Search is not available for this dataset
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def to_api_repr(self):
"""Construct JSON API representation for the parameter.
:rtype: dict
:returns: JSON mapping
"""
value = self.value
converter = _SCALAR_VALUE_TO_JSON_PARAM.get(self.type_)
if converter is not None:
value = converter(value)
... |
def from_api_repr(cls, resource):
"""Factory: construct parameter from JSON resource.
:type resource: dict
:param resource: JSON mapping of parameter
:rtype: :class:`~google.cloud.bigquery.query.ArrayQueryParameter`
:returns: instance
"""
array_type = resource["... |
def to_api_repr(self):
"""Construct JSON API representation for the parameter.
:rtype: dict
:returns: JSON mapping
"""
values = self.values
if self.array_type == "RECORD" or self.array_type == "STRUCT":
reprs = [value.to_api_repr() for value in values]
... |
def from_api_repr(cls, resource):
"""Factory: construct parameter from JSON resource.
:type resource: dict
:param resource: JSON mapping of parameter
:rtype: :class:`~google.cloud.bigquery.query.StructQueryParameter`
:returns: instance
"""
name = resource.get("n... |
def to_api_repr(self):
"""Construct JSON API representation for the parameter.
:rtype: dict
:returns: JSON mapping
"""
s_types = {}
values = {}
for name, value in self.struct_values.items():
type_ = self.struct_types[name]
if type_ in ("ST... |
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
"""
job_id_present = (
"jobReference" in api_response
and "jobId" in a... |
def format(self, record):
"""Format the message into JSON expected by fluentd.
:type record: :class:`~logging.LogRecord`
:param record: the log record
:rtype: str
:returns: A JSON string formatted for GKE fluentd.
"""
message = super(ContainerEngineHandler, self... |
def analyze_sentiment(
self,
document,
encoding_type=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Analyzes the sentiment of the provided text.
Example:
... |
def _commit_with_retry(client, write_pbs, transaction_id):
"""Call ``Commit`` on the GAPIC client with retry / sleep.
Retries the ``Commit`` RPC on Unavailable. Usually this RPC-level
retry is handled by the underlying GAPICd client, but in this case it
doesn't because ``Commit`` is not always idempote... |
def _sleep(current_sleep, max_sleep=_MAX_SLEEP, multiplier=_MULTIPLIER):
"""Sleep and produce a new sleep time.
.. _Exponential Backoff And Jitter: https://www.awsarchitectureblog.com/\
2015/03/backoff.html
Select a duration between zero and ``current_sleep``. It mi... |
def _add_write_pbs(self, write_pbs):
"""Add `Write`` protobufs to this transaction.
Args:
write_pbs (List[google.cloud.proto.firestore.v1beta1.\
write_pb2.Write]): A list of write protobufs to be added.
Raises:
ValueError: If this transaction is read-onl... |
def _options_protobuf(self, retry_id):
"""Convert the current object to protobuf.
The ``retry_id`` value is used when retrying a transaction that
failed (e.g. due to contention). It is intended to be the "first"
transaction that failed (i.e. if multiple retries are needed).
Arg... |
def _begin(self, retry_id=None):
"""Begin the transaction.
Args:
retry_id (Optional[bytes]): Transaction ID of a transaction to be
retried.
Raises:
ValueError: If the current transaction has already begun.
"""
if self.in_progress:
... |
def _rollback(self):
"""Roll back the transaction.
Raises:
ValueError: If no transaction is in progress.
"""
if not self.in_progress:
raise ValueError(_CANT_ROLLBACK)
try:
# NOTE: The response is just ``google.protobuf.Empty``.
se... |
def _commit(self):
"""Transactionally commit the changes accumulated.
Returns:
List[google.cloud.proto.firestore.v1beta1.\
write_pb2.WriteResult, ...]: The write results corresponding
to the changes committed, returned in the same order as the
changes... |
def _pre_commit(self, transaction, *args, **kwargs):
"""Begin transaction and call the wrapped callable.
If the callable raises an exception, the transaction will be rolled
back. If not, the transaction will be "ready" for ``Commit`` (i.e.
it will have staged writes).
Args:
... |
def _maybe_commit(self, transaction):
"""Try to commit the transaction.
If the transaction is read-write and the ``Commit`` fails with the
``ABORTED`` status code, it will be retried. Any other failure will
not be caught.
