def Run(self, args):
datafusion = df.Datafusion()
instance_ref = args.CONCEPTS.instance.Parse()
request = datafusion.messages.DatafusionProjectsLocationsInstancesRestartRequest(
name=instance_ref.RelativeName())
operation = datafusion.client.projects_locations_instances.Restart(
request)
if args. async:
log.CreatedResource(instance_ref.RelativeName(),
kind='instance',
is_async=True)
return operation
else:
waiter.WaitFor(
operation_poller.OperationPoller(),
operation.name,
'Waiting for [{}] to complete. This may take several minutes.'.
format(operation.name),
wait_ceiling_ms=df.OPERATION_TIMEOUT)
log.CreatedResource(instance_ref.RelativeName(),
kind='instance',
is_async=False)
def Run(self, args):
datafusion = df.Datafusion()
instance_ref = args.CONCEPTS.instance.Parse()
# Prompt for zone if it is not specified
version = args.version
if not version:
version = ''
zone = args.zone
if not zone:
zone = ''
options = args.options
if not options:
options = {}
labels = args.labels
if not labels:
labels = {}
enable_stackdriver_logging = args.enable_stackdriver_logging
if not enable_stackdriver_logging:
enable_stackdriver_logging = False
enable_stackdriver_monitoring = args.enable_stackdriver_monitoring
if not enable_stackdriver_monitoring:
enable_stackdriver_monitoring = False
edition_mapper = arg_utils.ChoiceEnumMapper(
'edition_enum',
df.Datafusion().messages.Instance.TypeValueValuesEnum)
edition = edition_mapper.GetEnumForChoice(args.edition)
instance = datafusion.messages.Instance(
zone=zone,
type=edition,
version=version,
enableStackdriverLogging=enable_stackdriver_logging,
enableStackdriverMonitoring=enable_stackdriver_monitoring,
options=encoding.DictToAdditionalPropertyMessage(
options, datafusion.messages.Instance.OptionsValue, True),
labels=encoding.DictToAdditionalPropertyMessage(
labels, datafusion.messages.Instance.LabelsValue, True))
req = datafusion.messages.DatafusionProjectsLocationsInstancesCreateRequest(
instance=instance,
instanceId=instance_ref.Name(),
parent=instance_ref.Parent().RelativeName())
operation = datafusion.client.projects_locations_instances.Create(req)
if args.async_:
log.CreatedResource(instance_ref.RelativeName(),
kind='instance',
is_async=True)
return operation
else:
waiter.WaitFor(
operation_poller.OperationPoller(),
operation.name,
'Waiting for [{}] to complete. This may take several minutes.'.
format(operation.name),
wait_ceiling_ms=df.OPERATION_TIMEOUT)
log.CreatedResource(instance_ref.RelativeName(),
kind='instance',
is_async=False)
def Run(self, args):
datafusion = df.Datafusion()
instance_ref = args.CONCEPTS.instance.Parse()
name = instance_ref.RelativeName()
req = datafusion.messages.DatafusionProjectsLocationsInstancesDeleteRequest(
name=instance_ref.RelativeName())
console_io.PromptContinue(message="'{0}' will be deleted".format(name),
cancel_on_no=True,
cancel_string='Deletion aborted by user.',
throw_if_unattended=True)
operation = datafusion.client.projects_locations_instances.Delete(req)
log.status.write('Deleting [{0}] with operation [{1}].'.format(
instance_ref.RelativeName(), operation.name))
if args.async_:
return operation
else:
waiter.WaitFor(
operation_poller.OperationPoller(), operation.name,
'Waiting for [{}] to complete. This may take several minutes'.
