Module netapp_ontap.models.dcn_node_statistics
Copyright © 2026 NetApp Inc. All rights reserved.
This file has been automatically generated based on the ONTAP REST API documentation.
Classes
class DcnNodeStatisticsSchema (*, only: types.StrSequenceOrSet | None = None, exclude: types.StrSequenceOrSet = (), many: bool | None = None, context: dict | None = None, load_only: types.StrSequenceOrSet = (), dump_only: types.StrSequenceOrSet = (), partial: bool | types.StrSequenceOrSet | None = None, unknown: str | None = None)-
The fields of the DcnNodeStatistics object
Ancestors
- netapp_ontap.resource.ResourceSchema
- marshmallow.schema.Schema
- marshmallow.base.SchemaABC
- abc.ABC
Class variables
-
cpu: DcnNodeStatisticsCpu GET -
The cpu field of the dcn_node_statistics.
-
gpu: DcnNodeStatisticsGpu GET -
The gpu field of the dcn_node_statistics.
-
status: str GET -
- ok: The sample was collected successfully without any errors.
- error: An internal uncategorized failure occurred during the sample collection.
- partial_no_data: The sample collection was incomplete due to missing data.
- partial_no_uuid: The sample collection was incomplete due to a missing UUID.
- partial_no_response: The sample collection was incomplete due to no response from one or more nodes.
- partial_other_error: The sample collection was incomplete due to other unspecified errors.
- negative_delta: An expected monotonically increasing value has decreased in value.
- backfilled_data: The sample collection was completed at a later time and backfilled to the previous 15-second timestamp.
- inconsistent_delta_time: The time between two collections is not the same for all nodes, causing the aggregated value to be over or under-inflated.
- inconsistent_old_data: One or more nodes do not have the latest data.
Valid choices:
- ok
- error
- partial_no_data
- partial_no_uuid
- partial_no_response
- partial_other_error
- negative_delta
- backfilled_data
- inconsistent_delta_time
- inconsistent_old_data
-
timestamp: ImpreciseDateTime GET -
The timestamp of the performance data.
Example: 2017-01-25T11:20:13.000+0000