Args:
transaction (~.firestore_v1beta1.trans... |
def profile_path(cls, project, tenant, profile):
"""Return a fully-qualified profile string."""
return google.api_core.path_template.expand(
"projects/{project}/tenants/{tenant}/profiles/{profile}",
project=project,
tenant=tenant,
profile=profile,
... |
def create_profile(
self,
parent,
profile,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates and returns a new profile.
Example:
>>> from google.cloud impo... |
def get_profile(
self,
name,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Gets the specified profile.
Example:
>>> from google.cloud import talent_v4beta1
... |
def update_profile(
self,
profile,
update_mask=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Updates the specified profile and returns the updated result.
Example:
... |
def search_profiles(
self,
parent,
request_metadata,
profile_query=None,
page_size=None,
offset=None,
disable_spell_check=None,
order_by=None,
case_sensitive_sort=None,
histogram_queries=None,
retry=google.api_core.gapic_v1.method.D... |
def predict(
self,
name,
payload,
params=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Perform an online prediction. The prediction result will be directly
re... |
def batch_predict(
self,
name,
input_config,
output_config,
params=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Perform a batch prediction. Unlike the online... |
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
was given to ... |
def _http(self):
"""Getter for object used for HTTP transport.
:rtype: :class:`~requests.Session`
:returns: An HTTP object.
"""
if self._http_internal is None:
self._http_internal = google.auth.transport.requests.AuthorizedSession(
self._credentials
... |
def alert_policy_path(cls, project, alert_policy):
"""Return a fully-qualified alert_policy string."""
return google.api_core.path_template.expand(
"projects/{project}/alertPolicies/{alert_policy}",
project=project,
alert_policy=alert_policy,
) |
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(
"projects/{project}/alertPolicies/{alert_policy}/conditions/{condition}",
project=project,
... |
def _get_many(queue_, max_items=None, max_latency=0):
"""Get multiple items from a Queue.
Gets at least one (blocking) and at most ``max_items`` items
(non-blocking) from a given Queue. Does not mark the items as done.
Args:
queue_ (~queue.Queue`): The Queue to get items from.
max_item... |
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\
/troubleshooting-errors
:type... |
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 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")
if statistics is not None:
millis = s... |
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")
if statistics is not None:
millis = stat... |
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")
if statistics is not None:
millis = statistics.... |
def _job_statistics(self):
"""Helper for job-type specific statistics-based properties."""
statistics = self._properties.get("statistics", {})
return statistics.get(self._JOB_TYPE, {}) |
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 _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 _begin(self, client=None, retry=DEFAULT_RETRY):
"""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
``NoneType``
:param c... |
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 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``
:p... |
def cancel(self, client=None):
"""API call: cancel job via a POST request
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/cancel
:type client: :class:`~google.cloud.bigquery.client.Client` or
``NoneType``
:param client: the client to use... |
def _set_future_result(self):
"""Set the result or exception from the job if it is complete."""
# This must be done in a lock to prevent the polling thread
# and main thread from both executing the completion logic
# at the same time.
with self._completion_lock:
# If ... |
def done(self, retry=DEFAULT_RETRY):
"""Refresh the job and checks if it is complete.
:type retry: :class:`google.api_core.retry.Retry`
:param retry: (Optional) How to retry the RPC.
:rtype: bool
:returns: True if the job is complete, False otherwise.
"""
# Do n... |
def result(self, timeout=None, retry=DEFAULT_RETRY):
"""Start the job and wait for it to complete and get the result.
:type timeout: float
:param timeout:
How long (in seconds) to wait for job to complete before raising
a :class:`concurrent.futures.TimeoutError`.
... |
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 _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::
self._set_s... |
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 _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
level below the job type.
Arguments:
... |
def from_api_repr(cls, resource):
"""Factory: construct a job configuration given its API representation
:type resource: dict
:param resource:
An extract job configuration in the same representation as is
returned from the API.
