QueryUsageHistoriesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)The QueryUsageHistories request. Next : 16
Attributes |
|
|---|---|
| Name | Description |
parent |
str
Required. The compute engine resource and location for the time series values to return. The format is: projects/{project}/locations/{location} or organizations/{organization}/locations/{location} or folders/{folder}/locations/{location} |
location_level |
google.cloud.capacityplanner_v1beta.types.TimeSeries.LocationType
Optional. The location level of the reservations usage timeseries. |
is_spot |
bool
Optional. The is_spot flag is used to fetch the usage data for preemptible Resources. |
machine_family |
str
The machine family for the UsageHistory values to
return. Possible values include "n1", and "n2d". See
https://cloud.google.com/compute/docs/machine-types for more
examples. Empty machine_family will return results matching
all machine families.
|
machine_shape |
google.cloud.capacityplanner_v1beta.types.MachineShape
Optional. The machine shape for the UsageHistory values
to return.
|
disk_type |
str
Optional. The disk_type for the UsageHistory values to
return request with persistent-disk cloud_resource_type.
Empty disk_type will return results matching all disk types.
|
confidential_mode |
bool
Optional. Whether the persistent disk is in confidential mode. |
gpu_type |
str
Optional. The GPU type for the UsageHistory values to
return. Sample values are "nvidia-tesla-t4", and
"nvidia-tesla-a100". See
https://cloud.google.com/compute/docs/gpus for a list. Empty
gpu_type will return results matching all GPUs.
|
tpu_type |
str
Optional. The TPU type for the UsageHistory values to
return. Empty tpu_type will return results matching all
TPUs.
|
cloud_resource_type |
str
The resource for the UsageHistory values to return.
Possible values include "gce-vcpus", "gce-ram",
"gce-local-ssd", "gce-persistent-disk", "gce-gpu" and
"gce-tpu". Empty cloud_resource_type will return results
matching all resources.
|
usage_aggregation_method |
google.cloud.capacityplanner_v1beta.types.UsageHistory.AggregationMethod
The method that should be used to convert sampled usage data to daily usage values. AGGREGATION_METHOD_UNSPECIFIED will return results matching all the aggregation methods. |
start_date |
google.type.date_pb2.Date
Optional. The start date of reservations usage. |
end_date |
google.type.date_pb2.Date
Optional. The end date of reservations usage. |