This keeps track of the overall status of a refresh. A refresh can span multiple resources such as the creation of new dataset versions and the training of a new model version based on them.
| KEY | TYPE | Description |
|---|---|---|
| refreshPipelineRunId | str | The unique identifier for the refresh pipeline run. |
| refreshPolicyId | str | Populated when the run was triggered by a refresh policy. |
| createdAt | str | The time when this refresh pipeline run was created, in ISO-8601 format. |
| startedAt | str | The time when the refresh pipeline run was started, in ISO-8601 format. |
| completedAt | str | The time when the refresh pipeline run was completed, in ISO-8601 format. |
| status | str | The status of the refresh pipeline run. |
| refreshType | str | The type of refresh policy to be run. |
| datasetVersions | List[str] | A list of dataset version IDs that this refresh pipeline run is monitoring. |
| featureGroupVersion | str | The feature group version ID that this refresh pipeline run is monitoring. |
| modelVersions | List[str] | A list of model version IDs that this refresh pipeline run is monitoring. |
| deploymentVersions | List[str] | A list of deployment version IDs that this refresh pipeline run is monitoring. |
| batchPredictions | List[str] | A list of batch prediction IDs that this refresh pipeline run is monitoring. |
| refreshPolicy | RefreshPolicy | The refresh policy for this refresh policy run. |