Schema:: LOCAL

DATA_QUALITY_MONITORING_ANOMALY_DETECTION_STATUS view¶

This view displays a row for every time a data metric function (DMF) ran with anomaly detection enabled.

Columns¶

Column name	Data type	Description
`scheduled_time`	TIMESTAMP_LTZ	The time that the DMF is scheduled to run based on the schedule that you set for the table or view.
`change_commit_time`	TIMESTAMP_LTZ	The time that the DMF trigger operation occurred, or `None` if the DMF is not scheduled to run by a trigger operation. For information about the trigger operation, see Adjust the schedule for DMFs.
`measurement_time`	TIMESTAMP_LTZ	The time at which the metric was evaluated.
`table_id`	NUMBER	Internal, system-generated identifier of the table that is associated with the DMF.
`table_name`	VARCHAR	Name of the table that is associated with the DMF.
`table_schema`	VARCHAR	Name of the schema name that contains the table that is associated with the DMF.
`table_database`	VARCHAR	Name of the database that contains the table that is associated with the DMF.
`metric_id`	NUMBER	Internal, system-generated identifier of the DMF.
`metric_name`	VARCHAR	Name of the DMF.
`metric_schema`	VARCHAR	Name of the schema that contains the DMF.
`metric_database`	VARCHAR	Name of the database that contains the DMF.
`metric_return_type`	VARCHAR	Return type of the DMF.
`reference_id`	VARCHAR	The ID to uniquely identify the metric entity reference, known as the association ID.
`value`	VARIANT	The result of the DMF evaluation.
`is_anomaly`	BOOLEAN	If TRUE, the `value` returned by the DMF is an anomaly because it was outside the range of `upperbound` and `lowerbound`.
`upperbound`	NUMBER	Highest value that should be returned by the DMF based on the anomaly-detecting algorithm. Values returned by the DMF that are above this upper bound are considered anomalies.
`lowerbound`	NUMBER	Lowest value that should be returned by the DMF based on the anomaly-detecting algorithm. Values returned by the DMF that are below this lower bound are considered anomalies.
`forecast`	NUMBER	Value that the anomaly-detecting algorithm predicted would be returned by the DMF.

Access control requirements¶

The role used to query the view must be granted one of the following application roles:

SNOWFLAKE.DATA_QUALITY_MONITORING_VIEWER
SNOWFLAKE.DATA_QUALITY_MONITORING_ADMIN