# Module `netapp_ontap.models.node_statistics`

Copyright © 2022 NetApp Inc. All rights reserved.

## Classes

`class NodeStatisticsSchema (*, only: Union[Sequence[str], Set[str]] = None, exclude: Union[Sequence[str], Set[str]] = (), many: bool = False, context: Dict = None, load_only: Union[Sequence[str], Set[str]] = (), dump_only: Union[Sequence[str], Set[str]] = (), partial: Union[bool, Sequence[str], Set[str]] = False, unknown: str = None)`

  The fields of the NodeStatistics object

  ### Ancestors

  - netapp_ontap.resource.ResourceSchema
  - marshmallow.schema.Schema
  - marshmallow.base.SchemaABC

  ### Class variables

  `processor_utilization_base GET`

    Base counter for CPU Utilization.

    Example: 12345123

  `processor_utilization_raw GET`

    Raw CPU Utilization for the node. This should be divided by the processor_utilization_base to calculate the percentage CPU utilization for the node.

    Example: 13

  `status 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 GET`

    The timestamp of the performance data.

    Example: 2017-01-25T11:20:13.000+0000