb:
:class:`~google.longrunning.operations_pb2.Operation`
:param operation_pb: Protobuf to be parsed.
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train | Operation.from_dict | Factory: construct an instance from a dictionary.
:type operation: dict
:param operation: Operation as a JSON object.
:type client: :class:`~google.cloud.client.Client`
:param client: The client used to poll for the status of the operation.
:type caller_metadata: dict
... | core/google/cloud/operation.py | def from_dict(cls, operation, client, **caller_metadata):
"""Factory: construct an instance from a dictionary.
:type operation: dict
:param operation: Operation as a JSON object.
:type client: :class:`~google.cloud.client.Client`
:param client: The client used to poll for the s... | def from_dict(cls, operation, client, **caller_metadata):
"""Factory: construct an instance from a dictionary.
:type operation: dict
:param operation: Operation as a JSON object.
:type client: :class:`~google.cloud.client.Client`
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train | Operation._get_operation_rpc | Polls the status of the current operation.
Uses gRPC request to check.
:rtype: :class:`~google.longrunning.operations_pb2.Operation`
:returns: The latest status of the current operation. | core/google/cloud/operation.py | def _get_operation_rpc(self):
"""Polls the status of the current operation.
Uses gRPC request to check.
:rtype: :class:`~google.longrunning.operations_pb2.Operation`
:returns: The latest status of the current operation.
"""
request_pb = operations_pb2.GetOperationReques... | def _get_operation_rpc(self):
"""Polls the status of the current operation.
Uses gRPC request to check.
:rtype: :class:`~google.longrunning.operations_pb2.Operation`
:returns: The latest status of the current operation.
"""
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train | Operation._get_operation_http | Checks the status of the current operation.
Uses HTTP request to check.
:rtype: :class:`~google.longrunning.operations_pb2.Operation`
:returns: The latest status of the current operation. | core/google/cloud/operation.py | def _get_operation_http(self):
"""Checks the status of the current operation.
Uses HTTP request to check.
:rtype: :class:`~google.longrunning.operations_pb2.Operation`
:returns: The latest status of the current operation.
"""
path = "operations/%s" % (self.name,)
... | def _get_operation_http(self):
"""Checks the status of the current operation.
Uses HTTP request to check.
:rtype: :class:`~google.longrunning.operations_pb2.Operation`
:returns: The latest status of the current operation.
"""
path = "operations/%s" % (self.name,)
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train | Operation._update_state | Update the state of the current object based on operation.
:type operation_pb:
:class:`~google.longrunning.operations_pb2.Operation`
:param operation_pb: Protobuf to be parsed. | core/google/cloud/operation.py | def _update_state(self, operation_pb):
"""Update the state of the current object based on operation.
:type operation_pb:
:class:`~google.longrunning.operations_pb2.Operation`
:param operation_pb: Protobuf to be parsed.
"""
if operation_pb.done:
self._comp... | def _update_state(self, operation_pb):
"""Update the state of the current object based on operation.
:type operation_pb:
:class:`~google.longrunning.operations_pb2.Operation`
:param operation_pb: Protobuf to be parsed.
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train | Operation.poll | Check if the operation has finished.
:rtype: bool
:returns: A boolean indicating if the current operation has completed.
:raises ValueError: if the operation
has already completed. | core/google/cloud/operation.py | def poll(self):
"""Check if the operation has finished.
:rtype: bool
:returns: A boolean indicating if the current operation has completed.
:raises ValueError: if the operation
has already completed.
"""
if self.complete:
raise ValueError("Th... | def poll(self):
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:returns: A boolean indicating if the current operation has completed.
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train | _parse_rmw_row_response | Parses the response to a ``ReadModifyWriteRow`` request.
:type row_response: :class:`.data_v2_pb2.Row`
:param row_response: The response row (with only modified cells) from a
``ReadModifyWriteRow`` request.
:rtype: dict
:returns: The new contents of all modified cells. Returne... | bigtable/google/cloud/bigtable/row.py | def _parse_rmw_row_response(row_response):
"""Parses the response to a ``ReadModifyWriteRow`` request.