:rtype: :class:`google.cloud.bigqu... |
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 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
"""
schema = _helpers._get_sub_prop(self._properties, ["load", "schema", "fie... |
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 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
)
_helpers._set_... |
def from_api_repr(cls, resource, client):
"""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 to_api_repr(self):
"""Generate a resource for :meth:`_begin`."""
source_refs = [
{
"projectId": table.project,
"datasetId": table.dataset_id,
"tableId": table.table_id,
}
for table in self.sources
]
... |
def from_api_repr(cls, resource, client):
"""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 destination_uri_file_counts(self):
"""Return file counts from job statistics, if present.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.extract.destinationUriFileCounts
Returns:
a list of integer counts, each representing the number of fi... |
def to_api_repr(self):
"""Generate a resource for :meth:`_begin`."""
source_ref = {
"projectId": self.source.project,
"datasetId": self.source.dataset_id,
"tableId": self.source.table_id,
}
configuration = self._configuration.to_api_repr()
_h... |
def from_api_repr(cls, resource, client):
"""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 default_dataset(self):
"""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 :class:`~google.cloud.bigquery.dataset.Dataset`, or
... |
def destination(self):
"""google.cloud.bigquery.table.TableReference: table where results are
written or :data:`None` if not set.
The ``destination`` setter accepts:
- a :class:`~google.cloud.bigquery.table.Table`, or
- a :class:`~google.cloud.bigquery.table.TableReference`, or... |
def table_definitions(self):
"""Dict[str, google.cloud.bigquery.external_config.ExternalConfig]:
Definitions for external tables or :data:`None` if not set.
See
https://g.co/cloud/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions
"""
prop = self._... |
def to_api_repr(self):
"""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):
"""Generate a resource for :meth:`_begin`."""
configuration = self._configuration.to_api_repr()
resource = {
"jobReference": self._properties["jobReference"],
"configuration": configuration,
}
configuration["query"]["query"] = self.... |
def from_api_repr(cls, resource, client):
"""Factory: construct a job given its API representation
:type resource: dict
:param resource: dataset job representation returned from the API
:type client: :class:`google.cloud.bigquery.client.Client`
:param client: Client which hold... |
def query_plan(self):
"""Return query plan from job statistics, if present.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.queryPlan
:rtype: list of :class:`QueryPlanEntry`
:returns: mappings describing the query plan, or an empty list
... |
def timeline(self):
"""List(TimelineEntry): Return the query execution timeline
from job statistics.
"""
raw = self._job_statistics().get("timeline", ())
return [TimelineEntry.from_api_repr(entry) for entry in raw] |
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_billed(self):
"""Return total bytes billed from job statistics, if present.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.totalBytesBilled
:rtype: int or None
:returns: total bytes processed by the job, or None if job is not... |
def ddl_target_table(self):
"""Optional[TableReference]: Return the DDL target table, present
for CREATE/DROP TABLE/VIEW queries.
See:
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#statistics.query.ddlTargetTable
"""
prop = self._job_statistics().get(... |
def num_dml_affected_rows(self):
"""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
:returns: number of DML rows affected by the job, or None if job is ... |
def referenced_tables(self):
"""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 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
:rtype:
list of
:class:`~google.cloud.bigq... |
def estimated_bytes_processed(self):
"""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
:returns: number of DML rows affected by the job,... |
def done(self, retry=DEFAULT_RETRY):
"""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
# (default of 10 seconds), set the timeout p... |
def result(self, timeout=None, retry=DEFAULT_RETRY):
"""Start the job and wait for it to complete and get the result.
:type timeout: float
:param timeout:
How long (in seconds) to wait for job to complete before raising
a :class:`concurrent.futures.TimeoutError`.
... |
def to_dataframe(self, bqstorage_client=None, dtypes=None, progress_bar_type=None):
"""Return a pandas DataFrame from a QueryJob
Args:
bqstorage_client ( \
google.cloud.bigquery_storage_v1beta1.BigQueryStorageClient \
):
**Alpha Feature** Optional... |
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
"""
return cls(kind=reso... |
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
) |
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(
int(self._properties.get("endMs")) * 1000.0
) |
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 [
_helpers._int_or_none(entry)
for entry in self._properties.get("inputStages")
] |
def from_api_repr(cls, resource, client):
"""Construct an UnknownJob from the JSON representation.
Args:
resource (dict): JSON representation of a job.
client (google.cloud.bigquery.client.Client):
Client connected to BigQuery API.
Returns:
U... |
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 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:
raise ValueError("Pa... |
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:
raise ValueError... |
def resource_record_set(self, name, record_type, ttl, rrdatas):
"""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 _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 _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
... |
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 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 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 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 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 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 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 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 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 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 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 _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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