format(operation.name))
def Run(self, args):
datafusion = df.Datafusion()
operation_ref = args.CONCEPTS.operation.Parse()
req = datafusion.messages.DatafusionProjectsLocationsOperationsGetRequest(
name=operation_ref.RelativeName())
operation = datafusion.client.projects_locations_operations.Get(req)
waiter.WaitFor(operation_poller.OperationPoller(),
operation.name,
'Waiting for [{}] to complete.'.format(operation.name),
wait_ceiling_ms=self.WAIT_CEILING_MS)
def Run(self, args):
datafusion = df.Datafusion()
instance_ref = args.CONCEPTS.instance.Parse()
labels = args.labels or {}
enable_stackdriver_logging = args.enable_stackdriver_logging or False
enable_stackdriver_monitoring = args.enable_stackdriver_monitoring or False
version = args.version
instance = datafusion.messages.Instance(
name=instance_ref.RelativeName(),
version=version,
enableStackdriverLogging=enable_stackdriver_logging,
enableStackdriverMonitoring=enable_stackdriver_monitoring,
labels=encoding.DictToAdditionalPropertyMessage(
labels, datafusion.messages.Instance.LabelsValue, True))
request = datafusion.messages.DatafusionProjectsLocationsInstancesPatchRequest(
instance=instance, name=instance_ref.RelativeName())
operation = datafusion.client.projects_locations_instances.Patch(
request)
if args.async_:
log.CreatedResource(instance_ref.RelativeName(),
kind='instance',
is_async=True)
return operation
else:
waiter.WaitFor(
operation_poller.OperationPoller(),
operation.name,
'Waiting for [{}] to complete. This may take several minutes.'.
format(operation.name),
wait_ceiling_ms=df.OPERATION_TIMEOUT)
log.UpdatedResource(instance_ref.RelativeName(),
kind='instance',
is_async=False)
def Run(self, args):
datafusion = df.Datafusion()
instance_ref = args.CONCEPTS.instance.Parse()
# Prompt for zone if it is not specified
zone = args.zone
if not zone:
holder = compute_base.ComputeApiHolder(self.ReleaseTrack())
_, zone = scope_prompter.PromptForScope(
resource_name='instance',
underspecified_names=[instance_ref.Name()],
scopes=[compute_scope.ScopeEnum.ZONE],
default_scope=None,
scope_lister=flags.GetDefaultScopeLister(holder.client))
options = args.options
if not options:
options = {}
labels = args.labels
if not labels:
labels = {}
enable_stackdriver_logging = args.enable_stackdriver_logging
if not enable_stackdriver_logging:
enable_stackdriver_logging = False
enable_stackdriver_monitoring = args.enable_stackdriver_monitoring
if not enable_stackdriver_monitoring:
enable_stackdriver_monitoring = False
edition = args.edition.upper()
if edition == 'ENTERPRISE':
edition = datafusion.messages.Instance.TypeValueValuesEnum.ENTERPRISE
else:
edition = datafusion.messages.Instance.TypeValueValuesEnum.BASIC
instance = datafusion.messages.Instance(
zone=zone,
type=edition,
enableStackdriverLogging=enable_stackdriver_logging,
enableStackdriverMonitoring=enable_stackdriver_monitoring,
options=encoding.DictToAdditionalPropertyMessage(
options, datafusion.messages.Instance.OptionsValue, True),
labels=encoding.DictToAdditionalPropertyMessage(
labels, datafusion.messages.Instance.LabelsValue, True))
req = datafusion.messages.DatafusionProjectsLocationsInstancesCreateRequest(
instance=instance,
instanceId=instance_ref.Name(),
parent=instance_ref.Parent().RelativeName())
operation = datafusion.client.projects_locations_instances.Create(req)
if args.async:
log.CreatedResource(
instance_ref.RelativeName(), kind='instance', is_async=True)
return operation
else:
waiter.WaitFor(
operation_poller.OperationPoller(),
operation.name,
'Waiting for [{}] to complete. This may take several minutes.'.format(
operation.name),
wait_ceiling_ms=df.OPERATION_TIMEOUT)
log.CreatedResource(
instance_ref.RelativeName(), kind='instance', is_async=False)