:type row_response: :class:`.data_v2_pb2.Row`
:param row_response: The response row (with only modified cells) from a
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:rtype: dict
:return... | def _parse_rmw_row_response(row_response):
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train | _parse_family_pb | Parses a Family protobuf into a dictionary.
:type family_pb: :class:`._generated.data_pb2.Family`
:param family_pb: A protobuf
:rtype: tuple
:returns: A string and dictionary. The string is the name of the
column family and the dictionary has column names (within the
family... | bigtable/google/cloud/bigtable/row.py | def _parse_family_pb(family_pb):
"""Parses a Family protobuf into a dictionary.
:type family_pb: :class:`._generated.data_pb2.Family`
:param family_pb: A protobuf
:rtype: tuple
:returns: A string and dictionary. The string is the name of the
column family and the dictionary has colum... | def _parse_family_pb(family_pb):
"""Parses a Family protobuf into a dictionary.
:type family_pb: :class:`._generated.data_pb2.Family`
:param family_pb: A protobuf
:rtype: tuple
:returns: A string and dictionary. The string is the name of the
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train | _SetDeleteRow._set_cell | Helper for :meth:`set_cell`
Adds a mutation to set the value in a specific cell.
``state`` is unused by :class:`DirectRow` but is used by
subclasses.
:type column_family_id: str
:param column_family_id: The column family that contains the column.
... | bigtable/google/cloud/bigtable/row.py | def _set_cell(self, column_family_id, column, value, timestamp=None, state=None):
"""Helper for :meth:`set_cell`
Adds a mutation to set the value in a specific cell.
``state`` is unused by :class:`DirectRow` but is used by
subclasses.
:type column_family_id: str
:param... | def _set_cell(self, column_family_id, column, value, timestamp=None, state=None):
"""Helper for :meth:`set_cell`
Adds a mutation to set the value in a specific cell.
``state`` is unused by :class:`DirectRow` but is used by
subclasses.
:type column_family_id: str
:param... | [
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train | _SetDeleteRow._delete | Helper for :meth:`delete`
Adds a delete mutation (for the entire row) to the accumulated
mutations.
``state`` is unused by :class:`DirectRow` but is used by
subclasses.
:type state: bool
:param state: (Optional) The state that is passed along to
:... | bigtable/google/cloud/bigtable/row.py | def _delete(self, state=None):
"""Helper for :meth:`delete`
Adds a delete mutation (for the entire row) to the accumulated
mutations.
``state`` is unused by :class:`DirectRow` but is used by
subclasses.
:type state: bool
:param state: (Optional) The state that ... | def _delete(self, state=None):
"""Helper for :meth:`delete`
Adds a delete mutation (for the entire row) to the accumulated
mutations.
``state`` is unused by :class:`DirectRow` but is used by
subclasses.
:type state: bool
:param state: (Optional) The state that ... | [
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train | _SetDeleteRow._delete_cells | Helper for :meth:`delete_cell` and :meth:`delete_cells`.
``state`` is unused by :class:`DirectRow` but is used by
subclasses.
:type column_family_id: str
:param column_family_id: The column family that contains the column
or columns with cells being del... | bigtable/google/cloud/bigtable/row.py | def _delete_cells(self, column_family_id, columns, time_range=None, state=None):
"""Helper for :meth:`delete_cell` and :meth:`delete_cells`.
``state`` is unused by :class:`DirectRow` but is used by
subclasses.
:type column_family_id: str
:param column_family_id: The column fami... | def _delete_cells(self, column_family_id, columns, time_range=None, state=None):
"""Helper for :meth:`delete_cell` and :meth:`delete_cells`.
``state`` is unused by :class:`DirectRow` but is used by
subclasses.
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train | DirectRow.get_mutations_size | Gets the total mutations size for current row
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_row_get_mutations_size]
:end-before: [END bigtable_row_get_mutations_size] | bigtable/google/cloud/bigtable/row.py | def get_mutations_size(self):
""" Gets the total mutations size for current row
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_row_get_mutations_size]
:end-before: [END bigtable_row_get_mutations_size]
"""
mutation_siz... | def get_mutations_size(self):
""" Gets the total mutations size for current row
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_row_get_mutations_size]
:end-before: [END bigtable_row_get_mutations_size]
"""
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train | DirectRow.set_cell | Sets a value in this row.
