Module netapp_ontap.models.node_statistics
Copyright © 2026 NetApp Inc. All rights reserved.
This file has been automatically generated based on the ONTAP REST API documentation.
Classes
class NodeStatisticsSchema (*, 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 NodeStatistics object
Ancestors
- netapp_ontap.resource.ResourceSchema
- marshmallow.schema.Schema
- marshmallow.base.SchemaABC
- abc.ABC
Class variables
-
processor_utilization_base: Size GET -
Base counter for CPU Utilization.
Example: 12345123
-
processor_utilization_raw: Size GET -
Raw CPU utilization for the node. The change in this value over time should be divided by corresponding change in processor_utilization_base, then multiplied by 100 to calculate the percentage CPU utilization for the node. For example: ((processor_utilization_raw_t2 - processor_utilization_raw_t1) / (processor_utilization_base_t2 - processor_utilization_base_t1)) * 100.
Example: 13
-
status: str GET -
Errors associated with the sample. For example, if the aggregation of data over multiple nodes fails, then any partial errors might return "ok" on success or "error" on an internal uncategorized failure. Whenever a sample collection is missed but done at a later time, it is back filled to the previous 15 second timestamp and tagged with "backfilled_data". "inconsistent_delta_time" is encountered when the time between two collections is not the same for all nodes. Therefore, the aggregated value might be over or under inflated. "Negative_delta" is returned when an expected monotonically increasing value has decreased in value. "inconsistent_old_data" is returned when 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