The cell is determined by the ``row_key`` of this :class:`DirectRow`
and the ``column``. The ``column`` must be in an existing
:class:`.ColumnFamily` (as determined by ``column_family_id``).
.. note::
This method adds a mutation to the accumulated... | bigtable/google/cloud/bigtable/row.py | def set_cell(self, column_family_id, column, value, timestamp=None):
"""Sets a value in this row.
The cell is determined by the ``row_key`` of this :class:`DirectRow`
and the ``column``. The ``column`` must be in an existing
:class:`.ColumnFamily` (as determined by ``column_family_id``)... | def set_cell(self, column_family_id, column, value, timestamp=None):
"""Sets a value in this row.
The cell is determined by the ``row_key`` of this :class:`DirectRow`
and the ``column``. The ``column`` must be in an existing
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train | DirectRow.delete_cell | Deletes cell in this row.
.. note::
This method adds a mutation to the accumulated mutations on this
row, but does not make an API request. To actually
send an API request (with the mutations) to the Google Cloud
Bigtable API, call :meth:`commit`.
For e... | bigtable/google/cloud/bigtable/row.py | def delete_cell(self, column_family_id, column, time_range=None):
"""Deletes cell in this row.
.. note::
This method adds a mutation to the accumulated mutations on this
row, but does not make an API request. To actually
send an API request (with the mutations) to t... | def delete_cell(self, column_family_id, column, time_range=None):
"""Deletes cell in this row.
.. note::
This method adds a mutation to the accumulated mutations on this
row, but does not make an API request. To actually
send an API request (with the mutations) to t... | [
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train | DirectRow.delete_cells | Deletes cells in this row.
.. note::
This method adds a mutation to the accumulated mutations on this
row, but does not make an API request. To actually
send an API request (with the mutations) to the Google Cloud
Bigtable API, call :meth:`commit`.
For ... | bigtable/google/cloud/bigtable/row.py | def delete_cells(self, column_family_id, columns, time_range=None):
"""Deletes cells in this row.
.. note::
This method adds a mutation to the accumulated mutations on this
row, but does not make an API request. To actually
send an API request (with the mutations) t... | def delete_cells(self, column_family_id, columns, time_range=None):
"""Deletes cells in this row.
.. note::
This method adds a mutation to the accumulated mutations on this
row, but does not make an API request. To actually
send an API request (with the mutations) t... | [
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train | ConditionalRow.commit | Makes a ``CheckAndMutateRow`` API request.
If no mutations have been created in the row, no request is made.
The mutations will be applied conditionally, based on whether the
filter matches any cells in the :class:`ConditionalRow` or not. (Each
method which adds a mutation has a ``stat... | bigtable/google/cloud/bigtable/row.py | def commit(self):
"""Makes a ``CheckAndMutateRow`` API request.
If no mutations have been created in the row, no request is made.
The mutations will be applied conditionally, based on whether the
filter matches any cells in the :class:`ConditionalRow` or not. (Each
method which... | def commit(self):
"""Makes a ``CheckAndMutateRow`` API request.
If no mutations have been created in the row, no request is made.
The mutations will be applied conditionally, based on whether the
filter matches any cells in the :class:`ConditionalRow` or not. (Each
method which... | [
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train | AppendRow.append_cell_value | Appends a value to an existing cell.
.. note::
This method adds a read-modify rule protobuf to the accumulated
read-modify rules on this row, but does not make an API
request. To actually send an API request (with the rules) to the
Google Cloud Bigtable API, cal... | bigtable/google/cloud/bigtable/row.py | def append_cell_value(self, column_family_id, column, value):
"""Appends a value to an existing cell.
.. note::
This method adds a read-modify rule protobuf to the accumulated
read-modify rules on this row, but does not make an API
request. To actually send an API r... | def append_cell_value(self, column_family_id, column, value):
"""Appends a value to an existing cell.
.. note::
This method adds a read-modify rule protobuf to the accumulated
read-modify rules on this row, but does not make an API
request. To actually send an API r... | [
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train | AppendRow.increment_cell_value | Increments a value in an existing cell.
Assumes the value in the cell is stored as a 64 bit integer
serialized to bytes.
.. note::
This method adds a read-modify rule protobuf to the accumulated
read-modify rules on this row, but does not make an API
reques... | bigtable/google/cloud/bigtable/row.py | def increment_cell_value(self, column_family_id, column, int_value):
"""Increments a value in an existing cell.
Assumes the value in the cell is stored as a 64 bit integer
serialized to bytes.
.. note::
This method adds a read-modify rule protobuf to the accumulated
... | def increment_cell_value(self, column_family_id, column, int_value):
"""Increments a value in an existing cell.
Assumes the value in the cell is stored as a 64 bit integer
serialized to bytes.
.. note::
This method adds a read-modify rule protobuf to the accumulated
... | [
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train | AppendRow.commit | Makes a ``ReadModifyWriteRow`` API request.
This commits modifications made by :meth:`append_cell_value` and
:meth:`increment_cell_value`. If no modifications were made, makes
no API request and just returns ``{}``.
Modifies a row atomically, reading the latest existing
timesta... | bigtable/google/cloud/bigtable/row.py | def commit(self):
"""Makes a ``ReadModifyWriteRow`` API request.
This commits modifications made by :meth:`append_cell_value` and
:meth:`increment_cell_value`. If no modifications were made, makes
no API request and just returns ``{}``.
Modifies a row atomically, reading the la... | def commit(self):
"""Makes a ``ReadModifyWriteRow`` API request.
This commits modifications made by :meth:`append_cell_value` and
:meth:`increment_cell_value`. If no modifications were made, makes
no API request and just returns ``{}``.
Modifies a row atomically, reading the la... | [
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train | _retry_from_retry_config | Creates a Retry object given a gapic retry configuration.
Args:
retry_params (dict): The retry parameter values, for example::
{
"initial_retry_delay_millis": 1000,
"retry_delay_multiplier": 2.5,
"max_retry_delay_millis": 120000,
... | api_core/google/api_core/gapic_v1/config.py | def _retry_from_retry_config(retry_params, retry_codes):
"""Creates a Retry object given a gapic retry configuration.
Args:
retry_params (dict): The retry parameter values, for example::
{
"initial_retry_delay_millis": 1000,
"retry_delay_multiplier": 2.5,
... | def _retry_from_retry_config(retry_params, retry_codes):
"""Creates a Retry object given a gapic retry configuration.
Args:
retry_params (dict): The retry parameter values, for example::
{
"initial_retry_delay_millis": 1000,
"retry_delay_multiplier": 2.5,
... | [
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train | _timeout_from_retry_config | Creates a ExponentialTimeout object given a gapic retry configuration.
Args:
retry_params (dict): The retry parameter values, for example::
{
"initial_retry_delay_millis": 1000,
"retry_delay_multiplier": 2.5,
"max_retry_delay_millis": 120000,
... | api_core/google/api_core/gapic_v1/config.py | def _timeout_from_retry_config(retry_params):
"""Creates a ExponentialTimeout object given a gapic retry configuration.
Args:
retry_params (dict): The retry parameter values, for example::
{
"initial_retry_delay_millis": 1000,
"retry_delay_multiplier": 2.5,
... | def _timeout_from_retry_config(retry_params):
"""Creates a ExponentialTimeout object given a gapic retry configuration.
Args:
retry_params (dict): The retry parameter values, for example::
{
"initial_retry_delay_millis": 1000,
"retry_delay_multiplier": 2.5,
... | [
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train | parse_method_configs | Creates default retry and timeout objects for each method in a gapic
interface config.
Args:
interface_config (Mapping): The interface config section of the full
gapic library config. For example, If the full configuration has
an interface named ``google.example.v1.ExampleServic... | api_core/google/api_core/gapic_v1/config.py | def parse_method_configs(interface_config):
"""Creates default retry and timeout objects for each method in a gapic
interface config.
Args:
interface_config (Mapping): The interface config section of the full
gapic library config. For example, If the full configuration has
a... | def parse_method_configs(interface_config):
"""Creates default retry and timeout objects for each method in a gapic
interface config.
Args:
interface_config (Mapping): The interface config section of the full
gapic library config. For example, If the full configuration has
a... | [
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